Cargando…

Clinical features and predictors of severity in COVID-19 patients with critical illness in Singapore

We aim to describe a case series of critically and non-critically ill COVID-19 patients in Singapore. This was a multicentered prospective study with clinical and laboratory details. Details for fifty uncomplicated COVID-19 patients and ten who required mechanical ventilation were collected. We comp...

Descripción completa

Detalles Bibliográficos
Autores principales: Puah, Ser Hon, Young, Barnaby Edward, Chia, Po Ying, Ho, Vui Kian, Loh, Jiashen, Gokhale, Roshni Sadashiv, Tan, Seow Yen, Sewa, Duu Wen, Kalimuddin, Shirin, Tan, Chee Keat, Pada, Surinder K. M. S., Cove, Matthew Edward, Chai, Louis Yi Ann, Parthasarathy, Purnima, Ho, Benjamin Choon Heng, Ng, Jensen Jiansheng, Ling, Li Min, Abisheganaden, John A., Lee, Vernon J. M., Tan, Cher Heng, Lin, Raymond T. P., Leo, Yee Sin, Lye, David C., Yeo, Tsin Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8021583/
https://www.ncbi.nlm.nih.gov/pubmed/33820944
http://dx.doi.org/10.1038/s41598-021-81377-3
_version_ 1783674776288493568
author Puah, Ser Hon
Young, Barnaby Edward
Chia, Po Ying
Ho, Vui Kian
Loh, Jiashen
Gokhale, Roshni Sadashiv
Tan, Seow Yen
Sewa, Duu Wen
Kalimuddin, Shirin
Tan, Chee Keat
Pada, Surinder K. M. S.
Cove, Matthew Edward
Chai, Louis Yi Ann
Parthasarathy, Purnima
Ho, Benjamin Choon Heng
Ng, Jensen Jiansheng
Ling, Li Min
Abisheganaden, John A.
Lee, Vernon J. M.
Tan, Cher Heng
Lin, Raymond T. P.
Leo, Yee Sin
Lye, David C.
Yeo, Tsin Wen
author_facet Puah, Ser Hon
Young, Barnaby Edward
Chia, Po Ying
Ho, Vui Kian
Loh, Jiashen
Gokhale, Roshni Sadashiv
Tan, Seow Yen
Sewa, Duu Wen
Kalimuddin, Shirin
Tan, Chee Keat
Pada, Surinder K. M. S.
Cove, Matthew Edward
Chai, Louis Yi Ann
Parthasarathy, Purnima
Ho, Benjamin Choon Heng
Ng, Jensen Jiansheng
Ling, Li Min
Abisheganaden, John A.
Lee, Vernon J. M.
Tan, Cher Heng
Lin, Raymond T. P.
Leo, Yee Sin
Lye, David C.
Yeo, Tsin Wen
author_sort Puah, Ser Hon
collection PubMed
description We aim to describe a case series of critically and non-critically ill COVID-19 patients in Singapore. This was a multicentered prospective study with clinical and laboratory details. Details for fifty uncomplicated COVID-19 patients and ten who required mechanical ventilation were collected. We compared clinical features between the groups, assessed predictors of intubation, and described ventilatory management in ICU patients. Ventilated patients were significantly older, reported more dyspnea, had elevated C-reactive protein and lactate dehydrogenase. A multivariable logistic regression model identified respiratory rate (aOR 2.83, 95% CI 1.24–6.47) and neutrophil count (aOR 2.39, 95% CI 1.34–4.26) on admission as independent predictors of intubation with area under receiver operating characteristic curve of 0.928 (95% CI 0.828–0.979). Median APACHE II score was 19 (IQR 17–22) and PaO2/FiO2 ratio before intubation was 104 (IQR 89–129). Median peak FiO2 was 0.75 (IQR 0.6–1.0), positive end-expiratory pressure 12 (IQR 10–14) and plateau pressure 22 (IQR 18–26) in the first 24 h of ventilation. Median duration of ventilation was 6.5 days (IQR 5.5–13). There were no fatalities. Most COVID-19 patients in Singapore who required mechanical ventilation because of ARDS were extubated with no mortality.
format Online
Article
Text
id pubmed-8021583
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-80215832021-04-07 Clinical features and predictors of severity in COVID-19 patients with critical illness in Singapore Puah, Ser Hon Young, Barnaby Edward Chia, Po Ying Ho, Vui Kian Loh, Jiashen Gokhale, Roshni Sadashiv Tan, Seow Yen Sewa, Duu Wen Kalimuddin, Shirin Tan, Chee Keat Pada, Surinder K. M. S. Cove, Matthew Edward Chai, Louis Yi Ann Parthasarathy, Purnima Ho, Benjamin Choon Heng Ng, Jensen Jiansheng Ling, Li Min Abisheganaden, John A. Lee, Vernon J. M. Tan, Cher Heng Lin, Raymond T. P. Leo, Yee Sin Lye, David C. Yeo, Tsin Wen Sci Rep Article We aim to describe a case series of critically and non-critically ill COVID-19 patients in Singapore. This was a multicentered prospective study with clinical and laboratory details. Details for fifty uncomplicated COVID-19 patients and ten who required mechanical ventilation were collected. We compared clinical features between the groups, assessed predictors of intubation, and described ventilatory management in ICU patients. Ventilated patients were significantly older, reported more dyspnea, had elevated C-reactive protein and lactate dehydrogenase. A multivariable logistic regression model identified respiratory rate (aOR 2.83, 95% CI 1.24–6.47) and neutrophil count (aOR 2.39, 95% CI 1.34–4.26) on admission as