The nutritional risk screening and nutritional assessment and analysis of influencing factors of nutritional risk and malnutrition in patients with acute cerebral infarction
10.3760/cma.j.issn.1673-4904.2018.08.009
- VernacularTitle: 急性脑梗死患者营养风险筛查与评估及影响因素分析
- Author:
Xinghao MA
1
;
Li ZHANG
;
Xiaoyang JIANG
;
Jiajia WANG
;
Xu ZHANG
Author Information
1. Department of Clinical Nutrition, Liu′an Hospital Affiliated to Anhui Medical University (Liu′an People′s Hospital), Anhui Liu′an 237005, China
- Publication Type:Journal Article
- Keywords:
Cerebral infarction;
Nutritional risk screening;
Assessment;
Influencing factors
- From:
Chinese Journal of Postgraduates of Medicine
2018;41(8):705-709
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the incidence rate of nutritional risk and malnutrition in patients with acute cerebral infarction, and analyze the influence factors of nutritional risk and malnutrition, so as to provide evidence for targeted nutritional intervention.
Methods:Nutritional risk screening 2002 (NRS2002), subjective global assessment (SGA) and body mass index (BMI) were applied to screen nutritional risk and assess nutritional state for hospitalized patients with acute cerebral infarction from January to October 2017, and to investigate the incidence rate of nutritional risk and malnutrition. Univariate analysis was used to analyze the relationship of nutritional risk and malnutrition with the basic information and habits of patients. Logistic regression was used to analyze the independent risk factors.
Results:The incidence rate of the nutritional risk (NRS2002 ≥ 3 scores) was 61.0% (122/200) in 200 cases of acute cerebral infarction patients. If BMI<18.5 kg/m2 was used to evaluate the nutritional deficiencies, the incidence rate of undernutrition was 8.5% (17/200). The incidence rate of malnutrition was 25.5% (51/200) using the SGA evaluation method. The univariate analysis showed that the nutritional risk was associated with age, drinking, combined infection, fluid diet, dysphagia/cough, and BMI (<18.5 kg/m2)(P<0.05 or<0.01), and the malnutrition was associated with age, combined infection, disturbance of consciousness, fluid diet, dysphagia/cough and BMI (<18.5 kg/m2) (P<0.01). Logistic regression analysis showed that the age, fluid diet were the independent risk factors for nutritional risk (P<0.05 or<0.01). The age, combined infection, fluid diet and BMI (<18.5 kg/m2) were the independent risk factors of malnutrition (P<0.05 or<0.01).
Conclusions:The incidence of nutritional risk and malnutrition in patients with acute cerebral infarction is relatively high. Nutritional risk screening and nutritional assessment should be performed at the time of admission. Early nutrition intervention should be used to prevent malnutrition and improve the prognosis of patients.
