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Introduction: The comorbidity between depression and anxiety is a common occurrence. The DSM-5 introduced the "anxious distress" (AD) specifier that can be applied to any depressive episode – both in major depressive disorder (MDD) and bipolar disorder (BD) – when symptoms such as feelings of tension, restlessness, difficulty concentrating, and fear that something awful may happen or to lose control are present. Longitudinal data showed that the AD specifier may be an effective predictor of chronicity, time to remission, and functional disability in depressive disorders. In addition, evidence on AD proved its association with increased depressive symptom severity. Objectives: Available literature seems to suggest that AD occurs in a specific subgroup of patients, thus enabling a peculiar clinical profile to be outlined. To expand knowledge in this field, we performed a cross-sectional study aimed at identifying clinical correlates of AD in people with major depressive episodes. Methods: Adult people admitted to two psychiatric inpatient units in the northern area of the Metropolitan City of Milan from May 2020 to December 2022 were screened for a major depressive episode and relevant specifiers using the Structured Clinical Interview for DSM-5 (SCID-5). Data on socio-demographic and clinical variables were collected. The severity of depressive and manic symptoms was assessed using the Montgomery–Åsberg Depression Rating Scale (MADRS) and Young Mania Rating Scale (YMRS), respectively. Univariate comparisons between participants with and without AD were conducted, and two multiple logistic regression models were arranged to investigate the association between AD and candidate explanatory variables. Results: We included 206 inpatients with a major depressive episode (mean age =48.4 ± 18.6 years; males = 38.8%), of whom 155 diagnosed with MDD and 51 with BD. AD was present in 137 participants (66.5%). Mixed features (p=0.049), higher YMRS scores (p=0.004), psychotic features (p<0.05), and a diagnosis of MDD (p<0.05) were found to be associated with AD in the multiple logistic regression analysis. Conclusions: Notwithstanding some limitations, such as the cross-sectional design and the inclusion of inpatient only, our study highlights the association of AD with mixed and psychotic features, as well as with MDD. Clinical implications of these results include the possible contribution in delineating a specific symptom profile in people with AD during a major depressive episode. Disclosure of Interest: None Declared [ABSTRACT FROM AUTHOR]

The advent of computerized medical recording systems in healthcare facilities has made data retrieval tasks easier, compared to manual recording. Nevertheless, the potential of the information contained within medical records remains largely untapped, mostly due to the time and effort required to extract data from unstructured documents. Natural Language Processing (NLP) represents a promising solution to this challenge, as it enables the use of automated text-mining tools for clinical practitioners. In this work, we present the architecture of the Virtual Dementia Institute (IVD), a consortium of sixteen Italian hospitals, using the NLP Extraction and Management Tool (NEMT), a (semi-) automated end-to-end pipeline that extracts relevant information from clinical documents and stores it in a centralized REDCap database. After defining a common Case Report Form (CRF) across the IVD hospitals, we implemented NEMT, the core of which is a Question Answering Bot (QABot) based on a modern NLP model. This QABot is fine-tuned on thousands of examples from IVD centers. Detailed descriptions of the process to define a common minimum dataset, Inter-Annotator Agreement calculated on clinical documents, and NEMT results are provided. The best QABot performance show an Exact Match score (EM) of 78.1%, a F1-score of 84.7%, a Lenient Accuracy (LAcc) of 0.834, and a Mean Reciprocal Rank (MRR) of 0.810. EM and F1 scores outperform the same metrics obtained with ChatGPTv3.5 (68.9% and 52.5%, respectively). With NEMT the IVD has been able to populate a database that will contain data from thousands of Italian patients, all screened with the same procedure. NEMT represents an efficient tool that paves the way for medical information extraction and exploitation for new research studies.

Objectives: The aim of this study was to perform a descriptive analysis of oropharyngeal adverse events (AEs) related to drugs and/or vaccines in order to provide useful information for clinicians., Methods: Data related to three regions of Italy were analyzed from 2019 to 2021 by using the National Pharmacovigilance database., Results: Among overall 67,384 cases, 2773 (4.1%) reported at least one oropharyngeal AE. Most cases referred to females (71.0%) and adults (70.8%). The majority of cases were reported as not serious (68.4%) and the outcome was mainly positive (73.5%). The cases related to drugs (52.2%) were slightly more than those related to vaccines (47.8%), the latter nearly completely represented by COVID-19 vaccines. Among 3324 oropharyngeal AEs, the most commonly reported were oropharyngeal conditions (65.9%). The most reported AEs related to vaccines were paresthesia oral and oropharyngeal pain, whereas the most reported AEs related to drugs were throat tightness and angioedema. A marked under-reporting of osteonecrosis of the jaw (2.9%) was observed, despite this risk was well documented in the same country., Conclusions: This analysis suggested an under-reporting of oropharyngeal AEs and the need to better train dentists, dental hygienists, and also general practitioners., (© 2024 The Author(s). Oral Diseases published by John Wiley & Sons Ltd.)

