Back to Search
Start Over
Clinical characteristics and predictors of mechanical ventilation in patients with COVID-19 hospitalized in Southern Brazil
- Source :
- Revista Brasileira de Terapia Intensiva, Revista Brasileira de Terapia Intensiva, Volume: 32, Issue: 4, Pages: 487-492, Published: 27 NOV 2020, Repositório Institucional da UFRGS, Universidade Federal do Rio Grande do Sul (UFRGS), instacron:UFRGS, Revista Brasileira de Terapia Intensiva, Issue: ahead, Published: 27 NOV 2020
- Publication Year :
- 2020
- Publisher :
- Associação de Medicina Intensiva Brasileira - AMIB, 2020.
-
Abstract
- RESUMO Objetivo: Descrever as características clínicas e os preditores de ventilação mecânica em pacientes adultos internados com COVID-19. Métodos: Conduziu-se um estudo de coorte retrospectiva com inclusão de pacientes hospitalizados entre 17 de março e 3 de maio de 2020, que tiveram o diagnóstico de infecção pelo SARS-CoV-2. As características clínicas e demográficas foram extraídas de registros em prontuário eletrônico. Resultados: Incluíram-se no estudo 88 pacientes consecutivos. A mediana da idade dos pacientes foi de 63 anos (IQR: 49 - 71); 59 (67%) pacientes eram do sexo masculino, 65 (86%) tinham educação universitária e 67 (76%) tinham, no mínimo, uma comorbidade. Dentre eles, 29 (33%) pacientes foram admitidos à unidade de terapia intensiva, 18 (20%) necessitaram de ventilação mecânica e nove (10,2%) morreram durante a hospitalização. O tempo mediano de permanência na unidade de terapia intensiva e o tempo mediano de ventilação mecânica foram, respectivamente, de 23 e 29,5 dias. Idade acima ou igual a 65 anos foi fator de risco independente para ventilação mecânica (RC: 8,4; IC95% de 1,3 - 55,6; valor de p = 0,02). Conclusão: Nossos achados descrevem a primeira onda de pacientes brasileiros hospitalizados por COVID-19. Em nossa população, idade foi o maior preditor de insuficiência respiratória e necessidade de ventilação mecânica. Abstract Objective: This study aims to describe the clinical characteristics and predictors of mechanical ventilation of adult inpatients with COVID-19 in a single center. Methods: A retrospective cohort study was performed and included adult inpatients hospitalized from March 17th to May 3rd, 2020, who were diagnosed with SARS-CoV-2 infection. Clinical and demographic characteristics were extracted from electronic medical records. Results: Overall, 88 consecutive patients were included in this study. The median age of the patients was 63 years (IQR 49 - 71); 59 (67%) were male, 65 (86%) had a college degree and 67 (76%) had at least one comorbidity. Twenty-nine (33%) patients were admitted to the intensive care unit, 18 (20%) patients needed mechanical ventilation, and 9 (10.2%) died during hospitalization. The median length of stay in the intensive care unit and the median duration of mechanical ventilation was 23 and 29.5 days, respectively. An age ≥ 65 years was an independent risk factor for mechanical ventilation (OR 8.4 95%CI 1.3 - 55.6 p = 0.02). Conclusion: Our findings describe the first wave of Brazilian patients hospitalized for COVID-19. Age was the strongest predictor of respiratory insufficiency and the need for mechanical ventilation in our population.
- Subjects :
- Male
Pediatrics
medicine.medical_treatment
Coronavirus infections
030204 cardiovascular system & hematology
Critical Care and Intensive Care Medicine
Estudos de coorte
law.invention
Cohort Studies
0302 clinical medicine
law
Risk Factors
Infecções por coronavirus
030212 general & internal medicine
Aged, 80 and over
education.field_of_study
Medical record
Age Factors
General Medicine
Middle Aged
Intensive care unit
Hospitalization
Intensive Care Units
Respiração artificial
Cohort studies
Original Article
Female
Respiratory Insufficiency
Brazil
Cohort study
Adult
medicine.medical_specialty
Population
Infecções por coronavírus
03 medical and health sciences
medicine
Humans
Risk factor
education
Pandemics
Aged
Retrospective Studies
Mechanical ventilation
Pandemia
Fatores de risco
business.industry
SARS-CoV-2
COVID-19
Retrospective cohort study
Length of Stay
medicine.disease
Comorbidity
Respiration, Artificial
Risk factors
Respiration, artificial
business
Subjects
Details
- Language :
- English
- ISSN :
- 19824335 and 0103507X
- Volume :
- 32
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- Revista Brasileira de Terapia Intensiva
- Accession number :
- edsair.doi.dedup.....1bbd5ecc845f68b50ea7ff57bb03881e