Analysis of risk factors for piracetam-associated thrombocytopenia and the establishment of risk prediction model
- VernacularTitle:吡拉西坦相关血小板减少症的危险因素分析及其风险预测模型建立
- Author:
Tianmin HUANG
1
;
Xingming LU
2
;
Mei ZHENG
1
;
Guizong GUO
3
;
Xin LU
1
;
Yilin LUO
1
;
Yingxia YANG
1
Author Information
1. Dept. of Pharmacy，the First Affiliated Hospital of Guangxi Medical University，Nanning 530021，China
2. Dept. of Pharmacy，Binyang County People’s Hospital of Guangxi Zhuang Autonomous Region，Nanning 530400，China
3. Office of Academic Affairs，Guangxi Medical University，Nanning 530021，China
- Publication Type:Journal Article
- Keywords:
piracetam;
thrombocytopenia;
risk factors;
risk prediction model;
rational drug use
- From:
China Pharmacy
2025;36(10):1226-1231
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE To analyze the risk factors contributing to piracetam-associated thrombocytopenia and develop a predictive model for risk prediction. METHODS The electronic medical record information of inpatients treated with piracetam was collected retrospectively from the First Affiliated Hospital of Guangxi Medical University from January 2021 to December 2023， including gender， age， underlying diseases， combined medication， and laboratory data， etc. Patients were divided into the occurrence group and the non-occurrence group according to whether thrombocytopenia occurred， and the differences in clinical data between the two groups were compared. The independent risk factors were determined through univariate/multivariate Logistic regression analysis. A nomogram was drawn to visually present the independent risk factors， and a risk prediction model was constructed. The predictive efficacy of the model was evaluated using the receiver operating characteristic （ROC） curve， Bootstrap internal validation and calibration curve. RESULTS A total of 224 patients were included， among which 196 cases were in the non- occurrence group and 28 cases in the occurrence group. The incidence of thrombocytopenia was 12.50%. The results of the univariate Logistic regression analysis showed that the proportion of patients using three or more combined antibiotics and the level of serum creatinine in the occurrence group were significantly higher than those in the non-occurrence group， while the level of hemoglobin was significantly lower （P＜0.05）. The results of the multivariate Logistic regression analysis revealed that the use of three or more combined antibiotics， low hemoglobin level and high serum creatinine level were independent risk factors for piracetam-associated thrombocytopenia （P＜0.05）. The constructed risk prediction model was LogitP＝ －1.114+1.256×three or more combined antibiotics－0.017×hemoglobin level+0.009×serum creatinine level. The AUC of the ROC curve of this model was 0.757， and the optimal cut-off value was 0.474； the AUC of the ROC curve of the Bootstrap internal validation was 0.733； the apparent curve and the bias-corrected curve were close to the ideal curve. CONCLUSIONS The use of three or more antibiotics， along with low hemoglobin level and high serum creatinine level， are identified as independent risk factors for piracetam-associated thrombocytopenia. The developed risk prediction model demonstrates good predictive value.
