Miwa Takao, Hanai Tatsunori, Nishimura Kayoko, Maeda Toshihide, Ogiso Yui, Imai Kenji, Suetsugu Atsushi, Takai Koji, Shiraki Makoto, Shimizu Masahito
Department of Gastroenterology/Internal Medicine, Gifu University Graduate School of Medicine, Gifu, Japan.
Center for Nutrition Support & Infection Control, Gifu University Hospital, Gifu, Japan.
JPEN J Parenter Enteral Nutr. 2022 May;46(4):858-866. doi: 10.1002/jpen.2222. Epub 2021 Aug 23.
Handgrip strength (HGS) is a simple and convenient method to assess nutrition status in patients with cirrhosis. This retrospective study aimed to investigate the utility of HGS for predicting patients with covert hepatic encephalopathy (CHE) and patients at high risk of overt hepatic encephalopathy (OHE).
We reviewed 963 patients with cirrhosis and consequently enrolled eligible 270 patients. HGS was measured using a digital grip dynamometer. CHE was diagnosed using a computer-aided neuropsychiatric test. Factors associated with CHE were estimated using the logistic regression model. Predictors associated with OHE occurrence were analyzed using the Fine-Gray competing risk regression model.
Of the 270 eligible patients, reduced HGS was observed in 102 (38%), reduced muscle mass in 107 (40%), and CHE in 53 (20%). Multivariate analysis showed that serum ammonia levels (odds ratio [OR], 2.23; 95% CI, 1.14-4.36; P = 0.014) and reduced HGS (OR, 3.68; 95% CI, 1.93-7.03; P < 0.001) were independently associated with CHE. During the median follow-up period of 24.5 months, 43 (16%) patients experienced OHE. After adjusting for possible confounding factors, multivariate analysis showed that reduced HGS (subdistribution hazard ratio, 2.36; 95% CI, 1.27-4.38; P = 0.007) was a significant predictor in the development of OHE.
Patients with reduced HGS had a higher prevalence of CHE and a higher risk for OHE occurrence than those with normal HGS. The measurement of HGS could be a simple bedside modality to stratify the patients' risk for CHE and OHE.
握力(HGS)是评估肝硬化患者营养状况的一种简单便捷的方法。这项回顾性研究旨在探讨HGS对隐匿性肝性脑病(CHE)患者及显性肝性脑病(OHE)高风险患者的预测效用。
我们回顾了963例肝硬化患者,最终纳入符合条件的270例患者。使用数字握力计测量HGS。采用计算机辅助神经精神测试诊断CHE。使用逻辑回归模型评估与CHE相关的因素。使用Fine-Gray竞争风险回归模型分析与OHE发生相关的预测因素。
在270例符合条件的患者中,102例(38%)观察到HGS降低,107例(40%)肌肉量减少,53例(20%)存在CHE。多因素分析显示,血清氨水平(比值比[OR],2.23;95%置信区间[CI],1.14 - 4.36;P = 0.014)和HGS降低(OR,3.68;95% CI,1.93 - 7.03;P < 0.001)与CHE独立相关。在24.5个月的中位随访期内,43例(16%)患者发生了OHE。在调整可能的混杂因素后,多因素分析显示HGS降低(亚分布风险比,2.36;95% CI,1.27 - 4.38;P = 0.007)是OHE发生的显著预测因素。
与HGS正常的患者相比,HGS降低的患者CHE患病率更高,发生OHE的风险也更高。测量HGS可能是一种简单的床边方法,用于对患者发生CHE和OHE的风险进行分层。