Factor validation and Rasch analysis of the individual recovery outcomes counter

Objective: The Individual Recovery Outcomes Counter is a 12-item personal recovery self assessment tool for adults with mental health problems. Although widely used across Scotland, limited research into its psychometric properties has been conducted. We tested its' measurement properties to ascertain the suitability of the tool for continued use in its present form.Materials and methods: Anonymised data from the assessments of 1,743 adults using mental health services in Scotland were subject to tests based on principles of Rasch measurement theory, principal components analysis and confirmatory factor analysis.Results: Rasch analysis revealed that the 6-point response structure of the Individual Recovery Outcomes Counter was problematic. Re-scoring on a 4-point scale revealed well ordered items that measure a single, recovery-related construct, and has acceptable fit statistics. Confirmatory factor analysis supported this. Scale items covered around 75% of the recovery continuum; those individuals least far along the continuum were least well addressed.Conclusions: A modified tool worked well for many, but not all, service users. The study suggests specific developments are required if the Individual Recovery Outcomes Counter is to maximise its' utility for service users and provide meaningful data for service providers.*Implications for Rehabilitation*Agencies and services working with people with mental health problems aim to help them with their recovery.*The individual recovery outcomes counter has been developed and is used widely in Scotland to help service users track their progress to recovery.*Using a large sample of routinely collected data we have demonstrated that a number of modifications are needed if the tool is to adequately measure recovery.*This will involve consideration of the scoring system, item content and inclusion, and theoretical basis of the tool

Stroke genetics informs drug discovery and risk prediction across ancestries

Previous genome-wide association studies (GWASs) of stroke — the second leading cause of death worldwide — were conducted predominantly in populations of European ancestry1,2. Here, in cross-ancestry GWAS meta-analyses of 110,182 patients who have had a stroke (five ancestries, 33% non-European) and 1,503,898 control individuals, we identify association signals for stroke and its subtypes at 89 (61 new) independent loci: 60 in primary inverse-variance-weighted analyses and 29 in secondary meta-regression and multitrait analyses. On the basis of internal cross-ancestry validation and an independent follow-up in 89,084 additional cases of stroke (30% non-European) and 1,013,843 control individuals, 87% of the primary stroke risk loci and 60% of the secondary stroke risk loci were replicated (P < 0.05). Effect sizes were highly correlated across ancestries. Cross-ancestry fine-mapping, in silico mutagenesis analysis3, and transcriptome-wide and proteome-wide association analyses revealed putative causal genes (such as SH3PXD2A and FURIN) and variants (such as at GRK5 and NOS3). Using a three-pronged approach4, we provide genetic evidence for putative drug effects, highlighting F11, KLKB1, PROC, GP1BA, LAMC2 and VCAM1 as possible targets, with drugs already under investigation for stroke for F11 and PROC. A polygenic score integrating cross-ancestry and ancestry-specific stroke GWASs with vascular-risk factor GWASs (integrative polygenic scores) strongly predicted ischaemic stroke in populations of European, East Asian and African ancestry5. Stroke genetic risk scores were predictive of ischaemic stroke independent of clinical risk factors in 52,600 clinical-trial participants with cardiometabolic disease. Our results provide insights to inform biology, reveal potential drug targets and derive genetic risk prediction tools across ancestries

