Cargando…

Predictors of in-hospital mortality in critically ill patients with COVID-19: a large dual tertiary centre study

OBJECTIVES: The aim of this study was to investigate the relationship of echocardiographic parameters, laboratory findings and clinical characteristics with in-hospital mortality in adult patients with COVID-19 admitted to the intensive care units (ICU) in two large collaborating tertiary UK centres...

Descripción completa

Detalles Bibliográficos
Autores principales: Cirillo, Chiara, Nakou, Eleni, Georgiopoulos, Georgios, Tountas, Christos, Victor, Kelly, Marvaki, Apostolia, Desai, Nishita, Fisher, Richard, Ryan, Matthew, Demir, Ozan M, Corcoran, Eleanor, O’Gallagher, Kevin, Sinclair, Hannah, Pericao, Ana, Dhariwal, Anender, Stylianidis, Vasileios, Hua, Alina, Nabeebaccus, Adam Abner, Pearson, Peter, Fonseca, Tiago, Osborne, Andrew, Toth, Eva, Zuckerman, Mark, Shah, Ajay M, Perera, Divaka, Monaghan, Mark, Carr-White, Gerald, Papachristidis, Alexandros
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9716800/
https://www.ncbi.nlm.nih.gov/pubmed/36456009
http://dx.doi.org/10.1136/bmjopen-2021-059358
_version_ 1784842769997496320
author Cirillo, Chiara
Nakou, Eleni
Georgiopoulos, Georgios
Tountas, Christos
Victor, Kelly
Marvaki, Apostolia
Desai, Nishita
Fisher, Richard
Ryan, Matthew
Demir, Ozan M
Corcoran, Eleanor
O’Gallagher, Kevin
Sinclair, Hannah
Pericao, Ana
Dhariwal, Anender
Stylianidis, Vasileios
Hua, Alina
Nabeebaccus, Adam Abner
Pearson, Peter
Fonseca, Tiago
Osborne, Andrew
Toth, Eva
Zuckerman, Mark
Shah, Ajay M
Perera, Divaka
Monaghan, Mark
Carr-White, Gerald
Papachristidis, Alexandros
author_facet Cirillo, Chiara
Nakou, Eleni
Georgiopoulos, Georgios
Tountas, Christos
Victor, Kelly
Marvaki, Apostolia
Desai, Nishita
Fisher, Richard
Ryan, Matthew
Demir, Ozan M
Corcoran, Eleanor
O’Gallagher, Kevin
Sinclair, Hannah
Pericao, Ana
Dhariwal, Anender
Stylianidis, Vasileios
Hua, Alina
Nabeebaccus, Adam Abner
Pearson, Peter
Fonseca, Tiago
Osborne, Andrew
Toth, Eva
Zuckerman, Mark
Shah, Ajay M
Perera, Divaka
Monaghan, Mark
Carr-White, Gerald
Papachristidis, Alexandros
author_sort Cirillo, Chiara
collection PubMed
description OBJECTIVES: The aim of this study was to investigate the relationship of echocardiographic parameters, laboratory findings and clinical characteristics with in-hospital mortality in adult patients with COVID-19 admitted to the intensive care units (ICU) in two large collaborating tertiary UK centres. DESIGN: Observational retrospective study. SETTING: The study was conducted in patients admitted to the ICU in two large tertiary centres in London, UK. PARTICIPANTS: Inclusion criteria were: (1) patients admitted to the ICU with a COVID-19 diagnosis over a period of 16 weeks. and (2) underwent a transthoracic echocardiogram on the first day of ICU admission as clinically indicated. No exclusion criteria applied. Three hundred patients were enrolled and completed the follow-up. PRIMARY AND SECONDARY OUTCOME MEASURES: The outcome measure in this study was in-hospital mortality in patients admitted to the ICU with COVID-19 infection. RESULTS: Older age (HR: 1.027, 95% CI 1.007 to 1.047; p=0.008), left ventricular (LV) ejection fraction<35% (HR: 5.908, 95% CI 2.609 to 13.376; p<0.001), and peak C reactive protein (CRP) (HR: 1.002, 95% CI 1.001 to 1.004, p=0.001) were independently correlated with mortality in a multivariable Cox regression model. Following multiple imputation of variables with more than 5% missing values, random forest analysis was applied to the imputed data. Right ventricular (RV) basal diameter (RVD1), RV mid-cavity diameter (RVD2), tricuspid annular plane systolic excursion, RV systolic pressure, hypertension, RV dysfunction, troponin level on admission, peak CRP, creatinine level on ICU admission, body mass index and age were found to have a high relative importance (> 0.7). CONCLUSIONS: In patients with COVID-19 in the ICU, both severely impaired LV function and impaired RV function may have adverse prognostic implications, but older age and inflammatory markers appear to have a greater impact. A combination of echocardiographic and laboratory investigations as well as demographic and clinical characteristics appears appropriate for risk stratification in patients with COVID-19 who are admitted to the ICU.
