The investigation of relationship between serum melatonin levels with Beck Depression Inventory and Beck Scale for Suicidal Ideation in suicide patients.

OBJECTIVE: Melatonin plays a role in many biological and physiological events. There are studies in the literature relating melatonin levels to many psychiatric disorders such as schizophrenia, bipolar disorder, and major depressive disorder. We aimed to investigate the relationship between serum melatonin levels with the Beck Depression Inventory and the Beck Scale for Suicidal Ideation in suicide patients. METHODS: The study was conducted prospectively with volunteer patients aged 20-50 years who were admitted to the emergency department after a suicide attempt. The social and occupational status, educational levels, marital status, and stressor factors of patients were questioned. Beck Depression Inventory and Beck Scale for Suicidal Ideation were applied to each patient included in the study. Blood melatonin levels were evaluated using the enzyme-linked immunosorbent assay method. The data were analyzed with the SPSS 23.00 statistical program. Descriptive values were expressed by the number of cases (n), percentage (%), median (interquartile range), and mean±standard deviation. The Kolmogorov-Smirnov test was used to assess the distribution of continuous variables, and the Pearson or Spearman correlation test was used to assess the relationship between disease severity and melatonin level. A value of p<0.05 was considered statistically significant. RESULTS: No statistically significant correlation was found between melatonin level and the Beck Depression Inventory score (r=-0.098, p=0.44). However, a statistically weak, inverse, and significant correlation was discovered between melatonin levels and the Beck Scale for Suicidal Ideation score (r=-0.465, p=0.00). CONCLUSION: According to our results, it was determined that there was a significant negative relationship between melatonin level and the Beck Scale for Suicidal Ideation scoring.

Understanding adverse childhood experiences and the call for trauma-informed healthcare system in Turkey: a review.

Over the past four decades, research has underscored the significance of approaching and preventing trauma from a systemic standpoint. Trauma-informed care (TIC) methodologies offer a structure for healthcare practices, striving to convert organizations into trauma-informed systems that employ trauma-specific interventions. This review employs epidemiological and household data from Turkey to underscore the importance of integrating trauma-informed care as a means of prevention and intervention. Through a desk review, the study examines the role of adverse childhood experiences (ACEs), delving into their origin from family dynamics, migration, violence, exposure to violence, juvenile delinquency, and child maltreatment. The research highlights innovative healthcare approaches that leverage data to address complex patient health issues while considering mental health needs. In contemporary times, healthcare organizations acknowledge the value of a data-driven approach to make informed clinical decisions, enhance treatment procedures, and improve overall healthcare outcomes. The reviewed research and empirical data furnish proof of the importance of effective and efficient treatment methods that prioritize trauma prevention and treatment, integrating the role of ACEs. This paper seeks to contribute to discussions on transforming the healthcare system to meet the healthcare needs of Turkish households, all the while taking into account the evolving sociopolitical factors that shape Turkey's population characteristics.

The mediating role of depressive symptoms among Turkish population related to gender and low back pain: evidence from a national health survey.

BACKGROUND: Low back pain (LBP), though non-life-threatening, burdens healthcare with treatment expenses and work hours lost. Globally, 70-84% experience it, with risk factors tied to societal structure, income, and living conditions, making it a leading cause of disability. METHODS: This study utilized data from the 2019 Türkiye Health Survey, which consisted of 17,084 individuals aged 15 and above. Our study focused on investigating the factors related to low back pain through a cross-sectional analysis. To analyze these factors, we employed binary multivariate logistic regression. Additionally, we conducted post-hoc analyses to assess the potential mediating effect of depressive symptoms on the relationship between low back pain and gender. RESULTS: We found that 31.9% of the population experienced low back pain, with women being 58% more likely [aOR = 1.58; 95% CI (1.45-1.73)] than men to report symptoms. Individuals aged 55 + years old had a 90% [aOR = 1.90; 95% CI (1.61-2.23)] chance of experiencing low back pain, indicating an age-related increase. In the general population, having depressive symptoms was 2.49 [95% CI (2.23-2.78)] times more likely associated with low back pain. Our mediation analysis showed that gender (i.e., women vs. men), indicated by direct effects with ß-estimates e = 0.78, predicted the likelihood of low back pain. Additionally, the relationship between gender and low back pain, mediated through a history of depressive symptoms, had a significant total indirect effect (i.e., ß-estimate given as e = 0.49). Specifically, a history of depressive symptoms accounted for 17.86% [95% CI (9.67-20.10)] of the association between women having a higher likelihood of low back pain compared to men. CONCLUSION: We observed that a higher likelihood of low back pain associated with gender and aging. Additionally, BMI served as a significant predictor, particularly in adults. Depression mediated the association between gender and low back pain. Acknowledging these associations may help identify and address contributing factors to LBP, potentially increasing awareness and alleviating the burden. Policymakers and healthcare professionals may consider these findings when developing prevention and treatment programs for low back pain.

