Periostin Is a Biomarker for Anterior Shoulder Instability: Proteomic Analysis of Synovial Fluid.

BACKGROUND: The incremental biological changes in the synovial microenvironment of the shoulder in acute and chronic instability that may contribute to joint degeneration are poorly understood. Proteomic analysis of synovial fluid in patients with shoulder instability may improve our understanding of proteins that are shed into shoulder synovial fluid after an injury. HYPOTHESIS: Injury-specific factors such as the direction of instability and the severity of glenoid and humeral bone loss are associated with the proteome of synovial fluid in patients with shoulder instability. STUDY DESIGN: Descriptive laboratory study. METHODS: Synovial fluid lavage samples were compared between patients with anterior (n = 12) and posterior (n = 8) instability and those without instability (n = 5). Synovial proteins were identified with liquid chromatography-tandem mass spectrometry. Orthogonal validation of protein targets found to be significant on tandem mass spectrometry was performed in a separate set of prospective patients with Western blotting. Data were processed and analyzed, and P values were adjusted with the Benjamini-Hochberg method for multiple comparisons. RESULTS: A total of 25 patients were included. Tandem mass spectrometry identified 720 protein groups in synovial fluid of patients with shoulder instability. There were 4 synovial proteins that were significantly expressed in patients with anterior instability relative to posterior instability: periostin (POSTN) (adjusted P value = .03; log fold change [logFc] = 4.7), transforming growth factor beta-induced protein ig-h3 (adjusted P value = .05; logFc = 1.7), collagen type VI alpha-3 chain (adjusted P value = .04; logFc = 2.6), and coagulation factor V (adjusted P value = .04; logFc = -3.3). Among these targets, POSTN showed a moderate correlation with the Hill-Sachs lesion size (r = 0.7). Prospective validation with Western blotting confirmed a significantly higher level of POSTN in synovial fluid of patients with anterior instability (P = .00025; logFc = 5.1). CONCLUSION: Proteomic analysis enriched our understanding of proteins that were secreted into shoulder synovial fluid of patients with shoulder instability. The identification of POSTN, a proinflammatory catabolic protein involved with tissue remodeling and repair, as a significant target in anterior shoulder instability is a novel finding. Therefore, further study is warranted to determine the role that POSTN may play in the progression of bone loss and posttraumatic osteoarthritis. CLINICAL RELEVANCE: Proteomic analysis of synovial fluid in patients with shoulder instability improved our understanding of this abnormality after an injury.

A qualitative study of stakeholder views on the use of a digital app for supported self-management in early intervention services for psychosis.

BACKGROUND: Digital tools such as Smartphones have the potential to increase access to mental health support including self-management interventions for individuals with psychosis, and ultimately to improve outcomes. Self-management strategies, including relapse prevention and crisis planning and setting personal recovery goals, are intended to assist people with long-term conditions to take an active role in their recovery, with evidence for a range of benefits. However, their implementation is inconsistent, and access and uptake need to be improved. The current study explores the acceptability of a Smartphone app (My Journey 3) that has been developed to facilitate supported self-management in Early Intervention in Psychosis (EIP) services. METHODS: Semi-structured one-to-one interviews were conducted with twenty-one EIP service users who had access to My Journey 3 as part of a feasibility trial, and with thirteen EIP service clinicians who were supporting service users with the app. Interviews focused on the acceptability and usability of My Journey 3. Data was coded to themes based on the Acceptability of Healthcare Interventions framework. RESULTS: Many service user participants found My Journey 3 to be acceptable. The symptom and medication trackers in particular were described as helpful. A smaller number of service users disliked the intervention. Individual-level factors that appeared to influence acceptability and engagement included recovery stage and symptom severity. Clinicians tended to report that My Journey 3 was a potentially positive addition to service users' care, but they often felt unable to provide support due to competing demands in their work, which in turn may have impacted acceptability and usage of the app. CONCLUSIONS: Our findings suggest that the app is perceived as having potential to improve users' capacity to self-manage and work towards recovery goals, but barriers prevented many clinicians providing consistent and effective support as intended. Further evaluation of supported self-management apps in psychosis is warranted but needs to address implementation challenges from the start.

Transitioning to age inclusive early intervention for psychosis.

AIM: Early Intervention in psychosis Services (EIS) have previously restricted access based on age. However, there is now a move to age inclusive service. We aimed to examine differences between early and late onset (>35 years) psychosis to see if a threshold was valid. We also investigated the potential of a statistical modelling method to identify group characteristics which may be missed using a descriptive approach. METHODS: Routine clinical data (n = 343), from an EIS, comprising socio-demographic, clinical, physical and treatment variables, were examined using descriptive and classification and regression tree (CART) analysis. RESULTS: The findings suggest that age differences were best explained by social factors. There was no emerging evidence that the differences exhibited had a fundamental impact on the clinical outcomes of the clients in terms of support beyond EIS (ie, hospitalization and home treatment team involvement) and pharmacological and psychological interventions. CART analysis revealed distinct service user characteristics associated with the clinical outcomes. CONCLUSION: There was no evidence to support a clinical cut off based on age providing support for age inclusive services. However, in the transition to age inclusive service delivery, EIS need to consider social/life stage variables, adapting provision where service delivery may operate a youth focused model. Routine analysis of clinical data should employ methods to identify groups of service users who may require adjusted service provision.