Schizophrenia is a major psychotic disorder with significant comorbidity and mortality. Patients with schizophrenia are said to suffer more type-2 diabetes mellitus (T2DM) and diabetogenic complications. However, there is little consistent evidence that comorbidity with physical diseases leads to excess mortality in schizophrenic patients. Consequently, we investigated whether the burden of physical comorbidity and its relevance on hospital mortality differed between patients with and without schizophrenia in a 12-year follow-up in general hospital admissions. During 1 January 2000 and 31 June 2012, 1418 adult patients with schizophrenia were admitted to three General Manchester NHS Hospitals. All comorbid diseases with a prevalemce ≥1% were compared with those of 14,180 age- and gender-matched hospital controls. Risk factors, i.e. comorbid diseases that were predictors for general hospital mortality were identified using multivariate logistic regression analyses. Compared with controls, schizophrenic patients had a higher proportion of emergency admissions (69.8 vs. 43.0%), an extended average length of stay at index hospitalization (8.1 vs. 3.4 days), a higher number of hospital admissions (11.5 vs. 6.3), a shorter length of survival (1895 vs. 2161 days), and a nearly twofold increased mortality rate (18.0 vs. 9.7%). Schizophrenic patients suffered more depression, T2DM, alcohol abuse, asthma, COPD, and twenty-three more diseases, many of them diabetic-related complications or other environmentally influenced conditions. In contrast, hypertension, cataract, angina, and hyperlipidaemia were less prevalent in the schizophrenia population compared to the control population. In deceased schizophrenic patients, T2DM was the most frequently recorded comorbidity, contributing to 31.4% of hospital deaths (only 14.4% of schizophrenic patients with comorbid T2DM survived the study period). Further predictors of general hospital mortality in schizophrenia were found to be alcoholic liver disease (OR = 10.3), parkinsonism (OR = 5.0), T1DM (OR = 3.8), non-specific renal failure (OR = 3.5), ischaemic stroke (OR = 3.3), pneumonia (OR = 3.0), iron-deficiency anaemia (OR = 2.8), COPD (OR = 2.8), and bronchitis (OR = 2.6). There were no significant differences in their impact on hospital mortality compared to control subjects with the same diseases except parkinsonism which was associated with higher mortality in the schizophrenia population compared with the control population. The prevalence of parkinsonism was significantly elevated in the 255 deceased schizophrenic patients (5.5 %) than in those 1,163 surviving the study period (0.8 %, OR = 5.0) and deceased schizophrenic patients had significantly more suffered extrapyramidal symptoms than deceased control subjects (5.5 vs. 1.5 %). Therefore patients with schizophrenia have a higher burden of physical comorbidity that is associated with a worse outcome in a 12-year follow-up of mortality in general hospitals compared with hospital controls. However, schizophrenic patients die of the same physical diseases as their peers without schizophrenia. The most relevant physical risk factors of general hospital mortality are T2DM, COPD and infectious respiratory complications, iron-deficiency anaemia, T1DM, unspecific renal failure, ischaemic stroke, and alcoholic liver disease. Additionally, parkinsonism is a major risk factor for general hospital mortality in schizophrenia. Thus, optimal monitoring and management of acute T2DM and COPD with its infectious respiratory complications, as well as the accurate detection and management of iron-deficiency anaemia, of diabetic-related long-term micro- and macrovascular complications, of alcoholic liver disease, and of extrapyramidal symptoms are of utmost relevance in schizophrenia.
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http://dx.doi.org/10.1007/s00406-013-0436-x | DOI Listing |
J Psychopharmacol
January 2025
Psychiatric Research Center, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan.
Objective: Therapeutic drug monitoring (TDM) indicators have been suggested to predict overall outcome responses to olanzapine (OLZ) treatments in terms of efficacy and metabolic syndrome. This study aimed to investigate whether paraoxonase-1 (PON-1) activity can be used to predict schizophrenia patient outcomes.
Methods: Schizophrenic patients ( = 50) aged between 20 and 65 years who received OLZ treatment were recruited, and their Positive and Negative Syndrome Scale scores, PON-1 activity, and olanzapine drug levels normalized by dose (OLZ/D) and its metabolite N-desmethyl-olanzapine (DMO), together with biochemical parameters, were determined.
Neuropsychopharmacol Hung
December 2024
Pszichiátriai és Pszichoterápiás Klinika, Semmelweis Egyetem, Budapest.
Med Health Care Philos
January 2025
Université de Genève, Genève, Switzerland.
This paper seeks to determine the extent to which individuals with borderline personality disorders can be held morally responsible for a particular subset of their actions: disproportionate anger, aggressions and displays of temper. The rationale for focusing on these aspects lies in their widespread acknowledgment in the literature and their plausible primary association with blame directed at BPD patients. BPD individuals are indeed typically perceived as "difficult patients" (Sulzer 2015:82; Bodner et al.
View Article and Find Full Text PDFBrain Behav
January 2025
Computational and Artificial Intelligence Department, Institute of Cognitive Science Studies, Tehran, Iran.
Purpose: The neurobiological heterogeneity present in schizophrenia remains poorly understood. This likely contributes to the limited success of existing treatments and the observed variability in treatment responses. Our objective was to employ magnetic resonance imaging (MRI) and machine learning (ML) algorithms to improve the classification of schizophrenia and its subtypes.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Clinical Neuropsychiatry, Medical University of Lublin, ul. Głuska 1, 20-439, Lublin, Poland.
Schizophrenia is a serious mental disorder with a complex neurobiological background and a well-defined psychopathological picture. Despite many efforts, a definitive disease biomarker has still not been identified. One of the promising candidates for a disease-related biomarker could involve retinal morphology , given that the retina is a part of the central nervous system that is known to be affected in schizophrenia and related to multiple illness features.
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