The Intersection of Faith and Neurodiversity: Unraveling Religiosity in Autistic Adolescents-A Critical Review Analysis.

This literature review aims to explore religiosity, faith, and related beliefs in autistic adolescents. The term religiosity was used interchangeably with various related concepts such as faith, spirituality, and religious beliefs, and a broader, multifaceted approach encompassing the cognitive, subjective, social, cultural, and emotional domains of religiosity is analyzed in this population subgroup. In alignment with the neurodiversity paradigm, this review endeavors to adopt an inclusive lens toward autism spectrum conditions, appreciating the spectrum of cognitive and behavioral differences and highlighting the importance of recognizing strengths and challenges alike, reflecting the nuanced discourse surrounding neurodiversity and autism spectrum conditions. However, terms such as "high-functioning autism" and "disorder" were used where needed to reflect the journals included in the review. A systematic search was conducted by accessing academic search engines such as APA PsycInfo, APA PsycArticles, APA PsycTests, and PubMed. Only peer-reviewed articles written in English and performed on human subjects were included using strict inclusion and exclusion criteria. Several recurring themes were identified from the 13 articles selected after review for relevance and quality. The most important finding was the association of different terminologies and features while exploring "religiosity in autism." Thirty-nine key themes were identified, which were grouped into six major themes. These were religious faith, spirituality, and its expression in autistic adolescents; religious behaviors and practices of autistic adolescents; cognition and religion in autistic teens; social and cultural influences on religiosity in autistic young ones; parents' and carers' influence, perspectives, and experiences about faith and spirituality on autistic adolescents; and perceived benefits of faith to autistic teens: parents and adolescent perspectives. Looking at the concept of religiosity and spirituality as a whole, it can be inferred from the available research included in this review that religiosity (cognitive abilities, behaviors, and experiences) in a subset of autistic adolescents (high-functioning autism) might not be significantly subdued as compared to neurotypical adolescents. However, there is not enough research to conclude the same or the opposite for autistic adolescents in general. When found, reserved religiosity could be attributed to a plethora of factors, and decreased mental ability or mentalization, empathy, or imagination did not seem to be the sole or primary predictors or contributors to religiosity. The role of culture, parents, carers, and religious affiliations was significant and might be a stronger contributor to religiosity and its expression than other previously argued predictors like mentalization. Many autistic teens and their carers regard religiosity and spirituality as essential domains in their and their children's lives, want their children to be given opportunities to be a part of religious groups and affiliations, and look forward to government, religious, and healthcare authorities actively supporting them in this domain. The findings call for policymakers, religious leaders, and stakeholders to devise strategies for inclusion and support for autistic adolescents. The possible role of religion as a resource and coping strategy for these children and their families is worth exploring.

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.

Unknotting tech neck by breaking the cycle of pain and disability: Comparing the impact of instrument assisted soft tissue mobilization on specific muscles and superficial back arm line.

BACKGROUND: Computer professionals often develop a forward head posture due to prolonged hours of computer use, leading to neck pain. Instrument-assisted soft tissue mobilization (IASTM), an advanced technique for treating myofascial trigger points, has become increasingly popular for addressing these musculoskeletal issues. OBJECTIVES: The study aimed to compare the effectiveness of IASTM mobilization on SBAL (superficial back arm line) and SM(specific muscles-upper trapezius, levator scapulae, and sternocleidomastoid) in managing chronic neck pain among computer professionals. PARTICIPANTS & METHODS: The study involved 62 computer professionals, randomly divided into two groups. Group A received IASTM on SBAL and group B received IASTM on SM for neck pain each receiving three sessions weekly for four weeks. Outcome variables like Neck Disability Index (NDI), NPRS(Neck Pain Rating Scale), Craniovertebral angle (CVA), and range of motion (ROM) for flexion, and side flexion (right & left side) were evaluated at baseline, 2 weeks and 4 weeks. RESULTS: Significant improvement in NPRS were observed in both the SBAL and SM groups after 2 weeks of IASTM, wth the SBAL group demonstrating greater improvement. At 4 weeks, IASTM on SBAL showed significantly higher improvements in NPRS, CVA, NDI, and flexion compared to the SM group. The repeated measures ANOVA indicated a significant main effect of both time and group, along with a significant interaction between time and group for all outcome variables, except for CVA. CONCLUSION: The study indicates that IASTM on SBAL may offer a more effective treatment for chronic neck pain in computer professionals compared to targeting specific muscles.

