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1. Linearity and rate capability measurements of RPC with semi-insulating crystalline electrodes operating in avalanche mode

Author

Rocchi, A., Cardarelli, R., Liberti, B., Aielli, G., Camelia, E. Alunno, Camarri, P., Cirillo, M., Di Ciaccio, A., Di Stante, L., Lucci, M., Pastori, E., Pizzimento, L., Proto, G., Tusi, E., and Santonico, R.

Subjects
Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract

The intrinsic rate capability and the ageing properties of the Resistive Plate Chambers are closely related to the electrodes material and to the front-end electronics threshold. The development of a low noise pre-amplifier led us to improve the intrinsic rate capability of High Pressure Laminate (bakelite) up to $\sim10\;kHz/cm^2$, nevertheless the effective rate is significantly limited by electrodes ageing. To further improve the effective rate capability new materials are investigated. A Resistive Plate Chamber with crystalline semi-insulating Gallium Arsenide electrodes has been characterized with high energy electrons beam at the Beam Test Facility (BFT), (INFN National Laboratory of Frascati, Italy). The response of the Resistive Plate Chamber to multiple bunched electrons was measured operating the detector in avalanche mode. The intrinsic rate capability has been also measured operating the detector in a uniform high energy gamma radiation field at the GIF++ facility (EHN1 of SPS, CERN)., Comment: 6 pages, 7 figures

Published
2020
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2. Conditioning of Superconductive Properties in Graph-Shaped Reticles

Author

Lucci, M., Cassi, D., Merlo, V., Russo, R., Salina, G., and Cirillo, M.

Subjects
Condensed Matter - Superconductivity, Condensed Matter - Statistical Mechanics
Abstract

We report on phenomena observed in planar integrated networks obtained connecting superconducting island by Josephson tunnel junctions. These networks, identifiable as tree-like graphs, have branches consisting of series arrays of Josephson junctions which can be individually current biased and characterized. Both Josephson supercurrents and gap parameters of the arrays embedded in the graph structures display properties significantly different from those of reference arrays fabricated on the same chips and having identical geometrical shape. The temperature and magnetic field dependencies of the Josephson current of the embedded arrays both show a singular behavior when a critical value is reached by the Josephson characteristic energy. The gap parameter of the junctions generating the embedded arrays is higher than that of the junctions forming the reference geometrical arrays., Comment: 18 pages and 6 figures

Published
2020

3. Transport and Photo-Conduction in Carbon Nanotube Fibers

Author

Dewey, O. S., Headrick, R. J., Taylor, L. W., Pasquali, M., Prestopino, G., Rinati, G. Verona, Lucci, M., and Cirillo, M.

Subjects
Physics - Applied Physics, Condensed Matter - Materials Science
Abstract

We have characterized the conductivity of carbon nanotubes (CNT) fibers enriched in semiconducting species as a function of temperature and pulsed laser irradiation of 266 nm wavelength. While at high temperatures the response approaches an Arrhenius law behavior, from room temperature down to 4.2 K the response can be framed, quantitatively, within the predictions of the fluctuation induced tunneling which occurs between the inner fibrils (bundles) of the samples and/or the elementary CNTs constituting the fibers. Laser irradiation induces an enhancement of the conductivity, and analysis of the resulting data confirms the (exponential) dependence of the potential barrier upon temperature as expected from the fluctuation induced tunneling model. A thermal map of the experimental configuration consisting of laser-irradiated fibers is also obtained via COMSOL simulations in order to rule out bare heating phenomena as the background of our experiments. (*) Author, Comment: 13 pages and 7 figures

Published
2019
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5. Prognostic Value and Relative Cutoffs of Triglycerides Predicting Cardiovascular Outcome in a Large Regional‐Based Italian Database

Author

Tikhonoff, V, Casiglia, E, Virdis, A, Grassi, G, Angeli, F, Arca, M, Barbagallo, C, Bombelli, M, Cappelli, F, Cianci, R, Cicero, A, Cirillo, M, Cirillo, P, Dell'Oro, R, D'Elia, L, Desideri, G, Ferri, C, Galletti, F, Gesualdo, L, Giannattasio, C, Iaccarino, G, Mallamaci, F, Maloberti, A, Masi, S, Masulli, M, Mazza, A, Mengozzi, A, Muiesan, M, Nazzaro, P, Palatini, P, Parati, G, Pontremoli, R, Quarti-Trevano, F, Rattazzi, M, Reboldi, G, Rivasi, G, Russo, E, Salvetti, M, Temporelli, P, Tocci, G, Ungar, A, Verdecchia, P, Viazzi, F, Volpe, M, Borghi, C, Tikhonoff V., Casiglia E., Virdis A., Grassi G., Angeli F., Arca M., Barbagallo C. M., Bombelli M., Cappelli F., Cianci R., Cicero A. F. G., Cirillo M., Cirillo P., Dell'oro R., D'elia L., Desideri G., Ferri C., Galletti F., Gesualdo L., Giannattasio C., Iaccarino G., Mallamaci F., Maloberti A., Masi S., Masulli M., Mazza A., Mengozzi A., Muiesan M. L., Nazzaro P., Palatini P., Parati G., Pontremoli R., Quarti-Trevano F., Rattazzi M., Reboldi G., Rivasi G., Russo E., Salvetti M., Temporelli P. L., Tocci G., Ungar A., Verdecchia P., Viazzi F., Volpe M., Borghi C., Tikhonoff, V, Casiglia, E, Virdis, A, Grassi, G, Angeli, F, Arca, M, Barbagallo, C, Bombelli, M, Cappelli, F, Cianci, R, Cicero, A, Cirillo, M, Cirillo, P, Dell'Oro, R, D'Elia, L, Desideri, G, Ferri, C, Galletti, F, Gesualdo, L, Giannattasio, C, Iaccarino, G, Mallamaci, F, Maloberti, A, Masi, S, Masulli, M, Mazza, A, Mengozzi, A, Muiesan, M, Nazzaro, P, Palatini, P, Parati, G, Pontremoli, R, Quarti-Trevano, F, Rattazzi, M, Reboldi, G, Rivasi, G, Russo, E, Salvetti, M, Temporelli, P, Tocci, G, Ungar, A, Verdecchia, P, Viazzi, F, Volpe, M, Borghi, C, Tikhonoff V., Casiglia E., Virdis A., Grassi G., Angeli F., Arca M., Barbagallo C. M., Bombelli M., Cappelli F., Cianci R., Cicero A. F. G., Cirillo M., Cirillo P., Dell'oro R., D'elia L., Desideri G., Ferri C., Galletti F., Gesualdo L., Giannattasio C., Iaccarino G., Mallamaci F., Maloberti A., Masi S., Masulli M., Mazza A., Mengozzi A., Muiesan M. L., Nazzaro P., Palatini P., Parati G., Pontremoli R., Quarti-Trevano F., Rattazzi M., Reboldi G., Rivasi G., Russo E., Salvetti M., Temporelli P. L., Tocci G., Ungar A., Verdecchia P., Viazzi F., Volpe M., and Borghi C.

Abstract

BACKGROUND: Despite longstanding epidemiologic data on the association between increased serum triglycerides and cardiovascular events, the exact level at which risk begins to rise is unclear. The Working Group on Uric Acid and Cardiovascular Risk of the Italian Society of Hypertension has conceived a protocol aimed at searching for the prognostic cutoff value of triglycerides in predicting cardiovascular events in a large regional-based Italian cohort. METHODS AND RESULTS: Among 14 189 subjects aged 18 to 95 years followed-up for 11.2 (5.3–13.2) years, the prognostic cutoff value of triglycerides, able to discriminate combined cardiovascular events, was identified by means of receiver operating characteristic curve. The conventional (150 mg/dL) and the prognostic cutoff values of triglycerides were used as independent predictors in separate multivariable Cox regression models adjusted for age, sex, body mass index, total and high-density lipoprotein cholesterol, serum uric acid, arterial hypertension, diabetes, chronic renal disease, smoking habit, and use of an-tihypertensive and lipid-lowering drugs. During 139 375 person-years of follow-up, 1601 participants experienced cardiovascular events. Receiver operating characteristic curve showed that 89 mg/dL (95% CI, 75.8–103.3, sensitivity 76.6, specificity 34.1, P<0.0001) was the prognostic cutoff value for cardiovascular events. Both cutoff values of triglycerides, the conventional and the newly identified, were accepted as multivariate predictors in separate Cox analyses, the hazard ratios being 1.211 (95% CI, 1.063–1.378, P=0.004) and 1.150 (95% CI, 1.021–1.295, P=0.02), respectively. CONCLUSIONS: Lower (89 mg/dL) than conventional (150 mg/dL) prognostic cutoff value of triglycerides for cardiovascular events does exist and is associated with increased cardiovascular risk in an Italian cohort.

Published
2024

6. Engineering Quantum Interference

Author

Lucci, M., Merlo, V., Ottaviani, I., Cirillo, M., Badoni, D., Campanari, V., Salina, G., Caputo, J. G., and Loukitch, L.

Subjects
Condensed Matter - Superconductivity
Abstract

A model for describing interference and diffraction of wave functions of one-dimensional Josephson array interferometers is presented. The derived expression for critical current modulations accounts for an arbitrary number of square junctions, variable distance between these, and variable size of their area. Predictions are tested on real arrays containing up to 20 equally spaced and identical junctions and on arrays shaped with peculiar geometries. Very good agreement with the modulations predicted by the model and the experimental results is obtained for all the tested configurations. It is shown that specific designs of the arrays generate significant differences in their static and dynamical (non-zero voltage) properties. The results demonstrate that the magnetic field dependence of Josephson supercurrents shows how interference and diffraction of macroscopic quantum wavefunctions can be manipulated and controlled., Comment: 5 pages, 4 figures

Published
2018
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8. Serum Uric Acid, Hypertriglyceridemia, and Carotid Plaques: A Sub-Analysis of the URic Acid Right for Heart Health (URRAH) Study

Author

Agabiti Rosei, C, Paini, A, Buso, G, Maloberti, A, Giannattasio, C, Salvetti, M, Casiglia, E, Tikhonoff, V, Angeli, F, Barbagallo, C, Bombelli, M, Cappelli, F, Cianci, R, Ciccarelli, M, Cicero, A, Cirillo, M, Cirillo, P, Dell'Oro, R, D'Elia, L, Desideri, G, Ferri, C, Galletti, F, Gesualdo, L, Grassi, G, Iaccarino, G, Lippa, L, Mallamaci, F, Masi, S, Masulli, M, Mazza, A, Mengozzi, A, Nazzaro, P, Palatini, P, Parati, G, Pontremoli, R, Quarti-Trevano, F, Rattazzi, M, Reboldi, G, Rivasi, G, Russo, E, Tocci, G, Ungar, A, Verdecchia, P, Viazzi, F, Volpe, M, Virdis, A, Muiesan, M, Borghi, C, Agabiti Rosei, Claudia, Paini, Anna, Buso, Giacomo, Maloberti, Alessandro, Giannattasio, Cristina, Salvetti, Massimo, Casiglia, Edoardo, Tikhonoff, Valerie, Angeli, Fabio, Barbagallo, Carlo Maria, Bombelli, Michele, Cappelli, Federica, Cianci, Rosario, Ciccarelli, Michele, Cicero, Arrigo Francesco Giuseppe, Cirillo, Massimo, Cirillo, Pietro, Dell'Oro, Raffaella, D'Elia, Lanfranco, Desideri, Giovambattista, Ferri, Claudio, Galletti, Ferruccio, Gesualdo, Loreto, Grassi, Guido, Iaccarino, Guido, Lippa, Luciano, Mallamaci, Francesca, Masi, Stefano, Masulli, Maria, Mazza, Alberto, Mengozzi, Alessandro, Nazzaro, Pietro, Palatini, Paolo, Parati, Gianfranco, Pontremoli, Roberto, Quarti-Trevano, Fosca, Rattazzi, Marcello, Reboldi, Gianpaolo, Rivasi, Giulia, Russo, Elisa, Tocci, Giuliano, Ungar, Andrea, Verdecchia, Paolo, Viazzi, Francesca, Volpe, Massimo, Virdis, Agostino, Muiesan, Maria Lorenza, Borghi, Claudio, Agabiti Rosei, C, Paini, A, Buso, G, Maloberti, A, Giannattasio, C, Salvetti, M, Casiglia, E, Tikhonoff, V, Angeli, F, Barbagallo, C, Bombelli, M, Cappelli, F, Cianci, R, Ciccarelli, M, Cicero, A, Cirillo, M, Cirillo, P, Dell'Oro, R, D'Elia, L, Desideri, G, Ferri, C, Galletti, F, Gesualdo, L, Grassi, G, Iaccarino, G, Lippa, L, Mallamaci, F, Masi, S, Masulli, M, Mazza, A, Mengozzi, A, Nazzaro, P, Palatini, P, Parati, G, Pontremoli, R, Quarti-Trevano, F, Rattazzi, M, Reboldi, G, Rivasi, G, Russo, E, Tocci, G, Ungar, A, Verdecchia, P, Viazzi, F, Volpe, M, Virdis, A, Muiesan, M, Borghi, C, Agabiti Rosei, Claudia, Paini, Anna, Buso, Giacomo, Maloberti, Alessandro, Giannattasio, Cristina, Salvetti, Massimo, Casiglia, Edoardo, Tikhonoff, Valerie, Angeli, Fabio, Barbagallo, Carlo Maria, Bombelli, Michele, Cappelli, Federica, Cianci, Rosario, Ciccarelli, Michele, Cicero, Arrigo Francesco Giuseppe, Cirillo, Massimo, Cirillo, Pietro, Dell'Oro, Raffaella, D'Elia, Lanfranco, Desideri, Giovambattista, Ferri, Claudio, Galletti, Ferruccio, Gesualdo, Loreto, Grassi, Guido, Iaccarino, Guido, Lippa, Luciano, Mallamaci, Francesca, Masi, Stefano, Masulli, Maria, Mazza, Alberto, Mengozzi, Alessandro, Nazzaro, Pietro, Palatini, Paolo, Parati, Gianfranco, Pontremoli, Roberto, Quarti-Trevano, Fosca, Rattazzi, Marcello, Reboldi, Gianpaolo, Rivasi, Giulia, Russo, Elisa, Tocci, Giuliano, Ungar, Andrea, Verdecchia, Paolo, Viazzi, Francesca, Volpe, Massimo, Virdis, Agostino, Muiesan, Maria Lorenza, and Borghi, Claudio

Abstract

High levels of serum uric acid (SUA) and triglycerides (TG) might promote high-cardiovascular-risk phenotypes, including subclinical atherosclerosis. An interaction between plaques xanthine oxidase (XO) expression, SUA, and HDL-C has been recently postulated. Subjects from the URic acid Right for heArt Health (URRAH) study with carotid ultrasound and without previous cardiovascular diseases (CVD) (n = 6209), followed over 20 years, were included in the analysis. Hypertriglyceridemia (hTG) was defined as TG ≥ 150 mg/dL. Higher levels of SUA (hSUA) were defined as ≥5.6 mg/dL in men and 5.1 mg/dL in women. A carotid plaque was identified in 1742 subjects (28%). SUA and TG predicted carotid plaque (HR 1.09 [1.04-1.27], p < 0.001 and HR 1.25 [1.09-1.45], p < 0.001) in the whole population, independently of age, sex, diabetes, systolic blood pressure, HDL and LDL cholesterol and treatment. Four different groups were identified (normal SUA and TG, hSUA and normal TG, normal SUA and hTG, hSUA and hTG). The prevalence of plaque was progressively greater in subjects with normal SUA and TG (23%), hSUA and normal TG (31%), normal SUA and hTG (34%), and hSUA and hTG (38%) (Chi-square, 0.0001). Logistic regression analysis showed that hSUA and normal TG [HR 1.159 (1.002 to 1.341); p = 0.001], normal SUA and hTG [HR 1.305 (1.057 to 1.611); p = 0.001], and the combination of hUA and hTG [HR 1.539 (1.274 to 1.859); p = 0.001] were associated with a higher risk of plaque. Our findings demonstrate that SUA is independently associated with the presence of carotid plaque and suggest that the combination of hyperuricemia and hypertriglyceridemia is a stronger determinant of carotid plaque than hSUA or hTG taken as single risk factors. The association between SUA and CVD events may be explained in part by a direct association of UA with carotid plaques.

Published
2024

9. Risk of Cardiovascular Events in Metabolically Healthy Overweight or Obese Adults: Role of LDL-Cholesterol in the Stratification of Risk

Author

Palatini, P, Virdis, A, Masi, S, Mengozzi, A, Casiglia, E, Tikhonoff, V, Cicero, A, Ungar, A, Parati, G, Rivasi, G, Salvetti, M, Barbagallo, C, Bombelli, M, Dell'Oro, R, Bruno, B, Lippa, L, D'Elia, L, Masulli, M, Verdecchia, P, Reboldi, G, Angeli, F, Cianci, R, Mallamaci, F, Cirillo, M, Rattazzi, M, Cirillo, P, Gesualdo, L, Russo, E, Mazza, A, Giannattasio, C, Maloberti, A, Volpe, M, Tocci, G, Iaccarino, G, Nazzaro, P, Galletti, F, Ferri, C, Desideri, G, Viazzi, F, Pontremoli, R, Muiesan, M, Grassi, G, Borghi, C, Palatini, Paolo, Virdis, Agostino, Masi, Stefano, Mengozzi, Alessandro, Casiglia, Edoardo, Tikhonoff, Valerie, Cicero, Arrigo F G, Ungar, Andrea, Parati, Gianfranco, Rivasi, Giulia, Salvetti, Massimo, Barbagallo, Carlo Maria, Bombelli, Michele, Dell'Oro, Raffaella, Bruno, Berardino, Lippa, Luciano, D'Elia, Lanfranco, Masulli, Maria, Verdecchia, Paolo, Reboldi, Gianpaolo, Angeli, Fabio, Cianci, Rosario, Mallamaci, Francesca, Cirillo, Massimo, Rattazzi, Marcello, Cirillo, Pietro, Gesualdo, Loreto, Russo, Elisa, Mazza, Alberto, Giannattasio, Cristina, Maloberti, Alessandro, Volpe, Massimo, Tocci, Giuliano, Iaccarino, Guido, Nazzaro, Pietro, Galletti, Ferruccio, Ferri, Claudio, Desideri, Giovambattista, Viazzi, Francesca, Pontremoli, Roberto, Muiesan, Maria Lorenza, Grassi, Guido, Borghi, Claudio, Palatini, P, Virdis, A, Masi, S, Mengozzi, A, Casiglia, E, Tikhonoff, V, Cicero, A, Ungar, A, Parati, G, Rivasi, G, Salvetti, M, Barbagallo, C, Bombelli, M, Dell'Oro, R, Bruno, B, Lippa, L, D'Elia, L, Masulli, M, Verdecchia, P, Reboldi, G, Angeli, F, Cianci, R, Mallamaci, F, Cirillo, M, Rattazzi, M, Cirillo, P, Gesualdo, L, Russo, E, Mazza, A, Giannattasio, C, Maloberti, A, Volpe, M, Tocci, G, Iaccarino, G, Nazzaro, P, Galletti, F, Ferri, C, Desideri, G, Viazzi, F, Pontremoli, R, Muiesan, M, Grassi, G, Borghi, C, Palatini, Paolo, Virdis, Agostino, Masi, Stefano, Mengozzi, Alessandro, Casiglia, Edoardo, Tikhonoff, Valerie, Cicero, Arrigo F G, Ungar, Andrea, Parati, Gianfranco, Rivasi, Giulia, Salvetti, Massimo, Barbagallo, Carlo Maria, Bombelli, Michele, Dell'Oro, Raffaella, Bruno, Berardino, Lippa, Luciano, D'Elia, Lanfranco, Masulli, Maria, Verdecchia, Paolo, Reboldi, Gianpaolo, Angeli, Fabio, Cianci, Rosario, Mallamaci, Francesca, Cirillo, Massimo, Rattazzi, Marcello, Cirillo, Pietro, Gesualdo, Loreto, Russo, Elisa, Mazza, Alberto, Giannattasio, Cristina, Maloberti, Alessandro, Volpe, Massimo, Tocci, Giuliano, Iaccarino, Guido, Nazzaro, Pietro, Galletti, Ferruccio, Ferri, Claudio, Desideri, Giovambattista, Viazzi, Francesca, Pontremoli, Roberto, Muiesan, Maria Lorenza, Grassi, Guido, and Borghi, Claudio

Abstract

The objective of this study was to investigate the longitudinal association of metabolically healthy overweight/obese adults with major adverse cardiovascular events (MACE) and the effect of LDL-cholesterol levels on this association. This study was conducted with 15,904 participants from the URRAH study grouped according to BMI and metabolic status. Healthy metabolic status was identified with and without including LDL-cholesterol. The risk of MACE during 11.8 years of follow-up was evaluated with multivariable Cox regressions. Among the participants aged <70 years, high BMI was associated with an increased risk of MACE, whereas among the older subjects it was associated with lower risk. Compared to the group with normal weight/healthy metabolic status, the metabolically healthy participants aged <70 years who were overweight/obese had an increased risk of MACE with an adjusted hazard ratio of 3.81 (95% CI, 1.34-10.85, p = 0.012). However, when LDL-cholesterol < 130 mg/dL was included in the definition of healthy metabolic status, no increase in risk was found in the overweight/obese adults compared to the normal weight individuals (hazard ratio 0.70 (0.07-6.71, p = 0.75). The present data show that the risk of MACE is increased in metabolically healthy overweight/obese individuals identified according to standard criteria. However, when LDL-cholesterol is included in the definition, metabolically healthy individuals who are overweight/obese have no increase in risk.

