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Purpose of the study:  To evaluate the performance of Best Practice Recommendation (BPR) compliance in reporting abdominal aortic aneurysm findings on imaging, comparing the results before and after its deployment.Methods: Best Practice Recommendations for AAA were deployed in 2020 at a large radiology practice site. Reports between January 2018 through October 2022 were reviewed, representing studies read prior to and subsequent to the implementation of the reporting standards. Cases of abdominal aortic aneurysms ≥ 2.6 cm were counted by year. Adherence to the BPR for each year was calculated as [total number of confirmed cases of ≥ 2.6 cm AAAs with compliant reports] * 100 / [the total number of confirmed ≥ 2.6 cm AAAs]. A secondary analysis was performed to determine whether there was a statistically significant difference in the proportion of BPR-compliant reports for AAA cases before (from 2018 to 2019) and after (from 2020 to 2022) BPR deployment using a chi-square test. Results: From January 2018 to December 2022, there were 8,693 reports referencing AAA. After excluding cases of suspected AAA (N = 2,131), confirmed AAAs with indeterminate sizes (N = 103), and confirmed AAAs with sizes < 2.6 cm (N = 85), the number of AAA cases ≥ 2.6 cm in size was 6,374. Concordance with the BPR standards for the remaining cases with sizes ≥ 2.6 cm were 1.6% and 4.1% in 2018 and 2019, respectively. Post-implementation of BPRs, there was a substantial improvement in guideline adherence to 32.1%, 84.3%, and 83.6% in 2020, 2021, and 2022, respectively. In general, the proportion of BPR-compliant reports of AAA cases in the pre-deployment (3.6%) period statistically differs (p - value < 0.0001) from those in the post-deployment period (73.9%)Conclusion: Adherence to reporting standards increased after the BPR deployment in 2020. The inclusion of management recommendations in the radiology report when AAA is identified is a simple and cost-effective way of improving outcomes for patients with AAAs through appropriate follow-up treatment.

Urinary Tract Infections (UTIs) are common opportunistic diseases, primarily caused by Escherichia coli, which utilizes various virulence factors, including the hlyA gene encoding hemolysin. Phenolic compounds in fruits and vegetables, known for their antimicrobial properties, were examined for their effects on E. coli. This study involved 60 E. coli isolates from Aleppo University Hospital, identified via biochemical and molecular tests. The hemolytic ability was assessed phenotypically, and the hlyA gene was detected using PCR. The impact of pyrogallol and catechol on these isolates was also evaluated. Results showed a 54.6% isolation rate of E. coli, with a higher rate in females (71.7%) than males (28.3%). The 20-40 age group was most affected, comprising 38.4% of cases. Hemolytic activity was observed in 45% of isolates, and the hlyA gene was present in 41.6% of cases. Pyrogallol exhibited a bactericidal effect at high concentrations and mild growth at lower levels, while catechol showed no antibacterial effects. These experimental investigations were validated by docking those polyphenols to the hlyA predicted, validated 3D structure where pyrogallol exhibited stronger binding affinity than catechol (-5.2 vs. -4.8 kcal/mol). The study underscores the significance of the hlyA gene in E. coli virulence and highlights the potential antibacterial properties of phenolic compounds at specific concentrations.

