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一项关于2010年至2020年向药品不良反应监测中心报告的药品不良反应(ADR)的回顾性观察研究。

A Retrospective Observational Study of Adverse Drug Reactions (ADR) Reported to ADR Monitoring Centre from 2010 to 2020.

作者信息

Srinivasan Akila, Selvarajan Sandhiya, Shivabasappa Santhosh, Arunmozhy S

机构信息

Department of Pharmacology, Mahatma Gandhi Medical College and Research Institute (MGMCRI), Sri Balaji Vidyapeeth, Pondicherry, India.

Department of Clinical Pharmacology, JIPMER, Pondicherry, India.

出版信息

Curr Drug Saf. 2025;20(3):349-360. doi: 10.2174/0115748863317987241015034413.

Abstract

BACKGROUND

Adverse Drug Reactions (ADR) are one of the common causes of hospital admissions and pose a significant clinical and economic burden on the healthcare system. The Adverse Drug Reaction Monitoring Centre (AMC) in JIPMER functioning under the Pharmacovigilance Programme of India (PvPI) plays a vital role in ensuring medication safety by routinely detecting and monitoring ADRs. Hence, this study aimed to assess the characteristics of ADR reported from 2010 to 2020 in AMC JIPMER and to detect signals, if any.

OBJECTIVE

To study the characteristics of Adverse Drug Reactions (ADR) reported to a regional ADR monitoring center from 2010 to 2020 and to detect signals of disproportionate reporting (SDRs) if any from the reported ADRs.

MATERIALS AND METHODS

A total of 6007 ADR reports with a single suspect drug were included for analysis from 2010 to 2020. The characteristics of these reports, including patient's age and gender, Number and percentage of ADRs, the causality of ADR using WHO UMC (World Health Organization-Uppsala Monitoring Centre) scale, the seriousness of the ADR, and outcome were collected from the ADR reports. MedDRA (Medical Dictionary for Regulatory Activities) Preferred Terms (PT) were used to classify adverse drug reactions. Causality analysis using the Naranjo Algorithm and Preventability using Modified Schumock and Thornton criteria were performed for the ADRs. The number and percentage of severe ADRs were analyzed. The System Organ class of all the ADRs was enumerated. ADRs not mentioned in the US FDA (United States Food and Drug Administration) product label (unlabelled reactions) were documented. Unlabeled reactions with ≥3 ADR reports were included for signal detection by disproportionality analysis.

RESULTS

Antineoplastic drugs, followed by antimicrobials, anticonvulsants, Anti snake venom, and NSAID were the most common drugs implicated in ADRs. Skin and subcutaneous tissue disorders were the most common System Organ Class (SOC) involved in the ADRs. Among the 6007 reports, 19.2% were serious ADRs. Most of the ADR reports were of possible causality followed by probable and certain as per WHO UMC and Naranjo causality scales. Only ten ADRs were preventable and one reaction (Tamoxifen-induced neuropathy) was eligible for signal detection. Disproportionality analysis using a 2x2 contingency table showed insignificant signal detection using the Reporting Odds Ratio (ROR) and Proportional Reporting Ratio (PRR).

CONCLUSION

Analysis of ADRs from an ADR Monitoring center functioning in a tertiary care hospital shows antineoplastic drugs to be the most common drugs associated with adverse drug reactions, with rash being the most common adverse effect. The majority of the ADRs were not preventable. No Signals of Disproportionate Reporting (SDR) were detected in our study.

摘要

背景

药物不良反应(ADR)是住院的常见原因之一,给医疗系统带来了重大的临床和经济负担。在印度药物警戒计划(PvPI)下运作的贾瓦哈拉尔·尼赫鲁医学院药物不良反应监测中心(AMC),通过定期检测和监测药物不良反应,在确保用药安全方面发挥着至关重要的作用。因此,本研究旨在评估2010年至2020年期间AMC JIPMER报告的药物不良反应特征,并检测是否存在信号。

目的

研究2010年至2020年期间向区域药物不良反应监测中心报告的药物不良反应(ADR)特征,并从报告的药物不良反应中检测不成比例报告信号(SDR)。

材料与方法

纳入2010年至2020年期间共6007份单一可疑药物的ADR报告进行分析。从ADR报告中收集这些报告的特征,包括患者的年龄和性别、ADR的数量和百分比、使用世界卫生组织药物不良反应因果关系评价体系(WHO UMC)的ADR因果关系、ADR的严重程度和转归。使用医学监管活动医学词典(MedDRA)首选术语(PT)对药物不良反应进行分类。对ADR进行使用纳伦霍算法的因果关系分析以及使用改良舒莫克和桑顿标准的可预防性分析。分析严重ADR的数量和百分比。列举所有ADR的系统器官类别。记录美国食品药品监督管理局(FDA)产品标签中未提及的ADR(未标记反应)。纳入≥3份ADR报告的未标记反应,通过不成比例分析进行信号检测。

结果

抗肿瘤药物,其次是抗菌药物、抗惊厥药物、抗蛇毒血清和非甾体抗炎药是与ADR相关的最常见药物。皮肤和皮下组织疾病是ADR中最常见的系统器官类别(SOC)。在6007份报告中,19.2%为严重ADR。根据WHO UMC和纳伦霍因果关系量表,大多数ADR报告的因果关系为可能,其次是很可能和肯定。只有10例ADR是可预防的,一种反应(他莫昔芬引起的神经病变)符合信号检测标准。使用2×2列联表进行的不成比例分析显示,使用报告比值比(ROR)和比例报告比值比(PRR)检测到的信号不显著。

结论

对一家三级医院运作的ADR监测中心的ADR分析表明,抗肿瘤药物是与药物不良反应相关的最常见药物,皮疹是最常见的不良反应。大多数ADR是不可预防的。在我们的研究中未检测到不成比例报告信号(SDR)。

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