Golden Hour Intravenous Thrombolysis for Acute Ischemic Stroke: A Systematic Review and Meta-Analysis.

OBJECTIVES: The benefits of intravenous thrombolysis are time-dependent, with maximum efficacy when administered within the first "golden" hour after onset. Nevertheless, the impact of golden hour thrombolysis has not been well quantified. METHODS: Medline, Embase, and Web of Science databases were systematically searched from inception to August 27, 2023. We included studies that reported safety and efficacy outcomes of ischemic stroke patients treated with intravenous thrombolysis in the golden hour versus later treatment window. The primary outcome was an excellent functional outcome, defined as a modified Rankin Scale score of 0-1 at 90 days. The secondary efficacy outcome was a good functional outcome (defined as modified Rankin Scale score of 0-2). The main safety outcome was symptomatic intracerebral hemorrhage. RESULTS: Seven studies involving 78,826 patients met the selection criteria. Golden hour thrombolysis was associated with higher odds of 90-day excellent functional outcomes (OR 1.40, 95% CI 1.16-1.67) and 90-day good functional outcomes (OR 1.38, 95% CI 1.13-1.69) compared with thrombolysis outside the golden hour. The number needed to treat to benefit for golden hour thrombolysis to reduce disability by at least 1 level on the modified Rankin Scale per patient was 2.6. Rates of symptomatic intracerebral hemorrhage and mortality were similar between groups. INTERPRETATION: Golden hour thrombolysis significantly improved acute ischemic stroke outcomes. The findings provide rationale for intensive efforts aimed at expediting thrombolytic therapy within the golden hour window following the onset of acute ischemic stroke. ANN NEUROL 2024.

Failure and complication rates of different materials, designs, and bonding techniques of ceramic cantilever resin-bonded fixed dental prostheses for restoring missing anterior teeth: A systematic review and meta-analysis.

OBJECTIVES: The objective of this review was to assess clinical trials that have examined the materials, design, and bonding of ceramic cantilevered resin-bonded fixed dental prostheses (RBFDPs) as a potential option for replacing missing anterior teeth. The evaluation primarily focuses on the rate of restoration failure and clinical complications. MATERIALS AND METHODS: A thorough search of databases including PubMed/MEDLINE, Scopus, and the Cochrane Library, was conducted. The most recent search was performed in October 2023. Clinical studies that compared ceramic cantilevered RBFDPs with double retainers or cantilevered RBFDPs using different ceramic materials or bonding systems were included. The outcome measures considered were restoration failure and complication rates. RESULTS: Twelve studies met the eligibility criteria. The pooled data showed a statistically significant decrease in complication events when using cantilever designs compared with double retainer designs (p < 0.05); however, there were no differences found between the two designs in terms of restoration failure. The complication and failure rate of cantilever RBFDPs did not show a statistically significant difference with or without ceramic primer application before luting with phosphate monomer-containing luting resin (p > 0.05). CONCLUSIONS: Ceramic cantilevered RBFDPs have lower complication rates compared with those with double retainers. The use of a ceramic primer prior to luting composite resin for ceramic cantilevered RBFDPs decreases the occurrence of complications and failures, although this effect was not statistically significant. Additional research is required to confirm these findings. Glass ceramic cantilever RBFDPs showed a decrease in success after 6 years, requiring ongoing monitoring, but both zirconia and glass-infiltrated alumina cantilever RBFDPs have demonstrated durability with excellent long-term success and survival rates for up to 10 and 15 years. CLINICAL SIGNIFICANCE: Cantilever ceramic RBFDPs in the anterior region are a less invasive and valuable treatment option, providing good esthetic results.

Shifting spatial, temporal and demographic patterns of dengue incidence and associated meteorological factors in Jazan Region of Saudi Arabia from 2015-2020.

