Background: The Center for Disease Control and Prevention (CDC) has mentioned Coronavirus Disease 2019 (COVID-19) patients with moderate or severe asthma as a high risk group for severe illness. While WHO mentioned only chronic respiratory diseases, not specifically asthma as a risk factor for severe illness. There has been asthma prevalence discrepancy in studies of COVID-19 across the world.
Objective: This meta-analysis aims to investigate the association between asthma and composite poor outcome in patients with coronavirus disease (COVID-19).
Methods: We conducted a systematic literature search from PubMed and Embase database. We included all original research articles with adult COVID-19 patients > 18 years old and had information related to asthma as a risk factor. Studies with outcomes consisting of mortality, severe COVID-19, use of mechanical ventilation, ICU admission, and hospital admission were included in this study. The outcomes of interest were divided into severe COVID-19, mortality and other poor outcomes.
Results: Eleven studies were included in meta-analysis with a total of 6,046 patients. Asthma was not associated with composite poor outcomes with OR = 0.92 (95%CI 0.71-1.19, p = 0.61, and I2 = 8.49%). Furthermore, subgroup analysis showed that asthma was not associated with severe COVID (p = 0.76), mortality (p = 0.45), and other poor outcomes (p = 0.28).
Conclusions: Our study showed that asthma was not associated with severe COVID-19, mortality, and other poor outcomes in patients with COVID-19.
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http://dx.doi.org/10.12932/AP-110920-0955 | DOI Listing |
JMIR Med Educ
January 2025
Department of Medical Education, University of Idaho, 875 Perimeter Drive MS 4061, WWAMI Medical Education, Moscow, ID, 83844-9803, United States, 1 5092090908.
Background: Medical students often struggle to engage with and retain complex pharmacology topics during their preclinical education. Traditional teaching methods can lead to passive learning and poor long-term retention of critical concepts.
Objective: This study aims to enhance the teaching of clinical pharmacology in medical school by using a multimodal generative artificial intelligence (genAI) approach to create compelling, cinematic clinical narratives (CCNs).
Cureus
December 2024
Department of Cardiovascular Medicine, Khyber Medical Institute of Medical Sciences, Kohat, PAK.
Background: Percutaneous nephrolithotomy (PCNL) is the preferred treatment for large renal stones, yet variability in outcomes arises from patient-specific factors and institutional practices. Understanding complications and predictors of success is essential to improving procedural efficacy.
Objective: This study aimed to evaluate stone clearance rates, complications classified using the Clavien-Dindo system, and predictors of PCNL outcomes, with a focus on improving lower calyx stone clearance.
Cureus
December 2024
Biostatistics and Epidemiology, Rutgers University, Piscataway, USA.
Background Various studies have evaluated the quality of health-related information on TikTok (ByteDance Ltd., Beijing, China), including topics such as COVID-19, diabetes, varicoceles, bladder cancer, colorectal cancer, and others. However, there is a paucity of data on studies that examined TikTok as a source of quality health information on human papillomavirus (HPV).
View Article and Find Full Text PDFCureus
January 2025
Department of Otorhinolaryngology, Jikei University Kashiwa Hospital, Kashiwa, JPN.
Objectives: Although several studies have reported the treatment prognosis in squamous cell carcinoma of the head and neck, few studies exist on the prognosis and mortality-related risk factors in untreated cases. This study aimed to determine the outcomes of patients with head and neck squamous cell carcinoma who underwent no treatment and investigate the associated factors.
Methods: This retrospective, single-institution study initially included 718 patients with head and neck cancer who visited our hospital between January 2015 and December 2021; 43 untreated patients were included in the final analysis.
Neurooncol Adv
November 2024
Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, Saint Louis, Missouri, USA.
Background: Alterations in cellular metabolism affect cancer survival and can manifest in metrics of body composition. We investigated the effects of various body composition metrics on survival in patients with glioblastoma (GBM).
Methods: We retrospectively analyzed patients who had an abdominal and pelvic computed tomography (CT) scan performed within 1 month of diagnosis of GBM (178 participants, 102 males, 76 females, median age: 62.
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