Objective: The global case fatality rate of coronavirus disease 2019 is 2.16% as announced by the World Health Organization. In Indonesia, according to the Ministry of Health, the number is even higher, reaching a 2.8% case fatality rate. D-dimer levels were found to affect coronavirus disease 2019 patient's survival in several studies. The study aimed to determine whether the amount of D-dimer predicted survival in coronavirus disease 2019 patients.
Materials And Methods: This research was performed in a retrospective cohort design and used survival analysis. From March 1, 2020, to August 31, 2020, the samples were collected from polymerase chain reaction-confirmed coronavirus disease 2019 patients at Mohammad Hoesin General Hospital in Palembang, South Sumatera, Indonesia. We used electronic medical records to obtain demographic (age and gender), coexisting condition, laboratory (coagulation and hematologic test), and outcome (non-survivors or survivors) data. The chi-square and Mann-Whitney tests were used to evaluate the results. The Kaplan-Meier method and the Mantel-Haenszel log-rank test were used to examine D-dimer levels and patient outcomes. Youden index was calculated to determine the optimal cut-off value of D-dimer.
Results: There were 52 non-survivors and 235 survivors among the 287 patients who met the inclusion criterion. Non-survivors had D-dimer levels of more than 1.49 mg/L in 82.69%of cases. Males had lower cut-off compared to females (>1.49 mg/L vs. >2.2 mg/L). The researchers discovered a highly significant correlation between D-dimer levels and coronavirus disease 2019 mortality (P=.001). The c-index analysis showed that D-dimer (0.79, 95% CI: 0.73-0.83) ability for mortality prediction was the second-best compared with other laboratory markers.
Conclusion: D-dimer can be used as a predictor of coronavirus disease 2019 in-hospital mortality for early identification of coagulopathy.
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http://dx.doi.org/10.5152/eurasianjmed.2022.21145 | 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 PDFAnn Transl Med
December 2024
Medical Direction, Rovereto Hospital, Provincial Agency for Social and Sanitary Services (APSS), Trento, Italy.
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.
ACS ES T Water
January 2025
Department of Statistics & Data Science, Dietrich College of Humanities and Social Sciences, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States.
Since the start of the coronavirus-19 pandemic, the use of wastewater-based epidemiology (WBE) for disease surveillance has increased throughout the world. Because wastewater measurements are affected by external factors, processing WBE data typically includes a normalization step in order to adjust wastewater measurements (e.g.
View Article and Find Full Text PDFProstate Int
September 2024
Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei 230032, China.
Background: The causal associations and potential mechanisms between prostatic diseases, the predominant male urological disorders, and the course of COVID-19 remain unclear.
Methods: A two-sample Mendelian randomization (MR) analysis was performed to evaluate causal associations between prostate cancer, benign prostatic hyperplasia, and prostatitis and different COVID-19 outcomes (SARS-CoV-2 infection, hospitalized COVID-19, and severe COVID-19). Reverse MR, linkage disequilibrium score regression, and Bayesian colocalization analyses were subsequently performed to strengthen the identified causal relationships.
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