Integrating remote sensing and geophysical data for mapping potential gold mineralization localities at Abu Marawat area, central Eastern Desert, Egypt.

Abu Marawat area in the Central Eastern Desert of Egypt is a very promising mineralization district located in the Golden Triangle area. The current study provides an integrated approach from multisource datasets including; remote sensing, airborne geophysical spectrometry and magnetic data supported by field studies and spectroscopic analyses for delineating potential mineralization localities. Several remote sensing techniques were adopted including; Band Ratios, Relative Band Depth, Mineralogical Indices, Spectral Angle Mapper, and Constrained Energy Minimization. These techniques showed that the alteration mineral assemblage is mainly, kaolinite, sericite, and iron oxides, with less abundant chlorite, epidote, and carbonates. In addition, the radiometry data were processed to map the localities with the highest possibility of potassic alteration abundance by integrating the potassium distribution, K/eTh ratio, and the F-parameter maps. The surface and subsurface linear structural features were also mapped using Digital Elevation Model (DEM) and aeromagnetic data, respectively. The surface linear structures were found exhibiting E-W and NE-SW trends, while, the subsurface structures showed dominant NW-SE trend. All the depicted fault trends match well with the local and regional geological and tectonic setting of the study area suggesting structural control on the mineralization in this area. Integration between the results obtained from both the remote sensing and the geophysical data was conducted by a GIS weighted overlay model. The obtained mineralization potentiality map highlights eight potential localities for mineralization. The accuracy of the adopted methodology was demonstrated through fieldwork and spectral analyses; several alteration indicators were observed, including quartz veins, iron oxides, kaolinite, malachite, montmorillonite, chlorite, talc, and sericite alteration indicator minerals. The adopted remote sensing-geophysical approach showed being very effective for mapping the hydrothermal gold-related alteration zones, and is recommended for other similar investigations.

Assessment of climate change on river streamflow under different representative concentration pathways.

Climate change and excessive greenhouse gas emissions profoundly impact hydrological cycles, particularly in arid and semi-arid regions, necessitating assessments of their effects on water resource management, agriculture, soil fertility, nutrient transport, hydropower generation, and flood risk. This study investigates climate change repercussions on streamflow in the Zarrineh River Basin, Iran, across three decadal intervals (2020-2029, 2055-2064, and 2090-2099) aiming to develop effective adaptation and mitigation strategies. Four General Circulation Models (GCMs), chosen based on distinct Representative Concentration Pathways (RCPs) determined by the annual mean temperature gradient, are employed. These models generate daily maximum (Tmax) and minimum (Tmin) temperatures along with precipitation data. Subsequently, these variables are integrated into the Soil and Water Assessment Tool (SWAT) model to analyze river flow alterations for each decadal timeframe. Comparison between future projections and observed climate data reveals a gradual decline in precipitation and Tmax, coupled with a substantial increase in Tmin. The average precipitation diminishes from 0.77 mm in the period 1985-1994 to a range of 0.42-0.28 mm in 2090-2099. The simulated flow at the basin outlet highlights that the GCM with the highest annual mean temperature gradient yields the lowest streamflow, while conversely, the model with the lowest gradient generates the highest. Consequently, streamflow experiences a decline from 52 m3/s in 1985-1994 to a range of 41-20 m3/s in 2090-2099.

Iron protoporphyrin IX-hyaluronan hydrogel-supported luminol chemiluminescence for the detection of nitric oxide in physiological solutions.

