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高效数据方法在确定医、外科住院患者院内血栓和大出血发生率中的准确性:英国四家医院的一项多中心观察性队列研究。

Accuracy of efficient data methods to determine the incidence of hospital-acquired thrombosis and major bleeding in medical and surgical inpatients: a multicentre observational cohort study in four UK hospitals.

机构信息

Emergency Department, Northern Care Alliance NHS Foundation Trust, Salford, Manchester, UK

Division of Infection, Immunity and Respiratory Medicine, The University of Manchester, Manchester, UK.

出版信息

BMJ Open. 2023 Feb 6;13(2):e069244. doi: 10.1136/bmjopen-2022-069244.

Abstract

OBJECTIVES

We evaluated the accuracy of using routine health service data to identify hospital-acquired thrombosis (HAT) and major bleeding events (MBE) compared with a reference standard of case note review.

DESIGN

A multicentre observational cohort study.

SETTING

Four acute hospitals in the UK.

PARTICIPANTS

A consecutive unselective cohort of general medical and surgical patients requiring hospitalisation for a period of >24 hours during the calendar year 2021. We excluded paediatric, obstetric and critical care patients due to differential risk profiles.

INTERVENTIONS

We compared preidentified sources of routinely collected information (using hospital coding data and local contractually mandated thrombosis datasets) to data extracted from case notes using a predesigned workflow methodology.

PRIMARY AND SECONDARY OUTCOME MEASURES

We defined HAT as objectively confirmed venous thromboembolism occurring during hospital stay or within 90 days of discharge and MBE as per international consensus.

RESULTS

We were able to source all necessary routinely collected outcome data for 87% of 2008 case episodes reviewed. The sensitivity of hospital coding data (International Classification of Diseases 10th Revision, ICD-10) for the diagnosis of HAT and MBE was 62% (95% CI, 54 to 69) and 38% (95% CI, 27 to 50), respectively. Sensitivity improved to 81% (95% CI, 75 to 87) when using local thrombosis data sets.

CONCLUSIONS

Using routinely collected data appeared to miss a substantial proportion of outcome events, when compared with case note review. Our study suggests that currently available routine data collection methods in the UK are inadequate to support efficient study designs in venous thromboembolism research.

TRIAL REGISTRATION NUMBER

NIHR127454.

摘要

目的

我们评估了使用常规卫生服务数据识别医院获得性血栓形成(HAT)和主要出血事件(MBE)的准确性,与病例记录审查的参考标准相比。

设计

一项多中心观察性队列研究。

设置

英国的四家急性医院。

参与者

需要住院治疗 24 小时以上的连续非选择性一般内科和外科患者队列,2021 年全年。由于风险概况不同,我们排除了儿科、产科和重症监护患者。

干预措施

我们将预识别的常规收集信息源(使用医院编码数据和当地合同规定的血栓数据集)与使用预设计工作流程方法从病例记录中提取的数据进行比较。

主要和次要结果测量

我们将 HAT定义为在住院期间或出院后 90 天内确诊的静脉血栓栓塞症,MBE 按照国际共识定义。

结果

我们能够为审查的 2008 个病例事件中的 87%获取所有必要的常规收集结局数据。医院编码数据(国际疾病分类第 10 版,ICD-10)对 HAT 和 MBE 的诊断灵敏度分别为 62%(95%CI,54 至 69)和 38%(95%CI,27 至 50)。当使用本地血栓数据集时,灵敏度提高到 81%(95%CI,75 至 87)。

结论

与病例记录审查相比,使用常规收集的数据似乎错过了相当一部分结局事件。我们的研究表明,英国目前可用的常规数据收集方法不足以支持静脉血栓栓塞症研究中的高效研究设计。

试验注册编号

NIHR127454。

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