Retrospective analysis of preventable procedural adverse events (ICD-10 Y62-Y69) in the TriNetX network: a multiregional study before, during and after the COVID-19 pandemic.

IF 6.5 1区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Rosario Caruso, Marco Di Muzio, Emanuele Di Simone, Sara Dionisi, Arianna Magon, Gianluca Conte, Alessandro Stievano, Emanuele Girani, Sara Boveri, Pier Mario Perrone, Silvana Castaldi, Lorenzo Menicanti, Mary Dolansky
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引用次数: 0

Abstract

Background: Healthcare-related procedural misadventures remain underreported despite decades of investment in patient safety. International Classification of Diseases, 10th Revision (ICD-10) codes Y62-Y69 capture defined preventable adverse events during medical and surgical care. This study aimed to examine temporal patterns in Y62-Y69-coded events using aggregated, precomputed data from the TriNetX Global Collaborative Network.

Methods: We conducted a retrospective observational study using deidentified electronic health records from the TriNetX platform, encompassing over 135 million patients aged 0-89 (years: 2016-2024). Incidence rates for Y62-Y69-coded events were analysed globally and across four regional networks, USA, Europe-Middle East-Africa (EMEA), Asia-Pacific (APAC) and Latin America (LATAM), with additional sensitivity analyses in cardiovascular (ICD-10: I00-I99) and oncological (ICD-10: C00-D49) cohorts. Temporal trends were explored descriptively using polynomial regression (for visual pattern illustration) and the Mann-Kendall trend test.

Findings: Globally, Y62-Y69 incidence rates increased from 0.04 to 0.09 per 100 000 patients between 2016 and 2024 (125% increase), with inflection in the early postpandemic phase. EMEA exhibited the steepest rise (414%), followed by APAC (225%). The USA showed a non-linear pattern detectable only through polynomial modelling. LATAM and APAC trends lacked statistical significance, likely due to high year-to-year variability. Sensitivity analyses in the disease-specific cohorts reflected similar patterns, reinforcing the consistency of findings.

Interpretation: This is the first global, real-world analysis of ICD-10 Y62-Y69-coded adverse events. The findings reveal a notable postpandemic escalation in procedural harm, underscoring the fragility of safety systems under operational stress. Regional heterogeneity and non-linear trajectories highlight the importance of locally tailored interventions and the need to reinvigorate global patient safety efforts.

Data availability statement: All data were extracted from the TriNetX Global Collaborative Network. Aggregated incidence rates and the R code used for statistical analysis are provided in online supplemental file 2.

TriNetX网络中可预防程序性不良事件(ICD-10 Y62-Y69)的回顾性分析:一项在COVID-19大流行之前、期间和之后的多区域研究
背景:尽管在患者安全方面进行了数十年的投资,但与医疗保健相关的程序性事故仍然未被充分报道。国际疾病分类第十版(ICD-10)代码Y62-Y69定义了医疗和外科护理期间可预防的不良事件。本研究旨在使用来自TriNetX全球协作网络的聚合、预先计算的数据来检查y62 - y69编码事件的时间模式。方法:我们使用来自TriNetX平台的未识别电子健康记录进行了一项回顾性观察研究,包括超过1.35亿名年龄在0-89岁(年龄:2016-2024)的患者。在全球和美国、欧洲-中东-非洲(EMEA)、亚太地区(APAC)和拉丁美洲(LATAM)四个区域网络中分析了y62 - y69编码事件的发病率,并对心血管(ICD-10: I00-I99)和肿瘤(ICD-10: C00-D49)队列进行了额外的敏感性分析。使用多项式回归(用于视觉模式说明)和Mann-Kendall趋势检验描述性地探讨了时间趋势。研究结果:在全球范围内,2016年至2024年期间,Y62-Y69的发病率从每10万例患者0.04例增加到0.09例(增加125%),感染发生在大流行后早期阶段。EMEA的增幅最大(414%),其次是亚太地区(225%)。美国显示出一种非线性模式,只能通过多项式模型检测到。拉丁美洲和亚太地区的趋势缺乏统计意义,可能是由于年之间的差异很大。对特定疾病队列的敏感性分析反映了类似的模式,加强了研究结果的一致性。解释:这是对ICD-10 y62 - y69编码不良事件的首次全球真实分析。调查结果显示,大流行后程序性伤害显著升级,凸显了安全系统在操作压力下的脆弱性。区域异质性和非线性轨迹突出了针对当地的干预措施的重要性,以及重振全球患者安全工作的必要性。数据可用性声明:所有数据均来自TriNetX全球协作网络。汇总发病率和用于统计分析的R代码见在线补充文件2。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMJ Quality & Safety
BMJ Quality & Safety HEALTH CARE SCIENCES & SERVICES-
CiteScore
9.80
自引率
7.40%
发文量
104
审稿时长
4-8 weeks
期刊介绍: BMJ Quality & Safety (previously Quality & Safety in Health Care) is an international peer review publication providing research, opinions, debates and reviews for academics, clinicians and healthcare managers focused on the quality and safety of health care and the science of improvement. The journal receives approximately 1000 manuscripts a year and has an acceptance rate for original research of 12%. Time from submission to first decision averages 22 days and accepted articles are typically published online within 20 days. Its current impact factor is 3.281.
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