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Positive Predictive Value of the ICD-10 Diagnosis Code for Long-COVID.
- Source :
-
Clinical epidemiology [Clin Epidemiol] 2022 Feb 09; Vol. 14, pp. 141-148. Date of Electronic Publication: 2022 Feb 09 (Print Publication: 2022). - Publication Year :
- 2022
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Abstract
- Purpose: To examine the positive predictive value (PPV) of International Classification version 10 (ICD-10) diagnosis codes for long coronavirus disease 2019 (long-COVID) in a Danish Health registry.<br />Patients and Methods: This was a medical record review of all patients with a diagnosis code of long-COVID (DB948A) at all hospitals in the North Denmark Region from February 27, 2020 through June 30, 2021. Confirmed long-COVID was categorized as fulfillment of all three criteria: (1) a positive polymerase chain reaction (PCR) test for SARS-CoV-2 on a respiratory sample or a positive serum antibody test, (2) symptoms suggestive of long-COVID with no other diagnosis considered more likely, and (3) symptom duration >6 weeks.<br />Results: A total of 306 patients were assigned a hospital diagnosis code for long-COVID corresponding to 1.4% of all SARS-CoV-2 positive individuals during the study period (n=21,727). Next, 40 patients were excluded due to incomplete diagnostic evaluation at time of record review leaving 266 patients for analysis. The patients had a median age of 51 years (interquartile range 43-60) and 175/266 (66%) were females. Long-COVID was confirmed in 249/266 yielding an overall PPV of 94% (95%CI: 90-96) and did not differ substantially according to most age groups, sex, previous hospitalization for COVID-19, or by using 12 weeks of symptom duration as cut-off. The PPV was low for children and adolescents (n=5), the very elderly (n=9), and those included by secondary long-COVID diagnoses (n=10).<br />Conclusion: The overall PPV of diagnosis codes for long-COVID in the North Denmark Region was high and was likely suitable for future registry-based studies of long-COVID. Caution is advised at the extremes of age and secondary diagnosis codes.<br />Competing Interests: The authors report no conflicts of interest in this work.<br /> (© 2022 Duerlund et al.)
Details
- Language :
- English
- ISSN :
- 1179-1349
- Volume :
- 14
- Database :
- MEDLINE
- Journal :
- Clinical epidemiology
- Publication Type :
- Academic Journal
- Accession number :
- 35177935
- Full Text :
- https://doi.org/10.2147/CLEP.S344515