BACKGROUND: Dengue poses a considerable public health threat in Saudi Arabia, with escalating outbreaks in Jazan, where seasonal rains create ideal mosquito breeding conditions. Elucidating local epidemiological dynamics is imperative to strengthen evidence-based prevention policies. This study analyzed the spatiotemporal, demographic, and meteorological patterns of dengue in Jazan from 2015-2020. METHODS: This retrospective cross-sectional study utilized surveillance records for 3427 confirmed dengue cases. Descriptive analyses characterized geographic, seasonal, age, sex, and nationality distributions. Forecasting models project expected epidemics through 2025. Regression analysis identified climate factors associated with monthly case counts. RESULTS: Dengue exhibited shifting seasonal peaks, transitioning into year-round transmission by 2019, indicating endemic establishment. Cases clustered in different high-burden sectors annually, requiring localized vector control. The majority of affected individuals were young male adults, with gender gaps narrowing over time. Saudi nationals had an escalating incidence, but non-citizens showed a higher risk, signaling importation threats. Seasonal outbreaks were associated with temperature, wind speed, and direction. CONCLUSION: Enhanced surveillance, outbreak forecasting, targeted control activities, and integrated prevention policies grounded in continuous evidence assessment can effectively address endemic dengue transmission in Jazan. This study provides key insights to optimize data-driven decision-making for dengue control in Saudi Arabia.

Socio-behavioural determinants associated with the first dental visit in Saudi children: A cross-sectional study.

BACKGROUD: Oral health is an integral component of overall well-being, understanding the age at which children have their first dental visit (FDV) and the socio-behavioural factors influencing these visits is essential for improving oral health outcomes in children. AIM: This study aimed to determine the age at which Saudi children had their FDV and the socio-behavioural predictors associated with these visits in Al Jouf Province, Kingdom of Saudi Arabia. DESIGN: This cross-sectional study used a multistage stratified random sampling technique to invite 566 parents/guardians of schoolchildren aged 12 years or younger. Multinomial logistic regression analysis was used to identify socio-behavioural variables that predict children's FDV. p < 0.05 was considered statistically significant. RESULTS: Most FDVs in children occurred between the ages of 6 and 10 years. More than half of the participants stated that FDVs occurred primarily because of dental pain. Furthermore, educated mothers reported a higher frequency of dental visits for their children. Children with a low family income were 63% (95% confidence interval 0.16-0.83; p = .015) less likely to visit a dentist between the ages of 1 and 5 years. CONCLUSION: First dental visits in children in Al Jouf Province typically occurred between the ages of 6 and 10 years, with dental pain being the main reason. Parents' or caregiver's relationships with children, parental age and familial income were identified as predictors of the FDV.

Barriers and facilitators for oral health screening among tobacco users: a mixed-methods study.

OBJECTIVES: Tobacco consumption adversely affects general and oral health and is considered one of the significant public health burdens globally. The present study aims to assess the barriers and facilitators for attending oral and dental health screening among tobacco users who seek cessation advice. METHODOLOGY: The present mixed-methods study used group concept mapping (GCM) to identify the facilitators/barriers to attending oral health screening among young adults attending face-to-face and virtual Tobacco Cessation Clinic at King Saud University (Riyadh, Saudi Arabia) between September 2022 and April 2023. Study investigators included healthcare social workers, dental interns, and oral and maxillofacial medicinists. Information about demographics, general health, oral/dental health and tobacco use were collected using self-completed questionnaires. The barriers and facilitators were assessed following GCM by brainstorming, sorting, rating, and interpretation activities. Descriptive, multidimensional scaling and hierarchical cluster analysis were used to describe the study participants and produce concept maps of the generated statements. RESULTS: The study included 148 participants who generated 67 statements summarised into 28 statements as facilitators or barriers. Based on a 5-point importance scale, the participants indicated the importance of facilitators under health-related cluster [e.g. when I feel pain] as the highest, followed by personal [e.g. to maintain my mouth hygiene], social [e.g. the quality of treatment] and financial clusters [e.g. the reasonable cost]. Concerning barriers, financial factors [e.g. high cost] acted as the highest-rated barrier, followed by personal [e.g. lack of dental appointments] and health-related [e.g. worry that dental problems will worsen]. The social factors were the least considerable barrier [e.g. lack of time]. Clustering these facilitators/barriers on the concept map indicated their conceptual similarity by an average stress value of 0.23. CONCLUSION: Pain was the most important facilitator to attending oral health screening by young adults seeking tobacco cessation advice. Notable barriers included the high cost of dental treatment and the lack of scheduled appointments. Thus, oral health care providers need to consider scheduling periodic and timely dental check-ups to prevent and reduce the burden of tobacco-associated and pain-causing oral diseases.

