Cytoreductive surgery plus chemotherapy versus chemotherapy alone for recurrent epithelial ovarian cancer.

OBJECTIVES: This is a protocol for a Cochrane Review (intervention). The objectives are as follows: To evaluate the benefits and harms of secondary CRS and chemotherapy in comparison to chemotherapy alone for women with platinum-sensitive recurrent epithelial ovarian cancer.

Prospective Validation of a Prediction Model for the Diagnosis of Acute Pancreatitis.

Importance: While most patients with acute pancreatitis (AP) fulfill diagnostic criteria with characteristic abdominal pain and serum lipase levels of at least 3 times the upper limit of normal (reference range) at presentation, early imaging is often used for confirmation. A prior prediction model and corresponding point-based score were developed using nonimaging parameters to diagnose AP in patients presenting to the emergency department (ED). Objective: To evaluate the performance of the prediction model to diagnose AP in a prospective patient cohort. Design, Setting, and Participants: This prospective diagnostic study included consecutive adult patients presenting to the ED between January 1, 2020, and March 9, 2021, at 2 large academic medical centers in the northeastern US with serum lipase levels at least 3 times the upper limit of normal. Patients transferred from outside institutions or with malignant disease and established intra-abdominal metastases, acute trauma, or altered mentation were excluded. Data were analyzed from October 15 to October 23, 2023. Exposures: Participants were assigned scores for initial serum lipase level, number of prior AP episodes, prior cholelithiasis, abdominal surgery within 2 months, presence of epigastric pain, pain of worsening severity, duration from pain onset to presentation, and pain level at ED presentation. Main Outcome and Measures: A final diagnosis of AP, established by expert review of hospitalization records. Results: Prospective scores in 349 participants (mean [SD] age, 53.0 [18.8] years; 184 women [52.7%]; 66 Black [18.9%]; 199 White [57.0%]) demonstrated an area under the receiver operating characteristics curve of 0.91. A score of at least 6 points achieved highest accuracy (F score, 82.0), corresponding to a sensitivity of 81.5%, specificity of 85.9%, positive predictive value of 82.6%, and negative predictive value of 85.1% for AP diagnosis. Early computed tomography or magnetic resonance imaging was performed more often in participants predicted to have AP (116 of 155 [74.8%] with a score ≥6 vs 111 of 194 [57.2%] with a score <6; P < .001). Early imaging revealed an alternative diagnosis in 8 of 116 participants (6.9%) with scores of at least 6 points, 1 of 93 (1.1%) with scores of at least 7 points, and 1 of 73 (1.4%) with scores of at least 8 points. Conclusions and Relevance: In this multicenter diagnostic study, the prediction model demonstrated excellent AP diagnostic accuracy. Its application may be used to avoid unnecessary confirmatory imaging.

Integrating and Adopting AI in the Radiology Workflow: A Primer for Standards and Integrating the Healthcare Enterprise (IHE) Profiles.

The deployment of artificial intelligence (AI) solutions in radiology practice creates new demands on existing imaging workflow. Accommodating custom integrations creates a substantial operational and maintenance burden. These custom integrations also increase the likelihood of unanticipated problems. Standards-based interoperability facilitates AI integration with systems from different vendors into a single environment by enabling seamless exchange between information systems in the radiology workflow. Integrating the Healthcare Enterprise (IHE) is an initiative to improve how computer systems share information across health care domains, including radiology. IHE integrates existing standards-such as Digital Imaging and Communications in Medicine, Health Level Seven, and health care lexicons and ontologies (ie, LOINC, RadLex, SNOMED Clinical Terms)-by mapping data elements from one standard to another. IHE Radiology manages profiles (standards-based implementation guides) for departmental workflow and information sharing across care sites, including profiles for scaling AI processing traffic and integrating AI results. This review focuses on the need for standards-based interoperability to scale AI integration in radiology, including a brief review of recent IHE profiles that provide a framework for AI integration. This review also discusses challenges and additional considerations for AI integration, including technical, clinical, and policy perspectives.

Hedgehog signaling mastery: R51211's promise in augmenting the therapeutic efficacy of sorafenib.

