Age and sex disparities in cardiovascular risk factor management prior to stroke: Linked registry and general practice data.

INTRODUCTION: There is limited evidence about the management of cardiovascular risk factors within 12 months before stroke/transient ischaemic attack (TIA) in Australian general practices. We evaluated whether age and sex disparities in cardiovascular risk factor management for primary prevention exist in general practice. METHODS: A retrospective cohort study using data from the Australian Stroke Clinical Registry (2014-2018) linked with general practice data from three primary health networks in Victoria, Australia. We included adults who had ≥2 encounters with a general practitioner within 12 months immediately before the first stroke/TIA. Cardiovascular risk factor management within 12 months before stroke/TIA was evaluated in terms of: assessment of risk factors (blood pressure [BP], serum lipids, blood glucose, body weight); prescription of prevention medications (BP, lipid-, glucose-lowering, antithrombotic agents); and attainment of risk factor targets. RESULTS: Of 2,880 patients included (median age 76.5 years, 48.4% women), 80.9% were assessed for BP, 49.9% serum lipids, 46.8% blood glucose, and 39.3% body weight. Compared to patients aged 65-84 years, those aged <65 or ≥85 years were less often assessed for risk factors, with women aged ≥85 years assessed for significantly fewer risk factors than their male counterparts. The most prescribed prevention medications were BP-lowering (64.9%) and lipid-lowering agents (42.0%). There were significant sex differences among those aged <65 years (34.7% women vs. 40.2% men) and ≥85 years (34.0% women vs. 44.3% men) for lipid-lowering agents. Risk factor target attainment was generally poorer in men than women, especially among those aged <65 years. CONCLUSION: Age-sex disparity exists in risk factor management for primary prevention in general practice, and this was more pronounced among younger patients and older women.

Determining the Optimal Methodology for Identifying Incident Stroke Deaths Using Administrative Datasets Within Australia.

BACKGROUND AND AIM: Quantifying stroke incidence and mortality is crucial for disease surveillance and health system planning. Administrative data offer a cost-effective alternative to "gold standard" population-based studies. However, the optimal methodology for establishing stroke deaths from administrative data remains unclear. We aimed to determine the optimal method for identifying stroke-related deaths in administrative datasets as the fatal component of stroke incidence, comparing counts derived using underlying and all causes of death (CoD). METHOD: Using whole-population multijurisdictional person-level linked data from hospital and death datasets from South Australia, the Northern Territory, and Western Australia, we identified first-ever stroke events between 2012 and 2015, using underlying CoD and all CoD to identify fatal stroke counts. We determined the 28-day case fatality for both counts and compared results with gold standard Australian population-based stroke incidence studies. RESULTS: The total number of incident stroke events was 16,150 using underlying CoD and 18,074 using all CoD. Case fatality was 24.7% and 32.7% using underlying and all CoD, respectively. Case fatality using underlying CoD was similar to that observed in four Australian "gold standard" population-based studies (20%-24%). CONCLUSIONS: Underlying CoD generates fatal incident stroke estimates more consistent with population-based studies than estimates based on stroke deaths identified from all-cause fields in death registers.

Incidence of Stroke in Indigenous Populations of Countries With a Very High Human Development Index: A Systematic Review.

BACKGROUND AND OBJECTIVES: Cardiovascular disease contributes significantly to disease burden among many Indigenous populations. However, data on stroke incidence in Indigenous populations are sparse. We aimed to investigate what is known of stroke incidence in Indigenous populations of countries with a very high Human Development Index (HDI), locating the research in the broader context of Indigenous health. METHODS: We identified population-based stroke incidence studies published between 1990 and 2022 among Indigenous adult populations of developed countries using PubMed, Embase, and Global Health databases, without language restriction. We excluded non-peer-reviewed sources, studies with fewer than 10 Indigenous people, or not covering a 35- to 64-year minimum age range. Two reviewers independently screened titles, abstracts, and full-text articles and extracted data. We assessed quality using "gold standard" criteria for population-based stroke incidence studies, the Newcastle-Ottawa Scale for risk of bias, and CONSIDER criteria for reporting of Indigenous health research. An Indigenous Advisory Board provided oversight for the study. RESULTS: From 13,041 publications screened, 24 studies (19 full-text articles, 5 abstracts) from 7 countries met the inclusion criteria. Age-standardized stroke incidence rate ratios were greater in Aboriginal and Torres Strait Islander Australians (1.7-3.2), American Indians (1.2), Sámi of Sweden/Norway (1.08-2.14), and Singaporean Malay (1.7-1.9), compared with respective non-Indigenous populations. Studies had substantial heterogeneity in design and risk of bias. Attack rates, male-female rate ratios, and time trends are reported where available. Few investigators reported Indigenous stakeholder involvement, with few studies meeting any of the CONSIDER criteria for research among Indigenous populations. DISCUSSION: In countries with a very high HDI, there are notable, albeit varying, disparities in stroke incidence between Indigenous and non-Indigenous populations, although there are gaps in data availability and quality. A greater understanding of stroke incidence is imperative for informing effective societal responses to socioeconomic and health disparities in these populations. Future studies into stroke incidence in Indigenous populations should be designed and conducted with Indigenous oversight and governance to facilitate improved outcomes and capacity building. REGISTRATION INFORMATION: PROSPERO registration: CRD42021242367.

