Analysis of Risk Factors and Construction of Risk Prediction Model in 120 Cases of Thrombopenia Induced by Linezolid
OBJECTIVE:To probe into the risk factors of thrombocytopenia in patients receiving linezolid treatment by Logistic model and receiver operator characteristics(ROC)curve,and to predict the risk of adverse drug reactions.METHODS:Clinical data of 120 patients who met the criteria and received linezolid treatment in the First Affiliated Hospital of Kunming Medical University from Jun.2017 to May 2022 were retrospectively collected and analyzed.Multivariate Logistic regression method was used to analyze the risk factors for thrombocytopenia induced by linezolid.A Logistic model was established and combined with ROC curves to predict the incidence of thrombocytopenia.RESULTS:Thrombocytopenia occurred in 29 cases(24.17％)of 120 patients during treatment with linezolid.Multivariate Logistic regression analysis showed that valley concentration,basal platelets,albumin,creatinine clearance and medication duration were independent risk factors for thrombocytopenia.A Logistic regression equation was established by using independent risk factors,and a joint prediction factor calculation formula was obtained after transformation.Joint predictor=0.172×valley concentration-0.019×basic platelet-0.184×albumin-0.023 × creatinine clearance rate+0.222 × medication duration.The area under ROC curve of the joint predictor(0.928,95％CI=0.972-0.984,P＜0.001)was better than other indicators,and had certain predictive value.The cut-off point at the maximum of Youden index(0.766)was the optimal cut-off value on ROC curve(-2.63).CONCLUSIONS:Valley concentration,basal platelet,albumin,creatinine clearance,and medication duration were independent risk factors for thrombocytopenia.During clinical medication,the above factors could be incorporated into the calculation formula of joint predictive factors to predict the risk of thrombocytopenia,so as to timely adjust the medication regimen.
LinazolamideThrombocytopeniaRisk factorsPrediction model
万方数据
维普
