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Start Over Author "Baragetti, Ivano" Topic chronic kidney disease
4 results on '"Baragetti, Ivano"'

1. New agents to reduce cholesterol levels: implications for nephrologists.

Author

Vecchio, Lucia Del, Baragetti, Ivano, and Locatelli, Francesco

Subjects
*BLOOD cholesterol, *CHOLESTEROL, *RNA interference, *CHRONIC kidney failure, *REDUCING agents
Abstract

Statins and ezetimibe effectively reduce the burden of cardiovascular (CV) disease in patients with chronic kidney disease (CKD). Unfortunately, many subjects still die or have CV events despite cholesterol-lowering therapy. This is particularly true in patients with more advanced CKD. Proprotein convertase subtilisin/kexin type 9 (PCSK9) is a serine protease that induces the degradation of the low-density lipoprotein receptor by targeting it for lysosomal destruction. Its inhibition causes a dramatic fall in cholesterol levels on top of maximized statin therapy. This goal is obtained with different therapeutic approaches, spanning from monoclonal antibodies to non sense oligonucleotides and silencing RNA (siRNA). Two human, monoclonal antibodies are approved for clinical use; they are still very expensive. Both agents significantly lower cholesterol levels. Evolocumab and alirocumab reduce significantly the risk for CV disease without relevant safety issues. Inclisiran is an siRNA molecule that produces PCSK9-specific RNA silencing. Data from a Phase II study showed significant cholesterol-lowering efficacy. The experience accumulated so far is limited in the CKD population. PCSK9 inhibition also has the potential to reduce the burden of CV in this subset by obtaining a much greater decrease in serum cholesterol compared with statin therapy or ezetimibe. Doubts exist that this approach will improve the outcome of dialysis patients, in whom vascular calcifications predominate. [ABSTRACT FROM AUTHOR]

Published
2020
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2. -374 T/A RAGE Polymorphism Is Associated with Chronic Kidney Disease Progression in Subjects Affected by Nephrocardiovascular Disease.

Author

Baragetti, Ivano, Norata, Giuseppe Danilo, Sarcina, Cristina, Baragetti, Andrea, Rastelli, Francesco, Buzzi, Laura, Grigore, Liliana, Garlaschelli, Katia, Pozzi, Claudio, and Catapano, Alberico Luigi

Subjects
*KIDNEY diseases, *CARDIOVASCULAR diseases, *MEDICAL genetics, *DISEASE progression, *GENETIC polymorphisms, *INFLAMMATION, *GENE expression, *THYMINE, *MEDICAL statistics, *GENETICS
Abstract

Background: Chronic kidney disease (CKD) patients present elevated advanced glycation end products (AGEs) blood levels. AGEs promote inflammation through binding to their receptor (RAGE), located on the membrane of mesangial cells, endothelial cells and macrophages. Several genetic polymorphisms influence RAGE transcription, expression and activity, including the substitution of a thymine with an adenine (T/A) in the position -374 of the gene promoter of RAGE. Our study investigates the role of -374 T/A RAGE polymorphism in CKD progression in subjects affected by nephrocardiovascular disease. Methods: 174 patients (119 males (68.4%) mean age 67.2±0.88 years; 55 females (31.6%): mean age 65.4±1.50 years) affected by mild to moderate nephrocardiovascular CKD were studied. Each subject was prospectively followed for 84 months, every 6–9 months. The primary endpoint of the study was a rise of serum creatinine concentrations above 50% of basal values or end stage renal disease. Results: Carriers of the A/A and T/A genotype presented higher plasma levels of interleukin 6 (A/A 29.5±15.83; T/A 30.0±7.89, vs T/T 12.3±5.04 p = 0.01 for both) and Macrophages chemoattractant protein 1 (A/A 347.1±39.87; T/A 411.8±48.41, vs T/T 293.5±36.20, p = 0.04 for both) than T/T subjects. Carriers of the A allele presented a faster CKD progression than wild type patients (Log-Rank test: Chi square = 6.84, p = 0,03). Cox regression showed that -374 T/A RAGE polymorphism (p = 0.037), albuminuria (p = 0.01) and LDL cholesterol (p = 0.038) were directly associated with CKD progression. HDL cholesterol (p = 0.022) and BMI (p = 0.04) were inversely related to it. No relationship was found between circulating RAGE and renal function decline. Conclusions: -374 T/A RAGE polymorphism could be associated with CKD progression and inflammation. Further studies should confirm this finding and address whether inhibiting RAGE downstream signalling would be beneficial for CKD progression. [ABSTRACT FROM AUTHOR]

Published
2013
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3. Low Plasma Lecithin: Cholesterol Acyltransferase (LCAT) Concentration Predicts Chronic Kidney Disease.