Sorafenib is a multikinase inhibitor employed for managing hepatocellular carcinoma (HCC). The emergence of sorafenib resistance presents an obstacle to its therapeutic efficacy. One notable approach to overcoming sorafenib resistance is the exploration of combination therapies. The role of hedgehog signaling in sorafenib resistance has been also examined in HCC. R51211, known as itraconazole, has been safely employed in clinical practice. Through in vitro and in vivo investigations, we assessed the potential of R51211 to enhance the therapeutic efficacy of sorafenib by inhibiting the hedgehog signaling. The zero-interaction potency synergy model demonstrated a synergistic interaction between R51211 and sorafenib, a phenomenon reversed by the action of a smoothened receptor agonist. This dual therapy exhibited an increased capacity to induce apoptosis, as evidenced by alterations in the Bax/BCL-2 ratio and caspase-3, along with a propensity to promote autophagy, as indicated by changes in BECN1, p62, and the LC3I/LC3II ratio. Furthermore, the combination therapy resulted in significant reductions in biomarkers associated with liver preneoplastic alterations, improved liver microstructure, and mitigated changes in liver function enzymes. The substantial decrease in hedgehog components (Shh, SMO, GLI1, and GLI2) following R51211 treatment appears to be a key factor contributing to the increased efficacy of sorafenib. In conclusion, our study highlights the potential of R51211 as an adjunct to sorafenib, introducing a new dimension to this combination therapy through the modulation of the hedgehog signaling pathway. Further investigations are essential to validate the therapeutic efficacy of this combined approach in inhibiting the development of liver cancer.

Advances in Inflammatory Bowel Disease Diagnostics: Machine Learning and Genomic Profiling Reveal Key Biomarkers for Early Detection.

This study, utilizing high-throughput technologies and Machine Learning (ML), has identified gene biomarkers and molecular signatures in Inflammatory Bowel Disease (IBD). We could identify significant upregulated or downregulated genes in IBD patients by comparing gene expression levels in colonic specimens from 172 IBD patients and 22 healthy individuals using the GSE75214 microarray dataset. Our ML techniques and feature selection methods revealed six Differentially Expressed Gene (DEG) biomarkers (VWF, IL1RL1, DENND2B, MMP14, NAAA, and PANK1) with strong diagnostic potential for IBD. The Random Forest (RF) model demonstrated exceptional performance, with accuracy, F1-score, and AUC values exceeding 0.98. Our findings were rigorously validated with independent datasets (GSE36807 and GSE10616), further bolstering their credibility and showing favorable performance metrics (accuracy: 0.841, F1-score: 0.734, AUC: 0.887). Our functional annotation and pathway enrichment analysis provided insights into crucial pathways associated with these dysregulated genes. DENND2B and PANK1 were identified as novel IBD biomarkers, advancing our understanding of the disease. The validation in independent cohorts enhances the reliability of these findings and underscores their potential for early detection and personalized treatment of IBD. Further exploration of these genes is necessary to fully comprehend their roles in IBD pathogenesis and develop improved diagnostic tools and therapies. This study significantly contributes to IBD research with valuable insights, potentially greatly enhancing patient care.

Developmental pyrethroid exposure in mouse leads to disrupted brain metabolism in adulthood.

Environmental and genetic risk factors, and their interactions, contribute significantly to the etiology of neurodevelopmental disorders (NDDs). Recent epidemiology studies have implicated pyrethroid pesticides as an environmental risk factor for autism and developmental delay. Our previous research showed that low-dose developmental exposure to the pyrethroid pesticide deltamethrin in mice caused male-biased changes in the brain and in NDD-relevant behaviors in adulthood. Here, we used a metabolomics approach to determine the broadest possible set of metabolic changes in the adult male mouse brain caused by low-dose pyrethroid exposure during development. Using a litter-based design, we exposed mouse dams during pregnancy and lactation to deltamethrin (3 mg/kg or vehicle every 3 days) at a concentration well below the EPA-determined benchmark dose used for regulatory guidance. We raised male offspring to adulthood and collected whole brain samples for untargeted high-resolution metabolomics analysis. Developmentally exposed mice had disruptions in 116 metabolites which clustered into pathways for folate biosynthesis, retinol metabolism, and tryptophan metabolism. As a cross-validation, we integrated metabolomics and transcriptomics data from the same samples, which confirmed previous findings of altered dopamine signaling. These results suggest that pyrethroid exposure during development leads to disruptions in metabolism in the adult brain, which may inform both prevention and therapeutic strategies.

