CHA2DS2-VASC score associates with worse prognosis in coronavirus-disease-19 (COVID-19). This study investigated laboratory correlates of increasing CHA2DS2- VASc in patients with COVID-19. Patients with COVID-19 were stratified by CHA2DS2-VASc (Group 1: CHA2DS2-VASc 0-1; Group 2: CHA2DS2-VASc 2-3; Group 3: CHA2DS2-VASc ≥4). We found stepwise increase of D-dimer, hs-Troponin and in-hospital mortality across groups (all P < 0.01). D-dimer and hs-Troponin remained independently associated with CHA2DS2-VASc (B = 0.145, P = 0.03; B = 0.320, P < 0.001, respectively). We found significant correlations between D-dimer and C-reactive protein (CRP) in Group 1 and 2, not in Group 3 (r2 = 0.103, P = 0.005; r2 = 0.226, P = 0.001; r2 = 0.021, P = 0.253 respectively), and between D-dimer and hs-Troponin in group 2 and 3, not in Group 1 (r2 = 0.122, P = 0.003; r2 = 0.120, P = 0.007; r2 = 0.006, P = 0.514 respectively). In our cohort, CHA2DS2- VASc was independently associated with D-dimer and hs- Troponin increase. Variable relationships of D-dimer with hs-Troponin and CRP within different CHA2DS2-VASc strata suggest multiple mechanisms to be responsible for D-dimer increase in COVID-19.
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http://dx.doi.org/10.1097/MBC.0000000000001098 | 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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