Mushabab Alghamdi

Differential roles of the interleukin 10 family (IL-10, IL-19 and IL-22) in the pathogenesis of type 2 diabetes mellitus in Southern Saudi Arabia. Background: Type 2 diabetes mellitus (T2DM) is a growing global health burden strongly associated with obesity and lifestyle changes. Inflammatory ...

Introduction: With the incorporation of artificial intelligence (AI), significant advancements have occurred in the field of fetal medicine, holding the potential to transform prenatal care and diagnostics, promising to revolutionize prenatal care and diagnostics. This scoping review aims to explore the recent updates in the prospective application of AI in fetal medicine, evaluating its current uses, potential benefits, and limitations. Methods: Compiling literature concerning the utilization of AI in fetal medicine does not appear to modify the subject or provide an exhaustive exploration of electronic databases. Relevant studies, reviews, and articles published in recent years were incorporated to ensure up-to-date data. The selected works were analyzed for common themes, AI methodologies applied, and the scope of AI’s integration into fetal medicine practice. Results: The review identified several key areas where AI applications are making strides in fetal medicine, including prenatal screening, diagnosis of congenital anomalies, and predicting pregnancy complications. AI-driven algorithms have been developed to analyze complex fetal ultrasound data, enhancing image quality and interpretative accuracy. The integration of AI in fetal monitoring has also been explored, with systems designed to identify patterns indicative of fetal distress. Despite these advancements, challenges related to the ethical use of AI, data privacy, and the need for extensive validation of AI tools in diverse populations were noted. Conclusion: The potential benefits of AI in fetal medicine are immense, offering a brighter future for our field. AI equips us with tools for enhanced diagnosis, monitoring, and prognostic capabilities, promising to revolutionize the way we approach prenatal care and diagnostics. This optimistic outlook underscores the need for further research and interdisciplinary partnerships to fully leverage AI’s potential in driving forward the practice of fetal medicine.

Background: Type 2 diabetes mellitus (T2DM) is becoming a major global health concern, especially in developing nations. The high prevalence of obesity and related diabetes cases are attributed to rapid economic progress, physical inactivity, the consumption of high-calorie foods, and changing lifestyles. Objectives: We investigated the roles of pro-inflammatory chemokines CCL1, 2, 4, and 5 in T2DM with varying levels of obesity in the Asir region of Saudi Arabia. Materials and Methods: In total, 170 confirmed T2DM subjects and a normal control group were enrolled. Demographic data, serum levels of CCL-1, 2, 4, and 5, and biochemical indices were assessed in the subjects and control groups by standard procedures. Results: T2DM subjects were divided into four groups: A (normal body weight), B (overweight), C (obese), and D (highly obese). We observed that male and female control subjects had similar mean serum concentrations of pro-inflammatory chemokines CCL-1, 2, 4, and 5. T2DM subjects in all the four groups showed significantly higher levels of all the four chemokines compared to the controls, regardless of gender. In T2DM subjects with obesity and severe obesity, the rise was most significant. There was a progressive rise in the concentrations of CCL-1, 2, and 4 in T2DM subjects with increasing BMI. Serum CCL5 levels increased significantly in all T2DM subject groups. The increase in CCL5 was more predominant in normal-weight people, compared to overweight and obese T2DM subjects. Conclusions: Male and female control subjects had similar serum levels of pro-inflammatory chemokines CCL-1, 2, 4, and 5. The progressive rise in blood concentrations of three pro-inflammatory chemokines CCL-1, 2, and 4 in T2DM subjects with increasing BMI supports the idea that dyslipidemia and obesity contribute to chronic inflammation and insulin resistance. Serum CCL5 levels increased significantly in all T2DM subject groups. The selective and more pronounced increase in CCL5 in the T2DM group with normal BMI, compared to subjects with varying degrees of obesity, was rather surprising. Further research is needed to determine if CCL5 underexpression in overweight and obese T2DM subjects is due to some unexplained counterbalancing processes.

