Who is at risk for weight gain after weight-gain associated treatment with antipsychotics, antidepressants, and mood stabilizers: A machine learning approach.

BACKGROUND: Weight gain is a common side effect in psychopharmacology; however, targeted therapeutic interventions and prevention strategies are currently absent in day-to-day clinical practice. To promote the development of such strategies, the identification of factors indicative of patients at risk is essential. METHODS: In this study, we developed a transdiagnostic model using and comparing decision tree classifiers, logistic regression, XGboost, and a support vector machine to predict weight gain of ≥5% of body weight during the first 4 weeks of treatment with psychotropic drugs associated with weight gain in 103 psychiatric inpatients. We included established variables from the literature as well as an extended set with additional clinical variables and questionnaires. RESULTS: Baseline BMI, premorbid BMI, and age are known risk factors and were confirmed by our models. Additionally, waist circumference has emerged as a new and significant risk factor. Eating behavior next to blood glucose were found as additional potential predictor that may underlie therapeutic interventions and could be used for preventive strategies in a cohort at risk for psychotropics induced weight gain (PIWG). CONCLUSION: Our models validate existing findings and further uncover previously unknown modifiable factors, such as eating behavior and blood glucose, which can be used as targets for preventive strategies. These findings underscore the imperative for continued research in this domain to establish effective preventive measures for individuals undergoing psychotropic drug treatments.

Structural and Functional Brain Patterns Predict Formal Thought Disorder's Severity and Its Persistence in Recent-Onset Psychosis: Results From the PRONIA Study.

BACKGROUND: Formal thought disorder (FThD) is a core feature of psychosis, and its severity and long-term persistence relates to poor clinical outcomes. However, advances in developing early recognition and management tools for FThD are hindered by a lack of insight into the brain-level predictors of FThD states and progression at the individual level. METHODS: Two hundred thirty-three individuals with recent-onset psychosis were drawn from the multisite European Prognostic Tools for Early Psychosis Management study. Support vector machine classifiers were trained within a cross-validation framework to separate two FThD symptom-based subgroups (high vs. low FThD severity), using cross-sectional whole-brain multiband fractional amplitude of low frequency fluctuations, gray matter volume and white matter volume data. Moreover, we trained machine learning models on these neuroimaging readouts to predict the persistence of high FThD subgroup membership from baseline to 1-year follow-up. RESULTS: Cross-sectionally, multivariate patterns of gray matter volume within the salience, dorsal attention, visual, and ventral attention networks separated the FThD severity subgroups (balanced accuracy [BAC] = 60.8%). Longitudinally, distributed activations/deactivations within all fractional amplitude of low frequency fluctuation sub-bands (BACslow-5 = 73.2%, BACslow-4 = 72.9%, BACslow-3 = 68.0%), gray matter volume patterns overlapping with the cross-sectional ones (BAC = 62.7%), and smaller frontal white matter volume (BAC = 73.1%) predicted the persistence of high FThD severity from baseline to follow-up, with a combined multimodal balanced accuracy of BAC = 77%. CONCLUSIONS: We report the first evidence of brain structural and functional patterns predictive of FThD severity and persistence in early psychosis. These findings open up avenues for the development of neuroimaging-based diagnostic, prognostic, and treatment options for the early recognition and management of FThD and associated poor outcomes.

Evaluation of Benign Breast Diseases With or Without Atypical Epithelial Hyperplasia Accompanying Radial Scars.

Objective: A radial scar (RS) is a benign breast lesion (BBL) that has an obscure etiology. RS is easily confused with breast carcinoma and therefore correct identification radiologically and pathologically is important. The aim of this study was to determine the incidence of atypical lesions by evaluating RS detected with BBL and to investigate whether atypia and RS are related to their characteristics. Materials and Methods: A total of 1.370 patients with a diagnosis of BBL postoperatively in a single department were analyzed retrospectively. Forty-six confirmed RS/complex sclerosing lesion (CSL) cases were selected. The demographic and clinical characteristics of the patients and the relationship between RS and other BBL were evaluated. In addition, the relationship between RS/CSL and the presence of atypia was interpreted. Results: The mean age was 45.17±8.72 years. Spiculated lesion (34.8%) on mammography and microcalcification (37%) on histopathological examination were the most common features. The most common BBL accompanying RS/CSL was adenosis. Atypical epithelial hyperplasia (AEH) was presented in 15 (32.6%) of those diagnosed with RS. Although all patients were benign, the frequency of AEH accompanying RS was found to be significantly higher. The mean size of RS was 10.8±8.4 mm (2-30 mm). The size of RS/CSL was not significantly associated with atypia. Conclusion: RS/CSLs usually present as suspicious lesions that must be distinguished radiologically from malignancy. However RS, which can be present with malign breast lesions, can be also seen with all BBL. Therefore, core biopsy and/or excisional biopsy continue to be important for definitive histopathological diagnosis.