Challenges University Students Face while Studying away from Hometown: A Cross-Sectional Study.

This study aims to highlight the challenges that undergraduates face when traveling a significant distance from home to study. These challenges are psychological, financial, and nutritional. The study was descriptive and based on a survey conducted to investigate the challenges faced by university students while studying away from their hometown. A questionnaire was used to collect data from 214 undergraduates between February and April 2021. The collected data were analyzed using the computer program SPSS version 24. Pearson's Chi-square and Fisher's exact tests were applied to observe associations between qualitative variables. A total of 214 undergraduates participated in the study, with a median age of 22 years. The study found significant relationships between weight change and housing (P < 0.001), weight change and distance (P < 0.001), level of homesickness and housing (P < 0.001), level of homesickness and college distance (P < 0.001), and financial status with housing (P = 0.025). The study revealed that a significant number of undergraduate participants face psychological, financial, and nutritional challenges. These challenges include psychosocial issues, such as homesickness financial difficulties, such as money issues, and nutritional concerns, such as weight changes.

Nrf-2-dependent antioxidant and anti-inflammatory effects underlie the protective effect of esculeoside A against retinal damage in streptozotocin-induced diabetic rats.

Esculeoside A (ESA) is a tomato-derived glycoside with antioxidant and anti-inflammatory properties. The protective effect of ESA against diabetic retinopathy is not well-investigated and was the core objective of this study. In addition, we tested if such protection involves the activation of Nrf2 signaling. Type 1 diabetes mellitus (T1DM) was induced in adult Wistar male rats by an intraperitoneal injection of streptozotocin (65 mg/kg). Non-diabetic and T1DM rats were divided into two subgroup groups given either the vehicle or ESA (100 mg)/kg. An additional T1DM group was given ESA (100 mg/kg) and an Nrf2 inhibitor (2 mg/kg) (n=8 rats/group). Treatments continued for 12 weeks. In this study, according to the histological features, ESA improved the structure of ganglionic cells and increased the number of cells of the inner nuclear and plexiform layers in the retinas of T1DM rats. Concomitantly, it reduced the retina levels of malondialdehyde (lipid peroxides), vascular endothelial growth factor, interleukin-6, tumor necrosis factor-α, Bax, and caspase-3. In the retinas of the control and diabetic rats, ESA boosted the levels of total glutathione, superoxide dismutase, heme-oxygenase-1, and Bcl2, reduced the mRNA levels of REDD1, and enhanced cytoplasmic and nuclear levels of Nrf2. However, ESA failed to alter the mRNA levels of Nrf2 and keap1, protein levels of keap1, plasma glucose, plasma insulin, serum triglycerides, cholesterol, and LDL-c in both the control and T1DM rats. In conclusion, ESA alleviates retinopathy in T1DM rats by suppressing REDD1-associated degradation and inhibiting the Nrf2/antioxidant axis.

Smartphone Thermal Imaging for Preoperative Perforator Mapping in Perforator Based Flaps.

OBJECTIVE: To determine the diagnostic accuracy of smartphone thermal imaging for preoperative perforator mapping in perforator-based flaps, taking visual inspection as gold standard. METHODOLOGY: It was a cross-validation study conducted at the Department of Plastic Surgery, Dr. Ruth K. Pfau Civil Hospital, Karachi, Pakistan, from August 2022 to January 2023. All adult patients aged 18 to 40 years of either gender undergoing perforator flap surgery were included. Each patient followed the same treatment regimen, which involved the preoperative identification of the perforator location using the FLIR One camera. Subsequently, confirmation was achieved during the surgical procedure through visual inspection. A two-by two table was used to calculate sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy. RESULTS: The mean age of the patients was 30.10±6.87 years, ranging from 18 to 40 years. Most of the patients were males (58.7%), and 41.3% were females. Almost 80.4% were pedicle flaps, and 19.6% were free flaps. The accuracy of thermal imaging was found to be 83.2%, with a sensitivity of 84.3%, a specificity of 80%, a PPV of 92.9%, and a NPV of 62.2%, respectively. CONCLUSION: Smartphone-based thermal imaging is useful for the diagnosis of perforators and has high sensitivity and specificity.

Complications of Intrathecal Baclofen Pump Therapy: An Institutional Experience from Saudi Arabia.