Cost-effectiveness of an individualised management program after stroke: a trial-based economic evaluation.

INTRODUCTION: Evidence on the cost-effectiveness of comprehensive post-stroke programs is limited. We assessed the cost-effectiveness of an individualised management program (IMP) for stroke or transient ischaemic attack (TIA). METHODS: A cost-utility analysis alongside a randomised controlled trial with a 2-year follow-up, from both societal and health system perspectives, was conducted. Adults with stroke/TIA discharged from hospitals were randomised by primary care practice to receive either usual care (UC) or an IMP in addition to UC. An IMP included at-home stroke-specific nurse-led education and a specialist review of care plans at baseline, 3, and 12 months, and telephone reviews by nurses at 6 and 18 months. Costs in 2021 Australian dollars (AUD) and quality-adjusted life years (QALYs) were discounted by 5%. The probability of cost-effectiveness of the intervention was determined by quantifying 10,000 bootstrapped iterations of incremental costs and QALYs below the threshold of AUD50,000/QALY. RESULTS: Among the 502 participants (65% male, median age 69 years), 251 (50%) were in the intervention group. From a health system perspective, the incremental cost per QALY gained was AUD53,175 with an IMP compared to UC alone. At a willingness-to-pay threshold of AUD50,000/QALY, an IMP was preferred in 46.7% of iterations. From a societal perspective, the intervention was dominant in 52.7% of iterations with mean per-patient costs of AUD49,045 and 1.352 QALYs compared to mean per-patient costs of AUD51,394 and 1.324 QALYs in the UC group. The probability of cost-effectiveness of an IMP, from a societal perspective, was 60.5%. CONCLUSIONS: Care for people with stroke/TIA using an IMP was cost-effective from a societal perspective over two years. Economic evaluations of prevention programs need sufficient time horizons and consideration of costs beyond direct health care utilisation to demonstrate their value to society.

Risk factors for incident cardiovascular events and their population attributable fractions in rural India: The Rishi Valley Prospective Cohort Study.

OBJECTIVE: We prospectively determined incident cardiovascular events and their association with risk factors in rural India. METHODS: We followed up with 7935 adults from the Rishi Valley Prospective Cohort Study to identify incident cardiovascular events. Using Cox proportional hazards regression, we estimated hazard ratios (HRs) with 95% confidence intervals (95% CI) for associations between potential risk factors and cardiovascular events. Population attributable fractions (PAFs) for risk factors were estimated using R ('averisk' package). RESULTS: Of the 4809 participants without prior cardiovascular disease, 57.7% were women and baseline mean age was 45.3 years. At follow-up (median of 4.9 years, 23,180 person-years [PYs]), 202 participants developed cardiovascular events, equating to an incidence of 8.7 cardiovascular events/1000 PYs. Incidence was greater in those with hypertension (hazard ratio [HR] [95% CI] 1.73 [1.21-2.49], adjusted PAF 18%), diabetes (1.96 [1.15-3.36], 4%) or central obesity (1.77 [1.23, 2.54], 9%) which together accounted for 31% of the PAF. Non-traditional risk factors such as night sleeping hours and number of children accounted for 16% of the PAF. CONCLUSIONS: Both traditional and non-traditional cardiovascular risk factors are important contributors to incident cardiovascular events in rural India. Interventions targeted to these factors could assist in reducing the incidence of cardiovascular events.

Statistical analysis plan for the Recovery-focused Community support to Avoid readmissions and improve Participation after Stroke randomised controlled clinical trial.

