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Comparison of International Classification of Diseases and Related Health Problems, Tenth Revision Codes With Electronic Medical Records Among Patients With Symptoms of Coronavirus Disease 2019.
Crabb, Brendan T; Lyons, Ann; Bale, Margaret; Martin, Valerie; Berger, Ben; Mann, Sara; West, William B; Brown, Alyssa; Peacock, Jordan B; Leung, Daniel T; Shah, Rashmee U.
  • Crabb BT; Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City.
  • Lyons A; Data Science Services, University of Utah Health Sciences Center, Salt Lake City.
  • Bale M; Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City.
  • Martin V; Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City.
  • Berger B; Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City.
  • Mann S; Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City.
  • West WB; Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City.
  • Brown A; Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City.
  • Peacock JB; Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City.
  • Leung DT; Division of Infectious Diseases, University of Utah School of Medicine, Salt Lake City.
  • Shah RU; Division of Cardiovascular Medicine, University of Utah School of Medicine, Salt Lake City.
JAMA Netw Open ; 3(8): e2017703, 2020 08 03.
Article in English | MEDLINE | ID: covidwho-713159
ABSTRACT
Importance International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) codes are used to characterize coronavirus disease 2019 (COVID-19)-related symptoms. Their accuracy is unknown, which could affect downstream analyses.

Objective:

To compare the performance of fever-, cough-, and dyspnea-specific ICD-10 codes with medical record review among patients tested for COVID-19. Design, Setting, and

Participants:

This cohort study included patients who underwent quantitative reverse transcriptase-polymerase chain reaction testing for severe acute respiratory syndrome coronavirus 2 at University of Utah Health from March 10 to April 6, 2020. Data analysis was performed in April 2020. Main Outcomes and

Measures:

The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of ICD-10 codes for fever (R50*), cough (R05*), and dyspnea (R06.0*) were compared with manual medical record review. Performance was calculated overall and stratified by COVID-19 test result, sex, age group (<50, 50-64, and >64 years), and inpatient status. Bootstrapping was used to generate 95% CIs, and Pearson χ2 tests were used to compare different subgroups.

Results:

Among 2201 patients tested for COVD-19, the mean (SD) age was 42 (17) years; 1201 (55%) were female, 1569 (71%) were White, and 282 (13%) were Hispanic or Latino. The prevalence of fever was 66% (1444 patients), that of cough was 88% (1930 patients), and that of dyspnea was 64% (1399 patients). For fever, the sensitivity of ICD-10 codes was 0.26 (95% CI, 0.24-0.29), specificity was 0.98 (95% CI, 0.96-0.99), PPV was 0.96 (95% CI, 0.93-0.97), and NPV was 0.41 (95% CI, 0.39-0.43). For cough, the sensitivity of ICD-10 codes was 0.44 (95% CI, 0.42-0.46), specificity was 0.88 (95% CI, 0.84-0.92), PPV was 0.96 (95% CI, 0.95-0.97), and NPV was 0.18 (95% CI, 0.16-0.20). For dyspnea, the sensitivity of ICD-10 codes was 0.24 (95% CI, 0.22-0.26), specificity was 0.97 (95% CI, 0.96-0.98), PPV was 0.93 (95% CI, 0.90-0.96), and NPV was 0.42 (95% CI, 0.40-0.44). ICD-10 code performance was better for inpatients than for outpatients for fever (χ2 = 41.30; P < .001) and dyspnea (χ2 = 14.25; P = .003) but not for cough (χ2 = 5.13; P = .16). Conclusions and Relevance These findings suggest that ICD-10 codes lack sensitivity and have poor NPV for symptoms associated with COVID-19. This inaccuracy has implications for any downstream data model, scientific discovery, or surveillance that relies on these codes.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / International Classification of Diseases / Coronavirus Infections / Cough / Dyspnea / Electronic Health Records / Clinical Coding / Fever Type of study: Cohort study / Diagnostic study / Observational study / Prognostic study Topics: Long Covid Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: North America Language: English Journal: JAMA Netw Open Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / International Classification of Diseases / Coronavirus Infections / Cough / Dyspnea / Electronic Health Records / Clinical Coding / Fever Type of study: Cohort study / Diagnostic study / Observational study / Prognostic study Topics: Long Covid Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: North America Language: English Journal: JAMA Netw Open Year: 2020 Document Type: Article