ABSTRACT
BACKGROUND: There are high prevalence of mental health co-morbidities in people with epilepsy, with major depressive disorder being the most common among them. OBJECTIVE: This study aims to investigate the prevalence of depression among epileptic patients in Saudi Arabia. We also explored some of the sociodemographic and clinical variables associated with depression in epilepsy. METHODS: This was a cross-sectional analysis executed across the four geographical regions of Saudi Arabia and the sample size is calculated to be 358. Data collection was facilitated through a digital self-administered questionnaire, which consisted of three parts: patients' sociodemographic variables, clinical variables, and patient health questionnaire (PHQ-9) depression score. Data processing and analytical procedures are undertaken using the SPSS software. RESULTS: Of the participants, 311 responded: 65.6% were females, and 34.4% were males. Approximately 50.5% had a confirmed epilepsy diagnosis and were included in the PHQ-9 depression score analysis. Notably, 84.7% manifested depressive symptoms, with the severe category being predominant at 84.7% and moderate at 3.8%. An intriguing observation was the heightened prevalence among the younger demographic (16 to 24 years), registering at 34.4%, a figure nearly 3% superior to older age brackets. CONCLUSION: The majority of participants manifested depressive symptoms, with a significant association noted between medication quantity and depression prevalence in epilepsy. It is imperative to broaden the scope of research, encompassing varied methodologies and spanning multiple urban centers, to procure more robust and generalizable conclusions.
ABSTRACT
Since the end of 2019, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has spread as a new strain of coronavirus disease (COVID-19) and progressed as a global pandemic. Exosomes are membrane-bound vesicles released from almost all cells and are crucially involved in cell-cell communication. Interestingly, COVID-19 viral particles produce exosomes that moderate communication between infected and uninfected cells. Hence, there is growing evidence highlighting the crucial implications of exosomes in COVID-19 infection, transmission, intercellular spread, and reinfection. On the other hand, clinical trials have demonstrated mesenchymal stem cell-derived exosomes as a promising therapeutic strategy for severely affected COVID-19 patients. Also, convalescent plasma-derived exosomes have been proposed for multiple efficacies in COVID-19 patients. Furthermore, messenger RNAs (mRNA)-loaded exosomes were superior to mRNA-loaded lipid nanoparticles as a delivery system. Hence, exosomes can be used to safely induce SARS-CoV-2 immunity via their loading with mRNAs encoding immunogenic forms of SARS-CoV-2 spike and nucleocapsid proteins. Moreover, exosomes can be used as a nano-delivery system for microRNA to alleviate cytokine storm and prevent the progression of organ failure in COVID-19 patients. The present review summarizes state of the art concerning the role of exosomes in COVID-19 infection and accompanying organ complications as well as the potential use of exosomes in COVID-19 diagnosis, treatment, drug delivery, and vaccination. The review also sheds the light on the common biogenic pathway between the SARS-CoV-2 virus and exosomes. Additionally, the latest and current clinical trials using exosomes for COVID-19 infection are summarized.
Subject(s)
COVID-19 , Exosomes , Humans , SARS-CoV-2 , COVID-19 Testing , COVID-19 SerotherapyABSTRACT
The pathogenesis of psoriasis involves the interaction of several environmental and genetic factors. Predicting the disease risk cannot depend on individual genetic alleles. Consequently, some studies have evaluated the use of genetic risk scores that combine several psoriasis susceptibility loci to increase the accuracy of predicting/diagnosing the disease. This meta-analysis summarizes the evidence regarding using genetic risk scores (GRS) in the diagnosis or prediction of psoriasis. A search of MEDLINE/PubMed, the Latin American Caribbean Health Sciences Literature (LILACS) database, Cochrane Library, Scopus, Web of Science, and ProQuest was conducted in July 2022. The primary objective was to record the area under the curve (AUC) for GRS of psoriasis. Secondary objectives included characteristics of studies and patients. The risk of bias (ROB) was assessed using the PROBAST tool. Five studies fulfilled the eligibility criteria of this review. None of the studies described the clinical criteria (reference standard) that were employed to diagnose psoriasis. The AUCs of the 11 GRS models ranged from 0.6029-0.8583 (median: 0.75). Marked heterogeneity was detected (Cochran Q: 1250.051, p < 0.001, and I2 index: 99.2%). So, pooling of the results of the included studies was not performed. The ROB was high for all studies and clinical application was not described. Genetic risk scores are promising tools for the prediction of psoriasis with fair to good accuracy. However, further research is required to identify the most accurate combination of loci and to validate the scores in variable ethnicities.
ABSTRACT
Background and Objectives: Optimal blood pressure control is achieved by medication adherence. This will reduce the risk of associated morbidities and mortalities. The present study aimed to determine medication adherence and its associated factors among hypertensive patients attending different primary health centers (PHC) in Abha, Saudi Arabia (KSA). Methods: A cross-sectional study was conducted among ten different PHCs in Abha, KSA. Simple random sampling procedure was utilized to choose 400 participants. A structured anonymous questionnaire was used in the present study. Analysis of the data was done using the SPSS program, version 23. A logistic regression statistical test was applied to identify the independent associated factors of medication adherence. Furthermore, we have applied Spearman's test to find the correlation between overall B-IPQ score and medication adherence score. Results: A total of 400 hypertensive patients responded in the present survey. More than one-third of the participants (36.3%) were in the high adherence category group, while the remaining participants (63.7%) were either low or medium adherence category. The binary logistic regression analysis revealed that low and medium adherence category is significantly associated with age (adjusted odds ratio [AOR] = 0.96, 95% CI =0.93-0.99, p = 0.021), married participants (AOR = 0.42, 95% CI =0.33-0.58, p = 0.001), residing at village (AOR = 1.49, 95% CI =1.14-1.73, p = 0.038), and participants with monthly family income of 5000 to 7000 SAR (AOR = 3.06, 95% CI =1.62-5.79, p = 0.001). A negligible positive correlation was revealed between illness perception and medication adherence. Conclusion: The present study revealed that hypertensive patients poorly adhere to their antihypertensive medications. This low adherence is significantly associated with the age, monthly income, people living in rural areas, and married participants. The present study results recommend sustained efforts to implement health education programs and awareness-raising interventions targeted at hypertensive patients.
