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基于树的扫描统计分析在丹麦全国健康数据中挖掘肿瘤坏死因子-α抑制剂在儿科患者中的不良事件

Data Mining for Adverse Events of Tumor Necrosis Factor-Alpha Inhibitors in Pediatric Patients: Tree-Based Scan Statistic Analyses of Danish Nationwide Health Data.

机构信息

Clinical Epidemiology Division T2, Department of Medicine Solna, Karolinska Institutet, 17176, Stockholm, Sweden.

Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.

出版信息

Clin Drug Investig. 2020 Dec;40(12):1147-1154. doi: 10.1007/s40261-020-00977-5. Epub 2020 Oct 26.

Abstract

BACKGROUND AND OBJECTIVES

Tumor necrosis factor-alpha (TNF-α) inhibitors are efficacious and considered generally safe in adults. However, pediatric-specific safety evidence is scarce. The aim of this study was to screen for signals of previously unknown adverse events of TNF-α inhibitors in pediatric patients.

METHODS

We conducted a data-mining study based on routinely collected, nationwide Danish healthcare data for 2004-2016. Using tree-based scan statistics to identify events with unexpectedly high incidence during TNF-α inhibitor use among patients with inflammatory bowel disease or juvenile idiopathic arthritis, two analyses were performed: comparison with episodes of no use and with other time periods from the same patient. Based on incident physician-assigned diagnosis codes from outpatient and inpatient visits in specialist care, we screened thousands of potential adverse events while adjusting for multiple testing.

RESULTS

We identified 1310 episodes of new TNF-α inhibitor use that met the eligibility criteria. Two signals of adverse events of TNF-α inhibitors, as compared with no use, were detected. First, there were excess events of dermatologic complications (ICD-10: L00-L99, 87 vs. 44 events, risk difference [RD] 3.3%), which have been described previously in adults and children. Second, there were excess events of psychiatric diagnosis adjustment disorders (ICD-10: F432, 33 vs. 7 events, RD 2.0%), which was likely associated with the underlying disease and its severity, rather than with the treatment. The self-controlled analysis generated no signal.

CONCLUSIONS

No signals of previously unknown adverse events of TNF-α inhibitors in pediatric patients were detected. The study showed that real-world data and newly developed methods for adverse events data mining can play a particularly important role in pediatrics where pre-approval drug safety data are scarce.

摘要

背景和目的

肿瘤坏死因子-α(TNF-α)抑制剂在成人中有效且被认为通常是安全的。然而,儿科特有的安全性证据很少。本研究旨在筛选 TNF-α抑制剂在儿科患者中先前未知的不良事件信号。

方法

我们进行了一项基于 2004-2016 年全国性丹麦医疗保健数据的挖掘研究。使用基于树的扫描统计来识别在炎症性肠病或幼年特发性关节炎患者中使用 TNF-α抑制剂期间发生率异常高的事件,进行了两项分析:与无使用期和同一患者的其他时期进行比较。基于门诊和专科医生就诊的住院患者的医师分配诊断代码,我们筛选了数千种潜在的不良事件,同时进行了多次测试调整。

结果

我们确定了 1310 个符合入选标准的新 TNF-α抑制剂使用病例。与无使用相比,检测到两种 TNF-α抑制剂的不良事件信号。首先,皮肤并发症的事件发生率过高(ICD-10:L00-L99,87 例与 44 例事件,风险差异 [RD] 3.3%),这在成人和儿童中已有描述。其次,精神科诊断调整障碍(ICD-10:F432)的事件发生率过高(33 例与 7 例事件,RD 2.0%),这可能与基础疾病及其严重程度相关,而不是与治疗相关。自我对照分析未产生信号。

结论

未在儿科患者中检测到 TNF-α抑制剂的先前未知不良事件信号。该研究表明,真实世界数据和新开发的不良事件数据挖掘方法在药物批准前安全性数据稀缺的儿科领域可以发挥特别重要的作用。

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