Published
2024

10. Triglyceride-glucose Index and Mortality in a Large Regional-based Italian Database (Urrah Project)

Author

D'Elia, L, Masulli, M, Virdis, A, Casiglia, E, Tikhonoff, V, Angeli, F, Barbagallo, C, Bombelli, M, Cappelli, F, Cianci, R, Ciccarelli, M, Cicero, A, Cirillo, M, Cirillo, P, Dell'Oro, R, Desideri, G, Ferri, C, Gesualdo, L, Giannattasio, C, Grassi, G, Iaccarino, G, Lippa, L, Mallamaci, F, Maloberti, A, Masi, S, Mazza, A, Mengozzi, A, Muiesan, M, Nazzaro, P, Palatini, P, Parati, G, Pontremoli, R, Quarti-Trevano, F, Rattazzi, M, Reboldi, G, Rivasi, G, Russo, E, Salvetti, M, Tocci, G, Ungar, A, Verdecchia, P, Viazzi, F, Volpe, M, Borghi, C, Galletti, F, D'Elia, Lanfranco, Masulli, Maria, Virdis, Agostino, Casiglia, Edoardo, Tikhonoff, Valerie, Angeli, Fabio, Barbagallo, Carlo Maria, Bombelli, Michele, Cappelli, Federica, Cianci, Rosario, Ciccarelli, Michele, Cicero, Arrigo F G, Cirillo, Massimo, Cirillo, Pietro, Dell'Oro, Raffaella, Desideri, Giovambattista, Ferri, Claudio, Gesualdo, Loreto, Giannattasio, Cristina, Grassi, Guido, Iaccarino, Guido, Lippa, Luciano, Mallamaci, Francesca, Maloberti, Alessandro, Masi, Stefano, Mazza, Alberto, Mengozzi, Alessandro, Muiesan, Maria Lorenza, Nazzaro, Pietro, Palatini, Paolo, Parati, Gianfranco, Pontremoli, Roberto, Quarti-Trevano, Fosca, Rattazzi, Marcello, Reboldi, Gianpaolo, Rivasi, Giulia, Russo, Elisa, Salvetti, Massimo, Tocci, Giuliano, Ungar, Andrea, Verdecchia, Paolo, Viazzi, Francesca, Volpe, Massimo, Borghi, Claudio, Galletti, Ferruccio, D'Elia, L, Masulli, M, Virdis, A, Casiglia, E, Tikhonoff, V, Angeli, F, Barbagallo, C, Bombelli, M, Cappelli, F, Cianci, R, Ciccarelli, M, Cicero, A, Cirillo, M, Cirillo, P, Dell'Oro, R, Desideri, G, Ferri, C, Gesualdo, L, Giannattasio, C, Grassi, G, Iaccarino, G, Lippa, L, Mallamaci, F, Maloberti, A, Masi, S, Mazza, A, Mengozzi, A, Muiesan, M, Nazzaro, P, Palatini, P, Parati, G, Pontremoli, R, Quarti-Trevano, F, Rattazzi, M, Reboldi, G, Rivasi, G, Russo, E, Salvetti, M, Tocci, G, Ungar, A, Verdecchia, P, Viazzi, F, Volpe, M, Borghi, C, Galletti, F, D'Elia, Lanfranco, Masulli, Maria, Virdis, Agostino, Casiglia, Edoardo, Tikhonoff, Valerie, Angeli, Fabio, Barbagallo, Carlo Maria, Bombelli, Michele, Cappelli, Federica, Cianci, Rosario, Ciccarelli, Michele, Cicero, Arrigo F G, Cirillo, Massimo, Cirillo, Pietro, Dell'Oro, Raffaella, Desideri, Giovambattista, Ferri, Claudio, Gesualdo, Loreto, Giannattasio, Cristina, Grassi, Guido, Iaccarino, Guido, Lippa, Luciano, Mallamaci, Francesca, Maloberti, Alessandro, Masi, Stefano, Mazza, Alberto, Mengozzi, Alessandro, Muiesan, Maria Lorenza, Nazzaro, Pietro, Palatini, Paolo, Parati, Gianfranco, Pontremoli, Roberto, Quarti-Trevano, Fosca, Rattazzi, Marcello, Reboldi, Gianpaolo, Rivasi, Giulia, Russo, Elisa, Salvetti, Massimo, Tocci, Giuliano, Ungar, Andrea, Verdecchia, Paolo, Viazzi, Francesca, Volpe, Massimo, Borghi, Claudio, and Galletti, Ferruccio

Abstract

Purpose: Recently, a novel index (triglyceride-glucose index-TyG) was considered a surrogate marker of insulin resistance (IR); in addition, it was estimated to be a better expression of IR than widely used tools. Few and heterogeneous data are available on the relationship between this index and mortality risk in non-Asian populations. Therefore, we estimated the predictive role of baseline TyG on the incidence of all-cause and cardiovascular (CV) mortality in a large sample of the general population. Moreover, in consideration of the well-recognized role of serum uric acid (SUA) on CV risk and the close correlation between SUA and IR, we also evaluated the combined effect of TyG and SUA on mortality risk. Methods: The analysis included 16,649 participants from the URRAH cohort. The risk of all-cause and CV mortality was evaluated by the Kaplan-Meier estimator and Cox multivariate analysis. Results: During a median follow-up of 144 months, 2569 deaths occurred. We stratified the sample by the optimal cut-off point for all-cause (4.62) and CV mortality (4.53). In the multivariate Cox regression analyses, participants with TyG above cut-off had a significantly higher risk of all-cause and CV mortality, than those with TyG below the cut-off. Moreover, the simultaneous presence of high levels of TyG and SUA was associated with a higher mortality risk than none or only one of the two factors. Conclusions: The results of this study indicate that these TyG (a low-cost and simple non-invasive marker) thresholds are predictive of an increased risk of mortality in a large and homogeneous general population. In addition, these results show a synergic effect of TyG and SUA on the risk of mortality.

Published
2024

11. Serum Uric Acid/Serum Creatinine Ratio and Cardiovascular Mortality in Diabetic Individuals—The Uric Acid Right for Heart Health (URRAH) Project

Author

D’Elia, L, Masulli, M, Cirillo, P, Virdis, A, Casiglia, E, Tikhonoff, V, Angeli, F, Barbagallo, C, Bombelli, M, Cappelli, F, Cianci, R, Ciccarelli, M, Cicero, A, Cirillo, M, Dell’Oro, R, Desideri, G, Ferri, C, Gesualdo, L, Giannattasio, C, Grassi, G, Iaccarino, G, Lippa, L, Mallamaci, F, Maloberti, A, Masi, S, Mazza, A, Mengozzi, A, Muiesan, M, Nazzaro, P, Palatini, P, Parati, G, Pontremoli, R, Quarti-Trevano, F, Rattazzi, M, Reboldi, G, Rivasi, G, Russo, E, Salvetti, M, Tocci, G, Ungar, A, Verdecchia, P, Viazzi, F, Volpe, M, Borghi, C, Galletti, F, D’Elia, Lanfranco, Masulli, Maria, Cirillo, Pietro, Virdis, Agostino, Casiglia, Edoardo, Tikhonoff, Valerie, Angeli, Fabio, Barbagallo, Carlo Maria, Bombelli, Michele, Cappelli, Federica, Cianci, Rosario, Ciccarelli, Michele, Cicero, Arrigo F. G., Cirillo, Massimo, Dell’Oro, Raffaella, Desideri, Giovambattista, Ferri, Claudio, Gesualdo, Loreto, Giannattasio, Cristina, Grassi, Guido, Iaccarino, Guido, Lippa, Luciano, Mallamaci, Francesca, Maloberti, Alessandro, Masi, Stefano, Mazza, Alberto, Mengozzi, Alessandro, Muiesan, Maria Lorenza, Nazzaro, Pietro, Palatini, Paolo, Parati, Gianfranco, Pontremoli, Roberto, Quarti-Trevano, Fosca, Rattazzi, Marcello, Reboldi, Gianpaolo, Rivasi, Giulia, Russo, Elisa, Salvetti, Massimo, Tocci, Giuliano, Ungar, Andrea, Verdecchia, Paolo, Viazzi, Francesca, Volpe, Massimo, Borghi, Claudio, Galletti, Ferruccio, D’Elia, L, Masulli, M, Cirillo, P, Virdis, A, Casiglia, E, Tikhonoff, V, Angeli, F, Barbagallo, C, Bombelli, M, Cappelli, F, Cianci, R, Ciccarelli, M, Cicero, A, Cirillo, M, Dell’Oro, R, Desideri, G, Ferri, C, Gesualdo, L, Giannattasio, C, Grassi, G, Iaccarino, G, Lippa, L, Mallamaci, F, Maloberti, A, Masi, S, Mazza, A, Mengozzi, A, Muiesan, M, Nazzaro, P, Palatini, P, Parati, G, Pontremoli, R, Quarti-Trevano, F, Rattazzi, M, Reboldi, G, Rivasi, G, Russo, E, Salvetti, M, Tocci, G, Ungar, A, Verdecchia, P, Viazzi, F, Volpe, M, Borghi, C, Galletti, F, D’Elia, Lanfranco, Masulli, Maria, Cirillo, Pietro, Virdis, Agostino, Casiglia, Edoardo, Tikhonoff, Valerie, Angeli, Fabio, Barbagallo, Carlo Maria, Bombelli, Michele, Cappelli, Federica, Cianci, Rosario, Ciccarelli, Michele, Cicero, Arrigo F. G., Cirillo, Massimo, Dell’Oro, Raffaella, Desideri, Giovambattista, Ferri, Claudio, Gesualdo, Loreto, Giannattasio, Cristina, Grassi, Guido, Iaccarino, Guido, Lippa, Luciano, Mallamaci, Francesca, Maloberti, Alessandro, Masi, Stefano, Mazza, Alberto, Mengozzi, Alessandro, Muiesan, Maria Lorenza, Nazzaro, Pietro, Palatini, Paolo, Parati, Gianfranco, Pontremoli, Roberto, Quarti-Trevano, Fosca, Rattazzi, Marcello, Reboldi, Gianpaolo, Rivasi, Giulia, Russo, Elisa, Salvetti, Massimo, Tocci, Giuliano, Ungar, Andrea, Verdecchia, Paolo, Viazzi, Francesca, Volpe, Massimo, Borghi, Claudio, and Galletti, Ferruccio

Abstract

Several studies have detected a direct association between serum uric acid (SUA) and cardiovascular (CV) risk. In consideration that SUA largely depends on kidney function, some studies explored the role of the serum creatinine (sCr)-normalized SUA (SUA/sCr) ratio in different settings. Previously, the URRAH (URic acid Right for heArt Health) Study has identified a cut-off value of this index to predict CV mortality at 5.35 Units. Therefore, given that no SUA/sCr ratio threshold for CV risk has been identified for patients with diabetes, we aimed to assess the relationship between this index and CV mortality and to validate this threshold in the URRAH subpopulation with diabetes; the URRAH participants with diabetes were studied (n = 2230). The risk of CV mortality was evaluated by the Kaplan–Meier estimator and Cox multivariate analysis. During a median follow-up of 9.2 years, 380 CV deaths occurred. A non-linear inverse association between baseline SUA/sCr ratio and risk of CV mortality was detected. In the whole sample, SUA/sCr ratio > 5.35 Units was not a significant predictor of CV mortality in diabetic patients. However, after stratification by kidney function, values > 5.35 Units were associated with a significantly higher mortality rate only in normal kidney function, while, in participants with overt kidney dysfunction, values of SUA/sCr ratio > 7.50 Units were associated with higher CV mortality. The SUA/sCr ratio threshold, previously proposed by the URRAH Study Group, is predictive of an increased risk of CV mortality in people with diabetes and preserved kidney function. While, in consideration of the strong association among kidney function, SUA, and CV mortality, a different cut-point was detected for diabetics with impaired kidney function. These data highlight the different predictive roles of SUA (and its interaction with kidney function) in CV risk, pointing out the difference in metabolic- and kidney-dependent SUA levels also in diabetic

Published
2024

12. Hybrid Superconducting Neutron Detectors

Author

Merlo, V., Salvato, M., Cirillo, M., Lucci, M., Ottaviani, I., Scherillo, A., Celentano, G., and Pietropaolo, A.

Subjects
Physics - Instrumentation and Detectors
Abstract

A new neutron detection concept is presented that is based on superconductive niobium (Nb) strips coated by a boron (B) layer. The working principle of the detector relies on the nuclear reaction 10B+n $\rightarrow$ $\alpha$+ 7Li , with $\alpha$ and Li ions generating a hot spot on the current-biased Nb strip which in turn induces a superconducting-normal state transition. The latter is recognized as a voltage signal which is the evidence of the incident neutron. The above described detection principle has been experimentally assessed and verified by irradiating the samples with a pulsed neutron beam at the ISIS spallation neutron source (UK). It is found that the boron coated superconducting strips, kept at a temperature T = 8 K and current-biased below the critical current Ic, are driven into the normal state upon thermal neutron irradiation. As a result of the transition, voltage pulses in excess of 40 mV are measured while the bias current can be properly modulated to bring the strip back to the superconducting state, thus resetting the detector. Measurements on the counting rate of the device are presented and the future perspectives leading to neutron detectors with unprecedented spatial resolutions and efficiency are highlighted., Comment: 8 pages 6 figures

Published
2014
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13. O-02: RADIOMICS AND ARTIFICIAL INTELLIGENCE FOR IDENTIFICATION AND MONITORING OF SILENT CEREBRAL INFARCTS IN SICKLE CELL DISEASE: FIRST ANALYSIS FROM THE GENOMED4ALL EUROPEAN PROJECT

Author

BIONDI R., BOARO M., BIONDINI N., COLLADO GIMBERT A., ESCUDERO FERNANDEZ J., PINTO V., ROMANO N., VOI V., FERRERO G., CASALE M., CIRILLO M., PALAZZI G., CAVALLERI F., FORNI G., REGGIANI G., PERROTTA S., MANU PEREIRA M., ZAZO S., MARIAS K., DE MONTALEMBERT M., BARTOLUCCI P., VANBEERS E., ALVAREZ F., CREMONESI F., SANAVIA T., FARISELLI P., CASTELLANI G., MANARA R., and COLOMBATTI R.

Subjects
Diseases of the blood and blood-forming organs, RC633-647.5
Published
2022
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14. Hyperuricemia and Risk of Cardiovascular Outcomes: The Experience of the URRAH (Uric Acid Right for Heart Health) Project

Author

Maloberti, Alessandro, Giannattasio, C., Bombelli, M., Desideri, G., Cicero, A. F. G., Muiesan, M. L., Rosei, E. A., Salvetti, M., Ungar, A., Rivasi, G., Pontremoli, R., Viazzi, F., Facchetti, R., Ferri, C., Bernardino, B., Galletti, F., D’Elia, L., Palatini, P., Casiglia, E., Tikhonoff, V., Barbagallo, C. M., Verdecchia, P., Masi, S., Mallamaci, F., Cirillo, M., Rattazzi, M., Pauletto, P., Cirillo, P., Gesualdo, L., Mazza, A., Volpe, M., Tocci, G., Iaccarino, G., Nazzaro, P., Lippa, L., Parati, G., Dell’Oro, R., Quarti-Trevano, F., Grassi, G., Virdis, A., and Borghi, C.

