Li Ka Shing Foundation

Background: Patients after a transient ischemic attack (TIA) are at high risk of subsequent stroke. There are various scores that aim to accurately identify patients at the highest risk of stroke. However, without comparisons between these scores, it is still unknown which is the score with the best predictive utility. Our study aims to identify the risk stratification score with the highest utility to identify patients at high risk for stroke within 90 days after a TIA. Methods: The MEDLINE and Scopus databases were systematically searched on 1 December 2023 for observational cohort studies assessing the ability of a score to predict a stroke within the first 90 days from the index TIA event. Only studies that had a direct comparison of at least two scores were included. A random-effects network meta-analysis was performed. Sensitivity and specificity, along with relevant 95% credible intervals, and between-score and between-study heterogeneity were estimated. We also estimated relative sensitivities and relative specificities compared with the ABCD2 score. We ranked each score according to its predictive accuracy based on both sensitivity and specificity estimates, using the diagnostic odds ratio (DOR) and the summary receiver operating characteristic (SROC) curve. Results: Our systematic review highlighted 9 studies including 14 discrete cohorts. The performance of all scores to identify patients at high risk for stroke recurrence within 90 days following a TIA was low (pooled sensitivity range 48-64%, pooled specificity range 59-72%). In the network meta-analysis, we analyzed 6 studies with 11 discrete cohorts, including data from 8217 patients. The ABCD3-I score demonstrated the highest DOR, followed by the ESRS, ABCD, California, and ABCD2. The SROC curves demonstrate no significant differences in the performance of the scores, using the ABCD score as the common comparator. Conclusions: In this systematic review and network meta-analysis of observational cohort studies of patients who experienced TIA and were followed for the occurrence of subsequent stroke, we failed to identify a score performing significantly better for the prediction of stroke at 90 days. New models are needed for the prediction and stroke risk stratification following a TIA.

BackgroundRobotic neurointerventions have demonstrated promising initial clinical results. Claims of enhanced precision during robotic navigation have been reported, but objective quantification of such precision is limited. Precision during intracranial navigation and device deployment is crucial in neurovascular interventions, and lack of precision can lead to intraprocedural complications. This study compared quantitative metrics of precision in manual and robotic procedures using a virtual simulator.MethodsUsing three different simulated aneurysm procedures with different levels of difficulty (easy, medium, and hard), 12 operators with different levels of experience were assigned a defined task for each case. Each procedure was performed both manually and under robotic assistance. Precision was assessed using the length of translations and the total degree of rotations of the microwire and microcatheter needed to complete the assigned tasks, as well as recorded safety metrics. Results were compared between the manual and robotic groups.ResultsWe analyzed 78 procedures (robotic, n=34; manual, n=34) performed by 12 operators with various levels of neurointerventional surgical experience (high, n=5; low, n=7). For the difficult case, operators used significantly less microwire translations when operating with robotic assistance (38.7 cm vs 108.4 cm, P=0.023). There were no significant differences for the easy and medium cases. Safety metrics and procedural times were not significant different.ConclusionsOperators demonstrated increased precision during microwire navigation when using robotic assistance to navigate a difficult aneurysm in a controlled simulated experimental set-up compared with manual navigation.

