Epididimal cyst in children: a single-institutional experience.

Purpose: Simple epididymal cysts (EC) are rare in childhood and are mostly diagnosed at puberty. Although there is no consensus on the treatment, a conservative approach is generally preferred. To evaluate patients diagnosed with EC at our clinic in terms of presenting symptoms, diagnosis, and treatment methods.

Evaluation of resveratrol's protective effect on hydrocortisone-induced growth inhibition in the peripubertal rat epiphyseal plate.

Objective: Chronic use of glucocorticoids during childhood can lead to a decrease in hormone release, including ACTH, GH, TSH, and LH, as well as reduced IGF-1 activity. This can result in osteoporotic changes and hinder growth in height. Resveratrol, an antioxidant with phytoestrogen properties, may improve bone health by increasing bone mineral density in postmenopausal women.

Deep Learning-Based Artificial Intelligence Can Differentiate Treatment-Resistant and Responsive Depression Cases with High Accuracy.

Although there are many treatment options available for depression, a large portion of patients with depression are diagnosed with treatment-resistant depression (TRD), which is characterized by an inadequate response to antidepressant treatment. Identifying the TRD population is crucial in terms of saving time and resources in depression treatment. Recently several studies employed various methods on EEG datasets for automatic depression detection or treatment outcome prediction.

Evaluating the effect of histopathological parameters of prostate adenocarcinoma on prognosis in radical prostatectomy specimens.

Background: Over the past decade, significant updates have been made regarding the classification and grading of prostate adenocarcinoma in radical prostatectomy specimens, following decisions reached in international conferences and through impactful publications. These alterations are closely linked to patient prognosis.

Objectives: Observe the incidence of these changes and their impact on patient prognosis.

Medical reasons for permanent and temporary disqualification of Turkish civil aviation pilots.

The aim of this study was to identify diseases that result in permanent and temporary medical disqualification for civil aviation pilots and their changes over the years. A retrospective analysis was conducted on the medical examination records performed in Turkey from 2018 to 2022, in accordance with ICAO and EASA standards. The permanent disqualification rate was 1.

Unveiling new patterns: A surgical deep learning model for intestinal obstruction management.

Background: Swift and accurate decision-making is pivotal in managing intestinal obstructions. This study aims to integrate deep learning and surgical expertise to enhance decision-making in intestinal obstruction cases.

Methods: We developed a deep learning model based on the YOLOv8 framework, trained on a dataset of 700 images categorised into operated and non-operated groups, with surgical outcomes as ground truth.

Compliance with guideline recommendations in the management of patients with hospitalized community-acquired pneumonia.

Compliance with guidelines in the empirical treatment for community-acquired pneumonia (CAP) is very important to increase treatment success and reduce mortality. This study aimed to determine compliance with guideline recommendations for CAP and define the role of the clinical pharmacist (CP). Patients diagnosed with CAP were evaluated retrospectively between January 2018 and January 2020 and prospectively between February 2020 and February 2021.

The Effects of Smoking in Patients in the Intensive Care Unit During the COVID-19 Pandemic.

Objectives: In this study, we aimed to see the effects of smoking prevalence, the length of stay regarding the usage of cigarettes, and the effects on the mortality of COVID-19 in our Intensive Care Unit (ICU).

Methods: This is a retrospective single-centered study that was done in the ICU on patients with COVID-19 between 16th of March and 16 of May in 2020. The demographic data, comorbidity status, the units they were accepted from, clinical symptoms, respiratory support, prevalence of smoking, length of stay in the ICU, and mortalities of the patients were recorded.

Application of Hybrid DeepLearning Architectures for Identification of Individuals with Obsessive Compulsive Disorder Based on EEG Data.

Obsessive-compulsive disorder (OCD) is a highly common psychiatric disorder. The symptoms of this condition overlap and co-occur with those of other psychiatric illnesses, making diagnosis difficult. The availability of biomarkers could be useful for aiding in diagnosis, although prior neuroimaging studies were unable to provide such biomarkers.

DraiNet: AI-driven decision support in pneumothorax and pleural effusion management.

Objective: This study presents DraiNet, a deep learning model developed to detect pneumothorax and pleural effusion in pediatric patients and aid in assessing the necessity for tube thoracostomy. The primary goal is to utilize DraiNet as a decision support tool to enhance clinical decision-making in the management of these conditions.

Methods: DraiNet was trained on a diverse dataset of pediatric CT scans, carefully annotated by experienced surgeons.

N1 lymph node detection in lymph node harvesting in non-small cell lung cancer: Formaldehyde exposure is a drawback?

Objective: This study aimed to evaluate the effect of lymph node dissection method on staging results, diagnosis of tumor metastasis in single or multiple N1 lymph nodes and survival rates in patients with non-small cell lung cancer (NSCLC).

Methods: Patients with NSCLC who underwent anatomic resection between September 2014 and October 2019 were examined prospectively. All patients with similar clinico-demographic characteristics were randomly assigned to either the surgical group (n = 83) or the pathology group (n = 87).

Assessing fatigue and related factors in adolescents with familial Mediterranean fever (FMF): psychometric properties of the PedsQL Multidimensional Fatigue Scale.

