• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

美国儿童医院中具有临床意义的药物相互作用的流行率。

Prevalence of Clinically Significant Drug-Drug Interactions Across US Children's Hospitals.

机构信息

Monroe Carell Jr. Children's Hospital at Vanderbilt, Nashville, Tennessee;

Departments of Pediatrics and.

出版信息

Pediatrics. 2020 Nov;146(5). doi: 10.1542/peds.2020-0858. Epub 2020 Oct 9.

DOI:10.1542/peds.2020-0858
PMID:33037121
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7786820/
Abstract

BACKGROUND

Little is known about the prescribing of medications with potential drug-drug interactions (DDIs) in the pediatric population. The objective of this study was to determine the prevalence and variation of prescribing medications with clinically significant DDIs across children's hospitals in the United States.

METHODS

We performed a retrospective cohort study of patients <26 years of age who were discharged from 1 of 52 US children's hospitals between January 2016 and December 2018. Fifty-three drug pairings with clinically significant DDIs in children were evaluated. We identified patient-level risk factors associated with DDI using multivariable logistic regression. Adjusted hospital-level rates of DDI exposure were derived by using a generalized linear mixed-effects model, and DDI exposure variations were examined across individual hospitals.

RESULTS

Across 52 children's hospitals, 47 414 (2.0%) hospitalizations included exposure to a DDI pairing (34.9 per 1000 patient-days) during the study period. One-quarter of pairings were considered contraindicated (risk grade X). After adjusting for hospital and clinical factors, there was wide variation in the percentage of DDI prescribing across hospitals, ranging from 1.05% to 4.92%. There was also substantial hospital-level variation of exposures to individual drug pairings. Increasing age, number of complex chronic conditions, length of stay, and surgical encounters were independently associated with an increased odds of DDI exposure.

CONCLUSIONS

Patients hospitalized at US children's hospitals are frequently exposed to medications with clinically significant DDIs. Exposure risk varied substantially across hospitals. Further study is needed to determine the rate of adverse events due to DDI exposures and factors amenable for interventions promoting safer medication use.

摘要

背景

对于儿科人群中具有潜在药物-药物相互作用(DDI)的药物的处方情况知之甚少。本研究的目的是确定美国儿童医院中具有临床显著 DDI 的药物处方的流行率和变异性。

方法

我们对 2016 年 1 月至 2018 年 12 月期间从美国 52 家儿童医院出院的<26 岁患者进行了回顾性队列研究。评估了 53 种具有儿童临床显著 DDI 的药物配对。我们使用多变量逻辑回归确定了与 DDI 相关的患者水平危险因素。通过使用广义线性混合效应模型得出调整后的医院 DDI 暴露率,并检查了各个医院之间的 DDI 暴露变化。

结果

在 52 家儿童医院中,47414 例(2.0%)住院患者在研究期间接触到 DDI 配对(每 1000 患者-天 34.9 例)。四分之一的配对被认为是禁忌的(风险等级 X)。在调整了医院和临床因素后,医院之间 DDI 处方的比例存在很大差异,范围从 1.05%到 4.92%。个别药物配对的暴露也存在显著的医院水平差异。年龄增长、复杂慢性疾病数量、住院时间和手术遭遇与 DDI 暴露的可能性增加独立相关。

结论

美国儿童医院住院患者经常接触具有临床显著 DDI 的药物。暴露风险在医院之间存在很大差异。需要进一步研究确定因 DDI 暴露而导致不良事件的发生率以及可促进更安全用药的干预措施。