Published
2020
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15. Serum uric acid and left ventricular mass index independently predict cardiovascular mortality: The uric acid right for heart health (URRAH) project

Author

Muiesan, M, Agabiti Rosei, C, Paini, A, Casiglia, E, Cirillo, M, Grassi, G, Iaccarino, G, Mallamaci, F, Maloberti, A, Mazza, A, Mengozzi, A, Palatini, P, Parati, G, Reboldi, G, Rivasi, G, Russo, E, Salvetti, M, Tikhonoff, V, Tocci, G, Borghi, C, Angeli, F, Barbagallo, C, Bombelli, M, Cianci, R, Ciccarelli, M, Cicero, A, Cirillo, P, Dell'Oro, R, Medica, C, D'Elia, L, Desideri, G, Ferri, C, Galletti, F, Gesualdo, L, Giannattasio, C, Lippa, L, Masi, S, Masulli, M, Nazzaro, P, Pontremoli, R, Quarti-Trevano, F, Rattazzi, M, Ungar, A, Verdecchia, P, Viazzi, F, Virdis, A, Volpe, M, Muiesan M. L., Agabiti Rosei C., Paini A., Casiglia E., Cirillo M., Grassi G., Iaccarino G., Mallamaci F., Maloberti A., Mazza A., Mengozzi A., Palatini P., Parati G., Reboldi G., Rivasi G., Russo E., Salvetti M., Tikhonoff V., Tocci G., Borghi C., Angeli F., Barbagallo C. M., Bombelli M., Cianci R., Ciccarelli M., Cicero A. F. G., Cirillo P., Dell'Oro R., Medica C., D'Elia L., Desideri G., Ferri C., Galletti F., Gesualdo L., Giannattasio C., Lippa L., Masi S., Masulli M., Nazzaro P., Pontremoli R., Quarti-Trevano F., Rattazzi M., Ungar A., Verdecchia P., Viazzi F., Virdis A., Volpe M., Muiesan, M, Agabiti Rosei, C, Paini, A, Casiglia, E, Cirillo, M, Grassi, G, Iaccarino, G, Mallamaci, F, Maloberti, A, Mazza, A, Mengozzi, A, Palatini, P, Parati, G, Reboldi, G, Rivasi, G, Russo, E, Salvetti, M, Tikhonoff, V, Tocci, G, Borghi, C, Angeli, F, Barbagallo, C, Bombelli, M, Cianci, R, Ciccarelli, M, Cicero, A, Cirillo, P, Dell'Oro, R, Medica, C, D'Elia, L, Desideri, G, Ferri, C, Galletti, F, Gesualdo, L, Giannattasio, C, Lippa, L, Masi, S, Masulli, M, Nazzaro, P, Pontremoli, R, Quarti-Trevano, F, Rattazzi, M, Ungar, A, Verdecchia, P, Viazzi, F, Virdis, A, Volpe, M, Muiesan M. L., Agabiti Rosei C., Paini A., Casiglia E., Cirillo M., Grassi G., Iaccarino G., Mallamaci F., Maloberti A., Mazza A., Mengozzi A., Palatini P., Parati G., Reboldi G., Rivasi G., Russo E., Salvetti M., Tikhonoff V., Tocci G., Borghi C., Angeli F., Barbagallo C. M., Bombelli M., Cianci R., Ciccarelli M., Cicero A. F. G., Cirillo P., Dell'Oro R., Medica C., D'Elia L., Desideri G., Ferri C., Galletti F., Gesualdo L., Giannattasio C., Lippa L., Masi S., Masulli M., Nazzaro P., Pontremoli R., Quarti-Trevano F., Rattazzi M., Ungar A., Verdecchia P., Viazzi F., Virdis A., and Volpe M.

Abstract

Unlabelled: A relationship between serum uric acid (SUA) and cardiovascular (CV) events has been documented in the Uric Acid Right for Heart Health (URRAH) study. Aim: of this study was to investigate the association between SUA and left ventricular mass index (LVMI) and whether SUA and LVMI or their combination may predict the incidence of CV death. Methods: Subjects with echocardiographic measurement of LVMI included in the URRAH study (n=10733) were part of this analysis. LV hypertrophy (LVH) was defined as LVMI > 95 g/m2 in women and 115 g/m2 in men. Results: A significant association between SUA and LVMI was observed in multiple regression analysis in men: beta 0,095, F 5.47, P< 0.001 and women: beta 0,069, F 4.36, P<0.001. During follow-up 319 CV deaths occurred. Kaplan-Meier curves showed a significantly poorer survival rate in subjects with higher SUA (> 5.6 mg/dl in men and 5.1 mg/dl in women) and LVH (log-rank chi-square 298.105; P<0.0001). At multivariate Cox regression analysis in women LVH alone and the combination of higher SUA and LVH but not hyperuricemia alone, were associated with a higher risk of CV death, while in men hyperuricemia without LVH, LVH without hyperuricemia and their combination were all associated with a higher incidence of CV death. Conclusions: Our findings demonstrate that SUA is independently associated with LVMI and suggest that the combination of hyperuricemia with LVH is an independent and powerful predictor for CV death both in men and women.

Published
2023

16. Iron and Ferroptosis More than a Suspect: Beyond the Most Common Mechanisms of Neurodegeneration for New Therapeutic Approaches to Cognitive Decline and Dementia

Author

Cerasuolo, M, Di Meo, I, Auriemma, M, Trojsi, F, Maiorino, M, Cirillo, M, Esposito, F, Polito, R, Colangelo, A, Paolisso, G, Papa, M, Rizzo, M, Cerasuolo M., Di Meo I., Auriemma M. C., Trojsi F., Maiorino M. I., Cirillo M., Esposito F., Polito R., Colangelo A. M., Paolisso G., Papa M., Rizzo M. R., Cerasuolo, M, Di Meo, I, Auriemma, M, Trojsi, F, Maiorino, M, Cirillo, M, Esposito, F, Polito, R, Colangelo, A, Paolisso, G, Papa, M, Rizzo, M, Cerasuolo M., Di Meo I., Auriemma M. C., Trojsi F., Maiorino M. I., Cirillo M., Esposito F., Polito R., Colangelo A. M., Paolisso G., Papa M., and Rizzo M. R.

Abstract

Neurodegeneration is a multifactorial process that involves multiple mechanisms. Examples of neurodegenerative diseases are Parkinson’s disease, multiple sclerosis, Alzheimer’s disease, prion diseases such as Creutzfeldt–Jakob’s disease, and amyotrophic lateral sclerosis. These are progressive and irreversible pathologies, characterized by neuron vulnerability, loss of structure or function of neurons, and even neuron demise in the brain, leading to clinical, functional, and cognitive dysfunction and movement disorders. However, iron overload can cause neurodegeneration. Dysregulation of iron metabolism associated with cellular damage and oxidative stress is reported as a common event in several neurodegenerative diseases. Uncontrolled oxidation of membrane fatty acids triggers a programmed cell death involving iron, ROS, and ferroptosis, promoting cell death. In Alzheimer’s disease, the iron content in the brain is significantly increased in vulnerable regions, resulting in a lack of antioxidant defenses and mitochondrial alterations. Iron interacts with glucose metabolism reciprocally. Overall, iron metabolism and accumulation and ferroptosis play a significant role, particularly in the context of diabetes-induced cognitive decline. Iron chelators improve cognitive performance, meaning that brain iron metabolism control reduces neuronal ferroptosis, promising a novel therapeutic approach to cognitive impairment.

Published
2023

17. Weak Localization and Dimensional Crossover in Carbon Nanotube Systems

Author

Salvato, M., Lucci, M., Ottaviani, I., Cirillo, M., Orlanducci, S., Toschi, F., and Terranova, M. L.

Subjects
Condensed Matter - Mesoscale and Nanoscale Physics
Abstract

We investigate the effects of magnetic and electric fields on electron wavefunction interactions in single walled carbon nanotube bundles. The magnetoresistance measurements performed at 4.2K and the dependence of the data upon the electric field, obtained by varying the bias current through the samples, reveal good agreement with weak localization theory. Recording current-voltage characteristics at different temperatures we find an ohmic non-ohmic transition which disappears above 85K. Conductance vs temperature measurements are also well explained in the framework of weak localization theory by the predicted temperature dependence of the electric field-conditioned characteristic length. This length results equal to the average bundles diameter just at T{\backcong}85K, indicating that the observed conductance transition is due to a 2D-3D crossover.

Published
2010

18. Macroscopic effects of tunneling barriers in nanotube bundles aggregates

Author

Salvato, M., Cirillo, M., Lucci, M., Orlanducci, S., Ottaviani, I., Terranova, M. L., and Toschi, F.

Subjects
Condensed Matter - Mesoscale and Nanoscale Physics, Condensed Matter - Materials Science
Abstract

We report on experiments conducted on single walled carbon nanotube bundles aligned in chains and connected through a natural contact barrier. The dependence upon the temperature of the transport properties is investigated for samples having different characteristics. Starting from two bundles separated by one barrier deposited over four contact probes, we extend the study of the transport properties to samples formed by chains of several bundles. The systematic analysis of the properties of these aggregates shows the existence of two conduction regimes in the barrier. We show that an electrical circuit taking into account serial and parallel combinations of voltages generated at the junctions between bundles models the samples consistently., Comment: 9 pages and 3 figures

Published
2009

19. Improvement of the GFI and AGFI indexes in structural equation models by the covariance between repetitions in the observed variables.

Author

Resende, M. and Cirillo, M. A.

Abstract

AbstractAlthough there are methods that relate a set of repeated observed variables to the fit of structural equation models, there are some deficiencies in the quality-of-fit indexes proposed in the literature, as they do not include characteristics of data with repeated observed variables. Thus, this study aims to propose an improvement in the GFI and AGFI indexes by incorporating a correction that considers repetitions in the observed variables. Several designs are considered to validate this proposal as a function of the criteria that determine the quality of fit, as well as the presence of outliers. In this context, the improvement is given to the indexes built in the least square and likelihood approaches, and their advantages and disadvantages are compared with conventional indexes using the Monte Carlo simulation. The improvement of the GFI and AGFI indexes to incorporate the effect of repetitions of the observed variables was promising, as it presented robustness properties relative to the presence of outliers and showed diagnostic evidence of a model with good and poor fit. It is recommended to use up to four repetitions to avoid numerical problems when computing the index estimates. [ABSTRACT FROM AUTHOR]

Published
2024
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20. Coherent Activation of Zero-Field Fiske Modes in Arrays of Josephson Junctions

Author

Ottaviani, I., Cirillo, M., Lucci, M., Merlo, V., Salvato, M., Castellano, M. G., Torrioli, G., Mueller, F., and Weimann, T.

Subjects
Condensed Matter - Superconductivity
Abstract

Series arrays of Josephson junctions show evidence of a mode in which all the junctions oscillate in synchronism on voltage resonances appearing, in zero external magnetic field, at multiples of the fundamental Fiske step spacing. The measurements show that the current amplitude of the resonances increases linearly as their voltages are summed. Investigation of the nature of the coherent mode by magnetic field responses of arrays and isolated juctions reveals that the oscillations take place in a parameter plane region where dc magnetic fields only activate boundary current and flux-quanta dynamics can take place., Comment: 12 pages and 4 figures

Published
2008

21. Charge-transport and tunneling in single-walled carbon nanotubes

Author

Salvato, M., Cirillo, M., Lucci, M., Orlanducci, S., Ottaviani, I., Terranova, M. L., and Toschi, F.

Subjects
Condensed Matter - Materials Science
Abstract

We investigate experimentally the transport properties of single-walled carbon nanotube bundles as a function of temperature and applied current over broad intervals of these variables. The analysis is performed on arrays of nanotube bundles whose axes are aligned along the direction of the externally supplied bias current. The data are found consistent with a charge transport model governed by the tunnelling between metallic regions occurring through potential barriers generated by nanotubes contact areas or bundles surfaces. Based on this model and on experimental data we describe quantitatively the dependencies of the amplitude of these barriers upon bias current and temperature., Comment: 8 pages, 4 figures. Physical Review Letters (in press)

Published
2008
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22. Integrating Superconductive and Optical Circuits

Author

Stella, F., Casalboni, M., Cirillo, M., Merlo, V., Palazzesi, C., Pepe, G. P., Prosposito, P., and Salvato, M.

Subjects
Condensed Matter - Superconductivity, Condensed Matter - Materials Science
Abstract

We have integrated on oxidized silicon wafers superconductive films and Josephson junctions along with sol-gel optical channel waveguides. The fabrication process is carried out in two steps that result to be solid and non-invasive. It is demonstrated that 660 nm light, coupled from an optical fibre into the channel sol-gel waveguide, can be directed toward superconducting tunnel junctions whose current-voltage characteristics are affected by the presence of the radiation. The dependence of the change in the superconducting energy gap under optical pumping is discussed in terms of a non-equilibrium superconductivity model., Comment: Document composed of 7 pages of text and 3 figures

Published
2007
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23. Catastrophe observation in a Josephson junction system

Author

Castellano, M. G., Chiarello, F., Leoni, R., Mattioli, F., Torrioli, G., Carelli, P., Cirillo, M., Cosmelli, C., de Waard, A., Frossati, G., Grønbech-Jensen, N., and Poletto, S.

Subjects
Condensed Matter - Superconductivity, Condensed Matter - Other Condensed Matter
Abstract

We report on a direct quantitative comparison between Thom's general catastrophe theory for systems presenting discontinuous behavior and experimental reality. It is demonstrated that the model provides a striking quantitative description of the measured experimental features of the complex nonlinear system generating the most appealing class of sensors and devices nowadays used in experiments, namely the Superconducting Quantum Interference Devices (SQUIDs). The parameter space of the SQUID system that we investigate displays all the features associated with a butterfly catastrophe, namely a catastrophe expected for a system having four control parameters and one state variable., Comment: 13 figures in A4 pdf format including three figures. Article submitted for publication

Published
2006
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25. Topology-Induced Critical Current Enhancement in Josephson Networks

Author

Silvestrini, P., Russo, R., Corato, V., Ruggiero, B., Granata, C., Rombetto, S., Russo, M., Cirillo, M., Trombettoni, A., and Sodano, P.

Subjects
Condensed Matter - Superconductivity, Condensed Matter - Statistical Mechanics
Abstract

We investigate the properties of Josephson junction networks with inhomogeneous architecture. The networks are shaped as "quare comb" planar lattices on which Josephson junctions link superconducting islands arranged in the plane to generate the pertinent topology. Compared to the behavior of reference linear arrays, the temperature dependencies of the Josephson currents of the branches of the network exhibit relevant differences. The observed phenomena evidence new and surprising behavior of superconducting Josephson arrays as well as remarkable similarities with bosonic junction arrays., Comment: improved figures (added magnetic pattern and single junction switching) some changes in the text and in the title

Published
2005

27. Anomalous thermal escape in Josephson systems perturbed by microwaves

Author

Grønbech-Jensen, N., Castellano, M. G., Chiarello, F., Cirillo, M., Cosmelli, C., Merlo, V., Russo, R., and Torrioli, G.

Subjects
Condensed Matter - Statistical Mechanics, Condensed Matter - Superconductivity
Abstract

We investigate, by experiments and numerical simulations, thermal activation processes of Josephson tunnel junctions in the presence of microwave radiation. When the applied signal resonates with the Josephson plasma frequency oscillations, the switching current may become multi-valued temperature ranges both below and above the the classical to quantum crossover temperature. Switching current distributions are obtained both experimentally and numerically at temperatures both near and far above the quantum crossover temperature. Plots of the switching currents traced as a function of the applied signal frequency show very good agreement with a simple anharmonic theory for Josephson resonance frequency as a function of bias current. Throughout, experimental results and direct numerical simulations of the corresponding thermally driven classical Josephson junction model show very good agreement., Comment: 10 pages -- to be published in proceedings from "Macroscopic Quantum Coherence and Computing", June 7-10, 2004, Naples, Italy

Published
2004

28. Microwave-induced thermal escape in Josephson junctions

Author

Gronbech-Jensen, N., Castellano, M. G., Chiarello, F., Torrioli, G., Cirillo, M., Filippenko, L., Russo, R., and Cosmelli, C.

Subjects
Condensed Matter - Superconductivity, Condensed Matter - Statistical Mechanics
Abstract

We investigate, by experiments and numerical simulations, thermal activation processes of Josephson tunnel junctions in the presence of microwave radiation. When the applied signal resonates with the Josephson plasma frequency oscillations, the switching current may become multi-valued in a temperature range far exceeding the classical to quantum crossover temperature. Plots of the switching currents traced as a function of the applied signal frequency show very good agreement with the functional forms expected from Josephson plasma frequency dependencies on the bias current. Throughout, numerical simulations of the corresponding thermally driven classical Josephson junction model show very good agreement with the experimental data., Comment: 10 pages and 4 figures

Published
2004
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29. Experimental realization of a relativistic fluxon ratchet

Author

Carapella, G., Costabile, G., Latempa, R., Martucciello, N., Cirillo, M., Polcari, A., and Filatrella, G.

Subjects
Condensed Matter - Superconductivity
Abstract

We report the observation of the ratchet effect for a relativistic flux quantum trapped in an annular Josephson junction embedded in an inhomogeneous magnetic field. In such a solid state system mechanical quantities are proportional to electrical quantities, so that the ratchet effect represents the realization of a relativistic-flux-quantum-based diode. Mean static voltage response, equivalent to directed fluxon motion, is experimentally demonstrated in such a diode for deterministic current forcing both in the overdamped and in the underdamped dynamical regime. In the underdamped regime, the recently predicted phenomenon of current reversal is also recovered in our fluxon ratchet., Comment: 4 pages, 6 figures. To appear in PHYSICA C

Published
2001
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30. Resting-state functional MRI in multicenter studies on multiple sclerosis: a report on raw data quality and functional connectivity features from the Italian Neuroimaging Network Initiative

Author

De Rosa, A. P., Esposito, F., Valsasina, P., D’Ambrosio, A., Bisecco, A., Rocca, M. A., Tommasin, S., Marzi, C., De Stefano, N., Battaglini, M., Pantano, P., Cirillo, M., Tedeschi, G., Filippi, M., Gallo, A., the INNI Network, Altieri, M., Borgo, R., Capuano, R., Storelli, L., Pagani, E., Sibilia, M., Piervincenzi, C., Ruggieri, S., Petsas, N., Cortese, R., Stromillo, M. L., De Rosa, Alessandro Pasquale, Esposito, Fabrizio, Valsasina, Paola, D'Ambrosio, Alessandro, Bisecco, Alvino, Rocca, Maria A, Tommasin, Silvia, Marzi, Chiara, De Stefano, Nicola, Battaglini, Marco, Pantano, Patrizia, Cirillo, Mario, Tedeschi, Gioacchino, Filippi, Massimo, and Gallo, Antonio

Subjects
Multiple sclerosis, Functional connectivity, Neurology, Functional magnetic resonance imaging, Quality control, Multiple sclerosi, MS, Neurology (clinical), MRI
Abstract

The Italian Neuroimaging Network Initiative (INNI) is an expanding repository of brain MRI data from multiple sclerosis (MS) patients recruited at four Italian MRI research sites. We describe the raw data quality of resting-state functional MRI (RS-fMRI) time-series in INNI and the inter-site variability in functional connectivity (FC) features after unified automated data preprocessing. MRI datasets from 489 MS patients and 246 healthy control (HC) subjects were retrieved from the INNI database. Raw data quality metrics included temporal signal-to-noise ratio (tSNR), spatial smoothness (FWHM), framewise displacement (FD), and differential variation in signals (DVARS). Automated preprocessing integrated white-matter lesion segmentation (SAMSEG) into a standard fMRI pipeline (fMRIPrep). FC features were calculated on pre-processed data and harmonized between sites (Combat) prior to assessing general MS-related alterations. Across centers (both groups), median tSNR and FWHM ranged from 47 to 84 and from 2.0 to 2.5, and median FD and DVARS ranged from 0.08 to 0.24 and from 1.06 to 1.22. After preprocessing, only global FC-related features were significantly correlated with FD or DVARS. Across large-scale networks, age/sex/FD-adjusted and harmonized FC features exhibited both inter-site and site-specific inter-group effects. Significant general reductions were obtained for somatomotor and limbic networks in MS patients (vs. HC). The implemented procedures provide technical information on raw data quality and outcome of fully automated preprocessing that might serve as reference in future RS-fMRI studies within INNI. The unified pipeline introduced little bias across sites and appears suitable for multisite FC analyses on harmonized network estimates.

