805 results on '"Turco S"'
Search Results
2. GIS-based analysis of relationships between ecological factors and forest vegetation in the Prealps (North-east Italy)
- Author
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Bonfanti PL, Ganis P, Altobelli A, Alberti G, Napolitano R, and Turco S
- Subjects
Forest type ,Ecological factor ,Geographic information system ,Principal component analysis ,Prealps ,Italy ,Forestry ,SD1-669.5 - Abstract
The forest communities distribution in mountainous areas is strongly related to some primary ecological factors (e.g. water, temperature, geology) and to some other factors derived from the soil morphology (e.g. slope, aspect and solar radiation). The aim of this study is to investigate and express quantitatively the relationships between ecological factors and forest communities through geospatial analysis in a GRASS GIS. There are significant statistical differences between forest communities according to environmental factors (Kruskal-Wallis test, T2 of Tamhane, PCA). Some ecological factors studied (e.g. solar potential radiation) are useful to describe forest communities in indirect gradient analysis. The study area is located in the Eastern Prealps of Friuli Venezia Giulia (Italy) and is characterized by a large environmental variability (climate, natural and human disturbances).
- Published
- 2004
3. An adversarial learning approach to generate pressure support ventilation waveforms for asynchrony detection
- Author
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Hao, L., Bakkes, T.H.G.F., van Diepen, A., Chennakeshava, N., Bouwman, R.A., De Bie Dekker, A.J.R., Woerlee, P.H., Mojoli, F., Mischi, M., Shi, Y., and Turco, S.
- Published
- 2024
- Full Text
- View/download PDF
4. A Model-Based Approach to Synthetic Data Set Generation for Patient-Ventilator Waveforms for Machine Learning and Educational Use
- Author
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van Diepen, A., Bakkes, T. H. G. F., De Bie, A. J. R., Turco, S., Bouwman, R. A., Woerlee, P. H., and Mischi, M.
- Subjects
Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Machine Learning - Abstract
Although mechanical ventilation is a lifesaving intervention in the ICU, it has harmful side-effects, such as barotrauma and volutrauma. These harms can occur due to asynchronies. Asynchronies are defined as a mismatch between the ventilator timing and patient respiratory effort. Automatic detection of these asynchronies, and subsequent feedback, would improve lung ventilation and reduce the probability of lung damage. Neural networks to detect asynchronies provide a promising new approach but require large annotated data sets, which are difficult to obtain and require complex monitoring of inspiratory effort. In this work, we propose a model-based approach to generate a synthetic data set for machine learning and educational use by extending an existing lung model with a first-order ventilator model. The physiological nature of the derived lung model allows adaptation to various disease archetypes, resulting in a diverse data set. We generated a synthetic data set using 9 different patient archetypes, which are derived from measurements in the literature. The model and synthetic data quality have been verified by comparison with clinical data, review by a clinical expert, and an artificial intelligence model that was trained on experimental data. The evaluation showed it was possible to generate patient-ventilator waveforms including asynchronies that have the most important features of experimental patient-ventilator waveforms.
- Published
- 2021
- Full Text
- View/download PDF
5. Delayed matrix pencil method for local shear wave viscoelastographic estimation
- Author
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Li, X., Turco, S., Aarts, R.M., Wijkstra, H., and Mischi, M.
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- 2024
- Full Text
- View/download PDF
6. A model-based approach to generating annotated pressure support waveforms
- Author
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van Diepen, A., Bakkes, T. H. G. F., De Bie, A. J. R., Turco, S., Bouwman, R. A., Woerlee, P. H., and Mischi, M.
- Published
- 2022
- Full Text
- View/download PDF
7. Evaluation of the accuracy of established patient inspiratory effort estimation methods during mechanical support ventilation
- Author
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van Diepen, A., Bakkes, T.H.G.F., De Bie, A.J.R., Turco, S., Bouwman, R.A., Woerlee, P.H., and Mischi, M.
- Published
- 2023
- Full Text
- View/download PDF
8. First report of Akanthomyces muscarius associated with hazelnut gall mite
- Author
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Mazzaglia, A., primary, Turco, S., additional, D’Attilia, C., additional, Contarini, M., additional, Cristofori, V., additional, Speranza, S., additional, and Drais, M.I., additional
- Published
- 2023
- Full Text
- View/download PDF
9. First report of the Fusarium arthrosporioides/avenaceum complex causing olive fruit rot in Italy
- Author
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Brugneti, F., primary, Turco, S., additional, Drais, M. I., additional, Giubilei, I., additional, and Mazzaglia, A., additional
- Published
- 2023
- Full Text
- View/download PDF
10. A NOVEL DERIVATIVE OF 2-PHENYL-PYRIDO[1,2-a]PYRIMIDIN-4-ONE INHIBITS ENDOTHELIAL CELL DYSFUNCTION AND SMOOTH MUSCLE CELL PROLIFERATION/ACTIVATION
- Author
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Del Turco, S, Sartini, Stefania, Sentieri, Cassandra, Saponaro, Chiara, Navarra, Teresa, Dario, Bianca, Da Settimo, Federico, La motta, Concettina, and Basta, Giuseppina
- Abstract
This is the unformatted version of the accepted review paper manuscript "A novel 2,3-diphenyl-4H-pyrido[1,2-a]pyrimidin-4-one derivative inhibits endothelial cell dysfunction and smooth muscle cell proliferation/activation." published on Eur J Med Chem. 2014 Jan 24;72:102-9. doi: 10.1016/j.ejmech.2013.11.021. Epub 2013 Dec 1. byDel Turco S,Sartini S, Sentieri C, Saponaro C, Navarra T, Dario B, Da Settimo F, La Motta C, Basta G. Hyper-proliferation and migration of vascular smooth muscle cells and endothelial cell dysfunction are central events in the development of neo-intimal lesions. Pursuing our interest in the synthesis of bioisosters of flavonoids, we studied in depth a novel synthetic 2,3-diphenyl-4H-pyrido[1,2-a]pyrimidin-4-one derivative, examining its effects in vitro on induced-cell proliferation and activation in human aortic smooth muscle cells (HAoSMCs) and in human umbilical vein endothelial cells (HUVECs). Compared with two well known flavonoids, apigenin and quercetin, the novel compound, 2-(3,4-dimethoxyphenyl)-3-phenyl-4H-pyrido[1,2-a]pyrimidin-4-one, 3, was not toxic for HUVECs, even at high concentrations and for long incubation times, while the two flavonoids were not tolerated, even at concentrations as low as 10 μmol/L. Compound 3 inhibited selectively, and in a concentration-dependent manner, the proliferation of HAoSMCs but not that of HUVECs. In HUVECs, it inhibited the cytokine-induced vascular cell adhesion molecule-1 expression, but not the cyclooxygenase-2 (COX-2) expression. Instead, in HAoSMC, it inhibited the induction of COX-2 expression and the relative release of prostaglandin E2. In addition, it inhibited the transcription of the matrix metalloproteinase-9 and its activity. Thanks to its multiple and tissue-specific function, 2-(3,4-dimethoxyphenyl)-3-phenyl-4H-pyrido[1,2-a]pyrimidin-4-one might replace or assist the action of current drugs eluted by coronary stents, in order to promote a functional repair of damaged wall.
- Published
- 2023
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11. Carbohydrate and LPG Expression in Leishmania viannia Subgenus
- Author
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Muskus, C., Segura, I., Oddone, R., Turco, S. J., Leiby, D. A., Toro, L., Robledo, S., and Saravia, N. G.
- Published
- 1997
- Full Text
- View/download PDF
12. First report of hazelnut kernel rot caused by Stemphylium vesicarium in Italy
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Drais, M. I., primary, Brugneti, F., additional, Ferracci, G., additional, Turco, S., additional, and Mazzaglia, A., additional
- Published
- 2023
- Full Text
- View/download PDF
13. Using MRI to gain insights on cuff-based physiological measurements
- Author
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Bogatu, L, Hoppenbrouwers, J, van den Bosch, H, Turco, S, Mischi, M, Schmitt, L, Woerlee, P, Bouwman, A, Korsten, HMH, Muehlsteff, J, Bogatu, L, Hoppenbrouwers, J, van den Bosch, H, Turco, S, Mischi, M, Schmitt, L, Woerlee, P, Bouwman, A, Korsten, HMH, and Muehlsteff, J
- Published
- 2023
14. Evaluation of the accuracy of established patient inspiratory effort estimation methods during mechanical support ventilation
- Author
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van Diepen, Anouk, Bakkes, T.H.G.F., de Bie, A.J.R., Turco, S., Bouwman, R.A., Woerlee, P.H., Mischi, M., van Diepen, Anouk, Bakkes, T.H.G.F., de Bie, A.J.R., Turco, S., Bouwman, R.A., Woerlee, P.H., and Mischi, M.
- Abstract
There is a clinical need for monitoring inspiratory effort to prevent lung- and diaphragm injury in patients who receive supportive mechanical ventilation in an Intensive Care Unit. Different pressure-based techniques are available to estimate this inspiratory effort at the bedside, but the accuracy of their effort estimation is uncertain since they are all based on a simplified linear model of the respiratory system, which omits gas compressibility of air, and the viscoelasticity and nonlinearities of the respiratory system. The aim of this in-silico study was to provide an overview of the pressure-based estimation techniques and to evaluate their accuracy using a more sophisticated model of the respiratory system and ventilator. The influence of the following parameters on the accuracy of the pressure-based estimation techniques was evaluated using the in-silico model: 1) the patient's respiratory mechanics 2) PEEP and the inspiratory pressure of the ventilator 3) gas compressibility of air 4) viscoelasticity of the respiratory system 5) the strength of the inspiratory effort. The best-performing technique in terms of accuracy was the whole breath occlusion. The average error and maximum error were the lowest for all patient archetypes. We found that the error was related to the expansion of gas in the breathing set and lungs and respiratory compliance. However, concerns exist that other factors not included in the model, such as a changed muscle-force relation during an occlusion, might influence the true accuracy. The estimation techniques based on the esophageal pressure showed an error related to the viscoelastic element in the model which leads to a higher error than the occlusion. The error of the esophageal pressure-based techniques is therefore highly dependent on the pathology of the patient and the settings of the ventilator and might change over time while a patient recovers or becomes more ill.
