| 1. |
|
|
| 2. |
|
|
| 3. |
- Foldemo, Anniqa, et al.
(författare)
-
Health-related quality of life and metabolic risk in patients with psychosis
- 2014
-
Ingår i: Schizophrenia Research. - : Elsevier. - 0920-9964 .- 1573-2509. ; 152:1, s. 295-299
-
Tidskriftsartikel (refereegranskat)abstract
- Improved Health-related quality of life (HRQoL) is an alternative treatment goal for individuals with psychosis, who have up to two times greater prevalence of type 2 diabetes, hypertension and obesity than the general population. Aim: to compare HRQoL in patients with psychosis, especially schizophrenia, with a reference sample and explore the relationship between HRQoL and metabolic risk factors in these patients. Methods: a prospective cohort study was carried out in specialized psychiatric outpatient departments in Sweden. The patients were invited consecutively. A prospective population-based study of public health in the south-east of Sweden served as reference group. Patients were assessed with psychiatric questionnaires that included Global Assessment of Functioning (GAF). Health-related quality of life was assessed using the questionnaire EQ5D, both for patients and the population, and several other health status outcomes were used. Results: At 73%, schizophrenia and schizoaffective disorder were the most common diagnoses in the patient group. The results in patients (n = 903) and population (n = 7238) showed significant differences in lower EQ5D among patients. According to the definition by the International Diabetes Federation (IDF), elevated blood pressure was the only metabolic risk associated with lower HRQoL in patients. Raised LDL-cholesterol levels were also significantly related to lower HRQoL. Conclusion: patients suffering from psychosis had significantly lower HRQoL regarding all components in EQ5D, except for the pain/discomfort component. Almost half of the patient group met the criteria for metabolic syndrome. According to the IDF criteria, elevated blood pressure was the only metabolic risk factor that had an impact on HRQoL.
|
|
| 4. |
- Lindström, L, et al.
(författare)
-
Elevated levels of kynurenic acid in the cerebrospinal fluid of male patients with schizophrenia.
- 2005
-
Ingår i: Schizophrenia research. - : Elsevier BV. - 0920-9964 .- 1573-2509. ; 80:2-3, s. 315-22
-
Tidskriftsartikel (refereegranskat)abstract
- Previous studies have shown that endogenous brain levels of kynurenic acid (KYNA), a glutamate receptor antagonist, are elevated in patients with schizophrenia. Here we analyse KYNA in the cerebrospinal fluid (CSF) from a large cohort, including male healthy controls (n=49) and male patients with schizophrenia (n=90). We found that male patients with schizophrenia had significantly higher levels of CSF KYNA compared to healthy male controls (1.45 nM+/-0.10 vs. 1.06 nM+/-0.06 in the control group). Furthermore, when the patients with schizophrenia were divided into subgroups we found that CSF KYNA levels were significantly elevated in drug-naïve, first episode patients (1.53 nM+/-0.19, n=37) and in patients undergoing treatment with antipsychotic drugs (1.53 nM+/-0.17, n=34) compared to healthy male controls. No elevated CSF KYNA levels were detected in drug-free patients with schizophrenia, i.e. patients previously undergoing antipsychotic medications but drug-free at time of sampling (1.16 nM+/-0.10, n=19). Present results confirm that CSF KYNA concentration is elevated in patients with schizophrenia and are consistent with the hypothesis that KYNA contributes to the pathophysiology of the disease.
|
|
| 5. |
- Smart, Sophie E., et al.
(författare)
-
Clinical predictors of antipsychotic treatment resistance: Development and internal validation of a prognostic prediction model by the STRATA-G consortium
- 2022
-
Ingår i: Schizophrenia Research. - : Elsevier. - 0920-9964 .- 1573-2509. ; 250
-
Tidskriftsartikel (refereegranskat)abstract
- IntroductionOur aim was to, firstly, identify characteristics at first-episode of psychosis that are associated with later antipsychotic treatment resistance (TR) and, secondly, to develop a parsimonious prediction model for TR.MethodsWe combined data from ten prospective, first-episode psychosis cohorts from across Europe and categorised patients as TR or non-treatment resistant (NTR) after a mean follow up of 4.18 years (s.d. = 3.20) for secondary data analysis. We identified a list of potential predictors from clinical and demographic data recorded at first-episode. These potential predictors were entered in two models: a multivariable logistic regression to identify which were independently associated with TR and a penalised logistic regression, which performed variable selection, to produce a parsimonious prediction model. This model was internally validated using a 5-fold, 50-repeat cross-validation optimism-correction.ResultsOur sample consisted of N = 2216 participants of which 385 (17 %) developed TR. Younger age of psychosis onset and fewer years in education were independently associated with increased odds of developing TR. The prediction model selected 7 out of 17 variables that, when combined, could quantify the risk of being TR better than chance. These included age of onset, years in education, gender, BMI, relationship status, alcohol use, and positive symptoms. The optimism-corrected area under the curve was 0.59 (accuracy = 64 %, sensitivity = 48 %, and specificity = 76 %).ImplicationsOur findings show that treatment resistance can be predicted, at first-episode of psychosis. Pending a model update and external validation, we demonstrate the potential value of prediction models for TR.
|
|