Published
2022
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31. Iron and Ferroptosis More than a Suspect: Beyond the Most Common Mechanisms of Neurodegeneration for New Therapeutic Approaches to Cognitive Decline and Dementia

Author

Cerasuolo M., Di Meo I., Auriemma M. C., Trojsi F., Maiorino M. I., Cirillo M., Esposito F., Polito R., Colangelo A. M., Paolisso G., Papa M., Rizzo M. R., Cerasuolo, M, Di Meo, I, Auriemma, M, Trojsi, F, Maiorino, M, Cirillo, M, Esposito, F, Polito, R, Colangelo, A, Paolisso, G, Papa, M, and Rizzo, M

Subjects
iron, T2DM, blood–brain barrier, cognitive decline, reactive oxygen species (ROS), Alzheimer’s disease, chelator, ferroptosi
Abstract

Neurodegeneration is a multifactorial process that involves multiple mechanisms. Examples of neurodegenerative diseases are Parkinson’s disease, multiple sclerosis, Alzheimer’s disease, prion diseases such as Creutzfeldt–Jakob’s disease, and amyotrophic lateral sclerosis. These are progressive and irreversible pathologies, characterized by neuron vulnerability, loss of structure or function of neurons, and even neuron demise in the brain, leading to clinical, functional, and cognitive dysfunction and movement disorders. However, iron overload can cause neurodegeneration. Dysregulation of iron metabolism associated with cellular damage and oxidative stress is reported as a common event in several neurodegenerative diseases. Uncontrolled oxidation of membrane fatty acids triggers a programmed cell death involving iron, ROS, and ferroptosis, promoting cell death. In Alzheimer’s disease, the iron content in the brain is significantly increased in vulnerable regions, resulting in a lack of antioxidant defenses and mitochondrial alterations. Iron interacts with glucose metabolism reciprocally. Overall, iron metabolism and accumulation and ferroptosis play a significant role, particularly in the context of diabetes-induced cognitive decline. Iron chelators improve cognitive performance, meaning that brain iron metabolism control reduces neuronal ferroptosis, promising a novel therapeutic approach to cognitive impairment.

Published
2023

32. Identification of a plausible serum uric acid cut-off value as prognostic marker of stroke: the Uric Acid Right for Heart Health (URRAH) study

Author

Tikhonoff, V, Casiglia, E, Spinella, P, Barbagallo, C, Bombelli, M, Cicero, A, Cirillo, M, Cirillo, P, Desideri, G, D'Elia, L, Ferri, C, Galletti, F, Gesualdo, L, Giannattasio, C, Iaccarino, G, Mallamaci, F, Maloberti, A, Masi, S, Mazza, A, Muiesan, M, Nazzaro, P, Palatini, P, Parati, G, Pontremoli, R, Quarti-Trevano, F, Rattazzi, M, Rivasi, G, Salvetti, M, Tocci, G, Ungar, A, Verdecchia, P, Viazzi, F, Virdis, A, Volpe, M, Grassi, G, Borghi, C, Tikhonoff V., Casiglia E., Spinella P., Barbagallo C. M., Bombelli M., Cicero A. F. G., Cirillo M., Cirillo P., Desideri G., D'elia L., Ferri C., Galletti F., Gesualdo L., Giannattasio C., Iaccarino G., Mallamaci F., Maloberti A., Masi S., Mazza A., Muiesan M. L., Nazzaro P., Palatini P., Parati G., Pontremoli R., Quarti-Trevano F., Rattazzi M., Rivasi G., Salvetti M., Tocci G., Ungar A., Verdecchia P., Viazzi F., Virdis A., Volpe M., Grassi G., Borghi C., Tikhonoff, V, Casiglia, E, Spinella, P, Barbagallo, C, Bombelli, M, Cicero, A, Cirillo, M, Cirillo, P, Desideri, G, D'Elia, L, Ferri, C, Galletti, F, Gesualdo, L, Giannattasio, C, Iaccarino, G, Mallamaci, F, Maloberti, A, Masi, S, Mazza, A, Muiesan, M, Nazzaro, P, Palatini, P, Parati, G, Pontremoli, R, Quarti-Trevano, F, Rattazzi, M, Rivasi, G, Salvetti, M, Tocci, G, Ungar, A, Verdecchia, P, Viazzi, F, Virdis, A, Volpe, M, Grassi, G, Borghi, C, Tikhonoff V., Casiglia E., Spinella P., Barbagallo C. M., Bombelli M., Cicero A. F. G., Cirillo M., Cirillo P., Desideri G., D'elia L., Ferri C., Galletti F., Gesualdo L., Giannattasio C., Iaccarino G., Mallamaci F., Maloberti A., Masi S., Mazza A., Muiesan M. L., Nazzaro P., Palatini P., Parati G., Pontremoli R., Quarti-Trevano F., Rattazzi M., Rivasi G., Salvetti M., Tocci G., Ungar A., Verdecchia P., Viazzi F., Virdis A., Volpe M., Grassi G., and Borghi C.

Abstract

The Working Group on Uric Acid and Cardiovascular Risk of the Italian Society of Hypertension conceived and designed an ad hoc study aimed at searching for prognostic cut-off values of serum uric acid (SUA) in predicting combined (fatal and non-fatal) cerebrovascular (CBV) events in the whole database. The URic acid Right for heArt Health study is a nationwide, multicenter, observational cohort study involving data on subjects aged 18–95 years recruited on a regional community basis from all the territory of Italy under the patronage of the Italian Society of Hypertension with a mean follow-up period of 120.7 ± 61.8 months. A total of 14,588 subjects were included in the analysis. A prognostic cut-off value of SUA able to discriminate combined CBV events (>4.79 mg/dL or >284.91 µmol/L) was identified by means of receiver operating characteristic curve in the whole database. Multivariate Cox regression analysis adjusted for confounders (age, sex, arterial hypertension, diabetes, chronic kidney disease, smoking habit, ethanol intake, body mass index, low-density lipoprotein cholesterol, and use of diuretics) identified an independent association between SUA and combined CBV events in the whole database (HR 1.249, 95% confidence interval, 1.041–1.497, p = 0.016). The results of the present study confirm that SUA is an independent risk marker for CBV events after adjusting for potential confounding variables, including arterial hypertension, and demonstrate that >4.79 mg/dL is a valid prognostic cut-off value.

Published
2022

33. Assessing performance of the Healthcare Access and Quality Index, overall and by select age groups, for 204 countries and territories, 1990–2019: a systematic analysis from the Global Burden of Disease Study 2019