- Published
- 2023
15. TLC strategy for power distribution grids
- Author
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Turco, S., primary, Zollo, D. V., additional, Rufini, D., additional, Onori, G., additional, Valente, R., additional, Valigi, E., additional, and Amadei, F., additional
- Published
- 2023
- Full Text
- View/download PDF
16. Short-term effectiveness of dapagliflozin versus DPP-4 inhibitors in elderly patients with type 2 diabetes: a multicentre retrospective study
- Author
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Morieri, M. L., Raz, I., Consoli, A., Rigato, M., Lapolla, A., Broglio, F., Bonora, E., Avogaro, A., Fadini, G. P., Ginestra, F., Formoso, G., Andreozzi, F., Sesti, G., Turco, S., Lucibelli, L., Gatti, A., Aldigeri, R., Dei Cas, A., Felace, G., Li Volsi, P., Sorice, G. P., Giaccari, A., Mignogna, C., Buzzetti, R., Filardi, T., Morano, S., Barchetta, I., Gisella Cavallo, M., Malandrucco, I., Frontoni, S., Carletti, S., D'Angelo, P., Leto, G., Leonetti, F., Silvia Morpurgo, P., Fiorina, P., Palmieri, E., Orsi, E., Mantovani, E., Franzetti, I., Querci, F., Bossi, A., Turchi, F., Manfrini, S., Guida, D., Placentino, G., Beccuti, G., Cavalot, F., Nuzzo, A., Aimaretti, G., Lamacchia, O., Cignarelli, A., Laviola, L., Giorgino, F., Devangelio, E., Cazzetta, G., Chianetta, R., Citarrella, R., Tumminia, A., Frittitta, L., Anzaldi, M., Buscema, M., Piro, S., Di Pino, A., Purrello, F., Di Benedetto, A., Russo, G., Anichini, R., Solini, A., Garofolo, M., Del Prato, S., Fattor, B., Paolo Fadini, G., Sartore, G., D'Ambrosio, M., Da Tos, V., Frison, V., Simioni, N., Cigolini, M., Brun, E., Strazzabosco, M., Poli, M., Paccagnella, A., and Vinci, C.
- Subjects
Aging ,Cardiovascular ,Heart failure ,Kidney disease ,Observational - Published
- 2023
17. Reduced ccl11/eotaxin mediates the beneficial effects of environmental stimulation on the aged hippocampus
- Author
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Scabia, G, Testa, G, Scali, M, Del Turco, S, Desiato, G, Berardi, N, Sale, A, Matteoli, M, Maffei, L, Maffei, M, Mainardi, M, Scabia G., Testa G., Scali M., Del Turco S., Desiato G., Berardi N., Sale A., Matteoli M., Maffei L., Maffei M., Mainardi M., Scabia, G, Testa, G, Scali, M, Del Turco, S, Desiato, G, Berardi, N, Sale, A, Matteoli, M, Maffei, L, Maffei, M, Mainardi, M, Scabia G., Testa G., Scali M., Del Turco S., Desiato G., Berardi N., Sale A., Matteoli M., Maffei L., Maffei M., and Mainardi M.
- Abstract
A deterioration in cognitive performance accompanies brain aging, even in the absence of neurodegenerative pathologies. However, the rate of cognitive decline can be slowed down by enhanced cognitive and sensorimotor stimulation protocols, such as environmental enrichment (EE). Understanding how EE exerts its beneficial effects on the aged brain pathophysiology can help in identifying new therapeutic targets. In this regard, the inflammatory chemokine ccl11/eotaxin-1 is a marker of aging with a strong relevance for neurodegenerative processes. Here, we demonstrate that EE in both elderly humans and aged mice decreases circulating levels of ccl11. Interfering, in mice, with the ccl11 decrease induced by EE ablated the beneficial effects on long-term memory retention, hippocampal neurogenesis, activation of local microglia and of ribosomal protein S6. On the other hand, treatment of standard-reared aged mice with an anti-ccl11 antibody resulted in EE-like improvements in spatial memory, hippocampal neurogenesis, and microglial activation. Taken together, our findings point to a decrease in circulating ccl11 concentration as a key mediator of the enhanced hippocampal function resulting from exposure to EE.
- Published
- 2021
18. Changes in cardiovascular performance, biochemistry, gastric motility and muscle temperature induced by acute exercise on a treadmill in healthy military dogs
- Author
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Queiroz, R. W., Silva, V. L., Rocha, D. R., Costa, D. S., Turco, S. H. N., Silva, M. T. B., Santos, A. A., Oliveira, M. B. L., Pereira, A. S. R., and Palheta‐Junior, R. C.
- Published
- 2018
- Full Text
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19. The Plasma and Suprathermal Ion Composition (PLASTIC) Investigation on the STEREO Observatories
- Author
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Galvin, A. B., Kistler, L. M., Popecki, M. A., Farrugia, C. J., Simunac, K. D. C., Ellis, L., Möbius, E., Lee, M. A., Boehm, M., Carroll, J., Crawshaw, A., Conti, M., Demaine, P., Ellis, S., Gaidos, J. A., Googins, J., Granoff, M., Gustafson, A., Heirtzler, D., King, B., Knauss, U., Levasseur, J., Longworth, S., Singer, K., Turco, S., Vachon, P., Vosbury, M., Widholm, M., Blush, L. M., Karrer, R., Bochsler, P., Daoudi, H., Etter, A., Fischer, J., Jost, J., Opitz, A., Sigrist, M., Wurz, P., Klecker, B., Ertl, M., Seidenschwang, E., Wimmer-Schweingruber, R. F., Koeten, M., Thompson, B., Steinfeld, D., and Russell, C. T., editor
- Published
- 2008
- Full Text
- View/download PDF
20. The Search-Coil Magnetometer for MMS
- Author
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Le Contel, O., primary, Leroy, P., additional, Roux, A., additional, Coillot, C., additional, Alison, D., additional, Bouabdellah, A., additional, Mirioni, L., additional, Meslier, L., additional, Galic, A., additional, Vassal, M. C., additional, Torbert, R. B., additional, Needell, J., additional, Rau, D., additional, Dors, I., additional, Ergun, R. E., additional, Westfall, J., additional, Summers, D., additional, Wallace, J., additional, Magnes, W., additional, Valavanoglou, A., additional, Olsson, G., additional, Chutter, M., additional, Macri, J., additional, Myers, S., additional, Turco, S., additional, Nolin, J., additional, Bodet, D., additional, Rowe, K., additional, Tanguy, M., additional, and de la Porte, B., additional
- Published
- 2016
- Full Text
- View/download PDF
21. The Spin-Plane Double Probe Electric Field Instrument for MMS
- Author
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Lindqvist, P.-A., primary, Olsson, G., additional, Torbert, R. B., additional, King, B., additional, Granoff, M., additional, Rau, D., additional, Needell, G., additional, Turco, S., additional, Dors, I., additional, Beckman, P., additional, Macri, J., additional, Frost, C., additional, Salwen, J., additional, Eriksson, A., additional, Åhlén, L., additional, Khotyaintsev, Y. V., additional, Porter, J., additional, Lappalainen, K., additional, Ergun, R. E., additional, Wermeer, W., additional, and Tucker, S., additional
- Published
- 2016
- Full Text
- View/download PDF
22. The Spin-Plane Double Probe Electric Field Instrument for MMS
- Author
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Lindqvist, P.-A., Olsson, G., Torbert, R. B., King, B., Granoff, M., Rau, D., Needell, G., Turco, S., Dors, I., Beckman, P., Macri, J., Frost, C., Salwen, J., Eriksson, A., Åhlén, L., Khotyaintsev, Y. V., Porter, J., Lappalainen, K., Ergun, R. E., Wermeer, W., and Tucker, S.
- Published
- 2016
- Full Text
- View/download PDF
23. The Search-Coil Magnetometer for MMS
- Author
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Le Contel, O., Leroy, P., Roux, A., Coillot, C., Alison, D., Bouabdellah, A., Mirioni, L., Meslier, L., Galic, A., Vassal, M. C., Torbert, R. B., Needell, J., Rau, D., Dors, I., Ergun, R. E., Westfall, J., Summers, D., Wallace, J., Magnes, W., Valavanoglou, A., Olsson, G., Chutter, M., Macri, J., Myers, S., Turco, S., Nolin, J., Bodet, D., Rowe, K., Tanguy, M., and de la Porte, B.
- Published
- 2016
- Full Text
- View/download PDF
24. Peer Review #2 of "Variability within a clonal population of Erwinia amylovora disclosed by phenotypic analysis (v0.1)"
- Author
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Turco, S, additional
- Published
- 2022
- Full Text
- View/download PDF
25. MRI as research tool for cuff‑based physiological measurements
- Author
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Bogatu, Laura, Hoppenbrouwers, J., van den Bosch, H., Turco, S., Mischi, M., Muehlsteff, J., Schmitt, L., Woerlee, P.H., Korsten, H., Bouwman, R.A., Bogatu, Laura, Hoppenbrouwers, J., van den Bosch, H., Turco, S., Mischi, M., Muehlsteff, J., Schmitt, L., Woerlee, P.H., Korsten, H., and Bouwman, R.A.
- Published
- 2022
26. Hybrid assembly and comparative genomics of three different isolates of Gnomoniopsis castaneae
- Author
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Turco, S., Drais, M. I., Bastianelli, G., MORALES-RODRIGUEZ, C., Gonthier, P., Vannini, A., and Mazzaglia, A.
- Published
- 2022
27. The Solar Energetic Particle Ionic Charge Analyzer (SEPICA) and the Data Processing Unit (S3DPU) for SWICS, SWIMS and SEPICA
- Author
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Möbius, E., Kistler, L. M., Popecki, M. A., Crocker, K. N., Granoff, M., Turco, S., Anderson, A., Demain, P., Distelbrink, J., Dors, I., Dunphy, P., Ellis, S., Gaidos, J., Googins, J., Hayes, R., Humphrey, G., Kästle, H., Lavasseur, J., Lund, E. J., Miller, R., Sartori, E., Shappirio, M., Taylor, S., Vachon, P., Vosbury, M., Ye, V., Hovestadt, D., Klecker, B., Arbinger, H., Künneth, E., Pfeffermann, E., Seidenschwang, E., Gliem, F., Reiche, K.-U., Stöckner, K., Wiewesiek, W., Harasim, A., Schimpfle, J., Battell, S., Cravens, J., Murphy, G., Russell, C. T., editor, Mewaldt, R. A., editor, and Von Rosenvinge, T. T., editor
- Published
- 1998
- Full Text
- View/download PDF
28. Reduced ccl11/eotaxin mediates the beneficial effects of environmental stimulation on the aged hippocampus
- Author
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Scabia, G., Testa, G., Scali, M., Del Turco, S., Desiato, G., Berardi, N., Sale, A., Matteoli, M., Maffei, L., Maffei, M., Mainardi, M., Palumbo, Sara, Scabia, G., Testa, G., Scali, M., Del Turco, S., Desiato, G., Berardi, N., Sale, A., Matteoli, M., Maffei, L., Maffei, M., and Mainardi, M.
