Effect of pioglitazone on inflammatory response and clinical outcome in T2DM patients with COVID-19: a randomized multicenter double-blind clinical trial.

Background: Coronavirus disease 2019 (COVID-19) caused by the coronavirus SARS-CoV-2, has emerged as a rapidly spreading contagious disease across the globe. Recent studies showed that people with diabetes mellitus, severe obesity, and cardiovascular disease are at higher risk of mortality from COVID-19. It has been suggested that the increased risk is due to the chronic inflammatory state associated with type 2 diabetes. This study aimed to evaluate the efficacy of pioglitazone, a strong insulin sensitizer with anti-inflammatory properties, in improving the clinical outcomes of patients with type 2 diabetes admitted with moderate-severe COVID-19. Method: We enrolled 350 patients with type 2 diabetes who were admitted to hospitals in Qatar and Kuwait with COVID-19. Patients were randomized to receive, in a double-blind fashion, pioglitazone (n = 189) or a matching placebo (n = 161) for 28 days. The study had two primary outcomes: (1) the incidence of a composite outcome composed of (a) the requirement for mechanical ventilation, (b) death, and (c) myocardial damage; and (2) an increase in C-reactive protein (CRP) levels. Results: The first primary outcome occurred in 28 participants (8%), and the secondary outcome occurred in 17. Treatment with pioglitazone showed a significant reduction in interleukin (IL)-3 levels compared with placebo treatment (mean (SD) 2.73 (± 2.14) [95% CI: 0.02, 1.1], p = 0.043 vs. 2.28 (± 1.67) [95% CI: - 0.23, 0.86], p = 0.3, respectively), with no effect seen in the levels of other inflammatory markers. Even though not significant, a few of the patients on pioglitazone exhibited serum troponin levels > 3 times higher than the normal range seen in patients on placebo. On the other hand, more patients on pioglitazone were admitted to the ICU than those with placebo, and no significant difference in the CRP reduction was observed between the two groups. Conclusion: The results of the present study demonstrate that pioglitazone treatment did not independently provide any additional clinical benefit to patients with type 2 diabetes admitted with a COVID-19 infection. Clinical trial registration: https://clinicaltrials.gov, identifier NCT04604223.

Impact of cardiac rehabilitation exercise frequency on exercise capacity in patients with coronary artery disease: a retrospective study.

Cardiac rehabilitation (CR) significantly improves cardiovascular outcomes in patients with coronary artery disease (CAD). International guidelines vary in the minimum recommended frequency of supervised exercise from 1 to 3 sessions per week. This is the first study in the Middle East and North African regions assessing the impact of 2 versus 3 days/week of supervised exercise on peak exercise capacity in patients with CAD. Single-center retrospective cohort study involving 362 patients enrolled in the only CR center in the State of Qatar. Only high-quality data was included by strict evaluation of compliance to the exercise intervention. Fifty patients who underwent a symptom-limited exercise test before and after CR were included (31 patients on 2 days/week, 19 on 3 days/week). No significant differences were observed in baseline characteristics between groups. Exercise intervention differed significantly between groups in exercise training frequency (2 days/week: 1.97 ± 0.2 vs. 3 days/week: 2.7 ± 0.3; p < 0.00). Peak exercise capacity as peak metabolic equivalents of task (MET) significantly increased in both groups (2 days/week: Pre 8.3 ± 2.4 vs. Post 9.4 ± 2.9, p-value 0.00; 3 days/week: Pre 7.4 ± 1.6 vs. Post 8.4 ± 2.0, p-value 0.00). No significant difference was observed between groups for change in Peak Exercise Capacity (2 days/week 1.1 ± 1.1 vs. 3 days/week 1.0 ± 0.9, p = 0.87). When the total number of exercise sessions is equal, supervised exercise frequencies of 2 and 3 days/week may significantly and equally improve peak exercise capacity in patients with CAD.

A comprehensive comparison of machine learning models for ICH prognostication: Retrospective review of 1501 intra-cerebral hemorrhage patients from the Qatar stroke database.

