An Investigation of the Risk Factors Associated With Anti-Tuberculosis Drug-Induced Liver Injury or Abnormal Liver Functioning in 757 Patients With Pulmonary Tuberculosis

被引:31
作者
Zhong, Tao [1 ]
Fan, Yuzheng [1 ]
Dong, Xiao-Li [2 ,3 ]
Guo, Xujun [1 ]
Wong, Ka Hing [2 ,3 ]
Wong, Wing-tak [2 ,3 ]
He, Daihai [4 ,5 ]
Liu, Shengyuan [1 ]
机构
[1] Shenzhen Nanshan Ctr Chron Dis Control, Dept TB Control & Prevent, Shenzhen, Peoples R China
[2] Hong Kong Polytech Univ, Res Inst Future Food, Kowloon, Hong Kong, Peoples R China
[3] Hong Kong Polytech Univ, Dept Appl Biol & Chem Technol, Kowloon, Hong Kong, Peoples R China
[4] Hong Kong Polytech Univ, Dept Appl Math, Kowloon, Hong Kong, Peoples R China
[5] Hong Kong Polytech Univ, Shenzhen Res Inst, Shenzhen, Peoples R China
关键词
prescription scheme; risk factor; anti-tuberculosis drug-induced liver injury; pulmonary tuberculosis; China; HEPATOTOXICITY; THERAPY; PYRAZINAMIDE;
D O I
10.3389/fphar.2021.708522
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Objectives: To identify the risk factors associated with anti-tuberculosis drug-induced liver injury (AT-DILI) or abnormal living functioning from 757 patients with pulmonary tuberculosis (TB) registered at Nanshan Center for Chronic Disease Control (Nanshan CCDC), Shenzhen, Guangdong Province, China.Design and methods: We identified 757 TB patients who met our inclusion criteria by screening the Hospital Information System (HIS) at Nanshan CCDC. Next, we identified positive cases of AT-DILI or abnormal liver functioning based on results of the first-time liver function tests (LFTs) after taking anti-TB drugs. The chi 2 test was used to relate the positive rate with a variety of factors. A logistic regression model was also used to identify statistically significant risk factors.Results: Of the 757 patients, the positive rate of AT-DILI or abnormal liver functioning was 37.9% (287/757). Univariate analysis revealed that the positive rate was 42.91% (212/494) for males and 28.52% (75/263) for females. The positive rate was significantly higher in males (p <0.001). Patients with an annual income of 9,231-13,845 USD had a significantly higher positive rate (67.35%; 33/49) than those with an income of 1,540-4616 USD (37.97%; 30/79) (p = 0.022). The most frequent prescription regime among positive cases was a 2 months supply of fixed dose combination Ethambutol Hydrochloride, Pyrazinamide, Rifampicin and Isoniazid Tablets (II) 450 mg) followed by a 4 months supply of fixed dose combination Rifampin and Isoniazid Capsules (2FDC-HRZE half/4FDC-HR) at 56.03% (144/257). The least frequent prescription regime was a 2 months supply of fixed dose combination Rifampin, Isoniazid and Pyrazinamide Capsules with Ethambutol independently followed by a 4 months supply of fixed dose combination Rifampin and Isoniazid Capsules (2FDC-HRZ + EMB/4FDC-HR) at 24.27% (25/103). The difference between these two different regimes was significant (p = 0.022). With an increase in the duration of medication, patients under various prescription regimes all showed a gradual increase in the positive rate of AT-DILI or abnormal liver functioning.Conclusion: We identified several risk factors for the occurrence of AT-DILI or abnormal liver functioning, including gender, annual income, prescription regime, dosage, and treatment time.
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页数:9
相关论文
共 29 条
[21]  
Xia Yin-Yin, 2007, Zhonghua Jiehe He Huxi Zazhi, V30, P419
[22]  
Xiao D.L., 2009, TB DIAGNOSIS TREATME
[23]   Incidence of serious side effects from first-line antituberculosis drugs among patients treated for active tuberculosis [J].
Yee, D ;
Valiquette, C ;
Pelletier, M ;
Parisien, I ;
Rocher, I ;
Menzies, D .
AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2003, 167 (11) :1472-1477
[24]   CSH guidelines for the diagnosis and treatment of drug-induced liver injury [J].
Yu, Yue-cheng ;
Mao, Yi-min ;
Chen, Cheng-wei ;
Chen, Jin-jun ;
Chen, Jun ;
Cong, Wen-ming ;
Ding, Yang ;
Duan, Zhong-ping ;
Fu, Qing-chun ;
Guo, Xiao-yan ;
Hu, Peng ;
Hu, Xi-qi ;
Jia, Ji-dong ;
Lai, Rong-tao ;
Li, Dong-liang ;
Liu, Ying-xia ;
Lu, Lun-gen ;
Ma, Shi-wu ;
Ma, Xiong ;
Nan, Yue-min ;
Ren, Hong ;
Shen, Tao ;
Wang, Hao ;
Wang, Ji-yao ;
Wang, Tai-ling ;
Wang, Xiao-jin ;
Wei, Lai ;
Xie, Qing ;
Xie, Wen ;
Yang, Chang-qing ;
Yang, Dong-liang ;
Yu, Yan-yan ;
Zeng, Min-de ;
Zhang, Li ;
Zhao, Xin-yan ;
Zhuang, Hui .
HEPATOLOGY INTERNATIONAL, 2017, 11 (03) :221-241
[25]  
Zhang J, 2019, FINANCE WEEKLY, V931, P50
[26]   Predicting Antituberculosis Drug-Induced Liver Injury Using an Interpretable Machine Learning Method: Model Development and Validation Study [J].
Zhong, Tao ;
Zhuang, Zian ;
Dong, Xiaoli ;
Wong, Ka Hing ;
Wong, Wing Tak ;
Wang, Jian ;
He, Daihai ;
Liu, Shengyuan .
JMIR MEDICAL INFORMATICS, 2021, 9 (07)
[27]  
Zhong Tao Zhong Tao, 2018, Disease Surveillance, V33, P724
[28]  
Zhu MM, 2016, CHIN PREV CONTROL CH, V24, P332, DOI DOI 10.16386/J.CJPCCD.ISSN.1004-6194.2016.05.004
[29]   Global incidence of multidrug-resistant tuberculosis [J].
Zignol, Matteo ;
Hosseini, Mehran S. ;
Wright, Abigail ;
Lambregts-van Weezenbeek, Catharina ;
Nunn, Paul ;
Watt, Catherine J. ;
Williams, Brian G. ;
Dye, Christopher .
JOURNAL OF INFECTIOUS DISEASES, 2006, 194 (04) :479-485