Assessment of Albumin Usage Patterns and Appropriateness in a Comprehensive Cancer Centre: A retrospective study in Jordan.

Objectives: Albumin is commonly used for various indications; however, there is conflicting data regarding its appropriate use in different clinical cases. This study aimed to determine the pattern and appropriateness of albumin use among cancer patients at the King Hussein Cancer Center in Jordan. Methods: A retrospective analysis was conducted on adult cancer patients who were prescribed albumin between January 2019 and July 2020 in both outpatient and inpatient settings. Data collected included demographics, prescribing services, indications and dosing regimens. A literature review was performed using PubMed to assess the appropriateness of albumin indications and dosing regimens against current guidelines, drug information resources and the package insert. Results: Albumin was prescribed to 1,361 patients during the study period. Each patient received an average of 74.4 ± 89 g of albumin for an average of 2.6 ± 1.8 days. Albumin use was deemed appropriate in 69% of the patients. The critical care service accounted for the highest albumin consumption, with 37% of prescriptions for septic shock. Inappropriate use of albumin was most prevalent in the medical solid tumour services (40.8% of prescriptions), primarily for edema (28%). Conclusion: To the best of the author's knowledge, this study is the first to evaluate albumin use in a large cohort of oncology patients. Approximately one-third of the albumin prescriptions were considered inappropriate. Continuous education on appropriate usage and regular evaluations of guideline adherence are essential to ensure proper utilisation of albumin in cancer care.

Signal-On Detection of Dopamine and Tyrosinase Using Tris(hydroxypropyl)phosphine as a New Lucigenin Chemiluminescence Coreactant.

Dopamine (DA) is a very imperative neurotransmitter in our body, since it contributes to several physiological processes in our body, for example, memory, feeling, cognition, cardiovascular diseases, and hormone secretion. Meanwhile, tyrosinase is a critical biomarker for several dangerous skin diseases, including vitiligo and melanoma cancer. Most of the reported chemiluminescent (CL) methods for monitoring DA and tyrosinase are signal-off biosensors. Herein, we introduce a new chemiluminescent "signal-on" system, lucigenin-tris(hydroxypropyl)phosphine (THPP), for the selective determination of DA and tyrosinase. THPP is well known as a versatile and highly water-soluble sulfhydryl-reducing compound that is more highly stable against air oxidation than common disulfide reductants. By employing THPP for the first time as an efficient lucigenin coreactant, the lucigenin-THPP system has shown a high CL response (approximately 16-fold) compared to the lucigenin-H2O2 classical CL system. Surprisingly, DA can remarkably boost the CL intensity of the lucigenin-THPP CL system. Additionally, tyrosinase can efficiently catalyze the conversion of tyramine to DA. Therefore, lucigenin-THPP was employed as an ultrasensitive and selective signal-on CL system for the quantification of DA, tyrosinase, and THPP. The linear ranges for the quantification of DA, tyrosinase, and THPP were 50-1000 nM, 0.2-50 µg/mL, and 0.1-800 µM, respectively. LODs for DA and tyrosinase were estimated to be 24 nM and 0.18 µg/mL, respectively. Additionally, the CL system has been successfully employed for the detection of tyrosinase in human serum samples and the assay of DA in human serum samples as well as in dopamine injection ampules with excellent obtained recoveries.

Ant-waist surgery adversely affects lung function: a cross-sectional study.

