2021
DOI: 10.3390/jcm10020318
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Prognostic Factors at Admission for In-Hospital Mortality from COVID-19 Infection in an Older Rural Population in Central Spain

Abstract: Background: Risk factors for in-hospital mortality from severe coronavirus disease 2019 (COVID-19) infection have been identified in studies mainly carried out in urban-based teaching hospitals. However, there is little data for rural populations attending community hospitals during the first wave of the pandemic. Methods: A retrospective, single-center cohort study was undertaken among inpatients at a rural community hospital in Spain. Electronic medical records of the 444 patients (56.5% males) admitted due … Show more

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Cited by 7 publications
(8 citation statements)
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“…Other studies have assessed the impact of COPD on mortality in hospitalized patients with SARS-CoV-2 infection. Taken together, these studies, like ours, indicate that the presence of COPD is associated with a 1.3–2.7 fold increased risk of in-hospital mortality [ [17] , [18] , [19] , [20] , [21] , [22] , [23] ]. But our own data shows that COPD is not associated with increased mortality in non-SARS-CoV-2 CAP in the short-term [ 4 ].…”
Section: Discussionsupporting
confidence: 80%
“…Other studies have assessed the impact of COPD on mortality in hospitalized patients with SARS-CoV-2 infection. Taken together, these studies, like ours, indicate that the presence of COPD is associated with a 1.3–2.7 fold increased risk of in-hospital mortality [ [17] , [18] , [19] , [20] , [21] , [22] , [23] ]. But our own data shows that COPD is not associated with increased mortality in non-SARS-CoV-2 CAP in the short-term [ 4 ].…”
Section: Discussionsupporting
confidence: 80%
“…Using a standardized approach, this study aims to evaluate, for the first time, the long-term consequences of the disease among survivors, after having characterized in detail a cohort of severe COVID-19 patients admitted to hospital during the first wave of the pandemic [15].…”
Section: Introductionmentioning
confidence: 99%
“…Predicting variables included in 25 out of the 71 prognostic models identified in our systematic review were present in our local cohort of patients [ 11 , 12 , 15 , 16 , 22 , 25 , 26 , 28 , 30 , 34 , 35 , 37 , 39 , 40 , 45 , 47 , 48 , 49 , 50 , 56 , 60 , 62 , 71 , 81 ], thus allowing external validation on its performance in a separate clinical setting [ 9 ] to assess how the rule could be used in real-life. Prediction rules were validated on subcohorts that included 208 to 444 patients (depending on the number of cases that had all the variables incorporated in each model).…”
Section: Resultsmentioning
confidence: 99%
“…Data on 444 adults with confirmed SARS-CoV-2 infections, who were admitted to our hospital due to severe COVID-19 between 26 February to 31 May 2020 and with a 90-day follow-up period available, were used for the external validation of selected clinical prediction rules. Detailed methods and clinical and demographic characteristics of this patient series have been previously described [ 9 , 10 ]. All patients were independent from the data used in the derivation of any of the included clinical prediction rules.…”
Section: Methodsmentioning
confidence: 99%