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A good life with psychosis: Rate of positive outcomes in first-episode psychosis at 10-year follow-up
Get PDF© The Author(s), 2024. Published by
Cambridge University Press. This is an Open
Access article, distributed under the terms of
the Creative Commons Attribution licence
(http://creativecommons.org/licenses/by/4.0/),
which permits unrestricted re-use, distribution
and reproduction, provided the original article
is properly cited.BACKGROUND: More knowledge about positive outcomes for people with first-episode psychosis (FEP) is needed. An FEP 10-year follow-up study investigated the rate of personal recovery, emotional wellbeing, and clinical recovery in the total sample and between psychotic bipolar spectrum disorders (BD) and schizophrenia spectrum disorders (SZ); and how these positive outcomes overlap. METHODS: FEP participants (n = 128) were re-assessed with structured clinical interviews at 10-year follow-up. Personal recovery was self-rated with the Questionnaire about the Process of Recovery-15-item scale (total score ⩾45). Emotional wellbeing was self-rated with the Life Satisfaction Scale (score ⩾5) and the Temporal Experience of Pleasure Scale (total score ⩾72). Clinical recovery was clinician-rated symptom-remission and adequate functioning (duration minimum 1 year). RESULTS: In FEP, rates of personal recovery (50.8%), life satisfaction (60.9%), and pleasure (57.5%) were higher than clinical recovery (33.6%). Despite lower rates of clinical recovery in SZ compared to BD, they had equal rates of personal recovery and emotional wellbeing. Personal recovery overlapped more with emotional wellbeing than with clinical recovery (χ(2)). Each participant was assigned to one of eight possible outcome groups depending on the combination of positive outcomes fulfilled. The eight groups collapsed into three equal-sized main outcome groups: 33.6% clinical recovery with personal recovery and/or emotional wellbeing; 34.4% personal recovery and/or emotional wellbeing only; and 32.0% none. CONCLUSIONS: In FEP, 68% had minimum one positive outcome after 10 years, suggesting a good life with psychosis. This knowledge must be shared to instill hope and underlines that subjective and objective positive outcomes must be assessed and targeted in treatment
Common pitfalls, and how to avoid them, in child and adolescent psychopharmacology: Part I
Get PDF© The Author(s) 2024.
Creative Commons License (CC BY 4.0)
This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).As Faculty of the British Association for Psychopharmacology course on child and adolescent psychopharmacology, we present here what we deem are the most common pitfalls, and how to avoid them, in child and adolescent psychopharmacology. In this paper, we specifically addressed common pitfalls in the pharmacological treatment of attention-deficit/hyperactivity disorder, anxiety, bipolar disorder, depression, obsessive-compulsive disorder and related disorders, and tic disorder. Pitfalls in the treatment of other disorders are addressed in a separate paper (part II).https://journals.sagepub.com/doi/full/10.1177/0269881124123958
Using electronic health records to facilitate precision psychiatry
Get PDFª 2024 Society of Biological Psychiatry. This is an open access article under the
CC BY license (http://creativecommons.org/licenses/by/4.0/)The use of clinical prediction models to produce individualised risk estimates can facilitate the implementation of precision psychiatry. As a source of data from large, clinically representative patient samples, electronic health records (EHRs) provide a platform to develop and validate clinical prediction models, as well as potentially implementing them in routine clinical care. The present review describes promising use cases for the application of precision psychiatry to EHR data and considers their performance in terms of discrimination (ability to separate individuals with and without the outcome) and calibration (extent to which predicted risk estimates correspond to observed outcomes), as well as their potential clinical utility (weighing benefits and costs associated with the model compared to different approaches across different assumptions of the number-needed-to-test). We review four externally validated clinical prediction models designed to predict, respectively: psychosis onset, psychotic relapse, cardiometabolic morbidity, and suicide risk. We then discuss the prospects for clinically implementing these models, and the potential added value of integrating data from evidence syntheses, standardised psychometric assessments, and biological data into EHRs. Clinical prediction models can utilise routinely collected EHR data in an innovative way, representing a unique opportunity to inform real-world clinical decision making. Combining data from other sources (e.g. meta-analyses) or enhancing EHR data with information from research studies (clinical and biomarker data) may enhance our abilities to improve performance of clinical prediction models.https://www.sciencedirect.com/science/article/pii/S000632232401107