Conditioned Hallucinations and Prior Overweighting Are State-Sensitive Markers of Hallucination Susceptibility.

BACKGROUND: Recent advances in computational psychiatry have identified latent cognitive and perceptual states that predispose to psychotic symptoms. Behavioral data fit to Bayesian models have demonstrated an overreliance on priors (i.e., prior overweighting) during perception in select samples of individuals with hallucinations, corresponding to increased precision of prior expectations over incoming sensory evidence. However, the clinical utility of this observation depends on the extent to which it reflects static symptom risk or current symptom state. METHODS: To determine whether task performance and estimated prior weighting relate to specific elements of symptom expression, a large, heterogeneous, and deeply phenotyped sample of hallucinators (n = 249) and nonhallucinators (n = 209) performed the conditioned hallucination (CH) task. RESULTS: We found that CH rates predicted stable measures of hallucination status (i.e., peak frequency). However, CH rates were more sensitive to hallucination state (i.e., recent frequency), significantly correlating with recent hallucination severity and driven by heightened reliance on past experiences (priors). To further test the sensitivity of CH rate and prior weighting to symptom severity, a subset of participants with hallucinations (n = 40) performed a repeated-measures version of the CH task. Changes in both CH frequency and prior weighting varied with changes in auditory hallucination frequency on follow-up. CONCLUSIONS: These results indicate that CH rate and prior overweighting are state markers of hallucination status, potentially useful in tracking disease development and treatment response.

Measuring Voluntary Control Over Hallucinations: The Yale Control Over Perceptual Experiences (COPE) Scales.

Auditory verbal hallucinations (AVH) frequently cause significant distress and dysfunction, and may be unresponsive to conventional treatments. Some voice-hearers report an ability to fully control the onset and offset of their AVH, making them significantly less disruptive. Measuring and understanding these abilities may lead to novel interventions to enhance control over AVH. Fifty-two voice-hearers participated in the pilot study. 318 participants with frequent AVH participated in the validation study. A pool of 59 items was developed by a diverse team including voice-hearers and clinicians. After the pilot study, 35 items were retained. Factorial structure was assessed with exploratory (EFA, n = 148) and confirmatory (CFA, n = 170) factor analyses. Reliability and convergent validity were assessed using a comprehensive battery of validated phenomenological and clinical scales. CFA on the final 18 items supported two factors for a Methods of Control Scale (5 items each, average ω = .87), and one factor for a Degree of Control Scale (8 items, average ω = .95). Correlation with clinical measures supported convergent validity. Degree of control was associated with positive clinical outcomes in voice-hearers both with and without a psychosis-spectrum diagnosis. Degree of control also varied with quality of life independently of symptom severity and AVH content. The Yale control over perceptual experiences (COPE) Scales robustly measure voice-hearers' control over AVH and exhibit sound psychometric properties. Results demonstrate that the capacity to voluntarily control AVH is independently associated with positive clinical outcomes. Reliable measurement of control over AVH will enable future development of interventions meant to bolster that control.

Evaluation of subclinical inflammation in familial Mediterranean fever patients: relations with mutation types and attack status: a retrospective study.

Familial Mediterranean fever (FMF) is an autosomal recessive autoinflammatory disease of childhood and adulthood. Development of systemic amyloidosis and frequent attack influence quality of life and survival. There is sporadic evidence indicating subclinical inflammation in patients with FMF. We aimed to assess subclinical inflammation using neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and C-reactive protein (CRP) in pediatric patients with FMF in the attack-free period. In this retrospective study, we reviewed the files of all FMF patients in our pediatric rheumatology outpatient clinic in a tertiary center and enrolled those with sufficient clinical and laboratory data. We also enrolled 73 controls. We grouped the patients according to being in attack period or attack-free period. We compared CRP, NLR, PLR, and WBC (white blood cell) levels between different mutations and polymorphisms. We also compared patients in the attack period with those in attack-free period. We enrolled 61 patients in attack period, 509 patients in attack-free period, and 73 controls. There was no difference between patients with different mutations with respect to NLR or PLR levels in the attack-free period. However, CRP levels were higher in patients with homozygous exon 10 mutations, especially those with homozygous M694V mutations compared with other mutations. However, CRP levels were mostly normal in these patients. Our data are against the reported fact that patients with FMF have higher NLR or PLR levels in attack-free periods. However, CRP levels were higher in the presence of homozygous exon 10 mutations (in particular homozygous M694V mutations).