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Evaluation of using ICD-10 code data for respiratory syncytial virus surveillance.

ABSTRACT: BACKGROUND:Respiratory syncytial virus (RSV) is the most common cause of acute lower respiratory tract infection (ALRI) in young children. ICD-10-based syndromic surveillance can transmit data rapidly in a standardized way. OBJECTIVES:We investigated the use of RSV-specific ICD-10 codes for RSV surveillance. METHODS:We performed a retrospective descriptive data analysis based on existing ICD-10-based surveillance systems for ALRI in primary and secondary care and a linked virological surveillance in Germany. We described RSV epidemiology and compared the epidemiological findings based on ICD-10 and virological data. We calculated sensitivity and specificity of RSV-specific ICD-10 codes and in combination with ICD-10 codes for acute respiratory infections (ARI) for the identification of laboratory-confirmed RSV infections. RESULTS:Based on the ICD-10 and virological data, epidemiology of RSV was described, and common findings were found. The RSV-specific ICD-10 codes had poor sensitivity 6% (95%-CI: 3%-12%) and high specificity 99.8% (95%-CI: 99.6%-99.9%). In children <5 years and in RSV seasons, the sensitivities of RSV-specific ICD-10 codes combined with general ALRI ICD-10 codes J18.-, J20.- and with J12.-, J18.-, J20.-, J21.-, J22 were moderate (44%, 95%-CI: 30%-59%). The specificities of both combinations remained high (91%, 95%-CI: 86%-94%; 90%, 95%-CI: 85%-94%). CONCLUSIONS:The use of RSV-specific ICD-10 codes may be a useful indicator to describe RSV epidemiology. However, RSV-specific ICD-10 codes underestimate the number of actual RSV infections. This can be overcome by combining RSV-specific and general ALRI ICD-10 codes. Further investigations are required to validate this approach in other settings.

SUBMITTER: Cai W

PROVIDER: S-EPMC7578302 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

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Evaluation of using ICD-10 code data for respiratory syncytial virus surveillance.

Cai Wei W Tolksdorf Kristin K Hirve Siddhivinayak S Schuler Ekkehard E Zhang Wenqing W Haas Walter W Buda Silke S

Influenza and other respiratory viruses 20190617 6

<h4>Background</h4>Respiratory syncytial virus (RSV) is the most common cause of acute lower respiratory tract infection (ALRI) in young children. ICD-10-based syndromic surveillance can transmit data rapidly in a standardized way.<h4>Objectives</h4>We investigated the use of RSV-specific ICD-10 codes for RSV surveillance.<h4>Methods</h4>We performed a retrospective descriptive data analysis based on existing ICD-10-based surveillance systems for ALRI in primary and secondary care and a linked v ...[more]

PMID: 31206246

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Project description:BACKGROUND:The phecode system was built upon the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) for phenome-wide association studies (PheWAS) using the electronic health record (EHR). OBJECTIVE:The goal of this paper was to develop and perform an initial evaluation of maps from the International Classification of Diseases, 10th Revision (ICD-10) and the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) codes to phecodes. METHODS:We mapped ICD-10 and ICD-10-CM codes to phecodes using a number of methods and resources, such as concept relationships and explicit mappings from the Centers for Medicare & Medicaid Services, the Unified Medical Language System, Observational Health Data Sciences and Informatics, Systematized Nomenclature of Medicine-Clinical Terms, and the National Library of Medicine. We assessed the coverage of the maps in two databases: Vanderbilt University Medical Center (VUMC) using ICD-10-CM and the UK Biobank (UKBB) using ICD-10. We assessed the fidelity of the ICD-10-CM map in comparison to the gold-standard ICD-9-CM phecode map by investigating phenotype reproducibility and conducting a PheWAS. RESULTS:We mapped >75% of ICD-10 and ICD-10-CM codes to phecodes. Of the unique codes observed in the UKBB (ICD-10) and VUMC (ICD-10-CM) cohorts, >90% were mapped to phecodes. We observed 70-75% reproducibility for chronic diseases and <10% for an acute disease for phenotypes sourced from the ICD-10-CM phecode map. Using the ICD-9-CM and ICD-10-CM maps, we conducted a PheWAS with a Lipoprotein(a) genetic variant, rs10455872, which replicated two known genotype-phenotype associations with similar effect sizes: coronary atherosclerosis (ICD-9-CM: P<.001; odds ratio (OR) 1.60 [95% CI 1.43-1.80] vs ICD-10-CM: P<.001; OR 1.60 [95% CI 1.43-1.80]) and chronic ischemic heart disease (ICD-9-CM: P<.001; OR 1.56 [95% CI 1.35-1.79] vs ICD-10-CM: P<.001; OR 1.47 [95% CI 1.22-1.77]). CONCLUSIONS:This study introduces the beta versions of ICD-10 and ICD-10-CM to phecode maps that enable researchers to leverage accumulated ICD-10 and ICD-10-CM data for PheWAS in the EHR.

Dataset Information

Evaluation of using ICD-10 code data for respiratory syncytial virus surveillance.

Publications

Evaluation of using ICD-10 code data for respiratory syncytial virus surveillance.

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