Using a Novel Gameplay Intervention to Target Intrusive Memories After Work-Related Trauma: Iterative Qualitative Analysis of Intensive Care Unit Staff Experiences
Get PDF©Priya Patel, Susan Brown, Boliang Guo, Emily A Holmes, Lalitha Iyadurai, Jonathan Kingslake, Julie Highfield, Richard
Morriss. Originally published in JMIR Formative Research (https://formative.jmir.org), 29.02.2024. This is an open-access article
distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which
permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR
Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on
https://formative.jmir.org, as well as this copyright and license information must be included.BACKGROUND: Many intensive care unit (ICU) staff experience intrusive memories following work-related traumatic events, which can lead to long-term mental health outcomes and impact work functioning. There is a need for interventions that target intrusive memories in this population; however, factors such as mental health stigma and difficulty in fitting interventions into busy schedules can pose barriers. The Brief Gameplay Intervention For National Health Service Intensive Care Unit Staff Affected By COVID-19 Trauma (GAINS) study tested a brief, digital imagery-competing task intervention (including computer gameplay) with the aim of reducing the recurrence of intrusive memories, which holds promise for overcoming some of these barriers. OBJECTIVE: This substudy aims to explore barriers and facilitators to the uptake and practical use of the intervention by ICU staff, along with its acceptability, and iteratively explore the impact of intervention optimizations to further refine the intervention. METHODS: The GAINS study is a randomized controlled trial comparing access to a brief digital imagery-competing task intervention for 4 weeks with usual care followed by delayed access to the intervention. The participants were ICU staff who worked during the COVID-19 pandemic and experienced intrusive memories. All participants were sent a questionnaire at 4 weeks to gather data about intervention acceptability. Nested within the randomized controlled trial, a subset of 16 participants was interviewed, and data were analyzed using thematic analysis drawing from a framework approach. RESULTS: Both quantitative and qualitative data indicated high acceptability of the intervention. Intervention use data show that, on average, staff were able to target approximately 73% (3.64/4.88) of their intrusive memories and engaged with the Tetris component for the full 20 minutes per session. Overall, on the acceptability questionnaire, staff found the intervention easy to use, helpful, and highly acceptable. The interviews generated four themes: approach to the intervention, positives of the intervention, negatives of the intervention, and improvements and optimizations. Findings highlighted barriers that ICU staff experienced: stigma, feeling weak for seeking help, not wanting colleagues to know they were struggling, and skepticism. However, they provided suggestions on how barriers could be overcome and discussed the advantages of the intervention when compared with other treatments. Although participants described many positive aspects of the intervention, such as being easy to use, enjoyable, and leading to a reduction in the frequency or intensity of intrusive memories, they also raised practical issues for implementation. CONCLUSIONS: The intervention has the potential to overcome stigma and reduce the frequency of intrusive memories after traumatic events among ICU staff. Further refinement is needed to improve the adoption and reach of this intervention. A limitation is that we could not interview the National Health Service staff who were unable or unwilling to take part in the trial.https://formative.jmir.org/2024/1/e4745
Frequency and reporting of complications after Dupuytren's contracture interventions: A systematic review and meta-analysis.
