Chinese Journal of Pharmacovigilance ›› 2020, Vol. 17 ›› Issue (8): 461-464.
DOI: 10.19803/j.1672-8629.2020.08.03

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Tentative Study of Risk Factors of Hematological Toxicity Induced by Azathioprine

LIN Yanfang1, SU Songsen2, ZHOU Hong1, CAI Lili1, HONG Lei1, LIN Zhiqiang1,*   

  1. 1Department of Pharmacy, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou Fujian 362000, China;
    2Department of Rheumatology, Quanzhou Hospital Affiliated to Fujian Medical University, Quanzhou Fujian 362000, China
  • Received:2020-07-31 Revised:2020-07-31 Online:2020-08-15 Published:2020-07-31
  • Supported by:
    福建省自然科学基金项目(2017J01351):基于TPMT基因多态性与血浆代谢组学的硫唑嘌呤所致毒性的预测; 福建医科大学启航基金(2016QH086):硫唑嘌呤血液学毒性预测模型的研究

Abstract: Objective To explore the risk factors of hematological toxicity induced by azathioprine drugs via a logistic model and ROC curve. Methods Related information about patients was collected from the HIS system of our hospital, and SPSS 22.0 software was used for statistical analysis. Results A total of 70 patients with rheumatism were included, 28 of whom suffered from hematological toxicity. Logistic analysis showed statistically significant differences in BMI, NRS 2002, prealbumin, and NUDT15 polymorphism. Further multivariate logistic model analysis showed that the NRS2002 score was an independent risk factor for hematological toxicity. An ROC curve was constructed with NRS2002, and patients were more likely to suffer from hematological toxicity when NRS2002 exceeded 3 points. Conclusion The risk of haematological toxicity in azathioprine-treated patients can be predicted by the NRS2002 score so that drug safety can be ensured by providing dietary guidance.

Key words: azathioprine, logistic regression model, risk factors, ROC curve

CLC Number: