IBM Consulting, Bethesda, Maryland, United States of America.
U.S. Food and Drug Administration, Center for Biologics Evaluation and Research, Silver Spring, Maryland, United States of America.
PLoS One. 2022 Aug 18;17(8):e0273196. doi: 10.1371/journal.pone.0273196. eCollection 2022.
The Food and Drug Administration's Biologics Effectiveness and Safety Initiative conducts active surveillance to protect public health during the coronavirus disease 2019 (COVID-19) pandemic. This study evaluated performance of International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) diagnosis code U07.1 in identifying COVID-19 cases in claims compared with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) nucleic acid amplification test results in linked electronic health records (EHRs). Care episodes in three populations were defined using COVID-19-related diagnoses (population 1), SARS-CoV-2 nucleic acid amplification test procedures (population 2), and all-cause hospitalizations (population 3) in two linked claims-EHR databases: IBM® MarketScan® Explorys® Claims-EMR Data Set (commercial) and OneFlorida Data Trust linked Medicaid-EHR. Positive and negative predictive values were calculated. Respectively, populations 1, 2, and 3 included 26,686, 26,095, and 2,564 episodes (commercial) and 29,117, 23,412, and 9,629 episodes (Florida Medicaid). The positive predictive value was >80% and the negative predictive value was >95% in each population, with the highest positive predictive value in population 3 (commercial: 91.9%; Medicaid: 93.1%). Findings did not vary substantially by patient age. Positive predictive values in populations 1 and 2 fluctuated during April-June 2020. They then stabilized in the commercial but not the Medicaid population. Negative predictive values were consistent over time in all populations and databases. Our findings indicate that U07.1 has high performance in identifying COVID-19 cases and noncases in claims databases. Performance may vary across populations and periods.
食品和药物管理局的生物制品有效性和安全性倡议开展主动监测,以在 2019 年冠状病毒病(COVID-19)大流行期间保护公众健康。本研究评估了国际疾病分类第十次修订临床修订版(ICD-10-CM)诊断代码 U07.1 在比较与严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)核酸扩增试验结果在链接电子健康记录(EHR)中识别 COVID-19 病例的表现。使用 COVID-19 相关诊断(人群 1)、SARS-CoV-2 核酸扩增试验程序(人群 2)和全因住院(人群 3)在两个链接索赔-EHR 数据库中定义了三个人群的护理事件:IBM® MarketScan®Explorys®索赔-EMR 数据集(商业)和 OneFlorida Data Trust 链接医疗补助-EHR。计算了阳性和阴性预测值。分别为,人群 1、2 和 3 包括 26,686、26,095 和 2,564 例(商业)和 29,117、23,412 和 9,629 例(佛罗里达州医疗补助)。每个群体的阳性预测值均>80%,阴性预测值均>95%,其中群体 3(商业:91.9%;医疗补助:93.1%)的阳性预测值最高。研究结果不因患者年龄而异。2020 年 4 月至 6 月期间,人群 1 和 2 的阳性预测值波动。然后,商业人群的预测值稳定,但医疗补助人群的预测值不稳定。所有人群和数据库的阴性预测值随时间保持一致。我们的研究结果表明,U07.1 在索赔数据库中识别 COVID-19 病例和非病例的性能较高。性能可能因人群和时期而异。