BACKGROUND: Unplanned hospital presentations may occur post-stroke due to inadequate preparation for transitioning from hospital to home. The Recovery-focused Community support to Avoid readmissions and improve Participation after Stroke (ReCAPS) trial was designed to test the effectiveness of receiving a 12-week, self-management intervention, comprising personalised goal setting with a clinician and aligned educational/motivational electronic messages. Primary outcome is as follows: self-reported unplanned hospital presentations (emergency department/admission) within 90-day post-randomisation. We present the statistical analysis plan for this trial. METHODS/DESIGN: Participants are randomised 1:1 in variable block sizes, with stratification balancing by age and level of baseline disability. The sample size was 890 participants, calculated to detect a 10% absolute reduction in the proportion of participants reporting unplanned hospital presentations/admissions, with 80% power and 5% significance level (two sided). Recruitment will end in December 2023 when funding is expended, and the sample size achieved will be used. Logistic regression, adjusted for the stratification variables, will be used to determine the effectiveness of the intervention on the primary outcome. Secondary outcomes will be evaluated using appropriate regression models. The primary outcome analysis will be based on intention to treat. A p-value ≤ 0.05 will indicate statistical significance. An independent Data Safety and Monitoring Committee has routinely reviewed the progress and safety of the trial. CONCLUSIONS: This statistical analysis plan ensures transparency in reporting the trial outcomes. ReCAPS trial will provide novel evidence on the effectiveness of a digital health support package post-stroke. TRIAL REGISTRATION: ClinicalTrials.gov ACTRN12618001468213. Registered on August 31, 2018. SAP version 1.13 (October 12 2023) Protocol version 1.12 (October 12, 2022) SAP revisions Nil.

Cost-effectiveness of a government policy to incentivise chronic disease management following stroke: a modelling study.

BACKGROUND: Little is known about the cost-effectiveness of government policies that support primary care physicians to provide comprehensive chronic disease management (CDM). AIMS: To estimate the potential cost-effectiveness of CDM policies, over a lifetime, in long-time survivors of stroke. METHODS: A Markov model, using three health states (stable, hospitalised, dead), was developed to simulate the costs and benefits of CDM policies over 30 years (with 1-year cycles). Transition probabilities and costs from a health system perspective were obtained from the linkage of data between the Australian Stroke Clinical Registry (cohort n=12,368, 42% female, median age 70 years, 45% had a claim) and government-held hospital, Medicare, and pharmaceutical claims datasets. Quality-adjusted life years (QALYs) were obtained from a comparable cohort (n=512, 34% female, median age 69.6 years, 52% had a claim) linked with Medicare claims and death data. A 3% discount rate was applied to costs in Australian dollars (AUD, 2016) and QALYs beyond 12 months. Probabilistic sensitivity analyses were used to understand uncertainty. RESULTS: Per-person average total lifetime costs were AUD142,939 and 8.97 QALYs for those with a claim, and AUD103,889 and 8.98 QALYs for those without a claim. This indicates that these CDM policies were costlier without improving QALYs. The probability of cost-effectiveness of CDM was 26.1%, at a willingness-to-pay threshold of AUD50,000/QALY. CONCLUSION: CDM policies, designed to encourage comprehensive care, are unlikely to be cost-effective for stroke compared to care without CDM. Further research to understand how to deliver such care in a cost-effective manner is needed.

Comparison of the performance of cardiovascular risk prediction tools in rural India: the Rishi Valley Prospective Cohort Study.

AIMS: We compared the performance of cardiovascular risk prediction tools in rural India. METHODS AND RESULTS: We applied the World Health Organization Risk Score (WHO-RS) tools, Australian Risk Score (ARS), and Global risk (Globorisk) prediction tools to participants aged 40-74 years, without prior cardiovascular disease, in the Rishi Valley Prospective Cohort Study, Andhra Pradesh, India. Cardiovascular events during the 5-year follow-up period were identified by verbal autopsy (fatal events) or self-report (non-fatal events). The predictive performance of each tool was assessed by discrimination and calibration. Sensitivity and specificity of each tool for identifying high-risk individuals were assessed using a risk score cut-off of 10% alone or this 10% cut-off plus clinical risk criteria of diabetes in those aged >60 years, high blood pressure, or high cholesterol. Among 2333 participants (10 731 person-years of follow-up), 102 participants developed a cardiovascular event. The 5-year observed risk was 4.4% (95% confidence interval: 3.6-5.3). The WHO-RS tools underestimated cardiovascular risk but the ARS overestimated risk, particularly in men. Both the laboratory-based (C-statistic: 0.68 and χ2: 26.5, P = 0.003) and non-laboratory-based (C-statistic: 0.69 and χ2: 20.29, P = 0.003) Globorisk tools showed relatively good discrimination and agreement. Addition of clinical criteria to a 10% risk score cut-off improved the diagnostic accuracy of all tools. CONCLUSION: Cardiovascular risk prediction tools performed disparately in a setting of disadvantage in rural India, with the Globorisk performing best. Addition of clinical criteria to a 10% risk score cut-off aids assessment of risk of a cardiovascular event in rural India. LAY SUMMARY: In a cohort of people without prior cardiovascular disease, tools used to predict the risk of cardiovascular events varied widely in their ability to accurately predict who would develop a cardiovascular event.The Globorisk, and to a lesser extent the ARS, tools could be appropriate for this setting in rural India.Adding clinical criteria, such as sustained high blood pressure, to a cut-off of 10% risk of a cardiovascular event within 5 years could improve identification of individuals who should be monitored closely and provided with appropriate preventive medications.