Associations of Electronic Device Use and Physical Activity with Headaches in Saudi Medical Students.

Background and Objectives: Primary headaches are highly prevalent among medical students, negatively impacting their health and academic performance. Excessive electronic device use has been implicated as a risk factor, in contrast to physical activity, which may be a protective factor; however, comprehensive data are lacking, especially for Saudi medical trainees. This study aims to investigate the associations between device use, exercise, and headaches among Saudi medical students. Materials and Methods: In this cross-sectional study, 504 medical students at Jazan University completed an online survey collecting sociodemographic factors, headache characteristics/triggers, electronic device habits, exercise frequency, and headache impacts. Descriptive analyses summarized sample characteristics. Logistic regression identified predictors of 12-month headache prevalence. Results: Overall, 83% reported experiencing headaches in the past year. High headache prevalence was observed among females (86.6%) and third-year students (88.3%). Using electronic devices ≥4 h daily was associated with higher adjusted odds of headaches (OR 13.89, 95% CI 1.96-98.54) compared to ≤1 h daily. Low physical activity (exercising 1 day vs. 7 days a week) also increased headache odds (OR 3.89, 95% CI 1.61-9.42). Headaches impairing productivity (OR 4.39, 95% CI 2.28-8.45) and exacerbated by exercise (OR 10.37, 95% CI 2.02-53.35) were further associated with headache susceptibility. Conclusions: Excessive electronic device use and physical inactivity appear to be modifiable risk factors for frequent headaches in Saudi medical students. Multifaceted interventions incorporating education campaigns, skills training, and support services focused on promoting responsible technology habits, and regular exercise may help mitigate headaches in this population. Robust longitudinal studies and trials are warranted to establish causal mechanisms between lifestyle factors and headaches among medical undergraduates.

The utility of serum glucose potassium ratio as a predictive factor for haemorrhagic transformation, stroke recurrence, and mortality among ischemic stroke patients.

Background and Objective: Glucose-Potassium Ratio (GPR) has emerged as a biomarker in several pathophysiological conditions. However, the association between GPR and long-term outcomes in stroke patients has not been investigated. Our study evaluated the applicability of baseline GPR as a predictive prognostic tool for clinical outcomes in ischemic stroke patients. Methods: The multicenter retrospective cohort study included acute-subacute adult ischemic stroke patients who had their baseline serum GPR levels measured. Eligible patients were categorized into two sub-cohorts based on the baseline GPR levels (<1.67 vs. ≥ 1.67). The primary outcome was the incidence of 30-day hemorrhagic transformation, while stroke recurrence, and all-cause mortality within twelve months, were considered secondary. Results: Among 4083 patients screened, 1047 were included in the current study. In comparison with GPR < 1.67 group, patients with ≥ 1.67 GPR had a significantly higher ratio of all-cause mortality within twelve months (aHR 2.07 [95 % CI 1.21-3.75] p = 0.01), and higher ratio of 30-day hemorrhagic transformation but failed to reach the statistical significance (aHR 1.60 [95 % CI 0.95-2.79], p = 0.08). Conclusion: Overall, baseline GPR serum is an independent predictor of all-cause mortality within twelve months in patients with acute and subacute ischemic stroke. Further clinical studies are necessary to validate these findings.

Significance of the longitudinal component of paraxial light in position-dependent selection rules for quadrupole atomic transitions.