Background: Distractor efficiency (DE) of multiple-choice questions (MCQs) responses is a component of the psychometric analysis used by the examiners to evaluate the distractors’ credibility and functionality. This study was conducted to evaluate the impact of the DE on the difficulty and discrimination indices. Methods: This cross-sectional study was conducted from April to June 2023. It utilizes the final exam of the Principles of Diseases Course with 45 s-year students. The exam consisted of 60 type A MCQs. Item analysis (IA) was generated to evaluate KR20, difficulty index (DIF), discrimination index (DIS), and distractor efficiency (DE). DIF was calculated as the percentage of examinees who scored the item correctly. DIS is an item’s ability to discriminate between higher and lower 27% of examinees. For DE, any distractor selected by less than 5% is considered nonfunctional, and items were classified according to the non-functional distractors. The correlation and significance of variance between DIF, DI, and DE were evaluated. Results: The total number of examinees was 45. The KR-20 of the exam was 0.91. The mean (M), and standard deviation (SD) of the DIF of the exam was 37.5(19.1), and the majority (69.5%) were of acceptable difficulty. The M (SD) of the DIS was 0.46 (0.22), which is excellent. Most items were excellent in discrimination (69.5%), only two were not discriminating (13.6%), and the rest were of acceptable power (16.9%). Items with excellent and good efficiency represent 37.3% each, while only 3.4% were of poor efficiency. The correlation between DE and DIF (p = 0.000, r= -0.548) indicates that items with efficient distractors (low number of NFD) are associated with those having a low difficulty index (difficult items) and vice versa. The correlation between DE and DIS is significantly negative (P = 0.0476, r=-0.259). In such a correlation, items with efficient distractors are associated with low-discriminating items. Conclusions: There is a significant moderate negative correlation between DE and DIF (P = 0.00, r = -0.548) and a significant weak negative correlation between DE and DIS (P = 0.0476, r = -0.259). DIF has a non-significant negative correlation with DIS (P = 0.7124, r = -0.0492). DE impacts both DIF and DIS. Items with efficient distractors (low number of NFD) are associated with those having a low difficulty index (difficult items) and discriminating items. Improving the quality of DE will decrease the number of NFDs and result in items with acceptable levels of difficulty index and discrimination power.

Background: Rheumatoid arthritis (RA) in Saudi Arabia (SA) is a significant health concern with a notable impact on individuals and the healthcare system. This study aimed to investigate the prevalence and profile of comorbidities in patients with RA. Methodology: This is a retrospective descriptive study involving 150 RA patients from August 2022 to August 2023, which was conducted at Khamis Mushait General Hospital, a major healthcare institution in SA. We examined the medical records to gather pertinent information. Stata Statistical Software: Release 18 (2023; StataCorp LLC, College Station, Texas, United States) was used for data analysis. The examination focused on sociodemographic factors, disease duration, prescribed medications (including methotrexate and biologic therapy), and the presence of comorbidities. Approval for the study was obtained from the Institutional Review Board of the Aseer Ministry of Health (approval number: H -06-B-091). Results: The study found a high prevalence of comorbidities in patients with RA. Around 96.7% of the patients had at least one documented comorbidity, highlighting this population's burden of additional health conditions. The most common comorbidity observed was anemia, affecting 48.7% of the patients. Other frequently observed comorbidities include hypertension, hyperlipidemia, diabetes mellitus, osteoporosis, interstitial lung disease, chronic renal disease, stroke, and coronary artery disease. The factors influencing comorbidities included an odds ratio of 1.086 (p=0.025), while being male was associated with lower odds (odds ratio=0.529, p=0.017). Additionally, disease duration (odds ratio=1.164, p=0.007), methotrexate use (odds ratio=2.553, p=0.001), and receiving biologic therapy (odds ratio=3.488, p<0.001) were significant contributors to comorbidities. Conclusion: These findings highlight the need for comprehensive approaches to address RA and its associated comorbidities. Research and awareness initiatives are essential to understand better the specific nuances of RA in SA, leading to improved diagnostic and treatment strategies for the needs of the local population.

