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Long-term renal, cardiovascular, and survival outcomes in patients with obesity and chronic kidney disease following metabolic and bariatric surgery: a propensity score-matched TriNetX real-world cohort study

In brief

Bariatric surgery patients with CKD had half the rate of kidney failure

In a matched real-world cohort, 5-year kidney failure rates were 5.9% after bariatric surgery versus 11.9% without surgery; dialysis and cardiovascular events were also less common, while transplantation was more than twice as frequent. The study also found lower mortality, but residual differences between groups mean these associations do not show that surgery caused the better outcomes. Prospective studies are needed to confirm the findings.

Journal
Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery (Q1)
Published
26 August 2026
Study design
Prospective / inception cohort
Evidence level
Level 2, Moderate (CEBM 2b)
Authors
Pattharasai Kachornvitaya, Xinlei Zhu, Sergio Bardaro, Valentin Mocanu, Mélissa V Wills, Juan S Barajas-Gamboa, et al.
PMID
42816294
DOI
10.1016/j.soard.2026.08.015

Why clinicians should know about it

Abstract

BACKGROUND: Obesity accelerates the progression of chronic kidney disease (CKD) and often limits access to kidney transplantation. Although metabolic and bariatric surgery (MBS) has been associated with improvements in kidney function and cardiometabolic outcomes, evidence regarding long-term kidney failure, dialysis, transplantation, cardiovascular, and survival outcomes among patients with established CKD remains heterogeneous. OBJECTIVES: To evaluate the association between MBS and long-term renal, cardiovascular, and transplant outcomes, and all-cause mortality, in patients with obesity and CKD using a large, propensity score-matched real-world cohort. SETTINGS: Analysis of TriNetX Global Collaborative Network, a de-identified real-world database from over 140 health care organizations. METHODS: Adults (≥18 years) with severe obesity and CKD who underwent sleeve gastrectomy (SG) or Roux-en-Y gastric bypass (RYGB) between 2010 and 2020. Patients were propensity score-matched 1:1 to those without MBS based on demographics, comorbidities, baseline kidney function, and medication use. Outcomes were assessed over 5years. Primary endpoints included incidence of end-stage renal disease (ESRD), dialysis initiation, kidney transplantation, cardiovascular events, and all-cause mortality. A subgroup analysis comparing SG and RYGB was performed using propensity score matching. RESULTS: A total of 4481 MBS patients were matched to 4481 non-MBS patients, with well-balanced baseline characteristics. Compared to the non-MBS group, MBS was associated with significantly lower risks of ESRD (5.9% versus 11.9%; odds ratio [OR] .47, 95% confidence interval [CI] .40-.55), dialysis dependence (4.1% versus 9.0%; OR .43, 95% CI .36-.52), and composite cardiovascular events (15.5% versus 27.7%; OR .48, 95% CI .42-.54). Interestingly, kidney transplant rates were more than twice as high in the MBS group (4.6% versus 2.2%; OR 2.13, 95% CI 1.67-2.72), and all-cause mortality was markedly lower (5.0% versus 16.3%; OR .27, 95% CI .23-.32). In subgroup analyses, outcomes were comparable between SG and RYGB, although SG was associated with higher kidney transplantation rates. CONCLUSIONS: In this large TriNetX cohort of patients with obesity and CKD, MBS was associated with lower observed rates of ESRD, dialysis dependence, cardiovascular events, and all-cause mortality and with a higher rate of kidney transplantation. Similar renal, cardiovascular, and survival outcomes were observed after SG and RYGB. Because of residual differences in baseline kidney function, unmeasured treatment-selection factors, and limitations in the geographic and institutional characterization of the TriNetX network, these findings should be interpreted as associations within the study cohort rather than causal effects or population-level estimates. Further prospective and population-based studies are needed to confirm these associations.

Abstract as published, via PubMed.

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For healthcare professionals. The summary is generated by AI from the published abstract, and the evidence level is assigned automatically from the study design on the Oxford CEBM hierarchy. Neither is medical advice. Read the full paper before changing practice.