Author

Baragetti, Andrea, Ossoli, Alice, Strazzella, Arianna, Simonelli, Sara, Baragetti, Ivano, Grigore, Liliana, Pellegatta, Fabio, Catapano, Alberico L., Norata, Giuseppe Danilo, and Calabresi, Laura

Subjects
CHRONIC kidney failure, REACTIVE oxygen species, LECITHIN, GLOMERULAR filtration rate, KIDNEY diseases
Abstract

Low high-density lipoprotein-cholesterol (HDL-c) is the most remarkable lipid trait both in mild-to-moderate chronic kidney disease (CKD) patients as well as in advanced renal disease stages, and we have previously shown that reduced lecithin:cholesterol acyltransferase (LCAT) concentration is a major determinant of the low HDL phenotype. In the present study, we test the hypothesis that reduced LCAT concentration in CKD contributes to the progression of renal damage. The study includes two cohorts of subjects selected from the PLIC study: a cohort of 164 patients with CKD (NefroPLIC cohort) and a cohort of 164 subjects selected from the PLIC participants with a basal estimated glomerular filtration rate (eGFR) > 60 mL/min/1.73 m2 (PLIC cohort). When the NefroPLIC patients were categorized according to the LCAT concentration, patients in the 1st tertile showed the highest event rate at follow-up with an event hazard ratio significantly higher compared to the 3rd LCAT tertile. Moreover, in the PLIC cohort, subjects in the 1st LCAT tertile showed a significantly faster impairment of kidney function compared to subjects in the 3rd LCAT tertile. Serum from subjects in the 1st LCAT tertile promoted a higher reactive oxygen species (ROS) production in renal cells compared to serum from subjects in the third LCAT tertile, and this effect was contrasted by pre-incubation with recombinant human LCAT (rhLCAT). The present study shows that reduced plasma LCAT concentration predicts CKD progression over time in patients with renal dysfunction, and, even more striking, it predicts the impairment of kidney function in the general population. [ABSTRACT FROM AUTHOR]

Published
2020
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4. Kidney failure prediction models

