Factors predicting @entity409 tests induced by XXXX alone: a retrospective cohort study.

@entity1 @entity6571 @entity2743 @entity409 @entity854 @entity3064
@entity409 tests (LFTs) are often observed in @entity1 with @entity2743 ( @entity2743 ). To date, there are limited data demonstrating the factors or biochemical indexes contributing to @entity854 in this @entity1 population. The aim of this study was to explore factors predicting abnormal LFTs induced by @entity2743 alone. This was a retrospective study of 289 consecutive cases of newly diagnosed and untreated @entity1 with @entity2743 . All @entity1 were divided into abnormal LFTs (group A) and normal LFTs (group B). In total, 205 (70.9%) cases were found to have at least 1 LFT abnormality. Among them, the frequencies of ALT, @entity6571 , @entity3064 , y-GTP, TBIL and DBIL abnormalities were 52.7%, 32.2%, 45.9%, 38.5%, 23.4%, 2.9%, respectively, and the number of @entity1 with 1 to 6 hepatic variable abnormalities were 89, 64, 30, 16, 6 and 0, respectively. Logistic regression analysis was used to determine predictive factors contributing to abnormal LFTs. A receiver operating characteristic (ROC) curve was also plotted to verify the accuracy of predictors. In the univariate analysis, @entity1 in group A had significantly higher FT3 concentration (37.5 vs 33.4pmol/L, P=0.009), FT4 concentration (85.7 vs 77.4pmol/L, P=0.002) and TRAb level (22.2 vs 17.4IU/L, P<0.001) when compared with those in group B. Binary logistic regression analysis identified higher FT4 concentration (odds ratio [OR]: 1.017, 95% confidence interval [CI]: 1.005-1.030, P=0.006) and higher TRAb value (OR: 1.038, 95% CI:1.013-1.064, P=0.003) to be independent risk factors predicting abnormal LFTs. The optimal cutoffs for FT4 and TRAb to predict abnormal LFTs were 75pmol/L and 15IU/L, respectively, based on ROC analysis.