Stroke genetics informs drug discovery and risk prediction across ancestries

Previous genome-wide association studies (GWASs) of stroke - the second leading cause of death worldwide - were conducted predominantly in populations of European ancestry(1,2). Here, in cross-ancestry GWAS meta-analyses of 110,182 patients who have had a stroke (five ancestries, 33% non-European) and 1,503,898 control individuals, we identify association signals for stroke and its subtypes at 89 (61 new) independent loci: 60 in primary inverse-variance-weighted analyses and 29 in secondary meta-regression and multitrait analyses. On the basis of internal cross-ancestry validation and an independent follow-up in 89,084 additional cases of stroke (30% non-European) and 1,013,843 control individuals, 87% of the primary stroke risk loci and 60% of the secondary stroke risk loci were replicated (P < 0.05). Effect sizes were highly correlated across ancestries. Cross-ancestry fine-mapping, in silico mutagenesis analysis(3), and transcriptome-wide and proteome-wide association analyses revealed putative causal genes (such as SH3PXD2A and FURIN) and variants (such as at GRK5 and NOS3). Using a three-pronged approach(4), we provide genetic evidence for putative drug effects, highlighting F11, KLKB1, PROC, GP1BA, LAMC2 and VCAM1 as possible targets, with drugs already under investigation for stroke for F11 and PROC. A polygenic score integrating cross-ancestry and ancestry-specific stroke GWASs with vascular-risk factor GWASs (integrative polygenic scores) strongly predicted ischaemic stroke in populations of European, East Asian and African ancestry(5). Stroke genetic risk scores were predictive of ischaemic stroke independent of clinical risk factors in 52,600 clinical-trial participants with cardiometabolic disease. Our results provide insights to inform biology, reveal potential drug targets and derive genetic risk prediction tools across ancestries.</p

Peter Pan Return to Never Land

Let your imagination soar as your favorite characters from Peter Pan, Disney\u27s classic adventure, return to Never Land! Wendy\u27s very practical and no-nonsense daughter, Jane, begins the adventure of a lifetime when the infamous Captain Hook whisks her away to the enchanted island of Never Land. It\u27s up to Peter Pan, Tinker Bell and the Lost Boys to help Jane believe in faith, trust and pixie dust. With the firstever Lost Girl at his side, will Peter Pan finally defeat Hook and his swashbuckling band of pirates? Share the power of believing with your family in Return To Never Land

Cerebrovascular Risk Factors and Stroke Subtypes-Differences Between Ethnic Groups

Background and Purpose—The excess risk of stroke seen in the black population has not been explained by differences in age, sex, and social class, although differences in the frequency of cerebrovascular risk factors may be partly responsible. Data on risk factor profiles for the UK black stroke population are sparse. Previous studies have contrasted the association of cerebrovascular risk factors between hemorrhagic and ischemic stroke and between etiologic subtypes of infarct. The relationship of cerebrovascular risk factors to clinical classifications of stroke, however, has been little examined. The aim of this study was to establish the frequency of cerebrovascular risk factors in patients with first-ever strokes in the South London, UK, population and to examine the relationship of these risk factors to both ethnicity and Bamford stroke subtype. Methods—The study included 1254 first-ever stroke patients registered in the South London Community Stroke Register between 1995 and 1998; 995 patients (79.3%) were white, 203 (16.2%) were black, 52 (4.1%) were of other ethnic origin, and 4 (0.3%) were of unknown ethnic origin. Results—In multivariate analysis, increasing age (P,0.001) and previous cerebrovascular disease (P50.007) were independently associated with infarct rather than hemorrhage. Atrial fibrillation was associated with all nonlacunar (P50.02), total anterior circulation (P50.007), and partial anterior circulation infarcts (P50.02) compared with the lacunar group. All other risk factors were similar between infarct subtypes. Risk factors for hemorrhage subtypes were similar in multivariate analysis; increasing age was the only factor associated with primary intracerebral hemorrhage over subarachnoid hemorrhage (P,0.001). The black stroke population suffered significantly less atrial fibrillation (P50.001) and engaged in less alcohol excess (P,0.001) and were less likely to have ever smoked (P,0.001). Hypertension (P,0.001) and diabetes mellitus (P,0.001) were more prevalent in the black population. Conclusions—Physiological cerebrovascular risk factors for the UK black population are similar to those of the US black population, but behavioral risk factors differ. Risk factors differ between ethnic groups in the United Kingdom, and future measures for secondary prevention should take this into consideration. Bamford clinical subtypes bear little association with cerebrovascular risk factors. Other classification systems, such as those that classify stroke by etiology, may be more useful in explaining the excess risk of stroke and the scope for its prevention