It is well established that the longitudinal component of paraxial optical vortices has a key role in specific atomic quadrupole transitions near the beam axis when the spin and orbital angular momenta are antiparallel. By deriving analytical expressions for the position-dependent selection rules, this work shows that the significant role of the longitudinal fields is not limited to this case, but rather is a more general feature for any paraxial light including, for example, optical vortices with parallel spin and orbital angular momenta as well as Guassian beams. Numerically, the transition strengths induced by the weaker longitudinal component can be twice as high as those by the stronger transverse component. We also show that there are transitions that can be induced exclusively by the longitudinal component for light carrying two quanta of orbital angular momentum.

Applying Access Control Enabled Blockchain (ACE-BC) Framework to Manage Data Security in the CIS System.

Cybersecurity information sharing (CIS) is important in different business processes to secure data transmission, because it comprises Internet of Things (IoT) connectivity, workflow automation, collaboration, and communication. The shared information is influenced by intermediate users and alters the originality of the information. Although risk factors such as confidentiality and privacy of the data are reduced when using a cyber defense system, existing techniques rely on a centralized system that may be damaged during an accident. In addition, private information sharing faces rights issues when accessing sensitive information. The research issues influence trust, privacy, and security in a third-party environment. Therefore, this work uses the Access Control Enabled Blockchain (ACE-BC) framework to enhance overall data security in CIS. The ACE-BC framework uses attribute encryption techniques to manage data security, while the access control mechanism limits unauthorized user access. The effective utilization of blockchain techniques ensures overall data privacy and security. The efficiency of the introduced framework was evaluated using experimental results, and the experimental outcome indicated that the recommended ACE-BC framework enhanced the data confidentiality ratio (98.9%), the throughput ratio (98.2%), the efficiency ratio (97.4%), and the latency rate (10.9%) when compared to other popular models.

External fixation versus intramedullary nailing for the management of open tibial fracture: meta-analysis of randomized controlled trials.

AIM: Tibial shaft fractures are the most common type of long-bone fractures. External fixation (EF) and intramedullary nailing (IMN) are widely used surgical techniques for the definitive fixation of open tibial shaft fractures. The aim of this systematic review and meta-analysis was to compare EF to IMN for the definitive fixation of open tibial fractures. METHODS: Medline, Embase, and CENTRAL databases were searched for eligible studies. We included randomized controlled trials (RCTs) that compared EF to IMN for skeletally mature adults with open tibial fracture (Gustilo I, II, and III). We evaluated the following outcomes: superficial infection, pin-track infection, deep infection, malunion, nonunion, delayed union, and implant/hardware failure. The risk ratio (RR) was used to represent the desired outcomes. The statistical analysis was performed using the random-effects model. RESULTS: A total of 12 RCTs that enrolled 1090 participants were deemed eligible for the analysis. EF showed a significantly higher rate of superficial infection, pin track infection, and malunion compared to IMN (RR = 2.30, 95% confidence interval (CI): 1.34 to 3.95; RR = 13.52, 95% CI: 6.16 to 29.66; RR = 2.29, 95% CI 1.41 to 3.73, respectively). No substantial difference was found between EF and IMN in terms of deep infection, nonunion, delayed union, or implant/hardware failure (RR = 1.15, 95% CI 0.67 to 1.98; RR = 0.92, 95% CI 0.77 to 1.10; RR = 1.50, 95% CI 0.98 to 3.33; RR = 0.96, 95% CI 0.36 to 2.60, respectively). DISCUSSION: The findings of our meta-analysis are consistent with the previous systematic reviews excepts for the implant/hardware failure which was found to be significant in favour of IMN by one of the previous reviews. CONCLUSION: This meta-analysis confirms that IMN is better than EF with respect to clinical outcomes and complication rate for the definitive fixation of open tibial fracture.

Heterogeneous Ensemble Deep Learning Model for Enhanced Arabic Sentiment Analysis.