- Subjects
Chemokine CCL11 ,Aging ,Neurogenesis ,Immunology ,Eotaxin ,Hippocampus ,Stimulation ,Hippocampal formation ,Environment ,Settore BIO/09 - Fisiologia ,Learning and memory ,Inflammation ,Neural plasticity ,Animals ,Mice ,Spatial Memory ,Behavioral Neuroscience ,Neuroplasticity ,Medicine ,Cognitive decline ,CCL11 ,Environmental enrichment ,Endocrine and Autonomic Systems ,business.industry ,Animal ,respiratory system ,Neurogenesi ,business ,Neuroscience - Abstract
A deterioration in cognitive performance accompanies brain aging, even in the absence of neurodegenerative pathologies. However, the rate of cognitive decline can be slowed down by enhanced cognitive and sensorimotor stimulation protocols, such as environmental enrichment (EE). Understanding how EE exerts its beneficial effects on the aged brain pathophysiology can help in identifying new therapeutic targets. In this regard, the inflammatory chemokine ccl11/eotaxin-1 is a marker of aging with a strong relevance for neurodegenerative processes. Here, we demonstrate that EE in both elderly humans and aged mice decreases circulating levels of ccl11. Interfering, in mice, with the ccl11 decrease induced by EE ablated the beneficial effects on long-term memory retention, hippocampal neurogenesis, activation of local microglia and of ribosomal protein S6. On the other hand, treatment of standard-reared aged mice with an anti-ccl11 antibody resulted in EE-like improvements in spatial memory, hippocampal neurogenesis, and microglial activation. Taken together, our findings point to a decrease in circulating ccl11 concentration as a key mediator of the enhanced hippocampal function resulting from exposure to EE. A deterioration in cognitive performance accompanies brain aging, even in the absence of neurodegenerative pathologies. However, the rate of cognitive decline can be slowed down by enhanced cognitive and sensorimotor stimulation protocols, such as environmental enrichment (EE). Understanding how EE exerts its beneficial effects on the aged brain pathophysiology can help in identifying new therapeutic targets. In this regard, the inflammatory chemokine ccl11/eotaxin-1 is a marker of aging with a strong relevance for neurodegenerative processes. Here, we demonstrate that EE in both elderly humans and aged mice decreases circulating levels of ccl11. Interfering, in mice, with the ccl11 decrease induced by EE ablated the beneficial effects on long-term memory retention, hippocampal neurogenesis, activation of local microglia and of ribosomal protein S6. On the other hand, treatment of standard-reared aged mice with an anti-ccl11 antibody resulted in EE-like improvements in spatial memory, hippocampal neurogenesis, and microglial activation. Taken together, our findings point to a decrease in circulating ccl11 concentration as a key mediator of the enhanced hippocampal function resulting from exposure to EE.
- Published
- 2021
29. A micro-PET/CT approach using O-(2-[ 18F]fluoroethyl)- l-tyrosine in an experimental animal model of F98 glioma for BNCT
- Author
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Menichetti, L., Petroni, D., Panetta, D., Burchielli, S., Bortolussi, Silva, Matteucci, M., Pascali, G., Del Turco, S., Del Guerra, A., Altieri, S., and Salvadori, P.A.
- Published
- 2011
- Full Text
- View/download PDF
30. Is a quantitative analysis of dynamic contrast-enhanced MRI of added value for prostate cancer diagnosis?
- Author
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Turco, S., primary, Dinis Fernandes, C., additional, Miclea, R., additional, Schoots, I.G., additional, Nooijen, P., additional, Van Der Linden, H., additional, Barentsz, J., additional, Heijmink, S., additional, Wijkstrah, H., additional, and Mischi, M., additional
- Published
- 2022
- Full Text
- View/download PDF
31. Biopsy-region-based multiparametric ultrasound imaging for prostate cancer localization
- Author
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Chen, P., primary, Turco, S., additional, Wijkstra, H., additional, Zwart, W., additional, Huang, P., additional, and Mischi, M., additional
- Published
- 2022
- Full Text
- View/download PDF
32. 3D printing and 3D bioprinting technology in medicine: ethical and legal issues.
- Author
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Rizzo, M. L., Turco, S., Spina, F., Costantino, A., Visi, G., Baronti, A., Maiese, A., and Di Paolo, M.
- Subjects
MEDICINE ,THREE-dimensional printing ,MEDICAL equipment ,MEDICAL care ,CLINICAL trials - Abstract
There has been a surge of interest in new technologies in medicine because of their promising clinical applications. Extensive research on additive manufacturing and its applications in the medical field has been carried out with good results and very high expectations. Due to their disruptive nature and potential, 3D printing and even more 3D bioprinting raise many ethical and safety concerns that need to be adequately addressed to provide good regulation before entering clinical practice. This article aims to highlight the general ethical concerns associated with the use of additive manufacturing in medicine and the lack of current international regulatory directives to guide these experiments. Transparency about how these new medical devices are regulated and approved is a fundamental requirement to promote and improve public trust, efficiency, safety and quality. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
33. OP17.06: Diagnosing adenomyosis using transvaginal contrast‐enhanced ultrasound: a pilot study.
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de Bock, E.J., Kandi, F., Stoelinga, B., Schmitt, C., Turco, S., Burger, N., Fernandes, C. Dinis, Juffermans, L., Mischi, M., and Huirne, J.F.
- Subjects
MENORRHAGIA ,CONTRAST-enhanced ultrasound ,TRANSVAGINAL ultrasonography ,CONTRAST media ,UTERUS ,DYSMENORRHEA - Abstract
This article discusses a pilot study on the use of contrast-enhanced ultrasound (CEUS) for diagnosing adenomyosis, a condition characterized by heavy menstrual bleeding, dysmenorrhea, and subfertility. The study involved 15 premenopausal patients with adenomyosis and one healthy control. The results showed that CEUS was a feasible technique for imaging adenomyotic uteri and revealed differences in the microvascularization between healthy and adenomyotic uteri. The authors suggest that further research is needed to confirm these findings and evaluate the diagnostic value of CEUS in diagnosing adenomyosis. [Extracted from the article]
- Published
- 2024
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- View/download PDF
34. Vascular Function Is Improved After an Environmental Enrichment Program
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Bruno, Rosa Maria, Stea, Francesco, Sicari, Rosa, Ghiadoni, Lorenzo, Taddei, Stefano, Ungar, Andrea, Bonuccelli, Ubaldo, Tognoni, Gloria, Cintoli, Simona, Del Turco, Serena, Sbrana, Silverio, Gargani, Luna, D'Angelo, Gennaro, Pratali, Lorenza, Berardi, Nicoletta, Maffei, Lamberto, Picano Eugenio, on behalf of Train the Brain Consortium. Full list of consortium members: Maffei L, Picano E, Andreassi MG, Angelucci A, Baldacci F, Baroncelli L, Begenisic T, Bellinvia PF, Berardi N, Biagi L, Bonaccorsi J, Bonanni E, Bonuccelli U, Borghini A, Braschi C, Broccardi M, Bruno RM, Caleo M, Carlesi C, Carnicelli L, Cartoni G, Cecchetti L, Cenni MC, Ceravolo R, Chico L, Cintoli S, Cioni G, Costa M, D’Angelo G, D’Ascanio P, De Nes M, Del Turco S, Di Coscio E, Di Galante M, di Lascio N, Faita F, Falorni I, Faraguna U, Fenu A, Fortunato L, Franco R, Gargani L, Gargiulo R, Ghiadoni L, Giorgi FS, Iannarella R, Iofrida C, Kusmic C, Limongi F, Maestri M, Maffei M, Maggi S, Mainardi M, Mammana L, Marabotti A, Mariotti V, Melissari E, Mercuri A, Molinaro S, Narducci R, Navarra T, Noale M, Pagni C, Palumbo S, Pasquariello R, Pellegrini S, Pietrini P, Pizzorusso T, Poli A, Pratali L, Retico A, Ricciardi E, Rota G, Sale A, Sbrana S, Scabia G, Scali M, Scelfo D, Sicari R, Siciliano G, Stea F, Taddei S, Tognoni G, Tonacci A, Tosetti M, Turchi S, Volpi L, Bruno, Rosa Maria, Stea, Francesco, Sicari, Rosa, Ghiadoni, Lorenzo, Taddei, Stefano, Ungar, Andrea, Bonuccelli, Ubaldo, Tognoni, Gloria, Cintoli, Simona, Del Turco, Serena, Sbrana, Silverio, Gargani, Luna, D'Angelo, Gennaro, Pratali, Lorenza, Berardi, Nicoletta, Maffei, Lamberto, Picano, Eugenio, on behalf of Train the Brain Consortium., Full list of consortium members: Maffei L, Picano, E, Andreassi, Mg, Angelucci, A, Baldacci, F, Baroncelli, L, Begenisic, T, Bellinvia, Pf, Berardi, N, Biagi, L, Bonaccorsi, J, Bonanni, E, Bonuccelli, U, Borghini, A, Braschi, C, Broccardi, M, Bruno, Rm, Caleo, M, Carlesi, C, Carnicelli, L, Cartoni, G, Cecchetti, L, Cenni, Mc, Ceravolo, R, Chico, L, Cintoli, S, Cioni, G, Costa, M, D’Angelo, G, D’Ascanio, P, De Nes, M, Del Turco, S, Di Coscio, E, Di Galante, M, di Lascio, N, Faita, F, Falorni, I, Faraguna, U, Fenu, A, Fortunato, L, Franco, R, Gargani, L, Gargiulo, R, Ghiadoni, L, Giorgi, F, Iannarella, R, Iofrida, C, Kusmic, C, Limongi, F, Maestri, M, Maffei, M, Maggi, S, Mainardi, M, Mammana, L, Marabotti, A, Mariotti, V, Melissari, E, Mercuri, A, Molinaro, S, Narducci, R, Navarra, T, Noale, M, Pagni, C, Palumbo, S, Pasquariello, R, Pellegrini, S, Pietrini, P, Pizzorusso, T, Poli, A, Pratali, L, Retico, A, Ricciardi, E, Rota, G, Sale, A, Sbrana, S, Scabia, G, Scali, M, Scelfo, D, Sicari, R, Siciliano, G, Stea, F, Taddei, S, Tognoni, G, Tonacci, A, Tosetti, M, Turchi, S, and Volpi, L
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Male ,control groups ,medicine.medical_specialty ,Brachial Artery ,Pulse Wave Analysis ,030204 cardiovascular system & hematology ,03 medical and health sciences ,endothelial progenitor cell ,0302 clinical medicine ,cognitive dysfunction ,Internal medicine ,medicine.artery ,Internal Medicine ,medicine ,human ,Brachial artery ,Cognitive decline ,humans ,Pulse wave velocity ,Aged ,endothelial progenitor cells ,Aged, 80 and over ,Environmental enrichment ,business.industry ,control group ,Area under the curve ,Neuropsychology ,Brain ,vascular stiffness ,Cognition ,Middle Aged ,medicine.disease ,Exercise Therapy ,Vasodilation ,Cross-Sectional Studies ,Cardiovascular Diseases ,Cardiology ,Female ,Endothelium, Vascular ,Alzheimer's disease ,business ,030217 neurology & neurosurgery - Abstract
