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Cardiovascular Disease in Hospitalized Patients With a Diagnosis of Coronavirus From the Pre-COVID-19 Era in United States: National Analysis From 2016-2017.
Published Web Locationhttps://doi.org/10.1016/j.mayocp.2020.09.022
ObjectiveTo analyze the cardiovascular disease (CVD) burden in hospitalized patients with a diagnosis of coronavirus from the pre-coronavirus disease 2019 era in the United States.
Patients and methodsWe identified hospitalized adults with a diagnosis of coronavirus in a large US administrative database, the National (Nationwide) Inpatient Sample, from January 1, 2016, to December 3, 2017, to study patient demographic characteristics, clinical comorbidities, and outcomes (in-hospital mortality and health care resource utilization) based on the presence or absence of CVD.
ResultsA total of 21,300 hospitalized adults with a diagnosis of coronavirus in 2016 and 2017 from all across the United States were included in the final analysis; the mean age was 63.6 years, 11,033 (51.8%) were female, and 15,911 (74.7%) had public insurers. Among these hospitalized patients, 11,930 (56.0%) had a diagnosis of CVD. Compared with those without CVD, the patients with CVD were older (70.1 vs 55.4 years) and had higher Charlson comorbidity index scores (2.5 vs 1.6) and Elixhauser comorbidity index scores (4.3 vs 2.4) (all P<.001). After multivariable risk adjustment, patients with CVD had higher mortality than those without CVD (5.3% [632 of 11,930] vs 1.5% [140 of 9370]; adjusted odds ratio, 2.0 [95% CI, 1.2 to 3.4]; P=.008). The mean length of hospital stay (6.9 vs 6.1 days; P=.003), hospital charges ($78,377 vs $66,538; P=.002), and discharge to nursing home (24.6% [2945 of 11,930] vs 12.9% [1208 of 9370]; P<.001) were higher in those with CVD compared with the patients without CVD.
ConclusionCardiovascular disease was present in a notable proportion of hospitalized patients with coronavirus in the pre-coronavirus disease 2019 era in United States and was associated with higher risk of in-hospital mortality and health care resource utilization.
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