0000000001174533
AUTHOR
Olesya Ajnakina
Additional file 6 of Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation
Additional file 6. Estimated optimism.
Additional file 14 of Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation
Additional file 14. The formula for the final model.
Hospitalisation and length of hospital stay following first-episode psychosis:Systematic review and meta-analysis of longitudinal studies
AbstractBackgroundReducing hospitalisation and length of stay (LOS) in hospital following first episode psychosis (FEP) is important, yet reliable measures of these outcomes and their moderators are lacking. We conducted a systematic review and meta-analysis to investigate the proportion of FEP cases who were hospitalised after their first contact with services and the LOS in a hospital during follow-up.MethodsStudies were identified from a systematic search across major electronic databases from inception to October 2017. Random effects meta-analyses and meta-regression analyses were conducted.Results81 longitudinal studies encompassing data for 23 280 FEP patients with an average follow-u…
Additional file 2 of Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation
Additional file 2. Distribution of missing and observed variables included in the analyses in ELSA.
Duration of untreated psychosis in first-episode psychosis is not associated with common genetic variants for major psychiatric conditions: results from the multi-center EU-GEI Study
The EU-GEI Project is funded by the European Community’s Seventh Framework Programme under grant agreement No. HEALTH-F2-2010–241909 (Project EU-GEI).
Additional file 3 of Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation
Additional file 3. Sample calculations for Survival outcomes (Cox prediction models).
Substance use, medication adherence and outcome one year following a first episode of psychosis
Both substance use and poor medication adherence are associated with poor outcome in psychosis. To clarify the contributions of substance use and poor medication adherence to poor outcome in the year following a first episode of psychosis, 205 patients were evaluated for use of tobacco, alcohol, cannabis and stimulants at their psychosis onset, and in a 1-year follow-up. Data on medication adherence and symptom remission were also collected. Patients had high rates of overall substance use before (37-65%) and after psychosis onset (45-66%). 44% showed poor medication adherence and 55% did not reach remission from psychosis. Nicotine dependence and cannabis use after psychosis onset signific…
Additional file 12 of Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation
Additional file 12. The distribution of survival probabilities estimated based on 13 variables included in the model in the development and validation cohorts.
Additional file of Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation
Additional file of Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation
Additional file 4 of Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation
Additional file 4. Distributions of the variables at baseline before and after multiple imputations.
Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation
Abstract Background In increasingly ageing populations, there is an emergent need to develop a robust prediction model for estimating an individual absolute risk for all-cause mortality, so that relevant assessments and interventions can be targeted appropriately. The objective of the study was to derive, evaluate and validate (internally and externally) a risk prediction model allowing rapid estimations of an absolute risk of all-cause mortality in the following 10 years. Methods For the model development, data came from English Longitudinal Study of Ageing study, which comprised 9154 population-representative individuals aged 50–75 years, 1240 (13.5%) of whom died during the 10-year follo…
Additional file 8 of Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation
Additional file 8. Optimism-corrected models’ performance in prediction the 10-year risk of all-cause mortality in older adults.
Additional file 11 of Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation
Additional file 11. Histogram depicting distribution of prognostic index (PI) estimated based on 13 variables included in the model in the development cohort and external cohort.
Additional file 10 of Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation
Additional file 10. Internally validated though optimism-correction models’ discrimination for prediction the 10-year risk of all-cause mortality in older adults.
Additional file 5 of Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation
Additional file 5. Apparent coefficients for the Cox-LASSO regression for all-cause mortality during the 10-year follow-up.
Structural Covariance of Cortical Gyrification at Illness Onset in Treatment Resistance: A Longitudinal Study of First-Episode Psychoses
AbstractTreatment resistance (TR) in patients with first-episode psychosis (FEP) is a major cause of disability and functional impairment, yet mechanisms underlying this severe disorder are poorly understood. As one view is that TR has neurodevelopmental roots, we investigated whether its emergence relates to disruptions in synchronized cortical maturation quantified using gyrification-based connectomes. Seventy patients with FEP evaluated at their first presentation to psychiatric services were followed up using clinical records for 4 years; of these, 17 (24.3%) met the definition of TR and 53 (75.7%) remained non-TR at 4 years. Structural MRI images were obtained within 5 weeks from first…
Additional file 13 of Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation
Additional file 13. Distributions of the variables included in the final all-cause mortality model in derivation cohort (ELSA) and validation cohort (HRS).
'At risk mental state' clinics for psychosis - An idea whose time has come - And gone!
AbstractAt Risk Mental State (ARMS) clinics are specialised mental health services for young, help-seeking people, thought to be at ultra-high risk of developing psychosis. Their stated purpose is to reduce transitions from the ARMS state to clinical psychotic disorder. Reports of ARMS clinics provide ‘evidence-based recommendations’ or ‘guidance’ for the treatment of such individuals, and claim that such clinics prevent the development of psychosis. However, we note that in an area with a very well-developed ARMS clinic (South London), only a very small proportion (4%) of patients with first episode psychosis had previously been seen at this clinic with symptoms of the ARMS. We conclude th…
Additional file 9 of Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation
Additional file 9. Apparent models’ discrimination in prediction the 10-year risk of all-cause mortality in older adults.
Additional file 7 of Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation
Additional file 7. Apparent models’ performance in prediction the 10-year risk of all-cause mortality in older adults.
Additional file 1 of Development and validation of prediction model to estimate 10-year risk of all-cause mortality using modern statistical learning methods: a large population-based cohort study and external validation
Additional file 1. Outlines a list of all variables considered in the analyses and whether they have been included or excluded from the model building.
Vitamin D and clinical symptoms in First Episode Psychosis (FEP): A prospective cohort study
BACKGROUND: There is a paucity of longitudinal research investigating vitamin D in people with early psychosis.METHOD: Vitamin D levels were measured in 168 patients (64% (n = 108) male, mean age 29.3 (9.8) years) with first episode psychosis (FEP), along with measures of clinical state at baseline and at 12 months follow up. We assessed the a) cross sectional, and; b) longitudinal relationships between continuous and categorical 25-hydroxyvitamin D (25(OH)D) levels and clinical symptoms at first contact for psychosis and at 12 months.RESULTS: In FEP, 80% (n = 134) at baseline, and 76% at 12 months follow up, had suboptimal vitamin D levels (<20 ng/ml). Suboptimal levels of 25 (OH) D at …
Acetyl-L-Carnitine Supplementation and the Treatment of Depressive Symptoms: A Systematic Review and Meta-Analysis.
Objective: Deficiency of acetyl-l-carnitine (ALC) seems to play a role in the risk of developing depression, indicating a dysregulation of fatty acid transport across the inner membrane of mitochondria. However, data about ALC supplementation in humans are limited. We thus conducted a systematic review and meta-analysis investigating the effect of ALC on depressive symptoms across randomized controlled trials (RCTs). Methods: A literature search in major databases, without language restriction, was undertaken from inception until 30 December 2016. Eligible studies were RCTs of ALC alone or in combination with antidepressant medications, with a control group taking placebo/no intervention or…