Chen Suzhen, Li Hong, Lin Xiuru, Hu Shanshan, Zhang Zhixin
Department of Hepatology, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, Fujian Province, People's Republic of China.
School of Nursing, Fujian Medical University, Fuzhou, People's Republic of China.
Risk Manag Healthc Policy. 2021 May 6;14:1823-1831. doi: 10.2147/RMHP.S299428. eCollection 2021.
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).
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/m. Nomogram model and decision tree model were developed, and the area under the receiver operating characteristic curve (AUROC) was compared.
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-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: 0.758-0.869, <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: 0842-0.930, <0.001). The difference in AUROC between these two models was not statistically significant ( <0.001).
The nomogram model and decision tree model developed in this study may aid assessing nutritional status for cirrhotic patients with HBV.
营养不良在肝硬化患者中很常见;然而,对于这一人群的营养评估尚无金标准。本研究的目的是基于客观指标开发一种针对慢性感染乙型肝炎病毒(HBV)的肝硬化患者的新型营养筛查工具。
这是一项横断面研究。招募乙型肝炎相关肝硬化患者。通过以下任何一种情况诊断营养不良:营养风险筛查2002评分大于3分、主观全面评定B级或C级以及体重指数(BMI)<18.5kg/m²。建立列线图模型和决策树模型,并比较受试者工作特征曲线下面积(AUROC)。
在231例研究病例中,92例(39%)营养不良。营养不良患者的血清白蛋白、BMI和握力水平显著较低,但血清肌酐水平和Child-Pugh分级较高。基于这些变量建立了两个模型。列线图模型的灵敏度为0.696,特异度为0.820,准确率为0.813。列线图模型的AUROC为0.813(95%CI:0.758-0.869,P<0.001)。对于决策树模型,灵敏度、特异度和准确率分别为0.761、0.885和0.886,AUROC为0.886(95%CI:0.842-0.930,P<0.001)。这两个模型之间的AUROC差异无统计学意义(P<0.001)。
本研究中开发的列线图模型和决策树模型可能有助于评估HBV肝硬化患者的营养状况。