Author

Haakenstad, A, Yearwood, J, Fullman, N, Bintz, C, Bienhoff, K, Weaver, M, Nandakumar, V, Joffe, J, Legrand, K, Knight, M, Abbafati, C, Abbasi-Kangevari, M, Abdoli, A, Abeldano Zuniga, R, Adedeji, I, Adekanmbi, V, Adetokunboh, O, Afzal, M, Afzal, S, Agudelo-Botero, M, Ahinkorah, B, Ahmad, S, Ahmadi, A, Ahmadi, S, Ahmed, A, Ahmed Rashid, T, Aji, B, Akande-Sholabi, W, Alam, K, Al Hamad, H, Alhassan, R, Ali, L, Alipour, V, Aljunid, S, Ameyaw, E, Amin, T, Amu, H, Amugsi, D, Ancuceanu, R, Andrade, P, Anjum, A, Arabloo, J, Arab-Zozani, M, Ariffin, H, Arulappan, J, Aryan, Z, Ashraf, T, Atnafu, D, Atreya, A, Ausloos, M, Avila-Burgos, L, Ayano, G, Ayanore, M, Azari, S, Badiye, A, Baig, A, Bairwa, M, Bakkannavar, S, Baliga, S, Banik, P, Barnighausen, T, Barra, F, Barrow, A, Basu, S, Bayati, M, Belete, R, Bell, A, Bhagat, D, Bhagavathula, A, Bhardwaj, P, Bhardwaj, N, Bhaskar, S, Bhattacharyya, K, Bhutta, Z, Bibi, S, Bijani, A, Bikbov, B, Biondi, A, Bolarinwa, O, Bonny, A, Brenner, H, Buonsenso, D, Burkart, K, Busse, R, Butt, Z, Butt, N, Caetano dos Santos, F, Cahuana-Hurtado, L, Camera, L, Cardenas, R, Carneiro, V, Catala-Lopez, F, Chandan, J, Charan, J, Chavan, P, Chen, S, Choudhari, S, Chowdhury, E, Chowdhury, M, Cirillo, M, Corso, B, Dadras, O, Dahlawi, S, Dai, X, Dandona, L, Dandona, R, Dangel, W, Davila-Cervantes, C, Davletov, K, Deuba, K, Dhimal, M, Djalalinia, S, Do, H, Doshmangir, L, Duncan, B, Effiong, A, Ehsani-Chimeh, E, Elgendy, I, Elhadi, M, El Sayed, I, El Tantawi, M, Erku, D, Eskandarieh, S, Fares, J, Farzadfar, F, Ferrero, S, Ferro Desideri, L, Fischer, F, Foigt, N, Foroutan, M, Fukumoto, T, Gaal, P, Gaihre, S, Gardner, W, Garg, T, Getachew Obsa, A, Ghafourifard, M, Ghashghaee, A, Ghith, N, Gilani, S, Gill, P, Goharinezhad, S, Golechha, M, Guadamuz, J, Guo, Y, Gupta, R, Gupta, V, Hamiduzzaman, M, Hanif, A, Haro, J, Hasaballah, A, Hasan, M, Hashi, A, Hay, S, Hayat, K, Heidari, M, Heidari, G, Henry, N, Herteliu, C, Holla, R, Hossain, S, Hossain, M, Hosseinzadeh, M, Hostiuc, S, Hoveidamanesh, S, Hsieh, V, Hu, G, Huang, J, Huda, M, Ifeagwu, S, Ikuta, K, Ilesanmi, O, Irvani, S, Islam, R, Islam, S, Ismail, N, Iso, H, Isola, G, Itumalla, R, Iwagami, M, Jahani, M, Jahanmehr, N, Jain, R, Jakovljevic, M, Janodia, M, Jayapal, S, Jayaram, S, Jha, R, Jonas, J, Joo, T, Joseph, N, Jurisson, M, Kabir, A, Kalankesh, L, Kalhor, R, Kamath, A, Kamenov, K, Kandel, H, Kantar, R, Kapoor, N, Karanikolos, M, Katikireddi, S, Kavetskyy, T, Kawakami, N, Kayode, G, Keikavoosi-Arani, L, Keykhaei, M, Khader, Y, Khajuria, H, Khalilov, R, Khammarnia, M, Khan, M, Khezeli, M, Kim, M, Kim, Y, Kisa, S, Kisa, A, Klymchuk, V, Koly, K, Korzh, O, Kosen, S, Koul, P, Kuate Defo, B, Kumar, G, Kusuma, D, Kyu, H, Larsson, A, Lasrado, S, Lee, W, Lee, Y, Lee, C, Li, S, Lucchetti, G, Mahajan, P, Majeed, A, Makki, A, Malekzadeh, R, Malik, A, Malta, D, Mansournia, M, Mantovani, L, Martinez-Valle, A, Martins-Melo, F, Masoumi, S, Mathur, M, Maude, R, Maulik, P, Mckee, M, Mendoza, W, Menezes, R, Mensah, G, Meretoja, A, Meretoja, T, Mestrovic, T, Michalek, I, Mirrakhimov, E, Misganaw, A, Misra, S, Moazen, B, Mohammadi, M, Mohammed, S, Moitra, M, Mokdad, A, Molokhia, M, Monasta, L, Moni, M, Moradi, G, Moreira, R, Mosser, J, Mostafavi, E, Mouodi, S, Nagarajan, A, Nagata, C, Naghavi, M, Nangia, V, Narasimha Swamy, S, Narayana, A, Nascimento, B, Nassereldine, H, Nayak, B, Nazari, J, Negoi, I, Nepal, S, Neupane Kandel, S, Ngunjiri, J, Nguyen, H, Nguyen, C, Ningrum, D, Noubiap, J, Oancea, B, Oghenetega, O, Oh, I, Olagunju, A, Olakunde, B, Omar Bali, A, Omer, E, Onwujekwe, O, Otoiu, A, Padubidri, J, Palladino, R, Pana, A, Panda-Jonas, S, Pandi-Perumal, S, Pardhan, S, Pasupula, D, Pathak, P, Patton, G, Pawar, S, Pereira, J, Pilania, M, Piroozi, B, Podder, V, Pokhrel, K, Postma, M, Prada, S, Quazi Syed, Z, Rabiee, N, Radhakrishnan, R, Rahman, M, Rahmani, A, Ranabhat, C, Rao, C, Rao, S, Rasella, D, Rawaf, S, Rawaf, D, Rawal, L, Renzaho, A, Reshmi, B, Resnikoff, S, Rezapour, A, Riahi, S, Ripon, R, Sacco, S, Sadeghi, M, Saeed, U, Sahebkar, A, Sahiledengle, B, Sahoo, H, Sahu, M, Salama, J, Salamati, P, Samy, A, Sanabria, J, Santric-Milicevic, M, Sathian, B, Sawhney, M, Schmidt, M, Seidu, A, Sepanlou, S, Seylani, A, Shaikh, M, Sheikh, A, Shetty, A, Shigematsu, M, Shiri, R, Shivakumar, K, Shokri, A, Singh, J, Sinha, D, Skryabin, V, Skryabina, A, Sofi-Mahmudi, A, Sousa, R, Stephens, J, Sun, J, Szocska, M, Tabares-Seisdedos, R, Tadbiri, H, Tamiru, A, Thankappan, K, Topor-Madry, R, Tovani-Palone, M, Tran, M, Tran, B, Tripathi, N, Tripathy, J, Troeger, C, Uezono, D, Ullah, S, Ullah, A, Unnikrishnan, B, Vacante, M, Valadan Tahbaz, S, Valdez, P, Vasic, M, Veroux, M, Vervoort, D, Violante, F, Vladimirov, S, Vlassov, V, Vo, B, Waheed, Y, Wamai, R, Wang, Y, Ward, P, Wiangkham, T, Yadav, L, Yahyazadeh Jabbari, S, Yamagishi, K, Yaya, S, Yazdi-Feyzabadi, V, Yi, S, Yigit, V, Yonemoto, N, Younis, M, Yu, C, Yunusa, I, Zaman, S, Zastrozhin, M, Zhang, Z, Zhong, C, Zuniga, Y, Lim, S, Murray, C, Lozano, R, Haakenstad A., Yearwood J. A., Fullman N., Bintz C., Bienhoff K., Weaver M. R., Nandakumar V., Joffe J. N., LeGrand K. E., Knight M., Abbafati C., Abbasi-Kangevari M., Abdoli A., Abeldano Zuniga R. A., Adedeji I. A., Adekanmbi V., Adetokunboh O. O., Afzal M. S., Afzal S., Agudelo-Botero M., Ahinkorah B. O., Ahmad S., Ahmadi A., Ahmadi S., Ahmed A., Ahmed Rashid T., Aji B., Akande-Sholabi W., Alam K., Al Hamad H., Alhassan R. K., Ali L., Alipour V., Aljunid S. M., Ameyaw E. K., Amin T. T., Amu H., Amugsi D. A., Ancuceanu R., Andrade P. P., Anjum A., Arabloo J., Arab-Zozani M., Ariffin H., Arulappan J., Aryan Z., Ashraf T., Atnafu D. D., Atreya A., Ausloos M., Avila-Burgos L., Ayano G., Ayanore M. A., Azari S., Badiye A. D., Baig A. A., Bairwa M., Bakkannavar S. M., Baliga S., Banik P. C., Barnighausen T. W., Barra F., Barrow A., Basu S., Bayati M., Belete R., Bell A. W., Bhagat D. S., Bhagavathula A. S., Bhardwaj P., Bhardwaj N., Bhaskar S., Bhattacharyya K., Bhutta Z. A., Bibi S., Bijani A., Bikbov B., Biondi A., Bolarinwa O. A., Bonny A., Brenner H., Buonsenso D., Burkart K., Busse R., Butt Z. A., Butt N. S., Caetano dos Santos F. L., Cahuana-Hurtado L., Camera L. A., Cardenas R., Carneiro V. L. A., Catala-Lopez F., Chandan J. S., Charan J., Chavan P. P., Chen S., Choudhari S. G., Chowdhury E. K., Chowdhury M. A. K., Cirillo M., Corso B., Dadras O., Dahlawi S. M. A., Dai X., Dandona L., Dandona R., Dangel W. J., Davila-Cervantes C. A., Davletov K., Deuba K., Dhimal M., Dhimal M. L., Djalalinia S., Do H. P., Doshmangir L., Duncan B. B., Effiong A., Ehsani-Chimeh E., Elgendy I. Y., Elhadi M., El Sayed I., El Tantawi M., Erku D. A., Eskandarieh S., Fares J., Farzadfar F., Ferrero S., Ferro Desideri L., Fischer F., Foigt N. A., Foroutan M., Fukumoto T., Gaal P. A., Gaihre S., Gardner W. M., Garg T., Getachew Obsa A., Ghafourifard M., Ghashghaee A., Ghith N., Gilani S. A., Gill P. S., Goharinezhad S., Golechha M., Guadamuz J. S., Guo Y., Gupta R. D., Gupta R., Gupta V. K., Gupta V. B., Hamiduzzaman M., Hanif A., Haro J. M., Hasaballah A. I., Hasan M. M., Hasan M. T., Hashi A., Hay S. I., Hayat K., Heidari M., Heidari G., Henry N. J., Herteliu C., Holla R., Hossain S., Hossain S. J., Hossain M. B. H., Hosseinzadeh M., Hostiuc S., Hoveidamanesh S., Hsieh V. C. -R., Hu G., Huang J., Huda M. M., Ifeagwu S. C., Ikuta K. S., Ilesanmi O. S., Irvani S. S. N., Islam R. M., Islam S. M. S., Ismail N. E., Iso H., Isola G., Itumalla R., Iwagami M., Jahani M. A., Jahanmehr N., Jain R., Jakovljevic M., Janodia M. D., Jayapal S. K., Jayaram S., Jha R. P., Jonas J. B., Joo T., Joseph N., Jurisson M., Kabir A., Kalankesh L. R., Kalhor R., Kamath A. M., Kamenov K., Kandel H., Kantar R. S., Kapoor N., Karanikolos M., Katikireddi S. V., Kavetskyy T., Kawakami N., Kayode G. A., Keikavoosi-Arani L., Keykhaei M., Khader Y. S., Khajuria H., Khalilov R., Khammarnia M., Khan M. N., Khan M. A., Khan M., Khezeli M., Kim M. S., Kim Y. J., Kisa S., Kisa A., Klymchuk V., Koly K. N., Korzh O., Kosen S., Koul P. A., Kuate Defo B., Kumar G. A., Kusuma D., Kyu H. H., Larsson A. O., Lasrado S., Lee W. -C., Lee Y. H., Lee C. B., Li S., Lucchetti G., Mahajan P. B., Majeed A., Makki A., Malekzadeh R., Malik A. A., Malta D. C., Mansournia M. A., Mantovani L. G., Martinez-Valle A., Martins-Melo F. R., Masoumi S. Z., Mathur M. R., Maude R. J., Maulik P. K., McKee M., Mendoza W., Menezes R. G., Mensah G. A., Meretoja A., Meretoja T. J., Mestrovic T., Michalek I. M., Mirrakhimov E. M., Misganaw A., Misra S., Moazen B., Mohammadi M., Mohammed S., Moitra M., Mokdad A. H., Molokhia M., Monasta L., Moni M. A., Moradi G., Moreira R. S., Mosser J. F., Mostafavi E., Mouodi S., Nagarajan A. J., Nagata C., Naghavi M., Nangia V., Narasimha Swamy S., Narayana A. I., Nascimento B. R., Nassereldine H., Nayak B. P., Nazari J., Negoi I., Nepal S., Neupane Kandel S., Ngunjiri J. W., Nguyen H. L. T., Nguyen C. T., Ningrum D. N. A., Noubiap J. J., Oancea B., Oghenetega O. B., Oh I. -H., Olagunju A. T., Olakunde B. O., Omar Bali A., Omer E., Onwujekwe O. E., Otoiu A., Padubidri J. R., Palladino R., Pana A., Panda-Jonas S., Pandi-Perumal S. R., Pardhan S., Pasupula D. K., Pathak P. K., Patton G. C., Pawar S., Pereira J., Pilania M., Piroozi B., Podder V., Pokhrel K. N., Postma M. J., Prada S. I., Quazi Syed Z., Rabiee N., Radhakrishnan R. A., Rahman M. M., Rahman M., Rahman M. H. U., Rahmani A. M., Ranabhat C. L., Rao C. R., Rao S. J., Rasella D., Rawaf S., Rawaf D. L., Rawal L., Renzaho A. M. N., Reshmi B., Resnikoff S., Rezapour A., Riahi S. M., Ripon R. K., Sacco S., Sadeghi M., Saeed U., Sahebkar A., Sahiledengle B., Sahoo H., Sahu M., Salama J. S., Salamati P., Samy A. M., Sanabria J., Santric-Milicevic M. M., Sathian B., Sawhney M., Schmidt M. I., Seidu A. -A., Sepanlou S. G., Seylani A., Shaikh M. A., Sheikh A., Shetty A., Shigematsu M., Shiri R., Shivakumar K. M., Shokri A., Singh J. A., Sinha D. N., Skryabin V. Y., Skryabina A. A., Sofi-Mahmudi A., Sousa R. A. R. C., Stephens J. H., Sun J., Szocska M., Tabares-Seisdedos R., Tadbiri H., Tamiru A. T., Thankappan K. R., Topor-Madry R., Tovani-Palone M. R., Tran M. T. N., Tran B. X., Tripathi N., Tripathy J. P., Troeger C. E., Uezono D. R., Ullah S., Ullah A., Unnikrishnan B., Vacante M., Valadan Tahbaz S., Valdez P. R., Vasic M., Veroux M., Vervoort D., Violante F. S., Vladimirov S. K., Vlassov V., Vo B., Waheed Y., Wamai R. G., Wang Y. -P., Wang Y., Ward P., Wiangkham T., Yadav L., Yahyazadeh Jabbari S. H., Yamagishi K., Yaya S., Yazdi-Feyzabadi V., Yi S., Yigit V., Yonemoto N., Younis M. Z., Yu C., Yunusa I., Zaman S. B., Zastrozhin M. S., Zhang Z. -J., Zhong C., Zuniga Y. M. H., Lim S. S., Murray C. J. L., Lozano R., Haakenstad, A, Yearwood, J, Fullman, N, Bintz, C, Bienhoff, K, Weaver, M, Nandakumar, V, Joffe, J, Legrand, K, Knight, M, Abbafati, C, Abbasi-Kangevari, M, Abdoli, A, Abeldano Zuniga, R, Adedeji, I, Adekanmbi, V, Adetokunboh, O, Afzal, M, Afzal, S, Agudelo-Botero, M, Ahinkorah, B, Ahmad, S, Ahmadi, A, Ahmadi, S, Ahmed, A, Ahmed Rashid, T, Aji, B, Akande-Sholabi, W, Alam, K, Al Hamad, H, Alhassan, R, Ali, L, Alipour, V, Aljunid, S, Ameyaw, E, Amin, T, Amu, H, Amugsi, D, Ancuceanu, R, Andrade, P, Anjum, A, Arabloo, J, Arab-Zozani, M, Ariffin, H, Arulappan, J, Aryan, Z, Ashraf, T, Atnafu, D, Atreya, A, Ausloos, M, Avila-Burgos, L, Ayano, G, Ayanore, M, Azari, S, Badiye, A, Baig, A, Bairwa, M, Bakkannavar, S, Baliga, S, Banik, P, Barnighausen, T, Barra, F, Barrow, A, Basu, S, Bayati, M, Belete, R, Bell, A, Bhagat, D, Bhagavathula, A, Bhardwaj, P, Bhardwaj, N, Bhaskar, S, Bhattacharyya, K, Bhutta, Z, Bibi, S, Bijani, A, Bikbov, B, Biondi, A, Bolarinwa, O, Bonny, A, Brenner, H, Buonsenso, D, Burkart, K, Busse, R, Butt, Z, Butt, N, Caetano dos Santos, F, Cahuana-Hurtado, L, Camera, L, Cardenas, R, Carneiro, V, Catala-Lopez, F, Chandan, J, Charan, J, Chavan, P, Chen, S, Choudhari, S, Chowdhury, E, Chowdhury, M, Cirillo, M, Corso, B, Dadras, O, Dahlawi, S, Dai, X, Dandona, L, Dandona, R, Dangel, W, Davila-Cervantes, C, Davletov, K, Deuba, K, Dhimal, M, Djalalinia, S, Do, H, Doshmangir, L, Duncan, B, Effiong, A, Ehsani-Chimeh, E, Elgendy, I, Elhadi, M, El Sayed, I, El Tantawi, M, Erku, D, Eskandarieh, S, Fares, J, Farzadfar, F, Ferrero, S, Ferro Desideri, L, Fischer, F, Foigt, N, Foroutan, M, Fukumoto, T, Gaal, P, Gaihre, S, Gardner, W, Garg, T, Getachew Obsa, A, Ghafourifard, M, Ghashghaee, A, Ghith, N, Gilani, S, Gill, P, Goharinezhad, S, Golechha, M, Guadamuz, J, Guo, Y, Gupta, R, Gupta, V, Hamiduzzaman, M, Hanif, A, Haro, J, Hasaballah, A, Hasan, M, Hashi, A, Hay, S, Hayat, K, Heidari, M, Heidari, G, Henry, N, Herteliu, C, Holla, R, Hossain, S, Hossain, M, Hosseinzadeh, M, Hostiuc, S, Hoveidamanesh, S, Hsieh, V, Hu, G, Huang, J, Huda, M, Ifeagwu, S, Ikuta, K, Ilesanmi, O, Irvani, S, Islam, R, Islam, S, Ismail, N, Iso, H, Isola, G, Itumalla, R, Iwagami, M, Jahani, M, Jahanmehr, N, Jain, R, Jakovljevic, M, Janodia, M, Jayapal, S, Jayaram, S, Jha, R, Jonas, J, Joo, T, Joseph, N, Jurisson, M, Kabir, A, Kalankesh, L, Kalhor, R, Kamath, A, Kamenov, K, Kandel, H, Kantar, R, Kapoor, N, Karanikolos, M, Katikireddi, S, Kavetskyy, T, Kawakami, N, Kayode, G, Keikavoosi-Arani, L, Keykhaei, M, Khader, Y, Khajuria, H, Khalilov, R, Khammarnia, M, Khan, M, Khezeli, M, Kim, M, Kim, Y, Kisa, S, Kisa, A, Klymchuk, V, Koly, K, Korzh, O, Kosen, S, Koul, P, Kuate Defo, B, Kumar, G, Kusuma, D, Kyu, H, Larsson, A, Lasrado, S, Lee, W, Lee, Y, Lee, C, Li, S, Lucchetti, G, Mahajan, P, Majeed, A, Makki, A, Malekzadeh, R, Malik, A, Malta, D, Mansournia, M, Mantovani, L, Martinez-Valle, A, Martins-Melo, F, Masoumi, S, Mathur, M, Maude, R, Maulik, P, Mckee, M, Mendoza, W, Menezes, R, Mensah, G, Meretoja, A, Meretoja, T, Mestrovic, T, Michalek, I, Mirrakhimov, E, Misganaw, A, Misra, S, Moazen, B, Mohammadi, M, Mohammed, S, Moitra, M, Mokdad, A, Molokhia, M, Monasta, L, Moni, M, Moradi, G, Moreira, R, Mosser, J, Mostafavi, E, Mouodi, S, Nagarajan, A, Nagata, C, Naghavi, M, Nangia, V, Narasimha Swamy, S, Narayana, A, Nascimento, B, Nassereldine, H, Nayak, B, Nazari, J, Negoi, I, Nepal, S, Neupane Kandel, S, Ngunjiri, J, Nguyen, H, Nguyen, C, Ningrum, D, Noubiap, J, Oancea, B, Oghenetega, O, Oh, I, Olagunju, A, Olakunde, B, Omar Bali, A, Omer, E, Onwujekwe, O, Otoiu, A, Padubidri, J, Palladino, R, Pana, A, Panda-Jonas, S, Pandi-Perumal, S, Pardhan, S, Pasupula, D, Pathak, P, Patton, G, Pawar, S, Pereira, J, Pilania, M, Piroozi, B, Podder, V, Pokhrel, K, Postma, M, Prada, S, Quazi Syed, Z, Rabiee, N, Radhakrishnan, R, Rahman, M, Rahmani, A, Ranabhat, C, Rao, C, Rao, S, Rasella, D, Rawaf, S, Rawaf, D, Rawal, L, Renzaho, A, Reshmi, B, Resnikoff, S, Rezapour, A, Riahi, S, Ripon, R, Sacco, S, Sadeghi, M, Saeed, U, Sahebkar, A, Sahiledengle, B, Sahoo, H, Sahu, M, Salama, J, Salamati, P, Samy, A, Sanabria, J, Santric-Milicevic, M, Sathian, B, Sawhney, M, Schmidt, M, Seidu, A, Sepanlou, S, Seylani, A, Shaikh, M, Sheikh, A, Shetty, A, Shigematsu, M, Shiri, R, Shivakumar, K, Shokri, A, Singh, J, Sinha, D, Skryabin, V, Skryabina, A, Sofi-Mahmudi, A, Sousa, R, Stephens, J, Sun, J, Szocska, M, Tabares-Seisdedos, R, Tadbiri, H, Tamiru, A, Thankappan, K, Topor-Madry, R, Tovani-Palone, M, Tran, M, Tran, B, Tripathi, N, Tripathy, J, Troeger, C, Uezono, D, Ullah, S, Ullah, A, Unnikrishnan, B, Vacante, M, Valadan Tahbaz, S, Valdez, P, Vasic, M, Veroux, M, Vervoort, D, Violante, F, Vladimirov, S, Vlassov, V, Vo, B, Waheed, Y, Wamai, R, Wang, Y, Ward, P, Wiangkham, T, Yadav, L, Yahyazadeh Jabbari, S, Yamagishi, K, Yaya, S, Yazdi-Feyzabadi, V, Yi, S, Yigit, V, Yonemoto, N, Younis, M, Yu, C, Yunusa, I, Zaman, S, Zastrozhin, M, Zhang, Z, Zhong, C, Zuniga, Y, Lim, S, Murray, C, Lozano, R, Haakenstad A., Yearwood J. A., Fullman N., Bintz C., Bienhoff K., Weaver M. R., Nandakumar V., Joffe J. N., LeGrand K. E., Knight M., Abbafati C., Abbasi-Kangevari M., Abdoli A., Abeldano Zuniga R. A., Adedeji I. A., Adekanmbi V., Adetokunboh O. O., Afzal M. S., Afzal S., Agudelo-Botero M., Ahinkorah B. O., Ahmad S., Ahmadi A., Ahmadi S., Ahmed A., Ahmed Rashid T., Aji B., Akande-Sholabi W., Alam K., Al Hamad H., Alhassan R. K., Ali L., Alipour V., Aljunid S. M., Ameyaw E. K., Amin T. T., Amu H., Amugsi D. A., Ancuceanu R., Andrade P. P., Anjum A., Arabloo J., Arab-Zozani M., Ariffin H., Arulappan J., Aryan Z., Ashraf T., Atnafu D. D., Atreya A., Ausloos M., Avila-Burgos L., Ayano G., Ayanore M. A., Azari S., Badiye A. D., Baig A. A., Bairwa M., Bakkannavar S. M., Baliga S., Banik P. C., Barnighausen T. W., Barra F., Barrow A., Basu S., Bayati M., Belete R., Bell A. W., Bhagat D. S., Bhagavathula A. S., Bhardwaj P., Bhardwaj N., Bhaskar S., Bhattacharyya K., Bhutta Z. A., Bibi S., Bijani A., Bikbov B., Biondi A., Bolarinwa O. A., Bonny A., Brenner H., Buonsenso D., Burkart K., Busse R., Butt Z. A., Butt N. S., Caetano dos Santos F. L., Cahuana-Hurtado L., Camera L. A., Cardenas R., Carneiro V. L. A., Catala-Lopez F., Chandan J. S., Charan J., Chavan P. P., Chen S., Choudhari S. G., Chowdhury E. K., Chowdhury M. A. K., Cirillo M., Corso B., Dadras O., Dahlawi S. M. A., Dai X., Dandona L., Dandona R., Dangel W. J., Davila-Cervantes C. A., Davletov K., Deuba K., Dhimal M., Dhimal M. L., Djalalinia S., Do H. P., Doshmangir L., Duncan B. B., Effiong A., Ehsani-Chimeh E., Elgendy I. Y., Elhadi M., El Sayed I., El Tantawi M., Erku D. A., Eskandarieh S., Fares J., Farzadfar F., Ferrero S., Ferro Desideri L., Fischer F., Foigt N. A., Foroutan M., Fukumoto T., Gaal P. A., Gaihre S., Gardner W. M., Garg T., Getachew Obsa A., Ghafourifard M., Ghashghaee A., Ghith N., Gilani S. A., Gill P. S., Goharinezhad S., Golechha M., Guadamuz J. S., Guo Y., Gupta R. D., Gupta R., Gupta V. K., Gupta V. B., Hamiduzzaman M., Hanif A., Haro J. M., Hasaballah A. I., Hasan M. M., Hasan M. T., Hashi A., Hay S. I., Hayat K., Heidari M., Heidari G., Henry N. J., Herteliu C., Holla R., Hossain S., Hossain S. J., Hossain M. B. H., Hosseinzadeh M., Hostiuc S., Hoveidamanesh S., Hsieh V. C. -R., Hu G., Huang J., Huda M. M., Ifeagwu S. C., Ikuta K. S., Ilesanmi O. S., Irvani S. S. N., Islam R. M., Islam S. M. S., Ismail N. E., Iso H., Isola G., Itumalla R., Iwagami M., Jahani M. A., Jahanmehr N., Jain R., Jakovljevic M., Janodia M. D., Jayapal S. K., Jayaram S., Jha R. P., Jonas J. B., Joo T., Joseph N., Jurisson M., Kabir A., Kalankesh L. R., Kalhor R., Kamath A. M., Kamenov K., Kandel H., Kantar R. S., Kapoor N., Karanikolos M., Katikireddi S. V., Kavetskyy T., Kawakami N., Kayode G. A., Keikavoosi-Arani L., Keykhaei M., Khader Y. S., Khajuria H., Khalilov R., Khammarnia M., Khan M. N., Khan M. A., Khan M., Khezeli M., Kim M. S., Kim Y. J., Kisa S., Kisa A., Klymchuk V., Koly K. N., Korzh O., Kosen S., Koul P. A., Kuate Defo B., Kumar G. A., Kusuma D., Kyu H. H., Larsson A. O., Lasrado S., Lee W. -C., Lee Y. H., Lee C. B., Li S., Lucchetti G., Mahajan P. B., Majeed A., Makki A., Malekzadeh R., Malik A. A., Malta D. C., Mansournia M. A., Mantovani L. G., Martinez-Valle A., Martins-Melo F. R., Masoumi S. Z., Mathur M. R., Maude R. J., Maulik P. K., McKee M., Mendoza W., Menezes R. G., Mensah G. A., Meretoja A., Meretoja T. J., Mestrovic T., Michalek I. M., Mirrakhimov E. M., Misganaw A., Misra S., Moazen B., Mohammadi M., Mohammed S., Moitra M., Mokdad A. H., Molokhia M., Monasta L., Moni M. A., Moradi G., Moreira R. S., Mosser J. F., Mostafavi E., Mouodi S., Nagarajan A. J., Nagata C., Naghavi M., Nangia V., Narasimha Swamy S., Narayana A. I., Nascimento B. R., Nassereldine H., Nayak B. P., Nazari J., Negoi I., Nepal S., Neupane Kandel S., Ngunjiri J. W., Nguyen H. L. T., Nguyen C. T., Ningrum D. N. A., Noubiap J. J., Oancea B., Oghenetega O. B., Oh I. -H., Olagunju A. T., Olakunde B. O., Omar Bali A., Omer E., Onwujekwe O. E., Otoiu A., Padubidri J. R., Palladino R., Pana A., Panda-Jonas S., Pandi-Perumal S. R., Pardhan S., Pasupula D. K., Pathak P. K., Patton G. C., Pawar S., Pereira J., Pilania M., Piroozi B., Podder V., Pokhrel K. N., Postma M. J., Prada S. I., Quazi Syed Z., Rabiee N., Radhakrishnan R. A., Rahman M. M., Rahman M., Rahman M. H. U., Rahmani A. M., Ranabhat C. L., Rao C. R., Rao S. J., Rasella D., Rawaf S., Rawaf D. L., Rawal L., Renzaho A. M. N., Reshmi B., Resnikoff S., Rezapour A., Riahi S. M., Ripon R. K., Sacco S., Sadeghi M., Saeed U., Sahebkar A., Sahiledengle B., Sahoo H., Sahu M., Salama J. S., Salamati P., Samy A. M., Sanabria J., Santric-Milicevic M. M., Sathian B., Sawhney M., Schmidt M. I., Seidu A. -A., Sepanlou S. G., Seylani A., Shaikh M. A., Sheikh A., Shetty A., Shigematsu M., Shiri R., Shivakumar K. M., Shokri A., Singh J. A., Sinha D. N., Skryabin V. Y., Skryabina A. A., Sofi-Mahmudi A., Sousa R. A. R. C., Stephens J. H., Sun J., Szocska M., Tabares-Seisdedos R., Tadbiri H., Tamiru A. T., Thankappan K. R., Topor-Madry R., Tovani-Palone M. R., Tran M. T. N., Tran B. X., Tripathi N., Tripathy J. P., Troeger C. E., Uezono D. R., Ullah S., Ullah A., Unnikrishnan B., Vacante M., Valadan Tahbaz S., Valdez P. R., Vasic M., Veroux M., Vervoort D., Violante F. S., Vladimirov S. K., Vlassov V., Vo B., Waheed Y., Wamai R. G., Wang Y. -P., Wang Y., Ward P., Wiangkham T., Yadav L., Yahyazadeh Jabbari S. H., Yamagishi K., Yaya S., Yazdi-Feyzabadi V., Yi S., Yigit V., Yonemoto N., Younis M. Z., Yu C., Yunusa I., Zaman S. B., Zastrozhin M. S., Zhang Z. -J., Zhong C., Zuniga Y. M. H., Lim S. S., Murray C. J. L., and Lozano R.

