Aims: Psychosis is a traumatic experience for both sufferers and their families. The morbidity and mortality associated with psychosis may be improved by an assertive, specialised, multidisciplinary approach to care, provided at the earliest opportunity. Early Intervention in Psychosis (EIP) uses such approach to improve the individual's short and long-term symptomatic and functional outcome, as well as quality of life. However, there is still controversy about whether this type of intervention is effective enough to justify its associated costs.
Methods: We reviewed evidence from the literature on EIP for schizophrenia spectrum and non-affective psychoses, with particular attention to evidence on its effectiveness in reducing the duration of untreated symptoms, preventing relapses and reducing admission rates, reducing suicide rates, and reducing treatment costs.
Results: There is preliminary evidence that EIP may be effective in delaying transition to psychosis, reducing DUP, preventing relapses, reducing admission and suicidal rates, and reducing treatment costs.
Discussion: EIP remains a stimulating multidisciplinary approach to psychosis and a demanding commitment for mental health professionals and service developers.
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http://dx.doi.org/10.1017/s1121189x00001329 | DOI Listing |
Proc Natl Acad Sci U S A
January 2025
Institute of Environmental Engineering, Department of Civil, Environmental and Geomatic Engineering, ETH Zürich, Zürich 8093, Switzerland.
Chemotaxis enables marine bacteria to increase encounters with phytoplankton cells by reducing their search times, provided that bacteria detect noisy chemical gradients around phytoplankton. Gradient detection depends on bacterial phenotypes and phytoplankton size: large phytoplankton produce spatially extended but shallow gradients, whereas small phytoplankton produce steeper but spatially more confined gradients. To date, it has remained unclear how phytoplankton size and bacterial swimming speed affect bacteria's gradient detection ability and search times for phytoplankton.
View Article and Find Full Text PDFSupport Care Cancer
January 2025
Department of Dentistry and Oral Health, Faculty of Health, Aarhus University, Aarhus, Denmark.
Purpose: This systematic review aimed to assess the updated literature for the prevention of salivary gland hypofunction and xerostomia induced by non-surgical cancer therapies.
Methods: Electronic databases of MEDLINE/PubMed, EMBASE, and Cochrane Library were searched for randomized controlled trials (RCT) that investigated interventions to prevent salivary gland hypofunction and/or xerostomia. Literature search began from the 2010 systematic review publications from the Multinational Association of Supportive Care in Cancer/International Society of Oral Oncology (MASCC/ISOO) up to February 2024.
Insights Imaging
January 2025
Institute of Radiology, LKH Graz II, Graz, Austria.
Purpose: To assess the efficacy of bolus injections of landiolol hydrochloride as premedication in coronary artery CT angiography (CCTA).
Methods: The study population consisted of 37 patients (17 female; median age, 56 years; IQR, 19 years; range, 19-88 years) who underwent CCTA after intravenous injection of landiolol hydrochloride due to a heart rate > 60 bpm. Landiolol hydrochloride was administered in a stepwise manner until a heart rate of ≤ 60 bpm was achieved or a maximum dose of 60 mg was reached after six injections.
Naunyn Schmiedebergs Arch Pharmacol
January 2025
Department of Pathology, Faculty of Veterinary Medicine, Alexandria University, Alexandria, 22758, Egypt.
This study investigates the protective effects of resveratrol (RSV) against heat stress (HS)-induced testicular injury in rats. Climate change has exacerbated heat stress, particularly affecting male fertility by impairing testicular function and sexual behavior. A total of 32 rats were allocated into four experimental groups: control, RSV control, HS control, and RSV + HS.
View Article and Find Full Text PDFCurr Res Transl Med
January 2025
Department of Research and Innovation, Medway NHS Foundation Trust, Gillingham ME7 5NY, United Kingdom; Faculty of Medicine, Health and Social Care, Canterbury Christ Church University, United Kingdom.
This narrative review examines the transformative role of Artificial Intelligence (AI) and Machine Learning (ML) in organ retrieval and transplantation. AI and ML technologies enhance donor-recipient matching by integrating and analyzing complex datasets encompassing clinical, genetic, and demographic information, leading to more precise organ allocation and improved transplant success rates. In surgical planning, AI-driven image analysis automates organ segmentation, identifies critical anatomical features, and predicts surgical outcomes, aiding pre-operative planning and reducing intraoperative risks.
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