Wenchi Guan, Chaoqun Wu, Baihan Luo, Run Yuan, Zhongkai Liao, Chuyun Wang, Jie Huang, Xiaoying Hu , Xiang Li
{"title":"未充分研究人群中心脏移植受者术前营养风险指数与一年死亡率的关联及预测价值","authors":"Wenchi Guan, Chaoqun Wu, Baihan Luo, Run Yuan, Zhongkai Liao, Chuyun Wang, Jie Huang, Xiaoying Hu , Xiang Li","doi":"10.1016/j.clnesp.2025.09.005","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Preoperative nutritional status plays a critical role in surgical outcomes. While the Nutritional Risk Index (NRI) has prognostic value in diverse surgical cohorts, its use in heart transplantation (HTx) remains unclear in populations with limited organ donation rates and distinct post-transplant care environments.</div></div><div><h3>Methods</h3><div>This retrospective study involved patients who underwent HTx from January 2013 to December 2016. Preoperative health data were collected, NRI scores were calculated, and all-cause mortality was recorded during a one-year follow-up. The relationship between NRI and all-cause mortality at 30, 90, 180, and 360 days were analyzed using restricted cubic spline (RCS) and multivariate logistic regression models. The optimal NRI cut-off for mortality prediction was identified using the Youden index.</div></div><div><h3>Results</h3><div>A total of 186 patients were analyzed, with 15 (8.06 %) deaths recorded within 360 days. The mortality group had significantly lower NRI scores compared to the survival group (103.80 vs. 107.48). Each 1-point increase in NRI was associated with a 10 % reduction in mortality risk at 90 and 180 days (Odds ratio [OR]: 0.90, p = 0.04) and an 8 % reduction at 360 days (OR: 0.92, p = 0.05). The optimal NRI cutoffs for predicting mortality were 108.6, 105.68, 105.68, and 109.01 at 30, 90, 180, and 360 days, respectively, as determined by the Youden index.</div></div><div><h3>Conclusion</h3><div>There was a linear association between preoperative NRI and one-year mortality for patients with heart transplant. Our findings challenge conventional NRI thresholds, suggesting higher cut-offs may better stratify risk in populations with unique nutritional profiles and healthcare resource allocation patterns.</div></div>","PeriodicalId":10352,"journal":{"name":"Clinical nutrition ESPEN","volume":"70 ","pages":"Pages 77-82"},"PeriodicalIF":2.6000,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Association and predictive value of preoperative nutritional risk index with one-year mortality in heart transplant recipients from a understudied population\",\"authors\":\"Wenchi Guan, Chaoqun Wu, Baihan Luo, Run Yuan, Zhongkai Liao, Chuyun Wang, Jie Huang, Xiaoying Hu , Xiang Li\",\"doi\":\"10.1016/j.clnesp.2025.09.005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Preoperative nutritional status plays a critical role in surgical outcomes. While the Nutritional Risk Index (NRI) has prognostic value in diverse surgical cohorts, its use in heart transplantation (HTx) remains unclear in populations with limited organ donation rates and distinct post-transplant care environments.</div></div><div><h3>Methods</h3><div>This retrospective study involved patients who underwent HTx from January 2013 to December 2016. Preoperative health data were collected, NRI scores were calculated, and all-cause mortality was recorded during a one-year follow-up. The relationship between NRI and all-cause mortality at 30, 90, 180, and 360 days were analyzed using restricted cubic spline (RCS) and multivariate logistic regression models. The optimal NRI cut-off for mortality prediction was identified using the Youden index.</div></div><div><h3>Results</h3><div>A total of 186 patients were analyzed, with 15 (8.06 %) deaths recorded within 360 days. The mortality group had significantly lower NRI scores compared to the survival group (103.80 vs. 107.48). Each 1-point increase in NRI was associated with a 10 % reduction in mortality risk at 90 and 180 days (Odds ratio [OR]: 0.90, p = 0.04) and an 8 % reduction at 360 days (OR: 0.92, p = 0.05). The optimal NRI cutoffs for predicting mortality were 108.6, 105.68, 105.68, and 109.01 at 30, 90, 180, and 360 days, respectively, as determined by the Youden index.</div></div><div><h3>Conclusion</h3><div>There was a linear association between preoperative NRI and one-year mortality for patients with heart transplant. Our findings challenge conventional NRI thresholds, suggesting higher cut-offs may better stratify risk in populations with unique nutritional profiles and healthcare resource allocation patterns.</div></div>\",\"PeriodicalId\":10352,\"journal\":{\"name\":\"Clinical nutrition ESPEN\",\"volume\":\"70 \",\"pages\":\"Pages 77-82\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2025-09-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical nutrition ESPEN\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2405457725029286\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"NUTRITION & DIETETICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical nutrition ESPEN","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2405457725029286","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
Association and predictive value of preoperative nutritional risk index with one-year mortality in heart transplant recipients from a understudied population
Background
Preoperative nutritional status plays a critical role in surgical outcomes. While the Nutritional Risk Index (NRI) has prognostic value in diverse surgical cohorts, its use in heart transplantation (HTx) remains unclear in populations with limited organ donation rates and distinct post-transplant care environments.
Methods
This retrospective study involved patients who underwent HTx from January 2013 to December 2016. Preoperative health data were collected, NRI scores were calculated, and all-cause mortality was recorded during a one-year follow-up. The relationship between NRI and all-cause mortality at 30, 90, 180, and 360 days were analyzed using restricted cubic spline (RCS) and multivariate logistic regression models. The optimal NRI cut-off for mortality prediction was identified using the Youden index.
Results
A total of 186 patients were analyzed, with 15 (8.06 %) deaths recorded within 360 days. The mortality group had significantly lower NRI scores compared to the survival group (103.80 vs. 107.48). Each 1-point increase in NRI was associated with a 10 % reduction in mortality risk at 90 and 180 days (Odds ratio [OR]: 0.90, p = 0.04) and an 8 % reduction at 360 days (OR: 0.92, p = 0.05). The optimal NRI cutoffs for predicting mortality were 108.6, 105.68, 105.68, and 109.01 at 30, 90, 180, and 360 days, respectively, as determined by the Youden index.
Conclusion
There was a linear association between preoperative NRI and one-year mortality for patients with heart transplant. Our findings challenge conventional NRI thresholds, suggesting higher cut-offs may better stratify risk in populations with unique nutritional profiles and healthcare resource allocation patterns.
期刊介绍:
Clinical Nutrition ESPEN is an electronic-only journal and is an official publication of the European Society for Clinical Nutrition and Metabolism (ESPEN). Nutrition and nutritional care have gained wide clinical and scientific interest during the past decades. The increasing knowledge of metabolic disturbances and nutritional assessment in chronic and acute diseases has stimulated rapid advances in design, development and clinical application of nutritional support. The aims of ESPEN are to encourage the rapid diffusion of knowledge and its application in the field of clinical nutrition and metabolism. Published bimonthly, Clinical Nutrition ESPEN focuses on publishing articles on the relationship between nutrition and disease in the setting of basic science and clinical practice. Clinical Nutrition ESPEN is available to all members of ESPEN and to all subscribers of Clinical Nutrition.