Abstract

Background: Health-care needs change throughout the life course. It is thus crucial to assess whether health systems provide access to quality health care for all ages. Drawing from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019), we measured the Healthcare Access and Quality (HAQ) Index overall and for select age groups in 204 locations from 1990 to 2019. Methods: We distinguished the overall HAQ Index (ages 0–74 years) from scores for select age groups: the young (ages 0–14 years), working (ages 15–64 years), and post-working (ages 65–74 years) groups. For GBD 2019, HAQ Index construction methods were updated to use the arithmetic mean of scaled mortality-to-incidence ratios (MIRs) and risk-standardised death rates (RSDRs) for 32 causes of death that should not occur in the presence of timely, quality health care. Across locations and years, MIRs and RSDRs were scaled from 0 (worst) to 100 (best) separately, putting the HAQ Index on a different relative scale for each age group. We estimated absolute convergence for each group on the basis of whether the HAQ Index grew faster in absolute terms between 1990 and 2019 in countries with lower 1990 HAQ Index scores than countries with higher 1990 HAQ Index scores and by Socio-demographic Index (SDI) quintile. SDI is a summary metric of overall development. Findings: Between 1990 and 2019, the HAQ Index increased overall (by 19·6 points, 95% uncertainty interval 17·9–21·3), as well as among the young (22·5, 19·9–24·7), working (17·2, 15·2–19·1), and post-working (15·1, 13·2–17·0) age groups. Large differences in HAQ Index scores were present across SDI levels in 2019, with the overall index ranging from 30·7 (28·6–33·0) on average in low-SDI countries to 83·4 (82·4–84·3) on average in high-SDI countries. Similarly large ranges between low-SDI and high-SDI countries, respectively, were estimated in the HAQ Index for the young (40·4–89·0), working (33·8–82·8), and post-working (30·4–79·1) g

Published
2022

34. Serum uric acid levels threshold for mortality in diabetic individuals: The URic acid Right for heArt Health (URRAH) project

Author

Masulli, M, D'Elia, L, Angeli, F, Barbagallo, C, Bilancio, G, Bombelli, M, Bruno, B, Casiglia, E, Cianci, R, Cicero, A, Cirillo, M, Cirillo, P, Dell'Oro, R, Desideri, G, Ferri, C, Gesualdo, L, Giannattasio, C, Grassi, G, Iaccarino, G, Lippa, L, Mallamaci, F, Maloberti, A, Masi, S, Mazza, A, Mengozzi, A, Muiesan, M, Nazzaro, P, Palatini, P, Parati, G, Pontremoli, R, Quarti-Trevano, F, Rattazzi, M, Reboldi, G, Rivasi, G, Salvetti, M, Tikhonoff, V, Tocci, G, Ungar, A, Verdecchia, P, Viazzi, F, Virdis, A, Volpe, M, Borghi, C, Galletti, F, Masulli M., D'Elia L., Angeli F., Barbagallo C. M., Bilancio G., Bombelli M., Bruno B., Casiglia E., Cianci R., Cicero A. F. G., Cirillo M., Cirillo P., Dell'Oro R., Desideri G., Ferri C., Gesualdo L., Giannattasio C., Grassi G., Iaccarino G., Lippa L., Mallamaci F., Maloberti A., Masi S., Mazza A., Mengozzi A., Muiesan M. L., Nazzaro P., Palatini P., Parati G., Pontremoli R., Quarti-Trevano F., Rattazzi M., Reboldi G., Rivasi G., Salvetti M., Tikhonoff V., Tocci G., Ungar A., Verdecchia P., Viazzi F., Virdis A., Volpe M., Borghi C., Galletti F., Masulli, M, D'Elia, L, Angeli, F, Barbagallo, C, Bilancio, G, Bombelli, M, Bruno, B, Casiglia, E, Cianci, R, Cicero, A, Cirillo, M, Cirillo, P, Dell'Oro, R, Desideri, G, Ferri, C, Gesualdo, L, Giannattasio, C, Grassi, G, Iaccarino, G, Lippa, L, Mallamaci, F, Maloberti, A, Masi, S, Mazza, A, Mengozzi, A, Muiesan, M, Nazzaro, P, Palatini, P, Parati, G, Pontremoli, R, Quarti-Trevano, F, Rattazzi, M, Reboldi, G, Rivasi, G, Salvetti, M, Tikhonoff, V, Tocci, G, Ungar, A, Verdecchia, P, Viazzi, F, Virdis, A, Volpe, M, Borghi, C, Galletti, F, Masulli M., D'Elia L., Angeli F., Barbagallo C. M., Bilancio G., Bombelli M., Bruno B., Casiglia E., Cianci R., Cicero A. F. G., Cirillo M., Cirillo P., Dell'Oro R., Desideri G., Ferri C., Gesualdo L., Giannattasio C., Grassi G., Iaccarino G., Lippa L., Mallamaci F., Maloberti A., Masi S., Mazza A., Mengozzi A., Muiesan M. L., Nazzaro P., Palatini P., Parati G., Pontremoli R., Quarti-Trevano F., Rattazzi M., Reboldi G., Rivasi G., Salvetti M., Tikhonoff V., Tocci G., Ungar A., Verdecchia P., Viazzi F., Virdis A., Volpe M., Borghi C., and Galletti F.

Abstract

Background and aim: The URRAH (URic acid Right for heArt Health) Study has identified cut-off values of serum uric acid (SUA) predictive of total mortality at 4.7 mg/dl, and cardiovascular (CV) mortality at 5.6 mg/dl. Our aim was to validate these SUA thresholds in people with diabetes. Methods and results: The URRAH subpopulation of people with diabetes was studied. All-cause and CV deaths were evaluated at the end of follow-up. A total of 2570 diabetic subjects were studied. During a median follow-up of 107 months, 744 deaths occurred. In the multivariate Cox regression analyses adjusted for several confounders, subjects with SUA ≥5.6 mg/dl had higher risk of total (HR: 1.23, 95%CI: 1.04–1.47) and CV mortality (HR:1.31, 95%CI:1.03–1.66), than those with SUA <5.6 mg/dl. Increased all-cause mortality risk was shown in participants with SUA ≥4.7 mg/dl vs SUA below 4.7 mg/dl, but not statistically significant after adjustment for all confounders. Conclusions: SUA thresholds previously proposed by the URRAH study group are predictive of total and CV mortality also in people with diabetes. The threshold of 5.6 mg/dl can predict both total and CV mortality, and so is candidate to be a clinical cut-off for the definition of hyperuricemia in patients with diabetes.

Published
2022

35. The association of uric acid with mortality modifies at old age: Data from the uric acid right for heart health (URRAH) study

Author

Ungar, A, Rivasi, G, Di Bari, M, Virdis, A, Casiglia, E, Masi, S, Mengozzi, A, Barbagallo, C, Bombelli, M, Bruno, B, Cicero, A, Cirillo, M, Cirillo, P, Desideri, G, D'Elia, L, Ferri, C, Galletti, F, Gesualdo, L, Giannattasio, C, Iaccarino, G, Ciccarelli, M, Lippa, L, Mallamaci, F, Maloberti, A, Mazza, A, Muiesan, M, Nazzaro, P, Palatini, P, Parati, G, Pontremoli, R, Quarti-Trevano, F, Rattazzi, M, Salvetti, M, Tikhonoff, V, Tocci, G, Cianci, R, Verdecchia, P, Viazzi, F, Volpe, M, Grassi, G, Borghi, C, Ungar A., Rivasi G., Di Bari M., Virdis A., Casiglia E., Masi S., Mengozzi A., Barbagallo C. M., Bombelli M., Bruno B., Cicero A. F. G., Cirillo M., Cirillo P., Desideri G., D'elia L., Ferri C., Galletti F., Gesualdo L., Giannattasio C., Iaccarino G., Ciccarelli M., Lippa L., Mallamaci F., Maloberti A., Mazza A., Muiesan M. L., Nazzaro P., Palatini P., Parati G., Pontremoli R., Quarti-Trevano F., Rattazzi M., Salvetti M., Tikhonoff V., Tocci G., Cianci R., Verdecchia P., Viazzi F., Volpe M., Grassi G., Borghi C., Ungar, A, Rivasi, G, Di Bari, M, Virdis, A, Casiglia, E, Masi, S, Mengozzi, A, Barbagallo, C, Bombelli, M, Bruno, B, Cicero, A, Cirillo, M, Cirillo, P, Desideri, G, D'Elia, L, Ferri, C, Galletti, F, Gesualdo, L, Giannattasio, C, Iaccarino, G, Ciccarelli, M, Lippa, L, Mallamaci, F, Maloberti, A, Mazza, A, Muiesan, M, Nazzaro, P, Palatini, P, Parati, G, Pontremoli, R, Quarti-Trevano, F, Rattazzi, M, Salvetti, M, Tikhonoff, V, Tocci, G, Cianci, R, Verdecchia, P, Viazzi, F, Volpe, M, Grassi, G, Borghi, C, Ungar A., Rivasi G., Di Bari M., Virdis A., Casiglia E., Masi S., Mengozzi A., Barbagallo C. M., Bombelli M., Bruno B., Cicero A. F. G., Cirillo M., Cirillo P., Desideri G., D'elia L., Ferri C., Galletti F., Gesualdo L., Giannattasio C., Iaccarino G., Ciccarelli M., Lippa L., Mallamaci F., Maloberti A., Mazza A., Muiesan M. L., Nazzaro P., Palatini P., Parati G., Pontremoli R., Quarti-Trevano F., Rattazzi M., Salvetti M., Tikhonoff V., Tocci G., Cianci R., Verdecchia P., Viazzi F., Volpe M., Grassi G., and Borghi C.

Abstract

Objectives: In older individuals, the role of serum uric acid (SUA) as risk factor for mortality is debated. This study investigated the association of SUA with all-cause and cardiovascular (CV) mortality in older adults participating in the large multicentre observational uric acid right for heart health (URRAH) study. Methods: Eight thousand URRAH participants aged 65R were included in the analysis. The predictive role of SUA was assessed using Cox regression models stratified according to the cut-off age of 75. SUA was tested as continuous and categorical variable (age-specific quartiles). The prognostic threshold of SUA for mortality was analysed using receiver operating characteristic curves. Results: Among participants aged 65–74, multivariate Cox regression analysis adjusted for CV risk factors and comorbidities identified an independent association of SUA with both all-cause mortality (hazard ratio [HR] 1.169, 95% confidence interval [CI] 1.107–1.235) and CV mortality (HR 1.146, 95% CI 1.064–1.235). The cut-off value of 4.8mg/dl discriminated mortality status. In participants aged 75R, we observed a J-shaped relationship of SUA with all-cause and CV mortality, with risk increasing at extreme SUA levels. Conclusions: These results confirmed the predictive role of SUA for all-cause and CV mortality in older adults, while revealing considerable age-related differences. Mortality risk increased at higher SUA levels in participants aged 65–74, with a prognostic threshold of 4.8mg/dl. The relationship between SUA and mortality was J-shaped in oldest participants. Large interventional studies are needed to clarify the benefits and possible risks of urate-lowering treatments in older adults.

Published
2022

37. Major cardiovascular events and subsequent risk of kidney failure with replacement therapy: a CKD Prognosis Consortium study

Author

Mark, P.B., Carrero, J.J., Matsushita, K., Sang, Y., Ballew, S.H., Grams, M.E., Coresh, J., Surapaneni, A., Brunskill, N.J., Chalmers, J., Chan, L., Chang, A.R., Chinnadurai, R., Chodick, G., Cirillo, M., Zeeuw, D. de, Evans, M., Garg, A.X., Gutierrez, O.M., Heerspink, H.J.L., Heine, G.H., Herrington, W.G., Ishigami, J., Kronenberg, F., Lee, J.Y., Levin, A., Major, R.W., Marks, A., Nadkarni, G.N., Naimark, D.M.J., Nowak, C., Rahman, M., Sabanayagam, C., Sarnak, M., Sawhney, S., Schneider, M.P., Shalev, V., Shin, J.I., Siddiqui, M.K., Stempniewicz, N., Sumida, K., Valdivielso, J.M., Brand, J. van den, Yee-Moon Wang, A, Wheeler, D.C., Zhang, L., Visseren, F.L.J., Stengel, B., Mark, P.B., Carrero, J.J., Matsushita, K., Sang, Y., Ballew, S.H., Grams, M.E., Coresh, J., Surapaneni, A., Brunskill, N.J., Chalmers, J., Chan, L., Chang, A.R., Chinnadurai, R., Chodick, G., Cirillo, M., Zeeuw, D. de, Evans, M., Garg, A.X., Gutierrez, O.M., Heerspink, H.J.L., Heine, G.H., Herrington, W.G., Ishigami, J., Kronenberg, F., Lee, J.Y., Levin, A., Major, R.W., Marks, A., Nadkarni, G.N., Naimark, D.M.J., Nowak, C., Rahman, M., Sabanayagam, C., Sarnak, M., Sawhney, S., Schneider, M.P., Shalev, V., Shin, J.I., Siddiqui, M.K., Stempniewicz, N., Sumida, K., Valdivielso, J.M., Brand, J. van den, Yee-Moon Wang, A, Wheeler, D.C., Zhang, L., Visseren, F.L.J., and Stengel, B.

Abstract

Item does not contain fulltext, AIMS: Chronic kidney disease (CKD) increases risk of cardiovascular disease (CVD). Less is known about how CVD associates with future risk of kidney failure with replacement therapy (KFRT). METHODS AND RESULTS: The study included 25 903 761 individuals from the CKD Prognosis Consortium with known baseline estimated glomerular filtration rate (eGFR) and evaluated the impact of prevalent and incident coronary heart disease (CHD), stroke, heart failure (HF), and atrial fibrillation (AF) events as time-varying exposures on KFRT outcomes. Mean age was 53 (standard deviation 17) years and mean eGFR was 89 mL/min/1.73 m2, 15% had diabetes and 8.4% had urinary albumin-to-creatinine ratio (ACR) available (median 13 mg/g); 9.5% had prevalent CHD, 3.2% prior stroke, 3.3% HF, and 4.4% prior AF. During follow-up, there were 269 142 CHD, 311 021 stroke, 712 556 HF, and 605 596 AF incident events and 101 044 (0.4%) patients experienced KFRT. Both prevalent and incident CVD were associated with subsequent KFRT with adjusted hazard ratios (HRs) of 3.1 [95% confidence interval (CI): 2.9-3.3], 2.0 (1.9-2.1), 4.5 (4.2-4.9), 2.8 (2.7-3.1) after incident CHD, stroke, HF and AF, respectively. HRs were highest in first 3 months post-CVD incidence declining to baseline after 3 years. Incident HF hospitalizations showed the strongest association with KFRT [HR 46 (95% CI: 43-50) within 3 months] after adjustment for other CVD subtype incidence. CONCLUSION: Incident CVD events strongly and independently associate with future KFRT risk, most notably after HF, then CHD, stroke, and AF. Optimal strategies for addressing the dramatic risk of KFRT following CVD events are needed.

Published
2023

38. Estimated Glomerular Filtration Rate, Albuminuria, and Adverse Outcomes: An Individual-Participant Data Meta-Analysis

Author

Grams, M.E., Coresh, J., Matsushita, K., Ballew, S.H., Sang, Y., Surapaneni, A., Pinho, N. Alencar de, Anderson, A., Appel, L.J., Ärnlöv, J., Azizi, F., Bansal, N., Bell, S., Bilo, H.J.G., Brunskill, N.J., Carrero, J.J., Chadban, S., Chalmers, J., Chen, J., Ciemins, E., Cirillo, M., Ebert, N., Evans, M., Ferreiro, Alejandro, Fu, E.L., Fukagawa, M., Green, J.A., Gutierrez, O.M., Herrington, W.G., Hwang, S.J., Inker, L.A., Iseki, K., Jafar, T., Jassal, S.K., Jha, V., Kadota, A., Katz, R., Köttgen, A., Konta, T., Kronenberg, F., Lee, B.J., Lees, J., Levin, A., Looker, H.C., Major, R., Cohen, C. Melzer, Mieno, M., Miyazaki, M., Moranne, O., Muraki, I., Naimark, D., Nitsch, D., Oh, W., Pena, M., Purnell, T.S., Sabanayagam, C., Satoh, M., Sawhney, S., Schaeffner, E., Schöttker, B., Shen, J.I., Shlipak, M.G., Sinha, S., Stengel, B., Sumida, K., Tonelli, M., Valdivielso, J.M., Zuilen, A.D. van, Visseren, F.L.J., Wang, A.Y., Wen, C.P., Wheeler, D.C., Yatsuya, H., Yamagata, K., Yang, J.W., Young, A., Zhang, Haitao, Zhang, L., Wetzels, J.F.M., Levey, A.S., Gansevoort, R.T., Grams, M.E., Coresh, J., Matsushita, K., Ballew, S.H., Sang, Y., Surapaneni, A., Pinho, N. Alencar de, Anderson, A., Appel, L.J., Ärnlöv, J., Azizi, F., Bansal, N., Bell, S., Bilo, H.J.G., Brunskill, N.J., Carrero, J.J., Chadban, S., Chalmers, J., Chen, J., Ciemins, E., Cirillo, M., Ebert, N., Evans, M., Ferreiro, Alejandro, Fu, E.L., Fukagawa, M., Green, J.A., Gutierrez, O.M., Herrington, W.G., Hwang, S.J., Inker, L.A., Iseki, K., Jafar, T., Jassal, S.K., Jha, V., Kadota, A., Katz, R., Köttgen, A., Konta, T., Kronenberg, F., Lee, B.J., Lees, J., Levin, A., Looker, H.C., Major, R., Cohen, C. Melzer, Mieno, M., Miyazaki, M., Moranne, O., Muraki, I., Naimark, D., Nitsch, D., Oh, W., Pena, M., Purnell, T.S., Sabanayagam, C., Satoh, M., Sawhney, S., Schaeffner, E., Schöttker, B., Shen, J.I., Shlipak, M.G., Sinha, S., Stengel, B., Sumida, K., Tonelli, M., Valdivielso, J.M., Zuilen, A.D. van, Visseren, F.L.J., Wang, A.Y., Wen, C.P., Wheeler, D.C., Yatsuya, H., Yamagata, K., Yang, J.W., Young, A., Zhang, Haitao, Zhang, L., Wetzels, J.F.M., Levey, A.S., and Gansevoort, R.T.

