Research Progress on Risk Prediction Models of Malnutrition in Stroke Patients

本文通过对脑卒中营养不良的诊断标准、研究方法、预测因子、预测性能进行综述,总结了当前脑卒中患者营养不良风险预测模型的研究进展,旨在为构建更精准的脑卒中营养不良风险预测模型提供参考,以期为医护人员早期筛查高危人群并采取干预措施。This paper reviews the diagnostic criteria, research methods, predictors, and predictive performance of stroke malnutrition, and summarizes the current research progress of malnutrition risk prediction models for stroke patients, aiming to provide a reference for the construction of more accurate stroke malnutrition risk prediction models, in order to provide early screening of high-risk groups and take intervention measures for medical staff.

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Publication Details

Journal
Advances in Clinical Medicine
Published
2025-01-01
DOI
https://doi.org/10.12677/acm.2025.1551537
Primary Topic
Nutrition and Health in Aging
Type
article
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article

Research Progress on Risk Prediction Models of Malnutrition in Stroke Patients

茵 李
Advances in Clinical Medicine
Nutrition and Health in Aging
article

Research Progress on Risk Prediction Models of Malnutrition in Stroke Patients

茵 李
article en

Abstract

本文通过对脑卒中营养不良的诊断标准、研究方法、预测因子、预测性能进行综述,总结了当前脑卒中患者营养不良风险预测模型的研究进展,旨在为构建更精准的脑卒中营养不良风险预测模型提供参考,以期为医护人员早期筛查高危人群并采取干预措施。This paper reviews the diagnostic criteria, research methods, predictors, and predictive performance of stroke malnutrition, and summarizes the current research progress of malnutrition risk prediction models for stroke patients, aiming to provide a reference for the construction of more accurate stroke malnutrition risk prediction models, in order to provide early screening of high-risk groups and take intervention measures for medical staff.

Advances in Clinical MedicineVol. 15(05)
Zero hunger
Openalex Percentile: Top 85%
Nutrition and Health in Aging
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Research Progress on Risk Prediction Models of Malnutrition in Stroke Patients — 茵 李 · Advances in Clinical Medicine (2025) | TGRS Research Map | TGRS