Association of immunonutritional indicators with all-cause mortality in adult stroke patients

The study aimed to evaluate the relationship between immunonutritional indicators such as the systemic immune-inflammation index (SII), the Naples prognostic score (NPS), nutritional risk index (NRI), serum albumin (ALB), total cholesterol (TC) and all-cause mortality in adult stroke patients. Data were obtained from the National Health and Nutrition Examination Survey (NHANES) databases for 2005-2018. To determine mortality outcomes, participants were matched with National Death Index records until December 31, 2019. Spearman's correlation analysis and the random survival forest (RSF) were employed to assess the relationships among NPS, NRI, SII, ALB, and TC, and to determine the most predictive indicator for all-cause mortality in stroke patients. For the selected prognostic indicator, Kaplan-Meier survival analysis and Cox proportional hazards regression models were subsequently utilized to evaluate their associations with all-cause mortality in stroke patients. The study included 1076 stroke patients, with a median (IQR) age of 67 (56, 77) years. During a median follow-up of 67 months, a total of 372 (weighted 31%) stroke participants died from all causes. Among the immunonutritional indicators evaluated, NPS had the strongest predictive power for all-cause mortality in stroke patients. The Kaplan-Meier curve and Log-rank test showed that all-cause mortality was higher in the higher NPS group (3-4) compared to the lower NPS group (0-2) (P < 0.001). After adjusting for multiple potential confounders, the Cox regression model indicated that the higher NPS (3-4) group remained an independent predictor for higher all-cause mortality risk (HR = 1.89, 95% CI 1.44-2.47, P < 0.001). As a comprehensive evaluation index of inflammation and nutrition, NPS is a powerful predictor of all-cause mortality in stroke patients.

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Journal
Scientific Reports
Published
2025-04-28
DOI
https://doi.org/10.1038/s41598-025-99158-7
Citations
3
Primary Topic
Nutrition and Health in Aging
Type
article
Field-Weighted Citation Impact
3.49
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article

Association of immunonutritional indicators with all-cause mortality in adult stroke patients

Peng Wang, Fangyu Cheng, Zengwu Wang, Jae Kyun Ju et al.
3 citations
Scientific Reports
Nutrition and Health in Aging
3.49
article

Association of immunonutritional indicators with all-cause mortality in adult stroke patients

Peng Wang, Fangyu Cheng, Zengwu Wang, Jae Kyun Ju, Yueyuan Li, Kai Deng, Shangang Feng, Chunping Wang, Xinyu Zhang
article en
3 citations

Abstract

The study aimed to evaluate the relationship between immunonutritional indicators such as the systemic immune-inflammation index (SII), the Naples prognostic score (NPS), nutritional risk index (NRI), serum albumin (ALB), total cholesterol (TC) and all-cause mortality in adult stroke patients. Data were obtained from the National Health and Nutrition Examination Survey (NHANES) databases for 2005-2018. To determine mortality outcomes, participants were matched with National Death Index records until December 31, 2019. Spearman's correlation analysis and the random survival forest (RSF) were employed to assess the relationships among NPS, NRI, SII, ALB, and TC, and to determine the most predictive indicator for all-cause mortality in stroke patients. For the selected prognostic indicator, Kaplan-Meier survival analysis and Cox proportional hazards regression models were subsequently utilized to evaluate their associations with all-cause mortality in stroke patients. The study included 1076 stroke patients, with a median (IQR) age of 67 (56, 77) years. During a median follow-up of 67 months, a total of 372 (weighted 31%) stroke participants died from all causes. Among the immunonutritional indicators evaluated, NPS had the strongest predictive power for all-cause mortality in stroke patients. The Kaplan-Meier curve and Log-rank test showed that all-cause mortality was higher in the higher NPS group (3-4) compared to the lower NPS group (0-2) (P < 0.001). After adjusting for multiple potential confounders, the Cox regression model indicated that the higher NPS (3-4) group remained an independent predictor for higher all-cause mortality risk (HR = 1.89, 95% CI 1.44-2.47, P < 0.001). As a comprehensive evaluation index of inflammation and nutrition, NPS is a powerful predictor of all-cause mortality in stroke patients.

Scientific ReportsVol. 15(1)
Weifang Medical University (CN)
Good health and well-being
Openalex Percentile: Top 8%
Nutrition and Health in Aging
3.49
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