Bikdeli Behnood, Khairani Candrika D, Bejjani Antoine, Lo Ying-Chih, Mahajan Shiwani, Caraballo César, Jimenez Jose Victor, Krishnathasan Darsiya, Zarghami Mehrdad, Rashedi Sina, Jimenez David, Barco Stefano, Secemsky Eric A, Klok Frederikus A, Hunsaker Andetta R, Aghayev Ayaz, Muriel Alfonso, Hussain Mohamad A, Appah-Sampong Abena, Lu Yuan, Lin Zhenqiu, Mojibian Hamid, Aneja Sanjay, Khera Rohan, Konstantinides Stavros, Goldhaber Samuel Z, Wang Liqin, Zhou Li, Monreal Manuel, Piazza Gregory, Krumholz Harlan M
Cardiovascular Medicine Division, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA; Thrombosis Research Group, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA; YNHH/Yale Center for Outcomes Research and Evaluation, New Haven, Connecticut, USA.
Thrombosis Research Group, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
J Thromb Haemost. 2025 Feb;23(2):556-564. doi: 10.1016/j.jtha.2024.10.013. Epub 2024 Nov 4.
Many research investigations for pulmonary embolism (PE) rely on the International Classification of Diseases 10th Revision (ICD-10) codes for analyses of electronic databases. The validity of ICD-10 codes in identifying PE remains uncertain.
The objective of this study was to validate an algorithm to efficiently identify pulmonary embolism using ICD-10 codes.
Using a prespecified protocol, patients in the Mass General-Brigham hospitals (2016-2021) with ICD-10 principal discharge codes for PE, those with secondary codes for PE, and those without PE codes were identified (n = 578 from each group). Weighting was applied to represent each group proportionate to their true prevalence. The accuracy of ICD-10 codes for identifying PE was compared with adjudication by independent physicians. The F1 score, which incorporates sensitivity and positive predictive value (PPV), was assessed. Subset validation was performed at Yale-New Haven Health System.
A total of 1712 patients were included (age: 60.6 years; 52.3% female). ICD-10 PE codes in the principal discharge position had sensitivity and PPV of 58.3% and 92.1%, respectively. Adding secondary discharge codes to the principal discharge codes improved the sensitivity to 83.2%, but the PPV was reduced to 79.1%. Using a combination of ICD-10 PE principal discharge codes or secondary codes plus imaging codes for PE led to sensitivity and PPV of 81.6% and 84.7%, respectively, and the highest F1 score (83.1%; P < .001 compared with other methods). Validation yielded largely similar results.
Although the principal discharge codes for PE show excellent PPV, they miss 40% of acute PEs. A combination of principal discharge codes and secondary codes plus PE imaging codes led to improved sensitivity without severe reduction in PPV.
许多关于肺栓塞(PE)的研究调查依赖国际疾病分类第十版(ICD - 10)编码来分析电子数据库。ICD - 10编码在识别PE方面的有效性仍不确定。
本研究的目的是验证一种使用ICD - 10编码有效识别肺栓塞的算法。
采用预先指定的方案,识别麻省总医院布莱根分院(2016 - 2021年)中主要出院诊断编码为PE的患者、次要诊断编码为PE的患者以及无PE编码的患者(每组n = 578)。应用加权来表示每组与真实患病率成比例的情况。将ICD - 10编码识别PE的准确性与独立医生的判定结果进行比较。评估了结合敏感性和阳性预测值(PPV)的F1分数。在耶鲁 - 纽黑文医疗系统进行了子集验证。
共纳入1712例患者(年龄:60.6岁;52.3%为女性)。主要出院诊断位置的ICD - 10 PE编码的敏感性和PPV分别为58.3%和92.1%。在主要出院诊断编码中加入次要出院诊断编码可将敏感性提高到83.2%,但PPV降至79.1%。使用ICD - 10 PE主要出院诊断编码或次要诊断编码加上PE影像编码的组合,敏感性和PPV分别为81.6%和84.7%,且F1分数最高(83.1%;与其他方法相比,P < .001)。验证得出了大致相似的结果。
虽然PE的主要出院诊断编码显示出优异的PPV,但它们遗漏了40%的急性PE。主要出院诊断编码、次要诊断编码加上PE影像编码的组合可提高敏感性,同时PPV没有严重降低。