DNMT inhibitor, 5-aza-2'-deoxycytidine mitigates di(2-ethylhexyl) phthalate-induced aggravation of psoriasiform inflammation in mice via reduction in global DNA methylation in dermal and peripheral compartments.

Psoriasis is classified as an autoimmune disorder characterized by abnormal immune response leading to the development of chronic dermal inflammation. Most individuals have a genetic vulnerability that may be further influenced by epigenetic changes occurring due to multiple variables such as pollutant exposure. Epigenetic modifications such as DNA methylation possess a dynamic nature, enabling cellular differentiation and adaptation by controlling gene expression. Di(2-ethylhexyl) phthalate (DEHP) and psoriatic inflammation are known to cause modification of DNA methylation via DNA methyltransferase (DNMT). However, it is not known whether DEHP, a ubiquitous plasticizer affects psoriatic inflammation via DNMT modulation. Therefore, this study investigated the effect of DNMT inhibitor, 5-aza-2'-deoxycytidine (AZA) on DEHP-induced changes in the expression of DNMT1, global DNA methylation, and anti-/inflammatory parameters (p-STAT3, IL-17A, IL-6, iNOS, IL-10, Foxp3, Nrf2, HO-1) in the skin and the peripheral adaptive/ myeloid immune cells (CD4+ T cells/CD11b+ cells) in imiquimod (IMQ) model of psoriasiform inflammation. Further, psoriasis-associated clinical/histopathological features (ear thickness, ear weight, ear PASI score, MPO activity, and H&E staining of the ear and the back skin) were also analyzed in IMQ model. Our data show that IMQ-treated mice with DEHP exposure had increased DNMT1 expression and DNA methylation which was associated with elevated inflammatory (p-STAT3, IL-17A, IL-6, iNOS) and downregulated anti-inflammatory mediators (IL-10, Foxp3, Nrf2, HO-1) in the peripheral immune cells (CD4+ T cells/CD11b+ cells) and the skin as compared to IMQ-treated mice. Treatment with DNMT1 inhibitor caused reduction in inflammatory and elevation in anti-inflammatory parameters with significant improvement in clinical/histopathological symptoms in both IMQ-treated and DEHP-exposed IMQ-treated mice. In conclusion, our study shows strong evidence indicating that DNMT1 plays an important role in DEHP-induced exacerbation of psoriasiform inflammation in mice through hypermethylation of DNA.

Knowledge, Attitude, and Practice of Organ Donation Among the Population of Al-Majma'ah Region, Saudi Arabia.

BACKGROUND: Organ donation plays a pivotal role in addressing the global demand for transplantable organs and saving lives. The success of organ transplantation relies not only on medical advancements but also on the willingness of communities to participate in organ donation programs. In Saudi Arabia, specifically within the Al-Majma'ah region, understanding the dynamics of knowledge, attitudes, and practices related to organ donation is crucial for promoting a sustainable and ethical organ donation system. METHODS: A cross-sectional, retrospective study was utilized in this research, employing data from a sample of 564 participants from the general population of the Al-Majma'ah region, Saudi Arabia. The participants completed a self-administered questionnaire and ensured anonymity. RESULTS: About 545 (96.6%) respondents were familiar with the concept of organ donation, and 455 (80.7%) participants recognized the necessity for the blood groups of the donor and recipient to match before the transplant process. About 412 (73.0%) participants agreed with the practice of organ donation with 326 (57.8%) expressing support for the practice. About 417 (73.9%) participants reported that their religion permits or endorses organ donation/transplantation. A total of 151 individuals (26.8%) had a low knowledge level, with total scores below 50% (6 or lower). In contrast, 280 people (4.7%) demonstrated a moderate level of knowledge (scoring between 50% and 75%) (7 to 9). Additionally, 133 individuals (23.5%) showcased a high level of knowledge, with scores exceeding 75% (10 or higher). The study established a statistically significant association between age, marital status with p-values < 0.05 (0.001*), and the knowledge score toward organ donation. However, gender and monthly household income were not significantly associated with knowledge score toward organ transplant with p-values (p-value > 0.05). CONCLUSION: The research findings indicated a moderate level of knowledge and a positive attitude toward organ donation among the general population of the Al-Majma'ah region in Saudi Arabia. Age and marital status were found to be significantly associated with the knowledge score toward organ donation. The study noted the desire and willingness to save lives through organ donation by the residents of the Al-Majma'ah region in Saudi Arabia.