Risk Factors Associated with Major Adverse Cardiovascular Events after Ischemic Stroke: A Linked Registry Study.

INTRODUCTION: Survivors of stroke are at risk of experiencing subsequent major adverse cardiovascular events (MACE). We aimed to determine the incidence of, and risk factors for, MACE after first-ever ischemic stroke, by age group (18-64 years vs. ≥65 years). METHODS: Observational cohort study using patient-level data from the Australian Stroke Clinical Registry (2009-2013), linked with hospital administrative data. We included adults with first-ever ischemic stroke who had no previous acute cardiovascular admissions and followed these patients for 2 years post-discharge, or until the first post-stroke MACE event. A Fine-Gray sub-distribution hazard model, accounting for the competing risk of non-cardiovascular death, was used to determine factors for incident post-stroke MACE. RESULTS: Among 5,994 patients with a first-ever ischemic stroke (median age 73 years, 45% female), 17% were admitted for MACE within 2 years (129 events per 1,000 person-years). The median time to first post-stroke MACE was 117 days (89 days if aged <65 years vs. 126 days if aged ≥65 years; p = 0.025). Among patients aged 18-64 years, receiving intravenous thrombolysis (sub-distribution hazard ratio [SHR] 0.51 [95% CI, 0.28-0.92]) or being discharged to inpatient rehabilitation (SHR 0.65 [95% CI, 0.46-0.92]) were associated with a reduced incidence of post-stroke MACE. In those aged ≥65 years, being unable to walk on admission (SHR 1.33 [95% CI 1.15-1.54]), and history of smoking (SHR 1.40 [95% CI 1.14-1.71]) or atrial fibrillation (SHR 1.31 [95% CI 1.14-1.51]) were associated with an increased incidence of post-stroke MACE. Acute management in a large hospital (>300 beds) for the initial stroke event was associated with reduced incidence of post-stroke MACE, irrespective of age group. CONCLUSIONS: MACE is common within 2 years of stroke, with most events occurring within the first year. We have identified important factors to consider when designing interventions to prevent MACE after stroke, particularly among those aged <65 years.

In Search of a Gold Standard Tool for Assessing Knowledge of Stroke: A Systematic Review.

BACKGROUND: Knowledge of stroke is essential to empower people to reduce their risk of events. However, valid tools are required for accurate and reliable measurement of stroke knowledge. We aimed to systematically review contemporary stroke knowledge assessment tools and appraise their content validity, feasibility, and measurement properties. METHODS: The protocol was registered in PROSPERO (CRD42023403566). Electronic databases (MEDLINE, PsycInfo, CINAHL, Embase, Scopus, Web of Science) were searched to identify published articles (01/Jan/2015-01/Mar/2023), in which stroke knowledge was assessed using a validated tool. Two reviewers independently screened titles and abstracts prior to undertaking full-text review. COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) methods guided the appraisal of content validity (relevance, comprehensiveness, comprehensibility), feasibility, and measurement properties. RESULTS: After removing duplicates, the titles and abstracts of 718 articles were screened; 323 reviewed in full; with 42 included (N=23 unique stroke knowledge tools). For content validity, all tools were relevant, two were comprehensive, and six were comprehensible. Validation metrics were reported for internal consistency (n=20 tools), construct validity (n=17 tools), cross-cultural validity (n=15 tools), responsiveness (n=9 tools), reliability (n=7 tools), structural validity (n=3 tools), and measurement error (n=1 tool). The Stroke Knowledge Test met all content validity criteria, with validation data for six measurement properties (n=3 rated 'Sufficient'). CONCLUSION: Assessment of stroke knowledge is not standardised and many tools lacked validated content or measurement properties. The Stroke Knowledge Test was the most comprehensive, but requires updating and further validation for endorsement as a gold standard.

Socioeconomic status and health-related quality of life after stroke: a systematic review and meta-analysis.