Due to its role as a free radical signal-transducing agent with a short lifespan, precise measurement of nitric oxide (●NO) levels presents significant challenges. Various analytical techniques offer distinct advantages and disadvantages for ●NO detection. This research aims to simplify the detection process by developing a hydrogel system using iron(III)-protoporphyrin IX (hemin)-loaded hyaluronan for the detection of ●NO in solution. Various hydrogel formulations were created, and the effects of their components on hydrogel-supported luminol chemiluminescence (CL) kinetics, radical scavenging, and physicochemical properties were analysed through factorial analysis. The candidate formulations were then evaluated using two ●NO donors. An increase in the degree of crosslinking in unloaded formulations enhanced interactions with the CL reaction components, hydrogen peroxide (H2O2) and luminol, thereby affecting light generation. However, hemin loading negated these effects, resulting in more prominent luminescence kinetics in formulations with lower crosslinking degrees. Similarly, ●NO influenced the kinetics differently, interacting with both the CL reaction and hydrogel components. Hemin-loaded formulations exhibited enhanced signal propagation when exposed to ●NO, followed by H2O2 and luminol, whereas reversing the order of addition inhibited this propagation. The magnitude of these luminescence changes depended on the type and concentration of the ●NO donor, demonstrating greater sensitivity to ●NO levels compared to amperometric sensing. These findings suggest that the studied hydrogel platform has potential for the facile and accurate detection of ●NO in solution, requiring minimal sample sizes.

Transcription Attenuation in Synthetic Promoters in Nonoverlapping Tandem Formation.

Closely spaced promoters are ubiquitous in prokaryotic and eukaryotic genomes. How their structure and dynamics relate remains unclear, particularly for tandem formations. To study their transcriptional interference, we engineered two pairs and one trio of synthetic promoters in nonoverlapping, tandem formation, in single-copy plasmids transformed into Escherichia coli cells. From in vivo measurements, we found that these promoters in tandem formation can have attenuated transcription rates. The attenuation strength can be widely fine-tuned by the promoters' positioning, natural regulatory mechanisms, and other factors, including the antibiotic rifampicin, which is known to hamper RNAP promoter escape. From this, and supported by in silico models, we concluded that the attenuation in these constructs emerges from premature terminations generated by collisions between RNAPs elongating from upstream promoters and RNAPs occupying downstream promoters. Moreover, we found that these collisions can cause one or both RNAPs to falloff. Finally, the broad spectrum of possible, externally regulated, attenuation strengths observed in our synthetic tandem promoters suggests that they could become useful as externally controllable regulators of future synthetic circuits.

Rapid total sialic acid monitoring during cell culture process using a machine learning model based soft sensor.

Total sialic acid content (TSA) in biotherapeutic proteins is often a critical quality attribute as it impacts the drug efficacy. Traditional wet chemical assays to quantify TSA in biotherapeutic proteins during cell culture typically takes several hours or longer due to the complexity of the assay which involves isolation of sialic acid from the protein of interest, followed by sample preparation and chromatographic based separation for analysis. Here, we developed a machine learning model-based technology to rapidly predict TSA during cell culture by using typically measured process parameters. The technology features a user interface, where the users only have to upload cell culture process parameters as input variables and TSA values are instantly displayed on a dashboard platform based on the model predictions. In this study, multiple machine learning algorithms were assessed on our dataset, with the Random Forest model being identified as the most promising model. Feature importance analysis from the Random Forest model revealed that attributes like viable cell density (VCD), glutamate, ammonium, phosphate, and basal medium type are critical for predictions. Notably, while the model demonstrated strong predictability by Day 14 of observation, challenges remain in forecasting TSA values at the edges of the calibration range. This research not only emphasizes the transformative power of machine learning and soft sensors in bioprocessing but also introduces a rapid and efficient tool for sialic acid prediction, signaling significant advancements in bioprocessing. Future endeavors may focus on data augmentation to further enhance model precision and exploration of process control capabilities.

Ocular syphilis in patients with nonreactive RPR and positive treponemal serologies: a retrospective observational cohort study.