Abstract

Item does not contain fulltext, IMPORTANCE: Chronic kidney disease (low estimated glomerular filtration rate [eGFR] or albuminuria) affects approximately 14% of adults in the US. OBJECTIVE: To evaluate associations of lower eGFR based on creatinine alone, lower eGFR based on creatinine combined with cystatin C, and more severe albuminuria with adverse kidney outcomes, cardiovascular outcomes, and other health outcomes. DESIGN, SETTING, AND PARTICIPANTS: Individual-participant data meta-analysis of 27 503 140 individuals from 114 global cohorts (eGFR based on creatinine alone) and 720 736 individuals from 20 cohorts (eGFR based on creatinine and cystatin C) and 9 067 753 individuals from 114 cohorts (albuminuria) from 1980 to 2021. EXPOSURES: The Chronic Kidney Disease Epidemiology Collaboration 2021 equations for eGFR based on creatinine alone and eGFR based on creatinine and cystatin C; and albuminuria estimated as urine albumin to creatinine ratio (UACR). MAIN OUTCOMES AND MEASURES: The risk of kidney failure requiring replacement therapy, all-cause mortality, cardiovascular mortality, acute kidney injury, any hospitalization, coronary heart disease, stroke, heart failure, atrial fibrillation, and peripheral artery disease. The analyses were performed within each cohort and summarized with random-effects meta-analyses. RESULTS: Within the population using eGFR based on creatinine alone (mean age, 54 years [SD, 17 years]; 51% were women; mean follow-up time, 4.8 years [SD, 3.3 years]), the mean eGFR was 90 mL/min/1.73 m2 (SD, 22 mL/min/1.73 m2) and the median UACR was 11 mg/g (IQR, 8-16 mg/g). Within the population using eGFR based on creatinine and cystatin C (mean age, 59 years [SD, 12 years]; 53% were women; mean follow-up time, 10.8 years [SD, 4.1 years]), the mean eGFR was 88 mL/min/1.73 m2 (SD, 22 mL/min/1.73 m2) and the median UACR was 9 mg/g (IQR, 6-18 mg/g). Lower eGFR (whether based on creatinine alone or based on creatinine and cystatin C) and higher UACR were each significantly associ

Published
2023

39. The Results of the URRAH (Uric Acid Right for Heart Health) Project: A Focus on Hyperuricemia in Relation to Cardiovascular and Kidney Disease and its Role in Metabolic Dysregulation

Author

Maloberti, A, Mengozzi, A, Russo, E, Cicero, A, Angeli, F, Agabiti Rosei, E, Barbagallo, C, Bernardino, B, Bombelli, M, Cappelli, F, Casiglia, E, Cianci, R, Ciccarelli, M, Cirillo, M, Cirillo, P, Desideri, G, D'Elia, L, Dell'Oro, R, Facchetti, R, Ferri, C, Galletti, F, Giannattasio, C, Gesualdo, L, Iaccarino, G, Lippa, L, Mallamaci, F, Masi, S, Masulli, M, Mazza, A, Muiesan, M, Nazzaro, P, Parati, G, Palatini, P, Pauletto, P, Pontremoli, R, Pugliese, N, Quarti-Trevano, F, Rattazzi, M, Reboldi, G, Rivasi, G, Salvetti, M, Tikhonoff, V, Tocci, G, Ungar, A, Verdecchia, P, Viazzi, F, Volpe, M, Virdis, A, Grassi, G, Borghi, C, Maloberti, Alessandro, Mengozzi, Alessandro, Russo, Elisa, Cicero, Arrigo Francesco Giuseppe, Angeli, Fabio, Agabiti Rosei, Enrico, Barbagallo, Carlo Maria, Bernardino, Bruno, Bombelli, Michele, Cappelli, Federica, Casiglia, Edoardo, Cianci, Rosario, Ciccarelli, Michele, Cirillo, Massimo, Cirillo, Pietro, Desideri, Giovambattista, D'Elia, Lanfranco, Dell'Oro, Raffaella, Facchetti, Rita, Ferri, Claudio, Galletti, Ferruccio, Giannattasio, Cristina, Gesualdo, Loreto, Iaccarino, Guido, Lippa, Luciano, Mallamaci, Francesca, Masi, Stefano, Masulli, Maria, Mazza, Alberto, Muiesan, Maria Lorenza, Nazzaro, Pietro, Parati, Gianfranco, Palatini, Paolo, Pauletto, Paolo, Pontremoli, Roberto, Pugliese, Nicola Riccardo, Quarti-Trevano, Fosca, Rattazzi, Marcello, Reboldi, Gianpaolo, Rivasi, Giulia, Salvetti, Massimo, Tikhonoff, Valerie, Tocci, Giuliano, Ungar, Andrea, Verdecchia, Paolo, Viazzi, Francesca, Volpe, Massimo, Virdis, Agostino, Grassi, Guido, Borghi, Claudio, Maloberti, A, Mengozzi, A, Russo, E, Cicero, A, Angeli, F, Agabiti Rosei, E, Barbagallo, C, Bernardino, B, Bombelli, M, Cappelli, F, Casiglia, E, Cianci, R, Ciccarelli, M, Cirillo, M, Cirillo, P, Desideri, G, D'Elia, L, Dell'Oro, R, Facchetti, R, Ferri, C, Galletti, F, Giannattasio, C, Gesualdo, L, Iaccarino, G, Lippa, L, Mallamaci, F, Masi, S, Masulli, M, Mazza, A, Muiesan, M, Nazzaro, P, Parati, G, Palatini, P, Pauletto, P, Pontremoli, R, Pugliese, N, Quarti-Trevano, F, Rattazzi, M, Reboldi, G, Rivasi, G, Salvetti, M, Tikhonoff, V, Tocci, G, Ungar, A, Verdecchia, P, Viazzi, F, Volpe, M, Virdis, A, Grassi, G, Borghi, C, Maloberti, Alessandro, Mengozzi, Alessandro, Russo, Elisa, Cicero, Arrigo Francesco Giuseppe, Angeli, Fabio, Agabiti Rosei, Enrico, Barbagallo, Carlo Maria, Bernardino, Bruno, Bombelli, Michele, Cappelli, Federica, Casiglia, Edoardo, Cianci, Rosario, Ciccarelli, Michele, Cirillo, Massimo, Cirillo, Pietro, Desideri, Giovambattista, D'Elia, Lanfranco, Dell'Oro, Raffaella, Facchetti, Rita, Ferri, Claudio, Galletti, Ferruccio, Giannattasio, Cristina, Gesualdo, Loreto, Iaccarino, Guido, Lippa, Luciano, Mallamaci, Francesca, Masi, Stefano, Masulli, Maria, Mazza, Alberto, Muiesan, Maria Lorenza, Nazzaro, Pietro, Parati, Gianfranco, Palatini, Paolo, Pauletto, Paolo, Pontremoli, Roberto, Pugliese, Nicola Riccardo, Quarti-Trevano, Fosca, Rattazzi, Marcello, Reboldi, Gianpaolo, Rivasi, Giulia, Salvetti, Massimo, Tikhonoff, Valerie, Tocci, Giuliano, Ungar, Andrea, Verdecchia, Paolo, Viazzi, Francesca, Volpe, Massimo, Virdis, Agostino, Grassi, Guido, and Borghi, Claudio

Abstract

The relationship between Serum Uric Acid (UA) and Cardiovascular (CV) diseases has already been extensively evaluated, and it was found to be an independent predictor of all-cause and cardiovascular mortality but also acute coronary syndrome, stroke and heart failure. Similarly, also many papers have been published on the association between UA and kidney function, while less is known on the role of UA in metabolic derangement and, particularly, in metabolic syndrome. Despite the substantial number of publications on the topic, there are still some elements of doubt: (1) the better cut-off to be used to refine CV risk (also called CV cut-off); (2) the needing for a correction of UA values for kidney function; and (3) the better definition of its role in metabolic syndrome: is UA simply a marker, a bystander or a key pathological element of metabolic dysregulation?. The Uric acid Right for heArt Health (URRAH) project was designed by the Working Group on uric acid and CV risk of the Italian Society of Hypertension to answer the first question. After the first papers that individuates specific cut-off for different CV disease, subsequent articles have been published responding to the other relevant questions. This review will summarise most of the results obtained so far from the URRAH research project.

Published
2023

40. Serum Uric Acid Predicts All-Cause and Cardiovascular Mortality Independently of Hypertriglyceridemia in Cardiometabolic Patients without Established CV Disease: A Sub-Analysis of the URic acid Right for heArt Health (URRAH) Study

Author

Mengozzi, A, Pugliese, N, Desideri, G, Masi, S, Angeli, F, Barbagallo, C, Bombelli, M, Cappelli, F, Casiglia, E, Cianci, R, Ciccarelli, M, Cicero, A, Cirillo, M, Cirillo, P, Dell’Oro, R, D’Elia, L, Ferri, C, Galletti, F, Gesualdo, L, Giannattasio, C, Grassi, G, Iaccarino, G, Lippa, L, Mallamaci, F, Maloberti, A, Masulli, M, Mazza, A, Muiesan, M, Nazzaro, P, Palatini, P, Parati, G, Pontremoli, R, Quarti-Trevano, F, Rattazzi, M, Reboldi, G, Rivasi, G, Russo, E, Salvetti, M, Tikhonoff, V, Tocci, G, Ungar, A, Verdecchia, P, Viazzi, F, Volpe, M, Borghi, C, Virdis, A, Mengozzi, Alessandro, Pugliese, Nicola Riccardo, Desideri, Giovambattista, Masi, Stefano, Angeli, Fabio, Barbagallo, Carlo Maria, Bombelli, Michele, Cappelli, Federica, Casiglia, Edoardo, Cianci, Rosario, Ciccarelli, Michele, Cicero, Arrigo F. G., Cirillo, Massimo, Cirillo, Pietro, Dell’Oro, Raffaella, D’Elia, Lanfranco, Ferri, Claudio, Galletti, Ferruccio, Gesualdo, Loreto, Giannattasio, Cristina, Grassi, Guido, Iaccarino, Guido, Lippa, Luciano, Mallamaci, Francesca, Maloberti, Alessandro, Masulli, Maria, Mazza, Alberto, Muiesan, Maria Lorenza, Nazzaro, Pietro, Palatini, Paolo, Parati, Gianfranco, Pontremoli, Roberto, Quarti-Trevano, Fosca, Rattazzi, Marcello, Reboldi, Gianpaolo, Rivasi, Giulia, Russo, Elisa, Salvetti, Massimo, Tikhonoff, Valerie, Tocci, Giuliano, Ungar, Andrea, Verdecchia, Paolo, Viazzi, Francesca, Volpe, Massimo, Borghi, Claudio, Virdis, Agostino, Mengozzi, A, Pugliese, N, Desideri, G, Masi, S, Angeli, F, Barbagallo, C, Bombelli, M, Cappelli, F, Casiglia, E, Cianci, R, Ciccarelli, M, Cicero, A, Cirillo, M, Cirillo, P, Dell’Oro, R, D’Elia, L, Ferri, C, Galletti, F, Gesualdo, L, Giannattasio, C, Grassi, G, Iaccarino, G, Lippa, L, Mallamaci, F, Maloberti, A, Masulli, M, Mazza, A, Muiesan, M, Nazzaro, P, Palatini, P, Parati, G, Pontremoli, R, Quarti-Trevano, F, Rattazzi, M, Reboldi, G, Rivasi, G, Russo, E, Salvetti, M, Tikhonoff, V, Tocci, G, Ungar, A, Verdecchia, P, Viazzi, F, Volpe, M, Borghi, C, Virdis, A, Mengozzi, Alessandro, Pugliese, Nicola Riccardo, Desideri, Giovambattista, Masi, Stefano, Angeli, Fabio, Barbagallo, Carlo Maria, Bombelli, Michele, Cappelli, Federica, Casiglia, Edoardo, Cianci, Rosario, Ciccarelli, Michele, Cicero, Arrigo F. G., Cirillo, Massimo, Cirillo, Pietro, Dell’Oro, Raffaella, D’Elia, Lanfranco, Ferri, Claudio, Galletti, Ferruccio, Gesualdo, Loreto, Giannattasio, Cristina, Grassi, Guido, Iaccarino, Guido, Lippa, Luciano, Mallamaci, Francesca, Maloberti, Alessandro, Masulli, Maria, Mazza, Alberto, Muiesan, Maria Lorenza, Nazzaro, Pietro, Palatini, Paolo, Parati, Gianfranco, Pontremoli, Roberto, Quarti-Trevano, Fosca, Rattazzi, Marcello, Reboldi, Gianpaolo, Rivasi, Giulia, Russo, Elisa, Salvetti, Massimo, Tikhonoff, Valerie, Tocci, Giuliano, Ungar, Andrea, Verdecchia, Paolo, Viazzi, Francesca, Volpe, Massimo, Borghi, Claudio, and Virdis, Agostino

Abstract

High serum uric acid (SUA) and triglyceride (TG) levels might promote high-cardiovascular risk phenotypes across the cardiometabolic spectrum. However, SUA predictive power in the presence of normal and high TG levels has never been investigated. We included 8124 patients from the URic acid Right for heArt Health (URRAH) study cohort who were followed for over 20 years and had no established cardiovascular disease or uncontrolled metabolic disease. All-cause mortality (ACM) and cardiovascular mortality (CVM) were explored by the Kaplan–Meier estimator and Cox multivariable regression, adopting recently defined SUA cut-offs for ACM (≥4.7 mg/dL) and CVM (≥5.6 mg/dL). Exploratory analysis across cardiometabolic subgroups and a sensitivity analysis using SUA/serum creatinine were performed as validation. SUA predicted ACM (HR 1.25 [1.12–1.40], p < 0.001) and CVM (1.31 [1.11–1.74], p < 0.001) in the whole study population, and according to TG strata: ACM in normotriglyceridemia (HR 1.26 [1.12–1.43], p < 0.001) and hypertriglyceridemia (1.31 [1.02–1.68], p = 0.033), and CVM in normotriglyceridemia (HR 1.46 [1.23–1.73], p < 0.001) and hypertriglyceridemia (HR 1.31 [0.99–1.64], p = 0.060). Exploratory and sensitivity analyses confirmed our findings, suggesting a substantial role of SUA in normotriglyceridemia and hypertriglyceridemia. In conclusion, we report that SUA can predict ACM and CVM in cardiometabolic patients without established cardiovascular disease, independent of TG levels.

Published
2023

41. Hyperuricemia increases the risk of cardiovascular mortality associated with very high HdL-cholesterol level

Author

Palatini, P, Virdis, A, Masi, S, Mengozzi, A, Casiglia, E, Tikhonoff, V, Cicero, A, Ungar, A, Parati, G, Rivasi, G, Salvetti, M, Barbagallo, C, Bombelli, M, Dell'Oro, R, Bruno, B, Lippa, L, D'Elia, L, Masulli, M, Verdecchia, P, Reboldi, G, Angeli, F, Mallamaci, F, Cirillo, M, Rattazzi, M, Cirillo, P, Gesualdo, L, Mazza, A, Giannattasio, C, Maloberti, A, Volpe, M, Tocci, G, Iaccarino, G, Nazzaro, P, Galletti, F, Ferri, C, Desideri, G, Viazzi, F, Pontremoli, R, Muiesan, M, Grassi, G, Borghi, C, Palatini, Paolo, Virdis, Agostino, Masi, Stefano, Mengozzi, Alessandro, Casiglia, Edoardo, Tikhonoff, Valerie, Cicero, Arrigo F G, Ungar, Andrea, Parati, Gianfranco, Rivasi, Giulia, Salvetti, Massimo, Barbagallo, Carlo M, Bombelli, Michele, Dell'Oro, Raffaella, Bruno, Berardino, Lippa, Luciano, D'Elia, Lanfranco, Masulli, Maria, Verdecchia, Paolo, Reboldi, Gianpaolo, Angeli, Fabio, Mallamaci, Francesca, Cirillo, Massimo, Rattazzi, Marcello, Cirillo, Pietro, Gesualdo, Loreto, Mazza, Alberto, Giannattasio, Cristina, Maloberti, Alessandro, Volpe, Massimo, Tocci, Giuliano, Iaccarino, Guido, Nazzaro, Pietro, Galletti, Ferruccio, Ferri, Claudio, Desideri, Giovambattista, Viazzi, Francesca, Pontremoli, Roberto, Muiesan, Maria Lorenza, Grassi, Guido, Borghi, Claudio, Palatini, P, Virdis, A, Masi, S, Mengozzi, A, Casiglia, E, Tikhonoff, V, Cicero, A, Ungar, A, Parati, G, Rivasi, G, Salvetti, M, Barbagallo, C, Bombelli, M, Dell'Oro, R, Bruno, B, Lippa, L, D'Elia, L, Masulli, M, Verdecchia, P, Reboldi, G, Angeli, F, Mallamaci, F, Cirillo, M, Rattazzi, M, Cirillo, P, Gesualdo, L, Mazza, A, Giannattasio, C, Maloberti, A, Volpe, M, Tocci, G, Iaccarino, G, Nazzaro, P, Galletti, F, Ferri, C, Desideri, G, Viazzi, F, Pontremoli, R, Muiesan, M, Grassi, G, Borghi, C, Palatini, Paolo, Virdis, Agostino, Masi, Stefano, Mengozzi, Alessandro, Casiglia, Edoardo, Tikhonoff, Valerie, Cicero, Arrigo F G, Ungar, Andrea, Parati, Gianfranco, Rivasi, Giulia, Salvetti, Massimo, Barbagallo, Carlo M, Bombelli, Michele, Dell'Oro, Raffaella, Bruno, Berardino, Lippa, Luciano, D'Elia, Lanfranco, Masulli, Maria, Verdecchia, Paolo, Reboldi, Gianpaolo, Angeli, Fabio, Mallamaci, Francesca, Cirillo, Massimo, Rattazzi, Marcello, Cirillo, Pietro, Gesualdo, Loreto, Mazza, Alberto, Giannattasio, Cristina, Maloberti, Alessandro, Volpe, Massimo, Tocci, Giuliano, Iaccarino, Guido, Nazzaro, Pietro, Galletti, Ferruccio, Ferri, Claudio, Desideri, Giovambattista, Viazzi, Francesca, Pontremoli, Roberto, Muiesan, Maria Lorenza, Grassi, Guido, and Borghi, Claudio

Abstract

Background and aims: Whether the association between very high HDL-cholesterol levels and cardiovascular mortality (CVM) is modulated by some facilitating factors is unclear. Aim of the study was to investigate whether the risk of CVM associated with very high HDL-cholesterol is increased in subjects with hyperuricemia. Methods and results: Multivariable Cox analyses were made in 18,072 participants from the multicentre URRAH study stratified by sex and HDL-cholesterol category. During a median follow-up of 11.4 years there were 1307 cases of CVM. In multivariable Cox models a J-shaped association was found in the whole population, with the highest risk being present in the high HDL-cholesterol group [>80 mg/dL, adjusted hazard ratio (HR), 1.28; 95%CI, 1.02–1.61; p = 0.031)]. However, a sex-specific analysis revealed that this association was present only in women (HR, 1.34; 95%CI, 1.02–1.77; p = 0.034) but not in men. The risk of CVM related to high HDL-cholesterol was much greater in the women with high uric acid (>0.30 mmol/L, HR 1.61; 95%CI, 1.08–2.39) than in those with low uric acid (HR, 1.17; 95%CI, 0.80–1.72, p for interaction = 0.016). In women older than 70 years with hyperuricemia the risk related to high HDL-cholesterol was 1.83 (95%CI, 1.19–2.80, p < 0.005). Inclusion of BMI in the models weakened the strength of the associations. Conclusion: Our data indicate that very high HDL-cholesterol levels in women are associated with CVM in a J-shaped fashion. The risk of CVM is increased by concomitant hyperuricemia suggesting that a proinflammatory/oxidative state can enhance the detrimental cardiovascular effects associated with high HDL-cholesterol.