BACKGROUND: Socioeconomic status (SES) is associated with stroke occurrence and survival following stroke but its association with health-related quality of life (HRQoL) following stroke remains uncertain. We performed a systematic review and meta-analysis to examine the association between SES and HRQoL after stroke. METHODS: PubMed, SCOPUS, EMBASE, and Web of Science were searched to identify relevant cohort and case-control studies between January 2000 and May 2022. Two authors screened titles, abstracts and full text articles. One author extracted data from all included studies. Meta-analyses were performed for studies with comparable measurements of SES and HRQoL. Random effects models were used to estimate pooled summary standardised mean differences in HRQoL by SES. RESULTS: Out of 1,876 citations, 39 studies incorporated measurement of overall HRQoL following stroke and were included in the systematic review, with 17 studies included in the meta-analyses. Overall, reports including education, income, occupation and work status effects on HRQoL after stroke were inconsistent among all included 39 studies. In the global meta-analysis of 17 studies, HRQoL among survivors of stroke was lower in the low SES group than in the high SES group (standardised mean difference (SMD) -0.36, 95% CI -0.52, -0.20, p < 0.0001). When using education and income indicators separately, summary effects were similar to those of the global analysis (low versus high education SMD -0.38, 95% CI -0.57, -0.18, p < 0.0001; low versus high income SMD -0.39, 95% CI -0.59, -0.19, p < 0.0001). CONCLUSIONS: Across all SES indicators, people with stroke who have lower SES have poorer overall HRQoL than those with higher SES. Accessibility and affordability of poststroke support services should be taken into consideration when planning and delivering services to people with low SES.

Differing Definitions of First-Ever Stroke Influence Incidence Estimates More than Trends: A Study Using Linked Administrative Data.

INTRODUCTION: Researchers apply varying definitions when measuring stroke incidence using administrative data. We aimed to investigate the sensitivity of incidence estimates to varying definitions of stroke and lookback periods and to provide updated incidence rates and trends for Western Australia (WA). METHODS: We used linked state-wide hospital and death data from 1985 to 2017 to identify incident strokes from 2005 to 2017. A standard definition was applied which included strokes coded as the principal hospital diagnosis or the underlying cause of death, with a 10-year lookback used to clear prevalent cases. Alternative definitions were compared against the standard definition by percentage difference in case numbers. Age-standardised incidence rates were calculated, and age- and sex-adjusted Poisson regression models were used to estimate incidence trends. RESULTS: The standard definition with a 10-year lookback period captured 31,274 incident strokes. Capture increased by 19.3% when including secondary diagnoses, 4.1% when including nontraumatic subdural and extradural haemorrhage, and 8.1% when including associated causes of death. Excluding death records reduced capture by 11.1%. A 20-year lookback reduced over-ascertainment by 2.0%, and a 1-year lookback increased capture by 13.3%. Incidence declined 0.6% annually (95% confidence interval -0.9, -0.3). Annual reductions were similar for most definitions except when death records were excluded (-0.1%, CI: -0.4, 0.2) and with the shortest lookback periods (greatest annual reduction). CONCLUSION: Stroke incidence has declined in WA. Differing methods of identifying stroke influence estimates of incidence to a greater extent than estimates of trends. Reductions in stroke incidence over time are primarily driven by declines in fatal strokes.

Intraoperative hemodynamics and risk of cardiac surgery-associated acute kidney injury: An observation study and a feasibility clinical trial.

Targeting greater pump flow and mean arterial pressure (MAP) during cardiopulmonary bypass (CPB) could potentially alleviate renal hypoxia and reduce the risk of postoperative acute kidney injury (AKI). Therefore, in an observational study of 93 patients undergoing on-pump cardiac surgery, we tested whether intraoperative hemodynamic management differed between patients who did and did not develop AKI. Then, in 20 patients, we assessed the feasibility of a larger-scale trial in which patients would be randomized to greater than normal target pump flow and MAP, or usual care, during CPB. In the observational cohort, MAP during hypothermic CPB averaged 68.8 ± 8.0 mmHg (mean ± SD) in the 36 patients who developed AKI and 68.9 ± 6.3 mmHg in the 57 patients who did not (p = 0.98). Pump flow averaged 2.4 ± 0.2 L/min/m2 in both groups. In the feasibility clinical trial, compared with usual care, those randomized to increased target pump flow and MAP had greater mean pump flow (2.70 ± 0.23 vs. 2.42 ± 0.09 L/min/m2 during the period before rewarming) and systemic oxygen delivery (363 ± 60 vs. 281 ± 45 mL/min/m2 ). Target MAP ≥80 mmHg was achieved in 66.6% of patients in the intervention group but in only 27.3% of patients in the usual care group. Nevertheless, MAP during CPB did not differ significantly between the two groups. We conclude that little insight was gained from our observational study regarding the impact of variations in pump flow and MAP on the risk of AKI. However, a clinical trial to assess the effects of greater target pump flow and MAP on the risk of AKI appears feasible.