BackgroundHealthcare inequities for patients with traumatic brain injury (TBI) represent a major priority area for trauma quality improvement. We hypothesized a relationship between health insurance status and timing of withdrawal of life sustaining treatment (WLST) for adults with severe TBI.MethodsThis multicenter retrospective observational cohort study utilized data collected between 2017 and 2020. We identified adult (age ≥ 16) patients with isolated severe TBI admitted participating Trauma Quality Improvement Program centers. We determined the relationship between insurance status (public, private, and uninsured) and the timing of WLST using a competing risk survival analysis framework adjusting for baseline, clinical, injury and trauma center characteristics. Multivariable cause-specific Cox regressions were used to compute adjusted hazard ratios (HR) reflecting timing of WLST, accounting for mortality events. We also quantified the between-center residual variability in WLST using the median odds ratio (MOR) and measured insurance status association with access to rehabilitation at discharge.ResultsWe identified 42,111 adults with isolated severe TBI treated across 509 trauma centers across North America. There were 10,771 (25.6%) WLST events in the cohort and a higher unadjusted incidence of WLST events was evident in public insurance patients compared to private or uninsured groups. After adjustment, WLST occurred earlier for publicly insured (HR 1.07, 95% CI 1.02–1.12) and uninsured patients (HR 1.29, 95% CI 1.18–1.41) compared to privately insured patients. Access to rehabilitation was lower for both publicly insured and uninsured patients compared to patients with private insurance. Accounting for case-mix, the MOR was 1.49 (95% CI 1.43–1.55), reflecting significant residual between-center variation in WLST decision-making.ConclusionsOur findings highlight the presence of disparate WLST practices independently associated with health insurance status. Additionally, these results emphasize between-center variability in WLST, persisting despite adjustments for measurable patient and trauma center characteristics.

The Royal Society of Canada Working Group on Health Research System Recovery developed actionable recommendations for organizations to implement to strengthen Canada’s health research system. Recommendations were based on input from participants from G7 countries and Australia and New Zealand. Participants included health research funding agency leaders; research institute leaders; health, public health, and social care policy-makers; researchers; and members of the public. The recommendations were categorized using the World Health Organization’s framework for health research systems and include governance/stewardship: (1) Outline research logistics as part of emergency preparedness to streamline research in future pandemics. (2) Embed equity and inclusion in all research processes. (3) Facilitate streamlined, inclusive, and rigorous processes for grant application preparation and review. (4) Create knowledge mobilization infrastructure to support the generation and use of evidence. (5) Coordinate research efforts across local, provincial, national, and international entities. Financing: (6) Reimagine the funding of health research. Capacity building: (7) Invest in formative training opportunities rooted in equity, diversity, and anti-racism. (8) Support researchers’ career development throughout their career span. (9) Support early career researchers to establish themselves. Producing and using research: (10) Strengthen Indigenous health research and break down systemic barriers to its conduct. (11) Develop mechanisms to produce novel research. (12) Enhance research use across the health research ecosystem.

BackgroundExisting research on sexual satisfaction has been carried out primarily in Western samples, lacking insights from less sexually permissive cultures such as China, particularly in the case of heterosexual and sexual minority women.AimThis study aimed to culturally adapt and validate the New Sexual Satisfaction Scale–Short Form (NSSS-S) in a sample of Chinese women with diverse sexual identities.MethodsThe standard forward-backward translation procedure and cognitive debriefing were conducted to translate the NSSS-S into Mandarin Chinese (NSSS-SC). The psychometric properties of the NSSS-SC were assessed in this cross-sectional survey.OutcomesThe primary outcome measure was the NSSS-S. The World Health Organization Quality of Life–Abbreviated Form, the Positive Sexuality Scale, the Female Sexual Function Index, and a single-item measure of sexual satisfaction were used to test the measure’s validity.ResultsA total of 336 Chinese women were recruited, with an average age of 26.82 years (SD, 6.03; range, 18-56). The 1-dimensional model had a good fit to the data and was invariant across 2 sexual identity groups (cisgender heterosexual and sexual minority women) and age. The NSSS-SC had good reliability; no significant floor and ceiling effects were observed. We found moderate to strong correlations between the NSSS-SC scores and the sexual satisfaction, sexual function, positive sexuality, and quality-of-life indicators. On average, cisgender heterosexual women were characterized by higher sexual satisfaction scores when compared with sexual minority women.Clinical TranslationThe NSSS-SC can be used as a reliable and culturally appropriate measure of sexual satisfaction in women of different ages and sexual identities, which could be used in future sex-related surveys.Strengths and LimitationsThis study is the first to translate the NSSS-S into Chinese and validate the NSSS-SC in a sample of Chinese women with varied sexual identities. However, this study recruited only female participants; future studies should also validate the NSSS-SC in Chinese men.ConclusionThe NSSS-SC is linguistically equivalent to the original scale and has solid psychometric properties, which can be used to assess sexual satisfaction levels in diverse samples of Chinese women.

