| 1. |
- Alme, Tomas Nordheim, et al.
(författare)
-
Chronic fatigue syndromes: real illnesses that people can recover from
- 2023
-
Ingår i: Scandinavian Journal of Primary Health Care. - : TAYLOR & FRANCIS LTD. - 0281-3432 .- 1502-7724. ; 41:4, s. 372-376
-
Tidskriftsartikel (refereegranskat)abstract
- The Oslo Chronic Fatigue Consortium consists of researchers and clinicians who question the current narrative that chronic fatigue syndromes, including post-covid conditions, are incurable diseases. Instead, we propose an alternative view, based on research, which offers more hope to patients. Whilst we regard the symptoms of these conditions as real, we propose that they are more likely to reflect the brains response to a range of biological, psychological, and social factors, rather than a specific disease process. Possible causes include persistent activation of the neurobiological stress response, accompanied by associated changes in immunological, hormonal, cognitive and behavioural domains. We further propose that the symptoms are more likely to persist if they are perceived as threatening, and all activities that are perceived to worsen them are avoided. We also question the idea that the best way to cope with the illness is by prolonged rest, social isolation, and sensory deprivation.Instead, we propose that recovery is often possible if patients are helped to adopt a less threatening understanding of their symptoms and are supported in a gradual return to normal activities. Finally, we call for a much more open and constructive dialogue about these conditions. This dialogue should include a wider range of views, including those of patients who have recovered from them.
|
|
| 2. |
|
|
| 3. |
- McWhinney, Sean R, et al.
(författare)
-
Principal component analysis as an efficient method for capturing multivariate brain signatures of complex disorders-ENIGMA study in people with bipolar disorders and obesity.
- 2024
-
Ingår i: Human brain mapping. - 1097-0193 .- 1097-0193. ; 45:8
-
Tidskriftsartikel (refereegranskat)abstract
- Multivariate techniques better fit the anatomy of complex neuropsychiatric disorders which are characterized not by alterations in a single region, but rather by variations across distributed brain networks. Here, we used principal component analysis (PCA) to identify patterns of covariance across brain regions and relate them to clinical and demographic variables in a large generalizable dataset of individuals with bipolar disorders and controls. We then compared performance of PCA and clustering on identical sample to identify which methodology was better in capturing links between brain and clinical measures. Using data from the ENIGMA-BD working group, we investigated T1-weighted structural MRI data from 2436 participants with BD and healthy controls, and applied PCA to cortical thickness and surface area measures. We then studied the association of principal components with clinical and demographic variables using mixed regression models. We compared the PCA model with our prior clustering analyses of the same data and also tested it in a replication sample of 327 participants with BD or schizophrenia and healthy controls. The first principal component, which indexed a greater cortical thickness across all 68 cortical regions, was negatively associated with BD, BMI, antipsychotic medications, and age and was positively associated with Li treatment. PCA demonstrated superior goodness of fit to clustering when predicting diagnosis and BMI. Moreover, applying the PCA model to the replication sample yielded significant differences in cortical thickness between healthy controls and individuals with BD or schizophrenia. Cortical thickness in the same widespread regional network as determined by PCA was negatively associated with different clinical and demographic variables, including diagnosis, age, BMI, and treatment with antipsychotic medications or lithium. PCA outperformed clustering and provided an easy-to-use and interpret method to study multivariate associations between brain structure and system-level variables. PRACTITIONER POINTS: In this study of 2770 Individuals, we confirmed that cortical thickness in widespread regional networks as determined by principal component analysis (PCA) was negatively associated with relevant clinical and demographic variables, including diagnosis, age, BMI, and treatment with antipsychotic medications or lithium. Significant associations of many different system-level variables with the same brain network suggest a lack of one-to-one mapping of individual clinical and demographic factors to specific patterns of brain changes. PCA outperformed clustering analysis in the same data set when predicting group or BMI, providing a superior method for studying multivariate associations between brain structure and system-level variables.
|
|
| 4. |
- Schultz, Alexander, et al.
(författare)
-
Urostomy and health-related quality of life in patients with lower urinary tract dysfunction
- 2015
-
Ingår i: Scandinavian Journal of Urology. - : Medical Journals Sweden AB. - 2168-1813 .- 2168-1805. ; 49:1, s. 2-7
-
Tidskriftsartikel (refereegranskat)abstract
- Objective. Urinary diversion may be an option in patients with disabling lower urinary tract dysfunction (DLUTD), refractory to conservative and minor invasive treatment. The aim of this study was to evaluate whether urostomy improves quality of life and cost of surgery, in terms of complications, loss of kidney function and hospital stay, in these patients. Material and methods. This prospective study included 52 consecutive patients (nine men and 43 women) with various benign disorders. Twenty-six patients received an ileal conduit and 26 a continent cutaneous diversion. The patients completed the general health-related quality of life instrument WHOQOL-BREF and a urinary problem-specific quality of life instrument preoperatively and 6 and 12 months after surgery. Length of hospital stay and complications were registered. Intravenous urography and determination of glomerular filtration rate (GFR) were performed preoperatively and 12 months postoperatively. Results. Disease-specific and health-related quality of life improved significantly (p < 0.0005 and p < 0.05) in all domains except for social relationship, from preoperative to 12 months after surgery. There was no difference in improvement between patients with continent and those with incontinent diversion. Mean hospital stay was 14 days. Early and late complications required open surgery in 12 patients (23%). GFR was unchanged postoperatively. Conclusions. Urinary diversion improves health-related and disease-specific quality of life in patients with DLUTD refractory to conservative and minor invasive treatments. The burden of surgery is acceptable. Urinary diversion could be recommended more often in such patients.
|
|
