Is communication key in stroke rehabilitation and recovery? National linked stroke data study

BACKGROUND

Information on the characteristics or long-term outcomes of people with communication support needs post-stroke is limited. We investigated associations between communication gains in rehabilitation and long-term outcomes (quality-of-life [EuroQOL-ED-3 L], mortality) by post-stroke communication support need status.

METHODS

Retrospective cohort study using person-level linked data from the Australian Stroke Clinical Registry and the Australasian Rehabilitation Outcomes Centre (2014-2017). Communication support needs were assessed using the Functional Independence Measure™ comprehension and expression items recorded on admission indicated by scores one (total assistance) to five (standby prompting). Multivariable multilevel and Cox regression models were used to determine associations with long-term outcomes.

RESULTS

Of 8,394 patients who received in-patient rehabilitation after stroke (42% female, median age 75.6 years), two-thirds had post-stroke communication support needs. Having aphasia (odds ratio [OR] 4.34, 95% CI 3.67-5.14), being aged ≥65 years (OR 1.21, 95% CI 1.08-1.36), greater stroke severity (unable to walk on admission; OR 1.48, 95% CI 1.32-1.68) and previous stroke (OR 1.25, 95% CI 1.11-1.41) were associated with increased likelihoods of having communication support needs. One-point improvement in FIM™ expression was associated with reduced likelihood of self-reporting problems related to mobility (OR 0.85, 95% CI: 0.80-0.90), self-care (OR 0.79, 95% CI: 0.74-0.86) or usual activities (OR 0.84, 95% CI: 0.75-0.94) at 90-180 days. Patients with communication support needs had greater mortality rates within one-year post-stroke (adjusted hazard ratio 1.99, 95% CI: 1.65-2.39).

CONCLUSIONS

Two-thirds of patients with stroke require communication support to participate in healthcare activities. Establishing communication-accessible stroke care environments is a priority.

Comprehensive quality assessment for aphasia rehabilitation after stroke: protocol for a multicentre, mixed-methods study

INTRODUCTION

People with aphasia following stroke experience disproportionally poor outcomes, yet there is no comprehensive approach to measuring the quality of aphasia services. The Meaningful Evaluation of Aphasia SeRvicES (MEASuRES) minimum dataset was developed in partnership with people with lived experience of aphasia, clinicians and researchers to address this gap. It comprises sociodemographic characteristics, quality indicators, treatment descriptors and outcome measurement instruments. We present a protocol to pilot the MEASuRES minimum dataset in clinical practice, describe the factors that hinder or support implementation and determine meaningful thresholds of clinical change for core outcome measurement instruments.

METHODS AND ANALYSIS

This research aims to deliver a comprehensive quality assessment toolkit for poststroke aphasia services in four studies. A multicentre pilot study (study 1) will test the administration of the MEASuRES minimum dataset within five Australian health services. An embedded mixed-methods process evaluation (study 2) will evaluate the performance of the minimum dataset and explore its clinical applicability. A consensus study (study 3) will establish consumer-informed thresholds of meaningful change on core aphasia outcome constructs, which will then be used to establish minimal important change values for corresponding core outcome measurement instruments (study 4).

ETHICS AND DISSEMINATION

Studies 1 and 2 have been registered with the Australian and New Zealand Clinical Trial Registry (ACTRN12623001313628). Ethics approval has been obtained from the Royal Brisbane and Women's Hospital (HREC/2023/MNHB/95293) and The University of Queensland (2022/HE001946 and 2023/HE001175). Study findings will be disseminated through peer-reviewed publications, conference presentations and engagement with relevant stakeholders including healthcare providers, policy-makers, stroke and rehabilitation audit and clinical quality registry custodians, consumer support organisations, and individuals with aphasia and their families.

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.

Global stroke statistics 2023: Availability of reperfusion services around the world

BACKGROUND

Disparities in the availability of reperfusion services for acute ischemic stroke are considerable globally and require urgent attention. Contemporary data on the availability of reperfusion services in different countries are used to provide the necessary evidence to prioritize where access to acute stroke treatment is needed.

AIMS

To provide a snapshot of published literature on the provision of reperfusion services globally, including when facilitated by telemedicine or mobile stroke unit services.

METHODS

We searched PubMed to identify original articles, published up to January 2023 for the most recent, representative, and relevant patient-level data for each country. Keywords included thrombolysis, endovascular thrombectomy and telemedicine. We also screened reference lists of review articles, citation history of articles, and the gray literature. The information is provided as a narrative summary.