BACKGROUND: Body contouring surgery for the removal of the 11th and 12th ribs is undertaken for aesthetic appeal in female and transgender populations. The potential adverse effects of the surgery on lung function and respiratory muscle strength have not been previously studied. Therefore, this study aimed to determine the effects of 'Ant-waist' surgery on lung function and respiratory muscle strength in individuals who had undergone surgery. METHODS: This was a cross-sectional study with two groups, an Anti-waist group who had undergone surgery and an age and gender matched control group. Participants performed lung function tests to determine measurements of FEV1, FVC, FEV1/FVC, PEF, MIP, and MEP. Independent t-tests were performed to determine between-group differences in outcomes and Pearson's correlation coefficients determined the relationship between lung function and respiratory muscle strength, and number of years since surgery. RESULTS: There was a significant between-group difference in FEV1 (-0.83; 95%CI -1.30, -0.36; p<0.001), FEV1%pred. (-34.91; 95%CI -48.92, -20.90; p<0.001), FVC%pred. (-22.73; 95%CI -32.84, -12.62; p<0.001), PEF%pred. (-44.18; 95%CI -61.52, -26.84; p<0.001) and MEP (-68.27; -102.48, -34.07; p<0.001). There were significantly large, negative correlations (r>0.5) between the number of years after surgery and FEV1 (p=0.002), FEV1%pred. (p=0.0001); and PEF%pred. (p=0.032). CONCLUSIONS: This study has identified that aesthetic surgery for the removal of ribs 11 and 12 had a significant adverse effect on lung function and respiratory muscle strength in Jordanian females. The potential adverse effects should be carefully explained by surgeons to patients considering the surgery.

Evaluation of the national AIDS program and HIV/AIDS surveillance system in Jordan.

Introduction: The National AIDS Program in Jordan has faced numerous challenges, including insufficient funding, limited resources, and complexities brought on by refugee influxes. The absence of a reliable HIV/AIDS surveillance system further complicates tracking and responding to the epidemic. This study aimed to evaluate the performance and functionality of the National AIDS Program and the HIV/AIDS surveillance system. Methods: A qualitative study was conducted to evaluate the National AIDS Program and the HIV/AIDS Surveillance System in Jordan. The study involved 14 key informants specialized in HIV/AIDS Surveillance Systems. Interviews were guided by an interview guide based on the Updated Centers for Disease Control and Prevention Guidelines for Evaluating Public Health Surveillance Systems. Data analysis was performed through directed content analysis. Results: The Voluntary Counseling and Testing Center in Jordan confronts multiple challenges, including poor infrastructure, limited accessibility, and inadequate facilities. Additionally, there is a lack of effective coordination between the Voluntary Counseling and Testing center and the Chest Diseases and Migrant Health Directorate, particularly regarding testing for Tuberculosis. HIV screening in Jordan is hindered by various factors, including disease sensitivity. Voluntary Counseling and Testing lacks HIV/AIDS specialists AND staff adequate training and fails to adhere to updated treatment guidelines. Persistent deficiencies in human resources, equipment, and training continue to plague the HIV/AIDS Surveillance System. Key informants expressed dissatisfaction with the data's usefulness, citing concerns over poor data quality. The data were seldom used for prioritizing resources, identifying at-risk individuals, assessing HIV/AIDS risk factors, or evaluating prevention and control measures. Conclusion: The National AIDS Program and HIV/AIDS Surveillance System activities in Jordan are unstructured, poorly coordinated, and inefficient. Many gaps related to National AIDS Program and HIV/AIDS Surveillance System performance and data were identified. Recommendations include developing an electronic surveillance system for data collection, notification, and reporting, and building the capacities of HIV/AIDS healthcare providers in screening, diagnosis, and management.

Classification of tomato leaf images for detection of plant disease using conformable polynomials image features.

Plant diseases can spread rapidly, leading to significant crop losses if not detected early. By accurately identifying diseased plants, farmers can target treatment only to the affected areas, reducing the number of pesticides or fungicides needed and minimizing environmental impact. Tomatoes are among the most significant and extensively consumed crops worldwide. The main factor affecting crop yield quantity and quality is leaf disease. Various diseases can affect tomato production, impacting both yield and quality. Automated classification of leaf images allows for the early identification of diseased plants, enabling prompt intervention and control measures. Many creative approaches to diagnosing and categorizing specific illnesses have been widely employed. The manual method is costly and labor-intensive. Without the assistance of an agricultural specialist, disease detection can be facilitated by image processing combined with machine learning algorithms. In this study, the diseases in tomato leaves will be detected using new feature extraction method using conformable polynomials image features for accurate solution and faster detection of plant diseases through a machine learning model. The methodology of this study based on:•Preprocessing, feature extraction, dimension reduction and classification modules.•Conformable polynomials method is used to extract the texture features which is passed classifier.•The proposed texture feature is constructed by two parts the enhanced based term, and the texture detail part for textual analysis.•The tomato leaf samples from the plant village image dataset were used to gather the data for this model. The disease detected are 98.80 % accurate for tomato leaf images using SVM classifier. In addition to lowering financial loss, the suggested feature extraction method can help manage plant diseases effectively, improving crop yield and food security.

