ObjectiveTo explore the nutritional status of inpatients with chronic kidney disease (CKD) and analyze the factors affecting nutritional risk, to provide theoretical basis for further nutritional support.MethodsConvenience sampling method was adopted to select 719 inpatients with CKD as research subjects in a tertiary hospital in Chengdu, Sichuan Province from January to March 2018. Nutritional Risk Screening 2002 was used for nutritional risk screening, and chi-square test, t test, one-way analysis of variance, and multiple linear regression analysis were used to explore the influencing factors of nutritional risk.ResultsAmong the 719 cases, whose average nutritional risk score was 1.79±1.11, 158 cases had nutritional risk, accounting for 22.0%. There were statistically significant differences in nutritional risk score between patients of age<60 years and ≥60 years, between males and females, between patients with CKD stage 1-3 and stage 4-5, between patients with serum albumin level <30 g/L and ≥30 g/L, and between patients with and without anaemia (P<0.05). The results of multiple linear regression analysis showed that the nutritional risk score of CKD patients was negatively correlated to serum albumin level (P=0.016), positively correlated to age (P<0.001), and higher in females than that in males (P=0.001).ConclusionsInpatients with CKD have a higher nutritional risk, with age, gender and serum albumin as the main influencing factors. Based on the above factors, the medical staff should continue to take targeted intervention measures to assess the nutritional status of CKD inpatients early and conveniently, so as to provide scientific basis for further nutritional support and nutritional nursing.
Objective To investigate the nutritional status of hospitalized patients with chronic kidney disease (CKD), analyze the influencing factors, and construct a predictive model to provide a localized theoretical basis and more convenient risk prediction indicators and models for clinical nutrition support and intervention treatment of CKD patients in China. Methods Convenience sampling was used to select hospitalized CKD patients from Department of Nephrology, West China Hospital, Sichuan University, from January to October 2019. General information questionnaires, the Nutritional Risk Screening 2002 scale, and the Huaxi Emotional-distress Index questionnaire were used for data collection. Single factor analyses and multiple logistic regression analysis were conducted to explore the risk factors for malnutrition in CKD hospitalized patients. A predictive model was established and evaluated using receiver operating characteristic (ROC) curve analysis and bootstrap resampling. Results A total of 1059 valid copies of questionnaires were collected out of 1118 distributed. Among the 1059 CKD hospitalized patients, 207 cases (19.5%) were identified as having nutritional risk. The multiple logistic regression analysis showed that CKD stage [odds ratio (OR)=1.874, 95% confidence interval (CI) (1.631, 2.152), P<0.001], age [OR=1.015, 95%CI (1.003, 1.028), P=0.018], and the Huaxi Emotional-distress Index [OR=1.024, 95%CI (1.002, 1.048), P=0.033] were independent risk factors for malnutrition in CKD hospitalized patients, while serum albumin [OR=0.880, 95%CI (0.854, 0.907), P<0.001] was an independent protective factor. The evaluation of the multiple logistic regression analysis predictive model showed a concordance index of 0.977, standard deviation of 0.021, and P<0.05. The area under the ROC curve was 0.977. Conclusions The prevalence of malnutrition is relatively high among CKD hospitalized patients. CKD stage, age, psychological status, and serum albumin are influencing factors for malnutrition in CKD hospitalized patients. The multiple logistic regression model based on the above indicators demonstrates good predictive performance and is expected to provide assistance for early nutritional intervention to improve the clinical outcomes and quality of life for CKD patients with malnutrition in China.