Author

Ramspek, Chava L, Evans, Marie, Wanner, Christoph, Drechsler, Christiane, Chesnaye, Nicholas C, Szymczak, Maciej, Krajewska, Magdalena, Torino, Claudia, Porto, Gaetana, Hayward, Samantha, Caskey, Fergus, Dekker, Friedo W, Jager, Kitty J, van Diepen, Merel, EQUAL Study Investigators: Adamasco Cupisti, Adelia Sagliocca, Alberto Ferraro, Aleksandra Musiała, Alessandra Mele, Alessandro Naticchia, Alex Còsaro, Alistair Woodman, Andrea Ranghino, Andrea Stucchi, Andreas Jonsson, Andreas Schneider, Angelo Pignataro, Anita Schrander, Anke Torp, Anna McKeever, Anna Szymczak, Anna-Lena Blom, Antonella De Blasio, Antonello Pani, Aris Tsalouichos, Asad Ullah, Barbara McLaren, Bastiaan van Dam, Beate Iwig, Bellasi Antonio, Biagio Raffaele Di Iorio, Björn Rogland, Boris Perras, Butti Alessandra, Camille Harron, Carin Wallquist, Carl Siegert, Carla Barrett, Carlo Gaillard, Carlo Garofalo, Cataldo Abaterusso, Charles Beerenhout, Charlotte O'Toole, Chiara Somma, Christian Marx, Christina Summersgill, Christof Blaser, Claudia D'alessandro, Claudia Emde, Claudia Zullo, Claudio Pozzi, Colin Geddes, Cornelis Verburgh, Daniela Bergamo, Daniele Ciurlino, Daria Motta, Deborah Glowski, Deborah McGlynn, Denes Vargas, Detlef Krieter, Domenico Russo, Dunja Fuchs, Dympna Sands, Ellen Hoogeveen, Ellen Irmler, Emöke Dimény, Enrico Favaro, Eva Platen, Ewelina Olczyk, Ewout Hoorn, Federica Vigotti, Ferruccio Ansali, Ferruccio Conte, Francesca Cianciotta, Francesca Giacchino, Francesco Cappellaio, Francesco Pizzarelli, Fredrik Sundelin, Fredrik Uhlin, Gaetano Greco, Geena Roy, Gaetana Porto, Giada Bigatti, Giancarlo Marinangeli, Gianfranca Cabiddu, Gillian Hirst, Giordano Fumagalli, Giorgia Caloro, Giorgina Piccoli, Giovanbattista Capasso, Giovanni Gambaro, Giuliana Tognarelli, Giuseppe Bonforte, Giuseppe Conte, Giuseppe Toscano, Goffredo Del Rosso, Gunilla Welander, Hanna Augustyniak-Bartosik, Hans Boots, Hans Schmidt-Gürtler, Hayley King, Helen McNally, Hendrik Schlee, Henk Boom, Holger Naujoks, Houda Masri-Senghor, Hugh Murtagh, Hugh Rayner, Ilona Miśkowiec-Wiśniewska, Ines Schlee, Irene Capizzi, Isabel Bascaran Hernandez, Ivano Baragetti, Jacek Manitius, Jane Turner, Jan-Willem Eijgenraam, Jeroen Kooman, Joachim Beige, Joanna Pondel, Joanne Wilcox, Jocelyn Berdeprado, Jochen Röthele, Jonathan Wong, Joris Rotmans, Joyce Banda, Justyna Mazur, Kai Hahn, Kamila Jędrzejak, Katarzyna Nowańska, Katja Blouin, Katrin Neumeier, Kirsteen Jones, Kirsten Anding-Rost, Knut-Christian Gröntoft, Lamberto Oldrizzi, Lesley Haydock, Liffert Vogt, Lily Wilkinson, Loreto Gesualdo, Lothar Schramm, Luigi Biancone, Łukasz Nowak, Maarten Raasveld, Magdalena Durlik, Manuela Magnano, Marc Vervloet, Marco Ricardi, Margaret Carmody, Maria Di Bari, Maria Laudato, Maria Luisa Sirico, Maria Stendahl, Maria Svensson, Maria Weetman, Marjolijn van Buren, Martin Joinson, Martina Ferraresi, Mary Dutton, Merel van Diepen, Michael Matthews, Michele Provenzano, Monika Hopf, Moreno Malaguti, Nadja Wuttke, Neal Morgan, Nicola Palmieri, Nikolaus Frischmuth, Nina Bleakley, Paola Murrone, Paul Cockwell, Paul Leurs, Paul Roderick, Pauline Voskamp, Pavlos Kashioulis, Pawlos Ichtiaris, Peter Blankestijn, Petra Kirste, Petra Schulz, Phil Mason, Philip Kalra, Pietro Cirillo, Pietro Dattolo, Pina Acampora, Rincy Sajith, Rita Nigro, Roberto Boero, Roberto Scarpioni, Rosa Sicoli, Rosella Malandra, Sabine Aign, Sabine Cäsar, Sadie van Esch, Sally Chapman, Sandra Biribauer, Santee Navjee, Sarah Crosbie, Sharon Brown, Sheila Tickle, Sherin Manan, Silke Röser, Silvana Savoldi, Silvio Bertoli, Silvio Borrelli, Siska Boorsma, Stefan Heidenreich, Stefan Melander, Stefania Maxia, Stefano Maffei, Stefano Mangano, Stephanie Palm, Stijn Konings, Suresh Mathavakkannan, Susanne Schwedler, Sylke Delrieux, Sylvia Renker, Sylvia Schättel, Szyszkowska Dorota, Teresa Cicchetti, Teresa Nieszporek, Theresa Stephan, Thomas Schmiedeke, Thomas Weinreich, Til Leimbach, Tiziana Rappa, Tora Almquist, Torsten Stövesand, Udo Bahner, Ulrika Jensen, Valentina Palazzo, Walter De Simone, Wolfgang Seeger, Ying Kuan, Zbigniew Heleniak, Zeynep Aydin, Internal Medicine, Chava L, Ramspek, Marie, Evan, Christoph, Wanner, Christiane, Drechsler, Nicholas C, Chesnaye, Maciej, Szymczak, Magdalena, Krajewska, Claudia, Torino, Gaetana, Porto, Samantha, Hayward, Fergus, Caskey, Friedo