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Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
Published on: December 19, 2020
[Clinical features of COVID-19 infection among patients consulting at an emergency service]
Fernando Saldías Peñafiel1, Alejandro PeñAloza Tapia2, Daniela Farías Nesvadba2
1Departamento de Enfermedades Respiratorias, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.
Background:
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.
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