Evaluation of metronidazole oral monotherapy in anaerobic oral infections.

OBJECTIVES: To evaluate the indications and dosing regimens for oral metronidazole monotherapy (OMM) for the management of oral anaerobic infections (OAIs) other than periodontitis. MATERIALS AND METHODS: The study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines in literature of PubMed/Medline, Scopus, and Cochrane databases. Data were retrieved from reports published in English in the period January 1, 1980 - August 30, 2023. Joanna Briggs Institute Critical Appraisal Tools were used to assess study risk of bias. RESULTS: A total of 228 articles were retrieved from the databases of which 16 met the inclusion criteria necessary for achieving the aims of the study. OAIs in which OMM was used or recommended included pericoronitis; necrotizing ulcerative gingivitis/periodontitis/stomatitis, osteomyelitis, acute periapical infection, and cellulitis. OMM was prescribed in dosages ranging from 200 to 500 mg t.i.d. for periods ranging from 2 to 7 days. Osteomyelitis of the jaw was the only infection for which the dosage regimen of metronidazole was not clearly described. CONCLUSION: Evidence from the databases searched support the view that OMM has clinical efficacy in the treatment of specific OAIs namely pericoronitis and necrotizing oral infections in immune-competent and immune-compromised patients. The evidence does not support the use of OMM in "deep tissue" infections such as osteomyelitis, and odontogenic infections such as acute apical infection and cellulitis. Clinical trials are warranted to determine the efficacy of OMM in comparison with other antibiotic regimens.

Metal-Organic Framework-Derived High-Entropy Oxides as Coreaction Accelerators for an Efficient Luminol/Dissolved Oxygen Electrochemiluminescence System for Ultrasensitive Mercury Detection.

The development of luminol-dissolved O2 (luminol-DO) electrochemiluminescence (ECL) systems is crucial for real-world applications. Despite its stability and low biotoxicity, luminol-DO ECL systems struggle with low ECL performance due to their low reactivity. Investigating new materials like coreactant accelerators increases reactive oxygen species (ROS) formation and enhances luminol-DO ECL intensity. Motivated by the ROS-mediated ECL process, for the first time, we designed oxygen vacancy (OV)-rich high-entropy oxides (HEO) with five metal components [(FeCoNiCuZn)O] derived from metal-organic frameworks (MOFs) as coreaction accelerators to establish efficient luminol-DO ECL systems. High entropy (HE) MOFs were annealed at four different temperatures (600, 700, 800, and 900 °C). Indeed, the HE MOFs annealed at 800 °C (HEO-800) showed a 120-fold stronger ECL intensity compared to the bare glassy carbon electrode in the luminol-DO ECL system. The enhanced ECL performance can be attributed to the porous structure, unique morphology, heterostructures, high-density active sites, rich OV, unsaturated metals, and synergistic impact, which act as catalysts to accelerate the conversion of DO to ROS. The developed HEO-800-based luminol-DO ECL system can be effectively used for the high-sensitivity detection of mercury ions (Hg2+). The system detected Hg2+ over a wide concentration range from 0.1 nM to 100 µM, with a detection limit of 0.02 nM. The sensing mechanism relied on high-affinity metallophilic Hg2+-HEO-800 interactions, effectively quenching the ECL intensity of the luminol-DO/HEO-800 ECL system. The ECL sensing platform, developed without H2O2, offers a novel method for detecting substances, demonstrating significant potential for clinical diagnosis and biomarker analysis.

