About: 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

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: 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 Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	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
Creator	West, William Leung, Daniel Shah, Rashmee Bale, Margaret Berger, Ben Brown, Alyssa Crabb, Brendan Lyons, Ann Mann, Sara Martin, Valerie Peacock, Jordan
source	Medline; PMC
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 χ(2) 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 (χ(2) = 41.30; P < .001) and dyspnea (χ(2) = 14.25; P = .003) but not for cough (χ(2) = 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.
has issue date	2020-08-14(xsd:dateTime)
bibo:doi	10.1001/jamanetworkopen.2020.17703
bibo:pmid	32797176
has license	cc-by
schema:url	https://doi.org/10.1001/jamanetworkopen.2020.17703
resource representing a document's title	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
has PubMed Central identifier	PMC7428802
has PubMed identifier	32797176
schema:publication	JAMA Netw Open
resource representing a document's body	covid:PMC7428802#body_text
is schema:about of	named entity 'Revision' named entity 'TENTH' named entity 'REVISION' named entity 'International' named entity 'NPV' named entity 'fever' named entity 'interquartile range' named entity 'April 2020' named entity 'dyspnea' named entity 'EMR' named entity 'PPV' named entity 'ICD-10' named entity 'COVID' named entity 'randomly selected' named entity 'ICD-10' named entity 'SARS-CoV-2' named entity 'EMRs' named entity 'fever' named entity '20%' named entity 'dyspnea' named entity 'COVID' named entity 'outpatient setting' named entity 'cough' named entity 'cough' named entity 'EMR' named entity 'causative agent' named entity '95% CI' named entity 'EMR' named entity 'cough' named entity 'change over time' named entity 'fever' named entity '95% CI' named entity 'Health Problems' named entity 'REDCap' named entity 'Sensitivity, specificity' named entity 'dyspnea' named entity '95% CI' named entity 'ICD-10' named entity 'cough' named entity 'SARS-CoV-2' named entity 'Python' named entity 'fever' named entity 'infection' named entity 'cough' named entity 'dyspnea' named entity 'ICD-10' named entity 'randomly selected' named entity 'false-negative' named entity 'SARS-CoV-2' named entity 'cough' named entity 'dyspnea' named entity 'Health care organizations' named entity 'Statistically significant' named entity '95% CI' named entity '95% CI' named entity '0.98' named entity 'demographic characteristics' named entity 'ICD-10' named entity 'emergency department' named entity 'PPV' named entity 'COVID' named entity '95% CI' named entity 'fever' named entity 'COVID-19' named entity 'EMR' named entity 'PPV' named entity 'cough' named entity 'Data analysis' named entity 'Hispanic' named entity '95% CI' named entity 'SARS-CoV-2' named entity 'drive-through'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2025 OpenLink Software