Background: Absence of nocturnal decrease in Blood Pressure (BP) (“non-dipping”) has been shown to be a strong and independent predictor of cardiovascular events, target organ damage, cardiovascular sequela and cardiovascular mortality. Obstructive Sleep Apnea (OSA) has been associated with non-dipping with an estimated prevalence of approximately 50%, but factors associated with non-dipping in OSA patients remain poorly understood. In this study, we examined clinically relevant variables associated with non-dipping in OSA.Methods: Patients (n = 35) undergoing overnight valuation for OSA, laboratory-based polysomnography, structured clinical interviews, and comprehensive metabolic and anthropometric evaluations, and ambulatory BP monitoring for 24 hours. Patients were classified into a) dipping BP group or b) non-dipping BP group, based on (a) a nocturnal systolic BP decrease of 10% - 20% or (b) a systolic BP decrease of < 10%. Results: Patients had moderate and severe OSA (AHI = 34.8 ± 29.1), and 42.9% demonstrated a non-dipping BP pattern. The severity of OSA measures did not differ between dipping group and non-dipping group. However, Wake after Sleep Onset (WASO) and chronicity of insomnia predicts non-dipping BP independent of demographics, sleep stages, anthropometrics, metabolic measures, or arterial stiffness. Conclusion: These findings contribute to a better understanding of the cardiovascular impacts of OSA and indicate that sleep quality should be incorporated into clinical assessments and management of OSA patients.

This study explores the dynamics of social exclusion in healthcare settings within the rural Ganderbal district of Kashmir, focusing on the availability of health facilities and the health-seeking behaviors of socially disadvantaged populations. Through a mixed-methods approach, combining quantitative data from interviews and qualitative insights from observation, the research reveals significant disparities in healthcare access between rural and urban areas. Key findings indicate that rural residents face exclusion due to a scarcity of hospitals, unavailability of 24-hour medical staff, inadequate infrastructure, staffing shortages, and systemic biases, compounded by environmental and occupational challenges. Communicable diseases predominate, with majority of respondents affected, and traditional healers and medical shops serve as primary care sources over formal institutions like government hospitals. Socio-economic factors, including low literacy, reliance on agriculture, and poverty, exacerbate these issues. The study highlights higher infant mortality and malnutrition rates in rural areas compared to urban centers, underscoring the need for attitudinal shifts among healthcare providers and systemic improvements in infrastructure and policy to enhance health equity. By addressing an underexplored gap in rural health research in India, this work aims to inform strategies for inclusive healthcare delivery, potentially yielding broader societal benefits through improved well-being and demographic dividends.

Water deficit is a fundamental factor in public health and economic growth. Water supply and population growth are directly linked to water demand. The physio-chemistry and microbiology analysis of water is utmost significance in dietary requirements. Drinking water has the main concern especially it affects food security. This study includes a number of representative sites where 24 water samples (from wells, reservoirs and tap water) were analysed. These sites are located in the western villages of Baalbeck, the main city of the Bekaa Plain in Lebanon where the analysed water is used mainly for domestic needs and for irrigation. This study  investigates the physiochemical and microbiological properties. Among the selected sites, Hawsh Barada site shows a strong contamination by nitrate. At the Nabi Rashaded (tap), Beit Shema and Bednayel (borehole and tap), contamination above the norm by zinc ion was noted. From a microbiological point of view, Hawsh barada, Nabi-Rashadeh, Hawsh-bay, and Beit shema are markedly polluted and do not meet the standard for drinking water. Hence, water quality in Hawsh barada, Nabi-Rashadeh, Hawsh-bay, Beit shema and Bednayel are not suitable for drinking, and this must be informed to decision makers who can act implementing environmental controls for health protection in the studied region.

Inclusively new to econophysics studies, herewith proposed technoeconophysics as part of techno-economy, econophysics & sociophysics to interpret the description between probability and hypothesis found between fractal realms and econophysics of markets, physics markets, or stock markets any chaotic evidence [exergy destructive] could present if effective & efficient criterion doesn’t comply. A more precise iterative study ought to be held to configure how fractal dimension is involved in the techno-econophysics study of the Helium Nat Gas Project which is not integer, but also proofed numerically & analytically.

A 24-year-old male presented with epistaxis and gingival bleeding, physical examination revealed pallor and purpuric spots on the left upper limb. Laboratory findings showed pancytopenia. As part of the etiological workup for pancytopenia, a bone marrow aspirate was performed, revealing moderately cellular marrow with rare megakaryocytes and intranuclear inclusions in proerythroblasts. Parvovirus B19 testing in the bone marrow was conducted via nucleic acid extraction followed by PCR.