The intrathecal baclofen pump (ITB) is one of the advanced treatment options in the management of spasticity. This retrospective cohort study was conducted to identify the complications of ITB treatment at a tertiary care rehabilitation facility. Various demographic and technical factors were analyzed, which are less often reported in the literature. All patients with ITB who had their refill at the ITB clinic between November 2019 and March 2020 were included. Of 48 patients, 17 patients had 18 (37.5%) ITB-related complications. Catheter-related complications were most common, whereas loss of efficacy (16.7%) and baclofen withdrawal (14.5%) were the most common outcomes of complications. Only catheter occlusion had a significant relationship with the pattern of spastic quadriparesis (p = 0.001). Gender, rehabilitation diagnosis, patients' residence, and facility of ITB placement did not have significant association. Similarly, age, distance from hospital, disease onset, ITB therapy duration, and baclofen dose were not statistically significant in relation to ITB-related complications.

Association between metabolically healthy obesity and metastasis in lung cancer patients - a systematic review and meta-analysis.

Background: Many clinical trials have looked at the relationship between obesity and lung cancer (LC), however, there is scarcity of literature specifically addressing the association between metabolically healthy obesity and metastasis in LC patients. To address this gap in the body of evidence, the study was conducted to observe the association between metabolically healthy obesity and metastasis in LC patients. Methods: We conducted a pre-registered systematic review by searching six major online databases to identify studies relevant related to our investigation, in adherence with the PRISMA guidelines. A proper data extraction protocol was further established to synthesize the findings from the selected papers through a meta-analysis. Results: Eleven (11) studies met the requisite selection criterion and were included in the study. A random-effect model was used. Obesity was found to have a significant impact on readmission in LC patients. The combined analysis showed a significant effect size of 0.08 (95% CI 0.07 to 0.08), indicating a noticeable impact of obesity. It was also assessed that obese individuals had a 34% reduced risk of LC compared to normal weight individuals. Obesity was associated with a lower risk of surgical complications with a pooled risk ratio of 0.13 (95% CI 0.12 to 0.14). A statistically significant decreased risk of LC (pooled RR = 0.72, 95% CI: 0.68 to 0.77) was also observed in the obese individuals. Conclusion: The analysis reveals that obesity is associated with a noticeable increase in readmissions, although the impact on LC risk itself is negligible. Moreover, obesity appears to have a beneficial effect by reducing the risk of surgical complications. These results highlight the complex relationship between the two aforementioned factors, emphasizing the importance of considering obesity as a significant factor in patient management and healthcare decision-making. Systematic review registration: https://www.crd.york.ac.uk/prospero/, identifier CRD42023427612.

Enhancing Cardiovascular Health and Functional Recovery in Stroke Survivors: A Randomized Controlled Trial of Stroke-Specific and Cardiac Rehabilitation Protocols for Optimized Rehabilitation.

BACKGROUND: Stroke is a major contributor to disability and mortality globally. It leads to physical impairments, including weakness and cardiovascular deconditioning, posing significant challenges to stroke survivors' quality of life. Exercise-based cardiac rehabilitation has shown promise as a rehabilitation strategy. This study aims to assess and compare the impacts of stroke-specific rehabilitation and individualized cardiac rehabilitation exercises on various health parameters in stroke patients. METHODS: A randomized controlled trial was conducted, involving 38 stroke patients aged 40-75 years. Group A received stroke-specific rehabilitation, which consisted of a combination of range of motion exercises, strength training for the paralyzed side, balance and coordination training, gait training, functional mobility exercises, neuromuscular reeducation, and breathing exercises. This program was conducted five days per week for 12 weeks. Group B received individually designed cardiac rehabilitation exercises, in addition to stroke-specific rehabilitation. They engaged in this exercise for at least 30-45 min per day, four days per week, and incorporated two days of resistive training over a 12-week period. Baseline and post-intervention assessments included measures of cardiac autonomic function, balance (Berg Balance Scale), mobility (Timed Up and Go Test), cardiovascular fitness indicators, respiratory parameters, exercise efficiency, and perceived exertion. RESULTS: Group B receiving individualized cardio rehab showed significant improvements in balance and mobility compared to Group A receiving conventional stroke-specific rehab. Moreover, Group B exhibited enhanced cardiovascular fitness, respiratory performance, exercise efficiency, and autonomic function post-intervention. Notably, Group A displayed no significant improvements in these parameters. CONCLUSIONS: Individualized cardiac rehabilitation exercises demonstrated favorable outcomes in improving certain health parameters, highlighting the potential benefits of individualized rehabilitation strategies for stroke patients.

