Severe Mental Illnesses, including bipolar disorder (BD) and schizophrenia (SCZ), are burdened with an increased mortality and a significantly reduced life expectancy than general population, and cardiovascular diseases (CVD) are considered the most contributing conditions. The aim of the present study is to evaluate 10-year CV risk and the associated clinical characteristics in patients with SCZ, BD type I and II. Patients were consecutively recruited from two Italian psychiatric acute units. Single CV risk factors were assessed, and 10-year CV risk calculated by means of the CUORE Project 10-year CV risk algorithm, based on the combination of the following risk factors: age, systolic blood pressure, total and high-density lipoprotein cholesterol, diabetes, smoking habit, and hypertensive treatment. Three hundred patients were included. Patients with BD type I showed a higher prevalence of hypertension and 10-year CV risk score compared to the other groups. In subjects with BD type I, we found a significant correlation between duration of illness and number of mood episodes and both hypertension and 10-year CV risk score. Several preventive strategies should be provided to these vulnerable populations, such as correcting unhealthy lifestyles, prescribing medications at lower CV and metabolic risk, enhancing access to care.
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http://dx.doi.org/10.1016/j.psychres.2021.114344 | DOI Listing |
Neurooncol Adv
October 2024
Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Background: Ependymomas of the spinal cord are rare among children and adolescents, and the individual risk of disease progression is difficult to predict. This study aims to evaluate the prognostic impact of molecular typing on pediatric spinal cord ependymomas.
Methods: Eighty-three patients with spinal ependymomas ≤22 years registered in the HIT-MED database (German brain tumor registry for children, adolescents, and adults with medulloblastoma, ependymoma, pineoblastoma, and CNS-primitive neuroectodermal tumors) between 1992 and 2022 were included.
J Hepatol
December 2024
Department of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Seoul, Korea; Inocras Inc., San Diego, CA, USA. Electronic address:
Background & Aims: Various hepatocellular carcinoma (HCC) prediction models have been proposed for patients with chronic hepatitis B (CHB) using clinical variables. We aimed to develop an artificial intelligence (AI)-based HCC prediction model by incorporating imaging biomarkers derived from abdominal computed tomography (CT) images along with clinical variables.
Methods: An AI prediction model employing a gradient-boosting machine algorithm was developed utilizing imaging biomarkers extracted by DeepFore, a deep learning-based CT auto-segmentation software.
Radiother Oncol
December 2024
Department of Radiation Oncology, Eye & ENT Hospital, Fudan University, Shanghai, China. Electronic address:
Aim: We aimed to examine the influence of various prognostic factors on the outcome of external auditory canal (EAC) cancer and create a graphical prediction tool, marking a first in this field, premised on these determinants.
Methods: We retrospectively analysed 173 patients with EAC cancer, making this the largest patient cohort in the literature. Survival analysis was performed using the Kaplan-Meier method, and the log-rank test was used to assess the differences between established prognostic variables.
Intensive Crit Care Nurs
December 2024
Department of Internal Medicine and Pediatrics, Faculty of Medicine and Health Science, Ghent University, Ghent, Belgium; UQ Centre for Clinical Research, The University of Queensland, Brisbane, Australia. Electronic address:
Objectives: To assess trends in surgical site infection (SSI) incidence in cardiosurgery following a quality improvement initiative in infection prevention and control (IP&C).
Methods: This is a historical cohort study encompassing a 10-year surveillance period (2014-2023) in a cardiosurgical department in a multi-organ transplant center. The study encompassed three periods: a baseline period (Phase_1: January 2014-December 2018); an implementation phase covering quality improvement initiatives targeting various aspects of IP&C including organizational factors, pre-operative, intra-operative, post-operative measures, and post-hospitalization care (Phase_2: January 2019-June 2021); a post-implementation phase (Phase_3: July 2021-September 2023).
J Perinat Med
December 2024
Department of Obstetrics and Gynecology, 26447 Peking University First Hospital, Beijing, China.
Objectives: To investigate the perinatal outcomes of SR using radiofrequency ablation (RFA) in MC pregnancies, identified factors affecting these outcomes, and assessed the associated learning curve.
Methods: This retrospective cohort study included all consecutive MC pregnancies that required RFA from September 2013 to April 2023 at our institution. The perinatal outcomes were compared on the basis of various indications, and binary logistic regression analysis was performed to identify the risk factors for cotwin loss.
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