Efficacy, reactogenicity, and safety of the adjuvanted recombinant zoster vaccine for the prevention of herpes zoster in Chinese adults ≥ 50 years: A randomized, placebo-controlled trial.

Phase III multi-country studies (ZOE-50/70) demonstrated that the adjuvanted recombinant zoster vaccine (RZV) was well tolerated and prevented herpes zoster (HZ) in healthy ≥ 50-year-olds, with a vaccine efficacy (VE) > 90% across age groups. These pivotal trials did not enroll participants from mainland China where RZV is licensed, therefore similar clinical data are missing for this population. In this phase IV observer-blind study (NCT04869982) conducted between 2021 and 2023 in China, immunocompetent and medically stable ≥ 50-year-olds were randomized 1:1 to receive two RZV or placebo doses, 2 months apart. This study assessed the VE (overall, as confirmatory objective, and descriptively by age category [50-69-year-olds/≥ 70-year-olds]), reactogenicity, and safety of RZV in this Chinese population. Of the 6138 enrolled participants, 99.2% completed the study. During a mean follow-up period of 15.2 (±1.1) months, 31 HZ episodes were confirmed (RZV = 0; placebo = 31) for an incidence rate of 0.0 vs 8.2 per 1000 person-years and an overall VE of 100% (89.82-100). The descriptive VE was 100% (85.29-100) for 50-69-year-olds and 100% (60.90-100) for ≥ 70-year-olds. Solicited adverse events (AEs) were more frequent in the RZV vs the placebo group (median duration: 1-3 days for both groups). Pain and fatigue were the most frequent local and general AEs (RZV: 72.1% and 43.4%; placebo: 9.2% and 5.3%). The frequencies of unsolicited AEs, serious AEs, potential immune-mediated diseases, and deaths were similar between both groups. RZV is well tolerated and efficacious in preventing HZ in Chinese ≥ 50-year-olds, consistent with efficacy studies including worldwide populations with similar age and medical characteristics.

What is the context? Herpes zoster, commonly known as shingles, is a painful rash resulting from the reactivation of the dormant virus causing chickenpox.Vaccines preventing shingles, such as Shingrix, were shown to be well tolerated and efficacious in healthy adults over 50 years of age from Europe, North and Latin America, Australia, and Asia (Taiwan, Hong Kong, Korea, Japan).However, data on real-world protective effect of Shingrix are limited in some regions where the vaccine is licensed for use, such as mainland China.What is new? We analyzed data from Chinese adults aged 50 years or older to determine the efficacy and safety of Shingrix.Around 6000 participants were divided in two equal groups to receive two doses of Shingrix or two doses of a placebo, given 2 months apart.We found that, during the study period, the vaccine was 100% efficacious in preventing shingles.We showed that the vaccine had an acceptable safety profile in this Chinese population.What is the impact? Shingrix is efficacious and well tolerated in Chinese adults over 50 years of age, as it is in similarly aged populations from other evaluated regions.

Vascular service provision during the COVID-19 pandemic worsened major amputation rates in socially deprived diabetic populations.

Introduction: The Coronavirus Disease - 2019 (COVID-19) pandemic significantly impacted healthcare service provision and put diabetic patients at increased risk of adverse health outcomes. We aimed to assess the impact of the COVID-19 pandemic on the incidence and demographic shift of major lower-limb amputation in diabetic patients. Methods: We performed a retrospective analysis of diabetic patient records undergoing major lower-limb amputation between 01/03/2019 and 01/03/2021 at the Royal Sussex County Hospital, the regional arterial hub for Sussex. Primary outcomes were amputation incidence rates and patient demographics compared between the prepandemic and pandemic cohorts. Results: The incidence rate ratio of major lower-limb amputations shows a drop in amputations during the pandemic compared to pre-pandemic (IRR 0.82; 95% CI 0.57-1.18). Data suggests a shift in the social deprivation background of patients receiving amputations to disproportionately affect those in the more deprived 50% of the population (p=0.038). Younger patients received more amputations during the pandemic compared to prepandemic levels (p=0.001). Conclusion: Results suggest that during the COVID-19 pandemic there was a paradoxical reduction in amputations compared to prepandemic levels. However, changes to the demographic makeup of patient's receiving amputations are alarming as younger, and more deprived patients have been disproportionately affected by the pandemic.

