Publications by authors named "Claudia S Cabrera"

Objective: To evaluate if previously found associations between low serum bilirubin concentration and kidney function decline is independent of hemoglobin and other key confounders.

Research Design And Methods: Clinical trial data from the SAVOR-TIMI 53 trial as well as the UK primary care electronic healthcare records, Clinical Practice Research Datalink (CPRD), were used to construct three cohorts of patients at risk of chronic kidney disease (CKD). The randomized clinical trial (RCT) cohort from the subset of SAVOR-TIMI 53 trial consisted of 10,555 type-2 diabetic patients with increased risk of cardiovascular disease.

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Introduction: It remains unclear whether an increased progression rate of chronic kidney disease (CKD) adds predictive information regarding cardiovascular disease (CVD) risk. The aim of this study was to evaluate the association between CKD progression, based on estimated glomerular filtration rate (eGFR) slope estimates and the risk for CVD.

Methods: We compared the updated eGFR slope calculated over multiple overlapping 2-year periods and the updated mean eGFR.

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Background: Chronic kidney disease (CKD) is highly prevalent but identification of patients at high risk for fast CKD progression before reaching end-stage renal disease in the short-term has been challenging. Whether factors associated with fast progression vary by diabetes status is also not well understood. We examined a large community-based cohort of adults with CKD to identify predictors of fast progression during the first 2 years of follow-up in the presence or absence of diabetes mellitus.

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Objective: To study the clinical characteristics related to metabolic disorders and complications in type 2 diabetes mellitus patients hospitalized in the Qingdao Endocrine and Diabetes Hospital from 2006 to 2012 in Qingdao, China.

Patient Population And Methods: Data from 14,289 (51% males) type 2 diabetes mellitus patients hospitalized between 2006 and 2012 were collected and analysed. Information on patients' demographic, anthropometric, laboratory and disease histories were extracted from electronic medical records.

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