Environmental enrichment may slow cognitive decay possibly acting through an improvement in vascular function. Aim of the study was to assess the effects of a 7-month cognitive, social, and physical training program on cognitive and vascular function in patients with mild cognitive impairment. In a single-center, randomized, parallel-group study, 113 patients (age, 65–89 years) were randomized to multidomain training (n=55) or usual care (n=58). All participants underwent neuropsychological tests and vascular evaluation, including brachial artery flow-mediated dilation, carotid–femoral pulse wave velocity, carotid distensibility, and assessment of circulating hematopoietic CD34+ and endothelial progenitor cells. At study entry, an age-matched control group (n=45) was also studied. Compared with controls, patients had at study entry a reduced flow-mediated dilation (2.97±2.14% versus 3.73±2.06%; P =0.03) and hyperemic stimulus (shear rate area under the curve, 19.1±15.7 versus 25.7±15.1×10 −3 ; P =0.009); only the latter remained significant after adjustment for confounders ( P =0.03). Training improved Alzheimer disease assessment scale cognitive (training, 14.0±4.8 to 13.1±5.5; nontraining, 12.1±3.9 to 13.2±4.8; P for interaction visit×training=0.02), flow-mediated dilation (2.82±2.19% to 3.40±1.81%, 3.05±2.08% to 2.24±1.59%; P =0.006; P =0.023 after adjustment for diameter and shear rate area under the curve), and circulating hematopoietic CD34 + cells and prevented the decline in carotid distensibility (18.4±5.3 to 20.0±6.6, 23.9±11.0 to 19.5±7.1 Pa −1 ; P =0.005). The only clinical predictor of improvement of cognitive function after training was established hypertension. There was no correlation between changes in measures of cognitive and vascular function. In conclusion, a multidomain training program slows cognitive decline, especially in hypertensive individuals. This effect is accompanied by improved systemic endothelial function, mobilization of progenitor CD34 + cells, and preserved carotid distensibility. Clinical Trial Registration— URL: http://www.clinicaltrials.gov . Unique identifier: NCT01725178.
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- 2018
35. Is a quantitative analysis of dynamic contrast-enhanced MRI of added value for prostate cancer diagnosis?
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Turco, S., primary, Dinis Fernandes, C., additional, Miclea, R., additional, Schoot, I.G., additional, Noojien, P., additional, Van Der Linden, H., additional, Barentsz, J., additional, Heijmink, S., additional, Wijkstra, H., additional, and Mischi, M., additional
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- 2021
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36. Deep learning for prostate and zonal segmentation on a multicenter MRI dataset
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Dinis Fernandes, C., primary, Błach, H., additional, Barentsz, J.O., additional, Heijmink, S.W.T.P.J., additional, Wijkstra, H., additional, Mischi, M., additional, and Turco, S., additional
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- 2021
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37. Prostate cancer localization by 3D multiparametric contrast-ultrasound dispersion imaging and shear-wave elastography
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Chen, P., primary, Turco, S., additional, Wijkstra, H., additional, Dilo, A., additional, Huang, P., additional, and Mischi, M., additional
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- 2021
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38. A Model-based Approach to Generating Annotated Pressure Support Waveforms
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van Diepen, A., primary, Bakkes, T. H. G. F., additional, De Bie, A. J. R., additional, Turco, S., additional, Bouwman, R. A., additional, Woerlee, P. H., additional, and Mischi, M., additional
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- 2021
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39. Cardiac miRNAs were involved in the regulation of pathophysiological mechanisms underlying HF in pediatric patients after ventricular assist device implantation
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Ragusa, R, primary, Di Molfetta, A, additional, Del Turco, S, additional, Basta, G, additional, Rizzo, M, additional, Mercatanti, A, additional, Pitto, L, additional, Amodeo, A, additional, Trivella, M.G, additional, and Caselli, C, additional
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- 2021
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40. Acute effects of different degrees of ultra-endurance exercise on systemic inflammatory responses
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Comassi, M., Vitolo, E., Pratali, L., Del Turco, S., Dellanoce, C., Rossi, C., Santini, E., and Solini, A.
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- 2015
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41. In vitro neutron irradiation of glioma and endothelial cultured cells
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Menichetti, L., Gaetano, L., Zampolli, A., Del Turco, S., Ferrari, C., Bortolussi, S., Stella, S., Altieri, S., Salvadori, P.A., and Cionini, L.
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- 2009
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42. Comparative Rates of Transfer of Lipid-Linked Oligosaccharides to Endogenous Glycoprotein Acceptors in vitro
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Turco, S. J., Stetson, B., and Robbins, P. W.
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- 1977
43. Death occurred due to undiagnosed systemic amyloidosis: a case report.
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Turco, S., Lazzari, J., Manetti, A. C., Maiese, A., Bugelli, V., Emdin, M., Aimo, A., and Di Paolo, M.
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AMYLOIDOSIS ,PROTEIN folding ,ARTHRITIS ,CARDIAC arrest ,HISTOLOGY - Abstract
Amyloidosis is a disorder related to errors in protein folding. We present a clinical case of systemic amyloidosis manifesting as hypotension, tachycardia, pain, weight loss, asthenia, anorexia, dysphagia, and mood deflection in a 49-year-old-year-old woman with a previous clinical history of articular and muscular pain, correlated to suspected seronegative arthritis. The blood test revealed kidney insufficiency, an electrocardiogram identified low voltages of the peripheral leads and T waves anomalies. A serum protein electrophoresis revealed the presence of high levels of monoclonal kappa free chains. The woman started to have a sense of suffocation, and after one week she was found dead in her bed. After the autopsy, the results of Congo red staining of the myocardium were characteristic of amyloid. According to the autoptic and the histological examination, death occurred due to acute cardiac and respiratory arrest secondary to amyloid cardiomyopathy in a patient with undiagnosed systemic amyloidosis. [ABSTRACT FROM AUTHOR]
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- 2022
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44. First report of Erysiphe corylacearum causing powdery mildew on Corylus avellana in Spain
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Mazzaglia, A., primary, Drais, M.I., additional, Turco, S., additional, Silvestri, C., additional, Cristofori, V., additional, Aymami, A., additional, Casadó, V., additional, and Rovira, M., additional
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- 2021
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45. A Model-Based Approach to Synthetic Data Set Generation for Patient-Ventilator Waveforms for Machine Learning and Educational Use
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Diepen, A. van, Bakkes, T.H.G.F., de Bie, A.J.R., Turco, S., Bouwman, R.A., Woerlee, P.H., Mischi, M., Biomedical Diagnostics Lab, Bayesian Intelligent Autonomous Systems, Signal Processing Systems, Eindhoven MedTech Innovation Center, Center for Care & Cure Technology Eindhoven, Electrical Engineering, and EAISI Health
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FOS: Computer and information sciences ,Computer Science - Machine Learning ,Computer Vision and Pattern Recognition (cs.CV) ,cs.LG ,Computer Science - Computer Vision and Pattern Recognition ,cs.CV ,Machine Learning (cs.LG) - Abstract
Although mechanical ventilation is a lifesaving intervention in the ICU, it has harmful side-effects, such as barotrauma and volutrauma. These harms can occur due to asynchronies. Asynchronies are defined as a mismatch between the ventilator timing and patient respiratory effort. Automatic detection of these asynchronies, and subsequent feedback, would improve lung ventilation and reduce the probability of lung damage. Neural networks to detect asynchronies provide a promising new approach but require large annotated data sets, which are difficult to obtain and require complex monitoring of inspiratory effort. In this work, we propose a model-based approach to generate a synthetic data set for machine learning and educational use by extending an existing lung model with a first-order ventilator model. The physiological nature of the derived lung model allows adaptation to various disease archetypes, resulting in a diverse data set. We generated a synthetic data set using 9 different patient archetypes, which are derived from measurements in the literature. The model and synthetic data quality have been verified by comparison with clinical data, review by a clinical expert, and an artificial intelligence model that was trained on experimental data. The evaluation showed it was possible to generate patient-ventilator waveforms including asynchronies that have the most important features of experimental patient-ventilator waveforms.
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- 2021
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46. The IBEX-Lo Sensor
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Fuselier, S. A., Bochsler, P., Chornay, D., Clark, G., Crew, G. B., Dunn, G., Ellis, S., Friedmann, T., Funsten, H. O., Ghielmetti, A. G., Googins, J., Granoff, M. S., Hamilton, J. W., Hanley, J., Heirtzler, D., Hertzberg, E., Isaac, D., King, B., Knauss, U., Kucharek, H., Kudirka, F., Livi, S., Lobell, J., Longworth, S., Mashburn, K., McComas, D. J., Möbius, E., Moore, A. S., Moore, T. E., Nemanich, R. J., Nolin, J., O’Neal, M., Piazza, D., Peterson, L., Pope, S. E., Rosmarynowski, P., Saul, L. A., Scherrer, J. R., Scheer, J. A., Schlemm, C., Schwadron, N. A., Tillier, C., Turco, S., Tyler, J., Vosbury, M., Wieser, M., Wurz, P., and Zaffke, S.