Elevating athletic performance: Maximizing strength and power in long jumpers through combined low-intensity blood flow restriction and high-intensity resistance training.

Purpose: This study aimed to evaluate the effects of low-intensity blood flow restriction (BFR) training and high-intensity resistance training (HI-RT) on the leaping performance of long-jumpers. Materials and methods: Long jump players were divided into two groups; one group (group A) receiving HI-RT (n = 8) and the other group (group B) receiving combined low-intensity BFR training plus HI-RT (n = 8). Muscle power and knee muscle strength was assessed at baseline, 3 weeks and 6 weeks of intervention. Results: 1-RM was found to be significantly different between Group A and Group B at 3 and 6 weeks. Further, IKDQR, IKDHR and IKDQL was significantly improved in group B as compared to group A both at 3 and 6 weeks. There was significant time effect, group effect and time-group interaction in the strength of quadriceps and hamstring of both left and right leg measured through isokinetic device. Post-hoc analysis for 1-RM in group B showed a significant improvement at baseline and 6 weeks and the broad jump was significant at baseline and 3 weeks and at baseline and 6 weeks. Conclusion: The combined effects of low-intensity BFR training and HI-RT is effective in improving the muscle strength and power of lower limbs in long jumpers.

Comparing the Effectiveness of Role-Play Simulation versus Real Patient Transferal Skills Training in Occupational Therapy Students in Saudi-Arabia- A Quasi-Experimental Study.

Purpose: To compare the effectiveness of using role-play simulation as a possible alternative to real-patient training to teach transferal skills to occupational therapy students. Patients and Methods: Seventy-one occupational therapy students (including those in their second, third and fourth years) participated in a quasi-experimental study. The students were randomly divided into two groups. One group received role-play simulation at the university. The other received training on real patients with mild to moderate stroke and spinal cord injury (one session/week for six weeks) in clinical (inpatient) settings in Jeddah to learn patient transferring skills. Student performance was taken as a measure of teaching method effectiveness, and was evaluated by using a validated OSCE-type assessment tool developed at the end of training. The tool showed good reliability (Cronbach's α was > 0.7) and inter-reliability (Kappa < 0.001). Results: A total number of 71 students participated in the study. The majority of the students were female (66.2%, N=47) and 33.8% (N=24) were male. About 33.8% (N=24) of students were in the second year, 29.6% (N=21) were in the third year and 36.6% (N=26) were in the fourth year. There were 36 (49.3%) students in the simulation group The mean age of the students was 20.70 (SD=1.2). There was no significant difference in the students' performance in both groups with a P-value of 0.139. Conclusion: Role-play simulation can effectively be used for students' training as there was no difference in the outcome of the students' performance in patient transferring skills in both groups. This finding can help in designing and implementing training through simulation, especially in situations where training on severely ill patients may be a safety risk.

Promising score for teaching and learning environment: an experience of a fledgling medical college in Saudi Arabia.

BACKGROUND: Professional competency of graduates of an institute reflects its teaching and learning environment (TLE). This study aimed to provide a preliminary assessment of the TLE at the College of Medicine at Majmaah University. METHODS: A cross-sectional survey was conducted during the 2019-20 academic year among students at the College. A validated scoring tool "the Experience of Teaching and Learning Questionnaire" (available at https://bit.ly/3sVBuEw ) was used. The mean score of each section and statement, the difference between the mean scores of different demographic groups, and correlations between sections were analysed. RESULTS: A total of 234 (72.2%) enrolled students participated in this survey, with a male-to-female ratio and a ratio of participants from basic to clinical years being 2:1 and 1:1, respectively. Most participants reported a GPA of above 3/5. The overall mean score was 3.52/5 points. Section one "approaches to learning and studying" has the highest mean score (3.68), and no section scored a mean below three, though section three "demands made by the course" scored a borderline mean of 3.08. Students in clinical years had a significantly higher overall mean score compared to their counterparts (3.66 vs. 3.39, p < 0.001). CONCLUSIONS: Students at the College had a positive perception of the TLE, but face challenges in coping with the demands of acquiring knowledge and subject-based skills, and in appreciating the TLE especially during basic science years, highlighting the need for an atmosphere that allows them to meet demands and develop greater appreciation.

