Search

Background and Objectives: NutritionDay is a yearly global point-prevalence study of malnutrition or nutritional risk in hospitals. We aimed to provide a comprehensive nutritional survey of hospitalized patients and analyze the risk factors of malnutrition and prolonged hospitalization in Chinese inpatients. Methods and Study Design: The international daylong cross-sectional survey was performed on November 07th, 2019. Ten hospitals were invited to participate in this NutritionDay survey. Nutritional risk was identified by nutritional risk screening 2002, and malnutrition was identified by the ESPEN criteria. We measured the incidence of malnutrition and nutritional risk. And we analysed risk factors for malnutrition and length of stay in Chinese hospitalized patients. Results: 875 hospitalized patients from 6 departments were included in the analysis. The malnutrition rate was 11.6% and the incidence of nutritional risk was 17.8%. It was analyzed that tumor load, end-stage disease, motility, self-rated health, types of oral medicine, and food intake during the past week were independent risk factors for malnutrition or nutritional risk. 56.2% (118/210) of patients at nutritional risk or malnutrition received extra nutritional support, whereas 22.5% (88/391) well-nourished patients did. Moreover, nutrition status, ever stayed in ICU and self-rated health were associated with prolonged length of stay. Conclusions: In a word, the prevalence of malnutrition or nutritional risk was about 29.4%. Patients with malnutrition or nutritional risk had a higher transfer rate, lower rehabilitation rate and longer hospital stays. The attention to malnutrition patients needs to be further strengthened. [ABSTRACT FROM AUTHOR]

Objective: To evaluate the cutoff value of HbA1c for predicting diabetes and prediabetes in a Chinese high risk population aged over 45.Methods: A total of 619 people aged over 45 without diabetes were randomly recruited to complete Finnish Diabetes Risk Score (FINDRISC) questionnaire. 208 high-risk individuals (defined by Diabetes Risk Score >=9) had OGTT and HbA1c determined at the same time.Results: In a Chinese population aged over 45, the best cutoff value of HbA1c for detecting diabetes and prediabetes was 5.8% and 5.4% respectively. The area under the receiver operating characteristic (AUROC) curve of HbA1c for detecting diabetes was 0.85 (95% CI: 0.80-0.90) and prediabetes was 0.62 (95% CI: 0.54-0.70). The combined use of HbA1c and fasting blood glucose (FPG) had larger AUROC than HbA1c alone (0.88, 95%CI: 0.83-0.92 in detecting diabetes vs 0.75, 95% CI: 0.67-0.82 in prediabetes), and had a higher sensitivity in predicting diabetes and higher specificity and positive predictive value (PPV) in predicting prediabetes. However, the AUROC between HbA1c alone and combined use in predicting diabetes was not significantly different (p=0.173).Conclusions: FINDRISC is feasible tool to screen people who are at high risk of diabetes. The cutoff values of HbA1c to diagnose diabetes and prediabetes in a Chinese high risk population aged over 45 were 5.8% and 5.4%, respectively. The sensitivity and specificity of HbA1c for detecting diabetes and prediabetes was relatively low, so that the combined use of HbA1c and FPG may be more effective in prediction. [ABSTRACT FROM AUTHOR]