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- 2009
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47. The Interstellar Boundary Explorer High Energy (IBEX-Hi) Neutral Atom Imager
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Funsten, H. O., Allegrini, F., Bochsler, P., Dunn, G., Ellis, S., Everett, D., Fagan, M. J., Fuselier, S. A., Granoff, M., Gruntman, M., Guthrie, A. A., Hanley, J., Harper, R. W., Heirtzler, D., Janzen, P., Kihara, K. H., King, B., Kucharek, H., Manzo, M. P., Maple, M., Mashburn, K., McComas, D. J., Moebius, E., Nolin, J., Piazza, D., Pope, S., Reisenfeld, D. B., Rodriguez, B., Roelof, E. C., Saul, L., Turco, S., Valek, P., Weidner, S., Wurz, P., and Zaffke, S.
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- 2009
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48. Improved MLVA typing reveals a highly articulated structure in Pseudomonas syringae pv. actinidiae populations
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Mazzaglia, A., primary, Turco, S., additional, Taratufolo, M.C., additional, Tatì, M., additional, Rahi, Y. Jundi, additional, Gallipoli, L., additional, and Balestra, G.M., additional
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- 2021
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49. Association of kidney disease measures with risk of renal function worsening in patients with type 1 diabetes 11 Medical and Health Sciences 1103 Clinical Sciences
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Mirijello, A, Viazzi, F, Fioretto, P, Giorda, C, Ceriello, A, Russo, G, Guida, P, Pontremoli, R, De Cosmo, S, Cimino, A, Fava, D, Meloncelli, I, Nicolucci, A, Pellegrini, F, Rossi, M, Turco, S, Vespasiani, G, Graziano, G, Lucisano, G, Memmo, R, Pellicciotta, E, Paciotti, V, Pupillo, M, Armentano, G, Giovannini, C, Armentano, V, Laudato, M, Acquati, S, Ciardullo, A, Laffi, G, Felace, G, Taboga, C, Tortul, C, Santantonio, G, Suraci, C, Ghisoni, G, Raffa, M, Genovese, S, Lovagnini-Scher, C, Rampini, P, Rocca, A, Ruggeri, P, Tortato, E, Cotti, L, Cristofaro, M, Tagliaferri, M, Comoglio, M, Fornengo, R, Gentile, F, Gigante, A, Mastinu, F, Di Benedetto, A, Pata, P, Arcangeli, A, Orsini, P, Acler, P, De Blasi, G, Cicioni, G, Pocciati, S, Marangoni, A, Nogara, A, Lanero, M, Bertero, M, Damassino, R, Bergonzini, C, Schumtz, L, Seksich, L, Pipitone, A, Boaretto, M, Manfroi, I, Parmesan, L, Conte, B, Soccol, F, Pagano, A, Papini, E, Rinaldi, R, Petrucci, L, Graziano, F, Chianelli, M, Silvagni, S, Rosco, M, Ansaldi, E, Malvicino, F, Battezzati, M, Maresca, P, Palenzona, C, Boemi, M, Rabini, R, Brandoni, G, Lanari, L, Gatti, C, Testa, I, Cherubini, V, Doveri, G, Pecorelli, L, Ciccarelli, A, Gallardini, M, Courthoud, R, Sara Bredy, S, Ricciardi, G, Vitalone, G, Setti, D, Contrini, P, Corsi, A, Ghigliotti, V, Oddone, G, Ponzani, P, Valbonesi, G, Mazzini, V, Di Berardino, P, Colleluori, P, Montani, V, Trosini, V, Velussi, M, Alfidi, P, Verdecchia, B, Baliva, L, Di Pietro, A, Franchi, G, Luce, R, Pianta, A, Ferrari, M, Balzano, S, Beltranello, G, Dal Fabbro, S, Arico, C, Cervo, L, Zanon, R, Rossa, S, Di Pace, M, Ciavarella, A, Giangiulio, S, Grimaldi, M, Mustacchio, A, Fattor, B, Monauni, T, Cristini, M, Orion, G, Crazzolara, D, Amor, F, Eisath, J, Lintner, S, Garavelli, S, Calari, T, Marini, P, Sandri, O, Scala, M, Stroppa, C, Trentin, A, Carlin, R, Carli, B, Sandona, M, Zortea, C, Bonet, L, Pradel, L, Reato, S, Buschini, M, Bonfiglioli, D, Mones, D, Beldi, F, Morea, A, Bondesan, L, Perbellini, S, Valentini, U, Agosti, B, Corsini, R, Girelli, A, Zarra, E, Rocca, L, Bergmann, M, Pradi, I, Unterkircher, S, Piok, M, Pichler, M, Trinchera, A, Palama, G, Palma, P, Carboni, L, Murtas, M, Mudadu, T, Turco, M, Floris, M, Delogu, A, Farris, L, Songini, M, Piras, G, Seguro, R, Floris, R, Corona, G, Lai, M, Piras, E, Contini, P, Cocco, S, Pilosu, R, Sannia, M, Spanu, F, Busciantella Ricci, N, Cartechini, M, Agostinelli, G, Fiorelli, C, Nuzzi, A, Ballauri, C, Lesina, A, Romeo, F, Giudici, G, Maciejewska, E, Deroma, A, Paduano, M, Rossi, L, Vagnini, C, Dolci, M, Mori, M, Baccetti, F, Gregori, G, Straface, E, Pozzuoli, G, Barone, M, Stasio, G, Tondini, S, Borgoni, F, Grosso, J, Scarsellato, C, Sciulli, A, De Marco, F, Confortin, L, Marin, N, Lamonica, M, Gialdino, S, Borzi, V, Gatta, C, Rapisard, R, Strano, S, Calabro, M, Puccio, L, Zolli, M, Coracina, A, Starnone, V, Del Buono, A, Terracciano, A, Monda, M, Castro, F, Guaglianone, A, Maccari, V, Corsi, L, Versari, G, Falivene, M, Boletto, N, Corsi, S, Marafetti, L, Vitacolonna, E, Capani, F, Caputo, L, Di Nisio, L, Simonetti, F, Boscolo Bariga, A, Ballarin, G, De Boni, S, Di Benedetto, S, Chiambretti, A, Di Vito, L, Pascuzzo, M, Urli, P, Rumi, P, Balzarini, B, Galli, P, Castellan, M, Giannetti, A, Russotti, C, De Blasi, A, Perna, A, Campanelli, C, Ranchelli, A, Biccheri, D, Dadi, G, Massa, L, Baldi, G, Sciacca, F, Costanzo, E, Spada, M, Paolini, G, Ziller, P, Portolan, F, Pasolini, G, Ghilardi, G, Fiorina, P, Grata, M, Capretti, L, Speroni, G, Fugazza, L, Massafra, C, Lovagnini Scher, A, Cimicchi, M, Percudani, C, Risolo, T, Sacco, P, Gidoni Guarnieri, G, Piccolo, D, Bravin, C, De Noni, E, Scarpel, M, Marcon, M, Giacon, F, Panebianco, G, Tadiotto, F, Da Tos, V, D'Ambrosio, M, Pellizzola, D, Zampini, M, Frezzati, E, Mari, E, Raminelli, E, Gaiti, D, Bosi, E, Chierici, G, Pilla, S, Copelli, M, Zanichelli, P, Bertelli, L, Caretta, P, Vezzani, V, Bodecchi, S, Longobucco, A, Di Lembo, S, Spotti, E, Carrai, E, Degli Innocenti, A, Manini, L, Persico, R, Rossi, C, Magro, G, Marelli, G, Vilei, V, Andrioli, M, Bellato, L, Fedeli, M, Merlini, A, Pinelli, G, Marin, G, Contin, M, Gallo, A, Parlato, P, Pecchielan, W, Jacovacci, J, Placentino, G, Richini, D, Molinari, S, Strazzeri, R, Fabbri, T, Di Bartolo, P, Garrapa, G, D'Incau, F, Lagomanzini, P, Conte, P, Todesco, F, Foglini, P, Pantanetti, P, Bedetta, C, Maricotti, R, Tomasi, F, Monesi, M, Graziani, R, Beretta, F, Penna, L, Guberti, A, Dazzi, D, Forte, E, Gasbarrone, A, Marrocco, T, Moschetta, R, Tuccinardi, F, De Meo, F, Coppola, A, Pirolozzi, P, Placitelli, E, Vallefuoco, R, Catone, B, Ceschia, S, Urban, M, Fabbri, F, Torresani, M, Crovetto, R, Battistini, M, Carosia, P, Viviani, G, Durante, A, Pais, F, Lilliu, V, Quieto, C, D'Ugo, E, Squadrone, M, Amenduni, T, Iovannisci, M, Della Penna, L, Potente, F, Delle Donne, T, Massa, C, Ulisse, M, De Berardinis, S, Guarnieri, I, Pace, S, Splendiani, M, Di Giuseppe, R, Brunato, B, Assaloni, R, Muraro, R, Loro, R, Bucciol, S, Lavacca, C, Sabbatini, G, Quadri, F, Sambuco, L, Santacroce, C, Paola Caretta, D, Marino, C, Micheletti, A, Petrelli, A, Corda, A, Pisano, L, Guaita, G, Deias, C, Trevisan, G, Coletti, I, Iannarelli, R, De Luca, A, Minnucci, A, Antenucci, D, Di Florio, C, Angelicola, G, Bosco, A, Fresco, R, Di Marco, G, Ugolotti, D, Cadossi, T, Di Caro, P, Mazzocchetti, M, Buzzetti, R, Leto, G, Gnessi, C, Cipolloni, L, Foffi, C, Moretti, C, Venditti, C, Meniconi, R, Bertoli, S, Cosimi, S, Di Cianni, G, Turco, A, Richini, A, Marconi, S, Sannino, C, Lemmi, P, Giuntoli, S, Manfre, N, Giannini, F, Di Carlo, A, Casadidio, I, Melandri, P, Maolo, G, Polenta, B, Piccinini, N, Vincenti, C, Pastore, N, Mega, P, Magurano, E, Cananiello, A, Francescutto, C, Brussa Toi, E, Gaspardo, G, Angeli, L, Ronchese, L, Sciangula, L, Ciucci, A, Contartese, A, Banfi, E, Castelli, E, Tatti, P, Bloise, D, Di Mauro, P, Masselli, L, Lo Presti, A, Scarpitta, A, Gambina, F, Venezia, A, Morea, R, Lagonigro, G, Copeta, G, Iannucci, V, Milano, V, Trupo, M, Lochmann, A, Marchetto, P, Incelli, G, De Paola, G, Steiger, M, Gamper, M, Breitenberger, S, Holzner, M, Frischmann, J, Lambiase, C, Di Vece, T, D'Aniello, M, Fezza, M, Giordano, C, Leo, F, Saitta, G, Cucinotta, D, Di