BACKGROUND: Screening for syphilis increasingly relies on positive treponemal rather than nontreponemal tests (rapid plasma reagin [RPR]). We compared ocular syphilis in patients with nonreactive versus positive RPR. METHODS: We conducted a retrospective observational cohort study of ocular syphilis treated at two New England hospitals 1996-2021 based on ophthalmologist-diagnosed eye findings and positive treponemal serology, regardless of RPR. We excluded patients with alternative diagnoses. We categorized RPR into nonreactive RPR, low-titer RPR (<1:8), and high-titer RPR (≥1:8) and compared early and long-term response to therapy. RESULTS: Our sample included 115 patients with ocular syphilis (median follow-up 2.5 years): 25 (22%) nonreactive RPR, 21 (18%) low-titer RPR, 69 (60%) high-titer RPR. Compared with nonreactive and low-titer RPR, people with high-titer RPR were younger (mean 47 years, p<0.001), more likely male (93%, p<0.001) and more likely to be living with HIV (49%, p<0.001). People with nonreactive and low-titer RPR were less likely than high-titer RPR to have posterior/panuveitis (32% and 29% versus 75%, p<0.001) or abnormal CSF (26% and 35% versus 75%, p<0.001), and more likely to present with chronic eye findings (20% and 29% versus 1%, p<0.001). In long-term follow up, eye findings improved and did not recur in most patients (62% nonreactive, 68% low-titer, 96% high-titer RPR); improved but recurred in 29%, 11%, and 4%, respectively; and were stable in 10%, 21%, and 0%, respectively. CONCLUSION: Patients with ocular syphilis and nonreactive RPR are similar to patients with low-titer RPR, and antibiotic therapy is beneficial in most.

Rapid determination of uracil in biological fluids at mercury thin film electrode for early detection of potential 5-fluorouracil toxicity due to dihydropyrimidine dehydrogenase deficiency.

Determination of plasma uracil was reported as a method for evaluation of Dihydropyrimidine dehydrogenase (DPD) activity that is highly demanded to ensure the safe administration of 5-fluorouracil (5-FU)-based therapies to cancer patients. This work reports the development of a simple electroanalytical method based on adsorptive stripping square wave voltammetry (AdSWV) at mercury film-coated glassy carbon electrode (MF/GCE) for the highly sensitive determination of uracil in biological fluids that can be used for diagnosis of decreased DPD activity. Due to the formation of the HgII-Uracil complex at the electrode surface, the accuracy of the measurement was not affected by the complicated matrices in biological fluids including human serum, plasma, and urine. The high sensitivity of the developed method results in a low limit of detection (≈1.3 nM) in human plasma samples, falling below the practical cut-off level of 15 ng mL-1 (≈0.14 µM). This threshold concentration is crucial for predicting 5-FU toxicity, as reported in buffer, and ≤1.15% in biological samples), and accuracy (recovery percentage close to 100%).

Effect of Lactiplantibacillus plantarum on the growth, hemato-biochemical, inflammation, apoptosis, oxidative stress markers, involved gens and histopathological alterations in growing rabbits challenged with aflatoxin B1.

Aflatoxin B1 (AFB1) is a significant pollutant found in food and feed, posing a threat to public health. The objective of this study was to assess the effect of Lactiplantibacillus plantarum (LACP) against AFB1 in growing rabbits by investigating growth, serum metabolites, immunity, antioxidant capacity, and inflammatory response. A total of 60 growing male rabbits (721.5 ± 2.68g) were allocated to 4 experimental groups. The control group receiving only a basal diet, the AFB1 group (0.3 mg AFB1/kg diet), the LACP group (1 × 109 cfu/g /kg diet), and the combination group (1 × 109 cfu/g + 0.3 mg AFB1/kg diet; AFB1+ LACP) for 8 wk. The administration of AFB1 alone significantly decreased the final body weight, body gain, and feed intake, while significantly increasing the feed conversion ratio (P < 0.05). A significant decline in total proteins and globulins, along with elevated levels of hepatic enzymes (AST, ALP, ALT, and GGT) and renal function markers (creatinine and uric acid), were observed in the AFB1-contaminated group (P < 0.05). Immunoglobulins (IgG and IgM) were significantly decreased, alongside a significant elevation of triglycerides, direct bilirubin, and indirect bilirubin in growing rabbits fed diets with AFB1 (P < 0.05). Supplementing the AFB1 diet with LACP restored the growth reduction, improved liver (AST, ALP, ALT, and GGT) and kidney (creatinine and uric acid) functions, and enhanced immune markers in rabbit serum (P < 0.05). Antioxidant indices (SOD, GSH, and CAT) were significantly decreased in the AFB1 group (P < 0.05). However, the addition of LACP to the AFB1-contaminated diets improved antioxidant capacity and malondialdehyde (MDA) and protein carbonylation (PC) in hepatic tissues of rabbits (P < 0.05). Serum interlukin-4 (IL-4) and interferon gamma (IFN-γ) levels were significantly increased in the AFB1 group (P < 0.05), but the addition of LACP significantly reversed this elevation. AFB1 downregulated the expression of immune-inflammatory genes such Nrf2, IL-10, and BCL-2 genes, while up-regulating the caspase-3 (CASP3) gene (P < 0.05). Supplementing AFB1 diet with LACP significantly decreased the expression of immune-inflammatory genes (Nrf2, IL-10, and BCL-2) and reduced the expression of the apoptotic-related gene CASP3. This study highlights the potential of L. plantarum (1 × 109 cfu/g /kg diet) as a protective agent against AFB1 in growing rabbits by enhancing antioxidant and immune function and reducing apoptosis and inflammation pathways.

