Manifestaciones clínicas y predictores de gravedad en pacientes adultos con infección respiratoria aguda por coronavirus SARS-CoV-2 / Clinical features and predictors of severity in 1022 adults with COVID-19
Rev. méd. Chile
; 148(10): 1387-1397, oct. 2020. tab
Article
in Spanish
| LILACS
| ID: biblio-1389230
Responsible library:
CL126.2
ABSTRACT
BACKGROUND:
In December 2019, coronavirus disease 2019 (COVID-19) emerged in Wuhan city and spread rapidly throughout China and the world.AIM:
To describe the clinical features, risk factors, and predictors of hospitalization in adult patients treated for acute respiratory infections associated with coronavirus SARS-CoV-2. MATERIAL ANDMETHODS:
Descriptive prospective study of ambulatory and hospitalized adult patients with confirmed COVID-19 attended between April 1 and May 31, 2020. Clinical features, chronic comorbidities and demographic data were recorded, and patients were followed for two months as outpatients.RESULTS:
We assessed 1,022 adults aged 41 ± 14 years (50% men) with laboratory-confirmed COVID-19. One-third had comorbidities, specially hypertension (12.5%), hypothyroidism (6.6%), asthma (5.4%) and diabetes (4.5%). Hospital admission was required in 11%, 5.2% were admitted to critical care unit and 0.9% were connected to mechanical ventilation. Common symptoms included fatigue (55.4%), fever (52.5%), headache (68.6%), anosmia/dysgeusia (53.2%), dry cough (53.4%), dyspnea (27.4%) and diarrhea (35.5%). One third of patients reported persistence of symptoms at one-month follow-up, specially fatigue, cough and dyspnea. In the multivariate analysis, age, fever, cough, dyspnea and immunosuppression were associated with hospitalization and ICU admission. Age, male sex and moderate-severe dyspnea were associated with requirement of mechanical ventilation. The main predictors of prolonged clinical course were female sex, presence of comorbidities, history of dyspnea, cough, myalgia and abdominal pain.CONCLUSIONS:
Clinical features of COVID-19 were highly unspecific. Prediction models for severity, will help medical decision making at the primary care setting.
Full text:
Available
Collection:
International databases
Health context:
Neglected Diseases
Health problem:
Diarrhea
Database:
LILACS
Main subject:
Coronavirus Infections
/
COVID-19
Type of study:
Observational study
/
Prognostic study
/
Risk factors
Limits:
Adult
/
Female
/
Humans
/
Male
Language:
Spanish
Journal:
Rev. méd. Chile
Journal subject:
Medicine
Year:
2020
Document type:
Article
Affiliation country:
Chile
Institution/Affiliation country:
Pontificia Universidad Católica de Chile/CL