Sentiment analysis was nominated as a hot research topic a decade ago for its increasing importance in analyzing the people's opinions extracted from social media platforms. Although the Arabic language has a significant share of the content shared across social media platforms, its content's sentiment analysis is still limited due to its complex morphological structures and the varieties of dialects. Traditional machine learning and deep neural algorithms have been used in a variety of studies to predict sentiment analysis. Therefore, a need of changing current mechanisms is required to increase the accuracy of sentiment analysis prediction. This paper proposed an optimized heterogeneous stacking ensemble model for enhancing the performance of Arabic sentiment analysis. The proposed model combines three different of pre-trained Deep Learning (DL) models: Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU) in conjunction with three meta-learners Logistic Regression (LR), Random Forest (RF), and Support Vector Machine (SVM) in order to enhance model's performance for predicting Arabic sentiment analysis. The performance of the proposed model with RNN, LSTM, GRU, and the five regular ML techniques: Decision Tree (DT), LR, K-Nearest Neighbor (KNN), RF, and Naive Bayes (NB) are compared using three benchmarks Arabic dataset. Parameters of Machine Learning (ML) and DL are optimized using Grid search and KerasTuner, respectively. Accuracy, precision, recall, and f1-score were applied to evaluate the performance of the models and validate the results. The results show that the proposed ensemble model has achieved the best performance for each dataset compared with other models.

Integrated IoT-Based Secure and Efficient Key Management Framework Using Hashgraphs for Autonomous Vehicles to Ensure Road Safety.

Autonomous vehicles offer various advantages to both vehicle owners and automobile companies. However, despite the advantages, there are various risks associated with these vehicles. These vehicles interact with each other by forming a vehicular network, also known as VANET, in a centralized manner. This centralized network is vulnerable to cyber-attacks which can cause data loss, resulting in road accidents. Thus, to prevent the vehicular network from being attacked and to prevent the privacy of the data, key management is used. However, key management alone over a centralized network is not effective in ensuring data integrity in a vehicular network. To resolve this issue, various studies have introduced a blockchain-based approach and enabled key management over a decentralized network. This technique is also found effective in ensuring the privacy of all the stakeholders involved in a vehicular network. Furthermore, a blockchain-based key management system can also help in storing a large amount of data over a distributed network, which can encourage a faster exchange of information between vehicles in a network. However, there are certain limitations of blockchain technology that may affect the efficient working of autonomous vehicles. Most of the existing blockchain-based systems are implemented over Ethereum or Bitcoin. The transaction-processing capability of these blockchains is in the range of 5 to 20 transactions per second, whereas hashgraphs are capable of processing thousands of transactions per second as the data are processed exponentially. Furthermore, a hashgraph prevents the user from altering the order of the transactions being processed, and they do not need high computational powers to operate, which may help in reducing the overall cost of the system. Due to the advantages offered by a hashgraph, an advanced key management framework based on a hashgraph for secure communication between the vehicles is suggested in this paper. The framework is developed using the concept of Leaving of Vehicles based on a Logical Key Hierarchy (LKH) and Batch Rekeying. The system is tested and compared with other closely related systems on the basis of the transaction compilation time and change in traffic rates.

Visualization of Customized Convolutional Neural Network for Natural Language Recognition.

For analytical approach-based word recognition techniques, the task of segmenting the word into individual characters is a big challenge, specifically for cursive handwriting. For this, a holistic approach can be a better option, wherein the entire word is passed to an appropriate recognizer. Gurumukhi script is a complex script for which a holistic approach can be proposed for offline handwritten word recognition. In this paper, the authors propose a Convolutional Neural Network-based architecture for recognition of the Gurumukhi month names. The architecture is designed with five convolutional layers and three pooling layers. The authors also prepared a dataset of 24,000 images, each with a size of 50 × 50. The dataset was collected from 500 distinct writers of different age groups and professions. The proposed method achieved training and validation accuracies of about 97.03% and 99.50%, respectively for the proposed dataset.

AI-Driven Framework for Recognition of Guava Plant Diseases through Machine Learning from DSLR Camera Sensor Based High Resolution Imagery.