The population effect of a national policy to incentivize chronic disease management in primary care in stroke: a population-based cohort study using an emulated target trial approach.

Background: Governments are investing in primary care policies that support chronic disease management. Large scale population-based evaluations are lacking. We aim to determine the effectiveness of government-funded chronic disease management policies to improve long-term outcomes (survival, hospital presentations, and preventive medication adherence) following stroke/Transient Ischemic Attack (TIA). Methods: Using a population-based cohort we utilized the target trial methodology. Participants were identified through the Australian Stroke Clinical Registry (January 2012-December 2016) from 42 hospitals in the states of Victoria and Queensland and linked with state and national hospital, primary care, pharmaceutical, aged care, and death datasets. Registrants living in the community, not receiving palliative care and who survived to 18 months following stroke/TIA were included. The comparison was a Medicare claim for policy-supported chronic disease management, 7-18 months following stroke/TIA versus usual care. Outcomes were modelled using multi-level, mixed-effects inverse probability of treatment weighted regression. Findings: 12,368 registrants were eligible (42% female, median age 70 years, 26% TIA), 45% had a chronic disease management claim. The difference in mean outcomes for participants with a claim, compared to those without, showed a 26% lesser mortality rate (adjusted hazard ratio [aHR]: 0.74, 95% confidence interval [CI]: 0.62, 0.87) and a greater adjusted Odds Ratio [aOR] of being adherent with preventive medications: antithrombotics (aOR: 1.16, 95% CI: 1.07, 1.26); lipid-lowering (aOR: 1.23, 95% CI: 1.13, 1.33). Impacts on hospital presentations were variable. Interpretation: Government policies that financially support primary care physicians to provide structured chronic disease management improve survival in the long-term following stroke/TIA. Funding: National Health and Medical Research Council Australia.

Incidence of Stroke in the Aboriginal and Non-Aboriginal Populations of Australia: A Data Linkage Study.

BACKGROUND: Most estimates of stroke incidence among Aboriginal and Torres Strait Islander (hereinafter Aboriginal) Australians are confined to single regions and include small sample sizes. We aimed to measure and compare stroke incidence in Aboriginal and non-Aboriginal residents across central and western Australia. METHODS: Whole-population multijurisdictional person-linked data from hospital and death datasets were used to identify stroke admissions and stroke-related deaths (2001-2015) in Western Australia, South Australia, and the Northern Territory. Fatal (including out-of-hospital deaths) and nonfatal incident (first-ever) strokes in patients aged 20-84 years were identified during the 4-year study period (2012-2015), using a 10-year lookback period to exclude people with prior stroke. Incidence rates per 100 000 population/year were estimated for Aboriginal and non-Aboriginal populations, age-standardized to the World Health Organization World Standard population. RESULTS: In a population of 3 223 711 people (3.7% Aboriginal), 11 740 incident (first-ever) strokes (20.6% regional/remote location of residence; 15.6% fatal) were identified from 2012 to 2015, 675 (5.7%) in Aboriginal people (73.6% regional/remote; 17.0% fatal). Median age of Aboriginal cases (54.5 years; 50.1% female) was 16 years younger than non-Aboriginal cases (70.3 years; 44.1% female; P<0.001), with significantly greater prevalence of comorbidities. Age-standardized stroke incidence in Aboriginal people (192/100 000 [95% CI, 177-208]) was 2.9-fold greater than in non-Aboriginal people (66/100 000 [95% CI, 65-68]) aged 20-84 years; fatal incidence was 4.2-fold greater (38/100 000 [95% CI, 31-46] versus 9/100 000 [95% CI, 9-10]). Disparities were particularly apparent at younger ages (20-54 years), where age-standardized stroke incidence was 4.3-fold greater in Aboriginal people (90/100 000 [95% CI, 81-100]) than non-Aboriginal people (21/100 000 [95% CI, 20-22]). CONCLUSIONS: Stroke occurred more commonly, and at younger ages, in Aboriginal than non-Aboriginal populations. Greater prevalence of baseline comorbidities was present in the younger Aboriginal population. Improved primary prevention is required. To optimize stroke prevention, interventions should include culturally appropriate community-based health promotion and integrated support for nonmetropolitan health services.

Sustainability of a 12-month lifestyle intervention delivered by community health workers in reducing blood pressure in Nepal: 5-year follow-up of the COBIN open-label, cluster randomised trial.

