Evaluación de los predictores clínicos de infección respiratoria aguda por coronavirus SARS-CoV-2 en población adulta



Título del documento: Evaluación de los predictores clínicos de infección respiratoria aguda por coronavirus SARS-CoV-2 en población adulta
Revista: Revista médica de Chile
Base de datos: PERIÓDICA
Número de sistema: 000449370
ISSN: 0034-9887
Autores: 1
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Instituciones: 1Pontificia Universidad Católica de Chile, Facultad de Medicina, Santiago de Chile. Chile
Año:
Periodo: Ago
Volumen: 149
Número: 8
Paginación: 1107-1118
País: Chile
Idioma: Español
Tipo de documento: Artículo
Enfoque: Analítico, descriptivo
Resumen en inglés COVID-19 is a serious public health problem worldwide. Aim: To describe the clinical features of COVID-19 infection in adult patients consulting at an Emergency Service. Material and Methods: Descriptive prospective study of adult patients with suspected COVID-19 consulting between April 1 and July 31, 2020, at the Emergency Service of a clinical hospital. Clinical features, chronic comorbidities and demographic data were recorded. Results: We assessed 2,958 adult patients aged 42 ± 15 years (46% males). In 54% of them, COVID-19 infection was confirmed, 40% had preexisting diseases, especially hypertension (15%), hypothyroidism (6%), diabetes (6%), asthma (5%) and obesity (6%). The main clinical manifestations associated with COVID-19 were general malaise (79%), anorexia (38%), myalgia (64%), fever (52%), headache (70%), anosmia/dysgeusia (60%), cough (56%), dyspnea (54%) and diarrhea (36%). In the multivariate analysis, the main clinical predictors of COVID-19 infection were malaise, anorexia, fever, myalgia, headache, nasal congestion, cough, expectoration, anosmia/dysgeusia, and history of close contact with a SARS-CoV-2 patient. Odynophagia and chest discomfort were negative predictors of the disease. The history of fever associated with anorexia, cough, and dyspnea or anosmia/dysgeusia and close contact with a SARS-CoV-2 patient had high specificity and positive predictive value for COVID-19 infection. Conclusions: Clinical features of COVID-19 infection were highly unspecific in these patients. Clinical diagnostic prediction models could be useful to support healthcare decision making at primary care setting
Disciplinas: Medicina
Palabras clave: Neumología,
Virus,
Diagnóstico,
COVID-19,
Infecciones respiratorias,
Factores pronósticos,
Factores de riesgo
Keyword: Pneumology,
Virus,
Diagnosis,
COVID-19,
Respiratory infections,
Prognostic factors,
Risk factors
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