Targeting Macrophage Polarization for Reinstating Homeostasis following Tissue Damage.

Tissue regeneration and remodeling involve many complex stages. Macrophages are critical in maintaining micro-environmental homeostasis by regulating inflammation and orchestrating wound healing. They display high plasticity in response to various stimuli, showing a spectrum of functional phenotypes that vary from M1 (pro-inflammatory) to M2 (anti-inflammatory) macrophages. While transient inflammation is an essential trigger for tissue healing following an injury, sustained inflammation (e.g., in foreign body response to implants, diabetes or inflammatory diseases) can hinder tissue healing and cause tissue damage. Modulating macrophage polarization has emerged as an effective strategy for enhancing immune-mediated tissue regeneration and promoting better integration of implantable materials in the host. This article provides an overview of macrophages' functional properties followed by discussing different strategies for modulating macrophage polarization. Advances in the use of synthetic and natural biomaterials to fabricate immune-modulatory materials are highlighted. This reveals that the development and clinical application of more effective immunomodulatory systems targeting macrophage polarization under pathological conditions will be driven by a detailed understanding of the factors that regulate macrophage polarization and biological function in order to optimize existing methods and generate novel strategies to control cell phenotype.

Costs of Community-Based Viral Hepatitis Screening in Cameroon Using Point-of-Care Technologies.

This cost analysis of a community-based viral hepatitis screening program in Cameroon found an investment of $3.52 per person screened, $50.63 per new diagnosis of hepatitis B, $159.45 per new diagnosis of hepatitis C, and $47.97 per new diagnosis of either hepatitis B or C.

Deep Learning-Based Techniques in Glioma Brain Tumor Segmentation Using Multi-Parametric MRI: A Review on Clinical Applications and Future Outlooks.

This comprehensive review explores the role of deep learning (DL) in glioma segmentation using multiparametric magnetic resonance imaging (MRI) data. The study surveys advanced techniques such as multiparametric MRI for capturing the complex nature of gliomas. It delves into the integration of DL with MRI, focusing on convolutional neural networks (CNNs) and their remarkable capabilities in tumor segmentation. Clinical applications of DL-based segmentation are highlighted, including treatment planning, monitoring treatment response, and distinguishing between tumor progression and pseudo-progression. Furthermore, the review examines the evolution of DL-based segmentation studies, from early CNN models to recent advancements such as attention mechanisms and transformer models. Challenges in data quality, gradient vanishing, and model interpretability are discussed. The review concludes with insights into future research directions, emphasizing the importance of addressing tumor heterogeneity, integrating genomic data, and ensuring responsible deployment of DL-driven healthcare technologies. EVIDENCE LEVEL: N/A TECHNICAL EFFICACY: Stage 2.

Impact of Targeted Systemic Therapy and Radiotherapy on Patients Undergoing Spine Surgery for Metastatic Renal Cell Carcinoma.

