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Postgrad Med ; 133(6): 592-598, 2021 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-34171981

RESUMO

OBJECTIVES: COVID19 pandemic has forced physicians from different specialties to assist cases overload. Our aim is to assess gastroenterologist's assistance in COVID-19 by assessing mortality, ICU admission, and length of stay, and seek for risk factors for in-hospital mortality and longer hospital stay. METHODS: A total of 41 COVID-19 patients assisted by gastroenterologist (GI cohort) and 137 assisted by pulmonologist, internal medicine practitioners, and infectious disease specialists (COVID expert cohort) during October-November 2020 were prospectively collected. Clinical, demographic, imaging, and laboratory markers were collected and compared between both cohorts. Bivariate analysis and logistic regression were performed to search for risk factors of mortality and longer hospital stays. RESULTS: A total of 27 patients died (15.1%), 11 were admitted to ICU (6.1%). There were no differences between cohorts in mortality (14.6% vs 15.4%;p = 0.90), ICU admission (12.1% vs 4%;p = 0.13), and length of stay (6.67 ± 4 vs 7.15 ± 4.5 days; p = 0.58). PaO2/FiO2 on admission (OR 0.991;CI95% 0.984-0.998) and age > 70 (OR 17.54;CI95% 3.93-78.22) were independently related to mortality. Age > 70, history of malignancy, diabetes, and cardiovascular disease were related to longer hospital stays (p < 0.001, p = 0.03, p = 0.04, p = 0.02 respectively). CONCLUSIONS: COVID-19 assistance was similar between gastroenterologist and COVID experts when assessing mortality, ICU admission, and length of stay. Age>70 and decreased PaO2/FiO2 on admission were independent risk factors of mortality. Age and several comorbidities were related to longer hospital stay.


Assuntos
COVID-19 , Prova Pericial , Gastroenterologistas/estatística & dados numéricos , Tempo de Internação/estatística & dados numéricos , Fatores Etários , Idoso , COVID-19/diagnóstico , COVID-19/mortalidade , COVID-19/fisiopatologia , Comorbidade , Prova Pericial/métodos , Prova Pericial/estatística & dados numéricos , Feminino , Mortalidade Hospitalar , Hospitalização/estatística & dados numéricos , Humanos , Comunicação Interdisciplinar , Masculino , Prognóstico , Medição de Risco/métodos , Medição de Risco/estatística & dados numéricos , Fatores de Risco , SARS-CoV-2/isolamento & purificação , Espanha/epidemiologia
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