{"doi":"10.2337/dc20-1640","title":"Prevalence of Chronic Disease in Laboratory-Confirmed COVID-19 Cases and U.S. Adults (2017–2018)","abstract":"Chronic conditions such as diabetes have been implicated as risk factors for poor prognosis in hospitalized patients with coronavirus disease 2019 (COVID-19), the disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (1–3). A 19 June 2020 report from the Centers for Disease Control and Prevention (CDC) found a significant burden of chronic conditions in reported cases of laboratory-confirmed COVID-19 (4). Most case subjects identified from the CDC COVID-19 surveillance reporting were not hospitalized. The current study compares the prevalence of comorbid conditions in the CDC report to population-representative data. Our objective was to examine the extent to which the prevalence of underlying conditions in patients with laboratory-confirmed COVID-19 exceeded what would be expected in similarly aged adults in the general U.S. population.\n\nWe estimated the prevalence of four conditions—diabetes, cardiovascular disease, chronic kidney disease, and chronic obstructive pulmonary disease (COPD)—in the general U.S. adult population (aged ≥20 years) using the most recent National Health and Nutrition Examination Survey (NHANES) cycle (2017–2018, n = 4,757). We compared these estimates to those reported among patients with laboratory-confirmed COVID-19 in the CDC’s June 2020 report.\n\nWe used definitions of comorbidities designed to most closely approximate those used in the CDC report. We defined cardiovascular disease as a self-reported history of coronary heart disease, heart failure, heart attack, stroke, or hypertension (mean blood pressure …","journal":"Diabetes Care","year":2020,"id":82890,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":12,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9398,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":333107,"name":"Olive Tang","orcid":null,"position":2,"is_corresponding":false},{"id":266269,"name":"Elizabeth Selvin","orcid":"0000-0001-6923-7151","position":3,"is_corresponding":false},{"id":320584,"name":"Michael Fang","orcid":"0000-0003-2849-1780","position":0,"is_corresponding":true}],"reference_count":5,"raw_metadata":null,"created_at":"2026-07-18T21:53:48.608934Z","pmid":"32796010","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}