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The effect of nursing care during pregnancy termination on women’s prenatal grief, depression, anxiety, stress and coping levels: A randomized controlled study
No full textThe termination of pregnancy is considered an emotionally devastating experience. Early intervention and counseling are essential to prevent adverse complications following pregnancy loss. This study aimed to determine the effect of nursing care based on Swanson’s Theory of Caring on women’s prenatal grief, depression, anxiety, stress, and coping levels during pregnancy termination. The training and counseling program, based on Swanson’s Theory of Caring, included hospital care, a mobile application, and telephone follow-ups. We conducted this prospective randomized controlled experimental study in the gynecology and obstetrics clinic of a tertiary university hospital in Türkiye between September 2021 and May 2022. The study sample consisted of 50 women (intervention group: 25, control group: 25) whose pregnancy was terminated in the second trimester. The women were assigned to groups according to a randomization list created by a statistician. Data collection tools included a Personal Information Form, the Perinatal Grief Scale, the Depression, Anxiety, and Stress Scale, the Coping and Adaptation Process Scale, and the Numerical Rating Scale. We collected the data during hospitalization, between the 6th and 8thweeks after discharge, and at the 12thweek. We performed a chi-square test, a paired samples t-test, and an independent samples t-test on the IBM Statistical Package for the Social Sciences Statistics 26. The intervention group had lower mean perinatal grief (54.76 ± 19.49), depression (2.56 ± 2.39), anxiety (2.08 ± 2.10), and stress (3.52 ± 1.78) scores and higher mean coping and adjustment scores (140.48 ± 11.47) than the control group(p <.05). The intervention group also had a lower perception of labor pain, shorter discharge time, and a higher level of readiness for a new pregnancy (p <.05). The program that we applied in the study was effective in managing the pregnancy termination and post-discharge period in the population we studied
Measurement of Kβ/Kα X-ray intensity ratios in nickel, cobalt, copper and zinc doped WO3 thin films
No full textIn this study, the Kβ/Kα X-ray intensity ratios of tungsten oxide (WO3) thin films doped with 10–20 % Ni, Co, Cu and Zn transition metals by spray pyrolysis method were investigated by X-ray fluorescence technique (XRF). A241Am radioactive source emitting a beam with an intensity of 5 Ci (∼185 GBq) and an energy of 59.543 keV was used to excite the samples. A HPGe detector with a resolution of 180 eV at 5.96 keV was used to count the characteristic X-rays emitted from the thin films. The impact of doping transition metals on the crystal structure of WO3 thin films was investigated using XRD analysis, while their morphological properties were examined via scanning electron microscopy (SEM) coupled with energy-dispersive X-ray spectroscopy (EDX). It was observed that the Kβ/Kα X-ray intensity ratios increased in accordance with the concentrations of transition metals doped into the WO3 thin film samples. The values obtained from the Kβ/Kα X-ray intensity ratios were compared with the findings of theoretical and experimental studies for pure Ni, Co, Cu and Zn elements. XRD analysis revealed that undoped tungsten oxide and nickel, cobalt and copper doped thin films have an amorphous structure, while zinc doped tungsten oxide thin film has a monoclinic structure
Artificial intelligence versus neurologists: A comparative study on multiple sclerosis expertise
No full textIntroduction: Multiple sclerosis (MS) is an autoimmune neurodegenerative disease affecting the central nervous system. MS diagnosis is complex, requiring magnetic resonance imaging and cerebrospinal fluid analysis due to the lack of definitive biomarkers. Although treatment advancements have reduced disability, diagnostic and therapeutic challenges remain, even among MS-specialized neurologists. Artificial Intelligence (AI) tools, which analyze large datasets, are increasingly used in healthcare, especially for diagnosis and treatment. Objectives: This study aims to assess the accuracy and scope of knowledge regarding MS, focusing on diagnosis, treatment options and management strategies, as tested among neurologists and AI bots. Methods: Twenty multiple-choice questions, developed by MS-experienced neurology academics, were administered to 37 neurology specialists and 79 neurology residents in Turkey. The same questions were posed to AI platforms, including ChatGPT-4.0, GPT-4o, Gemini 1.5 Pro, Claude 3.5, Perplexity, and Perplexity Pro. Results: Neurology specialists answered 12.05 ± 4.01 questions correctly on average, while residents scored 9.08 ± 3.41. Among residents with more than two years of training, the correct answer rate improved to 11.96 ± 3.5. Specialists active in MS clinics scored significantly higher than other neurologists (17.67 ± 1.75). AI platforms scored between 14 and 19 out of 20; with an average of 17.0 ± 1.79 with Claude 3.5 scoring highest. Conclusion: The findings suggest AI holds promise in supporting MS diagnosis and treatment, though challenges remain in nuanced cases. While AI complements neurologists, further studies are essential to understand its potential and limitations. Data availability: Aggregated data will be shared upon written request to the corresponding author
Exploring the relationship between serum LOX-1, Ox-LDL, and generalized anxiety disorder
No full textApplication of three-dimensional bacteriophage cocktail biogel on infected burn wounds in rats