Hypertension (HT) remains the leading cause of cardiovascular and premature death around the world. Diet is one of the important factors that contributes to the development of HT. We review the current evidence of how different dietary factors may influence blood pressure (BP) and consequent development of HT. There is evidence that BP is positively associated with higher consumption of sodium, alcohol, animal-based protein such as red meat, low-quality carbohydrates such as sugar-sweetened beverages, and saturated fatty acids. On the contrary, other dietary constituents have BP-lowering effects. These include potassium, calcium, magnesium, yogurt, eggs, plant-based proteins such as soy and legumes, mono- and polyunsaturated fatty acids, and high-quality carbohydrates such as whole grain and fruits. Dietary fibre is unrelated to BP lowering, possibly due to the different mechanisms of various types of fibre. The effects of caffeine, hibiscus tea, pomegranate, and sesame on BP are also unclear as evidence is hard to assess due to the varying concentrations and different types of drinks used in studies. Implementing dietary changes such as the Dietary Approaches to Stop Hypertension (DASH diet) or adopting a Mediterranean diet has been shown to reduce and control BP. Although the effect of diet on BP control has been established, the optimal amount of each dietary component and consequent ability to devise a personalized diet for HT prevention and BP control for different populations still require further investigation.

The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement, published in 2009, was designed to help systematic reviewers transparently report why the review was done, what the authors did, and what they found. Over the past decade, advances in systematic review methodology and terminology have necessitated an update to the guideline. The PRISMA 2020 statement replaces the 2009 statement and includes new reporting guidance that reflects advances in methods to identify, select, appraise, and synthesise studies. The structure and presentation of the items have been modified to facilitate implementation. In this article, we present the PRISMA 2020 27-item checklist, an expanded checklist that details reporting recommendations for each item, the PRISMA 2020 abstract checklist, and the revised flow diagrams for original and updated reviews.

Abstract Background Income related inequities in child health are well-established, with children from lower income households showing increased risk of obesity, behavior problems, and delayed development. To facilitate clinical diagnosis, outcomes are conventionally measured in dichotomous terms. However, inequities may exist along the entire range of distribution, with implications for population health. Objectives Our primary objective was to examine differences in the distribution of three measures of child health by income: body mass index (BMI), behavior difficulties and development. Design/Methods This was a cross sectional study of children enrolled in a primary care practice-based research cohort. Our study included generally healthy children recruited from age 0-5 years. Dependent variables were 1) BMI z-score (zBMI) at 5 years; 2) behavior: total score on the Strengths and Difficulties Questionnaire (SDQ), measured at 3-5 years; 3) development: total score on the Infant Toddler Checklist (ITC), measured at 18-24 months. Independent variable was parent-reported annual household income (< $100,000 vs ≥ $100000). We then used distributional decomposition, which uses mathematical re-weighting to construct a counterfactual distribution that describes the distribution of the lower income group based on the predictor profile (child age, sex, birthweight, prematurity, breastfeeding duration; maternal age, education, immigration status, ethnicity) of the higher income group. Results Our study samples consisted of 1649 (zBMI), 764 (SDQ) and 761 (ITC) children. Mean BMI z-score was 0.16, median total difficulties score was 7, median ITC score was 48. Comparing distributions graphically (Figure 1), children with low income have a higher risk distribution for all outcomes; for example, children with low income were more likely to have BMI z-scores in the underweight and obese ranges. For each outcome, the counterfactual curve lower income children with the predictor profile of their higher income counterparts reduced inequities somewhat, particularly in the normal or low risk range, but not in the high-risk range. However, there were notable unexplained portions of inequity remaining. Conclusion In a cohort of generally healthy children, we found evidence of meaningful income-related inequities in the distribution of child zBMI, behavior difficulties, and development. Population health interventions aiming to mitigate these inequities by addressing common predictors may improve outcomes in the normal range; however targeted clinical interventions are likely required for those in the high-risk range.

An abstract is not available for this content. As you have access to this content, full HTML content is provided on this page. A PDF of this content is also available in through the ‘Save PDF’ action button.