Published
2023

42. Serum uric acid / serum creatinine ratio as a predictor of cardiovascular events. Detection of prognostic cardiovascular cut-off values

Author

Casiglia, E, Tikhonoff, V, Virdis, A, Grassi, G, Angeli, F, Barbagallo, C, Bombelli, M, Cicero, A, Cirillo, M, Cirillo, P, Dell'Oro, R, D'Elia, L, Desideri, G, Ferri, C, Galletti, F, Gesualdo, L, Giannattasio, C, Iaccarino, G, Lippa, L, Mallamaci, F, Masi, S, Maloberti, A, Masulli, M, Mazza, A, Mengozzi, A, Muiesan, M, Nazzaro, P, Palatini, P, Parati, G, Pontremoli, R, Quarti-Trevano, F, Rattazzi, M, Reboldi, G, Rivasi, G, Salvetti, M, Tocci, G, Ungar, A, Verdecchia, P, Viazzi, F, Volpe, M, Borghi, C, Casiglia, Edoardo, Tikhonoff, Valérie, Virdis, Agostino, Grassi, Guido, Angeli, Fabio, Barbagallo, Carlo M, Bombelli, Michele, Cicero, Arrigo F G, Cirillo, Massimo, Cirillo, Pietro, Dell'Oro, Raffaella, D'elia, Lanfranco, Desideri, Giovambattista, Ferri, Claudio, Galletti, Ferruccio, Gesualdo, Loreto, Giannattasio, Cristina, Iaccarino, Guido, Lippa, Luciano, Mallamaci, Francesca, Masi, Stefano, Maloberti, Alessandro, Masulli, Maria, Mazza, Alberto, Mengozzi, Alessandro, Muiesan, Maria Lorenza, Nazzaro, Pietro, Palatini, Paolo, Parati, Gianfranco, Pontremoli, Roberto, Quarti-Trevano, Fosca, Rattazzi, Marcello, Reboldi, Gianpaolo, Rivasi, Giulia, Salvetti, Massimo, Tocci, Giuliano, Ungar, Andrea, Verdecchia, Paolo, Viazzi, Francesca, Volpe, Massimo, Borghi, Claudio, Casiglia, E, Tikhonoff, V, Virdis, A, Grassi, G, Angeli, F, Barbagallo, C, Bombelli, M, Cicero, A, Cirillo, M, Cirillo, P, Dell'Oro, R, D'Elia, L, Desideri, G, Ferri, C, Galletti, F, Gesualdo, L, Giannattasio, C, Iaccarino, G, Lippa, L, Mallamaci, F, Masi, S, Maloberti, A, Masulli, M, Mazza, A, Mengozzi, A, Muiesan, M, Nazzaro, P, Palatini, P, Parati, G, Pontremoli, R, Quarti-Trevano, F, Rattazzi, M, Reboldi, G, Rivasi, G, Salvetti, M, Tocci, G, Ungar, A, Verdecchia, P, Viazzi, F, Volpe, M, Borghi, C, Casiglia, Edoardo, Tikhonoff, Valérie, Virdis, Agostino, Grassi, Guido, Angeli, Fabio, Barbagallo, Carlo M, Bombelli, Michele, Cicero, Arrigo F G, Cirillo, Massimo, Cirillo, Pietro, Dell'Oro, Raffaella, D'elia, Lanfranco, Desideri, Giovambattista, Ferri, Claudio, Galletti, Ferruccio, Gesualdo, Loreto, Giannattasio, Cristina, Iaccarino, Guido, Lippa, Luciano, Mallamaci, Francesca, Masi, Stefano, Maloberti, Alessandro, Masulli, Maria, Mazza, Alberto, Mengozzi, Alessandro, Muiesan, Maria Lorenza, Nazzaro, Pietro, Palatini, Paolo, Parati, Gianfranco, Pontremoli, Roberto, Quarti-Trevano, Fosca, Rattazzi, Marcello, Reboldi, Gianpaolo, Rivasi, Giulia, Salvetti, Massimo, Tocci, Giuliano, Ungar, Andrea, Verdecchia, Paolo, Viazzi, Francesca, Volpe, Massimo, and Borghi, Claudio

Abstract

Objective:In the frame of the Uric Acid Right for Heart Health (URRAH) study, a nationwide multicenter study involving adult participants recruited on a regional community basis from all the territory of Italy under the patronage of the Working Group on Uric Acid and Cardiovascular Risk of the Italian Society of Hypertension, we searched for the cut-off values of the ratio between serum uric acid (SUA) and serum creatinine (sCr) able to predict cardiovascular (CV) events.Methods:Among 20 724 participants followed-up for 126 ± 64 months, after detecting cut-off by the receiver operating characteristic curves, we calculated by Cox models adjusted for confounders having CV events as dependent variable the hazard ratio (HR) of SUA/sCr > cut-off. We also verified if the role of cut-off varied with increasing SUA/sCr.Results:A plausible prognostic cut-off of SUA/sCr was found and was the same in the whole database, in men and in women (>5.35). The HR of SUA/sCr > cut-off was 1.159 (95% confidence interval [CI] 1.092-1.131, P < 0.03) in all, 1.161 (95% CI 1.021-1.335, P < 0.02) in men, and 1.444 (95% CI 1.012-1.113, P < 0.03) in women. In increasing quintiles of SUA/sCr the cut-offs were >3.08, >4.87, >5.35, >6.22 and >7.58, respectively. The HRs significantly increased from the 3rd to the 5th quintile (1.21, 95% CI 1.032-1.467, P = 0.018; 1.294, 95% CI 1.101-1.521, P = 0.002; and 1.642, 95% CI 1.405-1.919, P < 0.0001; respectively), that is, over 5.35, whereas the 2nd quintile was not significantly different from the 1st (reference).Conclusion:Having SUA/sCr >5.35 is an independent CV risk indicator both in men and women. The cut-off is dynamic and significantly increases with increasing SUA/sCr.

Published
2023

43. Corrigendum to: High heart rate amplifies the risk of cardiovascular mortality associated with elevated uric acid

Author

Palatini, P, Palatini, P, Parati, G, Virdis, A, Reboldi, G, Masi, S, Mengozzi, A, Casiglia, E, Tikhonoff, V, Cicero, A, Ungar, A, Rivasi, G, Salvetti, M, Barbagallo, C, Bombelli, M, Dell'Oro, R, Bruno, B, Lippa, L, D'Elia, L, Verdecchia, P, Angeli, F, Mallamaci, F, Cirillo, M, Rattazzi, M, Cirillo, P, Gesualdo, L, Mazza, A, Giannattasio, C, Maloberti, A, Volpe, M, Tocci, G, Georgiopoulos, G, Iaccarino, G, Nazzaro, P, Galletti, F, Ferri, C, Desideri, G, Viazzi, F, Pontremoli, R, Muiesan, M, Grassi, G, Borghi, C, Cicero, AFG, Barbagallo, CM, Muiesan, ML, Palatini, P, Palatini, P, Parati, G, Virdis, A, Reboldi, G, Masi, S, Mengozzi, A, Casiglia, E, Tikhonoff, V, Cicero, A, Ungar, A, Rivasi, G, Salvetti, M, Barbagallo, C, Bombelli, M, Dell'Oro, R, Bruno, B, Lippa, L, D'Elia, L, Verdecchia, P, Angeli, F, Mallamaci, F, Cirillo, M, Rattazzi, M, Cirillo, P, Gesualdo, L, Mazza, A, Giannattasio, C, Maloberti, A, Volpe, M, Tocci, G, Georgiopoulos, G, Iaccarino, G, Nazzaro, P, Galletti, F, Ferri, C, Desideri, G, Viazzi, F, Pontremoli, R, Muiesan, M, Grassi, G, Borghi, C, Cicero, AFG, Barbagallo, CM, and Muiesan, ML

Published
2023

44. Association of uric acid with kidney function and albuminuria: the Uric Acid Right for heArt Health (URRAH) Project

Author

Russo E, Viazzi F, Pontremoli R, Barbagallo CM, Bombelli M, Casiglia E, Cicero AFG, Cirillo M, Cirillo P, Desideri G, D'Elia L, Ferri C, Galletti F, Gesualdo L, Giannattasio C, Iaccarino G, Leoncini G, Mallamaci F, Maloberti A, Masi S, Mengozzi A, Mazza A, Muiesan ML, Nazzaro P, Palatini P, Parati G, Rattazzi M, Rivasi G, Salvetti M, Tikhonoff V, Tocci G, Ungar A, Verdecchia P, Virdis A, Volpe M, Grassi G, Borghi C, Working Group on Uric Acid and Cardiovascular Risk of the Italian Society of Hypertension, Russo, E, Viazzi, F, Pontremoli, R, Barbagallo, C, Bombelli, M, Casiglia, E, Cicero, A, Cirillo, M, Cirillo, P, Desideri, G, D'Elia, L, Ferri, C, Galletti, F, Gesualdo, L, Giannattasio, C, Iaccarino, G, Leoncini, G, Mallamaci, F, Maloberti, A, Masi, S, Mengozzi, A, Mazza, A, Muiesan, M, Nazzaro, P, Palatini, P, Parati, G, Rattazzi, M, Rivasi, G, Salvetti, M, Tikhonoff, V, Tocci, G, Ungar, A, Verdecchia, P, Virdis, A, Volpe, M, Grassi, G, Borghi, C, Russo E, Viazzi F, Pontremoli R, Barbagallo CM, Bombelli M, Casiglia E, Cicero AFG, Cirillo M, Cirillo P, Desideri G, D'Elia L, Ferri C, Galletti F, Gesualdo L, Giannattasio C, Iaccarino G, Leoncini G, Mallamaci F, Maloberti A, Masi S, Mengozzi A, Mazza A, Muiesan ML, Nazzaro P, Palatini P, Parati G, Rattazzi M, Rivasi G, Salvetti M, Tikhonoff V, Tocci G, Ungar A, Verdecchia P, Virdis A, Volpe M, Grassi G, Borghi C, Working Group on Uric Acid and Cardiovascular Risk of the Italian Society of Hypertension, and Russo E, Viazzi F, Pontremoli R, Barbagallo CM, Bombelli M, Casiglia E, Cicero AFG, Cirillo M, Cirillo P, Desideri G, D'Elia L, Ferri C, Galletti F, Gesualdo L, Giannattasio C, Iaccarino G, Leoncini G, Mallamaci F, Maloberti A, Masi S, Mengozzi A, Mazza A, Muiesan ML, Nazzaro P, Palatini P, Parati G, Rattazzi M, Rivasi G, Salvetti M, Tikhonoff V, Tocci G, Ungar A, Verdecchia P, Virdis A, Volpe M, Grassi G, Borghi C

Subjects
Nephrology, Adult, Male, medicine.medical_specialty, Settore MED/09 - Medicina Interna, 030232 urology & nephrology, Allopurinol, Renal function, Hyperuricemia, 030204 cardiovascular system & hematology, Kidney, urologic and male genital diseases, Gastroenterology, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Serum uric acid, Risk Factors, Internal medicine, Diabetes mellitus, medicine, eGFR, Humans, Albuminuria, Renal Insufficiency, Chronic, Aged, business.industry, Cardiovascular risk, nutritional and metabolic diseases, Middle Aged, medicine.disease, Uric Acid, chemistry, Uric acid, Original Article, Female, medicine.symptom, business, medicine.drug, Kidney disease, Glomerular Filtration Rate
Abstract

Background Hyperuricemia is commonly observed in patients with chronic kidney disease (CKD). However, a better understanding of the relationship among uric acid (UA) values, glomerular filtration rate (GFR) and albuminuria may shed light on the mechanisms underlying the excess of cardiovascular mortality associated with both chronic kidney disease and hyperuricemia and lead to better risk stratification. Our main goal was to study the relationships between serum uric acid and kidney disease measures (namely estimated GFR [eGFR] and albuminuria) in a large cohort of individuals at cardiovascular risk from the URic acid Right for heArt Health (URRAH) Project database. Methods Clinical data of 26,971 individuals were analyzed. Factors associated with the presence of hyperuricemia defined on the basis of previously determined URRAH cutoffs for cardiovascular and all-cause mortality were evaluated through multivariate analysis. Chronic kidney disease was defined as eGFR 2 and/or abnormal urinary albumin excretion diagnosed as: (i) microalbuminuria if urinary albumin concentration was > 30 and ≤ 300 mg/L, or if urinary albumin-to-creatinine ratio (ACR) was > 3.4 mg/mmol and ≤ 34 mg/mmol; (ii) macroalbuminuria if urinary albumin concentration was > 300 mg/L, or if ACR was > 34 mg/mmol. Results Mean age was 58 ± 15 years (51% males, 62% with hypertension and 12% with diabetes), mean eGFR was 81 ml/min per 1.73m22with a prevalence of eGFR Conclusions The lower the eGFR the higher the prevalence of hyperuricemia and gout. In subjects with eGFR 90 ml/min. The percentage of individuals treated with allopurinol was below 2% when GFR was above 60 ml/min, it increased to 20% in the presence of CKD 3b and rose further to 35% in individuals with macroalbuminuria. Graphic abstract

Published
2022

45. Serum uric acid / serum creatinine ratio as a predictor of cardiovascular events. Detection of prognostic cardiovascular cut-off values

Author

Casiglia E, Tikhonoff V, Virdis A, Grassi G, Angeli F, Barbagallo CM, Bombelli M, Cicero AFG, Cirillo M, Cirillo P, Dell'Oro R, D'elia L, Desideri G, Ferri C, Galletti F, Gesualdo L, Giannattasio C, Iaccarino G, Lippa L, Mallamaci F, Masi S, Maloberti A, Masulli M, Mazza A, Mengozzi A, Muiesan ML, Nazzaro P, Palatini P, Parati G, Pontremoli R, Quarti-Trevano F, Rattazzi M, Reboldi G, Rivasi G, Salvetti M, Tocci G, Ungar A, Verdecchia P, Viazzi F, Volpe M, Borghi C, Working Group on Uric Acid and Cardiovascular Risk of the Italian Society of Hypertension (SIIA)., Casiglia E, Tikhonoff V, Virdis A, Grassi G, Angeli F, Barbagallo CM, Bombelli M, Cicero AFG, Cirillo M, Cirillo P, Dell'Oro R, D'elia L, Desideri G, Ferri C, Galletti F, Gesualdo L, Giannattasio C, Iaccarino G, Lippa L, Mallamaci F, Masi S, Maloberti A, Masulli M, Mazza A, Mengozzi A, Muiesan ML, Nazzaro P, Palatini P, Parati G, Pontremoli R, Quarti-Trevano F, Rattazzi M, Reboldi G, Rivasi G, Salvetti M, Tocci G, Ungar A, Verdecchia P, Viazzi F, Volpe M, Borghi C, Working Group on Uric Acid and Cardiovascular Risk of the Italian Society of Hypertension (SIIA)., Casiglia, E, Tikhonoff, V, Virdis, A, Grassi, G, Angeli, F, Barbagallo, C, Bombelli, M, Cicero, A, Cirillo, M, Cirillo, P, Dell'Oro, R, D'Elia, L, Desideri, G, Ferri, C, Galletti, F, Gesualdo, L, Giannattasio, C, Iaccarino, G, Lippa, L, Mallamaci, F, Masi, S, Maloberti, A, Masulli, M, Mazza, A, Mengozzi, A, Muiesan, M, Nazzaro, P, Palatini, P, Parati, G, Pontremoli, R, Quarti-Trevano, F, Rattazzi, M, Reboldi, G, Rivasi, G, Salvetti, M, Tocci, G, Ungar, A, Verdecchia, P, Viazzi, F, Volpe, M, and Borghi, C

Subjects
Adult, Male, CI, confidence interval(s), cut-off, Physiology, ICD-10, International Classification of Diseases – 10th Revision, cardiovascular, CV, cardiovascular, creatinine, epidemiology, uric acid, URRAH, Uric Acid Right for Heart Health, OR, odds ratio (s), Prognosis, Cardiovascular System, ROC, receiver operating characteristic, Hypertension, Internal Medicine, SUA, serum uric acid, Humans, Female, sCr, serum creatinine, Cardiology and Cardiovascular Medicine, HR, hazard ratio(s)
Abstract

Objective: In the frame of the Uric Acid Right for Heart Health (URRAH) study, a nationwide multicenter study involving adult participants recruited on a regional community basis from all the territory of Italy under the patronage of the Working Group on Uric Acid and Cardiovascular Risk of the Italian Society of Hypertension, we searched for the cut-off values of the ratio between serum uric acid (SUA) and serum creatinine (sCr) able to predict cardiovascular (CV) events. Methods: Among 20 724 participants followed-up for 126 ± 64 months, after detecting cut-off by the receiver operating characteristic curves, we calculated by Cox models adjusted for confounders having CV events as dependent variable the hazard ratio (HR) of SUA/sCr > cut-off. We also verified if the role of cut-off varied with increasing SUA/sCr. Results: A plausible prognostic cut-off of SUA/sCr was found and was the same in the whole database, in men and in women (>5.35). The HR of SUA/sCr > cut-off was 1.159 (95% confidence interval [CI] 1.092-1.131, P < 0.03) in all, 1.161 (95% CI 1.021-1.335, P < 0.02) in men, and 1.444 (95% CI 1.012-1.113, P < 0.03) in women. In increasing quintiles of SUA/sCr the cut-offs were >3.08, >4.87, >5.35, >6.22 and >7.58, respectively. The HRs significantly increased from the 3rd to the 5th quintile (1.21, 95% CI 1.032-1.467, P = 0.018; 1.294, 95% CI 1.101-1.521, P = 0.002; and 1.642, 95% CI 1.405-1.919, P < 0.0001; respectively), that is, over 5.35, whereas the 2nd quintile was not significantly different from the 1st (reference). Conclusion: Having SUA/sCr >5.35 is an independent CV risk indicator both in men and women. The cut-off is dynamic and significantly increases with increasing SUA/sCr.

Published
2022

46. PROGNOSTIC CUT-OFF VALUES OF SERUM URIC ACID ASSOCIATED WITH FATAL AND NON FATAL INCIDENT MYOCARDIAL INFARCTION INDEPENDENTLY OF ARTERIAL HYPERTENSION IN A LARGE COHORT

Author

Casiglia, E., Virdis, A., Tikhonoff, V., Barbagallo, C.M., Cirillo, M., Desideri, G., Ferri, C., Galletti, F., Grassi, G., Giannattasio, C., Iaccarino, G., Mallamaci, F., Masi, S., Mazza, A., Muiesan, M.L., Palatini, P., Pontremoli, R., Verdecchia, P., Volpe, M., and Borghi, C.

Published
2019
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47. SERUM URIC ACID, INDEPENDENTLY OF ARTERIAL HYPERTENSION, PREDICTS NON-FATAL INCIDENT CEREBROVASCULAR EVENTS IN AN ITALIAN LARGE COHORT OF MEN AND WOMEN. SEARCH FOR A CUT-OFF VALUE

Author

Tikhonoff, V., Virdis, A., Barbagallo, C.M., Cirillo, M., Desideri, G., Ferri, C., Galletti, F., Grassi, G., Iaccarino, G., Muiesan, M.L., Nazzaro, P., Palatini, P., Parati, G., Rattazzi, M., Tocci, G., Viazzi, F., Verdecchia, P., Ungar, A., Casiglia, E., and Borghi, C.

Published
2019
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50. The Pelvis and Lower Limbs

Author

Barbuti, D., Pacciani, E., Magistrelli, A., Cirillo, M., Fassari, F., Tanturri de Horatio, L., Martino, Fabio, editor, Defilippi, Claudio, editor, and Caudana, Roberto, editor

Published
2011
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