Multiple prognostic scores have been developed to predict morbidity and mortality in patients with spontaneous intracerebral hemorrhage(sICH). Since the advent of machine learning(ML), different ML models have also been developed for sICH prognostication. There is however a need to verify the validity of these ML models in diverse patient populations. We aim to create machine learning models for prognostication purposes in the Qatari population. By incorporating inpatient variables into model development, we aim to leverage more information. 1501 consecutive patients with acute sICH admitted to Hamad General Hospital(HGH) between 2013 and 2023 were included. We trained, evaluated, and compared several ML models to predict 90-day mortality and functional outcomes. For our dataset, we randomly selected 80% patients for model training and 20% for validation and used k-fold cross validation to train our models. The ML workflow included imbalanced class correction and dimensionality reduction in order to evaluate the effect of each. Evaluation metrics such as sensitivity, specificity, F-1 score were calculated for each prognostic model. Mean age was 50.8(SD 13.1) years and 1257(83.7%) were male. Median ICH volume was 7.5 ml(IQR 12.6). 222(14.8%) died while 897(59.7%) achieved good functional outcome at 90 days. For 90-day mortality, random forest(RF) achieved highest AUC(0.906) whereas for 90-day functional outcomes, logistic regression(LR) achieved highest AUC(0.888). Ensembling provided similar results to the best performing models, namely RF and LR, obtaining an AUC of 0.904 for mortality and 0.883 for functional outcomes. Random Forest achieved the highest AUC for 90-day mortality, and LR achieved the highest AUC for 90-day functional outcomes. Comparing ML models, there is minimal difference between their performance. By creating an ensemble of our best performing individual models we maintained maximum accuracy and decreased variance of functional outcome and mortality prediction when compared with individual models.

Modeling health outcomes of air pollution in the Middle East by using support vector machines and neural networks.

This study investigates the impact of air pollution on health outcomes in Middle Eastern countries, a region facing severe environmental challenges. As such, these are important in an effort to add up to policy-level as well as interventional changes that can be put in practice in the area of public health. Numeration analysis and association with health parameters was carried out by using Analytical tools such as, AIR Data, ARIMA,ANN, SVM and Exponential smoothing. Amongst the models, Support Vector Machine came again on top, with high accuracy yielding Mean Absolute Percentage Error of approximately 1%. Mortality of Air pollution in Qat from the case of Mortality of Air Pollution in Qatar is 959 while Auto regressive Integrated Moving average is 11.096, Exponential Smoothing 9.892 and Artificial Neural Networks are the source of inspiration for the development of this paper 4.61. The above perceptions indicate that there is need to adapt modeling strategies depending on the context and establish that it is possible to implement ML models in public health planning basket. This paper publishes the methodological frameworks for the purpose of modeling and analysis of the EHDs and serves as policy prescription for the policy makers to intending to reduce the effects of air borne pollution on health.

Facilitators and barriers to interprofessional collaboration among health professionals in primary healthcare centers in Qatar: a qualitative exploration using the "Gears" model.

