Regression-based Chinese norms of number connection test A and digit symbol test for diagnosing minimal hepatic encephalopathy

Author:

Zhang Peng,Gan Danan,Chi Xiaoling,Mao Dewen,Gao Yueqiu,Li Yong,Zhou Daqiao,Li Qin,Zhang Mingxiang,Lu Bingjiu,Li Fengyi,Xue Jingdong,Wang Xianbo,Du Hongbo,Li Xiaoke,Liang Yijun,Ye Yongan

Abstract

AbstractNumber connection test A (NCT-A) and digit symbol test (DST), the preferential neuropsychological tests to detect minimal hepatic encephalopathy (MHE) in China, haven’t been standardized in Chinese population. We aimed to establish the norms based on a multi-center cross-sectional study and to detect MHE in cirrhotic patients. NCT-A and DST were administered to 648 healthy controls and 1665 cirrhotic patients. The regression-based procedure was applied to develop demographically adjusted norms for NCT-A and DST based on healthy controls. Age, gender, education, and age by education interaction were all predictors of DST, while age, gender, and education by gender interaction were predictors of log10 NCT-A. The predictive equations for expected scores of NCT-A and DST were established, and Z-scores were calculated. The norm for NCT-A was set as Z ≤ 1.64, while the norm for DST was set as Z ≥ − 1.64. Cirrhotic patients with concurrent abnormal NCT-A and DST results were diagnosed with MHE. The prevalence of MHE was 8.89% in cirrhotic patients, and only worse Child–Pugh classification (P = 0.002, OR = 2.389) was demonstrated to be the risk factor for MHE. The regression-based normative data of NCT-A and DST have been developed to detect MHE in China. A significant proportion of Chinese cirrhotic patients suffered from MHE, especially those with worse Child–Pugh classification.

Funder

“111 Project” from Beijing university of Chinese medicine and Dongzhimen hospital

the Research Projects for the Business Construction of National Clinical Research Base of Traditional Chinese Medicine from the State Administration of Traditional Chinese Medicine

Publisher

Springer Science and Business Media LLC

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