Journal article
Accuracy of US Administrative Claims Codes for the Diagnosis of Autoinflammatory Syndromes
Journal of clinical rheumatology, Vol.27(7), pp.278-281
10/01/2021
DOI: 10.1097/RHU.0000000000001319
PMID: 32028307
Abstract
Objective To determine the accuracy of case definitions for autoinflammatory syndromes (AISs) based on administrative claims codes compared with rheumatology records in the electronic medical record (EMR). Methods An AIS screening filter of administrative codes was applied to a large tertiary care EMR database to extract all possible AIS cases. We manually chart reviewed all patients who were evaluated by a rheumatologist to determine their reference standard diagnosis of adult onset Still's disease (AOSD), Behcet's disease (BD), and familial Mediterranean fever (FMF). We calculated sensitivity, specificity, positive predictive values, negative predictive values, and area under the receiver operating characteristic curve of specific codes for diagnosing AIS subtypes. Results We identified 273 individuals with possible AIS, of which 72 (26.4%) had a true AIS diagnosis, including 24 with AOSD, 32 with BD, and 9 with FMF. For all 3 AIS subtypes, the estimates of specificities and negative predictive values for specific administrative codes were excellent (>95%). Sensitivity estimates were excellent (>89%) for BD and FMF codes and lower for AOSD (46%-50%). Positive predictive values were excellent for BD (>99%) and AOSD (>86%) and lower for FMF (>53%). Area under the receiver operating characteristic curve estimates were excellent for BD (97%-98%) and FMF (93%) and very good for AOSD (75%). Conclusions This is the first study to characterize the accuracy of specific administrative codes for the diagnosis of AOSD, BD, and FMF in a large tertiary care EMR. Validation in external EMRs and linked EMR-administrative databases is needed to enable future clinical outcomes research of AIS.
Details
- Title: Subtitle
- Accuracy of US Administrative Claims Codes for the Diagnosis of Autoinflammatory Syndromes
- Creators
- Aleksander Lenert - University of IowaMaranda J. Russell - University of KentuckySuzanne Segerstrom - University of KentuckySujin Kim - University of Kentucky
- Resource Type
- Journal article
- Publication Details
- Journal of clinical rheumatology, Vol.27(7), pp.278-281
- Publisher
- Lippincott Williams & Wilkins
- DOI
- 10.1097/RHU.0000000000001319
- PMID
- 32028307
- ISSN
- 1076-1608
- eISSN
- 1536-7355
- Number of pages
- 4
- Grant note
- P30-AR-072577 / NIH-NIAMS; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Arthritis & Musculoskeletal & Skin Diseases (NIAMS) Brigham and Women's Hospital
- Language
- English
- Date published
- 10/01/2021
- Academic Unit
- Immunology; Internal Medicine
- Record Identifier
- 9984359795402771
Metrics
19 Record Views