BACKGROUND: The number of patients seeking medical care is increasing, necessitating more access to primary healthcare services. As several of these patients usually present with complex medical conditions, the need for interprofessional collaboration (IPC) among health professionals in primary care is necessary. IPC is essential for facing the increasing and challenging healthcare demands. Therefore, the facilitators of and the barriers to IPC should be studied in the hope that the results will be used to promote such endeavors. OBJECTIVES: This study aimed to explore the perspectives of different health professionals regarding the facilitators of and the barriers to IPC in the primary healthcare settings in Qatar. METHODS: A qualitative study using focus groups was conducted within the Primary Health Care Corporation (PHCC) in Qatar. Several health professionals were invited to participate in the focus groups. The focus groups were uniprofessional for general practitioners (GPs), nurses, and dentists, while they were interprofessional for the other health professionals. Focus groups were audio-recorded and transcribed verbatim and validated by the research team. The data were analyzed by deductive thematic analysis using the "Gears" Conceptual Model as a coding framework. RESULTS: Fourteen focus groups were conducted involving 58 participants (including 17 GPs, 12 nurses, 15 pharmacists, 3 dentists, and 11 allied health professionals) working in PHCC in Qatar. The findings revealed a spectrum of factors influencing IPC, categorized into four main domains: Macro, Meso, Micro, and individual levels, with each accompanied by relevant barriers and facilitators. Key challenges identified included a lack of communication skills, insufficient professional competencies, and power imbalances, among others. To address these challenges, recommendations were made to implement dedicated training sessions on IPC, reduce hierarchical barriers among different health professionals, and enhance the effectiveness of existing systems. Conversely, it was emphasized that projects and campaigns focused on IPC, alongside the development of enhanced communication skills and the presence of supportive leadership, as essential for facilitating effective IPC in PHCCs. CONCLUSION: The interplay between the meso, macro, micro, and individual levels highlight the significance of a multifaceted approach to interventions, aiming to enhance the successes of IPC. While initiatives like interprofessional education training are underway, numerous challenges persist before achieving improved collaboration and more efficient integration of IPC in the PHCC setting.

HPV infection and vaccination: a cross-sectional study of knowledge, perception, and attitude to vaccine uptake among university students in Qatar.

BACKGROUND: Human Papilloma Virus (HPV) infection is a significant public health concern in the Gulf Cooperation Council countries, being widely prevalent and the main risk factor for cervical cancer. We aimed to assess knowledge and perception towards HPV, acceptability of the HPV vaccine, and HPV vaccination rates among university students in Education City, Doha, Qatar. METHODS: This cross-sectional survey utilized proportional quota-sampling, with quotas based on university, sex, and nationality, to recruit students from seven universities between February and September 2022. The English language questionnaire requested socio-demographic information, knowledge, and attitudes about HPV infection and the vaccine. The chi-square test, Student t-test, Mann-Whitney-Wilcoxon tests and multivariable ordinal logistic regression were used to assess differences in proportion, mean, and median according to broad HPV knowledge categories. RESULTS: Three hundred and ninety-eight students were recruited (response rate = 82.3%), of whom 251 (63.1%) were female. Mean age was 21.7 years. Eighty-nine (22.4%, 95% CI 18.4-26.8%) students had poor knowledge about HPV, 220 (55.3%, 95% CI 50.2-60.2%) students had some awareness, and 89 (22.4%, 95% CI 18.4-26.8%) students were knowledgeable. Age, nationality, and field of study influenced the students' knowledge about HPV. Only 25 (6.3%) students had previously been vaccinated against HPV. However, 71% of the unvaccinated students reported being willing to get vaccinated if recommended by their healthcare provider. CONCLUSIONS: Overall, 77.7% of the student population had some-to-good levels of knowledge about HPV-related infection, cancer, and vaccination. There are gaps in the student population's understanding and knowledge about HPV. Increasing knowledge can be key toward shared decision-making for HPV vaccination among eligible populations. Targeted public health campaigns and integration into childhood vaccination programs should be critical first steps, especially as most of the surveyed students had a positive outlook on getting vaccinated. Healthcare professionals should be incentivized to increase their HPV knowledge and communication skills, while policymakers can work toward easing barriers in integrating HPV vaccinations in the immunization schedule and encouraging overall HPV vaccination uptake.

Associations between maternal bacteremia during the peripartum period and early-onset neonatal sepsis: a retrospective cohort study.

