Prognostic significance of the C-reactive protein–triglyceride–glucose index for all-cause and cardiovascular mortality in peritoneal dialysis: a multicenter cohort study

Chronic low-grade inflammation and insulin resistance (IR) frequently coexist in peritoneal dialysis (PD) and may drive excess mortality. The C-reactive protein-triglyceride-glucose index (CTI) integrates inflammatory (CRP) and metabolic (TyG) signals, but its prognostic value in PD is unknown. In a multicenter cohort of 2,240 Chinese PD patients, CTI was assessed 3 months after PD initiation and dichotomized at the median (5.09). Mortality outcomes were tracked through May 31, 2023. Analyses used Kaplan-Meier, Cox models (with and without propensity score matching [PSM]), prespecified subgroup analyses (sex, age, BMI, diabetes, hypertension), and restricted cubic splines (RCS) for dose-response. Incremental predictive value beyond established risk factors and single markers (hs-CRP, TyG) was evaluated using C-statistics, net reclassification improvement (NRI), and integrated discrimination improvement (IDI). There were 634 deaths (314 CVD). Cox regression analysis showed that a higher CTI was an independent risk factor for all-cause mortality and CVD mortality in PD patients. After full adjustment, compared with patients with CTI < 5.09, those with CTI ≥ 5.09 had a 34% higher all-cause mortality risk (HR 1.34, 95% CI 1.07-1.68) and a 39% higher CVD mortality risk (HR 1.39, 95% CI 1.01-1.93). RCS analysis revealed an approximately linear relationship between increased CTI and the elevated risk of both adverse clinical outcomes (P for nonlinearity > 0.05). The positive association between CTI and mortality was observed in both diabetic and non-diabetic subgroups (e.g., in diabetic patients: all-cause mortality HR 1.72, 95% CI 1.13-2.61; CVD mortality HR 2.11, 95% CI 1.21-3.68), with no statistically significant interaction by diabetes status (P for interaction > 0.05). Incremental predictive analyses showed that CTI had slightly higher C-indices than hs-CRP or TyG and provided only modest improvements in discrimination and reclassification. CTI independently and approximately linearly predicts all-cause and CVD mortality in PD, with consistent associations irrespective of diabetes status. It provides only modest incremental predictive value beyond hs-CRP and TyG, but its simplicity and cost-effectiveness support its potential use as a supplementary marker for risk stratification and individualized PD care.

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Journal
Scientific Reports
Published
2025-12-24
DOI
https://doi.org/10.1038/s41598-025-32217-1
Primary Topic
Dialysis and Renal Disease Management
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article
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article

Prognostic significance of the C-reactive protein–triglyceride–glucose index for all-cause and cardiovascular mortality in peritoneal dialysis: a multicenter cohort study

Fenfen Peng, Mengting Wang, Xiaojiang Zhan, Yueqiang Wen et al.
Scientific Reports
Dialysis and Renal Disease Management
article

Prognostic significance of the C-reactive protein–triglyceride–glucose index for all-cause and cardiovascular mortality in peritoneal dialysis: a multicenter cohort study

Fenfen Peng, Mengting Wang, Xiaojiang Zhan, Yueqiang Wen, Xiaoyang Wang, Na Tian, Xiaoran Feng, Rui Chu, Wenlong Qiu, Qian Zhou, Qingdong Xu, Bin Wu, Xingming Tang, Xianfeng Wu, Ning Su, Lu Li, Juan Wu
article en

Abstract

Chronic low-grade inflammation and insulin resistance (IR) frequently coexist in peritoneal dialysis (PD) and may drive excess mortality. The C-reactive protein-triglyceride-glucose index (CTI) integrates inflammatory (CRP) and metabolic (TyG) signals, but its prognostic value in PD is unknown. In a multicenter cohort of 2,240 Chinese PD patients, CTI was assessed 3 months after PD initiation and dichotomized at the median (5.09). Mortality outcomes were tracked through May 31, 2023. Analyses used Kaplan-Meier, Cox models (with and without propensity score matching [PSM]), prespecified subgroup analyses (sex, age, BMI, diabetes, hypertension), and restricted cubic splines (RCS) for dose-response. Incremental predictive value beyond established risk factors and single markers (hs-CRP, TyG) was evaluated using C-statistics, net reclassification improvement (NRI), and integrated discrimination improvement (IDI). There were 634 deaths (314 CVD). Cox regression analysis showed that a higher CTI was an independent risk factor for all-cause mortality and CVD mortality in PD patients. After full adjustment, compared with patients with CTI < 5.09, those with CTI ≥ 5.09 had a 34% higher all-cause mortality risk (HR 1.34, 95% CI 1.07-1.68) and a 39% higher CVD mortality risk (HR 1.39, 95% CI 1.01-1.93). RCS analysis revealed an approximately linear relationship between increased CTI and the elevated risk of both adverse clinical outcomes (P for nonlinearity > 0.05). The positive association between CTI and mortality was observed in both diabetic and non-diabetic subgroups (e.g., in diabetic patients: all-cause mortality HR 1.72, 95% CI 1.13-2.61; CVD mortality HR 2.11, 95% CI 1.21-3.68), with no statistically significant interaction by diabetes status (P for interaction > 0.05). Incremental predictive analyses showed that CTI had slightly higher C-indices than hs-CRP or TyG and provided only modest improvements in discrimination and reclassification. CTI independently and approximately linearly predicts all-cause and CVD mortality in PD, with consistent associations irrespective of diabetes status. It provides only modest incremental predictive value beyond hs-CRP and TyG, but its simplicity and cost-effectiveness support its potential use as a supplementary marker for risk stratification and individualized PD care.

Scientific ReportsVol. 16(1)
Nanchang University (CN), Sun Yat-sen University (CN), Tung Wah Hospital (CN), Second Affiliated Hospital of Guangzhou Medical University (CN), Sixth Affiliated Hospital of Sun Yat-sen University (CN), Jiujiang First People's Hospital (CN), Songshan Lake Materials Laboratory (CN), Zhujiang Hospital (CN), First Affiliated Hospital of Xi'an Jiaotong University (CN), Ningxia Medical University (CN), The First Affiliated Hospital, Sun Yat-sen University (CN), Zhejiang Provincial People's Hospital (CN), Ningxia Medical University General Hospital (CN), Shanghai Sixth People's Hospital (CN), Jiangmen Central Hospital (CN), First Affiliated Hospital of Zhengzhou University (CN), Ningxia Center for Diseases Prevention and Control (CN), First Affiliated Hospital of Nanchang University (CN), Hangzhou Medical College (CN), Guangzhou Medical University (CN)
Science and Technology Department of Ningxia, National Natural Science Foundation of China
Openalex Percentile: Top 32%
Dialysis and Renal Disease Management
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