BACKGROUND: In patients undergoing spine surgery for renal cell carcinoma (RCC), we sought to: (1) describe patterns of postoperative targeted systemic therapy and radiotherapy (RT), (2) compare perioperative outcomes among those treated with targeted systemic therapy to those without, and (3) evaluate the impact of targeted systemic therapy and/or RT on overall survival (OS) and local recurrence (LR). METHODS: A single-institution, retrospective cohort study of patients undergoing spine surgery for metastatic RCC from 2010 to 2021 was undertaken. Treatment groups were RT alone, targeted systemic therapy alone, dual therapy consisting of RT and targeted systemic therapy, and neither therapy. Multivariable Cox regression controlled for age, race, sex, insurance, and preoperative targeted systemic therapy. RESULTS: Forty-nine patients underwent spine surgery for RCC. Postoperatively, 4 patients (8%) received RT alone, 19 (38.8%) targeted systemic therapy alone, 12 (24.5%) dual therapy, and 13 (28.6%) neither. All groups were similar in demographics, preoperative Karnofsky Performance Score (P = 0.372), tumor size (P = 0.413), readmissions (P = 0.884), complications (P = 0.272), Karnofsky Performance Score (P = 0.466), and Modified McCormick Scale (P = 0.980) at last follow-up. Higher 1-year survival was found in dual therapy (83.3%) compared with other therapies. OS was significantly longer in patients with dual therapy compared with other therapies (log-rank; P = 0.010). Multivariate Cox regression (HR = 0.08, 95% CI = 0.02-0.31, P < 0.001) showed longer OS in dual therapy compared with other therapies. Seven patients (14.3%) experienced LR, and a similar time to LR was found between groups (log-rank; P = 0.190). CONCLUSION: In patients undergoing metastatic spine surgery for RCC, postoperative dual therapy demonstrated significantly higher 1-year survival and OS compared with other therapies. CLINICAL RELEVANCE: Multidisciplinary management of metastatic RCC is necessary to ensure timely implementation of targeted systemic therapy and RT to improve outcomes.

Self-reported hepatitis B testing among noninstitutionalized adults in the United States before the implementation of universal screening, 2013-2017: A nationwide population-based study.

In 2023, the US Centers for Disease Control and Prevention recommended universal screening for hepatitis B virus (HBV); however, the proportion of US adults screened before implementing this recommendation is unknown. We analysed nationally representative data from the National Health Interview Survey (2013-2017) on self-reported HBV testing among noninstitutionalized US adults ≥18 years. We employed Poisson logistic regression to identify factors associated with self-reported testing, using a conceptual framework that included four overarching factors: sociodemographic characteristics, healthcare access, health-seeking behaviours and experiences, and access to internet-based health information. Among 149,628 survey respondents, the self-reported HBV testing rate was 27.2% (95% CI 26.2-28.7) and increased by 1.7% from 2013 to 2017 (p = .006). In adjusted analysis, health-seeking behaviours and experiences had the strongest associations of self-reported testing including a history of hepatitis (AOR 2.68, 95% CI 1.92-3.73), receipt of hepatitis B vaccination (AOR 5.11, 95% CI 4.61-5.68) and prior testing for hepatitis C (AOR 9.14, 95% CI 7.97-10.48) and HIV (AOR 2.69, 95% CI 2.44-2.97). Other factors associated with testing included being male (AOR 1.14, 95% CI 1.03-1.26), ages 30-44 years (AOR 1.37, 95% CI 1.17-1.61), 45-60 years (AOR 1.55, 95% CI 1.30-1.80) and ≥60 years (AOR 1.53, 95% CI 1.28-1.84), residence in the Western US region (AOR 1.23, 95% CI 1.06-1.43), and access to internet-based health information (AOR 1.32, 95% CI 1.18-1.47). Being Hispanic was associated with lower odds of testing (AOR 0.80, 95% CI 0.66-0.97). These findings may help guide optimal HBV screening in the universal testing era.

Feasibility of continuous smart health monitoring in pregnant population: A mixed-method approach.