Plant diseases can cause a considerable reduction in the quality and number of agricultural products. Guava, well known to be the tropics' apple, is one significant fruit cultivated in tropical regions. It is attacked by 177 pathogens, including 167 fungal and others such as bacterial, algal, and nematodes. In addition, postharvest diseases may cause crucial production loss. Due to minor variations in various guava disease symptoms, an expert opinion is required for disease analysis. Improper diagnosis may cause economic losses to farmers' improper use of pesticides. Automatic detection of diseases in plants once they emerge on the plants' leaves and fruit is required to maintain high crop fields. In this paper, an artificial intelligence (AI) driven framework is presented to detect and classify the most common guava plant diseases. The proposed framework employs the ΔE color difference image segmentation to segregate the areas infected by the disease. Furthermore, color (RGB, HSV) histogram and textural (LBP) features are applied to extract rich, informative feature vectors. The combination of color and textural features are used to identify and attain similar outcomes compared to individual channels, while disease recognition is performed by employing advanced machine-learning classifiers (Fine KNN, Complex Tree, Boosted Tree, Bagged Tree, Cubic SVM). The proposed framework is evaluated on a high-resolution (18 MP) image dataset of guava leaves and fruit. The best recognition results were obtained by Bagged Tree classifier on a set of RGB, HSV, and LBP features (99% accuracy in recognizing four guava fruit diseases (Canker, Mummification, Dot, and Rust) against healthy fruit). The proposed framework may help the farmers to avoid possible production loss by taking early precautions.

Knowledge about COVID-19 and beliefs about and use of herbal products during the COVID-19 pandemic: A cross-sectional study in Saudi Arabia.

The lack of treatment options for COVID-19 has raised many concerns among populations worldwide, which has led to many attempts to find alternative options to prevent the transmission of the disease or to alleviate the progression of the infection, including focusing more on preventive measures (to prevent transmission to other individuals) and the use of natural products and herbal extracts to increase immunity and decrease the probability of getting infected. This study explored the knowledge of the population of the Kingdom of Saudi Arabia (KSA) about COVID-19 preventive measures and their belief about the consumption of herbal products for the prevention of COVID-19 infection. A total of 5,258 individuals participated in this study. Participants' knowledge about the appropriate COVID-19 preventive measures in terms of handwashing procedures, self-quarantine and social distancing was moderate, with a mean score of 5.5 (SD: 1.7) out of 10 (representing around 55.0% of the total score). About 22.1% (n = 1,161) of the participants reported that they have used herbal products or nutritional supplements during the pandemic period, to protect themselves from the disease. Social media and the Internet (39.4%, n = 372) were the main motivators for the participants to try herbal products. Vitamin C was the most commonly used food supplement to increase immunity and reduces the chance of contracting COVID-19. Our study demonstrated that the general population in Saudi Arabia has a moderate level of knowledge about COVID-19 transmission and preventive measures. A considerable proportion of the population reported the use of herbal products or food supplements in order to protect themselves from the disease. Policymakers are suggested to provide further educational campaigns that increase population knowledge about the disease transmission routes and preventive measures. In addition, the use of herbal products should be evidence-based to ensure patient safety.

Impact of supervised exercise training on pulmonary function parameters, exercise capacity and Irisin Biomarker in Interstitial lung disease patients.

OBJECTIVES: To assess the impact of supervised exercise training (SET) on pulmonary function Parameters, exercise capacity and Irisin biomarker in Interstitial Lung Disease (ILD) patients. METHODS: Ten (10)patients with ILD and 18 healthy controls of age between 30-40+ years were selected for 8-week SET program. Before and after SET all subjects performed exercise capacity six minutes' walk test (6MWT), heart rate (HR) changes were recorded, shortness of Breath Respiratory Questionnaire (SOBQ) was obtained and Irisin levels were measured by Enzyme-Linked Immunosorbent Assay (ELISA). This interventional study was carried out at Department of Physiology, Faculty of Medicine, King Khalid University Hospital, King Saud University, Riyadh, Saudi Arabia, from October 2018 to February 2019. RESULTS: Mean six minutes' walk distance (6MWD) was 395 ± 68.4 m at 1st visit increased significantly (p=0.001) to 458.8± 87.1 mat 15 visit. However, 6MWD values found significantly higher in controls (517.4±84.1 m; 561.7±81.6 m; p=0.013) than ILD patients. Overall change (difference between post and pre exercise) in HRvalue was recorded lower in ILD patients (30-35 bpm) as compared to controls (40-45 bpm). Moreover, ILD patients had overall higher SOBQ score than controls. Pre SET Irisin levels of ILD patients (4.24 ±1.73 pg/ml) and controls (3.43 ±1.04pg/ml) were found unchanged dafter SET (4.48±2.02pg/ml, 3.39 ±1.41pg/ml, p=0.677, p=0.093)respectively. However, patients Irisin values were found higher as compared to controls before and after SET. CONCLUSION: Exercise capacity and Dyspneain patients with ILD were improved after 8-week of SET program. No major changes in Irisin levels among patients with ILD and controls were observed. Additional research requires to be carried out on large number of subjects to deter Minutese the advantages of exercise in ILD.