Factors associated with HIV-positive status awareness among adults with long term HIV infection in four countries in the East and Southern Africa region: A multilevel approach.

Antiretroviral treatment (ART) appropriately and regularly used decreases the human immunodeficiency virus (HIV) viral load in the bloodstream, preventing HIV-infected people from spreading the infection to others. Disparities in ART adoption persists in East and Southern Africa, with low HIV-positive status knowledge being the primary factor. We investigated individual and household characteristics of HIV-positive status awareness among adults with long-term HIV infection in four East and Southern African countries: Eswatini, Malawi, Tanzania, and Zimbabwe. The study analyzed data from surveys conducted in Eswatini, Malawi, Tanzania, and Zimbabwe in 2015-2016. Only individuals who tested positive for HIV through rapid tests were included in the analysis. Those who already knew they were HIV-positive were categorized as aware, while those who reported being negative, never tested, or didn't know their status were categorized as unaware. Statistical models were used to examine various factors related to HIV awareness. Pooled and country-specific odds ratios were computed. The percentage of people who knew they had HIV ranged from 58% (Tanzania and Malawi) to 87% (Eswatini). After adjusting for other variables, young persons in all countries were less likely to be aware of their HIV-positive status. Gender, marital status, education, working status, household wealth, and urbanization level of households were also associated with HIV-positive status awareness but inconsistent across countries. HIV-positive status awareness in these four East and Southern African nations remained unsatisfactory as compared to the United Nations' 95% guideline, indicating that testing and knowledge of HIV testing in this region still has a lot of potential for improvement. The observed variations among nations may be attributable to differences in HIV pandemic culture and policies. The findings of this study will assist governments determining which subpopulations to target to boost adoption of HIV testing services, as well as in designing and development of policies.

Individual-level determinants of depressive symptoms and associated diseases history in Turkish persons aged 15 years and older: A population-based study.

Background: Depressive symptoms are associated with both long-lasting and short-term repetitive mood disorders and affect a person's ability to function and lead a rewarding life. In addition to predisposing genetic causes, other factors such as socioeconomic and demographic factors, and chronic diseases have also been reported to associate with depression. In this study, we analyzed the association between history of chronic diseases and presentation of depressive symptoms amongst Turkish individuals. Methods: We employed the 2019 Turkey health survey to analyze data of 11,993 individuals aged 15+ years. Depressive symptoms were assessed using the eight-item Patient Health Questionnaire (PHQ-8) coded with a binary measure, a score of <10 as less depressed and >10 as moderate-severely depressed. A number of sociodemographic characteristics were adjusted for in the analyses. Logistic regression models were used to test the association between chronic diseases and depressive symptoms in the study sample. Results: Our analysis revealed that 6.24% of the 11,993 participants had reported an episode of depressive symptoms. The prevalence of depressive symptoms in men was 1.85% and in women, it was 2.34 times higher. Participants who had previously reported experiencing coronary heart diseases (AOR = 7.79, 95% CI [4.96-12.23]), urinary incontinences (AOR = 7.90, 95% CI [4.93-12.66]), and liver cirrhosis (AOR = 7.50, 95% CI [4.90-10.42]) were approximately eight times likely to have depressive symptoms. Similarly, participants with Alzheimer's disease (AOR = 6.83, 95% CI [5.11-8.42]), kidney problems (AOR = 6.63, 95% CI [4.05-10.85]), and history of allergies (AOR = 6.35, 95% CI [4.28-9.23]) had approximately seven-fold odds of reporting episodes of depressive symptoms. The odds of presenting with depressive symptoms amongst participants aged ≥ 50 were higher than in individuals aged ≤ 49 years. Conclusion: At individual level, gender and general health status were associated with increased odds of depression. Furthermore, a history of any of the chronic diseases, irrespective of age, was a positive predictor of depression in our study population. Our findings could help to serve as a reference for monitoring depression amongst individuals with chronic conditions, planning health resources and developing preventive and screening strategies targeting those exposed to predisposing factors.

Comparison of two intraosseous devices in adult patients in the emergency setting: a pilot study.