Vieste, G, Pintaudi, B, Mancuso, T, Musacchio, N, Giancaterini, A, Pessina, L, Salis, G, Schivalocchi, F, Testori, G, Cerutti, N, Morpugo, P, Cavaletto, M, Bonino, G, Morreale, F, Mariani, G, Ragonesi, P, Bollati, P, Colapinto, P, Falqui, L, Bortolato, L, Cosma, A, Pistolato, P, Centenaro, B, Ceccato, A, Campobasso, G, Zaurino, F, Mazzotta, G, Manti, R, Da Ros, R, Carlucci, S, Narduzzi, L, Bortolotto, D, D'Acunto, L, Stanic, L, Volpi, A, Cospite, A, Manicardi, V, Michelini, M, Finardi, L, Borghi, F, Manicardi, E, Lombardi, S, Tommasi, C, Iaccarino, M, Cozza, S, Binotto, M, Marini, F, Mecenero, I, Massignani, S, Stecco, P, Urbani, E, Massariol, W, Parolin, R, Gatti, A, Bonavita, M, Creso, E, Giannettino, R, Gobbo, M, Iovine, C, 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G., Di Perna P., D'Accinni M. P., Paolucci D., D'Ubaldi A., D'Angelo M. T., Masaro G., Pietrantoni M., Fratini M., La Rosa R., Poggi M., Piccirilli F., Pisano R., Saponara C., Conforti I., Penza A., Scalpone R., Lo Pinto S., Iacovella L., Caccamo C., Sposito S., Teodonio C., Restuccia M. G., Mirto G., Girardello R., Gennaro R., De Moliner L., Bettini E., Mattuzzi A., Speese K., Frisinghelli F., Locatelli F., Nicoletti M., Trojan N., Centis R., L Volsi P., Levis E., Zanette G., Comba G., Ballatore L., Cattaneo A., Aglialoro A., Guido R., Patrone M., Zecchini M., Clementi L., Galetta M., Marconi V., Bordin P., Perale L., Vinci C., Sira Zanon M., Geretto L., Toffolo C., Furlan M. G., Mazzanti G., Vinci M., Sica V., Armeni M., Derai R., Ennas O., Mamusa S., Pisano M. A., Carreras L., Rauseo A., Cervone S., Leggieri A., Pontonio M., Sturaro R., Quattrocchi F., Molinaro M., Trasatti M., Ferretti B., Labarile G., Baule G. M., Gentilini A., Spanu M. A., Fancellu A., Bianco P., Lione L., Massazza G., Bocchio G., Bosco E., Monachesi M., Carta G., Boschetti M., Ceresola E., Venier E., Calcaterra F., Cataldi F., Miola M., Manfrini S., Lai A., Locci B., Putzu D., Tanganelli I., Leonini M., Egger K., Marchiotto W., Vincis L., Orlandini V., Pilloni C., Farci R., Pelligra I., Renier G., Mameli M., Pala A., Devigus E., Fumagalli I., Lalli C., Leandri M., Agliani M., De Pascalis L., Malci F., De Ciocchis A., Diodati M. B., Macerola B., Davi S., Caccavale A., Brocato L., Pognant Gros M., Borla S., Lattanzi E., Piersanti C., Piersanti A., Spinelli I., Tuzzoli L., Tulini V., Quaranta G., Iorio V., Tirabovi M., De Terlizi C., Massarelli M. G., Venturi S., Travaglini A., Draghi P., Pomante P., Richiardi L., Clerico A., Bruno A., Cavallo Perin P., Ghigo E., Porta M., Scuntero P., Arcari R., Bertaina S., Bo S., Broglio F., Bruno G., Degiovanni M., Fornengo P., Grassi G., Inglese V., Maccario M., Maghenzani G., Marena S., Martina V., Passera P., Ruiu G., Tagliabue M., Zanone M., Monge M., Boffano G. M., Macri K., Maio P., Ozzello A., Pergolizzi E., Gaia D., Gennari P., Micali G., Rossetto E., Dalmazzo C., Oreglia M., Stefani T., Dossena C., Paglia P., Bosoni S., Romanelli T., Inchiostro S., Dauriz M., Bossi C. A., Meregalli G., Balini A., Berzi D., Filippini B., Crotto G., Paccagnella A., Orrasch M., Sambataro M., Citro T., Kiwanuka E., Bagolin E., Almoto B., Macchia A., Branca M. T., Filesi M., Candido R., Caroli E., Manca E., Petrucco A., Tommasi E., Jagodnik G., Baskar B., Daris N., Dal Col P., Pellegrini M. A., Tonutti L., Venturini G., Andreani M., Turchi F., Fedrighelli F., Martinelli G., Rongioletti R., Candidi M., Pais M., Moro E., Cervellino F., Sinisi R., Zampino A., Mingardi R., Lora L., Reitano R., Stocchiero C., Simoncini M., Mesturino C. A., Zen F., Di Pietro S., Scoponi C., Tilaro L., Pelliccioni S., Slongo R., Vita E., Garofalo A., Vitale F., Campanella B., Mastrilli V., Borrelli T., D'Avino A., Perbellini A., Mirijello, A, Viazzi, F, Fioretto, P, Giorda, C, Ceriello, A, Russo, G, Guida, P, Pontremoli, R, De Cosmo, S, Cimino, A, Fava, D, Meloncelli, I, Nicolucci, A, Pellegrini, F, Rossi, M, Turco, S, Vespasiani, G, Graziano, G, Lucisano, G, Memmo, R, Pellicciotta, E, Paciotti, V, Pupillo, M, Armentano, G, Giovannini, C, Armentano, V, Laudato, M, Acquati, S, Ciardullo, A, Laffi, G, Felace, G, Taboga, C, Tortul, C, Santantonio, G, Suraci, C, Ghisoni, G, Raffa, M, Genovese, S, Lovagnini-Scher, C, Rampini, P, Rocca, A, Ruggeri, P, Tortato, E, Cotti, L, Cristofaro, M, Tagliaferri, M, Comoglio, M, Fornengo, R, Gentile, F, Gigante, A, Mastinu, F, Di Benedetto, A, Pata, P, Arcangeli, A, Orsini, P, Acler, P, De Blasi, G, Cicioni, G, Pocciati, S, Marangoni, A, Nogara, A, Lanero, M, Bertero, M, Damassino, R, Bergonzini, C, Schumtz, L, Seksich, L, Pipitone, A, Boaretto, M, Manfroi, I, Parmesan, L, Conte, B, Soccol, F, Pagano, A, Papini, E, Rinaldi, R, Petrucci, L, Graziano, F, Chianelli, M, Silvagni, S, Rosco, M, Ansaldi, E, Malvicino, F, Battezzati, M, Maresca, P, Palenzona, C, Boemi, M, Rabini, R, Brandoni, G, Lanari, L, Gatti, C, Testa, I, Cherubini, V, Doveri, G, Pecorelli, L, Ciccarelli, A, Gallardini, M, Courthoud, R, Sara Bredy, S, Ricciardi, G, Vitalone, G, Setti, D, Contrini, P, Corsi, A, Ghigliotti, V, Oddone, G, Ponzani, P, Valbonesi, G, Mazzini, V, Di Berardino, P, Colleluori, P, Montani, V, Trosini, V, Velussi, M, Alfidi, P, Verdecchia, B, Baliva, L, Di Pietro, A, Franchi, G, Luce, R, Pianta, A, Ferrari, M, Balzano, S, Beltranello, G, Dal Fabbro, S, Arico, C, Cervo, L, Zanon, R, Rossa, S, Di Pace, M, Ciavarella, A, Giangiulio, S, Grimaldi, M, Mustacchio, A, Fattor, B, Monauni, T, Cristini, M, Orion, G, Crazzolara, D, Amor, F, Eisath, J, Lintner, S, Garavelli, S, Calari, T, Marini, P, Sandri, O, Scala, M, Stroppa, C, Trentin, A, Carlin, R, Carli, B, Sandona, M, Zortea, C, Bonet, L, Pradel, L, Reato, S, Buschini, M, Bonfiglioli, D, Mones, D, Beldi, F, Morea, A, Bondesan, L, Perbellini, S, Valentini, U, Agosti, B, Corsini, R, Girelli, A, Zarra, E, Rocca, L, Bergmann, M, Pradi, I, Unterkircher, S, Piok, M, Pichler, M, Trinchera, A, Palama, G, Palma, P, Carboni, L, Murtas, M, Mudadu, T, Turco, M, Floris, M, Delogu, A, Farris, L, Songini, M, Piras, G, Seguro, R, Floris, R, Corona, G, Lai, M, Piras, E, Contini, P, Cocco, S, Pilosu, R, Sannia, M, Spanu, F, Busciantella Ricci, N, Cartechini, M, Agostinelli, G, Fiorelli, C, Nuzzi, A, Ballauri, C, Lesina, A, Romeo, F, Giudici, G, Maciejewska, E, Deroma, A, Paduano, M, Rossi, L, Vagnini, C, Dolci, M, Mori, M, Baccetti, F, Gregori, G, Straface, E, Pozzuoli, G, Barone, M, Stasio, G, Tondini, S, Borgoni, F, Grosso, J, Scarsellato, C, Sciulli, A, De Marco, F, Confortin, L, Marin, N, Lamonica, M, Gialdino, S, Borzi, V, Gatta, C, Rapisard, R, Strano, S, Calabro, M, Puccio, L, Zolli, M, Coracina, A, Starnone, V, Del Buono, A, Terracciano, A, Monda, M, Castro, F, Guaglianone, A, Maccari, V, Corsi, L, Versari, G, Falivene, M, Boletto, N, Corsi, S, Marafetti, L, Vitacolonna, E, Capani, F, Caputo, L, Di Nisio, L, Simonetti, F, Boscolo Bariga, A, Ballarin, G, De Boni, S, Di Benedetto, S, Chiambretti, A, Di Vito, L, Pascuzzo, M, Urli, P, Rumi, P, Balzarini, B, Galli, P, Castellan, M, Giannetti, A, Russotti, C, De Blasi, A, Perna, A, Campanelli, C, Ranchelli, A, Biccheri, D, Dadi, G, Massa, L, Baldi, G, Sciacca, F, Costanzo, E, Spada, M, Paolini, G, Ziller, P, Portolan, F, Pasolini, G, Ghilardi, G, Fiorina, P, Grata, M, Capretti, L, Speroni, G, Fugazza, L, Massafra, C, Lovagnini Scher, A, Cimicchi, M, Percudani, C, Risolo, T, Sacco, P, Gidoni Guarnieri, G, Piccolo, D, Bravin, C, De Noni, E, Scarpel, M, Marcon, M, Giacon, F, Panebianco, G, Tadiotto, F, Da Tos, V, D'Ambrosio, M, Pellizzola, D, Zampini, M, Frezzati, E, Mari, E, 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G, Calabrese, M, Ianni, L, Lorenzetti, M, Marsocci, A, Guizzotti, S, Memoli, G, Cabasino, F, Farci, F, Atzori, A, Sanna, A, Ghiani, M, Siotto, I, Sedda, M, Manis, A, Loddo, C, Loddo, I, Seguro, P, Cuomo, A, Orlando, L, Olanda, G, Pucci, A, Massenzo, M, Sardu, C, Perrone, G, Corazziere, F, La