Prevalence and Predictors of Leg Cramps in the Third Trimester of Pregnancy: A Cross-Sectional Study.

Objective: This study aimed to estimate the prevalence and determine predictors of leg cramps among pregnant women in their third trimester. Methods: A sample of pregnant women in their third trimester who routinely visited local clinics in Jordan was recruited. Participants completed a socio-demographic and clinical characteristics questionnaire, the numeric pain rating scale (NPRS) for leg cramp pain intensity, the Arabic version of the Pregnant Physical Activity Questionnaire (PPAQ), the Nordic Musculoskeletal Questionnaire (NMQ), Short Form Health Survey (SF-12), Pittsburgh Sleep Quality Index (PSQI), and Hospital Anxiety and Depression Scale (HADS). In addition, magnesium (Mg) and calcium (Ca) serum levels were examined. Logistic regression analyses were used to identify predictors of leg cramps occurrence. A linear regression model was used to investigate predictors of leg cramps pain intensity among pregnant women who reported leg cramps. Results: Two hundred and five (n=205) pregnant women completed the study. The estimated prevalence of leg cramps was 58%. Logistic regression results showed that not receiving assistance with housework (OR 0.46, p=0.025), progress in the number of gestational weeks (OR 1.10, p=0.021), the number of previous pregnancies (OR 1.21, p=0.049), having leg swelling (OR 2.28, p=0.019), and having gastrointestinal (GIT) problems (OR 2.12, P=0.046) were associated with a higher odds of leg cramps occurrence. In the subsample with pregnant women with leg cramps, linear regression results showed that pregnant women with high school education versus elementary school (ß=0.70, p=0.012), number of working hours (ß=0.11, p=0.010), using vitamins supplements (ß=-1.70, p=0.043), having diabetes after pregnancy (ß=1.05, p=0.036), having sciatica (ß=0.58, p=0.028), having hip pain (ß =-.33, p=0.029), and higher PSQI total score (ß=0.09, p=0.020) were the significant predictors of leg cramp pain intensity. Conclusion: Many health-related conditions, as well as work and home-related work characteristics, may be considered risk factors for the occurrence of leg cramps and increased leg cramps pain intensity in pregnancy.

Opioid prescription following radical orchiectomy associated with new persistent opioid use.

INTRODUCTION: Opioid dependence represents a public health crisis and can be observed after outpatient urologic procedures. The purpose of this study was to evaluate the risk of persistent opioid usage after radical orchiectomy for testicular cancer. MATERIALS AND METHODS: The TriNetX Research network database was queried for men between 15 and 45 years undergoing radical orchiectomy for a diagnosis of testicular cancer. All patients with N+ or M+ disease, prior opioid use, and patients who underwent chemotherapy, radiotherapy, or retroperitoneal lymph node dissection were excluded. Patients were stratified whether they were prescribed opioids or not at time of orchiectomy. The incidence of new, persistent opioid use, defined as a prescription for opioids between 3 and 15 months after orchiectomy, was evaluated. RESULTS: A total of 2,911 men underwent radical orchiectomy for testicular cancer, of which 89.8% were prescribed opioids at time of orchiectomy. After propensity score matching for age, race, and history of psychiatric diagnosis, 592 patients were included (296 received opioids, 296 did not). Overall, 0% of patients who did not receive postoperative opioids developed new persistent opioid use, whereas 10.5% of patients who received postoperative opioids developed new persistent opioid use. Patients prescribed postoperative opioids for orchiectomy had statistically higher risk difference of developing new persistent opioid use (Risk Difference: 10.5%; 95% CI: 7.0-14.0; Z: 5.7; P < 0.01). CONCLUSIONS: Postoperative opioid prescription following radical orchiectomy is significantly associated with developing new persistent opioid use, with 1 in 10 young men who received postoperative opioids obtaining a new prescription for opioids well beyond the postoperative period. Future efforts should emphasize nonopioid pathways for pain control following this generally minor procedure.

