Associations of metabolic score for insulin resistance (METS-IR) with cardiovascular mortality risk in peritoneal dialysis patients

Background Metabolic score for insulin resistance (METS-IR) is considered a simple, reliable, and cost-effective alternative indicator of insulin resistance (IR). Our study aimed to assess whether the METS-IR index was associated with an increased risk of cardiovascular (CV) death in our peritoneal dialysis (PD) cohort. Methods This observational study included 553 patients commencing PD for end-stage renal disease between 2003 and 2017, and they were divided into three groups according to the tertiles of METS-IR. The assessed predictor was the METS-IR index at enrollment. Cox proportional hazards models and competing risk analysis using the Fine-Gray models were used to analyze the association between the METS-IR index and CV mortality, with adjustments of potential confounding factors including medication use, demographic characteristics, comorbidities, PD-related data, and laboratory data. Furthermore, receiver operating characteristic (ROC) curve analysis was used to determine the exploratory cutoff value of the METS-IR index for predicting CV mortality, and the area under the ROC curve (AUC) was calculated. Results During follow-up, the crude CV mortality rate increased significantly, with 16 CV deaths (8.6%) in the first tertile of the METS-IR index, 32 CV deaths (17.4%) in the second tertile, and 41 CV deaths (22.3%) in the third tertile (p < 0.001). In the full adjusted model, patients in tertile 2 were associated with an HR of 1.90 (95% CI, 1.01–3.61) and those in tertile 3 was associated with an HR of 1.91 (95% CI, 1.03–3.55) compared with tertile 1. The exploratory cut-off point of METS-IR index was 33.3 (75.3% sensitivity and 48.3% specificity) with an AUC (95% CI) of 0.617 (0.557–0.677; p < 0.001), indicating modest discrimination. The results from the Fine-Gray model are consistent with those from the Cox model. Conclusions METS-IR can identify PD patients at high risk of CV death. However, METS-IR has limited discriminative ability in predicting CV mortality and further research is needed to validate its potential role in risk stratification.

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Journal
PLoS ONE
Published
2026-11-11
DOI
https://doi.org/10.1371/journal.pone.0349680
Primary Topic
Dialysis and Renal Disease Management
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article
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article

Associations of metabolic score for insulin resistance (METS-IR) with cardiovascular mortality risk in peritoneal dialysis patients

Shr-Mei Tsai, Chun‐Chieh Tsai, Ping‐Fang Chiu, Yao-Peng Hsieh et al.
PLoS ONE
Dialysis and Renal Disease Management
article

Associations of metabolic score for insulin resistance (METS-IR) with cardiovascular mortality risk in peritoneal dialysis patients

Shr-Mei Tsai, Chun‐Chieh Tsai, Ping‐Fang Chiu, Yao-Peng Hsieh, Yu-Jun Chang
article en

Abstract

Background Metabolic score for insulin resistance (METS-IR) is considered a simple, reliable, and cost-effective alternative indicator of insulin resistance (IR). Our study aimed to assess whether the METS-IR index was associated with an increased risk of cardiovascular (CV) death in our peritoneal dialysis (PD) cohort. Methods This observational study included 553 patients commencing PD for end-stage renal disease between 2003 and 2017, and they were divided into three groups according to the tertiles of METS-IR. The assessed predictor was the METS-IR index at enrollment. Cox proportional hazards models and competing risk analysis using the Fine-Gray models were used to analyze the association between the METS-IR index and CV mortality, with adjustments of potential confounding factors including medication use, demographic characteristics, comorbidities, PD-related data, and laboratory data. Furthermore, receiver operating characteristic (ROC) curve analysis was used to determine the exploratory cutoff value of the METS-IR index for predicting CV mortality, and the area under the ROC curve (AUC) was calculated. Results During follow-up, the crude CV mortality rate increased significantly, with 16 CV deaths (8.6%) in the first tertile of the METS-IR index, 32 CV deaths (17.4%) in the second tertile, and 41 CV deaths (22.3%) in the third tertile (p < 0.001). In the full adjusted model, patients in tertile 2 were associated with an HR of 1.90 (95% CI, 1.01–3.61) and those in tertile 3 was associated with an HR of 1.91 (95% CI, 1.03–3.55) compared with tertile 1. The exploratory cut-off point of METS-IR index was 33.3 (75.3% sensitivity and 48.3% specificity) with an AUC (95% CI) of 0.617 (0.557–0.677; p < 0.001), indicating modest discrimination. The results from the Fine-Gray model are consistent with those from the Cox model. Conclusions METS-IR can identify PD patients at high risk of CV death. However, METS-IR has limited discriminative ability in predicting CV mortality and further research is needed to validate its potential role in risk stratification.

PLoS ONEVol. 21(11)
Changhua Christian Hospital (TW)
Dialysis and Renal Disease Management
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