Comparing Reliability of ICD-10-Based COVID-19 Comorbidity Data to Manual Chart Review, a Retrospective Cross-Sectional Study

BACKGROUND International Statistical Classification of Disease and Related Health Problems, 10th Revision codes (ICD-10) are used to characterize cohort comorbidities. Recent literature does not demonstrate standardized extraction methods. OBJECTIVE Compare COVID-19 cohort manual-chart-review and ICD-10-based comorbidity data; characterize the accuracy of different methods of extracting ICD-10-code-based comorbidity, including the temporal accuracy with respect to critical time points such as day of admission. METHODS Design: Retrospective cross-sectional study. MEASUREMENTS ICD-10-based-data performance characteristics relative to manual-chart-review. RESULTS Discharge billing diagnoses had a sensitivity of 0.82 (95% Confidence Interval [CI]: 0.79-0.85; comorbidity range 0.35-0.96). The past medical history table had a sensitivity of 0.72 (95% CI: 0.69-0.76; range 0.44-0.87). The active problem list had a sensitivity of 0.67 (95% CI: 0.63-0.71; range 0.47-0.71). On day of admission, the active problem list had a sensitivity of 0.58 (95% CI: 0.54-0.63; range 0.30-0.68) and past medical history table had a sensitivity of 0.48 (95% CI: 0.43-0.53; range 0.30-0.56). CONCLUSIONS AND RELEVANCE ICD-10-based comorbidity data performance varies depending on comorbidity, data source, and time of retrieval; there are notable opportunities for improvement. Future researchers should clearly outline comorbidity data source and validate against manual-chart-review. This article is protected by copyright. All rights reserved.