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1.
Medicine (Baltimore) ; 102(19): e32608, 2023 May 12.
Article in English | MEDLINE | ID: mdl-37171329

ABSTRACT

BACKGROUND: Despite its central role in drug metabolism, the exact prevalence estimates and factors affecting global trends of polypharmacy in patients with chronic liver disease (CLD) have remained unexamined. The aim of this systematic review and meta-analysis is to estimate the prevalence of polypharmacy in patients with CLD and to comprehensively synthesize the socio-demographic factors that drive this. METHODS: We conducted a comprehensive search of relevant databases (PubMed, EMBASE, Science citation index, Cochrane Database of Systematic Reviews, and database of abstracts of reviews of effectiveness) for studies published from inception to May 30, 2022 that reported on prevalence estimates of polypharmacy in patients with CLD. The risk of bias was conducted utilizing Loney criteria. The primary outcome was the pooled prevalence of polypharmacy in patients with CLD. We subsequently performed a systematic review and weighted meta-analysis to ascertain the exact pooled prevalence of polypharmacy among patients with CLD. RESULTS: We identified approximately 50 studies from the initial literature search, of which 7 (enrolling N = 521,435 patients) with CLD met the inclusion criteria; of these, 58.7% were male, with a mean age of 53.9 (SD ±â€…12.2) years. The overall pooled prevalence of polypharmacy among patients with CLD was 31% (95% confidence interval [CI]: 4%-66%, I2 = 100%, τ2 ≤ 0.001, P ≤ .0001). We found higher pooled prevalence estimates among patients aged 50 years and older compared to their younger cohorts (42%, [CI 10-77]; I2 = 100%, P = <.001 vs 21%, [CI 0-70]; I2 = 100%, P = <.001). CONCLUSION: In an examination of multiple community- and hospital-based databases of patients with CLD, we found a pooled prevalence estimate of polypharmacy of approximately 31%. This represents a case burden within the range reported in the general population and will likely respond to mitigation strategies employed thus far for patients in that population.


Subject(s)
Liver Diseases , Polypharmacy , Humans , Male , Middle Aged , Aged , Female , Prevalence , Liver Diseases/epidemiology , Bias
2.
Adv Med Educ Pract ; 13: 969-979, 2022.
Article in English | MEDLINE | ID: mdl-36046600

ABSTRACT

Introduction: Past studies have shown high prevalence of mental illness among medical students. This is often linked to the demands of the medical curriculum, and to mental health stigma that prevents students from seeking help. This study aimed to examine experiences of mental health problems among medical students of different nationalities in Qatar and to uncover sociodemographic factors related to their prevalence and associated stigma. Methods: A cross-sectional online survey was conducted with medical students in their second through fifth years at the College of Medicine at Qatar University. The survey began with a consent form, and those agreed to take the survey were directed to the questionnaire. The survey comprised 64 items across three sections. The first section collected sociodemographic data. The second section screened depressive symptoms using the PHQ-9; anxiety symptoms using GAD-7; and psychological distress symptoms using Kessler-6. The third section included 27 questions adopted from Schwenk et al, which evaluate students' perceptions of stigma and their attitudes toward seeking help with their mental health. Results: One hundred and eighty-two students participated in the study. The prevalence of self-reported symptoms of severe depression, anxiety, and psychological distress was 4.4% (95% CI 2-9), 10.4% (95% CI 7-16), and 39.6% (95% CI 33-47), respectively; the prevalence of high stigma was 31.9% (95% CI 25-39). Parental education, repetition of an academic year, progress in medical studies, gender, and nationality had statistically significant correlations with mental health problems and stigma. Conclusion: In addition to the impact of the requirements of medical study, the high prevalence of reported mental illness among medical students is impacted by sociodemographic factors and the mental health stigma that constitutes a barrier to seeking help. Preventive wellbeing programs should be an essential component of medical curricula.

3.
Pathog Glob Health ; 116(5): 269-281, 2022 07.
Article in English | MEDLINE | ID: mdl-35099367

ABSTRACT

This study aims to estimate the prevalence and longevity of detectable SARS-CoV-2 antibodies and T and B memory cells after recovery. In addition, the prevalence of COVID-19 reinfection and the preventive efficacy of previous infection with SARS-CoV-2 were investigated. A synthesis of existing research was conducted. The Cochrane Library, the China Academic Journals Full Text Database, PubMed, and Scopus, and preprint servers were searched for studies conducted between 1 January 2020 to 1 April 2021. Included studies were assessed for methodological quality and pooled estimates of relevant outcomes were obtained in a meta-analysis using a bias adjusted synthesis method. Proportions were synthesized with the Freeman-Tukey double arcsine transformation and binary outcomes using the odds ratio (OR). Heterogeneity was assessed using the I2 and Cochran's Q statistics and publication bias was assessed using Doi plots. Fifty-four studies from 18 countries, with around 12,000,000 individuals, followed up to 8 months after recovery, were included. At 6-8 months after recovery, the prevalence of SARS-CoV-2 specific immunological memory remained high; IgG - 90.4% (95%CI 72.2-99.9, I2 = 89.0%), CD4+ - 91.7% (95%CI 78.2-97.1y), and memory B cells 80.6% (95%CI 65.0-90.2) and the pooled prevalence of reinfection was 0.2% (95%CI 0.0-0.7, I2 = 98.8). Individuals previously infected with SARS-CoV-2 had an 81% reduction in odds of a reinfection (OR 0.19, 95% CI 0.1-0.3, I2 = 90.5%). Around 90% of recovered individuals had evidence of immunological memory to SARS-CoV-2, at 6-8 months after recovery and had a low risk of reinfection.RegistrationPROSPERO: CRD42020201234.


Subject(s)
COVID-19 , Adaptive Immunity , COVID-19/epidemiology , Humans , Prevalence , Reinfection/epidemiology , SARS-CoV-2
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