相似文献

1
Prevalence of Clinically Significant Drug-Drug Interactions Across US Children's Hospitals.美国儿童医院中具有临床意义的药物相互作用的流行率。
Pediatrics. 2020 Nov;146(5). doi: 10.1542/peds.2020-0858. Epub 2020 Oct 9.
2
Prevalence of high-risk drug-drug interactions in paediatric inpatients: a retrospective, single-centre cohort analysis.儿科住院患者中高危药物-药物相互作用的流行情况:一项回顾性、单中心队列分析。
Swiss Med Wkly. 2019 Aug 18;149:w20103. doi: 10.4414/smw.2019.20103. eCollection 2019 Aug 12.
3
Potential drug-drug interactions in infant, child, and adolescent patients in children's hospitals.儿童医院婴幼儿及青少年患者的潜在药物-药物相互作用。
Pediatrics. 2015 Jan;135(1):e99-108. doi: 10.1542/peds.2014-2015. Epub 2014 Dec 15.
4
Drug-drug interactions and the risk of adverse drug reaction-related hospital admissions in the older population.药物-药物相互作用与老年人群中与药物不良反应相关的住院风险。
Br J Clin Pharmacol. 2024 Apr;90(4):959-975. doi: 10.1111/bcp.15970. Epub 2023 Dec 26.
5
Prescribers' knowledge of and sources of information for potential drug-drug interactions: a postal survey of US prescribers.处方医生对潜在药物相互作用的了解及信息来源:对美国处方医生的邮寄调查。
Drug Saf. 2008;31(6):525-36. doi: 10.2165/00002018-200831060-00007.
6
Major Drug-Drug Interaction Exposure Among Medicaid-Insured Children in the Outpatient Setting.门诊环境下享受医疗补助保险的儿童中主要药物-药物相互作用的暴露情况。
Pediatrics. 2024 Jan 1;153(2). doi: 10.1542/peds.2023-063506.
7
Potential drug-drug interactions on in-patient medication prescriptions at Mbarara Regional Referral Hospital (MRRH) in western Uganda: prevalence, clinical importance and associated factors.乌干达西部姆巴拉拉地区转诊医院(MRRH)住院患者用药处方中的潜在药物相互作用:发生率、临床重要性及相关因素
Afr Health Sci. 2011 Sep;11(3):499-507.
8
Identifying high risk medications causing potential drug-drug interactions in outpatients: A prescription database study based on an online surveillance system.识别导致门诊患者潜在药物相互作用的高风险药物:基于在线监测系统的处方数据库研究。
Res Social Adm Pharm. 2016 Jul-Aug;12(4):559-68. doi: 10.1016/j.sapharm.2015.09.004. Epub 2015 Sep 25.
9
Epidemiology of Polypharmacy and Potential Drug-Drug Interactions Among Pediatric Patients in ICUs of U.S. Children's Hospitals.美国儿童医院重症监护病房儿科患者多重用药及潜在药物相互作用的流行病学
Pediatr Crit Care Med. 2016 May;17(5):e218-28. doi: 10.1097/PCC.0000000000000684.
10
Drug-Drug Interactions and Their Association with Adverse Health Outcomes in the Older Community-Dwelling Population: A Prospective Cohort Study.药物-药物相互作用及其与老年社区居民不良健康结局的关联:一项前瞻性队列研究。
Clin Drug Investig. 2024 Jun;44(6):439-453. doi: 10.1007/s40261-024-01369-9. Epub 2024 Jun 15.

引用本文的文献

1
Challenges of managing pediatric polypharmacy in a pediatric complex care program: A qualitative pilot study.儿科综合护理项目中管理儿童多重用药的挑战:一项定性试点研究。
J Am Pharm Assoc (2003). 2025 Jul-Aug;65(4):102391. doi: 10.1016/j.japh.2025.102391. Epub 2025 Mar 22.
2
Evaluating the Efficacy and Safety of Erythromycin for the Treatment of Gastroparesis in Infants and Children.评估红霉素治疗婴幼儿胃轻瘫的疗效和安全性。
J Pediatr Pharmacol Ther. 2025 Feb;30(1):70-77. doi: 10.5863/1551-6776-30.1.70. Epub 2025 Feb 10.
3
Major Drug-Drug Interaction Exposure Among Medicaid-Insured Children in the Outpatient Setting.