Functional Outcomes of Patients with Primary Brain Tumors Undergoing Inpatient Rehabilitation at a Tertiary Care Rehabilitation Facility in Saudi Arabia.

Rehabilitation services play a crucial role in improving the functionality and quality of life of individuals with a brain tumor; however, outcomes of inpatient rehabilitation based on tumor characteristics are not well known in the literature. This study was carried out to evaluate the effects of tumor characteristics on functional outcomes. A retrospective chart review was conducted for all adults with a diagnosis of primary brain tumor admitted for IPR between January 2014 and December 2019. Information was collected regarding demographics, characteristics of primary brain tumors, length of stay (LOS) and Functional Independence Measurement (FIM) scores. There were 46 patients, with the majority being male. The most common brain tumors were glioblastoma multiforme and meningioma. The mean LOS was 47.93 ± 26.40 days and the mean FIM gain was 78 ± 14. The type, grade and location of primary brain tumors did not show a significant correlation with the length of stay and functional gains during inpatient rehabilitation. There was a positive correlation between the FIM at admission and discharge, and a significant inverse correlation between the FIM score at admission and LOS. In-patient rehabilitation improved the functional outcomes in adult patients with primary brain tumors. Strategies to incorporate IPR in the care continuum of patients with brain tumors need to be adapted to improve regional services.

A Single Centre, Randomized Control Trial Of Donor Site Wound Dressings After Split-Thickness Skin Grafting.

BACKGROUND: Split-thickness skin grafting (STSG) is a widely employed technique for repairing wounds, such as ulcers, trauma, or in reconstructive surgeries. The objective was to compare the efficacy of different dressing materials for healing donor-site wounds after split-thickness skin grafting. METHODS: A single center, randomized controlled trial was conducted at the Department of Plastic Surgery, Civil Hospital Karachi, Pakistan, over a period of six months. The study included patients aged 18 years and above, of both genders, who underwent single donor-site wounds after split-skin grafting with a surface area larger than 10 cm². The eligible patients were randomly divided into six groups: Film, Alginate, Gauze, Hydrofiber, Hydrocolloid, and Silicone. Pain, itching, scarring, complications, and patient satisfaction were evaluated after 12 weeks using standardized assessment scales. RESULTS: The median time to complete wound healing and re-epithelialization varied among the different dressing groups, with hydrofiber and silicone dressings demonstrating the shortest healing time. Statistical analysis revealed a significant difference in the median time to complete wound healing among the dressing groups (p-value=0.019). However, no significant differences were observed in pain, itching, scarring (POSAS observer and patient), or patient satisfaction among the different dressings (p-value>0.05). CONCLUSIONS: Although the dressing type did not significantly affect pain, itching, scarring, or patient satisfaction, variations were observed in the time to complete wound healing. These findings contribute to the selection of appropriate donor site dressings for optimizing outcomes in split-skin grafting procedures.

Oral Health Statuses of Children and Young Adults with Autism Spectrum Disorder: An Umbrella Review.

This study aimed to comprehensively evaluate the oral health statuses of children and adults within the autism spectrum disorder (ASD) population through an umbrella review approach. The prevalence of dental caries, periodontal disease, and associated variables were investigated across selected studies. A systematic search was conducted across databases including PubMed, Scopus, EMBASE, Science Citation Index, Science Direct, Web of Science, MEDLINE, and Wiley Online Library to identify relevant studies. The assessed variables included dental caries prevalence, periodontal disease prevalence, oral hygiene indicators, and the necessity of dental treatment. The pooled prevalence rates, odds ratios, and standardized mean differences were calculated where applicable. The pooled prevalence of dental caries among ASD individuals ranged from 60.6% to 67.3%, while the periodontal disease prevalence ranged from 59.8% to 69.4%. High rates of dental treatment under general anesthesia were reported. Heterogeneous dental caries and periodontal disease prevalence rates were identified, highlighting the need for collaboration and preventive care. Several studies also reported higher prevalence rates of dental trauma and self-inflicted oral injuries among individuals with ASD. However, the review also identified significant methodological limitations in the included studies, including inconsistency in oral health assessment methods and potential bias. The necessity for targeted policies due to high prevalence rates and the requirement for integrated care systems in high DMFT regions were also observed. The umbrella review synthesized diverse findings, revealing variations in dental caries and periodontal disease prevalence among ASD individuals. This review underscores the need for tailored interventions and policies to address oral health disparities. It highlights the necessity of integrated care systems, methodological improvements, and longitudinal studies to comprehensively address the multifaceted oral health challenges within the ASD population.