The utilization of smart monitoring technology offers potential for enhancing health outcomes, yet its feasibility and acceptance among Hispanic pregnant individuals remain uncertain. This is particularly crucial to investigate within the context of apparently healthy individuals identified as low risk, who still face a 10% likelihood of complications. Given their frequent underrepresentation in healthcare services and relative lack of attention, improving the feasibility of remote monitoring in this population could yield significant benefits. To address this gap, our study aimed to adapt and evaluate the practicality of a smart monitoring platform among healthy Hispanic pregnant women during the second and third trimesters of pregnancy, as well as one week following childbirth, a period when complications often arise. This longitudinal study followed n = 16 participants for an average of 17 weeks. Participants were instructed to wear the Oura ring for objective data collection, including activity, sleep, and heart rate, and to complete survey questions through REDcap to assess mental health and lifestyle factors. The study framework utilized the RE-AIM approach, with acceptability and adherence as key components of the feasibility evaluation. Our findings revealed that completion rates for biweekly and monthly surveys remained consistently high until after childbirth (approximately 80%), while daily question completion remained above 80% until 38th week of gestation, declining thereafter. The wearing rate of the Oura ring remained consistently above 80% until the 35th gestational week, decreasing to around 31% postpartum. Participants cited barriers to wearing the ring during the postpartum period, including difficulties managing the newborn, forgetfulness, and concerns about scratching the baby's skin. The enrollment rate was 71.42%, with an attrition rate of 6.25%. Thematic analysis of one-on-one interviews identified three main themes: personal desire for health improvement, social acceptability and support, and conditions influencing device/platform efficiency. In conclusion, while adherence varied based on gestational week and survey frequency, the study demonstrated strong acceptability of the smart monitoring platform among the study population, indicated by the high enrollment rate. Qualitative insights underscored the significance of personal motivation, social support, and device/platform efficiency in enhancing patient engagement with digital health monitoring during pregnancy, offering valuable considerations for future healthcare interventions in this domain.

Objective monitoring of loneliness levels using smart devices: A multi-device approach for mental health applications.

Loneliness is linked to wide ranging physical and mental health problems, including increased rates of mortality. Understanding how loneliness manifests is important for targeted public health treatment and intervention. With advances in mobile sending and wearable technologies, it is possible to collect data on human phenomena in a continuous and uninterrupted way. In doing so, such approaches can be used to monitor physiological and behavioral aspects relevant to an individual's loneliness. In this study, we proposed a method for continuous detection of loneliness using fully objective data from smart devices and passive mobile sensing. We also investigated whether physiological and behavioral features differed in their importance in predicting loneliness across individuals. Finally, we examined how informative data from each device is for loneliness detection tasks. We assessed subjective feelings of loneliness while monitoring behavioral and physiological patterns in 30 college students over a 2-month period. We used smartphones to monitor behavioral patterns (e.g., location changes, type of notifications, in-coming and out-going calls/text messages) and smart watches and rings to monitor physiology and sleep patterns (e.g., heart-rate, heart-rate variability, sleep duration). Participants reported their loneliness feeling multiple times a day through a questionnaire app on their phone. Using the data collected from their devices, we trained a random forest machine learning based model to detect loneliness levels. We found support for loneliness prediction using a multi-device and fully-objective approach. Furthermore, behavioral data collected by smartphones generally were the most important features across all participants. The study provides promising results for using objective data to monitor mental health indicators, which could provide a continuous and uninterrupted source of information in mental healthcare applications.

Obstacles to receiving postoperative radiation therapy following separation surgery for metastatic spine disease.

