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Predictors of in-hospital mortality in critically ill patients with COVID-19: a large dual tertiary centre study
Chiara Cirillo1, Eleni Nakou2, Georgios Georgiopoulos1
1Cardiology Department, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Insights
Older age, impaired left ventricular ejection fraction, and elevated C-reactive protein are key predictors of in-hospital mortality in COVID-19 patients admitted to the ICU. Risk stratification requires a combination of echocardiographic, laboratory, and clinical data.
Area of Science:
- Cardiology
- Intensive Care Medicine
- Infectious Diseases
Background:
- COVID-19 significantly impacts critically ill patients, necessitating identification of mortality predictors.
- Intensive Care Unit (ICU) admission for COVID-19 patients requires robust prognostic tools.
Purpose of the Study:
- To investigate the relationship between echocardiographic parameters, laboratory findings, and clinical characteristics with in-hospital mortality in adult COVID-19 patients admitted to the ICU.
- To identify key factors for risk stratification in severe COVID-19 cases.
Main Methods:
- Observational retrospective study involving 300 adult COVID-19 patients admitted to ICUs in two UK tertiary centers.
- Transthoracic echocardiogram performed on ICU admission; data analyzed using multivariable Cox regression and random forest analysis.
Main Results:
- Older age (HR: 1.027), left ventricular ejection fraction <35% (HR: 5.908), and peak C-reactive protein (CRP) (HR: 1.002) were independently correlated with mortality.
- Random forest analysis highlighted RV dysfunction, troponin, peak CRP, creatinine, BMI, and age as important predictors.
Conclusions:
- Severely impaired left and right ventricular function in COVID-19 ICU patients carry adverse prognostic implications.
- Older age and inflammatory markers (like CRP) have a substantial impact on mortality.
- A combined approach using echocardiographic, laboratory, demographic, and clinical data is appropriate for risk stratification.
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.
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