OBJECTIVE: To compare two intraosseous (IO) insertion devices in terms of safety and ease of use in patients who need urgent vascular access in the emergency setting following failed attempts for intravenous lines. METHODS: This prospective, randomized clinical study compared two different IO access devices in adults (≥16 years of age or weighing>40 kg) admitted to our emergency department with difficult peripheral venous access and in need of urgent intervention. The findings were compared in terms of the rates of successful insertion of spring-loaded impact-driven adult BIG and the battery-driven EZ-IO devices on the first attempt, difficulty of use, time taken to complete the insertion, and complication rates. RESULTS: A total of 52 patients were enrolled and randomized for the study. IO access was performed in 26 patients using the BIG device and in 26 patients using the EZ-IO device. The rates of successful insertion of BIG and EZ-IO devices on the first attempt were 92.3 and 84.6%, respectively (P=0.668). The time taken to complete the procedure was significantly greater in the EZ-IO group (5.2±2.2 s) compared with the BIG group (2.8±1.2 s) (P<0.001). Difficulty of use was scored using the visual analogue scale, which yielded the mean visual analogue scale for EZ-IO and BIG (25.4±12.6 and 8.6±6.4 mm, respectively) (P<0.001). No mechanical problems or technique-related complications were encountered in any of the groups. CONCLUSION: Both EZ-IO and BIG are shown to be reliable and safe methods for insertion of intravascular access in emergency conditions.

Comparison of the Efficiencies of Buffers Containing Ankaferd and Chitosan on Hemostasis in an Experimental Rat Model with Femoral Artery Bleeding.

OBJECTIVE: In the first assessment of trauma patients with major vascular injuries, we need effective and rapid-acting homeostatic materials. In this study we compare the efficiencies of Ankaferd Blood Stopper® and a chitosan linear polymer (Celox®) in an experimental rat model with femoral artery bleeding. MATERIALS AND METHODS: Thirty male Wistar albino rats weighing 200-250 g were divided into 3 groups: control, Ankaferd, and chitosan. The femoral artery and vein were visualized and bleeding was started by an incision. The bleeding time was recorded and categorized as 'bleeding stopped at the second minute', 'bleeding stopped at the fourth minute', and 'unsuccessful' if bleeding continued after the fourth minute. RESULTS: In the control group, 60% of the bleeding did not stop. In the first 4 min in the Ankaferd group, the bleeding stopped in all rats; only in 1 of the rats in the chitosan group did the bleeding not stop. In stopping the bleeding in the first 4 min, Ankaferd was similar to chitosan but better than the control group; the chitosan group was similar to the control, but the p-value was close to significance. CONCLUSION: For major arterial bleeding, the main treatment is surgical bleeding control, but outside of the hospital we can use buffers containing Ankaferd and chitosan on the bleeding region. The results of this study should be supported with larger studies. Furthermore, in our study, healthy rats were used. New studies are needed to evaluate the results of hypovolemic and hypotensive cases with major artery bleeding.

Hilbert-Huang transform in detecting and analyzing the uterine contraction activities.

OBJECTIVE: The diagnosis of labor is currently one of the most difficult problems encountered by obstetrical healthcare providers. A major health problem is the increase in the rate of preterm delivery, which is responsible for 75% of all deaths in newborns. In addition, preterm delivery is associated with several cognitive and health problems in later life and enormous costs for the health system. A better understanding of myometrial activities could help to reduce preterm deliveries and the costs associated with prematurity in the following years. Therefore, the objective of this study was to determine whether using the Hilbert-Huang transform (HHT) to analyze the uterine contraction data would help us gain a better insight of the myometrial activities of the human uterus during pregnancy. MATERIAL AND METHODS: Uterine magnetomyographic (MMG) signals were recorded from pregnant patients at gestational ages of 32-38 weeks. The study was approved by the Human Research Advisory Board of the University of Arkansas for Medical Sciences (UAMS) and performed after obtaining written consent from each patient. The recording of transabdominal MMG signals was conducted with the SQUID Array for Reproductive Assessment (SARA, VSM MedTech Inc; Coquitlam, BC, Canada) system, which has 151 primary magnetic sensors allocated approximately 3 cm apart over an area of 850 cm(2). The arrangement of sensors is concave in nature and, in a similar lateral distance, spans the maternal abdomen longitudinally from the symphysis pubis to the uterine fundus. The recording times ranged from 12 to 28 min, and the sampling rate was 250 Hz. The data were down-sampled to 25 Hz to reduce the computational complexity and post-processed with a bandpass filter (0.05-1 Hz) because the uterine contraction activity is a band-limited process (0.05-1 Hz). The recordings of one intrauterine pressure catheter (IUPC) dataset and two mother-perceived contraction datasets were compared with the HHT results, and HHT's potential was explored through the development of a module and a series of experiments. The local energy and the instantaneous frequency derived from the intrinsic mode functions (IMFs) through HHT provide a full energy-frequency-time distribution of the data. Our objective was to determine whether HHT for each channel can help identify and localize contractions in the uterus. Human studies have been reviewed by the appropriate ethics committee and have therefore been performed in accordance with the ethical standards described in an appropriate version of the 1975 Declaration of Helsinki, as revised in 2000. RESULTS: After comparing the IUPC and other mother-perceived contraction (STIM) datasets with HHT results, we were able to visually detect contraction locations in the HHT-processed uterine signals. For verification and validation purposes, when we further analyzed the delay time between two signals, the mechanical activity (i.e., IUPC) following the electrical activity (i.e., magnetic signal) was observed. In conclusion, our experimentations using the method introduced here revealed that there is a 75% correlation between the results obtained by HHT and IUPC data. CONCLUSION: This study compared uterine contractions and changes in the intrauterine pressure with results obtained by HHT. In addition, using IUPC data as a validation guide, we showed that the HHT approach can be used for noise removal. There is a need for time-saving and non-subjective automatic contraction detection in the field of prenatal examination.

