Jihui Hu , Yang Liu , Yi Zhang, Meng Zhang, Li Zhang
{"title":"脑卒中患者营养状况与死亡率/神经预后之间的关系:一项系统综述和荟萃分析。","authors":"Jihui Hu , Yang Liu , Yi Zhang, Meng Zhang, Li Zhang","doi":"10.1016/j.jstrokecerebrovasdis.2025.108398","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div>To systematically evaluate the association between Nutritional Risk Screening 2002 (NRS-2002), Controlling Nutritional Status (CONUT) score, Geriatric Nutritional Risk Index (GNRI), and 3-month mortality and poor neurological outcomes (modified Rankin Scale [mRS] ≥3) in stroke patients.</div></div><div><h3>Methods</h3><div>A systematic search of PubMed, Embase, and other databases up to April 2025 identified 11 observational studies (6 prospective cohorts; <em>n</em> = 7696). Study quality was assessed using the Newcastle-Ottawa Scale. Random-effects models were used to calculate pooled odds ratios (ORs) with 95 % confidence intervals (CIs). Heterogeneity, sensitivity, and publication bias were assessed. Meta-regression explored sources of heterogeneity. A gradient boosting classifier and Bayesian MCMC simulations were used for supplementary modeling.</div></div><div><h3>Results</h3><div>NRS-2002 ≥ 3 (OR=3.42, 95 % CI: 2.59–4.51), CONUT ≥5 (OR=3.66, 95 % CI: 2.47–5.43), and GNRI <98 (OR=2.68, 95 % CI: 1.86–3.84) were significantly associated with poor functional outcomes. These indices also predicted higher 3-month mortality: NRS-2002 ≥ 3 (OR=4.13), CONUT ≥5 (OR=3.57), GNRI <98 (OR=2.93). Heterogeneity ranged from moderate to high (I²=42.1–68.9 %). Meta-regression implicated regional and clinical factors as sources of variability. Predictive modeling (AUROC = 0.81) identified GNRI <92, age ≥75, and NIHSS as key mortality predictors, consistent with SHAP and Bayesian analyses.</div></div><div><h3>Conclusion</h3><div>Malnutrition—particularly as defined by NRS-2002 ≥ 3, CONUT ≥5, and GNRI <98—is strongly linked to early mortality and poor recovery after stroke. GNRI showed high predictive value in older patients. Integrating nutritional screening into acute stroke care may enable early, cost-effective interventions to improve outcomes.</div></div>","PeriodicalId":54368,"journal":{"name":"Journal of Stroke & Cerebrovascular Diseases","volume":"34 9","pages":"Article 108398"},"PeriodicalIF":1.8000,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Association between nutritional status and mortality/neurological outcomes in stroke patients: A systematic review and meta-analysis\",\"authors\":\"Jihui Hu , Yang Liu , Yi Zhang, Meng Zhang, Li Zhang\",\"doi\":\"10.1016/j.jstrokecerebrovasdis.2025.108398\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><div>To systematically evaluate the association between Nutritional Risk Screening 2002 (NRS-2002), Controlling Nutritional Status (CONUT) score, Geriatric Nutritional Risk Index (GNRI), and 3-month mortality and poor neurological outcomes (modified Rankin Scale [mRS] ≥3) in stroke patients.</div></div><div><h3>Methods</h3><div>A systematic search of PubMed, Embase, and other databases up to April 2025 identified 11 observational studies (6 prospective cohorts; <em>n</em> = 7696). Study quality was assessed using the Newcastle-Ottawa Scale. Random-effects models were used to calculate pooled odds ratios (ORs) with 95 % confidence intervals (CIs). Heterogeneity, sensitivity, and publication bias were assessed. Meta-regression explored sources of heterogeneity. A gradient boosting classifier and Bayesian MCMC simulations were used for supplementary modeling.</div></div><div><h3>Results</h3><div>NRS-2002 ≥ 3 (OR=3.42, 95 % CI: 2.59–4.51), CONUT ≥5 (OR=3.66, 95 % CI: 2.47–5.43), and GNRI <98 (OR=2.68, 95 % CI: 1.86–3.84) were significantly associated with poor functional outcomes. These indices also predicted higher 3-month mortality: NRS-2002 ≥ 3 (OR=4.13), CONUT ≥5 (OR=3.57), GNRI <98 (OR=2.93). Heterogeneity ranged from moderate to high (I²=42.1–68.9 %). Meta-regression implicated regional and clinical factors as sources of variability. Predictive modeling (AUROC = 0.81) identified GNRI <92, age ≥75, and NIHSS as key mortality predictors, consistent with SHAP and Bayesian analyses.