Clinical characteristics and predictors of mechanical ventilation in patients with COVID-19 hospitalized in Southern Brazil

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Clinical characteristics and predictors of mechanical ventilation in patients with COVID-19 hospitalized in Southern Brazil. / Nader Bastos, Gisele Alsina; Zimmermann de Azambuja, Aline; Polanczyk, Carisi Anne; Dalmas Gräf, Débora; Weschenfelder Zorzo, Isabelle; Gasparetto Macari, Juçara; Schnor Haygert, Lúcia; Nasi, Luiz Antônio; Basso Gazzana, Marcelo; Bessel, Marina; Pitrez, Paulo Márcio; Pinheiro de Oliveira, Roselaine; Comerlato Scotta, Marcelo.

I: Revista Brasileira de Terapia Intensiva, Bind 32, Nr. 4, 2020, s. 487-492.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Nader Bastos, GA, Zimmermann de Azambuja, A, Polanczyk, CA, Dalmas Gräf, D, Weschenfelder Zorzo, I, Gasparetto Macari, J, Schnor Haygert, L, Nasi, LA, Basso Gazzana, M, Bessel, M, Pitrez, PM, Pinheiro de Oliveira, R & Comerlato Scotta, M 2020, 'Clinical characteristics and predictors of mechanical ventilation in patients with COVID-19 hospitalized in Southern Brazil', Revista Brasileira de Terapia Intensiva, bind 32, nr. 4, s. 487-492. https://doi.org/10.5935/0103-507x.20200082

APA

Nader Bastos, G. A., Zimmermann de Azambuja, A., Polanczyk, C. A., Dalmas Gräf, D., Weschenfelder Zorzo, I., Gasparetto Macari, J., Schnor Haygert, L., Nasi, L. A., Basso Gazzana, M., Bessel, M., Pitrez, P. M., Pinheiro de Oliveira, R., & Comerlato Scotta, M. (2020). Clinical characteristics and predictors of mechanical ventilation in patients with COVID-19 hospitalized in Southern Brazil. Revista Brasileira de Terapia Intensiva, 32(4), 487-492. https://doi.org/10.5935/0103-507x.20200082

Vancouver

Nader Bastos GA, Zimmermann de Azambuja A, Polanczyk CA, Dalmas Gräf D, Weschenfelder Zorzo I, Gasparetto Macari J o.a. Clinical characteristics and predictors of mechanical ventilation in patients with COVID-19 hospitalized in Southern Brazil. Revista Brasileira de Terapia Intensiva. 2020;32(4):487-492. https://doi.org/10.5935/0103-507x.20200082

Author

Nader Bastos, Gisele Alsina ; Zimmermann de Azambuja, Aline ; Polanczyk, Carisi Anne ; Dalmas Gräf, Débora ; Weschenfelder Zorzo, Isabelle ; Gasparetto Macari, Juçara ; Schnor Haygert, Lúcia ; Nasi, Luiz Antônio ; Basso Gazzana, Marcelo ; Bessel, Marina ; Pitrez, Paulo Márcio ; Pinheiro de Oliveira, Roselaine ; Comerlato Scotta, Marcelo. / Clinical characteristics and predictors of mechanical ventilation in patients with COVID-19 hospitalized in Southern Brazil. I: Revista Brasileira de Terapia Intensiva. 2020 ; Bind 32, Nr. 4. s. 487-492.

Bibtex

@article{06a584bc1a4446e5bee4dcd491f13794,
title = "Clinical characteristics and predictors of mechanical ventilation in patients with COVID-19 hospitalized in Southern Brazil",
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.",
author = "{Nader Bastos}, {Gisele Alsina} and {Zimmermann de Azambuja}, Aline and Polanczyk, {Carisi Anne} and {Dalmas Gr{\"a}f}, D{\'e}bora and {Weschenfelder Zorzo}, Isabelle and {Gasparetto Macari}, Ju{\c c}ara and {Schnor Haygert}, L{\'u}cia and Nasi, {Luiz Ant{\^o}nio} and {Basso Gazzana}, Marcelo and Marina Bessel and Pitrez, {Paulo M{\'a}rcio} and {Pinheiro de Oliveira}, Roselaine and {Comerlato Scotta}, Marcelo",
year = "2020",
doi = "10.5935/0103-507x.20200082",
language = "English",
volume = "32",
pages = "487--492",
journal = "Revista Brasileira de Terapia Intensiva",
issn = "0103-507X",
publisher = "Associacao de Medicina Intensiva Brasileira",
number = "4",

}

RIS

TY - JOUR

T1 - Clinical characteristics and predictors of mechanical ventilation in patients with COVID-19 hospitalized in Southern Brazil

AU - Nader Bastos, Gisele Alsina

AU - Zimmermann de Azambuja, Aline

AU - Polanczyk, Carisi Anne

AU - Dalmas Gräf, Débora

AU - Weschenfelder Zorzo, Isabelle

AU - Gasparetto Macari, Juçara

AU - Schnor Haygert, Lúcia

AU - Nasi, Luiz Antônio

AU - Basso Gazzana, Marcelo

AU - Bessel, Marina

AU - Pitrez, Paulo Márcio

AU - Pinheiro de Oliveira, Roselaine

AU - Comerlato Scotta, Marcelo

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

UR - https://doi.org/10.5935/0103-507X.20200082

U2 - 10.5935/0103-507x.20200082

DO - 10.5935/0103-507x.20200082

M3 - Journal article

VL - 32

SP - 487

EP - 492

JO - Revista Brasileira de Terapia Intensiva

JF - Revista Brasileira de Terapia Intensiva

SN - 0103-507X

IS - 4

ER -

ID: 323452315