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Positive Predictive Value of ICD-10 Diagnosis Codes for COVID-19
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 depa...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8164665/ https://www.ncbi.nlm.nih.gov/pubmed/34079379 http://dx.doi.org/10.2147/CLEP.S309840 |
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author | Bodilsen, Jacob Leth, Steffen Nielsen, Stig Lønberg Holler, Jon Gitz Benfield, Thomas Omland, Lars Haukali |
author_facet | Bodilsen, Jacob Leth, Steffen Nielsen, Stig Lønberg Holler, Jon Gitz Benfield, Thomas Omland, Lars Haukali |
author_sort | Bodilsen, Jacob |
collection | PubMed |
description | 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 SARS-CoV-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. |
format | Online Article Text |
id | pubmed-8164665 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-81646652021-06-01 Positive Predictive Value of ICD-10 Diagnosis Codes for COVID-19 Bodilsen, Jacob Leth, Steffen Nielsen, Stig Lønberg Holler, Jon Gitz Benfield, Thomas Omland, Lars Haukali Clin Epidemiol Original Research 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 SARS-CoV-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. Dove 2021-05-25 /pmc/articles/PMC8164665/ /pubmed/34079379 http://dx.doi.org/10.2147/CLEP.S309840 Text en © 2021 Bodilsen et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Bodilsen, Jacob Leth, Steffen Nielsen, Stig Lønberg Holler, Jon Gitz Benfield, Thomas Omland, Lars Haukali Positive Predictive Value of ICD-10 Diagnosis Codes for COVID-19 |
title | Positive Predictive Value of ICD-10 Diagnosis Codes for COVID-19 |
title_full | Positive Predictive Value of ICD-10 Diagnosis Codes for COVID-19 |
title_fullStr | Positive Predictive Value of ICD-10 Diagnosis Codes for COVID-19 |
title_full_unstemmed | Positive Predictive Value of ICD-10 Diagnosis Codes for COVID-19 |
title_short | Positive Predictive Value of ICD-10 Diagnosis Codes for COVID-19 |
title_sort | positive predictive value of icd-10 diagnosis codes for covid-19 |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8164665/ https://www.ncbi.nlm.nih.gov/pubmed/34079379 http://dx.doi.org/10.2147/CLEP.S309840 |
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