Glutathione and Xanthine Metabolic Changes in Tamoxifen Resistant Breast Cancer Cell Lines are Mediated by Down-Regulation of GSS and XDH and Correlated to Poor Prognosis.

Background: Tamoxifen is commonly used in the treatment of hormonal-positive breast cancer. However, 30%-40% of tumors treated with tamoxifen develop resistance; therefore, an important step to overcome this resistance is to understand the underlying molecular and metabolic mechanisms. In the present work, we used metabolic profiling to determine potential biomarkers of tamoxifen resistance, and gene expression levels of enzymes important to these metabolites and then correlated the expression to the survival of patients receiving tamoxifen. Methods: Tamoxifen-resistant cell lines previously developed and characterized in our laboratory were metabolically profiled with nuclear magnetic resonance spectroscopy (NMR) using cryogenic probe, and the findings were correlated with the expression of genes that encode the key enzymes of the significant metabolites. Moreover, the effect of significantly altered genes on the overall survival of patients was assessed using the Kaplan-Meier plotter web tool. Results: We observed a significant increase in the levels of glutamine, taurine, glutathione, and xanthine, and a significant decrease in the branched-chain amino acids, valine, and isoleucine, as well as glutamate and cysteine in the tamoxifen-resistant cells compared to tamoxifen sensitive cells. Moreover, xanthine dehydrogenase and glutathione synthase gene expression were downregulated, whereas glucose-6-phosphate dehydrogenase was upregulated compared to control. Additionally, increased expression of xanthine dehydrogenase was associated with a better outcome for breast cancer patients. Conclusion: Overall, this study sheds light on metabolic pathways that are dysregulated in tamoxifen-resistant cell lines and the potential role of each of these pathways in the development of resistance.

Prevalence and Predictors of Intestinal Parasitic Infections at King Abdulaziz University Hospital, Jeddah, Saudi Arabia, from 2019 to 2023: A Retrospective Study.

Purpose: Parasitic infections are a primary cause of illness worldwide and a public health problem. This study highlighted the prevalence of intestinal parasitic (IP) infections and their updated epidemiologic status from 2019 to 2023 at King Abdulaziz University Hospital, Jeddah, Saudi Arabia. Patients and Methods: A retrospective study was conducted from 2019 to 2023 at King Abdulaziz University Hospital. The laboratory results, socio-demographic information, and the year of data collection were collected from the hospital's parasitology laboratory. The data were analyzed using SPSS version 26. Ethical approval was obtained from the National Committee of Bioethics (NCBE) - King Abdul Aziz City for Science and Technology, with an approval number of 258-22. Results: During the study period, 7673 stool samples were requested for intestinal parasite examination. The prevalence of IP infection from 2019 to 2023 was 212/7673, with a percentage of 2.8%. Infected patients had a mean (SD) age of 37.68 (17.27) years. Most infected patients were females (61%) and from Saudi Arabia (37.1%). Most stool samples were brown (79.1%), and about half were soft (51.7%). 2019 had the highest number of infected cases (28.3%), while the number of cases decreased in 2023 (8.8%), the lowest during five years. The most predominant parasite among study subjects was Blastocystis hominis (48.11%). Conclusion: The prevalence of IP infection is lower than in previous comparable surveys. Maintaining personal hygiene, conducting epidemiological surveillance, and enhancing environmental sanitation can prevent and control infections.

MARVEL analysis of high-resolution rovibrational spectra of 16O12C18O.

Empirical rovibrational energy levels are presented for the third most abundant, asymmetric carbon dioxide isotopologue, 16O12C18O, based on a compiled dataset of experimental rovibrational transitions collected from the literature. The 52 literature sources utilized provide 19,438 measured lines with unique assignments in the wavenumber range of 2-12,676 cm-1. The MARVEL (Measured Active Rotational-Vibrational Energy Levels) protocol, which is built upon the theory of spectroscopic networks, validates the great majority of these transitions and outputs 8786 empirical rovibrational energy levels with an uncertainty estimation based on the experimental uncertainties of the transitions. Issues found in the literature data, such as misassignment of quantum numbers, typographical errors, and misidentifications, are fixed before including them in the final MARVEL dataset and analysis. Comparison of the empirical energy-level data of this study with those in the line lists CDSD-2019 and Ames-2021 shows good overall agreement, significantly better for CDSD-2019; some issues raised by these comparisons are discussed.