OBJECTIVE: Obtaining timely postoperative radiotherapy (RT) following separation surgery is critical to avoid local recurrence of disease yet can be a challenge due to scheduling conflicts, insurance denials, and travel arrangements. In patients undergoing metastatic spine surgery for spinal cord compression, the authors sought to: 1) report the rate of postoperative RT, 2) describe reasons for patients not receiving postoperative RT, and 3) investigate factors that may predict whether a patient receives postoperative RT. METHODS: A single-center retrospective case series was undertaken of all patients who underwent metastatic spine surgery for extradural disease between January 2010 and January 2021. Inclusion criteria were patients with intermediate or radioresistant tumors with evidence of spinal cord compression who underwent surgery. The primary outcome was the occurrence of RT within 3 months following surgery. Multivariable logistic regression analysis was performed controlling for age, BMI, race, total number of decompressed levels, tumor size, other organ metastasis, and preoperative RT or chemotherapy to predict patients receiving postoperative RT. RESULTS: Of 239 patients undergoing spine surgery for metastatic disease, 113 (47.3%) received postoperative RT while 126 (52.7%) did not. In the postoperative RT group, 24 (21.2%) received stereotactic body radiation therapy while 89 (78.8%) received conventional external-beam radiation therapy. The most common reasons for patients not receiving postoperative RT included death or transfer to hospice (31.0%), RT not being recommended by radiation oncology (30.2%), and loss to follow-up (23.8%). On critical review with the radiation oncology department, the authors estimated that 101 of 126 (80.2%) patients who did not receive postoperative RT were potential candidates for postoperative RT. Patients who received postoperative RT had more documented inpatient (48.7% vs 32.5%, p < 0.001) and outpatient (100.0% vs 65.1%, p < 0.001) radiation oncology consultations than those who did not. Additionally, patients who received postoperative RT had a higher rate of postoperative chemotherapy (53.1% vs 25.4%, p < 0.001), while patients who did not receive postoperative RT had a higher rate of preoperative RT (7.1% vs 31.0%, p < 0.001). Multivariable analysis confirmed that patients who received preoperative RT had lower odds of undergoing postoperative RT (OR 0.14, 95% CI 0.06-0.34; p < 0.001), and patients who underwent postoperative chemotherapy had higher odds of undergoing postoperative RT (OR 3.83, 95% CI 2.05-7.17; p < 0.001). CONCLUSIONS: In the current study reflecting real-world care of patients with metastatic spine disease after undergoing separation surgery, 47% of patients did not receive postoperative RT, and 80% of those patients were potential candidates for postoperative RT. Radiation oncology consultation and postoperative chemotherapy were significantly associated with receiving postoperative RT, whereas preoperative RT was significantly associated with not receiving postoperative RT. The lack of timely postoperative RT highlights a potential gap in metastatic spine tumor care and underscores the necessity for prompt radiation oncology consultation and effective planning.

Comparing the Upper Instrumented Vertebrae Tilt Angle vs Screw Angle in the Development of Proximal Junction Kyphosis After Adult Spinal Deformity Surgery: Which Matters More?

BACKGROUND: We sought to determine which aspect of the upper instrumented vertebrae (UIV)-tilt angle or screw angle-was more strongly associated with: (1) proximal junctional kyphosis/failure (PJK/F), (2) other mechanical complications and reoperations, and (3) patient-reported outcome measures (PROMs). METHODS: A single-institution, retrospective cohort study was undertaken for patients undergoing adult spinal deformity (ASD) surgery from 2011 to 2017. Only patients with UIV at T7 or below were included. The primary exposure variables were UIV tilt angle (the angle of the UIV inferior endplate and the horizontal) and UIV screw angle (the angle of the UIV screws and superior endplate). Multivariable logistic regression included age, body mass index, osteopenia/osteoporosis, postoperative sagittal vertical axis, postoperative pelvic-incidence lumbar lordosis mismatch, UIV tilt angle, and UIV screw angle. RESULTS: One hundred and seventeen patients underwent adult spinal deformity surgery with a minimum of 2-year follow-up. A total of 41 patients (35.0%) had PJK and 26 (22.2%) had PJF. (1) UIV tilt angle: 96 (82.1%) had lordotic UIV tilt angles, 6 (5.1%) were neutral, and 15 (12.8%) were kyphotic. (2) UIV screw angle: 38 (32.5%) had cranially directed screws, 4 (3.4%) were neutral, and 75 (64.1%) were caudally directed. Both lordotic-angled UIV endplate (OR = 1.06, 95% CI = 1.01-1.12, and P = 0.020) and cranially directed screws (OR = 1.19, 95% CI = 1.07-1.33, and P < 0.001) were associated with higher odds of PJK, with a more pronounced effect of UIV screw angle compared with UIV tilt angle (Wald test, 9.40 vs 4.42). Similar results were found for PJF. Neither parameter was associated with other mechanical complications, reoperations, or patient-reported outcome measures. CONCLUSIONS: UIV screw angle was more strongly associated with development of PJK/F compared with tilt angle. Overall, these modifiable parameters are directly under the surgeon's control and can mitigate the development of PJK/F. CLINICAL RELEVANCE: Surgeons may consider selecting a UIV with a neutral or kyphotically directed UIV tilt angle when performing ASD surgery with a UIV in the lower thoracic or lumbar region, as well as use UIV screw angles that are caudally directed, for the purprose of decreasing the risk of developing PJK/F.

