Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9716800PMC
http://dx.doi.org/10.1136/bmjopen-2021-059358DOI Listing

Publication Analysis

Top Keywords

in-hospital mortality
12
patients admitted
12
admitted icu
12
patients covid-19
8
icu large
8
icu covid-19
8
patients
6
icu
5
predictors in-hospital
4
mortality critically
4

Similar Publications

Background: In-hospital cardiac arrest (IHCA) remains a public health conundrum with high morbidity and mortality rates. While early identification of high-risk patients could enable preventive interventions and improve survival, evidence on the effectiveness of current prediction methods remains inconclusive. Limited research exists on patients' prearrest pathophysiological status and predictive and prognostic factors of IHCA, highlighting the need for a comprehensive synthesis of predictive methodologies.

View Article and Find Full Text PDF

Germline DDX41 mutations (DDX41mut) are identified in approximately 5% of myeloid malignancies with excess of blasts, representing a distinct MDS/AML entity. The disease is associated with better outcomes compared to DDX41 wild-type (DDX41WT), but patients who do not undergo allogeneic hematopoietic stem cell transplantation (HSCT) may experience late relapse. Due to the recent identification of DDX41mut, data on post-HSCT outcomes remain limited.

View Article and Find Full Text PDF

Objectives Background: Monocyte anisocytosis (monocyte distribution width [MDW]) has been previously validated to predict sepsis and outcome in patients presenting in the emergency department and mixed-population ICUs. Determining sepsis in a critically ill surgical/trauma population is often difficult due to concomitant inflammation and stress. We examined whether MDW could identify sepsis among patients admitted to a surgical/trauma ICU and predict clinical outcome.

View Article and Find Full Text PDF

Immune Response Subphenotyping to Predict Mortality in Sepsis: A Prospective Study in Resource-Limited Setting.

Crit Care Explor

September 2025

Division of Tropical Medicine and Infectious Diseases, Department of Internal Medicine, Dr. Cipto Mangunkusumo National General Hospital, Faculty of Medicine Universitas Indonesia, Jakarta, Indonesia.

Importance: Sepsis remains a leading cause of death in infectious cases. The heterogeneity of immune responses is a major challenge in the management and prognostication of patients with sepsis. Identifying distinct immune response subphenotypes using parsimonious classifiers may improve outcome prediction, particularly in resource-limited settings.

View Article and Find Full Text PDF

Background: Appendiceal adenocarcinomas and low-grade appendiceal mucinous neoplasms (LAMNs) are rare tumours. Much of the existing knowledge is derived from registry-based studies, particularly the Surveillance, Epidemiology, and End Results database in the USA.

Methods: This retrospective cohort study used data from the Swedish Cancer Registry, Swedish Cause of Death Registry, and the National Patient Registry to analyse demographic characteristics and outcomes of patients diagnosed with appendiceal adenocarcinoma or LAMN between 2005 and 2019.

View Article and Find Full Text PDF