11 research outputs found

    The multimodal Munich Clinical Deep Phenotyping study to bridge the translational gap in severe mental illness treatment research

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    Introduction: Treatment of severe mental illness (SMI) symptoms, especially negative symptoms and cognitive dysfunction in schizophrenia, remains a major unmet need. There is good evidence that SMIs have a strong genetic background and are characterized by multiple biological alterations, including disturbed brain circuits and connectivity, dysregulated neuronal excitation-inhibition, disturbed dopaminergic and glutamatergic pathways, and partially dysregulated inflammatory processes. The ways in which the dysregulated signaling pathways are interconnected remains largely unknown, in part because well-characterized clinical studies on comprehensive biomaterial are lacking. Furthermore, the development of drugs to treat SMIs such as schizophrenia is limited by the use of operationalized symptom-based clusters for diagnosis. Methods: In line with the Research Domain Criteria initiative, the Clinical Deep Phenotyping (CDP) study is using a multimodal approach to reveal the neurobiological underpinnings of clinically relevant schizophrenia subgroups by performing broad transdiagnostic clinical characterization with standardized neurocognitive assessments, multimodal neuroimaging, electrophysiological assessments, retinal investigations, and omics-based analyzes of blood and cerebrospinal fluid. Moreover, to bridge the translational gap in biological psychiatry the study includes in vitro investigations on human-induced pluripotent stem cells, which are available from a subset of participants. Results: Here, we report on the feasibility of this multimodal approach, which has been successfully initiated in the first participants in the CDP cohort; to date, the cohort comprises over 194 individuals with SMI and 187 age and gender matched healthy controls. In addition, we describe the applied research modalities and study objectives. Discussion: The identification of cross-diagnostic and diagnosis-specific biotype-informed subgroups of patients and the translational dissection of those subgroups may help to pave the way toward precision medicine with artificial intelligence-supported tailored interventions and treatment. This aim is particularly important in psychiatry, a field where innovation is urgently needed because specific symptom domains, such as negative symptoms and cognitive dysfunction, and treatment-resistant symptoms in general are still difficult to treat

    Modernizing Withdrawal Management Services

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    Alcohol, opioid, and stimulant withdrawal syndromes are serious clinical presentations, some of which can be life-threatening if untreated. Patients presenting with withdrawal syndromes offer an important opportunity for healthcare providers to ally in deciding the most appropriate treatment setting, safely treating withdrawal symptoms, preventing potentially severe medical complications, and facilitating a transition to longer-term low-barrier substance use care including, where available, psychosocial interventions, evidence-based pharmacotherapies, and referrals for other community-based or specialist-led services. Given that substance use disorders are chronic biopsychosocial disorders commonly characterized by periods of relapse and remission, patients presenting in substance withdrawal deserve a long term and holistic approach to management that cannot be simply achieved in short-term withdrawal management siloed and separate from a continuum of care. This narrative review of withdrawal management literature describes recent advances in clinical care for patients in withdrawal from alcohol, opioids, and stimulants.Medicine, Faculty ofNon UBCAnesthesiology, Pharmacology and Therapeutics, Department ofFamily Practice, Department ofMedicine, Department ofReviewedFacultyResearcherUndergraduat

    Characteristics and incidence of opioid analgesic initiations to opioid naïve patients in a Canadian primary care setting

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    Objective: To examine characteristics and incidence of opioid analgesic initiations to opioid naïve patients in a Canadian primary care setting. Methods: This is a population-based cross-sectional study, outlining an analysis of health administrative data recorded in a centralized medication monitoring database (PharmaNet) covering 96% of population in British Columbia (BC), Canada. From the PharmaNet database, 5,657 doctors (87% of all practicing family physicians) were selected on the bases of (1) having been currently treating patients (defined as having written at least 25 prescriptions, for any drug, in preceding 12 months); and (2) having prescribed at least one opioid during study period. The primary outcome measure is incidence of new starts for opioid analgesics in opioid naïve people, stratified by several important prescriber and regional characteristics (e.g., graduation year, geographical location). Results: Between December 1 st , 2018 and November 30th , 2019, there were 139,145 opioid initiations to opioid naïve patients. The mean monthly initiation rate was 2.05 prescriptions per physician. Most initiations were in Lower Mainland regions of BC, also where the population is most concentrated (46,456, 33% in the Fraser region), by prescribers who graduated between 1986-1995 (39,601, 28%), and had less than 10 patient visits per day (72,506, 52%). Conclusions: From data presented in this study, it appears that the rate of opioid analgesic initiations in primary care remains unchanged. Individualized prescribing interventions targeted at physicians are urgently needed considering the current opioid epidemic and known links with opioid analgesics that raise concerns about the potential to cause harm.Medicine, Faculty ofNon UBCAnesthesiology, Pharmacology and Therapeutics, Department ofFamily Practice, Department ofMedicine, Department ofReviewedFacultyGraduat

    Individualized prescribing portraits to reduce inappropriate initiation of opioid analgesics to opioid naïve patients in primary care : Protocol for a randomized controlled trial

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    Background: Opioid analgesics are frequently initiated for chronic and acute pain despite weak evidence of benefit, although prescribing rates of some analgesics decreased in the context of the epidemic. In some populations, up to a quarter of opioid naïve persons prescribed opioids for noncancer pain develop prescription opioid use disorder (OUD). Audit and feedback interventions rely on constructive use of routinely collected data to align professional behaviours and clinical practice with best evidence. These interventions have been shown to help reduce inappropriate initiation. However, effectiveness and acceptability of individualized “portraits” of physicians’ prescribing patterns, to reduce inappropriate initiation of opioid analgesics to opioid naïve persons, have not been evaluated. Methods: REDONNA is a mixed-methods randomized study testing the effectiveness of individualized prescribing Portraits to reduce inappropriate initiation of opioid analgesics. This intervention to improve safety of opioid prescribing in primary care in British Columbia (BC), Canada involves mailing individual prescribing portraits to an ‘early group’ of 2604 family physicians, followed in six months by a mailing to 2553 family physicians in the ‘delayed group’. Primary outcome is number of new opioid prescriptions initiated in opioid naïve people, measured using administrative data from a centralized medication monitoring database covering all prescription opioids dispensed from BC community pharmacies. Secondary endpoints will compare prescribing impact between the two groups. A qualitative sub-study will examine feasibility among a purposive sample of physicians and patients. Discussion: This trial provides important evidence on the intervention’s potential to steer policy and practice on inappropriate opioid analgesics initiation.Medicine, Faculty ofNon UBCAnesthesiology, Pharmacology and Therapeutics, Department ofFamily Practice, Department ofMedicine, Department ofReviewedFacultyResearche
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