Phyllanthus amarus Schum. and Thonn., a plant of substantial medicinal significance, is known for its usage in the ‘Ayurvedic’ system of medicine for over 2000 years. This herb grows throughout the world including India. P. amarus along with other species of its genus has been a vital part of several herbal formulations available in the Indian market under the trade name Bhuiamlaki. Several pharmacognostic evaluations over the years established the genus Phyllanthus of great commercial value. Ethnopharmacological studies conducted with P. amarus to date have shown its diverse therapeutic usage globally. This owes to the vast array of secondary metabolites present in the herb, substantially in the leaf tissue. Different analytical and phytochemistry studies performed across the globe revealed that P. amarus is a hub of various classes of secondary metabolites viz. lignans like phyllanthin, hypophyllanthin, flavonoids, alkaloids, triterpenes, sterols, volatile oil, ellagitannins including simple and complex tannins, etc. Different analytical techniques have been employed over the past years for isolating and studying these varied secondary metabolites. Further, bioactivities and pharmacological properties of P. amarus that were mainly due to the presence of these wide arrays of secondary metabolites have also been explored extensively across the globe by several research groups. This plant has also been explored at molecular and transcriptome level, although relatively lesser but its extensive molecular and transcriptome analysis have only been performed from our lab. Thus, P. amarus has considerable potential to be explored in the future as a significant therapeutic source not only in the traditional medicinal system but also in the modern pharmaceutical industry.

Pancreatic duct stones (PDS) are a common complication of chronic pancreatitis (CP). PDS can lead to duct obstruction and cause chronic abdominal pain. Ductal stone clearance, as well as short and long-term pain relief, is the cornerstone of endoscopic or surgical treatment. A step-up approach seems reasonable in pancreatic duct stone clearance. Extracorporeal shock wave lithotripsy (ESWL) combined with standard endoscopic retrograde cholangiopancreatography (ERCP) is as effective as a surgical approach for treating painful CP with less morbidity and medical costs. Therefore, endotherapy is considered a first-line therapy in selected patients. In case of insufficient pancreatic ductal clearance or strictures, advanced endoscopic techniques, per-oral pancreatoscopy (POP) with intraductal lithotripsy and/or endoscopic ultrasound-guided ductal drainage (EUS-PDD), will expand the role of the endoscopic approach. Because these new techniques are challenging, technically complex, and with high adverse events (AEs), they should be reserved for advanced tertiary care centers. Although there is increasing data that early surgical intervention may lead to better pain control and pancreatic duct stone clearance, surgery is reserved for patients failing endotherapy or patients with suspected malignancy.

Background: Acute Respiratory Distress Syndrome (ARDS) is a clinically, radiologically, and biologically heterogeneous condition. This variability contributes to diagnostic challenges and inconsistent responses to therapy. Identifying homogeneous subgroups or phenotypes within ARDS may enhance precision medicine and therapeutic targeting.Objective: This review evaluates the utility of decision tree–based supervised machine learning (ML) algorithms—specifically CART, Random Forest, and AdaBoost—in phenotyping ARDS using clinical, radiological, and biological data.Methods: A comprehensive literature search was conducted between December 2023 and March 2024 using PubMed and Google Scholar. Search terms included ‘decision tree in ARDS’, ‘phenotype in ARDS’, and ‘ML in hypo- and hyperinflammatory ARDS’. Twenty-six relevant articles were included, comprising original studies and reviews.Results: Decision tree–based models have demonstrated significant potential in classifying ARDS subtypes using routine clinical variables, radiographic features, and biomarker profiles. These algorithms have shown strong predictive performance in differentiating inflammatory phenotypes, forecasting mortality, and enabling early ARDS prediction.Conclusion: Decision tree algorithms offer a promising approach to ARDS phenotyping by leveraging routinely available data. Their interpretability and predictive accuracy may aid in translating complex biological insights into bedside clinical decision-making, advancing personalized care in critical illness.