Evidence mapPaperPMID 40909885Full record

ArticleFrontiers in nutrition2025

Correlation of the triglyceride-glucose-body mass index with all-cause and cardiovascular mortality in patients undergoing peritoneal dialysis: a retrospective cohort study.

Jinping Li, Xichao Wang, Wenyu Zhang, Na Sun, Yingying Han, Wenxiu Chang

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Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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6 authors.

Jinping LiDepartment of Nephrology, Tianjin First Central Hospital, Tianjin, China.
Xichao WangDepartment of Nephrology, Tianjin First Central Hospital, Tianjin, China.
Wenyu ZhangDepartment of Nephrology, Tianjin First Central Hospital, Tianjin, China.
Na SunDepartment of Nephrology, Tianjin First Central Hospital, Tianjin, China.
Yingying HanDepartment of Nephrology, Tianjin First Central Hospital, Tianjin, China.
Wenxiu ChangDepartment of Nephrology, Tianjin First Central Hospital, Tianjin, China.

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6 · The paper itself

Abstract

Background: The triglyceride-glucose-body mass index (TyG-BMI) is a simple indicator of insulin resistance and is linked to an elevated risk of mortality. Nevertheless, limited research has explored the associations between the TyG-BMI and all-cause and cardiovascular mortality in patients undergoing peritoneal dialysis (PD). Methods: Patients initiating PD treatment at the Tianjin First Central Hospital's Nephrology Department from July 2013 to February 2024 had triglycerides, fasting blood glucose, height, and weight measured at baseline and monthly during follow-up. TyG-BMI was calculated, dividing PD patients into high, middle, or low TyG-BMI groups using the tri-quantile method. Cox regression analysis assessed hazard ratios (HRs) for all-cause and cardiovascular mortality among these groups. A restricted cubic spline regression was used to explore the relationship between TyG-BMI and the primary and secondary outcomes. Results: A total of 865 patients were included. The mean TyG-BMI value for the entire study population was 212.27 ± 46.64. Patients in the high TyG-BMI group had a higher proportion of patients whose primary kidney disease was diabetic nephropathy and the greatest proportion of patients with comorbid diabetes mellitus. During the follow-up, 266 (30.75%) deaths occurred, with CVD being the dominant cause in 110 (41.35%) patients. Univariate and multivariate Cox regression analyses showed that middle group patients had a significantly lower risk of all-cause mortality compared to other groups. For CVD mortality, high group patients had a significantly greater hazard ratio than middle group patients, while there was no significant difference between the low and middle groups. Restricted cubic spline regression revealed a U-shaped association between TyG-BMI and all-cause mortality risk, as well as a J-shaped association with CVD mortality; inflection points were identified at 209.73 and 206.64, respectively. In the subgroup analysis, we found that higher TyG-BMI values were associated with increased all-cause and cardiovascular mortality in men, and lower TyG-BMI values were linked to elevated all-cause mortality in women. Conclusion: The TyG-BMI shows U-shaped and J-shaped relationships with all-cause and CVD mortality risk, respectively, in PD patients. Additionally, significant sex differences were observed in these associations.

Indexed as

all-cause mortalitycardiovascular mortalityinsulin resistanceperitoneal dialysistriglyceride-glucose-body mass index

Identifiers

PMID40909885
PMCPMC12404916

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