INTRODUCTION: Early-onset neonatal sepsis (EONS) significantly impacts neonatal morbidity and mortality, with maternal bacteremia during the peripartum period being a potential risk factor. This study aims to explore the association between peripartum maternal bacteremia and EONS. METHODS: A retrospective cohort study at the Women's Wellness and Research Center in Doha, Qatar (2015-2019) compared women with and without bacteremia, based on blood cultures taken from up to seven days before to 48 h after delivery, examining the association with EONS. RESULTS: Among the 536 maternal blood cultures analyzed, 102 (19.0%) were positive. The most prevalent organisms were Group B streptococcus (GBS) (39.2%), followed by Escherichia coli (14.7%) and anaerobes (10.8%). Neonates from bacteremic mothers had lower birth weights (2913 ± 86 g vs. 3140 ± 745 g; MD 227.63 g; 95% CI 61.72 - 393.55; p = 0.007), required more resuscitation (27.5% vs. 13.2%; OR 2.48; 95% CI 1.48 - 4.17; p < 0.001), and received antibiotics for ≥ 7 days more frequently (41.2% vs. 16.6%; OR 3.51; 95% CI 2.20 - 5.62; p < 0.001) compared to those from non-bacteremic mothers. Maternal Gram-positive (GP) organisms were more commonly isolated in term gestation (67.9%) compared to Gram-negative (GN) (22.2%) and anaerobic bacteremias (9.9%). During intrapartum, GP bacteremia was predominant (67.1%) vs. GN (21.4%) and Anaerobes (11.4%), with GN bacteremia being more common in postpartum samples. Culture-proven EONS occurred in 0.75% of the cohort, affecting 3.9% of infants from bacteremic mothers vs. none in controls (OR 2.34; 95% CI 1.27 - 4.31; p < 0.001). Culture-negative EONS appeared in 14.7% of infants from bacteremic mothers vs. 7.8% in controls (OR 2.02; 95% CI, 1.05 - 3.88; p = 0.03). Among 40 cases of maternal GBS bacteremia, culture-proven GBS EONS occurred in 3 neonates (7.5%), all from mothers with negative GBS screening, compared to none in the control group. A strong association was found between EONS and maternal bacteremia due to any organism (aOR 2.34; 95% CI, 1.24 - 4.41; p = 0.009), GP bacteremia (aOR 3.66; 95% CI, 1.82 - 7.34; p < 0.001), or GBS (aOR 5.74; 95% CI, 2.57 - 12.81; p < 0.001). Bacteremia due to GN and Anaerobic organisms were not associated with EONS. Chorioamnionitis and antepartum fever were independent predictors for EONS associated with significant bacterial isolates. CONCLUSION: This study underscores the significant impact of maternal GP bacteremia, particularly from GBS, on EONS. The strong association highlights the need for vigilant monitoring and interventions in pregnancies complicated by bacteremia to reduce adverse neonatal outcomes.

Prevalence of asthma among children and adolescents in WHO's Eastern Mediterranean Region: a meta-analysis of over 0.5 million participants.

OBJECTIVE: This study aims to evaluate the epidemiology of asthma among children and adolescents in the Eastern Mediterranean Region. METHODS: Exhaustive searches were conducted across databases, including PubMed, Scopus, Web of Knowledge Core Collection, Embase, and Google Scholar. The selection criteria included studies reporting asthma prevalence in individuals aged 0 to 19 years, using validated questionnaires. Data were extracted and synthesized using the DerSimonian and Laird random effects model. RESULTS: The overall prevalence of asthma in Eastern Mediterranean Regional Office (EMRO) countries, among the 514,468 children and adolescents included in this meta-analysis, was 10.61%, synthesized from 95 studies. Among the countries studied, Qatar exhibited the highest prevalence at 16.69%, followed by Saudi Arabia at 16.57%, Iraq at 16.22%, Oman at 15.20%, and Afghanistan at 14.90%. Adolescents showed a slightly higher prevalence of asthma at 10.10% compared to children at 9.70%. Boys exhibited a higher prevalence at 11.48% compared to girls at 9.75%. Urban areas demonstrated a higher prevalence at 11.27% than rural areas at 8.29%. CONCLUSION: Efforts to reduce asthma prevalence in Arab countries and address underdiagnosis in African nations within the EMRO are crucial. Targeted interventions should focus on addressing environmental triggers and improving access to healthcare. Enhanced diagnostic capabilities and healthcare infrastructure are necessary in African countries. Collaborative action is essential to alleviate the asthma burden and promote respiratory health across the EMRO region.

A roadmap to the molecular human linking multiomics with population traits and diabetes subtypes.