Boosting cuckoo optimization algorithm via Gaussian mixture model for optimal power flow problem in a hybrid power system with solar and wind renewable energies.

This paper presents a novel approach, the Gaussian Mixture Method-enhanced Cuckoo Optimization Algorithm (GMMCOA), designed to optimize power flow decision parameters, with a specific focus on minimizing fuel cost, emissions, network loss, and voltage deviation. GMMCOA integrates the strengths of COA and GMM while mitigating their individual limitations. While COA offers robust search capabilities, it suffers from initial parameter dependency and the risk of getting trapped in local optima. Conversely, GMM delivers high-speed performance but requires guidance to identify the best solution. By combining these methods, GMMCOA achieves an intelligent approach characterized by reduced parameter dependence and enhanced convergence speed. The effectiveness of GMMCOA is demonstrated through extensive testing on both the IEEE 30-bus and the large-scale 118-bus test systems. Notably, for the 118-bus test system, GMMCOA achieved a minimum cost of $129,534.7529 per hour and $103,382.9225 per hour in cases with and without the consideration of renewable energies, respectively, surpassing outcomes produced by alternative algorithms. Furthermore, the proposed method is benchmarked against the CEC 2017 test functions. Comparative analysis with state-of-the-art algorithms, under consistent conditions, highlights the superior performance of GMMCOA across various optimization functions. Remarkably, GMMCOA consistently outperforms its competitors, as evidenced by simulation results and Friedman examination outcomes. With its remarkable performance across diverse functions, GMMCOA emerges as the preferred choice for solving optimization problems, emphasizing its potential for real-world applications.

Frankincense: A neuronutrient to approach Parkinson's disease treatment.

Parkinson's disease (PD), characterized by tremor, slowness of movement, stiffness, and poor balance, is due to a significant loss of dopaminergic neurons in the substantia nigra pars compacta and dopaminergic nerve terminals in the striatum with deficit of dopamine. To date the mechanisms sustaining PD pathogenesis are under investigation; however, a solid body of experimental evidence involves neuroinflammation, mitochondrial dysfunction, oxidative stress, and apoptotic cell death as the crucial factors operating in the pathogenesis of PD. Nutrition is known to modulate neuroinflammatory processes implicated in the pathogenesis and progression of this neurodegenerative disorder. Consistent with this notion, the Burseraceae family, which includes the genera Boswellia and Commiphora, are attracting emerging interest in the treatment of a wide range of pathological conditions, including neuroinflammation and cognitive decline. Bioactive components present in these species have been shown to improve cognitive function and to protect neurons from degeneration in in vitro, animal, as well as clinical research. These effects are mediated through the anti-inflammatory, antiamyloidogenic, anti-apoptotic, and antioxidative properties of bioactive components. Although many studies have exploited possible therapeutic approaches, data from human studies are lacking and their neuroprotective potential makes them a promising option for preventing and treating major neurodegenerative disorders.

Aflatoxins in Peanut (Arachis hypogaea): Prevalence, Global Health Concern, and Management from an Innovative Nanotechnology Approach: A Mechanistic Repertoire and Future Direction.