format Online
Article
Text
id pubmed-9716800
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-97168002022-12-03 Predictors of in-hospital mortality in critically ill patients with COVID-19: a large dual tertiary centre study Cirillo, Chiara Nakou, Eleni Georgiopoulos, Georgios Tountas, Christos Victor, Kelly Marvaki, Apostolia Desai, Nishita Fisher, Richard Ryan, Matthew Demir, Ozan M Corcoran, Eleanor O’Gallagher, Kevin Sinclair, Hannah Pericao, Ana Dhariwal, Anender Stylianidis, Vasileios Hua, Alina Nabeebaccus, Adam Abner Pearson, Peter Fonseca, Tiago Osborne, Andrew Toth, Eva Zuckerman, Mark Shah, Ajay M Perera, Divaka Monaghan, Mark Carr-White, Gerald Papachristidis, Alexandros BMJ Open Infectious Diseases OBJECTIVES: The aim of this study was to investigate the relationship of echocardiographic parameters, laboratory findings and clinical characteristics with in-hospital mortality in adult patients with COVID-19 admitted to the intensive care units (ICU) in two large collaborating tertiary UK centres. DESIGN: Observational retrospective study. SETTING: The study was conducted in patients admitted to the ICU in two large tertiary centres in London, UK. PARTICIPANTS: Inclusion criteria were: (1) patients admitted to the ICU with a COVID-19 diagnosis over a period of 16 weeks. and (2) underwent a transthoracic echocardiogram on the first day of ICU admission as clinically indicated. No exclusion criteria applied. Three hundred patients were enrolled and completed the follow-up. PRIMARY AND SECONDARY OUTCOME MEASURES: The outcome measure in this study was in-hospital mortality in patients admitted to the ICU with COVID-19 infection. RESULTS: Older age (HR: 1.027, 95% CI 1.007 to 1.047; p=0.008), left ventricular (LV) ejection fraction<35% (HR: 5.908, 95% CI 2.609 to 13.376; p<0.001), and peak C reactive protein (CRP) (HR: 1.002, 95% CI 1.001 to 1.004, p=0.001) were independently correlated with mortality in a multivariable Cox regression model. Following multiple imputation of variables with more than 5% missing values, random forest analysis was applied to the imputed data. Right ventricular (RV) basal diameter (RVD1), RV mid-cavity diameter (RVD2), tricuspid annular plane systolic excursion, RV systolic pressure, hypertension, RV dysfunction, troponin level on admission, peak CRP, creatinine level on ICU admission, body mass index and age were found to have a high relative importance (> 0.7). CONCLUSIONS: In patients with COVID-19 in the ICU, both severely impaired LV function and impaired RV function may have adverse prognostic implications, but older age and inflammatory markers appear to have a greater impact. A combination of echocardiographic and laboratory investigations as well as demographic and clinical characteristics appears appropriate for risk stratification in patients with COVID-19 who are admitted to the ICU. BMJ Publishing Group 2022-12-01 /pmc/articles/PMC9716800/ /pubmed/36456009 http://dx.doi.org/10.1136/bmjopen-2021-059358 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Infectious Diseases
Cirillo, Chiara
Nakou, Eleni
Georgiopoulos, Georgios
Tountas, Christos
Victor, Kelly
Marvaki, Apostolia
Desai, Nishita
Fisher, Richard
Ryan, Matthew
Demir, Ozan M
Corcoran, Eleanor
O’Gallagher, Kevin
Sinclair, Hannah
Pericao, Ana
Dhariwal, Anender
Stylianidis, Vasileios
Hua, Alina
Nabeebaccus, Adam Abner
Pearson, Peter
Fonseca, Tiago
Osborne, Andrew
Toth, Eva
Zuckerman, Mark
Shah, Ajay M
Perera, Divaka
Monaghan, Mark
Carr-White, Gerald
Papachristidis, Alexandros
Predictors of in-hospital mortality in critically ill patients with COVID-19: a large dual tertiary centre study
title Predictors of in-hospital mortality in critically ill patients with COVID-19: a large dual tertiary centre study
title_full Predictors of in-hospital mortality in critically ill patients with COVID-19: a large dual tertiary centre study
