Resource Profile: The Regenstrief Institute COVID-19 Research Data Commons (CoRDaCo)

Abstract

The primary objective of the COVID-19 Research Data Commons (CoRDaCo) is to provide broad and efficient access to a large corpus of clinical data related to COVID-19 in Indiana, facilitating research and discovery. This curated collection of data elements provides information on a significant portion of COVID-19 positive patients in the State from the beginning of the pandemic, as well as two years of health information prior its onset. CoRDaCo combines data from multiple sources, including clinical data from a large, regional health information exchange, clinical data repositories of two health systems, and state laboratory reporting and vital records, as well as geographic-based social variables. Clinical data cover information such as healthcare encounters, vital measurements, laboratory orders and results, medications, diagnoses, the Charlson Comorbidity Index and Pediatric Early Warning Score, COVID-19 vaccinations, mechanical ventilation, restraint use, intensive care unit and ICU and hospital lengths of stay, and mortality. Interested researchers can visit ridata.org or email askrds@regenstrief.org to discuss access to CoRDaCo.Key Features: CoRDaCo includes patient-level data on diagnosis and treatment, healthcare utilization, outcomes, and demographics. The level of detail available for each patient varies depending on the source of the clinical data. CoRDaCo uses geographic identifiers to link patient-specific data to area-level social factors, such as census variables and social deprivation indices. As of 4/30/21, the CoRDaCo cohort consists of over 776,000 cases, including granular data on over 15,000 patients who were admitted to an intensive care unit, and over 1,362,000 COVID-19-negative controls. Data is currently refreshed two times per month. The most prevalent comorbidities in the data set include hypertension, diabetes, chronic pulmonary disease, renal disease, cancer, and congestive heart failure.