RESULTS

Of 11,222 potentially eligible articles retrieved, 148 were included for review following de-duplications and full-text review. Data were also obtained from national stroke clinical registry reports, Registry of Stroke Care Quality (RES-Q) and PRE-hospital Stroke Treatment Organization (PRESTO) repositories, and other national sources. Overall, we found evidence of the provision of intravenous thrombolysis services in 70 countries (63% high-income countries (HICs)) and endovascular thrombectomy services in 33 countries (68% HICs), corresponding to far less than half of the countries in the world. Recent data (from 2019 or later) were lacking for 35 of 67 countries with known year of data (52%). We found published data on 74 different stroke telemedicine programs (93% in HICs) and 14 active mobile stroke unit pre-hospital ambulance services (80% in HICs) around the world.

CONCLUSION

Despite remarkable advancements in reperfusion therapies for stroke, it is evident from available patient-level data that their availability remains unevenly distributed globally. Contemporary published data on availability of reperfusion services remain scarce, even in HICs, thereby making it difficult to reliably ascertain current gaps in the provision of this vital acute stroke treatment around the world.

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.

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.

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.

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.

Factors Associated With Transition From Community to Permanent Residential Aged Care Following Stroke: A Linked Registry Data Study

BACKGROUND

Understanding factors that influence the transition to permanent residential aged care following a stroke or transient ischemic attack may inform strategies to support people to live at home longer. We aimed to identify the demographic, clinical, and system factors that may influence the transition from living in the community to permanent residential care in the 6 to 18 months following stroke/transient ischemic attack.

METHODS

Linked data cohort analysis of adults from Queensland and Victoria aged ≥65 years and registered in the Australian Stroke Clinical Registry (2012-2016) with a clinical diagnosis of stroke/transient ischemic attack and living in the community in the first 6 months post-hospital discharge. Participant data were linked with primary care, pharmaceutical, aged care, death, and hospital data. Multivariable survival analysis was performed to determine demographic, clinical, and system factors associated with the transition to permanent residential care in the 6 to 18 months following stroke, with death modeled as a competing risk.

RESULTS

Of 11 176 included registrants (median age, 77.2 years; 44% female), 520 (5%) transitioned to permanent residential care between 6 and 18 months. Factors most associated with transition included the history of urinary tract infections (subhazard ratio [SHR], 1.41 [95% CI, 1.16-1.71]), dementia (SHR, 1.66 [95% CI, 1.14-2.42]), increasing age (65-74 versus 85+ years; SHR, 1.75 [95% CI, 1.31-2.34]), living in regional Australia (SHR, 31 [95% CI, 1.08-1.60]), and aged care service approvals: respite (SHR, 4.54 [95% CI, 3.51-5.85]) and high-level home support (SHR, 1.80 [95% CI, 1.30-2.48]). Protective factors included being dispensed antihypertensive medications (SHR, 0.68 [95% CI, 0.53-0.87]), seeing a cardiologist (SHR, 0.72 [95% CI, 0.57-0.91]) following stroke, and less severe stroke (SHR, 0.71 [95% CI, 0.58-0.88]).

CONCLUSIONS

Our findings provide an improved understanding of factors that influence the transition from community to permanent residential care following stroke and can inform future strategies designed to delay this transition.

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 these 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 (1 January 2015-1 March 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 seven 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.

A Scoping Review of mHealth Interventions for Secondary Prevention of Stroke: Implications for Policy and Practice

Secondary prevention is a major priority for those living with stroke and may be improved through the use of mobile Health (mHealth) interventions. While evidence for the effectiveness of mHealth interventions for secondary prevention of stroke is growing, little attention has been given to the translation of these interventions into real-world use. In this review, we aimed to provide an update on the effectiveness of mHealth interventions for secondary prevention of stroke, and investigate their translation into real-world use. Four electronic databases and the gray literature were searched for randomized controlled trials of mHealth interventions for secondary prevention of stroke published between 2010 and 2023. Qualitative and mixed-methods evaluations of the trials were also included. Data were extracted regarding study design, population, mHealth technology involved, the intervention, and outcomes. Principal researchers from these trials were also contacted to obtain further translational information. From 1151 records, 13 randomized controlled trials and 4 evaluations were identified; sample sizes varied widely (median, 56; range, 24-4298). Short message service messages (9/13) and smartphone applications (6/13) were the main technologies used to deliver interventions. Primary outcomes of feasibility of the intervention were achieved in 4 trials, and primary outcomes of changes in risk factors, lifestyle behaviors, and adherence to medication improved in 6 trials. Only 1 trial had a hard end point (ie, stroke recurrence) as a primary outcome, and no significant differences were observed between groups. There was evidence for only 1 intervention being successfully translated into real-world use. Further evidence is required on the clinical effectiveness of mHealth interventions for preventing recurrent stroke, and the associated delivery costs and cost-effectiveness, before adoption into real-world settings.