BACKGROUND: The sustainability and scalability of limited-duration interventions in low-income and middle-income countries remain unclear. We aimed to investigate the sustainability in reduction of blood pressure through a 12-month lifestyle intervention led by community health workers to reduce blood pressure in Nepal, 4 years after the intervention ceased. METHODS: The Community-Based Intervention for Control of Hypertension in Nepal (COBIN) trial was a non-blinded, cluster-randomised trial done in Kaski, Nepal. Adults aged 25-65 years were eligible. People were excluded if they declined consent, were severely ill, unlikely to be in the community throughout the intervention, or pregnant. During the 12-month intervention, female community health volunteers (FCHVs) visited participants in the intervention groups and provided lifestyle counselling and blood pressure measurement every 4 months. At the end of the 12-month intervention, systolic blood pressure was significantly lower in the intervention group than in the usual care group in all cohorts, ranging from -2·3 mm Hg (95% CI -3·8 to -0·8) lower in those with normal blood pressure to -4·9 mm Hg (-7·8 to -2·0) in the hypertensive cohort. The primary outcome for this follow-up study was a mean change in systolic blood pressure from baseline to follow-up at 60 months. We did an intention-to-treat analysis. FINDINGS: Between April 1, 2015, and Dec 31, 2015, 1638 participants were recruited in COBIN (939 [57·3%] assigned to intervention and 699 [42·7%] assigned to usual care). Of the 1468 (89·6%) who completed the 12-month assessments, we followed up 1352 (92·1%) participants at 60 months, between Oct 11, 2020, and May 5, 2022. 964 (71·3%) participants were women and 388 (28·7%) were men. From baseline to 60 months, the mean systolic blood pressure increased by 10·4 mm Hg (95% CI 9·1-11·6) in the intervention group and 6·0 mm Hg (4·6-7·5) in the usual care group (adjusted mean difference 4·1 mm Hg [2·2 to 5·8]). INTERPRETATION: Lifestyle counselling and blood pressure monitoring by community health workers is effective in substantially reducing blood pressure while adults are being monitored in a trial but, following cessation of the intervention, this benefit is not maintained in the long term, with potential for harm. This finding could have important implications for funders and research communities to regularly target participants for education and follow-up at an optimal timepoint to reduce any likelihood of harm. FUNDING: Monash University (Melbourne, VIC, Australia) and the Jayanti Memorial Trust (Kathmandu, Nepal). TRANSLATION: For the Nepali translation of the abstract see Supplementary Materials section.

Effect of alteplase, benzodiazepines and beta-blocker on post-stroke pneumonia: Exploration of VISTA-Acute.

BACKGROUND: Post-stroke pneumonia is a frequent complication of stroke and is associated with high mortality. Investigators have described its associations with beta-blocker. However, there has been no evaluation of the role of recombinant tissue plasminogen activator (RTPA). We postulate that RTPA may modify the effect of stroke on pneumonia by reducing stroke disability. We explore this using data from neuroprotection trials in Virtual International Stroke Trials Archive (VISTA)-Acute. METHOD: We evaluated the impact of RTPA and other medications in random forest model. Random forest is a type of supervised ensemble tree-based machine learning method. We used the standard approach for performing random forest and partitioned the data into training (70%) and validation (30%) sets. This action enabled to the model developed on training data to be evaluated in the validation data. We borrowed idea from Coalition Game Theory on fair distribution of marginal profit (Shapley value) to determine proportional contribution of a covariate to the model. Consistent with other analysis using the VISTA-Acute data, the diagnosis of post-stroke pneumonia was based on reports of serious adverse events. RESULTS: The overall frequency of pneumonia was 10.9% (614/5652). It was present in 11.5% of the RTPA (270/2358) and 10.4% (344/3295) of the no RTPA groups. There was significant (p<0.05) imbalance in covariates (age, baseline National Institutes of Health Stroke Scale (NIHSS), diabetes, and sex). The AUC for training data was 0.70 (95% CI 0.65-0.76), validation data was 0.67 (95% CI 0.62-0.73). The Shapley value shows that baseline NIHSS (≥10) and age (≥80) made the largest contribution to the model of pneumonia while absence of benzodiazepine may protect against pneumonia. RTPA and beta-blocker had very low effect on frequency of pneumonia. CONCLUSION: In this cohort pneumonia was strongly associated with stroke severity and age whereas RTPA had a much lower effect. An intriguing finding is a possible association between benzodiazepine and pneumonia but this requires further evaluation.

Combining general and central measures of adiposity to identify risk of hypertension: a cross-sectional survey in rural India.

