Fabio Catalano, Emanuela Leuci, Emanuela Quattrone, Derna Palmisano, Pietro Pellegrini, Simona Pupo, Marco Menchetti, Lorenzo Pelizza
{"title":"精神病和服务脱离的临床高风险:随访两年的发病率和预测因素。","authors":"Fabio Catalano, Emanuela Leuci, Emanuela Quattrone, Derna Palmisano, Pietro Pellegrini, Simona Pupo, Marco Menchetti, Lorenzo Pelizza","doi":"10.1111/eip.13599","DOIUrl":null,"url":null,"abstract":"<p><p>BACK: Service disengagement is common in subjects at CHR-P (clinical high risk for psychosis), potentially worsening daily functioning and increasing the duration of untreated psychosis. That is why to identify baseline predictors of service disengagement could help better tailoring follow-up on every CHR-P individual.</p><p><strong>Aims: </strong>Since there are few studies on this topic, the goals of this examination were: (1) to calculate service disengagement rates in a CHR-P sample along 2-years of follow-up; and (2) to examine the most relevant predictive factors of disengagement at baseline.</p><p><strong>Methods: </strong>All young CHR-P participants were enrolled within the 'Parma At-Risk Mental States' (PARMS) protocol. At entry, the Global Assessment of Functioning (GAF) scale and the positive and negative syndrome scale (PANSS) were completed. Cox regression analyses were used.</p><p><strong>Results: </strong>Hundred and eighty CHR-P subjects were recruited in this examination. During the follow-up, a 2-year service disengagement prevalence rate of 15% was observed. A statistically robust predictive factor of service disengagement was a lower prescription of antidepressant drug at entry. Other relevant baseline predictive factors were migrant status, higher GAF score, lower levels of anxious-depressive symptoms and a lower acceptance of psychosocial interventions.</p><p><strong>Discussion: </strong>Baseline presence of anxious-depressive features in CHR-P individuals could favour engagement to specialized EIP services. However, implementing strategies to improve patients' motivation and involvement in care are needed.</p>","PeriodicalId":11385,"journal":{"name":"Early Intervention in Psychiatry","volume":" ","pages":"e13599"},"PeriodicalIF":2.1000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11730404/pdf/","citationCount":"0","resultStr":"{\"title\":\"Clinical high risk for psychosis and service disengagement: Incidence and predictors across 2 years of follow-up.\",\"authors\":\"Fabio Catalano, Emanuela Leuci, Emanuela Quattrone, Derna Palmisano, Pietro Pellegrini, Simona Pupo, Marco Menchetti, Lorenzo Pelizza\",\"doi\":\"10.1111/eip.13599\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>BACK: Service disengagement is common in subjects at CHR-P (clinical high risk for psychosis), potentially worsening daily functioning and increasing the duration of untreated psychosis. That is why to identify baseline predictors of service disengagement could help better tailoring follow-up on every CHR-P individual.</p><p><strong>Aims: </strong>Since there are few studies on this topic, the goals of this examination were: (1) to calculate service disengagement rates in a CHR-P sample along 2-years of follow-up; and (2) to examine the most relevant predictive factors of disengagement at baseline.</p><p><strong>Methods: </strong>All young CHR-P participants were enrolled within the 'Parma At-Risk Mental States' (PARMS) protocol. At entry, the Global Assessment of Functioning (GAF) scale and the positive and negative syndrome scale (PANSS) were completed. Cox regression analyses were used.</p><p><strong>Results: </strong>Hundred and eighty CHR-P subjects were recruited in this examination. During the follow-up, a 2-year service disengagement prevalence rate of 15% was observed. A statistically robust predictive factor of service disengagement was a lower prescription of antidepressant drug at entry. Other relevant baseline predictive factors were migrant status, higher GAF score, lower levels of anxious-depressive symptoms and a lower acceptance of psychosocial interventions.</p><p><strong>Discussion: </strong>Baseline presence of anxious-depressive features in CHR-P individuals could favour engagement to specialized EIP services. However, implementing strategies to improve patients' motivation and involvement in care are needed.</p>\",\"PeriodicalId\":11385,\"journal\":{\"name\":\"Early Intervention in Psychiatry\",\"volume\":\" \",\"pages\":\"e13599\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11730404/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Early Intervention in Psychiatry\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1111/eip.13599\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/7/21 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"PSYCHIATRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Early Intervention in Psychiatry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/eip.13599","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/7/21 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"PSYCHIATRY","Score":null,"Total":0}
Clinical high risk for psychosis and service disengagement: Incidence and predictors across 2 years of follow-up.
BACK: Service disengagement is common in subjects at CHR-P (clinical high risk for psychosis), potentially worsening daily functioning and increasing the duration of untreated psychosis. That is why to identify baseline predictors of service disengagement could help better tailoring follow-up on every CHR-P individual.
Aims: Since there are few studies on this topic, the goals of this examination were: (1) to calculate service disengagement rates in a CHR-P sample along 2-years of follow-up; and (2) to examine the most relevant predictive factors of disengagement at baseline.
Methods: All young CHR-P participants were enrolled within the 'Parma At-Risk Mental States' (PARMS) protocol. At entry, the Global Assessment of Functioning (GAF) scale and the positive and negative syndrome scale (PANSS) were completed. Cox regression analyses were used.
Results: Hundred and eighty CHR-P subjects were recruited in this examination. During the follow-up, a 2-year service disengagement prevalence rate of 15% was observed. A statistically robust predictive factor of service disengagement was a lower prescription of antidepressant drug at entry. Other relevant baseline predictive factors were migrant status, higher GAF score, lower levels of anxious-depressive symptoms and a lower acceptance of psychosocial interventions.
Discussion: Baseline presence of anxious-depressive features in CHR-P individuals could favour engagement to specialized EIP services. However, implementing strategies to improve patients' motivation and involvement in care are needed.
期刊介绍:
Early Intervention in Psychiatry publishes original research articles and reviews dealing with the early recognition, diagnosis and treatment across the full range of mental and substance use disorders, as well as the underlying epidemiological, biological, psychological and social mechanisms that influence the onset and early course of these disorders. The journal provides comprehensive coverage of early intervention for the full range of psychiatric disorders and mental health problems, including schizophrenia and other psychoses, mood and anxiety disorders, substance use disorders, eating disorders and personality disorders. Papers in any of the following fields are considered: diagnostic issues, psychopathology, clinical epidemiology, biological mechanisms, treatments and other forms of intervention, clinical trials, health services and economic research and mental health policy. Special features are also published, including hypotheses, controversies and snapshots of innovative service models.