Alotaibi Ghazi S, Wu Cynthia, Senthilselvan Ambikaipakan, McMurtry M Sean
Department of Medicine, University of Alberta, Edmonton, Canada Department of Medicine, King Saud University, Riyadh, Saudi Arabia.
Department of Medicine, University of Alberta, Edmonton, Canada.
Vasc Med. 2015 Aug;20(4):364-8. doi: 10.1177/1358863X15573839. Epub 2015 Apr 1.
The purpose of this study was to evaluate the accuracy of using a combination of International Classification of Diseases (ICD) diagnostic codes and imaging procedure codes for identifying deep vein thrombosis (DVT) and pulmonary embolism (PE) within administrative databases. Information from the Alberta Health (AH) inpatients and ambulatory care administrative databases in Alberta, Canada was obtained for subjects with a documented imaging study result performed at a large teaching hospital in Alberta to exclude venous thromboembolism (VTE) between 2000 and 2010. In 1361 randomly-selected patients, the proportion of patients correctly classified by AH administrative data, using both ICD diagnostic codes and procedure codes, was determined for DVT and PE using diagnoses documented in patient charts as the gold standard. Of the 1361 patients, 712 had suspected PE and 649 had suspected DVT. The sensitivities for identifying patients with PE or DVT using administrative data were 74.83% (95% confidence interval [CI]: 67.01-81.62) and 75.24% (95% CI: 65.86-83.14), respectively. The specificities for PE or DVT were 91.86% (95% CI: 89.29-93.98) and 95.77% (95% CI: 93.72-97.30), respectively. In conclusion, when coupled with relevant imaging codes, VTE diagnostic codes obtained from administrative data provide a relatively sensitive and very specific method to ascertain acute VTE.
本研究的目的是评估在管理数据库中使用国际疾病分类(ICD)诊断代码和成像程序代码组合来识别深静脉血栓形成(DVT)和肺栓塞(PE)的准确性。从加拿大艾伯塔省的艾伯塔健康(AH)住院患者和门诊护理管理数据库中获取了2000年至2010年期间在艾伯塔省一家大型教学医院进行的有记录的成像研究结果以排除静脉血栓栓塞(VTE)的受试者信息。在1361名随机选择的患者中,以患者病历中记录的诊断为金标准,确定了使用AH管理数据(同时使用ICD诊断代码和程序代码)对DVT和PE进行正确分类的患者比例。在这1361名患者中,712名疑似PE,649名疑似DVT。使用管理数据识别PE或DVT患者时的敏感性分别为74.83%(95%置信区间[CI]:67.01 - 81.62)和75.24%(95%CI:65.86 - 83.14)。PE或DVT的特异性分别为91.86%(95%CI:89.29 - 93.98)和95.77%(95%CI:93.72 - 97.30)。总之,当与相关成像代码结合使用时,从管理数据中获得的VTE诊断代码提供了一种相对敏感且非常特异的方法来确定急性VTE。