Wavelet Transform, Reconstructed Phase Space, and Deep Learning Neural Networks for EEG-Based Schizophrenia Detection.

This study proposes an innovative expert system that uses exclusively EEG signals to diagnose schizophrenia in its early stages. For diagnosing psychiatric/neurological disorders, electroencephalogram (EEG) testing is considered a financially viable, safe, and reliable alternative. Using the reconstructed phase space (RPS) and the continuous wavelet transform, the researchers maximized the differences between the EEG nonstationary signals of normal and schizophrenia individuals, which cannot be observed in the time, frequency, or time-frequency domains. This reveals significant information, highlighting more distinguishable features. Then, a deep learning network was trained to enhance the accuracy of the resulting image classification. The algorithm's efficacy was confirmed through three distinct methods: employing 70% of the dataset for training, 15% for validation, and the remaining 15% for testing. This was followed by a 5-fold cross-validation technique and a leave-one-out classification approach. Each method was iterated 100 times to ascertain the algorithm's robustness. The performance metrics derived from these tests - accuracy, precision, sensitivity, F1 score, Matthews correlation coefficient, and Kappa - indicated remarkable outcomes. The algorithm demonstrated steady performance across all evaluation strategies, underscoring its relevance and reliability. The outcomes validate the system's accuracy, precision, sensitivity, and robustness by showcasing its capability to autonomously differentiate individuals diagnosed with schizophrenia from those in a state of normal health.

Level of Adherence to Glaucoma Medication and Its Associated Factors Among Adult Jordanian Patients.

BACKGROUND: Glaucoma is considered the second most common cause of blindness in patients above the age of 50. Lack of adherence to glaucoma medications frequently results in undesirable complications, specifically blindness and disability. PURPOSE: The study's objectives are to evaluate the level of adherence to glaucoma topical medications and factors associated with adherence to glaucoma medications. PATIENTS AND METHODS: In total, 348 patients, of whom 48.6% were above the age of 65, were recruited. A cross-sectional study from August 2018 to March 2020 was conducted on glaucoma patients who were referred to the Department of Ophthalmology in Royal Medical Services in Amman, Jordan. A questionnaire was employed to collect patients' demographic data, level of adherence, and factors associated with medication adherence. The inclusion criteria include the following: age above 20 years, diagnosis of glaucoma, currently under medical treatment, and willingness to participate in the study. Exclusion criteria include the following: patients who were hospitalized for glaucoma treatment, patients who had unstable medical conditions, and any patients for whom ophthalmologists had determined that they should be excluded for any other reasons. RESULTS: Almost half (47.1%) of the patients adhered to their personal glaucoma medications, and the most frequent cause of nonadherence was forgetfulness (39.9%), whereas the least common was stopping the drug after feeling better (7.0%). CONCLUSION: Proper patient education and explanation of the seriousness of medication adherence and its association with treatment outcomes, along with assisting old and disabled patients when applying ophthalmic medications, may positively improve the adherence of patients to glaucoma and other related visual impairment medications.

The Application of Robotics in Cardiac Rehabilitation: A Systematic Review.