No full textBurn wound infections significantly hinder the healing process by disrupting the immune response and limiting treatment options due to increasing antibiotic resistance. In this study, the antimicrobial and tissue regeneration effects of a three-dimensional bacteriophage cocktail bio-gel were evaluated in vivo in burn wounds infected with antibiotic-resistant Pseudomonas aeruginosa, Acinetobacter baumannii, and Klebsiella pneumoniae. Using an experimental burn model in Sprague Dawley rats, the effects of phage bio-gel treatment on inflammatory response, cellular repair mechanisms, and wound closure dynamics were analyzed through molecular, biochemical, and histopathological assessments. Application of the bacteriophage bio-gel significantly accelerated wound healing in infected burn groups, with healing rates ranging from 77.56 to 89.75% on days 15 and 20. Cytokine analysis demonstrated that phage therapy modulated inflammation by reducing IL-1β, IL-6, and TNF-α levels (p < 0.05). Molecular analyses examining extracellular matrix dynamics showed a significant increase in TGF-β1, Smad-2/3, and collagen type 1 gene expression, indicating enhanced fibroblast activation and tissue remodeling. While MMP-2 and hydroxyproline levels increased, MMP-9 levels decreased following phage treatment. Histopathological evaluations revealed that re-epithelialization and tissue remodeling were accelerated, while inflammation was reduced in the A. baumannii and K. pneumoniae infected groups. These findings suggest that bacteriophage-based bio-gels provide a promising alternative for treating polymicrobial burn wound infections. The results indicate that bacteriophage biomaterials exhibit superior wound healing potential compared to conventional treatments, particularly in infections caused by antibiotic-resistant pathogens
Boron-supplemented fecal microbiota transplantation alleviates LPS-induced liver and kidney damage via the semaphorin signaling pathway
No full textMobile app-based bowel preparation training: effects on compliance, quality, and anxiety in colonoscopy patients—a randomized controlled trial
No full textBackgroundEffective bowel preparation is essential for successful colonoscopy, allowing for optimal mucosal visualization and polyp detection. While standard educational materials are commonly used, mobile health technologies offer potential for improving patient adherence and preparation quality.MethodsThis study aimed to evaluate the impact of mobile application-based bowel preparation training on bowel preparation compliance, quality, and anxiety levels in patients scheduled for colonoscopy. This prospective, single-blind, randomized controlled trial included 160 adult outpatients scheduled for elective colonoscopy. Patients were randomly assigned to either a mobile application–based education group (n = 80) or a control group receiving standard verbal and written instructions (n = 80). All patients received the same purgative regimen. The primary outcome was bowel preparation quality assessed by the Boston Bowel Preparation Scale (BBPS). Secondary outcomes included compliance with dietary and preparation protocols and pre-procedural anxiety measured by the State-Trait Anxiety Inventory (STAI). The mobile application was developed using the ADDIE instructional design model.ResultsAdequate bowel preparation (BBPS ≥ 6) was achieved in 94.9% of the mobile app group versus 83.8% of the control group (p = 0.022). Segmental BBPS scores for the right, transverse, and left colon were significantly higher in the intervention group (p < 0.01 for all). Compliance with the clear liquid diet (p = 0.002) and overall adherence (96% vs. 90%, p = 0.005) were also significantly better in the app group. Patients in the intervention group reported fewer difficulties with preparation (p = 0.009). No significant difference was observed in state anxiety scores between groups (p > 0.05).ConclusionsMobile application–based bowel preparation education significantly improved bowel cleansing quality and patient compliance compared to standard methods. The findings support the integration of mobile health tools into pre-procedural patient education to enhance colonoscopy outcomes. Clinical Trial Number: NCT05973266.</p
Pre-transplant predictors of 3-Month survival following liver transplantation for acute liver failure in adult and pediatric patients in Türkiye
No full textThis multicenter retrospective study analyzed 336 patients (236 adults, 100 children) who underwent liver transplantation (LT) for acute liver failure (ALF) between 2002 and 2019 across 14 centers in Türkiye. The aim was to evaluate pretransplant factors influencing short-term posttransplant survival. Median MELD and PELD scores were 31 and 30, respectively. The most common ALF etiologies were viral, indeterminate, and drug-induced causes. Living donor liver transplantation (LDLT) was more common in children (86.0%) than adults (57.2%). Mean posttransplant survival was 166±9 months in children and 117±6 months in adults. In adults, LDLT significantly improved survival compared to deceased donor LT (DDLT), with survival of 135 vs. 89 months (p=0.0012). Although pediatric LDLT recipients had longer mean survival than DDLT recipients (167 vs. 132 months), this difference was not statistically significant (p=0.5959). Three-month mortality was associated with low albumin and grade 4 hepatic encephalopathy (HE) in children. In adults, independent predictors of early mortality included DDLT, serum sodium >140 mEq/L, MELD >35, pH <7.3, and grade 4 HE. Our data suggest that LDLT may offer a survival advantage, particularly in adults with ALF. Identifying pretransplant risk factors is essential for improving early outcomes and guiding clinical decision-making
Is there a relationship between sleep quality, dietary intake and weight gain in Turkish pregnant women?
No full textBackground: Sleep quality, dietary intake, and body composition are known to change during pregnancy. This study aimed to examine the relationship between sleep quality, dietary intake and gestational weight gain in pregnant women. Methods: This cross-sectional study was conducted between April and October 2023 in Istanbul, involving 214 healthy pregnant women aged 20–45 years who had no diagnosed medical conditions and were referred to a diet clinic by a physician. Sociodemographic information, anthropometric measurements, and 3-day food diaries were collected, and the Pittsburgh Sleep Quality Index (PSQI) was administered through a face-to-face questionnaire. Results: Of the participants, 56.5% reported poor sleep quality. Body weight and body mass index (BMI) were significantly higher in those with poor sleep quality (p 0.05). Sleep quality did not vary with daily energy and macronutrient intake (p > 0.05). PSQI subscale analysis revealed that sleep disturbances in pregnant women were positively associated with energy (r = 0.137, p = 0.045), calcium (r = 0.147, p = 0.032), and copper (r = 0.139, p = 0.042) intake. Conclusions: Sleep disturbances during pregnancy are positively associated with dietary intake and gestational weight gain. To prevent sleep disturbances, which are common in pregnant women, it is important to provide counseling on optimal weight gain and healthy nutrition starting from the preconception period