DNA damage repair alterations are frequent in prostatic adenocarcinomas with focal pleomorphic giant-cell features.

AIMS: Prostatic adenocarcinomas with focal pleomorphic giant-cell features constitute a rare tumour subtype with abysmal clinical outcomes. More than one-third of patients with this histology die within a year of the initial diagnosis of prostate cancer. We aimed to perform molecular profiling of these tumors to identify potential therapeutic targets. METHODS AND RESULTS: Here, we performed next-generation sequencing with a highly validated targeted panel (UW-OncoPlex) on somatic tumour DNA extracted from eight cases of prostatic adenocarcinoma with focal pleomorphic giant-cell features, including cases with and without prior treatment for prostate cancer. We found that DNA damage repair mutations are common in this rare subset of prostate tumours, with two of eight having bi-allelic pathogenic mutations in homologous DNA repair genes (including BRCA2 and NBN) and two of eight having bi-allelic pathogenic mutations in mismatch repair genes (including MSH2 and MLH1). CONCLUSION: These data are consistent with emerging data showing that DNA repair alterations are enriched among castration-resistant prostate cancer and aggressive subsets of primary tumours. Given that these patients are potential candidates for poly(ADP-ribose) polymerase inhibitor and/or immune checkpoint blockade, and have a poor prognosis with standard therapy, we recommend that tumour and germline DNA sequencing with or without mismatch repair protein immunohistochemistry be considered for all prostatic adenocarcinomas with focal pleomorphic giant-cell features.

Exercise Ventilatory Inefficiency Adds to Lung Function in Predicting Mortality in COPD.

Severity of resting functional impairment only partially predicts the increased risk of death in chronic obstructive pulmonary disease (COPD). Increased ventilation during exercise is associated with markers of disease progression and poor prognosis, including emphysema extension and pulmonary vascular impairment. Whether excess exercise ventilation would add to resting lung function in predicting mortality in COPD, however, is currently unknown. After an incremental cardiopulmonary exercise test, 288 patients (forced expiratory volume in one second ranging from 18% to 148% predicted) were followed for a median (interquartile range) of 57 (47) months. Increases in the lowest (nadir) ventilation to CO2 output (VCO2) ratio determined excess exercise ventilation. Seventy-seven patients (26.7%) died during follow-up: 30/77 (38.9%) deaths were due to respiratory causes. Deceased patients were older, leaner, had a greater co-morbidity burden (Charlson Index) and reported more daily life dyspnea. Moreover, they had poorer lung function and exercise tolerance (p < 0.05). A logistic regression analysis revealed that ventilation/VCO2 nadir was the only exercise variable that added to age, body mass index, Charlson Index and resting inspiratory capacity (IC)/total lung capacity (TLC) ratio to predict all-cause and respiratory mortality (p < 0.001). Kaplan-Meier analyses showed that survival time was particularly reduced when ventilation/VCO2 nadir > 34 was associated with IC/TLC ≤ 0.34 or IC/TLC ≤ 0.31 for all-cause and respiratory mortality, respectively (p < 0.001). Excess exercise ventilation is an independent prognostic marker across the spectrum of COPD severity. Physiological abnormalities beyond traditional airway dysfunction and lung mechanics are relevant in determining the course of the disease.