Background and Objectives: Robotics is commonly used in the rehabilitation of neuro-musculoskeletal injuries and diseases. While in these conditions, robotics has clear benefits, it is unknown whether robotics will also enhance the outcome of cardiac rehabilitation. This systematic review evaluates the use of robotics in cardiac rehabilitation. Methods: A systematic literature search was conducted using PubMed (MEDLINE), CINAHL, AMED, SPORTDiscus, and the Physiotherapy Evidence Database. Longitudinal interventional studies were included if they met specified criteria. Two reviewers independently conducted title, abstract, and full-text screening and data extraction. The quality assessment and risk of bias were conducted according to the PEDRO scale and Cochrane Risk of Bias tool 2, respectively. Results: Four trials were included in this review out of 60 screened studies. The quality of the included studies was good with a low risk of bias. The trials used different robotic systems: Lokomat® system, Motomed Letto/Thera Trainer tigo, BEAR, and Myosuit. It was found that interventions that included the use of robotic assistance technologies improved the exercise capacity, VO2 max/peak, left ventricular ejection fraction, QOL, and physical functioning in people with cardiac diseases. Conclusions: Robotic assistance technologies can be used in cardiac rehabilitation programs. Further studies are needed to confirm the results and determine whether the use of robotics enhances intervention outcomes above standard interventions.

Is Bigger Better? Comparison of 150 µm and 200 µm Thulium Fiber for In Situ Lower-Pole Lithotripsy.

Introduction: The thulium fiber laser (TFL) generates a focused beam, which can be transmitted to laser fibers with small core diameters and may facilitate in situ lower-pole lithotripsy. This study compares lithotripsy performance of the 150 and 200 µm TFL in a lower pole benchtop kidney model. Materials and Methods: Using a 3D model printed from an actual kidney, in situ laser lithotripsy was performed on 1 cm lower-pole BegoStones (calcium oxalate monohydrate consistency) using four different settings (all 20W) and two fiber sizes (150 and 200 µm). Procedure time, laser time, total pulse energy, and fiber stripping were compared between the two fibers using an ANOVA or independent t-test. Results: The 150 µm fiber at 0.2 J × 100 Hz had the shortest lasing and procedure time (17.3 and 18.5 minutes) and lowest total pulse energy (20.75 kJ) compared with other study arms (p < 0.001). Overall procedure time, lasing time, and total pulse energy were significantly different between the 8 settings (p < 0.001 for all). At higher frequency (100 and 200 Hz), lasing time was significantly faster compared with 20 and 50 Hz (19.9 vs 27.3 minutes; p < 0.001). Furthermore, the average total procedure time was shorter with 150 µm compared with 200 µm regardless of settings (23.2 vs 29.8 minutes; p < 0.001). Conclusion: The 150 µm fiber results in shorter procedure and lasing time at lower total energy levels during lower-pole in situ lithotripsy. Overall, the fastest setting was 0.2 J and 100 Hz with the 150 µm fiber. Smaller laser fibers can potentially allow more efficient in situ laser lithotripsy with better irrigation and visibility at higher deflection angles.

Navigating Road Traffic Accidents in Jordan: A Retrospective Exploration of the Health and Economic Impacts.

Background Road traffic accidents (RTAs) are considered a major public health threat. The causes of RTAs are multifactorial, comprising both human and non-human factors. RTAs may result not only in detrimental health consequences but also in serious economic burdens. This study aimed to provide a retrospective overview of the health and economic impacts of RTAs in Jordan during the period 2013-2021, including the implemented multisectoral mitigation strategies. Methodology This study presents a retrospective chart review of the traffic reports published by the Public Security Directorate (PSD) in Jordan during the period 2013-2021. The examined variables were the total number of road accidents involving human injuries per year, average road accidents per day, annual deaths, average deaths per day, deaths per 100,000 population, annual number of injuries, average number of injuries per day, severity of human injury, number of registered vehicles, and the annual financial costs. Data were extracted from PSD reports and presented descriptively. Results The number of registered vehicles has risen from 1,263,754 in 2013 to 1,795,215 in 2021 with a 42.1% increase. This was also associated with an increase in the average RTAs per day from 28.0 in 2013 to 30.8 in 2021. The total number of RTAs that involved human injuries during the period 2013-2021 fluctuated with 8,451 in 2020 (lowest) and 11,241 in 2021 (highest). In the same period, annual deaths caused by RTAs peaked in 2013 with 768 deaths (highest) compared to 461 in 2020 (lowest). In the five years from 2017 to 2021, the total financial cost of RTAs in Jordan was nearly 1.561 billion Jordanian Dinars (~2.2 billion U.S. dollars) compared to 1.363 billion Jordanian Dinars (~1.92 billion U.S. dollars) in the five years from 2012 to 2016. Conclusions Targeting human and road infrastructure factors through effective government-society partnerships is crucial in mitigating the health and economic burden of RTAs in Jordan. More strict enforcement of traffic laws, along with incremental increases in the penalties for dangerous traffic violations, and regular road safety campaigns are expected to provide more control over the human factors of RTAs. Further research is needed to evaluate the impact of the recently amended traffic law on the trends of RTAs in the country.

