Xu Mengdan, Xiong Shunyu, Chen Guanquan, Li Guozhi, He Suzhen
School of Pharmacy, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China.
NMPA Key Laboratory for Technology Research and Evaluation of Pharmacovigilance, Guangzhou, Guangdong, China.
Front Pharmacol. 2025 Aug 14;16:1533634. doi: 10.3389/fphar.2025.1533634. eCollection 2025.
To explore the method of active monitoring of adverse drug events (ADEs) in patients with a rare disease: pulmonary arterial hypertension (PAH).
First, initial trigger items were extracted and organized through literature-based evidence and drug inserts. Then, the trigger items were refined using expert consultation based on a Delphi method. Second, patients with PAH admitted to a hospital between 1 January 2022 and 1 June 2023 were extracted as study samples. A retrospective case review was conducted to verify the clinical applicability of triggers. We calculated indicators such as sensitivity, specificity, and positive predictive value (PPV), and also observed the ADEs. Risk factors for the development of ADEs in hospitalized patients with PAH were also analyzed.
We extracted and organized 31 initial trigger items. After two rounds of modification through expert consultation, 24 triggers were identified. We converted the trigger items into risk signals to automatically identify cases with possible ADEs with the help of the Chinese Hospital Pharmacovigilance System (CHPS). Manual review of suspected cases revealed that the overall PPV of the triggers was 30.30%, the sensitivity was 98.21%, and the specificity was 72.57%. The prevalence of ADEs detection was 17.57%, which was equivalent to 25.75 ADEs occurrences in 1,000 patient days and 11.84 ADEs occurrences in 1,000 medications. ADEs-involved organs included the blood system, and there was also damage to the gastrointestinal system, hepatic system, and renal system. ADEs severity was categorized into 24 grade D cases, 102 grade E cases, 15 grade F cases, and two grade H cases. The longer the duration of hospitalization, the higher the number of comorbidities, the higher the number of positive triggers, and the higher the likelihood of ADEs.
This study provides a new method for actively identifying ADEs in hospitalized patients with PAH, as well as a reference for research on pharmacovigilance for rare diseases.
探索对罕见病患者肺动脉高压(PAH)进行药物不良事件(ADEs)主动监测的方法。
首先,通过基于文献的证据和药品说明书提取并整理初始触发项。然后,基于德尔菲法利用专家咨询对触发项进行细化。其次,选取2022年1月1日至2023年6月1日期间在某医院住院的PAH患者作为研究样本。进行回顾性病例审查以验证触发项的临床适用性。我们计算了灵敏度、特异度和阳性预测值(PPV)等指标,并观察ADEs。还分析了住院PAH患者发生ADEs的危险因素。
我们提取并整理了31个初始触发项。经过两轮专家咨询修改后,确定了24个触发项。我们将触发项转换为风险信号,借助中国医院药物警戒系统(CHPS)自动识别可能发生ADEs的病例。对疑似病例的人工审查显示,触发项的总体PPV为30.30%,灵敏度为98.21%,特异度为72.57%。ADEs的检出率为17.57%,相当于每千个患者日发生25.75次ADEs事件,每千次用药发生11.84次ADEs事件。涉及ADEs的器官包括血液系统,还有胃肠道系统、肝脏系统和肾脏系统的损害。ADEs严重程度分为24例D级、102例E级、15例F级和2例H级。住院时间越长、合并症数量越多、阳性触发项数量越高,发生ADEs的可能性就越高。
本研究为主动识别住院PAH患者的ADEs提供了一种新方法,也为罕见病药物警戒研究提供了参考。