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1.
J Am Coll Emerg Physicians Open ; 1(6): 1444-1449, 2020 Dec.
Artículo en Inglés | MEDLINE | ID: mdl-33230507

RESUMEN

Objective: To survey individuals who tested positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) at 1 of 4 Trinity Health of New England drive-through testing centers to assess their demographic information, hospitalization rate, preexisting conditions, possible routes of exposures, duration of symptoms, and subsequent household infections of healthcare workers (HCWs) when compared to non-HCWs. Methods: Data were collected via a telephone survey using a standardized script. Between March 1, 2020 and June 17, 2020, 28,903 people were tested at 4 Connecticut drive-through testing centers. Individuals who tested positive between March 16 and April 21, 2020 were randomly contacted. Of those individuals, 100 people agreed to complete the survey. Bivariate analysis and logistic regression were performed. Results: HCWs comprised 46% of the 100 survey respondents during the study period. Similarly, HCWs comprised 42.1% of all individuals who tested positive and listed an employer between March 1 and June 17, 2020. HCWs reported a longer duration of symptoms (17.39 vs 13.44 days) and were more likely to report work as their route of exposure (80.4% vs 27.8%) than non-HCWs. Conclusions: HCWs may face a disproportionate risk of contracting COVID-19 and self-report a longer duration of symptoms than the general public. The data suggest a need for an increased recovery time away from work than is currently recommended by the Centers for Disease Control and Prevention, as well as an increase in infection precautions for HCWs.

3.
West J Emerg Med ; 21(4): 785-789, 2020 07 08.
Artículo en Inglés | MEDLINE | ID: mdl-32726242

RESUMEN

INTRODUCTION: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has spread rapidly since December 2019, resulting in a pandemic that has, as of May 24, 2020, yielded over 5.3 million confirmed cases and over 340,000 deaths. As businesses move to safely reopen and frontline healthcare workers (HCW) continue to face this crisis, it is essential that health officials know who in the population is at the greatest risk of mortality if hospitalized and, therefore, has the greatest need to protect themselves from being infected. We examined the factors that increase the risk of mortality among hospitalized COVID-19 patients. METHODS: This was a retrospective cohort study including confirmed COVID-19 patients admitted to the four Trinity Health of New England hospitals (THONE) in Connecticut and Massachusetts who either died or were discharged between March 1-April 22, 2020. Demographics, comorbidities, and outcomes of care were extracted from the electronic health record. A model of in-hospital mortality was made using a generalized linear model with binomial distribution and log link. RESULTS: The analysis included 346 patients: 229 discharged and 117 deceased. The likelihood of in-hospital mortality was increased for patients who were aged 60 or older (relative risk [RR] = 2.873; 95% confidence interval [CI], 1.733-4.764; p = <0.001), had diabetes (RR = 1.432; 95% CI,1.068-1.921; p = 0.016), or had chronic obstructive pulmonary disease (COPD) (RR = 1.410; 95% CI, 1.058-1.878; p = 0.019). Hyperlipidemia had a protective effect, reducing the likelihood of mortality (RR = 0.745; 95% CI, 0.568-0.975; p = 0.032). Sensitivity and specificity of the model were 51.4% and 88.4%, respectively. CONCLUSIONS: Being age 60 or older or having a history of diabetes or COPD are the most useful risk factors associated with mortality in hospitalized COVID-19 patients. As states ease stay-at-home orders, risk factors of severe disease can be used to identify those more likely to have worse outcomes if infected and hospitalized and, therefore, who in particular should continue to follow public health guidelines for avoiding infection: stay home if possible; practice physical distancing; and wear a facemask.


Asunto(s)
Betacoronavirus , Infecciones por Coronavirus/mortalidad , Neumonía Viral/mortalidad , Factores de Edad , Anciano , COVID-19 , Estudios de Cohortes , Comorbilidad , Connecticut/epidemiología , Diabetes Mellitus/epidemiología , Femenino , Mortalidad Hospitalaria , Humanos , Masculino , Massachusetts/epidemiología , Persona de Mediana Edad , Pandemias , Enfermedad Pulmonar Obstructiva Crónica/epidemiología , Estudios Retrospectivos , Factores de Riesgo , SARS-CoV-2
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