In-depth multiomic phenotyping provides molecular insights into complex physiological processes and their pathologies. Here, we report on integrating 18 diverse deep molecular phenotyping (omics-) technologies applied to urine, blood, and saliva samples from 391 participants of the multiethnic diabetes Qatar Metabolomics Study of Diabetes (QMDiab). Using 6,304 quantitative molecular traits with 1,221,345 genetic variants, methylation at 470,837 DNA CpG sites, and gene expression of 57,000 transcripts, we determine (1) within-platform partial correlations, (2) between-platform mutual best correlations, and (3) genome-, epigenome-, transcriptome-, and phenome-wide associations. Combined into a molecular network of > 34,000 statistically significant trait-trait links in biofluids, our study portrays "The Molecular Human". We describe the variances explained by each omics in the phenotypes (age, sex, BMI, and diabetes state), platform complementarity, and the inherent correlation structures of multiomics data. Further, we construct multi-molecular network of diabetes subtypes. Finally, we generated an open-access web interface to "The Molecular Human" ( http://comics.metabolomix.com ), providing interactive data exploration and hypotheses generation possibilities.

Examining the perception of undergraduate health professional students of their learning environment, learning experience and professional identity development: a mixed-methods study.

BACKGROUND: The quality of the learning environment significantly impacts student engagement and professional identity formation in health professions education. Despite global recognition of its importance, research on student perceptions of learning environments across different health education programs is scarce. This study aimed to explore how health professional students perceive their learning environment and its influence on their professional identity development. METHODS: An explanatory mixed-methods approach was employed. In the quantitative phase, the Dundee Ready Education Environment Measure [Minimum-Maximum possible scores = 0-200] and Macleod Clark Professional Identity Scale [Minimum-Maximum possible scores = 1-45] were administered to Qatar University-Health students (N = 908), with a minimum required sample size of 271 students. Data were analyzed using SPSS, including descriptive statistics and inferential analysis. In the qualitative phase, seven focus groups (FGs) were conducted online via Microsoft Teams. FGs were guided by a topic guide developed from the quantitative results and the framework proposed by Gruppen et al. (Acad Med 94:969-74, 2019), transcribed verbatim, and thematically analyzed using NVIVO®. RESULTS: The questionnaire response rate was 57.8% (525 responses out of 908), with a usability rate of 74.3% (390 responses out of 525) after excluding students who only completed the demographic section. The study indicated a "more positive than negative" perception of the learning environment (Median [IQR] = 132 [116-174], Minimum-Maximum obtained scores = 43-185), and a "good" perception of their professional identity (Median [IQR] = 24 [22-27], Minimum-Maximum obtained scores = 3-36). Qualitative data confirmed that the learning environment was supportive in developing competence, interpersonal skills, and professional identity, though opinions on emotional support adequacy were mixed. Key attributes of an ideal learning environment included mentorship programs, a reward system, and measures to address fatigue and boredom. CONCLUSIONS: The learning environment at QU-Health was effective in developing competence and interpersonal skills. Students' perceptions of their learning environment positively correlated with their professional identity. Ideal environments should include mentorship programs, a reward system, and strategies to address fatigue and boredom, emphasizing the need for ongoing improvements in learning environments to enhance student satisfaction, professional identity development, and high-quality patient care.

Enhanced event-based surveillance: Epidemic Intelligence from Open Sources (EIOS) during FIFA World Cup 2022 Qatar.

