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Characteristics, comorbidities and survival analysis of young adults hospitalized with COVID-19 in New York City
Author(s) -
Brian Altonen,
Tatiana M. Arreglado,
Ofelia Leroux,
Max Murray-Ramcharan,
Ryan Engdahl
Publication year - 2020
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0243343
Subject(s) - medicine , comorbidity , nasal cannula , diabetes mellitus , young adult , respiratory distress , survival analysis , covid-19 , mechanical ventilation , pediatrics , mortality rate , surgery , cannula , disease , infectious disease (medical specialty) , endocrinology
This study reviewed 395 young adults, 18–35 year-old, admitted for COVID-19 to one of the eleven hospitals in New York City public health system. Demographics, comorbidities, clinical course, outcomes and characteristics linked to hospitalization were analyzed including temporal survival analysis. Fifty-seven percent of patients had a least one major comorbidity. Mortality without comorbidity was in 3.8% patients. Further investigation of admission features and medical history was conducted. Comorbidities associated with mortality were diabetes (n = 54 deceased/73 diagnosed,74% tested POS;98.2% with diabetic history deceased; Wilcoxon p ( Wp ) = .044), hypertension (14/44,32% POS, 25.5%; Wp = 0.030), renal (6/16, 37.5% POS,11%; Wp = 0.000), and cardiac (6/21, 28.6% POS,11%; Wp = 0.015). Kaplan survival plots were statistically significant for these four indicators. Data suggested glucose >215 or hemoglobin A1c >9.5 for young adults on admission was associated with increased mortality. Clinically documented respiratory distress on admission was statistically significant outcome related to mortality ( X 2 = 236.6842, df = 1, p < .0001). Overall, 28.9% required supportive oxygen beyond nasal cannula. Nasal cannula oxygen alone was required for 71.1%, who all lived. Non-invasive ventilation was required for 7.8%, and invasive mechanical ventilation 21.0% (in which 7.3% lived, 13.7% died). Temporal survival analysis demonstrated statistically significant response for Time to Death <10 days ( X 2 = 18.508, df = 1, p = .000); risk lessened considerably for 21 day cut off ( X 2 = 3.464, df = 1, p = .063), followed by 31 or more days of hospitalization ( X 2 = 2.212, df = 1, p = .137).

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