The prediction of disease outcomes in COVID-19 patients in the ICU is of critical importance, and the examination of host gene expressions is a promising tool. The 29-host mRNA Inflam-matix-Severity-3b (IMX-SEV-3b) classifier has been reported to predict mortality in emergency department COVID-19 patients and surgical ICU patients. The accuracy of the IMX-SEV-3b in predicting mortality in COVID-19 patients admitted to the ICU is yet unknown. Our aim was to investigate the accuracy of the IMX-SEV-3b in predicting the ICU mortality of COVID-19 patients. In addition, we assessed the predictive performance of routinely measured biomarkers and the Sequential Organ Failure Assessment (SOFA) score as well. This was a prospective observational study enrolling COVID-19 patients who received mechanical ventilation on the ICU of the Erasmus MC, the Netherlands. The IMX-SEV-3b scores were generated by amplifying 29 host response genes from blood collected in PAXgene Blood RNA tubes. A severity score was provided, ranging from 0 to 1 for increasing disease severity. The primary outcome was the accuracy of the IMX-SEV-3b in predicting ICU mortality, and we calculated the AUROC of the IMX-SEV-3b score, the biomarkers C-reactive protein (CRP), D-dimer, ferritin, leukocyte count, interleukin-6 (IL-6), lactate dehydrogenase (LDH), neutrophil-to-lymphocyte ratio (NLR), procalcitonin (PCT) and the SOFA score. A total of 53 patients were included between 1 March and 30 April 2020, with 47 of them being included within 72 h of their admission to the ICU. Of these, 18 (34%) patients died during their ICU stay, and the IMX-SEV-3b scores were significantly higher in non-survivors compared to survivors (0.65 versus 0.57, = 0.05). The Area Under the Receiver Operating Characteristic Curve (AUROC) for prediction of ICU mortality by the IMX-SEV-3b was 0.65 (0.48-0.82). The AUROCs of the biomarkers ranged from 0.52 to 0.66, and the SOFA score had an AUROC of 0.81 (0.69-0.93). The AUROC of the pooled biomarkers CRP, D-dimer, ferritin, leukocyte count, IL-6, LDH, NLR and PCT for prediction of ICU mortality was 0.81 (IQR 0.69-0.93). Further validation in a larger interventional trial of a point-of-care version of the IMX-SEV-3b classifier is warranted to determine its value for patient management.
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http://dx.doi.org/10.3390/jcm12196197 | DOI Listing |
Indian J Med Ethics
January 2025
Senior Resident, Department of Forensic Medicine and Toxicology, AIIMS Bilaspur, Himachal Pradesh 174037, INDIA.
Telemedicine technology plays a crucial role in addressing healthcare challenges, particularly in countries like India, by mitigating physician shortages, reducing patient burden and costs, and aiding in disease prevention. The term telemedicine, meaning "healing at a distance," was coined in 1970 [1]. It encompasses the use of electronic, communication, and information technologies to deliver healthcare services remotely.
View Article and Find Full Text PDFActa Med Philipp
December 2024
Naga City, Camarines Sur, Philippines.
Background And Objective: Several studies have examined the predictors of mortality among COVID-19-infected patients; however, to date, few published studies focused on end-stage renal disease patients. The present study, therefore, aims to determine the predictors of in-hospital mortality among end-stage renal disease patients with COVID-19 admitted to a Philippine tertiary hospital.
Methods: The researcher utilized a retrospective cohort design.
JACC Adv
December 2024
Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Background: Few studies have evaluated home-based cardiac rehabilitation (HBCR) during the pandemic, compared to prepandemic center-based CR (CBCR), with respect to patient characteristics, participation rates, and its efficacy on clinical metrics, health-related quality of life (QoL), and modifiable risk factors.
Objectives: We aimed to describe patient characteristics and participation rates for those attending HBCR compared to patients who attended CBCR and compare the effects of HBCR vs CBCR on clinical metrics, health-related QoL, and modifiable risk factors in CR patients pre vs during the COVID-19 pandemic.
Methods: A retrospective cohort study comparing 511 HBCR patients and 765 CBCR patients from the Mayo Clinic Health System.
Open Forum Infect Dis
January 2025
Department of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Background: The global resurgence of disseminated tuberculosis (TB) after the coronavirus disease 2019 pandemic highlights the necessity of understanding host risk factors, especially in adults without human immunodeficiency virus.
Methods: We reviewed TB cases admitted to Shanghai Public Health Clinical Center from 2017 to 2022. We analyzed baseline characteristics and outcomes.
Int J Telemed Appl
January 2025
Medical Familiar Unit, Instituto de Seguridad y Servicios Sociales de Los Trabajadores del Estado, Torreón, Coahuila, Mexico.
This study proposes an automated system for assessing lung damage severity in coronavirus disease 2019 (COVID-19) patients using computed tomography (CT) images. These preprocessed CT images identify the extent of pulmonary parenchyma (PP) and ground-glass opacity and pulmonary infiltrates (GGO-PIs). Two types of images-saliency () image and discrete cosine transform (DCT) energy image-were generated from these images.
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