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Ergenlerin Sosyal Medya Fenomenlerinden Etkilenme, Popülerlik ve Siber Agresyon Algıları Arasındaki İlişki
No full textFactors Affecting the Intensive Care Experience of Patients Undergoing Cardiac Surgery: A Cross-Sectional Study
No full textCan mean platelet volume values predict maternal and fetal outcomes in the third trimester of pregnancy in gestational diabetic patients? A retrospective cohort study
No full textThis study aims to determine if mean platelet volume (MPV) can predict maternal and fetal outcomes in pregnant women during their third trimester. A retrospective case-control study was conducted at Medipol Hospital's Obstetrics and Gynecology Clinic, involving 200 women with gestational diabetes mellitus (GDM) and 200 healthy pregnant women. Data collected included age, gestational age, body mass index (BMI), and complete blood count parameters such as hemoglobin, hematocrit, thrombocyte count, and MPV values. The results indicated that the GDM group had significantly higher age, BMI, cesarean rates, and MPV values compared to the healthy group. Maternal complications like preeclampsia, preterm labor, shoulder dystocia, and fetal growth restriction were more frequent in the GDM group. Neonatal complications, including hyperbilirubinemia, hypoglycemia, transient tachypnea of the newborn (TTN), and increased admissions to the neonatal intensive care unit, were also significantly higher. A notable finding was the significant association between elevated maternal MPV values and the occurrence of TTN in newborns (p=0.043). Mothers of infants with TTN had higher third-trimester MPV values. Receiver operating characteristic (ROC) curve analysis established a cut-off MPV value of >11.35 ft for predicting TTN. The study concludes that elevated MPV in women with GDM is strongly associated with an increased risk of TTN in their newborns. MPV, being a simple and cost-effective parameter obtained from routine blood counts, could serve as a predictive marker for TTN. However, due to limitations such as the retrospective design and single-center data, further multi-center cohort studies are recommended to validate these findings and establish MPV as a reliable predictor for adverse neonatal outcomes in GDM pregnancies.</p
Reply to Letter to the Editor: “Current Guidelines Should be Taken into Consideration in the Management of Dyslipidemia”
No full textCaregiving burden and quality of life in individuals caring for palliative care patients
No full textComparing ChatGPT 3.5 and 4.0 in Low Back Pain Patient Education: Addressing Strengths, Limitations, and Psychosocial Challenges
No full textBackground: Artificial intelligence tools like ChatGPT have gained attention for their potential to support patient education by providing accessible, evidence-based information. This study compares the performance of ChatGPT 3.5 and ChatGPT 4.0 in answering common patient questions about low back pain, focusing on response quality, readability, and adherence to clinical guidelines, while also addressing the models' limitations in managing psychosocial concerns. Methods: Thirty frequently asked patient questions about low back pain were categorized into 4 groups: Diagnosis, Treatment, Psychosocial Factors, and Management Approaches. Responses generated by ChatGPT 3.5 and 4.0 were evaluated on 3 key metrics: 1) response quality: rated on a scale of 1 (excellent) to 4 (unsatisfactory); 2) DISCERN criteria: evaluating reliability and adherence to clinical guidelines, with scores ranging from 1 (low reliability) to 5 (high reliability; and 3) readability: assessed using 7 readability formulas, including Flesch-Kincaid and Gunning Fog Index. Results: ChatGPT 4.0 significantly outperformed ChatGPT 3.5 in response quality across all categories, with a mean score of 1.03 compared to 2.07 for ChatGPT 3.5 (P < 0.001). ChatGPT 4.0 also demonstrated higher DISCERN scores (4.93 vs. 4.00, P < 0.001). However, both versions struggled with psychosocial factor questions, where responses were rated lower than for Diagnosis, Treatment, and Management questions (P = 0.04). Conclusions: ChatGPT 3.5 and 4.0 limitations in addressing psychosocial concerns highlight the need for clinician oversight, particularly for emotionally sensitive issues. Enhancing artificial intelligence's capability in managing psychosocial aspects of patient care should be a priority in future iterations
Promising Antidepressant Potential: The Role of Lactobacillus rhamnosus GG in Mental Health and Stress Response
No full textChronic stress is linked to changes in brain physiology and functioning, affects the central nervous system (CNS), and causes psychiatric diseases such as depression and anxiety. In this study, antidepressant effects of the probiotic bacterium Lactobacillus rhamnosus GG (ATCC 53103) (LGG) (15 × 108 cfu/ml/day) on the mechanisms playing a role in the pathophysiology of depression were investigated, and the results were compared with the effects of bupropion (20 mg/kg/day) and venlafaxine (20 mg/kg/day). A total of 56 male Wistar Albino rats were used in control, stress, bupropion, venlafaxine, LGG, bupropion + stress, venlafaxine + stress, LGG + stress groups, n = 7 each. Changes in the body weight of the rats during the experiment were determined by weight measurement. Gene expression levels were determined by the RT-PCR method. Four different behavioral tests were performed to evaluate depressive behaviors (sucrose preference test, three-chamber sociability test (social interaction test), elevated plus maze test, forced swim test). LGG treatment was effective in reducing depressive-like behaviors, increased BDNF level, 5-HT1A, DRD1, ADRA-2A, GABA-A α1, CNR1 expression levels in the hippocampus and NOD1 receptor expression level in the small intestine (p < 0.05), and also decreased neurodegeneration level, glial cell activity, and intestinal permeability in depressed rats. As a result, it was revealed in this study for the first time that the LGG probiotic bacterium has antidepressant properties and was found to be more effective than the antidepressant drugs bupropion and venlafaxine. Our results suggest that LGG is a potential psychobiotic bacterium and can be useful to treat depression. It may be an effective and useful option in combating depression