</div></div><div><h3>Conclusion</h3><div>Malnutrition—particularly as defined by NRS-2002 ≥ 3, CONUT ≥5, and GNRI <98—is strongly linked to early mortality and poor recovery after stroke. GNRI showed high predictive value in older patients. Integrating nutritional screening into acute stroke care may enable early, cost-effective interventions to improve outcomes.</div></div>\",\"PeriodicalId\":54368,\"journal\":{\"name\":\"Journal of Stroke & Cerebrovascular Diseases\",\"volume\":\"34 9\",\"pages\":\"Article 108398\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2025-07-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Stroke & Cerebrovascular Diseases\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1052305725001764\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"NEUROSCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Stroke & Cerebrovascular Diseases","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1052305725001764","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
Association between nutritional status and mortality/neurological outcomes in stroke patients: A systematic review and meta-analysis
Objective
To systematically evaluate the association between Nutritional Risk Screening 2002 (NRS-2002), Controlling Nutritional Status (CONUT) score, Geriatric Nutritional Risk Index (GNRI), and 3-month mortality and poor neurological outcomes (modified Rankin Scale [mRS] ≥3) in stroke patients.
Methods
A systematic search of PubMed, Embase, and other databases up to April 2025 identified 11 observational studies (6 prospective cohorts; n = 7696). Study quality was assessed using the Newcastle-Ottawa Scale. Random-effects models were used to calculate pooled odds ratios (ORs) with 95 % confidence intervals (CIs). Heterogeneity, sensitivity, and publication bias were assessed. Meta-regression explored sources of heterogeneity. A gradient boosting classifier and Bayesian MCMC simulations were used for supplementary modeling.
Results
NRS-2002 ≥ 3 (OR=3.42, 95 % CI: 2.59–4.51), CONUT ≥5 (OR=3.66, 95 % CI: 2.47–5.43), and GNRI <98 (OR=2.68, 95 % CI: 1.86–3.84) were significantly associated with poor functional outcomes. These indices also predicted higher 3-month mortality: NRS-2002 ≥ 3 (OR=4.13), CONUT ≥5 (OR=3.57), GNRI <98 (OR=2.93). Heterogeneity ranged from moderate to high (I²=42.1–68.9 %). Meta-regression implicated regional and clinical factors as sources of variability. Predictive modeling (AUROC = 0.81) identified GNRI <92, age ≥75, and NIHSS as key mortality predictors, consistent with SHAP and Bayesian analyses.
Conclusion
Malnutrition—particularly as defined by NRS-2002 ≥ 3, CONUT ≥5, and GNRI <98—is strongly linked to early mortality and poor recovery after stroke. GNRI showed high predictive value in older patients. Integrating nutritional screening into acute stroke care may enable early, cost-effective interventions to improve outcomes.
期刊介绍:
The Journal of Stroke & Cerebrovascular Diseases publishes original papers on basic and clinical science related to the fields of stroke and cerebrovascular diseases. The Journal also features review articles, controversies, methods and technical notes, selected case reports and other original articles of special nature. Its editorial mission is to focus on prevention and repair of cerebrovascular disease. Clinical papers emphasize medical and surgical aspects of stroke, clinical trials and design, epidemiology, stroke care delivery systems and outcomes, imaging sciences and rehabilitation of stroke. The Journal will be of special interest to specialists involved in caring for patients with cerebrovascular disease, including neurologists, neurosurgeons and cardiologists.