The relationship between coronary artery disease and pericoronary epicardial adipose tissue thickness.

OBJECTIVES: A retrospective study to investigate the relationship between epicardial adipose tissue thickness (EATT) and presence of coronary artery plaque, coronary artery disease (CAD) and CAD risk factors. METHODS: Multidetector computed tomography (MDCT) coronary angiography images were reviewed. Left anterior decending artery, right coronary artery and left circumflex artery pericoronary EATT were measured. Demographic, clinical and CAD risk factor data were obtained from medical records. RESULTS: Patients with CAD (n = 49) had significantly larger mean EATT than those without CAD (n = 101). Pericoronary EATT was significantly correlated with body mass index, total cholesterol level, coronary artery calcium score, hypertension and diabetes mellitus history. CONCLUSIONS: There is an association between pericoronary EATT and CAD, as well as CAD risk factors. Pericoronary EATT measurement may become a widely used, easy-to-perform method for determining CAD risk.

Efficacy of aprotinin treatment on bilateral blunt chest trauma created in rabbits.

OBJECTIVES: To investigate the effects of aprotinin, on blood gasses, oxidant-antioxidant status, and lung histopathology in an experimental bilateral blunt chest trauma model. METHODS: Conducted at the Experimental Animal Laboratory of Meram Medical School at Selcuk University, Konya, Turkey, the study comprised 21 New Zealand female albino rabbits who were divided into three groups.Trauma was applied on the sham and aprotinin groups, which was administered intravenous Aprotinin 20.000 U/kg. Arterial blood samples were obtained from all rabbits at hours 0, 3, 24, and 96. At hour 96 after trauma, all rabbits were sacrificed using the decapitation method, and then blood and lung tissue samples were obtained. Blood nitric oxide, malondialdehyde and blood gas measurements were made. Histopathological changes in the lung were examined with a light microscope. RESULTS: While no positive effect of aprotinin was observed on nitric oxide malondialdehyde and partial pressure of carbon dioxide values, it was seen to have an increasing effect on partial oxygen pressure level. Aprotinin had a partial effect on lung histopathology. CONCLUSION: Aprotinin was determined to have a positive effect on PO2 levels. We could not find any positive effects especially on alveolar haemorrhage.

Fast density-based lesion detection in dermoscopy images.

Dermoscopy is one of the major imaging modalities used in the diagnosis of melanoma and other pigmented skin lesions. Automated assessment tools for dermoscopy images have become an important research field mainly because of inter- and intra-observer variations in human interpretation. One of the most important steps in dermoscopy image analysis is automated detection of lesion borders. In this study, we introduce a border-driven density-based framework to identify skin lesion(s) in dermoscopy images. Unlike the conventional density-based clustering algorithms, proposed algorithm expands regions only at borders of a cluster that in turn speeds up the process without losing precision or recall. In our method, border regions are represented with one or more simple polygons at any time. We tested our algorithm on a dataset of 100 dermoscopy cases with multiple physicians' drawn ground truth borders. The results show that border error and f-measure of assessment averages out at 6.9% and 0.86 respectively.

Analysis of density based and fuzzy c-means clustering methods on lesion border extraction in dermoscopy images.

