Positive Predictive Value of ICD-10 Diagnosis Codes for COVID-19

被引:23
作者
Bodilsen, Jacob [1 ]
Leth, Steffen [2 ,3 ]
Nielsen, Stig Lonberg [4 ,5 ]
Holler, Jon Gitz [6 ]
Benfield, Thomas [7 ]
Omland, Lars Haukali [8 ]
机构
[1] Aalborg Univ Hosp, Dept Infect Dis, Mollepk Vej 4, DK-9000 Aalborg, Denmark
[2] Aarhus Univ Hosp Skejby, Dept Infect Dis, Aarhus, Denmark
[3] Reg Hosp Unit West Jutland, Dept Med, Herning, Denmark
[4] Odense Univ Hosp, Res Unit Infect Dis, Odense, Denmark
[5] Univ Southern Denmark, Odense, Denmark
[6] Hillerod Hosp, Dept Pulm & Infect Dis, Hillerod, Denmark
[7] Copenhagen Univ Hosp Amager & Hvidovre, Dept Infect Dis, Hvidovre, Denmark
[8] Copenhagen Univ Hosp, Rigshosp, Dept Infect Dis, Copenhagen, Denmark
关键词
Coronavirus disease 2019; COVID-19; SARS-CoV-2; diagnosis codes; ICD-10; positive predictive value; PPV; validation; epidemiology; EPIDEMIOLOGIC RESEARCH; DANISH; DATABASES; QUALITY; SYSTEM;
D O I
10.2147/CLEP.S309840
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Purpose: To examine the positive predictive value (PPV) of International Classification version 10 (ICD-10) diagnosis codes for Coronavirus disease 2019 (COVID-19). Patients and Methods: Medical record review of all patients assigned a diagnosis code of COVID-19 (DB342A or DB972A) at six Danish departments of infectious diseases from February 27 through May 4, 2020. Confirmed COVID-19 diagnosis was defined as either: 1) definite, a positive polymerase chain reaction (PCR) for severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2) on a respiratory sample combined with symptoms suggestive of COVID-19: 2) probable, clinical presentation of COVID-19 without detection of SARSCoV-2 and no alternative diagnoses considered more likely; or 3) possible, clinical presentation of COVID-19 without detection of SARS-CoV-2, and the patient was discharged or deceased before further investigations were carried out. We computed the PPV with 95% confidence intervals (CI) as the number of patients with confirmed (i.e., definite, probable, and possible) COVID-19 divided by the number of patients assigned a diagnosis code for COVID-19. Results: The study included 710 patients with a median age of 61 years (interquartile range [IQR] 47-74) and 285/710 (40%) were female. COVID-19 was confirmed in 706/710 (99%) with 705/710 (99%) categorized as definite, 1/710 (0.1%) as probable, and 0 patients as possible COVID-19. The diagnosis was disproven in 4/710 (0.6%) patients who were hospitalized due to bacterial pneumonia (n = 2), influenza (n = 1), and urinary tract infection (n = 1). The overall PPV for COVID-19 was 99% (95% CI 99-100) and remained consistently high among all subgroups including sex, age groups, calendar period, and stratified by diagnosis code and department of infectious diseases (range 97-100%). Conclusion: The overall PPV of diagnosis codes for COVID-19 in Denmark was high and may be suitable for future registry-based prognosis studies of COVID-19.
引用
收藏
页码:367 / 372
页数:6
相关论文
共 24 条
[11]   Prevalence of Asymptomatic SARS-CoV-2 Infection A Narrative Review [J].
Oran, Daniel P. ;
Topol, Eric J. .
ANNALS OF INTERNAL MEDICINE, 2020, 173 (05) :362-+
[12]   Considerations for pharmacoepidemiological analyses in the SARS-CoV-2 pandemic [J].
Pottegard, Anton ;
Kurz, Xavier ;
Moore, Nicholas ;
Christiansen, Christian F. ;
Klungel, Olaf .
PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2020, 29 (08) :825-831
[13]   Existing Data Sources in Clinical Epidemiology: The Danish COVID-19 Cohort [J].