W, Dekker, Kitty J, Jager, Merel, van Diepen, Study Investigators: Adamasco Cupisti, Equal, Sagliocca, Adelia, Ferraro, Alberto, Musiała, Aleksandra, Mele, Alessandra, Naticchia, Alessandro, Còsaro, Alex, Woodman, Alistair, Ranghino, Andrea, Stucchi, Andrea, Jonsson, Andrea, Schneider, Andrea, Pignataro, Angelo, Schrander, Anita, Torp, Anke, Mckeever, Anna, Szymczak, Anna, Blom, Anna-Lena, De Blasio, Antonella, Pani, Antonello, Tsalouichos, Ari, Ullah, Asad, Mclaren, Barbara, van Dam, Bastiaan, Iwig, Beate, Antonio, Bellasi, Raffaele Di Iorio, Biagio, Rogland, Björn, Perras, Bori, Alessandra, Butti, Harron, Camille, Wallquist, Carin, Siegert, Carl, Barrett, Carla, Gaillard, Carlo, Garofalo, Carlo, Abaterusso, Cataldo, Beerenhout, Charle, O'Toole, Charlotte, Somma, Chiara, Marx, Christian, Summersgill, Christina, Blaser, Christof, D'Alessandro, Claudia, Emde, Claudia, Zullo, Claudia, Pozzi, Claudio, Geddes, Colin, Verburgh, Corneli, Bergamo, Daniela, Ciurlino, Daniele, Motta, Daria, Glowski, Deborah, Mcglynn, Deborah, Vargas, Dene, Krieter, Detlef, Russo, Domenico, Fuchs, Dunja, Sands, Dympna, Hoogeveen, Ellen, Irmler, Ellen, Dimény, Emöke, Favaro, Enrico, Platen, Eva, Olczyk, Ewelina, Hoorn, Ewout, Vigotti, Federica, Ansali, Ferruccio, Conte, Ferruccio, Cianciotta, Francesca, Giacchino, Francesca, Cappellaio, Francesco, Pizzarelli, Francesco, Sundelin, Fredrik, Uhlin, Fredrik, Greco, Gaetano, Roy, Geena, Porto, Gaetana, Bigatti, Giada, Marinangeli, Giancarlo, Cabiddu, Gianfranca, Hirst, Gillian, Fumagalli, Giordano, Caloro, Giorgia, Piccoli, Giorgina, Capasso, Giovanbattista, Gambaro, Giovanni, Tognarelli, Giuliana, Bonforte, Giuseppe, Conte, Giuseppe, Toscano, Giuseppe, Del Rosso, Goffredo, Welander, Gunilla, Augustyniak-Bartosik, Hanna, Boots, Han, Schmidt-Gürtler, Han, King, Hayley, Mcnally, Helen, Schlee, Hendrik, Boom, Henk, Naujoks, Holger, Masri-Senghor, Houda, Murtagh, Hugh, Rayner, Hugh, Miśkowiec-Wiśniewska, Ilona, Schlee, Ine, Capizzi, Irene, Bascaran Hernandez, Isabel, Baragetti, Ivano, Manitius, Jacek, Turner, Jane, Eijgenraam, Jan-Willem, Kooman, Jeroen, Beige, Joachim, Pondel, Joanna, Wilcox, Joanne, Berdeprado, Jocelyn, Röthele, Jochen, Wong, Jonathan, Rotmans, Jori, Banda, Joyce, Mazur, Justyna, Hahn, Kai, Jędrzejak, Kamila, Nowańska, Katarzyna, Blouin, Katja, Neumeier, Katrin, Jones, Kirsteen, Anding-Rost, Kirsten, Gröntoft, Knut-Christian, Oldrizzi, Lamberto, Haydock, Lesley, Vogt, Liffert, Wilkinson, Lily, Gesualdo, Loreto, Schramm, Lothar, Biancone, Luigi, Nowak, Łukasz, Raasveld, Maarten, Durlik, Magdalena, Magnano, Manuela, Vervloet, Marc, Ricardi, Marco, Carmody, Margaret, Di Bari, Maria, Laudato, Maria, Luisa Sirico, Maria, Stendahl, Maria, Svensson, Maria, Weetman, Maria, van Buren, Marjolijn, Joinson, Martin, Ferraresi, Martina, Dutton, Mary, van Diepen, Merel, Matthews, Michael, Provenzano, Michele, Hopf, Monika, Malaguti, Moreno, Wuttke, Nadja, Morgan, Neal, Palmieri, Nicola, Frischmuth, Nikolau, Bleakley, Nina, Murrone, Paola, Cockwell, Paul, Leurs, Paul, Roderick, Paul, Voskamp, Pauline, Kashioulis, Pavlo, Ichtiaris, Pawlo, Blankestijn, Peter, Kirste, Petra, Schulz, Petra, Mason, Phil, Kalra, Philip, Cirillo, Pietro, Dattolo, Pietro, Acampora, Pina, Sajith, Rincy, Nigro, Rita, Boero, Roberto, Scarpioni, Roberto, Sicoli, Rosa, Malandra, Rosella, Aign, Sabine, Cäsar, Sabine, van Esch, Sadie, Chapman, Sally, Biribauer, Sandra, Navjee, Santee, Crosbie, Sarah, Brown, Sharon, Tickle, Sheila, Manan, Sherin, Röser, Silke, Savoldi, Silvana, Bertoli, Silvio, Borrelli, Silvio, Boorsma, Siska, Heidenreich, Stefan, Melander, Stefan, Maxia, Stefania, Maffei, Stefano, Mangano, Stefano, Palm, Stephanie, Konings, Stijn, Mathavakkannan, Suresh, Schwedler, Susanne, Delrieux, Sylke, Renker, Sylvia, Schättel, Sylvia, Dorota, Szyszkowska, Cicchetti, Teresa, Nieszporek, Teresa, Stephan, Theresa, Schmiedeke, Thoma, Weinreich, Thoma, Leimbach, Til, Rappa, Tiziana, Almquist, Tora, Stövesand, Torsten, Bahner, Udo, Jensen, Ulrika, Palazzo, Valentina, De Simone, Walter, Seeger, Wolfgang, Kuan, Ying, Heleniak, Zbigniew, Aydin, Zeynep, Medical Informatics, ACS - Pulmonary hypertension & thrombosis, APH - Aging & Later Life, APH - Health Behaviors & Chronic Diseases, APH - Methodology, APH - Quality of Care, and APH - Global Health