Arachis hypogaea is the most significant oilseed nutritious legume crop in agricultural trade across the world. It is recognized as a valued crop for its contributions to nourishing food, as a cooking oil, and for meeting the protein needs of people who are unable to afford animal protein. Currently, its production, marketability, and consumption are hindered because of Aspergillus species infection that consequently contaminates the kernels with aflatoxins. Regarding health concerns, humans and animals are affected by acute and chronic aflatoxin toxicity and millions of people are at high risk of chronic levels. Most methods used to store peanuts are traditional and serve effectively for short-term storage. Now the question for long-term storage has been raised, and this promptly finds potential approaches to the issue. It is imperative to reduce the aflatoxin levels in peanuts to a permissible level by introducing detoxifying innovations. Most of the detoxification reports mention physical, chemical, and biological techniques. However, many current approaches are impractical because of time consumption, loss of nutritional quality, or weak detoxifying efficiency. Therefore, it is crucial to investigate practical, economical, and green methods to control Aspergillus flavus that address current global food security problems. Herein, a green and economically revolutionary way is a nanotechnology that has demonstrated its potential to connect farmers to markets, elevate international marketability, improve human and animal health conditions, and enhance food quality and safety by the management of fungal diseases. Due to the antimicrobial potential of nanoparticles, they act as nanofungicides and have an incredible role in the control of aflatoxins. Nanoparticles have ultrasmall sizes and therefore penetrate the fungal body and invade the pathogen machinery, leading to fungal cell death by ROS production, mutation in DNA, disruption of organelles, and membrane leakage. This is the first mechanistic overview that unveils a comprehensive insight into aflatoxin contamination in peanuts, its prevalence, health effects, and management in addition to nanotechnological interventions that serve as a triple defense approach to detoxify aflatoxins. The optimum use of nanofungicides ensures food safety and the development of goals, especially "zero hunger".

Pregnancy and birth complications and long-term maternal mental health outcomes: A systematic review and meta-analysis.

BACKGROUND: Few studies have examined the associations between pregnancy and birth complications and long-term (>12 months) maternal mental health outcomes. OBJECTIVES: To review the published literature on pregnancy and birth complications and long-term maternal mental health outcomes. SEARCH STRATEGY: Systematic search of Cumulative Index to Nursing and Allied Health Literature (CINAHL), Excerpta Medica Database (Embase), PsycInfo®, PubMed® and Web of Science from inception until August 2022. SELECTION CRITERIA: Three reviewers independently reviewed titles, abstracts and full texts. DATA COLLECTION AND ANALYSIS: Two reviewers independently extracted data and appraised study quality. Random-effects meta-analyses were used to calculate pooled estimates. The Meta-analyses of Observational Studies in Epidemiology (MOOSE) guidelines were followed. The protocol was prospectively registered on the International Prospective Register of Systematic Reviews (PROSPERO: CRD42022359017). MAIN RESULTS: Of the 16 310 articles identified, 33 studies were included (3 973 631 participants). Termination of pregnancy was associated with depression (pooled adjusted odds ratio, aOR 1.49, 95% CI 1.20-1.83) and anxiety disorder (pooled aOR 1.43, 95% CI 1.20-1.71). Miscarriage was associated with depression (pooled aOR 1.97, 95% CI 1.38-2.82) and anxiety disorder (pooled aOR 1.24, 95% CI 1.11-1.39). Sensitivity analyses excluding early pregnancy loss and termination reported similar results. Preterm birth was associated with depression (pooled aOR 1.37, 95% CI 1.32-1.42), anxiety disorder (pooled aOR 0.97, 95% CI 0.41-2.27) and post-traumatic stress disorder (PTSD) (pooled aOR 1.75, 95% CI 0.52-5.89). Caesarean section was not significantly associated with PTSD (pooled aOR 2.51, 95% CI 0.75-8.37). There were few studies on other mental disorders and therefore it was not possible to perform meta-analyses. CONCLUSIONS: Exposure to complications during pregnancy and birth increases the odds of long-term depression, anxiety disorder and PTSD.

Normal sonographic measurements for kidney dimensions in Saudi adult population: A cross-sectional prospective study.

BACKGROUND: The use of ultrasound-based measurements to determine renal size has proven valuable in the diagnosis of renal function and associated disorders. The dimensions of the abdominal organs are affected by an individual's body age, height, sex, and weight. The objective of this study was to establish the standard sonographic parameters for renal dimensions and to determine the correlation between body measurements and renal dimensions in a population of healthy adults residing in Jazan City, Saudi Arabia. METHODS: The present study was a prospective study conducted at a single center located in Jazan City from February to August 2022. Ninety-five participants underwent abdominal ultrasonography. The process of measuring renal size through sonography entails the measurement of various dimensions of the kidney, such as renal length, width, and thickness. The demographic information of the participants, including their sex, age, height, and weight, was documented. All analyses were performed using Statistical Package for the Social Sciences v27 software. RESULTS: The dimensions of the right kidney, specifically the length, width, and thickness, had mean value of 9.79 centimeters (cm), 5.09 cm, and 4.10 cm, respectively. The left kidney had mean dimensions of 10.1 cm, 5.09 cm, and 4.10 cm for length, width, and thickness, respectively. The left kidney was larger than the right kidney. Furthermore, male participants exhibited larger kidney measurements than their female counterparts did. A noteworthy positive correlation was observed between the thickness of the left kidney and sex, whereas no significant correlations were found with age, weight, or height. CONCLUSION: The current study revealed that the kidney dimensions were observed to be larger in males as compared to females. The research findings indicate that there is no significant correlation between kidney dimensions and various demographic factors, such as age, height, weight, and sex. In addition, this study provides reference tables for further use.

