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Factors Predicting Abnormal Liver Function Tests Induced by Graves’ Disease Alone: A Retrospective Cohort Study

机译:单独预测由Graves病引起的肝功能检查异常的因素:一项回顾性队列研究

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Abnormal liver function tests (LFTs) are often observed in patients with Graves’ disease (GD). To date, there are limited data demonstrating the factors or biochemical indexes contributing to LFT abnormalities in this patient population. The aim of this study was to explore factors predicting abnormal LFTs induced by GD alone. This was a retrospective study of 289 consecutive cases of newly diagnosed and untreated patients with GD. All patients 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, AST, ALP, γ-GTP, TBIL and DBIL abnormalities were 52.7%, 32.2%, 45.9%, 38.5%, 23.4%, 2.9%, respectively, and the number of patients 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, patients in group A had significantly higher FT3 concentration (37.5 vs 33.4 pmol/L, P = 0.009), FT4 concentration (85.7 vs 77.4 pmol/L, P = 0.002) and TRAb level (22.2 vs 17.4 IU/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 75 pmol/L and 15 IU/L, respectively, based on ROC analysis.
机译:患有Graves病(GD)的患者经常观察到异常的肝功能检查(LFT)。迄今为止,仅有有限的数据证明了该患者人群中导致LFT异常的因素或生化指标。这项研究的目的是探讨预测仅由GD引起的LFT异常的因素。这是一项对289例新诊断和未治疗的GD患者连续病例的回顾性研究。将所有患者分为LFTs异常(A组)和LFTs正常(B组)。总共发现205例(70.9%)至少1例LFT异常。其中ALT,AST,ALP,γ-GTP,TBIL和DBIL异常的发生率分别为52.7%,32.2%,45.9%,38.5%,23.4%,2.9%,并且患者数量为1至6肝变量异常分别为89、64、30、16、6和0。 Logistic回归分析用于确定导致LFT异常的预测因素。还绘制了接收器工作特性(ROC)曲线以验证预测器的准确性。在单变量分析中,A组患者的FT3浓度(37.5 vs 33.4 pmol / L,P = 0.009),FT4浓度(85.7 vs 77.4 pmol / L,P = 0.002)和TRAb水平(22.2 vs 17.4 IU / U)显着更高。与B组相比,L,P <0.001)。二元logistic回归分析确定FT4浓度较高(赔率[OR]:1.017,95%置信区间[CI]:1.005-1.030,P = 0.006)和TRAb较高值(OR:1.038,95%CI:1.013–1.064,P = 0.003)是预测异常LFT的独立危险因素。根据ROC分析,FT4和TRAb预测异常LFT的最佳临界分别为75 pmol / L和15 IU / L。

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