Development and Evaluation of Nutrition Screening Tool in Patients with Hepatitis B-Related Cirrhosis: A Cross-Sectional Study

• Main Authors: Chen S (Author), Li H (Author), Lin X (Author), Hu S (Author), Zhang Z (Author)
• Format: Book
• Published: Dove Medical Press, 2021-05-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Summary

Suzhen Chen,1 Hong Li,2 Xiuru Lin,3 Shanshan Hu,1 Zhixin Zhang1 1Department of Hepatology, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, Fujian Province, People&rsquo;s Republic of China; 2School of Nursing, Fujian Medical University, Fuzhou, People&rsquo;s Republic of China; 3Nursing Department, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, Fujian Province, People&rsquo;s Republic of ChinaCorrespondence: Hong LiSchool of Nursing, Fujian Medical University, Fuzhou, People&rsquo;s Republic of ChinaEmail [e-mail]: Malnutrition is common in cirrhotic patients; however, there is no gold standard for nutritional assessment for this population. The aim of this study was to develop a novel nutritional screening tool based on objective indicators for cirrhotic patients chronically infected with hepatitis B virus (HBV).Methods: This was a cross-sectional study. Patients with hepatitis B-related cirrhosis were recruited. Malnutrition was diagnosed by the presence of any of the following conditions: Nutrition Risk Screening 2002 score greater than 3 points, Subjective Global Assessment grade B or C, and body mass index (BMI) < 18.5 kg/m2. Nomogram model and decision tree model were developed, and the area under the receiver operating characteristic curve (AUROC) was compared.Results: Among the 231 studied cases, 92 (39%) were malnourished. Malnourished patients had significantly lower serum albumin, BMI and hand grip strength levels, but higher serum creatinine level and Child&ndash;Pugh grade. Two models were developed based on these variables. The nomogram model had a sensitivity of 0.696, a specificity of 0.820 and an accuracy of 0.813. The AUROC of nomogram model was 0.813 (95% CI: 0.758&ndash; 0.869, p < 0.001). For the decision tree model, the sensitivity, specificity and accuracy are 0.761, 0.885 and 0.886, respectively, with an AUROC of 0.886 (95% CI: 0842&ndash; 0.930, p < 0.001). The difference in AUROC between these two models was not statistically significant (p < 0.001).Conclusion: The nomogram model and decision tree model developed in this study may aid assessing nutritional status for cirrhotic patients with HBV.Keywords: cirrhosis, nutrition, screen, nomogram, decision tree

Item Description

1179-1594