Subjects
Male, progression of chronic renal failure, medicine.medical_specialty, Time Factors, epidemiology and outcome, 030232 urology & nephrology, Risk Assessment, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Older patients, external validation, Predictive Value of Tests, medicine, Humans, Failure risk, Clinical Epidemiology, In patient, comprehensive external validation, 030212 general & internal medicine, Statistic, Aged, Aged, 80 and over, Kidney, Models, Statistical, business.industry, External validation, General Medicine, prediction, kidney failure, Europe, prediction model, medicine.anatomical_structure, chronic kidney disease, epidemiology and outcomes, prognosis, Nephrology, Emergency medicine, Disease Progression, Kidney Failure, Chronic, Female, business, prognostic, Predictive modelling, prognosi, Cohort study
Abstract

Background Various prediction models have been developed to predict the risk of kidney failure in patients with CKD. However, guideline-recommended models have yet to be compared head to head, their validation in patients with advanced CKD is lacking, and most do not account for competing risks. Methods To externally validate 11 existing models of kidney failure, taking the competing risk of death into account, we included patients with advanced CKD from two large cohorts: the European Quality Study (EQUAL), an ongoing European prospective, multicenter cohort study of older patients with advanced CKD, and the Swedish Renal Registry (SRR), an ongoing registry of nephrology-referred patients with CKD in Sweden. The outcome of the models was kidney failure (defined as RRT-treated ESKD). We assessed model performance with discrimination and calibration. Results The study included 1580 patients from EQUAL and 13,489 patients from SRR. The average c statistic over the 11 validated models was 0.74 in EQUAL and 0.80 in SRR, compared with 0.89 in previous validations. Most models with longer prediction horizons overestimated the risk of kidney failure considerably. The 5-year Kidney Failure Risk Equation (KFRE) overpredicted risk by 10%-\18%. The four- and eight-variable 2-year KFRE and the 4-year Grams model showed excellent calibration and good discrimination in both cohorts. Conclusions Some existing models can accurately predict kidney failure in patients with advanced CKD. KFRE performed well for a shorter time frame (2 years), despite not accounting for competing events. Models predicting over a longer time frame (5 years) overestimated risk because of the competing risk of death. The Grams model, which accounts for the latter, is suitable for longer-term predictions (4 years).

Published
2021

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