Pottegard, Anton ;
Kristensen, Kasper Bruun ;
Reilev, Mette ;
Lund, Lars Christian ;
Ernst, Martin Thomsen ;
Hallas, Jesper ;
Thomsen, Reimar Wernich ;
Christiansen, Christian Fynbo ;
Sorensen, Henrik Toft ;
Johansen, Nanna Borup ;
Stovring, Henrik ;
Christensen, Steffen ;
Thomsen, Marianne Kragh ;
Husby, Anders ;
Voldstedlund, Marianne ;
Kjaer, Jesper ;
Brun, Nikolai C. .
CLINICAL EPIDEMIOLOGY, 2020, 12 :875-881
[14]   Characteristics and predictors of hospitalization and death in the first 11 122 cases with a positive RT-PCR test for SARS-CoV-2 in Denmark: a nationwide cohort [J].
Reilev, Mette ;
Kristensen, Kasper Bruun ;
Pottegard, Anton ;
Lund, Lars Christian ;
Hallas, Jesper ;
Ernst, Martin Thomsen ;
Christiansen, Christian Fynbo ;
Sorensen, Henrik Toft ;
Johansen, Nanna Borup ;
Brun, Nikolai Constantin ;
Voldstedlund, Marianne ;
Stovring, Henrik ;
Thomsen, Marianne Kragh ;
Christensen, Steffen ;
Gubbels, Sophie ;
Krause, Tyra Grove ;
Molbak, Kare ;
Thomsen, Reimar Wernich .
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2020, 49 (05) :1468-1481
[15]   Transmission of 2019-nCoV Infection from an Asymptomatic Contact in Germany [J].
Rothe, Camilla ;
Schunk, Mirjam ;
Sothmann, Peter ;
Bretzel, Gisela ;
Froeschl, Guenter ;
Wallrauch, Claudia ;
Zimmer, Thorbjoern ;
Thiel, Verena ;
Janke, Christian ;
Guggemos, Wolfgang ;
Seilmaier, Michael ;
Drosten, Christian ;
Vollmar, Patrick ;
Zwirglmaier, Katrin ;
Zange, Sabine ;
Woelfel, Roman ;
Hoelscher, Michael .
NEW ENGLAND JOURNAL OF MEDICINE, 2020, 382 (10) :970-971
[16]   Natural History of Asymptomatic SARS-CoV-2 Infection [J].
Sakurai, Aki ;
Sasaki, Toshiharu ;
Kato, Shigeo ;
Hayashi, Masamichi ;
Tsuzuki, Sei-ichiro ;
Ishihara, Takuma ;
Iwata, Mitsunaga ;
Morise, Zenichi ;
Doi, Yohei .
NEW ENGLAND JOURNAL OF MEDICINE, 2020, 383 (09) :885-886
[17]   The Danish health care system and epidemiological research: from health care contacts to database records [J].
Schmidt, Morten ;
Schmidt, Sigrun Alba Johannesdottir ;
Adelborg, Kasper ;
Sundboll, Jens ;
Laugesen, Kristina ;
Ehrenstein, Vera ;
Sorensen, Henrik Toft .
CLINICAL EPIDEMIOLOGY, 2019, 11 :563-591
[18]   The Danish National Patient Registry: a review of content, data quality, and research potential [J].
Schmidt, Morten ;
Schmidt, Sigrun Alba Johannesdottir ;
Sandegaard, Jakob Lynge ;
Ehrenstein, Vera ;
Pedersen, Lars ;
Sorensen, Henrik Toft .
CLINICAL EPIDEMIOLOGY, 2015, 7 :449-489
[19]   The Danish Civil Registration System as a tool in epidemiology [J].
Schmidt, Morten ;
Pedersen, Lars ;
Sorensen, Henrik Toft .
EUROPEAN JOURNAL OF EPIDEMIOLOGY, 2014, 29 (08) :541-549
[20]   A review of uses of health care utilization databases for epidemiologic research on therapeutics [J].
Schneeweiss, S ;
Avorn, J .
JOURNAL OF CLINICAL EPIDEMIOLOGY, 2005, 58 (04) :323-337