BACKGROUND: Public health threats can significantly impact mass gatherings and enhancing surveillance systems would thus be crucial. Epidemic Intelligence from Open Sources (EIOS) was introduced to Qatar to complement the existing surveillance measures in preparation to the FIFA World Cup Qatar 2022 (FWC22). This study estimated the empirical probability of EIOS detecting signals of public health relevance. It also looked at the factors responsible for discerning a moderate-high risk signal during a mass gathering event. METHODS: This cross-sectional descriptive study used data collected between November 8th and December 25th, 2022, through an EIOS dashboard that filtered open-source articles using specific keywords. Triage criteria and scoring scheme were developed to capture signals and these were maintained in MS Excel. EIOS' contribution to epidemic intelligence was assessed by the empirical probability estimation of relevant public health signals. Chi-squared tests of independence were performed to check for associations between various hazard categories and other independent variables. A multivariate logistic regression evaluated the predictors of moderate-high risk signals that required prompt action. RESULTS: The probability of EIOS capturing a signal relevant to public health was estimated at 0.85 % (95 % confidence interval (CI) [0.82 %-0.88 %]) with three signals requiring a national response. The hazard category of the signal had significant association to the region of occurrence (χ2 (5, N = 2543) = 1021.6, p < .001). The hazard category also showed significant association to its detection during matchdays of the tournament (χ2 (5, N = 2543) = 11.2, p < .05). The triage criteria developed was able to discern between low and moderate-high risk signals with an acceptable discrimination (Area Under the Curve=0.79). CONCLUSION: EIOS proved useful in the early warning of public health threats.

Association between dietary patterns and depression symptoms among adults with or without diabetes in Qatar: a population-based study.

BACKGROUND: Diabetes is a major public health problem in Qatar and is associated with an increased risk of depression. However, no study has been conducted in Qatar on the relationship between dietary patterns and depression symptoms in adults. The aim of this study was to assess the association between dietary patterns and depression symptoms among adults with or without diabetes in Qatar. METHODS: A total of 1000 participants from the Qatar Biobank (QBB) were included in this cross-sectional study. Food intake was assessed using a computer-administered food frequency questionnaire (FFQ), and dietary patterns were identified using factor analysis. Depression symptoms were evaluated using the Patient Health Questionnaire-9 (PHQ-9). RESULTS: Depression symptoms were present in 13.5% of the sample. Two dietary patterns were identified: "unhealthy" (high consumption of fast food, biryani, mixed dish (chicken/meat/fish), croissant) and "prudent" (high consumption of fresh fruit, salads/raw vegetables, canned/dried fruit, and dates). After adjusting for sociodemographic, lifestyle factors (smoking and physical activity), diabetes and medication use for diabetes and hypertension, a high intake of "unhealthy" pattern was associated with an increased prevalence of depressive symptoms in individuals with diabetes (prevalence ratio, PR = 1.41; 95% CI = 1.28, 1.56; p-value < 0.001), while there was no statistically significant association between depressive symptoms and the "prudent" dietary pattern. The "prudent" pattern was inversely and significantly associated with depressive symptoms in individuals with a normal body weight (PR = 0.21; 95% CI = 0.06, 0.76; p-value = 0.018). CONCLUSION: The "unhealthy" dietary pattern was positively associated with depression symptoms in those with diabetes, whereas the "prudent" dietary pattern was inversely associated with depression symptoms in those with a normal body weight. Promoting healthy eating habits should be considered in the prevention and management of depression.

The limits of sportswashing. How the 2022 FIFA World Cup affected attitudes about Qatar.

Non-democratic regimes have increasingly been hosting major sports events to boost their visibility and image abroad, which sparked debates about the potential for "sportswashing". Using the case of the 2022 FIFA World Cup in Qatar we examine how the framing of the tournament influenced opinions about Qatar abroad. Our pre-registered survey experiment with more than 14,000 respondents in eight European countries conducted before the tournament shows that framing it in light of human rights issues in Qatar leads to more negative attitudes towards the host of the World Cup. In contrast, frames emphasizing Qatar's organizational capacity improve respondents' attitudes. The heterogeneity of effects across countries highlights the relevance of the national information environment for the effects of major sports events on public opinion. These findings suggest that critical media coverage could potentially mitigate sportswashing efforts while uncritical coverage can increase the legitimacy of autocracies.

The prevalence of orofacial clefts in Qatar : a cross-sectional nationwide study.