Prediction and Classification of COVID-19 Admissions to Intensive Care Units (ICU) Using Weighted Radial Kernel SVM Coupled with Recursive Feature Elimination (RFE).

Healthcare systems have been under immense pressure since the beginning of the COVID-19 pandemic; hence, studies on using machine learning (ML) methods for classifying ICU admissions and resource allocation are urgently needed. We investigated whether ML can propose a useful classification model for predicting the ICU admissions of COVID-19 patients. In this retrospective study, the clinical characteristics and laboratory findings of 100 patients with laboratory-confirmed COVID-19 tests were retrieved between May 2020 and January 2021. Based on patients' demographic and clinical data, we analyzed the capability of the proposed weighted radial kernel support vector machine (SVM), coupled with (RFE). The proposed method is compared with other reference methods such as linear discriminant analysis (LDA) and kernel-based SVM variants including the linear, polynomial, and radial kernels coupled with REF for predicting ICU admissions of COVID-19 patients. An initial performance assessment indicated that the SVM with weighted radial kernels coupled with REF outperformed the other classification methods in discriminating between ICU and non-ICU admissions in COVID-19 patients. Furthermore, applying the Recursive Feature Elimination (RFE) with weighted radial kernel SVM identified a significant set of variables that can predict and statistically distinguish ICU from non-ICU COVID-19 patients. The patients' weight, PCR Ct Value, CCL19, INF-ß, BLC, INR, PT, PTT, CKMB, HB, platelets, RBC, urea, creatinine and albumin results were found to be the significant predicting features. We believe that weighted radial kernel SVM can be used as an assisting ML approach to guide hospital decision makers in resource allocation and mobilization between intensive care and isolation units. We model the data retrospectively on a selected subset of patient-derived variables based on previous knowledge of ICU admission and this needs to be trained in order to forecast prospectively.

Exploration of Black Boxes of Supervised Machine Learning Models: A Demonstration on Development of Predictive Heart Risk Score.

Machine learning (ML) often provides applicable high-performance models to facilitate decision-makers in various fields. However, this high performance is achieved at the expense of the interpretability of these models, which has been criticized by practitioners and has become a significant hindrance in their application. Therefore, in highly sensitive decisions, black boxes of ML models are not recommended. We proposed a novel methodology that uses complex supervised ML models and transforms them into simple, interpretable, transparent statistical models. This methodology is like stacking ensemble ML in which the best ML models are used as a base learner to compute relative feature weights. The index of these weights is further used as a single covariate in the simple logistic regression model to estimate the likelihood of an event. We tested this methodology on the primary dataset related to cardiovascular diseases (CVDs), the leading cause of mortalities in recent times. Therefore, early risk assessment is an important dimension that can potentially reduce the burden of CVDs and their related mortality through accurate but interpretable risk prediction models. We developed an artificial neural network and support vector machines based on ML models and transformed them into a simple statistical model and heart risk scores. These simplified models were found transparent, reliable, valid, interpretable, and approximate in predictions. The findings of this study suggest that complex supervised ML models can be efficiently transformed into simple statistical models that can also be validated.

Association of Proliferative Activity in Invasive Ductal Carcinoma Breast in Pakistani Population.

Background: Personalized medicine has played very important role in management of breast cancer. Proliferative index is one among the prognostic and predictive factor but unfortunately due to varied reports , no definite consensus and routine medical practice has been approved for it. The objective of the study is to observe the association of Ki-67 index using St. Gallen Conference criteria in invasive ductal carcinoma breast in Pakistani Population. Methods: Eighty-three patients with confirmed light microscopic diagnosis of primary invasive ductal carcinoma were recruited in this prospective study . Expression of Ki67 was determined by classifying as low (<15%) and high (>15%) Ki67 in tumour. Statistical analysis was performed to observe the association of Ki-67 with clinicopathological parameters and molecular group (i.e., Luminal A, Luminal B, Her2 enriched and triple negative). Results: Out of 83 patients, 73.5% of patients showed >15% Ki67 (p value <0.001). High expression of Ki 67 (>15%) was observed in 3.6%, 21.7% and 48.2 % of Nottingham grade I, II and III (p value=0.017) respectively. Among molecular group, high expression of Ki67 was observed 20.5% in Luminal A, 9.6% in Luminal B, 15.7% in Her2 enriched and 27.7% in triple negative groups (p= 0.017). There was no significant association observed in expression of Ki 67 among lymph node stage, tumour stage and Nottingham prognostic index. Conclusion: Higher Ki-67 reactivity is usually associated with higher-grade morphology of tumour. It can act as an independent predictor in assessment of tumour behavior. However, larger validation clinical studies are still required for confirmation of its importance and for routine practice.