independent predictors of intubation with area under receiver operating characteristic curve of 0.928 (95% CI 0.828–0.979). Median APACHE II score was 19 (IQR 17–22) and PaO2/FiO2 ratio before intubation was 104 (IQR 89–129). Median peak FiO2 was 0.75 (IQR 0.6–1.0), positive end-expiratory pressure 12 (IQR 10–14) and plateau pressure 22 (IQR 18–26) in the first 24 h of ventilation. Median duration of ventilation was 6.5 days (IQR 5.5–13). There were no fatalities. Most COVID-19 patients in Singapore who required mechanical ventilation because of ARDS were extubated with no mortality. Nature Publishing Group UK 2021-04-05 /pmc/articles/PMC8021583/ /pubmed/33820944 http://dx.doi.org/10.1038/s41598-021-81377-3 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Puah, Ser Hon
Young, Barnaby Edward
Chia, Po Ying
Ho, Vui Kian
Loh, Jiashen
Gokhale, Roshni Sadashiv
Tan, Seow Yen
Sewa, Duu Wen
Kalimuddin, Shirin
Tan, Chee Keat
Pada, Surinder K. M. S.
Cove, Matthew Edward
Chai, Louis Yi Ann
Parthasarathy, Purnima
Ho, Benjamin Choon Heng
Ng, Jensen Jiansheng
Ling, Li Min
Abisheganaden, John A.
Lee, Vernon J. M.
Tan, Cher Heng
Lin, Raymond T. P.
Leo, Yee Sin
Lye, David C.
Yeo, Tsin Wen
Clinical features and predictors of severity in COVID-19 patients with critical illness in Singapore
title Clinical features and predictors of severity in COVID-19 patients with critical illness in Singapore
title_full Clinical features and predictors of severity in COVID-19 patients with critical illness in Singapore
title_fullStr Clinical features and predictors of severity in COVID-19 patients with critical illness in Singapore
title_full_unstemmed Clinical features and predictors of severity in COVID-19 patients with critical illness in Singapore
title_short Clinical features and predictors of severity in COVID-19 patients with critical illness in Singapore
title_sort clinical features and predictors of severity in covid-19 patients with critical illness in singapore
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8021583/
https://www.ncbi.nlm.nih.gov/pubmed/33820944
http://dx.doi.org/10.1038/s41598-021-81377-3
work_keys_str_mv AT puahserhon clinicalfeaturesandpredictorsofseverityincovid19patientswithcriticalillnessinsingapore
AT youngbarnabyedward clinicalfeaturesandpredictorsofseverityincovid19patientswithcriticalillnessinsingapore
AT chiapoying clinicalfeaturesandpredictorsofseverityincovid19patientswithcriticalillnessinsingapore
AT hovuikian clinicalfeaturesandpredictorsofseverityincovid19patientswithcriticalillnessinsingapore
AT lohjiashen clinicalfeaturesandpredictorsofseverityincovid19patientswithcriticalillnessinsingapore
AT gokhaleroshnisadashiv clinicalfeaturesandpredictorsofseverityincovid19patientswithcriticalillnessinsingapore
AT tanseowyen clinicalfeaturesandpredictorsofseverityincovid19patientswithcriticalillnessinsingapore
AT sewaduuwen clinicalfeaturesandpredictorsofseverityincovid19patientswithcriticalillnessinsingapore
AT kalimuddinshirin clinicalfeaturesandpredictorsofseverityincovid19patientswithcriticalillnessinsingapore
AT tancheekeat clinicalfeaturesandpredictorsofseverityincovid19patientswithcriticalillnessinsingapore
AT padasurinderkms clinicalfeaturesandpredictorsofseverityincovid19patientswithcriticalillnessinsingapore
AT covematthewedward clinicalfeaturesandpredictorsofseverityincovid19patientswithcriticalillnessinsingapore
AT chailouisyiann clinicalfeaturesandpredictorsofseverityincovid19patientswithcriticalillnessinsingapore
AT parthasarathypurnima clinicalfeaturesandpredictorsofseverityincovid19patientswithcriticalillnessinsingapore
AT hobenjaminchoonheng clinicalfeaturesandpredictorsofseverityincovid19patientswithcriticalillnessinsingapore
AT ngjensenjiansheng clinicalfeaturesandpredictorsofseverityincovid19patientswithcriticalillnessinsingapore
AT linglimin clinicalfeaturesandpredictorsofseverityincovid19patientswithcriticalillnessinsingapore
AT abisheganadenjohna clinicalfeaturesandpredictorsofseverityincovid19patientswithcriticalillnessinsingapore
AT leevernonjm clinicalfeaturesandpredictorsofseverityincovid19patientswithcriticalillnessinsingapore
AT tancherheng clinicalfeaturesandpredictorsofseverityincovid19patientswithcriticalillnessinsingapore
AT linraymondtp clinicalfeaturesandpredictorsofseverityincovid19patientswithcriticalillnessinsingapore
AT leoyeesin clinicalfeaturesandpredictorsofseverityincovid19patientswithcriticalillnessinsingapore
AT lyedavidc clinicalfeaturesandpredictorsofseverityincovid19patientswithcriticalillnessinsingapore
AT yeotsinwen clinicalfeaturesandpredictorsofseverityincovid19patientswithcriticalillnessinsingapore
AT clinicalfeaturesandpredictorsofseverityincovid19patientswithcriticalillnessinsingapore