Validation of the diagnosis of venous thromboembolism in general practice database studies

Validation of the diagnosis of venous thromboembolism in general practice database studies
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DOI:
10.1046/j.1365-2125.2000.00199.x
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发表时间:
2000-06-01
影响因子:
3.4
通讯作者:
Farmer, RDT
Farmer, RDT
中科院分区:
医学3区
文献类型:
--
作者:
Lawrenson, R;Todd, JC;Farmer, RDT

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目的-这项研究进行,以确定是否选择静脉血栓栓塞症(VTE)的情况下,从全科医学数据库的方法显着影响的流行病学study.Methods调查结果的情况下,静脉血栓栓塞症从英国全科医学研究数据库(GPRD)通过搜索代码深静脉血栓形成(DVT)和肺栓塞(PE)。这些必须得到抗凝证据的支持,并在事件发生时暴露于复方口服避孕药(COC)。有关该事件的其他信息,要求全科医生完成一份问卷,并提供匿名的医院信件和出院summary.Results的副本,从GPRD确定的285例,额外的信息可用于177 VTE事件。这些信息显示,84%的事件得到医院调查或死亡证明的支持。仅使用验证的情况下,而不是所有GPRD确定的事件,并没有改变的流行病学study.Conclusions的结果GPRD提供足够高的质量,让有效的流行病学研究的VTE事件的信息。排除没有入院数据库记录的病例将导致有效事件被忽略,并低估疾病发生率。
Aims The study was conducted to determine whether the method for selecting cases of venous thromboembolism (VTE) from general practice databases significantly affected the findings of an epidemiological study.Methods Cases of VTE were identified from the UK General Practice Research Database (GPRD) by searching for codes for deep vein thrombosis (DVT) and pulmonary embolism (PE). These had to be supported by evidence of anticoagulation and be exposed to a combined oral contraceptive (COC) at the time of the event. Additional information about the event was sought from general practitioners who were requested to complete a questionnaire and to supply anonymised copies of hospital letters and discharge summaries.Results Of the 285 cases identified from the GPRD, additional information was available for 177 VTE events. This information showed that 84% of those events were supported by hospital investigations or a death certificate. Using only verified cases, rather than all GPRD identified events, did not alter the results of the epidemiological study.Conclusions The GPRD provides information of sufficiently high quality to allow valid epidemiological research of VTE events. Excluding cases without a database record of hospital admission would lead to valid events being overlooked, and an under-estimate of the disease incidence.