title_fullStr Predictors of in-hospital mortality in critically ill patients with COVID-19: a large dual tertiary centre study
title_full_unstemmed Predictors of in-hospital mortality in critically ill patients with COVID-19: a large dual tertiary centre study
title_short Predictors of in-hospital mortality in critically ill patients with COVID-19: a large dual tertiary centre study
title_sort predictors of in-hospital mortality in critically ill patients with covid-19: a large dual tertiary centre study
topic Infectious Diseases
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9716800/
https://www.ncbi.nlm.nih.gov/pubmed/36456009
http://dx.doi.org/10.1136/bmjopen-2021-059358
work_keys_str_mv AT cirillochiara predictorsofinhospitalmortalityincriticallyillpatientswithcovid19alargedualtertiarycentrestudy
AT nakoueleni predictorsofinhospitalmortalityincriticallyillpatientswithcovid19alargedualtertiarycentrestudy
AT georgiopoulosgeorgios predictorsofinhospitalmortalityincriticallyillpatientswithcovid19alargedualtertiarycentrestudy
AT tountaschristos predictorsofinhospitalmortalityincriticallyillpatientswithcovid19alargedualtertiarycentrestudy
AT victorkelly predictorsofinhospitalmortalityincriticallyillpatientswithcovid19alargedualtertiarycentrestudy
AT marvakiapostolia predictorsofinhospitalmortalityincriticallyillpatientswithcovid19alargedualtertiarycentrestudy
AT desainishita predictorsofinhospitalmortalityincriticallyillpatientswithcovid19alargedualtertiarycentrestudy
AT fisherrichard predictorsofinhospitalmortalityincriticallyillpatientswithcovid19alargedualtertiarycentrestudy
AT ryanmatthew predictorsofinhospitalmortalityincriticallyillpatientswithcovid19alargedualtertiarycentrestudy
AT demirozanm predictorsofinhospitalmortalityincriticallyillpatientswithcovid19alargedualtertiarycentrestudy
AT corcoraneleanor predictorsofinhospitalmortalityincriticallyillpatientswithcovid19alargedualtertiarycentrestudy
AT ogallagherkevin predictorsofinhospitalmortalityincriticallyillpatientswithcovid19alargedualtertiarycentrestudy
AT sinclairhannah predictorsofinhospitalmortalityincriticallyillpatientswithcovid19alargedualtertiarycentrestudy
AT pericaoana predictorsofinhospitalmortalityincriticallyillpatientswithcovid19alargedualtertiarycentrestudy
AT dhariwalanender predictorsofinhospitalmortalityincriticallyillpatientswithcovid19alargedualtertiarycentrestudy
AT stylianidisvasileios predictorsofinhospitalmortalityincriticallyillpatientswithcovid19alargedualtertiarycentrestudy
AT huaalina predictorsofinhospitalmortalityincriticallyillpatientswithcovid19alargedualtertiarycentrestudy
AT nabeebaccusadamabner predictorsofinhospitalmortalityincriticallyillpatientswithcovid19alargedualtertiarycentrestudy
AT pearsonpeter predictorsofinhospitalmortalityincriticallyillpatientswithcovid19alargedualtertiarycentrestudy
AT fonsecatiago predictorsofinhospitalmortalityincriticallyillpatientswithcovid19alargedualtertiarycentrestudy
AT osborneandrew predictorsofinhospitalmortalityincriticallyillpatientswithcovid19alargedualtertiarycentrestudy
AT totheva predictorsofinhospitalmortalityincriticallyillpatientswithcovid19alargedualtertiarycentrestudy
AT zuckermanmark predictorsofinhospitalmortalityincriticallyillpatientswithcovid19alargedualtertiarycentrestudy
AT shahajaym predictorsofinhospitalmortalityincriticallyillpatientswithcovid19alargedualtertiarycentrestudy
AT pereradivaka predictorsofinhospitalmortalityincriticallyillpatientswithcovid19alargedualtertiarycentrestudy
AT monaghanmark predictorsofinhospitalmortalityincriticallyillpatientswithcovid19alargedualtertiarycentrestudy
AT carrwhitegerald predictorsofinhospitalmortalityincriticallyillpatientswithcovid19alargedualtertiarycentrestudy
AT papachristidisalexandros predictorsofinhospitalmortalityincriticallyillpatientswithcovid19alargedualtertiarycentrestudy