BACKGROUND: Cleft lip and palate are congenital craniofacial anomalies that significantly impact individuals and their families, both medically and psychosocially. The Qatari population has unique characteristics that are suggestive of a high prevalence of congenital anomalies: high consanguinity rate, large family size, advanced paternal age and high prevalence of certain genetic disorders. The lack of existing data concerning the epidemiology of cleft lip and/or palate in Qatar warrants a descriptive study addressing this topic. METHODS: A retrospective nationwide hospital-based cross-sectional study conducted to determine the prevalence of orofacial clefts in Qatar from 2016 to 2021. Data were extracted from the corporation's Cerner database and electronic health records. Information concerning the cleft's characteristics, type, affected side, patient's gender, presence of associated syndromes, nationality, and maternal age were collected. RESULTS: Out of the 147,727 live births, 148 had an orofacial cleft. The prevalence of cleft lip and/or palate was determined to be 1 per 1000 livebirths (95% CI: 0.85, 1.18). The prevalence of cleft lip was 0.18 (95% CI: 0.12, 0.27), cleft palate 0.39 (95% CI: 0.30, 0.51), and cleft lip and palate 0.43 (95% CI: 0.33, 0.55). Qataris had a prevalence of CL 0.25, CP 0.40, and CLP 0.56, compared to 0.16, 0.39, 0.39 for non-Qataris (p-value 0.186). Unilateral clefts predominated over bilateral (74.4% and 25.6%, respectively). Among the unilateral cases, 70.2% occurred on the left side. Most cases were isolated clefts, with only 10.2% having associated syndromes. CONCLUSIONS: The prevalence of orofacial clefts in Qatar is consistent with the globally reported prevalence. Most cases were unilateral and on the left side. Associated syndromes were infrequent and more common with cleft palate alone. Intriguing patterns were revealed between Qatari nationals and non-Qatari residents, with specific subtypes of orofacial clefts showing higher prevalence among nationals.

Identification of KSR2 Variants in Pediatric Patients with Severe Early-Onset Obesity from Qatar.

The kinase suppressor of Ras 2 (KSR2) gene is associated with monogenic obesity, and loss-of-function variants in KSR2 have been identified in individuals with severe early-onset obesity. This study investigated KSR2 variants in 9 pediatric patients with severe early-onset obesity in Qatar using whole genome sequencing among a cohort of 240 individuals. We focused on KSR2 variants with a minor allele frequency (MAF) below 1% and a Combined Annotation Dependent Depletion (CADD) score above 13 to identify potential causative variants. Our analysis identified four KSR2 variants: one intronic (c.1765-8G>A) and three missense variants (c.1057G>A, c.1673G>A, and c.923T>C) in nine patients. The intronic variant c.1765-8G>A was the most frequent (seen in six individuals) and had a CADD score of 21.10, suggesting possible pathogenicity. This variant showed a significantly higher allele frequency in the Qatari population compared to the Genome Aggregation Database (gnomAD), indicating a possible founder effect. Molecular modeling of the missense variants revealed structural changes in the protein structure. The study concludes that these four KSR2 variants are associated with monogenic obesity, with an autosomal dominant inheritance pattern. The c.1765-8G>A variant's prevalence in Qatar underscores its importance in genetic screening for severe obesity. This research advances the understanding of genetic factors in severe early-onset obesity and may inform better management strategies.

Prevalence and Predictors of Soft Drink Consumption among Adolescents in the Gulf Countries: Findings from National Surveys.

