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SESSION TITLE: Chest Infections Posters SESSION TYPE: Original Investigation Posters PRESENTED ON: October 18-21, 2020 PURPOSE: The coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has resulted in more than 300,000 deaths worldwide as of June 1, 2020 Risk factors associated with mortality have been described in prior studies, however, data is still limited in many clinical settings The purpose of this study is to identify clinical predictors of mortality in hospitalized adult patients with COVID-19 in an urban hospital in Baltimore METHODS: Retrospective, single-center analysis of hospitalized adult patients (age >18) with confirmed COVID-19 on Nucleic Acid Amplification testing who had been discharged or had died by May 15, 2020 Demographics, comorbidities, travel history, Rothman Index (RI), admission vital signs, laboratory, and imaging were compared between survivors and non-survivors Unpaired t-tests and chi-square tests were utilized to determine unadjusted associations between clinical indicators and mortality Multivariate logistic regression models were used to determine associations simultaneously adjusting for multiple clinical indicators RESULTS: Of the 111 patients that were included in the study, 35 (32%) patients died and 76 (68%) patients were discharged either to home or a facility Mean age for the mortality group was 71 years and 63 years for the discharged group (p=0 008) Of the 5 patients with recent travel history, 80% died [p=0 03] In the mortality group, more than half (53 7%) were from a facility (p=0 001) 40 9% of patients in the mortality group had hyperlipidemia (p=0 08), 29 6% had hypertension (p=0 56), and 33 3% had diabetes (p=0 7) A higher mean temperature of 38 4 C on admission was observed in the mortality group compared to 37 9 C for the discharged group (p=0 03) In addition, among the admission laboratory values, mean procalcitonin and c-reactive protein (CRP) were higher in the mortality group (procalcitonin 1 97 vs 0 59 [p=0 03];CRP 165 vs 109 5 [p=0 005]) Initial mean RI was lower in the mortality group 45 4 compared to 64 7 for the discharged group (p=0 0003) In the multivariate logistic regression model, only age remained significant (p=0 01) CONCLUSIONS: More indicators of mortality have been identified in our study compared to prior studies: age, residing in facility, recent travel, temperature on admission, procalcitonin, CRP and RI Only age was statistically significant in multivariate logistic regression modeling Comorbidities (e g hypertension and diabetes) did not play a significant role in mortality CLINICAL IMPLICATIONS: Age was the only factor in multivariate analysis that predicted mortality in COVID-19 Other factors that were significant in univariate analysis may not have reached significance in multivariate models due to limited sample size However, these factors can potentially be used to develop a mortality risk calculator to help determine early ICU admission and aggressive treatment DISCLOSURES: No relevant relationships by Christopher D\'Adamo, source=Web Response No relevant relationships by Lee-Gardie Jean, source=Web Response No relevant relationships by Nicole Rapista, source=Web Response No relevant relationships by Sauradeep Sarkar, source=Web Response No relevant relationships by Sahib Singh, source=Web Response No relevant relationships by Shashi Yalamanchili, source=Web Response
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