No full textINTRODUCTION: Numerous complications are reported following interventions for Dupuytren's contracture; however, their incidence, management, and outcomes remain poorly reported. The aims of this review were to report the proportions of complications, compare likelihood of complications between interventions, and evaluate reporting of complications, including assessment, grading, management, and subsequent reporting of their impact on patient outcomes. METHODS: Extracted data included patient demographics, intervention details, complications, their management, and final outcomes. Analysis of descriptive data enabled review of complications reporting. Meta-analysis(MA) of non-comparative datasets enabled estimation of proportions of patients experiencing complications. Network meta-analysis(NMA) of comparative studies estimated the relative occurrence of complications between interventions. Risk of bias analysis was performed. RESULTS: 26 studies, comprising 10,831 patients, were included. Interventions included collagenase injection, percutaneous needle fasciotomy(PNF), limited fasciectomy(LF), open fasciotomy(OF), and dermofasciectomy(DF). Overall quality and consistency of outcomes reporting was poor. MA enabled estimates of probabilities for three common complications(infection, nerve injury, complex regional pain syndrome(CRPS)) across all interventions; the reported rates for LF were 4.5% for infection, 3% for nerve injury, and 3.3% for CRPS. As the commonest intervention, LF was used as the reference intervention for comparison of the commonest complications via NMA, including haematoma [OF OR 0.450(0.277, 0.695); PNF OR 0.245(0.114, 0.457)], infection [PNF OR 0.2(0.0287, 0.690); DF OR 2.02(1.02, 3.74)], and neuropraxia [PNF OR 0.0926(0.00553, 0.737)]. We noted that the complication incidence was higher the more invasive the intervention. CONCLUSIONS: There was limited reporting of complication occurrence, management, and outcomes following interventions, contributing to a gap in information for informed patient consent. MA was possible for reporting of proportions for infection, nerve injury, and CRPS across interventions. NMA enabled direct comparison of the six commonest complications between interventions. These findings can guide intervention selection. Improving consistency and quality in complications reporting is essential to aid counselling of patients regarding the true rates and consequences of the risks of interventions. TYPE OF STUDY/LEVEL OF EVIDENCE: 2
Frequency and reporting of complications after Dupuytren's contracture interventions: a systematic review and meta-analysis
No full textIntroduction: Numerous complications are reported following interventions for Dupuytren's contracture; however, their incidence, management, and outcomes remain poorly reported. The aims of this review were to report the proportions of complications, compare likelihood of complications between interventions, and evaluate reporting of complications, including assessment, grading, management, and subsequent reporting of their impact on patient outcomes. Methods: Extracted data included patient demographics, intervention details, complications, their management, and final outcomes. Analysis of descriptive data enabled review of complications reporting. Meta-analysis(MA) of non-comparative datasets enabled estimation of proportions of patients experiencing complications. Network meta-analysis(NMA) of comparative studies estimated the relative occurrence of complications between interventions. Risk of bias analysis was performed. Results: 26 studies, comprising 10,831 patients, were included. Interventions included collagenase injection, percutaneous needle fasciotomy(PNF), limited fasciectomy(LF), open fasciotomy(OF), and dermofasciectomy(DF). Overall quality and consistency of outcomes reporting was poor. MA enabled estimates of probabilities for three common complications(infection, nerve injury, complex regional pain syndrome(CRPS)) across all interventions; the reported rates for LF were 4.5% for infection, 3% for nerve injury, and 3.3% for CRPS. As the commonest intervention, LF was used as the reference intervention for comparison of the commonest complications via NMA, including haematoma [OF OR 0.450(0.277, 0.695); PNF OR 0.245(0.114, 0.457)], infection [PNF OR 0.2(0.0287, 0.690); DF OR 2.02(1.02, 3.74)], and neuropraxia [PNF OR 0.0926(0.00553, 0.737)]. We noted that the complication incidence was higher the more invasive the intervention. Conclusions: There was limited reporting of complication occurrence, management, and outcomes following interventions, contributing to a gap in information for informed patient consent. MA was possible for reporting of proportions for infection, nerve injury, and CRPS across interventions. NMA enabled direct comparison of the six commonest complications between interventions. These findings can guide intervention selection. Improving consistency and quality in complications reporting is essential to aid counselling of patients regarding the true rates and consequences of the risks of interventions. Type of study/level of evidence: 2.https://journals.lww.com/plasreconsurg/abstract/9900/frequency_and_reporting_of_complications_after.2296.asp
Myocardial scar and remodelling predict long-term mortality in severe aortic stenosis beyond 10 years
No full texthttps://academic.oup.com/eurheartj/advance-article/doi/10.1093/eurheartj/ehae067/7589139?login=fals
CJEM Debate Series: #TriageAgain-are current triage methods dangerous?… if we cannot actually treat those triaged as urgent within a safe time frame?