A Pharmacy-Based Cross-Sectional Study to Assess the Antibiotic Prescription Pattern by Medical and Dental Practitioners in Saudi Arabia.

Introduction: The misuse and overuse of antibiotics in dental practice are well known and have become widespread worldwide. Its potential effect and high risk of serious reaction have emphasized the need to reduce and limit the precipitation. In this study we aimed to identify the prevalence, type, dose, and duration of antibiotics prescribed by general medical and dental practitioners in Saudi Arabia. Materials and Methods: This cross-sectional study was performed from April 2020 to December 2020. A total of 45,100 antibiotic prescriptions were collected from different governmental and private pharmacies and screened to be included in this study. Data extraction from all prescriptions followed a standardized form that included the following information: Doctor specialty, type of antibiotic, duration, and dose of antibiotic. Results: A total of 38,175 antibiotic prescriptions prescribed by licensed doctors practicing in governmental or private hospitals were included in this study. Thirty-five thousand one hundred and seventy-eight (92%) outpatient antibiotics were prescribed by medical practitioners, and 2997 (8%) antibiotics were prescribed by dentists. The most commonly prescribed antibiotic was Augmentin (60%), followed by metronidazole and amoxicillin (35%). The most common dose and duration prescribed by dentists for Augmentin was 625 mg, 3 times per day for 5 days, whereas that of metronidazole was 500 mg, 3 times per day for 7 days. Prescribed dose and duration of amoxicillin was 500 mg, 3 times per day for 7 days. Conclusions: This study helps in understanding healthcare practitioners' patterns and adds to the knowledge on how to deal with odontogenic infections. Further national studies are recommended to include more regions in Saudi Arabia and to illustrate the misuse of outpatient antibiotics.

Standardizing imaging findings representation: harnessing Common Data Elements semantics and Fast Healthcare Interoperability Resources structures.

OBJECTIVES: Designing a framework representing radiology results in a standards-based data structure using joint Radiological Society of North America/American College of Radiology Common Data Elements (CDEs) as the semantic labels on standard structures. This allows radiologist-created report data to integrate with artificial intelligence-generated results for use throughout downstream systems. MATERIALS AND METHODS: We developed a framework modeling radiology findings as Health Level 7 (HL7) Fast Healthcare Interoperability Resources (FHIR) observations using CDE set/element identifiers as standardized semantic labels. This framework deploys CDE identifiers to specify radiology findings and attributes, providing consistent labels for radiology report concepts-diagnoses, recommendations, tabular/quantitative data-with built-in integration with RadLex, SNOMED CT, LOINC, and other ontologies. Observation structures fit within larger HL7 FHIR DiagnosticReport resources, providing output including both nuanced text and structured data. RESULTS: Labeling radiology findings as discrete data for interchange between systems requires two components: structure and semantics. CDE definitions provide semantic identifiers for findings and their component values. The FHIR observation resource specifies a structure for associating identifiers with radiology findings in the context of reports, with CDE-encoded observations referring to definitions for CDE identifiers in a central repository. The discussion includes an example of encoding pulmonary nodules on a chest CT as CDE-labeled observations, demonstrating the application of this framework to exchange findings throughout the imaging workflow, making imaging data available to downstream clinical systems. DISCUSSION: CDE-labeled observations establish a lingua franca for encoding, exchanging, and consuming radiology data at the level of individual findings, facilitating use throughout healthcare systems. IMPORTANCE: CDE-labeled FHIR observation objects can increase the value of radiology results by facilitating their use throughout patient care.