Prevalence of Hypertension and Its Associated Risk Factors Among Adults Attending Medical Outpatient Clinics at Ibn Sina General Hospital Authority in Mukalla City, Yemen.

BACKGROUND: Hypertension (HTN) is the most generally acknowledged modifiable risk factor for cardiovascular disease, cerebrovascular disease, and end-stage renal disease. Accordingly, the World Health Organization has listed HTN as the third greatest cause of death globally. OBJECTIVES: The objective of this study was to assess the prevalence of HTN and its associated risk factors among adults attending medical clinics at Ibn Sina Hospital Authority in Mukalla City, Yemen. METHODS: A cross-sectional descriptive survey was conducted using a self-administered questionnaire applied to 384 male and female adults aged ≥18 years attending Ibn Sina General Hospital Authority outpatient clinics in Mukalla City, Yemen, between December 2022 and May 2023. The participant's body weight, height, and waist circumference were measured. The data were analyzed using Statistical Package for the Social Sciences (IBM SPSS Statistics for Windows, IBM Corp., Version 25.0, Armonk, NY). P values of <0.05 were considered statistically significant. RESULTS: Among the 384 participants, 20.5% had HTN, and the remaining (79.5%) did not have HTN, with a substantial proportion (47.2%) reporting a positive family history of HTN. Diabetes mellitus was present in 16.1% of the participants, whereas dyslipidemia and other chronic diseases were reported by 9.3% and 15.8% of the participants, respectively. A total of 75.6% of the participants had never smoked, and 11.7% were past smokers. More than half of the participants (57.29%) had never chewed khat, 20.57% were former khat chewers, and 22.14% were currently chewing khat. Nutritional status, as indicated by body mass index, showed that 29.8% were overweight. CONCLUSIONS: HTN was found to be prevalent among the study participants. However, the respondents' awareness of the problem and the overall control rates were very low. Certain factors, such as family history of HTN, diabetes mellitus, and high body mass index, were found to be associated with HTN. Therefore, intervention measures are warranted emphasizing modifiable risk factors to prevent HTN.

Enhancing the substrate selectivity of enzyme mimetics in biosensing and bioassay: Novel approaches.

A substantial development in nanoscale materials possessing catalytic activities comparable with natural enzymes has been accomplished. Their advantages were owing to the excellent sturdiness in an extreme environment, possibilities of their large-scale production resulting in higher profitability, and easy manipulation for modification. Despite these advantages, the main challenge for artificial enzyme mimetics is the lack of substrate selectivity where natural enzymes flourish. This review addresses this vital problem by introducing substrate selectivity strategies to three classes of artificial enzymes: molecularly imprinted polymers, nanozymes (NZs), and DNAzymes. These rationally designed strategies enhance the substrate selectivity and are discussed and exemplified throughout the review. Various functional mechanisms associated with applying enzyme mimetics in biosensing and bioassays are also given. Eventually, future directives toward enhancing the substrate selectivity of biomimetics and related challenges are discussed and evaluated based on their efficiency and convenience in biosensing and bioassays.