Background: Surrogate end points are needed to assess whether treatments are effective in the early stages of CKD. GFR decline leads to kidney failure, but regulators have not approved using differences in the change in GFR from the beginning to the end of a randomized, controlled trial as an end point in CKD because it is not clear whether small changes in the GFR slope will translate to clinical benefits.
Methods: To assess the use of GFR slope as a surrogate end point for CKD progression, we performed a meta-analysis of 47 RCTs that tested 12 interventions in 60,620 subjects. We estimated treatment effects on GFR slope (mean difference in GFR slope between the randomized groups), for the total slope starting at baseline, chronic slope starting at 3 months after randomization, and on the clinical end point (doubling of serum creatinine, GFR<15 ml/min per 1.73 m, or ESKD) for each study. We used Bayesian mixed-effects analyses to describe the association of treatment effects on GFR slope with the clinical end point and to test how well the GFR slope predicts a treatment's effect on the clinical end point.
Results: Across all studies, the treatment effect on 3-year total GFR slope (median =0.97; 95% Bayesian credible interval [BCI], 0.78 to 1.00) and on the chronic slope ( 0.96; 95% BCI, 0.63 to 1.00) accurately predicted treatment effects on the clinical end point. With a sufficient sample size, a treatment effect of 0.75 ml/min per 1.73 m/yr or greater on total slope over 3 years or chronic slope predicts a clinical benefit on CKD progress with at least 96% probability.
Conclusions: With large enough sample sizes, GFR slope may be a viable surrogate for clinical end points in CKD RCTs.
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http://dx.doi.org/10.1681/ASN.2019010007 | DOI Listing |
Am J Physiol Heart Circ Physiol
December 2024
Cardiovascular Research Institute, Icahn School of Medicine at Mount Sinai, New York, NY.
Background: Chronic kidney disease (CKD) is on the rise, and over 50% of patients die from cardiac causes. Patients develop heart failure due to unelucidated reno-cardiac interactions, termed type 4 cardiorenal syndrome (CRS4). The aim of this study is to establish and characterize a reliable model of CRS4 in swine with marked cardiac diastolic dysfunction.
View Article and Find Full Text PDFUrologiia
May 2024
Institute of Urology and Reproductive Health, FGAOU VO I.M. Sechenov First Moscow State Medical University, Moscow, Russia.
Nephrol Dial Transplant
November 2024
Renal Division, Department of Medicine, Peking University First Hospital, Beijing China; Institute of Nephrology, Peking University, Beijing, China; Key Laboratory of Renal Disease, Ministry of Health of China, Beijing, China; Key Laboratory of Chronic Kidney Disease Prevention and Treatment (Peking University), Ministry of Education, Beijing, China.
Background And Hypothesis: The long-term prognosis of IgA nephropathy (IgAN) and the optimal target for proteinuria treatment remain controversial. This study, utilizing a large prospective cohort from China, aims to assess the long-term outcomes of IgAN and to explore the definition of proteinuria remission.
Methods: We enrolled 2 141 patients with biopsy-proven IgAN, all with at least 12 months of follow-up, from a prospective IgAN cohort at Peking University First Hospital.
BMC Nephrol
November 2024
Department of Nephrology, People's Hospital of Ningxiang City, Ningxiang City, Hunan Province, China.
Objective: This meta-analysis was designed to investigate cardio-renal outcomes and safety of sodium-glucose cotransporter-2 inhibitors (SGLT2i) as a therapeutic option among chronic kidney disease(CKD) patients with GFR < 60 mL/min/1.73 m2, regardless of their diabetic status.
Method: We conducted a full-scale search from MEDLINE, EMBASE and the Cochrane Library database to identify eligible studies up to Jun 2024.
J Clin Med
October 2024
Department of Internal Medicine, University of Medicine and Pharmacy "Grigore T. Popa", 700115 Iași, Romania.
kidney transplant recipients are exposed to multiple pathogenic pathways that may alter short and long-term allograft survival. Metabolomic profiling is useful for detecting potential biomarkers of kidney disease with a predictive capacity. This field is still under development in kidney transplantation and metabolome analysis is faced with analytical challenges.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!