关键词: 精神障碍, 营养状况, 预测模型, 老年人, 住院患者, 护理

Abstract:

Objective To construct a nutritional risk prediction model for elderly inpatients with mental disorders,and to provide a basis for clinical nutritional status assessment. Methods Using the method of cluster sampling,584 elderly patients with mental disorders who were hospitalized in Beijing Huilongguan Hospital from June 2020 to June 2021 were divided into a good nutritional status group（152 cases） and a malnutrition risk group（129 cases） and a malnutrition group（303 cases）. The general condition questionnaire,frailty screening scale （FP）,mini-nutrition assessment scale（MNA）,simplified physical performance scale（SPPB）,the Barthel Index（BI） of daily life and Family Care Index（APGAR） for ability evaluation were used for investigation. Logistic regression analysis and Graphpad Prism software were used to draw receiver operating characteristic curve to test the model fit and prediction effect. Results The incidence of malnutrition in elderly hospitalized patients with mental disorders was 51.88%,and advanced age（OR=1.049）,frailty（OR=2.578）,and BMI（OR=0.629） were independent risk factors for malnutrition risks（P<0.534）. 0.05）,in which advanced age was the greatest risk factor for malnutrition. Advanced age（OR=1.031）,diagnosis（OR=2.150）,frailty（OR=2.485）,and physical dysfunction（OR=2.123） were independent risks of malnutrition（P<0.05）,among which frailty is the greatest risk factor for malnutrition risk to be transformed into malnutrition. The area under the receiver operating characteristic curve（AUC） of the malnutrition risk is 0.732;the Youden index is 0.388;the optimal critical value is 0.473;the sensitivity of the prediction model is 0.736;the specificity is 0.651. Regarding the ROC curve of malnutrition,AUC is 0.808;Youden index is 0.531;the best critical value is 0.581;the sensitivity of the prediction model is 0.865;the specificity is 0.667. Those indicate that the 2 prediction models are accurate and reliable. Conclusion The risk prediction model of nutritional status of hospitalized elderly patients with mental disorders constructed in this study has high accuracy,and provides a basis for risk assessment and prevention of nutritional status of elderly patients with mental disorders in hospital.

Key words: Mental Disorders, Nutritional Status, Predictive Model, Aged, Inpatients, Nursing Care