本文引用的文献

1
Preventable Adverse Drug Events Among Inpatients: A Systematic Review.可预防的住院患者药物不良事件:系统评价。
Pediatrics. 2018 Sep;142(3). doi: 10.1542/peds.2018-0805. Epub 2018 Aug 10.
2
An Investigation of Drug-Drug Interaction Alert Overrides at a Pediatric Hospital.一家儿童医院的药物相互作用警报 override 调查。
Hosp Pediatr. 2018 May;8(5):293-299. doi: 10.1542/hpeds.2017-0124.
3
A Pilot Project for Clinical Pharmacy Services in a Clinic for Children With Medical Complexity.一个针对患有复杂疾病儿童的诊所的临床药学服务试点项目。
门诊环境下享受医疗补助保险的儿童中主要药物-药物相互作用的暴露情况。
Pediatrics. 2024 Jan 1;153(2). doi: 10.1542/peds.2023-063506.
4
A coordinated approach for managing polypharmacy among children with medical complexity: rationale and design of the Pediatric Medication Therapy Management (pMTM) randomized controlled trial.管理患有复杂疾病的儿童的多重用药:儿科药物治疗管理(pMTM)随机对照试验的原理和设计。
BMC Health Serv Res. 2023 Apr 29;23(1):414. doi: 10.1186/s12913-023-09439-y.
5
Advancing pediatric medication safety using real-world data: Current problems and potential solutions.利用真实世界数据提升儿科用药安全性:当前问题与潜在解决方案
J Hosp Med. 2023 Sep;18(9):865-869. doi: 10.1002/jhm.13068. Epub 2023 Feb 28.
6
Clinically Significant Cytochrome P450-Mediated Drug-Drug Interactions in Children Admitted to Intensive Care Units.儿童重症监护病房中临床显著的细胞色素 P450 介导的药物-药物相互作用。
Int J Clin Pract. 2022 Aug 23;2022:2786914. doi: 10.1155/2022/2786914. eCollection 2022.
7
Novel Method for Early Prediction of Clinically Significant Drug-Drug Interactions with a Machine Learning Algorithm Based on Risk Matrix Analysis in the NICU.基于新生儿重症监护病房风险矩阵分析的机器学习算法早期预测具有临床意义的药物相互作用的新方法
J Clin Med. 2022 Aug 12;11(16):4715. doi: 10.3390/jcm11164715.
8
COVID-19 and Acute Neurologic Complications in Children.新型冠状病毒肺炎与儿童急性神经系统并发症。
Pediatrics. 2022 Nov 1;150(5). doi: 10.1542/peds.2022-058167.
9
Feasibility of a Centralized, Pharmacy-Led Penicillin Allergy Delabeling Program.集中式、药房主导的青霉素过敏去标签计划的可行性。
Hosp Pediatr. 2022 Jul 1;12(7):e230-e237. doi: 10.1542/hpeds.2021-006369.
10
Identifying opportunities for pediatric medication therapy management in children with medical complexity.识别医疗复杂性儿童的儿科药物治疗管理机会。
J Am Pharm Assoc (2003). 2022 Sep-Oct;62(5):1587-1595.e3. doi: 10.1016/j.japh.2022.04.005. Epub 2022 Apr 12.
J Pediatr Pharmacol Ther. 2017 Jul-Aug;22(4):246-250. doi: 10.5863/1551-6776-22.4.246.
4
Drug-Drug Interactions Among Hospitalized Children Receiving Chronic Antiepileptic Drug Therapy.接受慢性抗癫痫药物治疗的住院儿童中的药物相互作用。
Hosp Pediatr. 2016 May;6(5):282-9. doi: 10.1542/hpeds.2015-0249. Epub 2016 Jan 1.
5
Epidemiology of Polypharmacy and Potential Drug-Drug Interactions Among Pediatric Patients in ICUs of U.S. Children's Hospitals.美国儿童医院重症监护病房儿科患者多重用药及潜在药物相互作用的流行病学
Pediatr Crit Care Med. 2016 May;17(5):e218-28. doi: 10.1097/PCC.0000000000000684.
6
Potential drug-drug interactions in infant, child, and adolescent patients in children's hospitals.儿童医院婴幼儿及青少年患者的潜在药物-药物相互作用。
Pediatrics. 2015 Jan;135(1):e99-108. doi: 10.1542/peds.2014-2015. Epub 2014 Dec 15.
7
Drug interaction alert override rates in the Meaningful Use era: no evidence of progress.有意义使用时代的药物相互作用警报忽略率:无进展证据。
Appl Clin Inform. 2014 Sep 3;5(3):802-13. doi: 10.4338/ACI-2013-12-RA-0103. eCollection 2014.
8
Pediatric complex chronic conditions classification system version 2: updated for ICD-10 and complex medical technology dependence and transplantation.儿科复杂慢性病分类系统第2版:针对国际疾病分类第十版(ICD - 10)以及复杂医疗技术依赖和移植进行了更新。
BMC Pediatr. 2014 Aug 8;14:199. doi: 10.1186/1471-2431-14-199.
9
Adverse drug event-related emergency department visits associated with complex chronic conditions.与复杂慢性病相关的药物不良事件相关的急诊科就诊。
Pediatrics. 2014 Jun;133(6):e1575-85. doi: 10.1542/peds.2013-3060. Epub 2014 May 19.
10
Core drug-drug interaction alerts for inclusion in pediatric electronic health records with computerized prescriber order entry.纳入具有计算机化医嘱录入功能的儿科电子健康记录的核心药物相互作用警报。
J Patient Saf. 2014 Mar;10(1):59-63. doi: 10.1097/PTS.0000000000000050.