Difficulties Faced by Undergraduates While Conducting Endodontic Therapy.

BACKGROUND: Dentistry is a complex field that utilizes both theoretical and practical knowledge along with a distinct coordination of the hand, brain, and eye of an individual, forming a major part of endodontic therapy. Assessing the understanding and practical knowledge of undergraduates from time to time is essential in evaluating the success of the undergraduate education system. Therefore, the purpose of this study was to evaluate the challenges that are associated with endodontic therapy and are faced by undergraduate students at College of Dentistry, Qassim University.  Methodology: Ninety-seven undergraduates who had completed their preclinical training and had done endodontic treatments were included in this questionnaire-based study. The Chi square test and Fisher's exact test have been used to determine whether or not there is a significant difference on a categorical scale between two or more groups of study parameters. RESULTS: According to our results, de-roofing of the pulp chamber and recognizing the canal orifices are the two areas that need more consideration. The gender-wise difference in the challenges faced by the students while performing the majority of steps during endodontic treatment was found to be insignificant. However, a significant difference was noted in relation to the complete deroofing of the pulp chamber (p-value=0.04) and locating the canal orifices (p-value=0.04). Moreover, fifth year students rarely faced difficulties in performing anesthesia and rubber dam placement, whereas fourth year students faced difficulties in both procedures. CONCLUSION: The study concludes that de-roofing the pulp chamber and identifying the orifices of canals are two areas where more attention should be given while training undergraduate dental students.

Assessing Medical Emergency E-referral Request Acceptance Patterns and Trends: A Comprehensive Analysis of Secondary Data From the Kingdom of Saudi Arabia.

Introduction Patient transfers in emergencies have been linked to reduced mortality rates and enhanced quality of care. The Saudi Medical Appointments and Referrals Centre (SMARC), an e-referral system in the Kingdom of Saudi Arabia (KSA) since 2019, plays a crucial role in ensuring quality and continuity of care. The findings of this study can provide valuable insights into the effectiveness of the e-referral system and identify potential areas for improvement in the management of emergency cases. Objective This study aims to examine e-referral patterns for emergency medical cases throughout all 13 administrative regions of KSA. Concurrently, it estimates the acceptance rate of medical emergency referrals and investigates associated factors among KSA hospitals. Methods This retrospective study utilized secondary data from the SMARC e-referral system, specifically focusing on medical emergency e-referral requests in the entire KSA during 2021. Descriptive univariate analyses were conducted to characterize the referral requests, followed by bivariate analyses to explore associations between factors and referral acceptance. Adjusted multiple logistic regression analyses were then performed to calculate adjusted odds ratios (ORs) and corresponding 95% confidence intervals, controlling for potential confounding variables. Results A total of 29,660 medical emergency referral requests were initiated across all regions of KSA during the study time frame, and, of these, 20,523 (69.19%) were accepted. The average age of patients with a medical emergency referral was 52 years old, and referral requests were higher among Saudis (13,781; 54.18%), males (13,781; 54.18%), and those from the Western region (10,560; 35.60%). Nearly 20,854 (70%) were due to the unavailability of specialized doctors or specialties in facilities. Based on multi-logistic regression, referral request acceptance was high in some factors as follows: compared to the Central region, requests from the Northern, Southern, Eastern, and Western regions had higher acceptance rates at 123%, 64%, 54%, and 46%, respectively. In addition, referral requests that were due to the unavailability of a specialized doctor or medical equipment had higher acceptance rates (19% and 16%), respectively, than those due to the unavailability of a specific specialty. Conclusion This study provides valuable insights into regional variations, sociodemographic factors, and referral reasons within the medical emergency e-referral system in the KSA. By estimating the acceptance rate of medical emergency referrals and investigating associated factors, this analysis confirms the effectiveness of the e-referral system in facilitating access to quality care, particularly for marginalized patients. The study highlights the need for health policy improvements to ensure equitable resource allocation and reduce disparities in healthcare access.