Background: Fatigue is a common problem in pediatric rheumatic diseases and is associated with poor quality of life. However, no validated methods are available to measure fatigue in adolescents with familial Mediterranean fever (FMF). The aim of the study was to establish validity and reliability for the child self-report PedsQL Multidimensional Fatigue Scale (PedsQL-MFS) and to investigate the effects of physical characteristics, diseaserelated characteristics, sleep quality/duration, and the amount of physical activity on fatigue in adolescents with FMF.

Prospective analysis of the physiological changes caused by prolonged use of N95-type masks.

Introduction: The clinical and physiological effects of long-duration use of N95-type masks without ventilation valves, on health-care workers during the coronavirus disease-2019 (COVID-19) pandemic, were evaluated.

Methods: All volunteering personnel working in operating theater or intensive care unit, using nonventilated N95 type respiratory masks, minimum for a 2-h noninterrupted duration were observed. The partial oxygen saturation (SpO) and heart rate (HR) were recorded before wearing the N95 mask and at 1 and 2 h.

Microorganisms grown in urine cultures and antimicrobial resistance patterns: A randomised retrospective analysis from a tertiary hospital.

Introduction: Patients in intensive care units (ICU) are 5-7 times more susceptible to infection than other groups, which increases the prevalence of hospital-acquired infections and associated sepsis accounting for 60% of deaths. Gram-negative bacteria are the most common source of urinary tract infections that cause morbidity, mortality, and sepsis in the ICU. The aim of this study is to detect the most commonly grown microorganisms and antibiotic resistance in urine cultures in the intensive care units of our tertiary city hospital, which has more than 20% of the ICU beds in Bursa By this way, we suppose that we will contribute to surveillance studies in our province, our country.

Vaccine hesitancy among healthcare professionals and the general population: Second important step in the fight against COVID-19.

Introduction: This study aims at finding valuable information for predicting vaccination intentions against COVID-19 to guide future interventions to address hesitation.

Methodology: This observational study consists of 1010 volunteer health workers from the state hospitals in Bursa, and 1111 volunteers from the non-healthcare group, unvaccinated against COVID-19. In the study, the participants were asked about their sociodemographic information and reasons for refusing the COVID-19 vaccine by face-to-face interview.

Predictors of walking capacity in patients with peripheral arterial disease.

Background: Walking capacity is severely impaired in patients with peripheral arterial disease (PAD). Given the prognostic importance of walking capacity, the level of evidence on possible predictors of walking capacity in patients with PAD is insufficient.

Aims: To investigate the predictors of walking capacity in patients with PAD.

Favipiravir Experience in COVID-19 Patients at a Tertiary Center Intensive Care Unit.

Objectives: The aim of this study was to compare intensive care unit (ICU) and overall hospital mortality in patients treated with favipiravir and lopinavir-ritonavir for COVID-19.

Methods: Data were collected retrospectively between March 10 and May 10, 2020, from patients' records admitted to ICU due to COVID-19. Laboratory data, clinical characteristics, ICU and hospital mortality, ICU and hospital length of stay were compared in patients treated with favipiravir and lopinavir-ritonavir.

The Effect of Diabetes Mellitus on Mortality in Patients Hospitalized Intensive Care Unit in Covid-19 Pandemic.

Unlabelled: Backgorund and aim: There are many studies on the effects of Diabetes Mellitus on the clinical course in COVID-19 patients. Factors that increase the risk of contracting COVID-19 disease and increase disease progression have been caused, and diabetes mellitus is one of them. We aimed to evaluate the incidence of Diabetes Mellitus in patients treated in the intensive care unit in respiratory failure due to COVID-19 pneumonia, and the effect of Diabetes Mellitus on the length of stay in intensive care and mortality.

Effectiveness of inactivated SARS-CoV-2 vaccine (CoronaVac) on intensive care unit survival.

This study compared the course of coronavirus disease 2019 (COVID-19) in vaccinated and unvaccinated patients admitted to an intensive care unit (ICU) and evaluated the effect of vaccination with CoronaVac on admission to ICU. Patients admitted to ICU due to COVID-19 between 1 April 2021 and 15 May 2021 were enrolled to the study. Clinical, laboratory, radiological parameters, hospital and ICU mortality were compared between vaccinated patients and eligible but unvaccinated patients.

The management of xanthogranulomatous cholecystitis.

Objectives: Xanthogranulomatous cholecystitis (XGC) is a rare variant of chronic cholecystitis. This rare pathology is characterized by severe and progressive fibrosis of the gallbladder wall as well as infiltration of fat-laden macrophages.

Material And Methods: The final pathology report of 8213 cholecystectomies performed between 2011 and 2019 was evaluated retrospectively, and patients whose pathology result was reported as XGC were included in the study.

Essential oil of Mentha suaveolens Ehrh., composition and antibacterial activity against bacterial fish pathogens.

In this study, it was determinated the essential oil of cultivated apple mint, Mentha suaveolens Ehrh. composition and in vitro antibacterial activity of against 11 fish pathogen bacteria including Gram-positive (Staphylococcus warneri, Staphylococcus sp., Lactococcus garvieae, Vagococus salmoninarum) and Gram-negative (Aeromonas hydrophila, Aeromonas sobria Aeromonas cavieae, Vibrio anguillarum, Pseudomonas aeroginosa, Yersinia ruckeri, Edwardsiella tarda) by using agar diffusion assay.