BACKGROUND: Computer-aided segmentation and border detection in dermoscopic images is one of the core components of diagnostic procedures and therapeutic interventions for skin cancer. Automated assessment tools for dermoscopy images have become an important research field mainly because of inter- and intra-observer variations in human interpretation. In this study, we compare two approaches for automatic border detection in dermoscopy images: density based clustering (DBSCAN) and Fuzzy C-Means (FCM) clustering algorithms. In the first approach, if there exists enough density--greater than certain number of points--around a point, then either a new cluster is formed around the point or an existing cluster grows by including the point and its neighbors. In the second approach FCM clustering is used. This approach has the ability to assign one data point into more than one cluster. RESULTS: Each approach is examined on a set of 100 dermoscopy images whose manually drawn borders by a dermatologist are used as the ground truth. Error rates; false positives and false negatives along with true positives and true negatives are quantified by comparing results with manually determined borders from a dermatologist. The assessments obtained from both methods are quantitatively analyzed over three accuracy measures: border error, precision, and recall. CONCLUSION: As well as low border error, high precision and recall, visual outcome showed that the DBSCAN effectively delineated targeted lesion, and has bright future; however, the FCM had poor performance especially in border error metric.

Successfully treated massive epistaxis in a patient with internal carotid artery pseudoaneurysm.

Approximately 60% of the adult population experience at least 1 episode of epistaxis in their lifetimes. Because the blood supply of the nasal mucosa ultimately originates from the carotid arteries, acute epistaxis is potentially very serious. Sudden and massive epistaxis is usually fatal, and it is one of the most dreaded complications after radiotherapy (RT) among patients with cancer of the head and neck region. To the best of our knowledge, few patients who are alive have been presented with massive epistaxis due to ruptured internal carotid artery pseudoaneurysm associated with RT in the literature. Herein, we reported a successfully treated massive epistaxis case of ruptured internal carotid artery pseudoaneurysm associated with RT in a patient who has nasopharyngeal carcinoma.

A soft kinetic data structure for lesion border detection.

MOTIVATION: The medical imaging and image processing techniques, ranging from microscopic to macroscopic, has become one of the main components of diagnostic procedures to assist dermatologists in their medical decision-making processes. Computer-aided segmentation and border detection on dermoscopic images is one of the core components of diagnostic procedures and therapeutic interventions for skin cancer. Automated assessment tools for dermoscopic images have become an important research field mainly because of inter- and intra-observer variations in human interpretations. In this study, a novel approach-graph spanner-for automatic border detection in dermoscopic images is proposed. In this approach, a proximity graph representation of dermoscopic images in order to detect regions and borders in skin lesion is presented. RESULTS: Graph spanner approach is examined on a set of 100 dermoscopic images whose manually drawn borders by a dermatologist are used as the ground truth. Error rates, false positives and false negatives along with true positives and true negatives are quantified by digitally comparing results with manually determined borders from a dermatologist. The results show that the highest precision and recall rates obtained to determine lesion boundaries are 100%. However, accuracy of assessment averages out at 97.72% and borders errors' mean is 2.28% for whole dataset.

Evaluation of soluble transferring receptor levels in children with iron deficiency and beta thalassemia trait, and in newborns and their mothers.

In this study we first aimed to investigate the value of soluble transferrin receptor levels (sTfR) in healthy, iron deficient and beta thalassemia trait children and to determine whether sTfR is a useful indicator of iron deficiency. Secondly, we investigated the effects of iron supplementation of sTfR levels in a group of iron deficient children. Third was to describe sTfR in newborn infants and determine whether or not maternal iron deficiency is an important predictor of infant sTfR. Six groups were formed: Children with iron deficiency (n=22), post-iron therapy (n=16), beta thalassemia traits (n=19), healthy children (n=19), full-term newborns (n=20), and their mothers (n=19), Complete blood count (CBC), serum iron, iron-binding capacity, ferritin and sTfR levels were measured. sTfR/log ferritin indexes were calculated. sTfR levels of children with iron deficiency and with beta thalassemia trait were found to be significantly higher than those of healthy children (p<0.0001 and p<0.001). Children with iron deficiency showed a greater increase in the levels of sTfR than those with beta thalassemia traits (p=0.008). Although sTfR levels of subjects having iron therapy decreased, the levels still remained high compared to controls (p=0.002). Newborns had significantly higher levels of sTfR than controls (p<0.0001). Although sTfR levels of mothers with iron deficiency were higher than those of mothers having no iron deficiency (p=0.009), there was no difference in the levels of sTfR between newborns of both groups of mothers (p=0.790). sTfR is a useful parameter which shows body iron status as well as erythropoietic activity in children. It is independent of mother's iron status, and is due to erythropoietic activity in newborns.