Puzza, I, Tripodi, P, Riggio, S, Giampaolo, A, Mannino, D, Aleandri, A, Guidi, M, Battisti, B, Faraglia, M, Lilli, V, Leotta, S, Visalli, N, Gagliardi, A, Fontana, L, Altomare, M, Carletti, S, Abbruzzese, S, Chiaramonte, F, Giordano, R, Rossini, M, Migneco, G, Cappelloni, D, Urbani, A, Piergiovanni, F, Simonetta, A, Massimiani, F, Bulzomi, R, Giuliano, M, Pennafina, M, Di Perna, P, D'Accinni, M, Paolucci, D, D'Ubaldi, A, D'Angelo, M, Masaro, G, Pietrantoni, M, Fratini, M, La Rosa, R, Poggi, M, Piccirilli, F, Pisano, R, Saponara, C, Conforti, I, Penza, A, Scalpone, R, Lo Pinto, S, Iacovella, L, Caccamo, C, Sposito, S, Teodonio, C, Restuccia, M, Mirto, G, Girardello, R, Gennaro, R, De Moliner, L, 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M, Agliani, M, De Pascalis, L, Malci, F, De Ciocchis, A, Diodati, M, Macerola, B, Davi, S, Caccavale, A, Brocato, L, Pognant Gros, M, Borla, S, Lattanzi, E, Piersanti, C, Piersanti, A, Spinelli, I, Tuzzoli, L, Tulini, V, Quaranta, G, Iorio, V, Tirabovi, M, De Terlizi, C, Massarelli, M, Venturi, S, Travaglini, A, Draghi, P, Pomante, P, Richiardi, L, Clerico, A, Bruno, A, Cavallo Perin, P, Ghigo, E, Porta, M, Scuntero, P, Arcari, R, Bertaina, S, Bo, S, Broglio, F, Bruno, G, Degiovanni, M, Fornengo, P, Grassi, G, Inglese, V, Maccario, M, Maghenzani, G, Marena, S, Martina, V, Passera, P, Ruiu, G, Tagliabue, M, Zanone, M, Monge, M, Boffano, G, Macri, K, Maio, P, Ozzello, A, Pergolizzi, E, Gaia, D, Gennari, P, Micali, G, Rossetto, E, Dalmazzo, C, Oreglia, M, Stefani, T, Dossena, C, Paglia, P, Bosoni, S, Romanelli, T, Inchiostro, S, Dauriz, M, Bossi, C, Meregalli, G, Balini, A, Berzi, D, Filippini, B, Crotto, G, Paccagnella, A, Orrasch, M, Sambataro, M, Citro, T, Kiwanuka, E, Bagolin, E, Almoto, B, Macchia, A, Branca, M, Filesi, M, Candido, R, Caroli, E, Manca, E, Petrucco, A, Tommasi, E, Jagodnik, G, Baskar, B, Daris, N, Dal Col, P, Pellegrini, M, Tonutti, L, Venturini, G, Andreani, M, Turchi, F, Fedrighelli, F, Martinelli, G, Rongioletti, R, Candidi, M, Pais, M, Moro, E, Cervellino, F, Sinisi, R, Zampino, A, Mingardi, R, Lora, L, Reitano, R, Stocchiero, C, Simoncini, M, Mesturino, C, Zen, F, Di Pietro, S, Scoponi, C, Tilaro, L, Pelliccioni, S, Slongo, R, Vita, E, Garofalo, A, Vitale, F, Campanella, B, Mastrilli, V, Borrelli, T, D'Avino, A, Perbellini, A, Mirijello A., Viazzi F., Fioretto P., Giorda C. B., Ceriello A., Russo G. T., Guida P., Pontremoli R., De Cosmo S., Cimino A., Fava D., Meloncelli I., Nicolucci A., Pellegrini F., Rossi M. C., Turco S., Vespasiani G., Graziano G., Lucisano G., Memmo R., Pellicciotta E., Paciotti V., Pupillo M., Armentano G., Giovannini C., Armentano V., Laudato M., Acquati S., Ciardullo A. V., Laffi G., Felace G., Taboga C., Tortul C., Santantonio G., Suraci C., Ghisoni G., Raffa M., Genovese S., Lovagnini-Scher C. A., Rampini P., Rocca A., Ruggeri P., Tortato E., Cotti L., Cristofaro M. R., Tagliaferri M., Comoglio M., Fornengo R., Gentile F. M., Gigante A., Mastinu F., Di Benedetto A., Pata P., Arcangeli A., Orsini P., Acler P., De Blasi G., Cicioni G., Pocciati S., Marangoni A., Nogara A., Lanero M., Bertero M. 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B., Tondini S., Borgoni F., Grosso J., Scarsellato C., Sciulli A., De Marco F., Confortin L., Marin N., Lamonica M., Gialdino S., Borzi V., Gatta C., Rapisard R., Strano S., Calabro M., Puccio L., Zolli M., Coracina A., Starnone V., Del Buono A., Terracciano A. M., Monda M. V., Castro F., Guaglianone A., Maccari V., Corsi L., Versari G., Falivene M. R., Boletto N., Corsi S., Marafetti L., Vitacolonna E., Capani F., Caputo L., Di Nisio L., Simonetti F., Boscolo Bariga A., Ballarin G., De Boni S., Di Benedetto S., Chiambretti A. M., Di Vito L., Pascuzzo M. D., Urli P., Rumi P., Balzarini B., Galli P., Castellan M., Giannetti A., Russotti C., De Blasi A., Perna A., Campanelli C., Ranchelli A., Biccheri D., Dadi G., Massa L., Baldi G. P., Sciacca F., Costanzo E., Spada M., Paolini G., Ziller P., Portolan F., Pasolini G., Ghilardi G., Fiorina P., Grata M. L., Capretti L., Speroni G., Fugazza L., Massafra C., Lovagnini Scher A., Cimicchi M. C., Percudani C., Risolo T., Sacco P., Gidoni Guarnieri G. L., Piccolo D., Bravin C., De Noni E., Scarpel M., Marcon M., Giacon F., Panebianco G., Tadiotto F., Da Tos V., D'Ambrosio M., Pellizzola D., Zampini M. A., Frezzati E., Mari E., Raminelli E., Gaiti D., Bosi E. A., Chierici G., Pilla S., Copelli M., Zanichelli P., Bertelli L., Caretta P., Vezzani V., Bodecchi S., Longobucco A., Di Lembo S., Spotti E., Carrai E., Degli Innocenti A., Manini L., Persico R., Rossi C., Magro G., Marelli G., Vilei V., Andrioli M., Bellato L., Fedeli M., Merlini A., Pinelli G., Marin G., Contin M. L., Gallo A., Parlato P., Pecchielan W., Jacovacci J., Placentino G., Richini D., Molinari S., Strazzeri R., Fabbri T., Di Bartolo P., Garrapa G., D'Incau F., Lagomanzini P., Conte P., Todesco F., Foglini P., Pantanetti P., Bedetta C., Maricotti R., Tomasi F., Monesi M., Graziani R., Beretta F., Penna L., Guberti A., Dazzi D., Forte E., Gasbarrone A., Marrocco T., Moschetta R., Tuccinardi F., De Meo F., Coppola A., Pirolozzi P., Placitelli E., Vallefuoco R., Catone B., Ceschia S., Urban M., Fabbri F., Torresani M., Crovetto R., Battistini M., Carosia P., Viviani G. L., Durante A., Pais F., Lilliu V., Quieto C., D'Ugo E., Squadrone M., Amenduni T., Iovannisci M. M., Della Penna L., Potente F., Delle Donne T., Massa C., Ulisse M. A., De Berardinis S., Guarnieri I., Pace S., Splendiani M., Di Giuseppe R., Brunato B., Assaloni R., Muraro R., Loro R., Bucciol S., Lavacca C., Rossi M., Sabbatini G., Quadri F., Sambuco L., Santacroce C., Paola Caretta D., Marino C., Micheletti A., Petrelli A., Corda A., Pisano L., Guaita G., Deias C., Trevisan G., Coletti I., Iannarelli R., De Luca A., Minnucci A., Antenucci D., Di Florio C., Angelicola G., Bosco A., Fresco R., Di Marco G., Ugolotti D., Cadossi T., Di Caro P., Mazzocchetti M., Buzzetti R., Leto G., Gnessi C., Cipolloni L., Foffi C., Moretti C., Venditti C., Meniconi R., Bertoli S., Cosimi S., Di Cianni G., Turco A., Richini A., Marconi S., Sannino C., Lemmi P., Giuntoli S., Manfre N., Giannini F., Di Carlo A., Casadidio I., Melandri P., Maolo G., Polenta B., Piccinini N., Vincenti C., Pastore N., Mega P., Magurano E., Cananiello A., Francescutto C. A., Brussa Toi E., Gaspardo G., Angeli L., Ronchese L., Sciangula L., Ciucci A., Contartese A., Banfi E., Castelli E., Tatti P., Bloise D., Di Mauro P., Masselli L., Lo Presti A., Scarpitta A. M., Gambina F., Venezia A., Morea R., Lagonigro G., Copeta G., Iannucci V., Milano V., Trupo M., Lochmann A., Marchetto P. E., Incelli G., De Paola G., Steiger M. M., Gamper M. A., Breitenberger S., Holzner M., Frischmann J., Lambiase C., Di Vece T., D'Aniello M., Fezza M., Giordano C., Leo F., Saitta G., Cucinotta D., Di Vieste G., Pintaudi B., Mancuso T., Musacchio N., Giancaterini A., Pessina L., Salis G., Schivalocchi F., Testori G., Cerutti N., Morpugo P. S., Cavaletto M. L., Bonino G., Morreale F., Mariani G., Ragonesi P. D., Bollati P., Colapinto P., Falqui L., Bortolato L., Cosma A., Pistolato P., Centenaro B., Ceccato A., Campobasso G., Zaurino F., Mazzotta G., Manti R., Da Ros R., Carlucci S., Narduzzi L., Bortolotto D., D'Acunto L., Stanic L., Volpi A., Cospite A. M., Manicardi V., Michelini M., Finardi L., Borghi F., Manicardi E., Lombardi S., Tommasi C., Iaccarino M., Cozza S., Binotto M., Marini F., Mecenero I., Massignani S., Stecco P., Urbani E., Massariol W., Parolin R., Gatti A., Bonavita M., Creso E., Giannettino R., Gobbo M., Iovine C., Riccardi G., Iazzetta N., Giannattasio C., Egione O., Galdieri S., Velotti A., Azzolina A., Annicelli G., Sorrentino T., Gaeta I., Zenari L., Bertolini