The estimated glomerular filtration rate (eGFR) is a predictor of important outcomes and its reduction has been associated with the risk of all-cause mortality in both general population and elderly patients. However while reduced renal function is common in older people, the best method for estimating GFR remains unclear, especially in an acute care setting. Most studies analyzing the accuracy of eGFR in the elderly were carried out in different heterogeneous settings. In this study, we compare the prognostic value of different formulas estimating GFR in predicting the risk of in-hospital morbidity and mortality within 3 months from discharge in elderly hospitalized patients. Data were extracted from "Registro Politerapia Società Italiana di Medicina Interna (REPOSI)". Patients with available creatinine values at hospital admission were selected and eGFR was calculated according to the different formulas: Cockcroft-Gault, Modification of Diet in Renal Disease equation, Chronic Kidney Disease Epidemiology Collaboration, Berlin Initiative Study and Full Age Spectrum. 4621 patients were included in the analysis. Among these, 4.2% and 14.2% died during hospitalization and within 3 months from discharge, respectively. eGFR > 60 ml/min/1.73 m at admission was associated with a very low risk of mortality during the hospital stay and within 90 days from discharge, while an eGFR < 60 ml/min/1.73 m was associated with unfavorable outcomes, although with a poor level of accuracy (AUC 0.60-0.66). No difference in predictive power between different equations was found. Physicians should be aware of the prognostic role of eGFR in a comprehensive assessment of elderly in-patients.
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http://dx.doi.org/10.1016/j.ejim.2018.04.001 | DOI Listing |
World J Clin Cases
January 2025
Department of Gastroenterology, Laiko General Hospital, National and Kapodistrian University of Athens, Athens 11527, Greece.
Machine learning (ML) is a type of artificial intelligence that assists computers in the acquisition of knowledge through data analysis, thus creating machines that can complete tasks otherwise requiring human intelligence. Among its various applications, it has proven groundbreaking in healthcare as well, both in clinical practice and research. In this editorial, we succinctly introduce ML applications and present a study, featured in the latest issue of the .
View Article and Find Full Text PDFCan J Kidney Health Dis
January 2025
Can Tho University of Medicine and Pharmacy, Can Tho, Vietnam.
Objectives: Chronic kidney disease (CKD) is associated with disability, low quality of life, and mortality. However, most cases are asymptomatic, often detected incidentally, or only recognized when they have progressed to the later stages with complications. The present study aimed to determine the prevalence of CKD and develop a predictive nomogram for CKD in Vietnamese adults.
View Article and Find Full Text PDFFront Immunol
December 2024
Division of Nephrology, Department of Medicine, Massachusetts General Hospital, Boston, MA, United States.
Background: Proteinuria is associated with worse allograft outcomes in kidney transplant recipients (KTRs) and treatment strategies are limited. We examined the outcomes of calcineurin inhibitor (CNI) to belatacept conversion in proteinuric KTRs.
Methods: In a pilot phase II single-arm multicenter prospective trial, we recruited adult KTRs >6 months post-kidney transplantation with an estimated glomerular filtration rate (eGFR) ≥30 ml/min/1.
Background: Patients with chronic kidney disease (CKD) have serum, bone, and vascular abnormalities presenting as chronic kidney disease-mineral bone disorder (CKD-MBD) syndrome. This study sought to identify the parameters with the greatest relative impact on progression of CKD-MBD abnormalities.
Materials And Methods: This prospective study measured 237 parameters including serum markers, clinical variables, dual-energy X-ray absorptiometry (DXA) measurements, vascular calcifications, and histomorphometric results from bone samples obtained at baseline and after 2 - 3 years.
Arch Esp Urol
December 2024
Department of Laboratory Medicine, Wenzhou People's Hospital; The Third Affiliated Hospital of Shanghai University; The Wenzhou Third Clinical College of Wenzhou Medical University, 325000 Wenzhou, Zhejiang, China.
Background: Kidney stone disease poses a significant challenge in the geriatric population. Preoperative renal function has been speculated to influence the composition of renal calculi, and consequently, the management approach. We studied the correlation between preoperative renal function and the composition of renal calculi in elderly patients, which could have implications for optimizing therapeutic strategies.
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