Background. Type 2 diabetes mellitus (T2DM) is becoming a major global health concern, especially in poorer nations. The high prevalence of obesity and the ensuing diabetes is attributed to rapid economic progress, physical inactivity, consumption of high-calorie foods, and changing lifestyles. Objectives. We investigated the role of pro-inflammatory chemokines; CCL1, 2, 4 and 5 with varying levels of obesity in T2DM in the Asir region of Saudi Arabia. Materials and methods. 170 confirmed T2DM patients and a normal control group were enrolled. The demographic data, serum levels CCL-1, 2, 4 and 5 and the biochemical indices were assessed in patients and control groups by standard procedures. Results. T2DM patients were divided into four groups: A (normal body weight), B (Overweight), C (obese), and D (highly obese). n controls. We observed that male and female control patients had similar mean serum concentrations of pro-inflammatory chemokines CCL 1, 2, 4, and 5. Chemokines CCL1, CCL2, and CCL4 in the serum of Type 2 Diabetes Mellitus patients with normal or overweight body weights were significantly higher than the control group, regardless of gender. In T2DM individuals with obesity and severe obesity, the rise was most significant. There was a progressive rise in the concentrations of CCL1, 2, and 4 in T2DM) patients with increasing BMI. Serum CCL5 levels increased significantly in all T2DM patient groups. The increase in CCL5 was more predominant in normal-weight people as compared to overweight and obese T2DM patients. Conclusions. Male and female control patients had similar serum levels of pro-inflammatory chemokines CCL 1, 2, 4, and 5. The progressive rise in blood concentrations of three Pro-inflammatory chemokines; CCL1, 2, and 4 in T2DM patients with increasing BMI supports the idea that dyslipidemia and obesity contribute to chronic inflammation and insulin resistance. Serum CCL5 levels increased significantly in all T2DM patient groups. The selective and more pronounced increase of CCL5 in the T2DM group with normal BMI as compared to patients with varying degrees of obesity, was rather surprising. Further research is needed to determine if CCL5 under-expression in overweight and obese T2DM patients is due to some unexplained counterbalancing processes.

Background. Type 2 diabetes mellitus (T2DM) is becoming a major global health concern, especially in poorer nations. The high prevalence of obesity and the ensuing diabetes I attributed to rapid economic progress, physical inactivity, consumption of high-calorie foods, and changing lifestyles. Objectives. We investigated the role of interleukins-10 , 19 and 22 with varying levels of obesity in T2DM in the Asir region of Saudi Arabia. Materials and methods. 170 confirmed T2DM patients and a control group were enrolled. The demographic data, serum levels of IL-10, IL-19, and IL-22, and biochemical indices were assessed in patients and control groups by standard procedures. Results. T2DM patients were divided into four groups: A (normal body weight), B (Overweight), C (obese), and D (highly obese). Both male and female T2DM subjects in Group A showed significant decreases in IL-10 levels as compared to controls; however, there were insignificant changes in IL-10 levels in Groups C and D. T2DM patients in groups C and D, in both males and females, depicted very significant (p 0.001) increases in IL-19 levels as compared to controls and group A. Patient groups A to D displayed a progressive elevation of Il-22 levels irrespective of gender, although significant alterations were seen only in groups B to D, with p 0.05 for group B and p 0.01 for groups C and D respectively, as compared to healthy controls. Conclusions. IL-10 showed a strong relationship with T2DM in males with varying degrees of obesity, but females depicted relatively higher IL-10 levels in obese and highly obese groups, pointing to a protective phenomenon. IL-19 levels showed significant increases in all four groups, irrespective of gender. IL-22 appears to be unrelated to T2DM per se but shows an association with varying degrees of obesity.

Background: Rheumatic diseases encompass a diverse group of autoimmune disorders that affect the joints and connective tissues. The red blood cell distribution width (RDW) has been widely investigated as an inflammatory marker. This scoping review aimed to explore the potential utility of RDW as an inexpensive marker for disease activity in patients with rheumatic diseases. By summarizing the available evidence, we aimed to determine whether RDW can serve as a reliable and accessible indicator of disease activity in these patients. Methods: A comprehensive search was systematically performed across electronic databases, encompassing PubMed, Embase, and Web of Science. Studies have explored the relationship between RDW and disease activity in rheumatic diseases. Data extraction focused on the study characteristics, methodologies, and findings related to RDW as a disease activity marker. Results: After removing duplicates, the initial search yielded 25 relevant studies. These studies encompassed a variety of rheumatic diseases, with rheumatoid arthritis being the most frequently studied condition. The association between RDW and disease activity was assessed by using various disease activity indices and clinical parameters. While some studies have reported a significant correlation between elevated RDW and disease activity, others have yielded inconclusive results. Conclusion: From this review, we concluded that RDW is an inexpensive potential marker for the evaluation of disease activity in rheumatic diseases. RDW is promising as an inexpensive and readily available marker; however, its clinical utility in assessing disease activity in rheumatic conditions warrants more rigorous investigation through well-designed prospective studies.