No full texthttps://link.springer.com/article/10.1007/s43678-024-00681-
Methodological development of molecular endotype discovery from synovial fluid of individuals with knee osteoarthritis: the STEpUP OA Consortium
No full textObjectives To develop and validate a pipeline for quality controlled (QC) protein data for largescale analysis of synovial fluid (SF), using SomaLogic technology. Design Knee SF and associated clinical data were from partner cohorts. SF samples were centrifuged, supernatants stored at −80 °C, then analysed by SomaScan Discovery Plex V4.1 (>7000 SOMAmers/proteins). Setting An international consortium of 9 academic and 8 commercial partners (STEpUP OA). Participants 1746 SF samples from 1650 individuals comprising OA, joint injury, healthy controls and inflammatory arthritis controls, divided into discovery (n=1045) and replication (n=701) datasets. Primary and secondary outcome measures An optimised approach to standardisation was developed iteratively, monitoring reliability and precision (comparing coefficient of variation [%CV] of ‘pooled’ SF samples between plates and correlation with prior immunoassay for 9 analytes). Pre-defined technical confounders were adjusted for (by Limma) and batch correction was by ComBat. Poorly performing SOMAmers and samples were filtered. Variance in the data was determined by principal component (PC) analysis. Data were visualised by Uniform Manifold Approximation and Projection (UMAP). Results Optimal SF standardisation aligned with that used for plasma, but without median normalisation. There was good reliability (80% of SOMAmers in pooled samples) and overall good correlation with immunoassay. PC1 accounted for 48% of variance and strongly correlated with individual SOMAmer signal intensities (median correlation coefficient 0.70). These could be adjusted using an ‘intracellular protein score’. PC2 (7% variance) was attributable to processing batch and was batch-corrected by ComBat. Lesser effects were attributed to other technical confounders. Data visualisation by UMAP revealed clustering of injury and OA cases in overlapping but distinguishable areas of high-dimensional proteomic space. Conclusions We define a standardised approach for SF analysis using the SOMAscan platform and identify likely ‘intracellular’ protein as being a major driver of variance in the data
Identifying clusters of objective functional impairment in patients with degenerative lumbar spinal disease using unsupervised learning.
No full textOBJECTIVES: The five-repetition sit-to-stand (5R-STS) test was designed to capture objective functional impairment (OFI), and thus provides an adjunctive dimension in patient assessment. It is conceivable that there are different subsets of patients with OFI and degenerative lumbar disease. We aim to identify clusters of objectively functionally impaired individuals based on 5R-STS and unsupervised machine learning (ML). METHODS: Data from two prospective cohort studies on patients with surgery for degenerative lumbar disease and 5R-STS times of ≥ 10.5 s-indicating presence of OFI. K-means clustering-an unsupervised ML algorithm-was applied to identify clusters of OFI. Cluster hallmarks were then identified using descriptive and inferential statistical analyses. RESULTS: We included 173 patients (mean age [standard deviation]: 46.7 [12.7] years, 45% male) and identified three types of OFI. OFI Type 1 (57 pts., 32.9%), Type 2 (81 pts., 46.8%), and Type 3 (35 pts., 20.2%) exhibited mean 5R-STS test times of 14.0 (3.2), 14.5 (3.3), and 27.1 (4.4) seconds, respectively. The grades of OFI according to the validated baseline severity stratification of the 5R-STS increased significantly with each OFI type, as did extreme anxiety and depression symptoms, issues with mobility and daily activities. Types 1 and 2 are characterized by mild to moderate OFI-with female gender, lower body mass index, and less smokers as Type I hallmarks. CONCLUSIONS: Unsupervised learning techniques identified three distinct clusters of patients with OFI that may represent a more holistic clinical classification of patients with OFI than test-time stratifications alone, by accounting for individual patient characteristics