AIM: In three socioeconomically diverse regions of rural India, we determined the optimal cut-offs for definition of overweight, the prevalence of overweight, and the relationships between measures of overweight and risk of hypertension. SUBJECTS AND METHODS: Villages were randomly sampled within rural Trivandrum, West Godavari, and Rishi Valley. Sampling of individuals was stratified by age group and sex. Cut-offs for measures of adiposity were compared using area under the receiver operating characteristic curve. Associations between hypertension and definitions of overweight were assessed by logistic regression. RESULTS: Of 11 657 participants (50 % male; median age 45 years), 29.8 % had hypertension. Large proportions were overweight as defined by body mass index (BMI) ≥ 23 kg/m2 (47.7 %), waist circumference (WC) ≥ 90 cm for men or ≥ 80 cm for women (39.6 %), waist-hip ratio (WHR) ≥ 0.9 for men or ≥ 0.8 for women (65.6 %), waist-height ratio (WHtR) ≥ 0.5 (62.5 %), or by BMI plus either WHR, WC or WHtR (45.0 %). All definitions of overweight were associated with hypertension, with optimal cut-offs being at, or close to, the World Health Organization (WHO) Asia-Pacific standards. Having overweight according to both BMI and a measure of central adiposity was associated with approximately twice the risk of hypertension than overweight defined by only one measure. CONCLUSIONS: Overweight, as assessed by both general and central measures, is prevalent in rural southern India. WHO standard cut-offs are appropriate in this setting for assessing risk of hypertension. However, combining BMI with a measure of central adiposity identifies risk of hypertension better than any single measure. The risk of hypertension is significantly greater in those centrally and generally overweight than those overweight by a single measure.

Area-level and individual-level socio-economic differences in health-related quality of life trajectories: Results from a 10-year longitudinal stroke study.

BACKGROUND: We examined area-level (aSES) and individual-level (iSES) socio-economic status on trajectories of HRQoL to 10 years following stroke. METHODS: Participants with strokes between 1/5/1996 and 30/4/1999 completed the Assessment of Quality of Life instrument (AQoL, range: -0.04 [worse than death] to 0 [death] to 1 [full health]) at ≥one of 3month, 6-month, 1-year, 2-year, 3-year, 4-year, 5-year, 7-year and 10-year interviews after stroke. Sociodemographic and health information were collected at baseline. We derived aSES from postcode using the Australian Socio-Economic Indexes For Area (2006) (categories: high, medium, low), and iSES from lifetime occupation (categories: non-manual, manual). Multivariable linear mixed effects modelling was used to estimate trajectories of HRQoL over 10 years, by aSES and iSES, adjusting for age, sex, cardiovascular disease, smoking, diabetes, stroke severity, stroke type, and the time influence on age and health conditions. RESULTS: Of 1,686 participants enrolled, we excluded 239 with 'possible' stroke and 284 with missing iSES. Among the remaining 1,163 participants, 1,123 (96.6%) had AQoL assessed at ≥3 timepoints. In multivariable analysis, over time, people in the medium aSES group had mean 0.02 (95% CI -0.06, 0.02) greater reduction in AQoL score, and people in the low aSES group had mean 0.04 (95% CI, -0.07, -0.001) greater reduction, than those in the high aSES group. Manual workers had an average 0.04 (95% CI, -0.07, -0.01) greater reduction in AQoL score over time than non-manual workers. CONCLUSIONS: Over time, HRQoL declines in all people with stroke, declining most rapidly in lower SES groups.

Strategies to Reduce Racial and Ethnic Inequities in Stroke Preparedness, Care, Recovery, and Risk Factor Control: A Scientific Statement From the American Heart Association.

Stroke is a disease of disparities, with tremendous racial and ethnic inequities in incidence, prevalence, treatment, and outcomes. The accumulating literature on the relationship between stroke and social determinants of health (ie, the structural conditions of the places where people live, learn, work, and play) contributes to our understanding of stroke inequities. Several interventions have been tested concurrently to reduce racial and ethnic inequities in stroke preparedness, care, recovery, and risk factor control. It is regrettable that no common theoretical framework has been used to facilitate comparison of interventions. In this scientific statement, we summarize, across the stroke continuum of care, trials of interventions addressing racial and ethnic inequities in stroke care and outcomes. We reviewed the literature on interventions to address racial and ethnic inequities to identify gaps and areas for future research. Although numerous trials tested interventions aimed at reducing inequities in prehospital, acute care, transitions in care, and poststroke risk factor control, few addressed inequities in rehabilitation, recovery, and social reintegration. Most studies addressed proximate determinants (eg, medication adherence, health literacy, and health behaviors), but upstream determinants (eg, structural racism, housing, income, food security, access to care) were not addressed. A common theoretical model of social determinants can help researchers understand the heterogeneity of social determinants, inform future directions in stroke inequities research, support research in understudied areas within the continuum of care, catalyze implementation of successful interventions in additional settings, allow for comparison across studies, and provide insight into whether addressing upstream or downstream social determinants has the strongest effect on reducing inequities in stroke care and outcomes.