L., Sorgato C., Grippaldi F., Stroppiana M., Popolizio R., Carbone N., Grasso S., Abate S., Gaggero G. C., Strazzabosco M., Brun E., Carlesi G. P., Garrone S., Cicalo A. M., Clausi C., Cau R., Manconi A., Carboni A., Angius M. F., Pinna A. A., Caria S., Filigheddu G. D., Tonolo G., Carta I., Calebich S., Burlotti C., Saglietti G., Schellino A., Madau G., Cossu M., Mulas F., Zoccheddu S., Balsanelli M., Fetonti M., Rotolo A., Sambo P., Secchi E., Angotzi M. A., Loddoni S., Brundu I., Careddu F., Becciu A., Gabriella Piras G., Novara F., Cipro F., Torchio G., Palumbo P., Bianchi A., Colucci G., La Motta G., Tiengo A., Avogaro A., Bruttomesso D., Crepaldi C., Fadini G., Guarnieri G., Lavagnini M. T., Maran A., Vedovato M., De Kreutzenberg V., Fedele D., Lapolla A., Sartore G., Bax G., Cardone C., Dalfra M. G., Masin M., Toniato R., Piarulli F., Mattina G., Fulantelli M. A., Gioia D., Conti M., Ridola G., D'Agati F., Grossi G., Zavaroni I., Dei Cas A., Franzini L., Usberti E., Antonimi M., Anelli N., Poli R., Ridolfi V., Michela M., Haddoub S., Prampolini G., Muoio A., Filippi D., Bucci F., Tardio S. M., Calderini M. C., Magotti M. G., Quarantelli C., Vernazza M. A., Carolfi A., Saracca R., Picchio E., Del Sindaco P., Spalluto A., Maggiulli L., Torreggiani V., Rastelletti S., Ugolini C., Pucci N., Magi S., Muratori S., La Penna G., Consoli A., Galeone F., Magiar A. V., Gherardini V., Moretti L., Bientinesi M., Landi L., Bernardi A., Del Prato S., Miccoli R., Bianchi C., Penno G., Venditti F., Anichini R., De Bellis A., Bruschi T., Butelli L., Gioffredi M., Gori R., Picciafuochi R., Malagoli R., Bernini A., Gelisio R., Zanon M., Del Bianco A., Bamiston A., Signorato M., Citro G., Calabrese M., Ianni L., Lorenzetti M., Marsocci A., Guizzotti S., Memoli G., Cabasino F., Farci F., Atzori A., Sanna A., Ghiani M., Siotto I., Sedda M., Manis A., Loddo C., Loddo I., Seguro P., Cuomo A., Orlando L., Olanda G. B., Pucci A., Massenzo M., Sardu C., Perrone G., Corazziere F., La Puzza I., Tripodi P. F., Riggio S., Giampaolo A., Mannino D., Aleandri A. R., Guidi M. V., Battisti B., Faraglia M. R., Lilli V., Leotta S., Visalli N., Gagliardi A., Fontana L., Altomare M., Carletti S., Abbruzzese S., Chiaramonte F., Giordano R., Rossini M., Migneco G., Cappelloni D., Urbani A., Piergiovanni F., Simonetta A., Massimiani F., Bulzomi R., Giuliano M., Pennafina M. G., Di Perna P., D'Accinni M. P., Paolucci D., D'Ubaldi A., D'Angelo M. T., Masaro G., Pietrantoni M., Fratini M., La Rosa R., Poggi M., Piccirilli F., Pisano R., Saponara C., Conforti I., Penza A., Scalpone R., Lo Pinto S., Iacovella L., Caccamo C., Sposito S., Teodonio C., Restuccia M. G., Mirto G., Girardello R., Gennaro R., De Moliner L., Bettini E., Mattuzzi A., Speese K., Frisinghelli F., Locatelli F., Nicoletti M., Trojan N., Centis R., L Volsi P., Levis E., Zanette G., Comba G., Ballatore L., Cattaneo A., Aglialoro A., Guido R., Patrone M., Zecchini M., Clementi L., Galetta M., Marconi V., Bordin P., Perale L., Vinci C., Sira Zanon M., Geretto L., Toffolo C., Furlan M. G., Mazzanti G., Vinci M., Sica V., Armeni M., Derai R., Ennas O., Mamusa S., Pisano M. A., Carreras L., Rauseo A., Cervone S., Leggieri A., Pontonio M., Sturaro R., Quattrocchi F., Molinaro M., Trasatti M., Ferretti B., Labarile G., Baule G. M., Gentilini A., Spanu M. 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A., Tonutti L., Venturini G., Andreani M., Turchi F., Fedrighelli F., Martinelli G., Rongioletti R., Candidi M., Pais M., Moro E., Cervellino F., Sinisi R., Zampino A., Mingardi R., Lora L., Reitano R., Stocchiero C., Simoncini M., Mesturino C. A., Zen F., Di Pietro S., Scoponi C., Tilaro L., Pelliccioni S., Slongo R., Vita E., Garofalo A., Vitale F., Campanella B., Mastrilli V., Borrelli T., D'Avino A., and Perbellini A.
- Abstract
Background: Albuminuria has been classically considered a marker of kidney damage progression in diabetic patients and it is routinely assessed to monitor kidney function. However, the role of a mild GFR reduction on the development of stage ≥3 CKD has been less explored in type 1 diabetes mellitus (T1DM) patients. Aim of the present study was to evaluate the prognostic role of kidney disease measures, namely albuminuria and reduced GFR, on the development of stage ≥3 CKD in a large cohort of patients affected by T1DM. Methods: A total of 4284 patients affected by T1DM followed-up at 76 diabetes centers participating to the Italian Association of Clinical Diabetologists (Associazione Medici Diabetologi, AMD) initiative constitutes the study population. Urinary albumin excretion (ACR) and estimated GFR (eGFR) were retrieved and analyzed. The incidence of stage ≥3 CKD (eGFR < 60 mL/min/1.73 m2) or eGFR reduction > 30% from baseline was evaluated. Results: The mean estimated GFR was 98 ± 17 mL/min/1.73m2 and the proportion of patients with albuminuria was 15.3% (n = 654) at baseline. About 8% (n = 337) of patients developed one of the two renal endpoints during the 4-year follow-up period. Age, albuminuria (micro or macro) and baseline eGFR < 90 ml/min/m2 were independent risk factors for stage ≥3 CKD and renal function worsening. When compared to patients with eGFR > 90 ml/min/1.73m2 and normoalbuminuria, those with albuminuria at baseline had a 1.69 greater risk of reaching stage 3 CKD, while patients with mild eGFR reduction (i.e. eGFR between 90 and 60 mL/min/1.73 m2) show a 3.81 greater risk that rose to 8.24 for those patients with albuminuria and mild eGFR reduction at baseline. Conclusions: Albuminuria and eGFR reduction represent independent risk factors for incident stage ≥3 CKD in T1DM patients. The simultaneous occurrence of reduced eGFR and albuminuria have a synergistic effect on renal function worsening.
- Published
- 2018
50. Role of post mortem CT (PMCT) in high energy traumatic deaths
- Author
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Di Paolo, M., Maiese, A., Dell'Aquila, M., Filomena, C., Turco, S., Giaconi, C., and Turillazzi, E.
- Subjects
PMCT ,Adult ,Aged, 80 and over ,Male ,autopsy ,pmct ,traumatic death ,virtopsy ,abdominal injuries ,adolescent ,adult ,aged ,aged, 80 and over ,bone and bones ,female ,forensic medicine ,forensic pathology ,histological techniques ,humans ,male ,middle aged ,tomography, x-ray computed ,wounds, nonpenetrating ,young adult ,Adolescent ,Virtopsy ,Histological Techniques ,Abdominal Injuries ,Forensic Medicine ,Middle Aged ,Wounds, Nonpenetrating ,Bone and Bones ,Young Adult ,Humans ,Female ,Autopsy ,Traumatic death ,Tomography, X-Ray Computed ,Forensic Pathology ,Aged - Abstract
Post Mortem Computed Tomography (PMCT) is being increasingly implemented in forensic field and could be an adjuvant to classic autopsies. In this study we evaluated the feasibility of complementation of conventional autopsy in trauma victims with PMCT.A total of 21 subjects, who had sustained various types of blunt high-energy trauma, were selected from the casuistry of the Section of Legal Medicine at University of Pisa: before autopsy, a PMCT examination (Toshiba Aquilion 16 CT scanner) was performed, and after the acquisition of the raw images, MPR and VR reconstructions were performed with dedicated software.PMCT is more sensitive than conventional autopsy in detecting skeletal injuries, whilst autopsy constitutes the method of choice for the detection of thoracic and abdominal visceral injuries.PMCT should be considered a useful tool in addition to conventional autopsy in evaluating trauma victims: it detects further bone fractures in body parts difficult to investigate during autopsy (i.e. posterior regions), facilitating the pathologist in the reconstruction of events and in determining the cause of death.
- Published
- 2020
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