My Second Thoughts About Neck Lifts and the “Boston Tuckster” Stitch: A Video Interview With Dr Sumner Slavin
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PROVIDER: S-EPMC10903171 | biostudies-literature | 2023 Jan
REPOSITORIES: biostudies-literature
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Project description:ObjectivesWe aimed to investigate the experience of obsessional intrusive thoughts (OITs) in a sample of children aged 8 to 10 years old and to test the main tenets of the cognitive model of OCD. Specifically, we assessed: (1) the prevalence of OITs experienced by young children; (2) their frequency and content; (3) the emotions they evoke; (4) the reasons why they are upsetting; (5) how they are appraised (6) and what control strategies they use.MethodsForty-nine children (28 girls, 21 boys; mean age 9.1 years) from the community completed two self-report questionnaires assessing anxiety and obsessive-compulsive symptoms. Children were interviewed using the Children's Anxious Thoughts Interview, which assessed their experiences of OITs.ResultsFrom the 49 participants, 71.43% reported having experienced at least one OIT. The most frequent contents related to harm and doubt. Of the total sample, 28.6% reported having experienced one OIT recently with at least moderate frequency; these participants reported higher anxiety and obsessive-compulsive interference, described feeling nervous and anxious when experiencing their OIT, and rated their OIT as highly important and distracting. The most frequently reported control strategies were cognitive - suppression, distraction and thought replacement.ConclusionsAlmost two thirds of community children reported experiencing OITs. The findings from this study provide preliminary support for the application of the cognitive model of OCD in children. Subtle differences from previous research with adults are discussed.
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Project description:ObjectiveThere is currently no structured interview tool developed that comprehensively evaluates self-injurious thoughts and behaviors (SITB) in Korea. The Self-injurious Thoughts and Behaviors Interview (SITBI) collectively measures suicidal ideation, plans, gestures, attempts, and non-suicidal self-injuries (NSSI). The SITBI's reliability and validity have been established with it being widely used in English speaking countries. This study evaluated the psychometric validity of the Korean version of the SITBI (SITBI-K).MethodsThe SITBI's validity as a diagnostic assessment tool for NSSI and suicidal behavior disorder (SBD), as defined by the Diagnostic and Statistical Manual of Mental Disorders-5th edition, was examined. Analyses were performed on 108 university students reporting experiences of suicidal thoughts and behaviors (female 84.26%, mean age=22.10, ±SD 3.33).ResultsThe SITBI-K displayed excellent interrater reliability, with a credible test-retest reliability at two months. Construct validity examined the correlation between the SITBI-K's modules and approved the self-report results. Appropriate convergent and discriminant validities were obtained for suicidal ideation, plans, gestures, attempts, and NSSI.ConclusionThe SITBI-K showed excellent psychometric validity at a level comparable to the original. Its clinical utility for both NSSI and SBD diagnoses was confirmed.
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Project description:Serotonin [5-hydroxytryptamine (5-HT)] has a truly fascinating history in the cardiovascular world. Discovered in the blood, 5-HT has long been appropriately regarded as a vasoconstrictor. A multitude of in vitro studies of isolated vessels support that addition of 5-HT causes vascular contraction. In only a few cases was 5-HT a vasodilator. Moreover, the potency and threshold of 5-HT causing contraction is increased in arteries from hypertensive vs. normotensive subjects, both animal and human. As such, we and others have hypothesized that 5-HT would contribute to hypertension by elevating arterial tone. In stark contrast to these decades of findings, we observed that a chronic infusion of 5-HT into conscious rats caused a reduction in blood pressure and nearly normalized blood pressure of experimentally hypertensive rats. Going back to the early work of Irvine Page, one of the scientists who discovered 5-HT, reveals an early recognized but never understood ability of 5-HT to reduce systemic blood pressure. Our laboratory, in collaboration with colleagues around the world, has dedicated itself to understanding the mechanisms of 5-HT-induced reduction in blood pressure. This manuscript takes you through a brief history of the discovery of 5-HT, in vitro serotonergic pharmacology of blood vessels, in vivo work with 5-HT and our studies that suggests the venous vasculature, potentially in combination with small arterioles, may be important to the actions of 5-HT in reducing blood pressure. 5-HT has certainly ended up in a place I never expected it to go.
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Project description:ObjectivePrediction of disease phenotypes and their outcomes is a difficult task. In practice, patients routinely seek second opinions from multiple clinical experts for complex disease diagnosis. Our objective is to mimic such a practice of seeking second opinions by training 2 agents with different focuses: the primary agent studies the most recent visit of the patient to learn the current health status, and then the second-opinion agent considers the entire patient history to obtain a more global view.Materials and methodsOur approach Dr. Agent augments recurrent neural networks with 2 policy gradient agents. Moreover, Dr. Agent is customized with various patient demographics information and learns a dynamic skip connection to focus on the relevant information over time. We trained Dr. Agent to perform 4 clinical prediction tasks on the publicly available MIMIC-III (Medical Information Mart for Intensive Care) database: (1) in-hospital mortality prediction, (2) acute care phenotype classification, (3) physiologic decompensation prediction, and (4) forecasting length of stay. We compared the performance of Dr. Agent against 4 baseline clinical predictive models.ResultsDr. Agent outperforms baseline clinical prediction models across all 4 tasks in terms of all metrics. Compared with the best baseline model, Dr. Agent achieves up to 15% higher area under the precision-recall curve on different tasks.ConclusionsDr. Agent can comprehensively model the long-term dependencies of patients' health status while considering patients' demographics using 2 agents, and therefore achieves better prediction performance on different clinical prediction tasks.
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