Objective: This study aimed to determine whether invisible social control provided by a romantic partner is associated with improved objective glucose outcomes for patients with Type 2 diabetes. Social control reflects a partner's attempt to modify or influence a patient's health behaviors. We hypothesized that the best outcome for all continuous glucose monitoring measures would be captured by an interaction condition reflecting invisible social control., Method: Patients with Type 2 diabetes and their partners ( N = 63 couples) completed an 8-day daily diary period between 2016 and 2017. Self-report measures of social control receipt and provision were obtained each evening from patients and partners and patients wore a continuous glucose monitor throughout the diary period. Outcomes of daily glucose mean, standard deviation, time in range, and coefficient of variation were computed and two-way interactions between social control receipt and social control provision were probed and plotted., Results: The two-way interaction significantly predicted daily glucose mean, standard deviation, and time in range, such that when patients reported no social control receipt, but partners reported social control provision, patients showed improvements in objective glucose measures. We found no significant effect for coefficient of variation., Conclusions: This study was the first to use an invisible social control framework to examine the daily dyadic associations between partner social control provision, patient social control receipt, and four objectively measured continuous glucose monitoring outcomes. Findings suggest that the visibility of social control provided by a romantic partner may be predictive of glycemic control in patients with Type 2 diabetes. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Purpose: Partners of breast cancer (BC) survivors report high rates of psychological distress including fear of cancer recurrence (FCR). Research suggests that partners may have poorer physical health outcomes than the general population, but little research has examined the physiological biomarkers by which distress may impact partner health outcomes. The current study examined the associations between FCR and changes in hair cortisol among BC partners., Methods: Male partners (N = 73) of early-stage BC survivors provided hair samples during two visits, one after completion of survivors' adjuvant treatment (T1) and again 6 months later (T2). Two subscales from the Fear of Cancer Recurrence Inventory and one subscale from the Concerns about Recurrence Scale comprised a latent FCR factor at T1. A latent change score model was used to examine change in cortisol as a function of FCR., Results: Partners were on average 59.65 years of age (SD = 10.53) and non-Hispanic White (83%). Latent FCR at T1 was positively associated (b = 0.08, SE = 0.03, p = .004, standardized β = .45) with change in latent hair cortisol from T1 to T2., Conclusions: Results indicated that greater FCR was associated with increases in hair cortisol in the months following adjuvant treatment. This is one of the first studies to examine the physiological correlates of FCR that may impact health outcomes in BC partners., Implications for Cancer Survivors: Findings highlight the need for further research into the relationship between FCR and its physiological consequences. Interventions to address partner FCR are needed and may aid in improving downstream physical health outcomes., (© 2024. The Author(s).)

The widespread and increasing use of plastic-based goods in the present-day world has been raising many concerns about the formation of microplastics, their release, their impacts on the environment and, ultimately, on living organisms. These concerns are even greater regarding nanoplastics, i.e., nanosized microplastics, which may have even greater impacts. In this brief review, although without any claim or intention to exhaustively cover all the aspects of such a complex and many-sided issue, the very topical problem of the formation of microplastics, and the even more worrisome nanoplastics, from polymer-based products was considered. The approach is focused on a terse, straightforward, and easily accessible analysis oriented to the main technological engineering aspects regarding the sources of microplastics and nanoplastics released into the environment, their nature, some of the consequences arising from the release, the different polymers involved, their technological form (i.e., products or processes, with particular attention towards unintentional release), the formation mechanisms, and some possible mitigation pathways.

Restless Legs Syndrome (RLS) is a common sleep disorder characterized by an urge to move the legs that is responsive to movement (particularly during rest), periodic leg movements during sleep, and hyperarousal. Recent evidence suggests that the involvement of the adenosine system may establish a connection between dopamine and glutamate dysfunction in RLS. Transcranial magnetic stimulation (TMS) is a non-invasive electrophysiological technique widely applied to explore brain electrophysiology and neurochemistry under different experimental conditions. In this pilot study protocol, we aim to investigate the effects of dipyridamole (a well-known enhancer of adenosinergic transmission) and caffeine (an adenosine receptor antagonist) on measures of cortical excitation and inhibition in response to TMS in patients with primary RLS. Initially, we will assess cortical excitability using both single- and paired-pulse TMS in patients with RLS. Then, based on the measures obtained, we will explore the effects of dipyridamole and caffeine, in comparison to placebo, on various TMS parameters related to cortical excitation and inhibition. Finally, we will evaluate the psycho-cognitive performance of RLS patients to screen them for cognitive impairment and/or mood-behavioral dysfunction, thus aiming to correlate psycho-cognitive findings with TMS data. Overall, this study protocol will be the first to shed lights on the neurophysiological mechanisms of RLS involving the modulation of the adenosine system, thus potentially providing a foundation for innovative "pharmaco-TMS"-based treatments. The distinctive TMS profile observed in RLS holds indeed the potential utility for both diagnosis and treatment, as well as for patient monitoring. As such, it can be considered a target for both novel pharmacological (i.e., drug) and non-pharmacological (e.g., neuromodulatory), "TMS-guided", interventions., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Lanza et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Objective: Most people with major depressive episodes meet the criteria for the anxious distress (AD) specifier defined by DSM-5 as the presence of symptoms such as feelings of tension, restlessness, difficulty concentrating, and fear that something awful may happen. This cross-sectional study was aimed at identifying clinical correlates of AD in people with unipolar or bipolar depression., Methods: Inpatients with a current major depressive episode were included. Data on socio-demographic and clinical variables were collected. The SCID-5 was used to diagnose depressive episodes and relevant specifiers. The Montgomery-Åsberg Depression Rating Scale (MADRS) and Young Mania Rating Scale (YMRS) were used to assess the severity of depressive and manic (mixed) symptoms, respectively. Multiple logistic regression analyses were carried out to identify clinical correlates of AD., Results: We included 206 people (mean age: 48.4 ± 18.6 yrs.; males: 38.8%) admitted for a major depressive episode (155 with major depressive disorder and 51 with bipolar disorder). Around two-thirds of the sample (N = 137; 66.5%) had AD. Multiple logistic regression models showed that AD was associated with mixed features, higher YMRS scores, psychotic features, and a diagnosis of major depressive disorder ( p  < 0.05)., Conclusion: Despite some limitations, including the cross-sectional design and the inpatient setting, our study shows that AD is likely to be associated with mixed and psychotic features, as well as with unipolar depression. The identification of these clinical domains may help clinicians to better contextualize AD in the context of major depressive episodes.