Hesitancy in COVID-19 vaccine uptake and its associated factors among the general adult population: a cross-sectional study in six Southeast Asian countries.

BACKGROUND: Vaccines are effective and reliable public health interventions against viral outbreaks and pandemics. However, hesitancy regarding the Coronavirus disease (COVID-19) vaccine is evident worldwide. Therefore, understanding vaccination-related behavior is critical in expanding the vaccine coverage to flatten the infection curve. This study explores the public perception regarding COVID-19 vaccination and identifies factors associated with vaccine hesitancy among the general adult populations in six Southeast Asian countries. METHODS: Using a snowball sampling approach, we conducted a descriptive cross-sectional study among 5260 participants in Indonesia, Malaysia, Myanmar, Philippines, Thailand, and Vietnam between February and May 2021. Binary logistic regression analysis with a backward conditional approach was applied to identify factors associated with COVID-19 vaccine hesitancy. RESULTS: Of the total, 50.6% were female, and the median age was 30 years (range: 15-83 years). The majority of the participants believed that vaccination effectively prevents and controls COVID-19 (81.2%), and 84.0% would accept COVID-19 vaccines when they become available. They agreed that health providers' advice (83.0%), vaccination convenience (75.6%), and vaccine costs (62.8%) are essential for people to decide whether to accept COVID-19 vaccines. About half (49.3%) expressed their hesitancy to receive the COVID-19 vaccines. After adjustment for other covariates, COVID-19 vaccine hesitancy was significantly associated with age, residential area, education levels, employment status, and family economic status. Participants from Indonesia, Myanmar, Thailand, and Vietnam were significantly more likely to express hesitancy in receiving COVID-19 vaccines than those from Philippines. CONCLUSIONS: In general, participants in this multi-country study showed their optimistic perception of COVID-19 vaccines' effectiveness and willingness to receive them. However, about half of them still expressed their hesitancy in getting vaccinated. The hesitation was associated with several socioeconomic factors and varied by country. Therefore, COVID-19 vaccination programs should consider these factors essential for increasing vaccine uptake in the populations.

Development of Nonlaboratory-Based Risk Prediction Models for Cardiovascular Diseases Using Conventional and Machine Learning Approaches.

Criticism of the implementation of existing risk prediction models (RPMs) for cardiovascular diseases (CVDs) in new populations motivates researchers to develop regional models. The predominant usage of laboratory features in these RPMs is also causing reproducibility issues in low-middle-income countries (LMICs). Further, conventional logistic regression analysis (LRA) does not consider non-linear associations and interaction terms in developing these RPMs, which might oversimplify the phenomenon. This study aims to develop alternative machine learning (ML)-based RPMs that may perform better at predicting CVD status using nonlaboratory features in comparison to conventional RPMs. The data was based on a case-control study conducted at the Punjab Institute of Cardiology, Pakistan. Data from 460 subjects, aged between 30 and 76 years, with (1:1) gender-based matching, was collected. We tested various ML models to identify the best model/models considering LRA as a baseline RPM. An artificial neural network and a linear support vector machine outperformed the conventional RPM in the majority of performance matrices. The predictive accuracies of the best performed ML-based RPMs were between 80.86 and 81.09% and were found to be higher than 79.56% for the baseline RPM. The discriminating capabilities of the ML-based RPMs were also comparable to baseline RPMs. Further, ML-based RPMs identified substantially different orders of features as compared to baseline RPM. This study concludes that nonlaboratory feature-based RPMs can be a good choice for early risk assessment of CVDs in LMICs. ML-based RPMs can identify better order of features as compared to the conventional approach, which subsequently provided models with improved prognostic capabilities.