BACKGROUND AND OBJECTIVES: This study aimed to investigate the prevalence and predictors of soft drink consumption among adolescents in the Gulf Cooperation Council (GCC) countries using nationally representative data from the Global School-based Student Health Survey (GSHS). MATERIALS AND METHODS: Cross-sectional data were collected using a self-administered questionnaire in a school survey and included 22,116 adolescents aged 12-18 years from Bahrain, Kuwait, Oman, Qatar, and the United Arab Emirates. Data were collected and analyzed using complex survey methods. The GSHS was not available for Saudi Arabia. Soft drink consumption was the main outcome variable. Multivariable logistic regression was used to examine its associations with sociodemographic characteristics, dietary behaviors, parental factors, and health-related behaviors. RESULTS: The prevalence of soft drink consumption three or more times per day ranged from 10.6% to 26.8% across the countries, with the highest being in Qatar. Adjusted analyses showed that girls had lower odds of SD consumption compared to boys (OR = 0.66; 95% CI: 0.57-0.77). Food insecurity, a proxy for low socioeconomic status, was associated with twice the odds of frequent consumption (OR = 2.06; 95% CI: 1.75-2.43). Parental smoking and low physical activity levels were also associated with higher soft drink intake (OR = 1.46, 95% CI: 1.13-1.88 and OR = 1.18, 95% CI: 1.08-1.28, respectively), while obesity showed a weak positive association. CONCLUSIONS: Daily soft drink consumption was highly prevalent among adolescents in the GCC countries. Sociodemographic, behavioral, and health-related factors were significantly associated with frequent intake. These findings highlight the need for comprehensive, multi-sectoral interventions to reduce soft drink consumption in the region.

Artificial Intelligence Readiness, Perceptions, and Educational Needs Among Dental Students: A Cross-Sectional Study.

OBJECTIVES: With Artificial Intelligence (AI) profoundly affecting education, ensuring that students in health disciplines are ready to embrace AI is essential for their future workforce integration. This study aims to explore dental students' readiness to use AI, perceptions about AI in health education and healthcare, and their AI-related educational needs. MATERIAL AND METHODS: A cross-sectional survey was conducted among dental students at the College of Dental Medicine, Qatar University. The survey assessed readiness for AI using the Medical Artificial Intelligence Readiness Scale (MAIRS). Students' perceptions of AI in healthcare and health education and their educational needs were also explored. RESULTS: A total of 94 students responded to the survey. AI readiness scores were average (3.3 ± 0.64 out of 5); while participants appeared more ready for the vision and ethics domains of MAIRS, they showed less readiness regarding cognition and ability. Participants scored average on AI perceptions (3.35 ± 0.45 out of 5), with concerns regarding AI risks and disadvantages. They expressed a high need for knowledge and skills related to AI use in healthcare (84%), AI for health-related research (81.9%), and AI in radiology and imaging procedures (79.8%). Student readiness had a significant correlation with AI perceptions and perceived level of AI knowledge. CONCLUSIONS: This is the first study in Qatar exploring dental students' AI readiness, perceptions, and educational needs regarding AI applications in education and healthcare. The perceived AI knowledge gaps could inform future curricular AI integration. Advancing AI skills and deepening AI comprehension can empower future dental professionals through anticipated advances in the AI-driven healthcare landscape.

Association between Dietary Pattern, Weight Loss, and Diabetes among Adults with a History of Bariatric Surgery: Results from the Qatar Biobank Study.

We aimed to examine the association between weight loss, dietary patterns, diabetes, and glycemic control among Qatari adults with a history of bariatric surgery (BS). Data from 1893 adults from the Qatar Biobank study were analyzed. Diabetes was defined by blood glucose, HbA1c, and medical history, with poor glycemic control defined as HbA1c ≥ 7.0%. The dietary patterns were derived from a Food Frequency Questionnaire using factor analysis. The participants' mean age was 38.8 years, with a mean weight loss of 23.4% and a 6.1% prevalence of poor glycemic control. Weight loss was inversely associated with diabetes and poor glycemic control. The traditional dietary pattern (high intake of Biryani, chicken, meat, fish dishes, zaatar fatayer, croissant, lasagna, and Arabic bread) was inversely associated with diabetes prevalence, with an OR of 0.61 (95%CI, 0.41-0.99) when comparing extreme quartiles. No significant associations were found between prudent or sweet dietary patterns and diabetes. Among the individuals with known diabetes, the prevalence of remission was 33.4%, with an OR for remission of 5.94 (95%CI, 1.89-18.69) for the extreme quartiles of weight loss. In conclusion, weight loss and traditional dietary patterns are inversely associated with diabetes and glycemic control among adults with a history of BS, with weight loss being the main determinant.