Adverse Drug Reaction Monitoring and Construction of Risk Prediction Model of β-Lactam Antibiotics

Jiang Junjie; Wang Facai; Shen Bingxiang; Nie Songliu; Duan Zihao; Zhu Zhixiang

doi:10. 13407/ j. cnki. jpp. 1672-108X. 2023. 11. 004

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Adverse Drug Reaction Monitoring and Construction of Risk Prediction Model of β-Lactam Antibiotics

更新时间：2023-11-08

- Adverse Drug Reaction Monitoring and Construction of Risk Prediction Model of β-Lactam Antibiotics
- Vol. 29, Issue 11, Pages: 12-16(2023)
- 作者机构：
  
  1. 安徽医科大学附属六安医院,安徽,六安,237005
  2. 北京中医药大学,北京,100029
- 作者简介：
- 基金信息：
- DOI：10. 13407/ j. cnki. jpp. 1672-108X. 2023. 11. 004
  CLC：
- Published：2023，
  
  Published Online：10 November 2023，
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Jiang Junjie, Wang Facai, Shen Bingxiang, et al. Adverse Drug Reaction Monitoring and Construction of Risk Prediction Model of β-Lactam Antibiotics. [J]. 29(11):12-16(2023)
DOI：

Jiang Junjie, Wang Facai, Shen Bingxiang, et al. Adverse Drug Reaction Monitoring and Construction of Risk Prediction Model of β-Lactam Antibiotics. [J]. 29(11):12-16(2023) DOI： 10. 13407/ j. cnki. jpp. 1672-108X. 2023. 11. 004.

摘要

目的:通过监测安徽医科大学附属六安医院患儿使用 β-内酰胺类抗菌药物所致药物不良反应(ADR)

分析 ADR 发生情况及影响因素

并建立其风险预测模型。方法:选取 2018 年 5 月至 2022 年 2 月安徽医科大学附属六安医院儿科使用 β-内酰胺类抗菌药物的患儿作为 ADR 监测对象

统计分析 ADR 患儿临床资料。按使用 β-内酰胺类抗菌药物是否发生 ADR

分为 ADR 组和无 ADR(nADR)组

并采用 Logistic 回归分析筛选其独立危险因素

建立列线图预测模型。结果:共监测使用 β-内酰胺类抗菌药物的患儿 453 例

87 例发生 ADR(ADR 组)

366 例未发生 ADR(nADR 组)。单因素和 Logistic 回归多因素分析显示

过敏史、给药频次不合理、高剂量、用药时间≥3 d、联合用药为 β-内酰胺类抗菌药物所致 ADR 的独立危险因素(P<0. 05)。据此建立预测 β-内酰胺类抗菌药物所致 ADR 的列线图模型

一致性指数高达 0. 749(95%CI 0. 691 ~ 0. 807)

校正曲线趋近于理想曲线 (16% ~81%)

列线图预测 β-内酰胺类抗菌药物引发患儿 ADR 风险净获益值较高

表明该模型临床预测效用良好。结论:β-内酰胺类抗菌药物所致 ADR 的危险因素包括过敏史、给药频次不合理、高剂量、用药时间≥3 d、联合用药

据此构建的列线图模型能有效预测 β-内酰胺类抗菌药物致 ADR 的风险概率

具有一定临床价值。

Abstract

Objective: To analyze the occurrence and influencing factors of adverse drug reactions ( ADR) induced by β-lactam antibiotics and establish the risk prediction model by monitoring ADR induced by β-lactam antibiotics in children from Lu’ an Hospital Affiliated to Anhui Medical University. Methods: Children who received β-lactam antibiotics in Lu’ an Hospital Affiliated to Anhui Medical University from May 2018 to Feb. 2022 were extracted as subjects for ADR monitoring. Clinical data of children with ADR were collected and analyzed. Based on the occurrence of ADR

children were divided into the ADR group and non-ADR ( nADR) group. Logistic regression analysis was used to identify independent risk factors and construct the nomogram prediction model. Results: A total of 453 children receiving β-lactam antibiotics were monitored

with 87 cases of ADR (ADR group)

and 366 cases without ADR (nADR group). Univariate and multivariate Logistic regression analysis showed that history of allergy

inappropriate administration frequency

high dose

medication duration ⩾3 d and drug combination were independent risk factors for ADR induced by β-lactam antibiotics (P< 0. 05). Based on these findings

nomogram model for predicting ADR induced by β-lactam antibiotics was constructed

with C-index of 0. 749 (95% CI from 0. 691 to 0. 807). Correction curve was close to the ideal curve ( from 16% to 81%)

and the net risk benefit value of ADR induced by β-lactam antibiotics predicted by the column graph was high

indicating that the model was good in clinical prediction. Conclusion: Risk factors of ADR induced by β-lactam antibiotics include history of allergy

inappropriate administration frequency

high dose

medication duration ⩾3 d and drug combination

and the constructed nomogram model can effectively predict the risk probability of ADR induced by β-lactam antibiotics

which is of some clinical value.

关键词

β-内酰胺类抗菌药物药物不良反应危险因素列线图模型预测

Keywords

β-lactam antibioticsadverse drug reactionsinfluencing factorsnomogrammodel prediction

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