The Effects of Digital Health Interventions for Pulmonary Rehabilitation in People with COPD: A Systematic Review of Randomized Controlled Trials.

Background and Objectives: Chronic Obstructive Pulmonary Disease (COPD) is the third most common cause of death globally. Pulmonary rehabilitation (PR) programmes are important to reduce COPD symptoms and improve the quality of life of people with COPD. Digital health interventions have recently been adopted in PR programmes, which allow people with COPD to participate in such programmes with low barriers. The aim of this study is to review and discuss the reported effects of digital health interventions on PR outcomes in people with COPD. Materials and Methods: To achieve the study goals, a systematic literature search was conducted using PubMed (MEDLINE), CINAHL, AMED, SPORTDiscus and the Physiotherapy Evidence Database. Randomised clinical trials (RCTs) were included if they met specified criteria. Two reviewers independently checked titles, abstracts, and performed full-text screening and data extraction. The quality assessment and risk of bias were performed in accordance with the PEDRO scale and Cochrane Risk of Bias tool 2, respectively. Results: Thirteen RCTs were included in this systematic review with 1525 participants with COPD. This systematic review showed the potential positive effect of digital health PR on the exercise capacity-measured by 6- and 12-min walking tests, pulmonary function, dyspnoea and health-related quality of life. There was no evidence for advantages of digital health PR in the improvement of anxiety, depression, and self-efficacy. Conclusions: Digital health PR is more effective than traditional PR in improving the pulmonary and physical outcomes for people with COPD, but there was no difference between the two PR programmes in improving the psychosocial outcomes. The certainty of the findings of this review is affected by the small number of included studies.

Liquid Chromatography-Mass Spectrometry Analytical Methods for the Quantitation of p-Cresol Sulfate and Indoxyl Sulfate in Human Matrices: Biological Applications and Diagnostic Potentials.

Indoxyl sulfate (IxS) and p-cresyl sulfate (pCS) are toxic uremic compounds with documented pathological outcomes. This review critically and comprehensively analyzes the available liquid chromatography-mass spectrometry methods quantifying IxS and pCS in human matrices and the biological applications of these validated assays. Embase, Medline, PubMed, Scopus, and Web of Science were searched until December 2023 to identify assays with complete analytical and validation data (N = 23). Subsequently, citation analysis with PubMed and Scopus was utilized to identify the biological applications for these assays (N = 45). The extraction methods, mobile phase compositions, chromatography, and ionization methods were evaluated with respect to overall assay performance (e.g., sensitivity, separation, interference). Most of the assays focused on human serum/plasma, utilizing acetonitrile or methanol (with ammonium acetate/formate or formic/acetic acid), liquid-liquid extraction, reverse phase (e.g., C18) chromatography, and gradient elution for analyte separation. Mass spectrometry conditions were also consistent in the identified papers, with negative electrospray ionization, select multiple reaction monitoring transitions and deuterated internal standards being the most common approaches. The validated biological applications indicated IxS and/or pCS were correlated with renal disease progression and cardiovascular outcomes, with limited data on central nervous system disorders. Methods for reducing IxS and/or pCS concentrations were also identified (e.g., drugs, natural products, diet, dialysis, transplantation) where inconsistent findings have been reported. The clinical monitoring of IxS and pCS is gaining significant interest, and this review will serve as a useful compendium for scientists and clinicians.