Twenty years of monitoring acute stroke care in Australia through the national stroke audit programme (1999-2019): A cross-sectional study

BACKGROUND

National organisational surveys and clinical audits to monitor and guide improvements to the delivery of evidence-based acute stroke care have been undertaken in Australia since 1999. This study aimed to determine the association between repeated national audit cycles on stroke service provision and care delivery from 1999 to 2019.

METHODS

Cross-sectional study using data from organisational surveys (1999, 2004, 2007-2019) and clinical data from the biennial National Stroke Acute Audit (2007-2019). Age-, sex-, and stroke severity-adjusted proportions were reported for adherence to guideline-recommended care processes. Multivariable, logistic regression models were performed to determine the association between repeated audit cycles and service provision (organisational) and care delivery (clinical).

RESULTS

Overall, 197 hospitals provided organisational survey data (1999-2019), with 24,996 clinical cases from 136 hospitals (around 40 cases per audit) (2007-2019). We found significant improvements in service organisation between 1999 and 2019 for access to stroke units (1999: 42%, 2019: 81%), thrombolysis services (1999: 6%, 2019: 85%), and rapid assessment/management for patients with transient ischaemic attack (1999: 11%, 2019: 61%). Analyses of patient-level audits for 2007 to 2019 found the odds of receiving care processes per audit cycle to have significantly increased for thrombolysis (2007: 3%, 2019: 11%; OR 1.15, 95% CI 1.13, 1.17), stroke unit access (2007: 52%, 2019: 69%; OR 1.15, 95% CI 1.14, 1.17), risk factor advice (2007: 40%, 2019: 63%; OR 1.10, 95% CI 1.09, 1.12), and carer training (2007: 24%, 2019: 51%; OR 1.12, 95% CI 1.10, 1.15).

CONCLUSIONS

Between 1999 and 2019, the quality of acute stroke care in Australia has improved in line with best practice evidence. Standardised monitoring of stroke care can inform targeted efforts to reduce identified gaps in best practice, and illustrate the evolution of the health system for stroke.

Stroke clinical coding education program in Australia and New Zealand

BACKGROUND

Accurate coded diagnostic data are important for epidemiological research of stroke.

OBJECTIVE

To develop, implement and evaluate an online education program for improving clinical coding of stroke.

METHOD

The Australia and New Zealand Stroke Coding Working Group co-developed an education program comprising eight modules: rationale for coding of stroke; understanding stroke; management of stroke; national coding standards; coding trees; good clinical documentation; coding practices; and scenarios. Clinical coders and health information managers participated in the 90-minute education program. Pre- and post-education surveys were administered to assess knowledge of stroke and coding, and to obtain feedback. Descriptive analyses were used for quantitative data, inductive thematic analysis for open-text responses, with all results triangulated.

RESULTS

Of 615 participants, 404 (66%) completed both pre- and post-education assessments. Respondents had improved knowledge for 9/12 questions (p < 0.05), including knowledge of applicable coding standards, coding of intracerebral haemorrhage and the actions to take when coding stroke (all p < 0.001). Majority of respondents agreed that information was pitched at an appropriate level; education materials were well organised; presenters had adequate knowledge; and that they would recommend the session to colleagues. In qualitative evaluations, the education program was beneficial for newly trained clinical coders, or as a knowledge refresher, and respondents valued clinical information from a stroke neurologist.

CONCLUSION

Our education program was associated with increased knowledge for clinical coding of stroke. To continue to address the quality of coded stroke data through improved stroke documentation, the next stage will be to adapt the educational program for clinicians.

The utility of a type 2 diabetes polygenic score in addition to clinical variables for prediction of type 2 diabetes incidence in birth, youth and adult cohorts in an Indigenous study population

AIMS/HYPOTHESIS

There is limited information on how polygenic scores (PSs), based on variants from genome-wide association studies (GWASs) of type 2 diabetes, add to clinical variables in predicting type 2 diabetes incidence, particularly in non-European-ancestry populations.

METHODS

For participants in a longitudinal study in an Indigenous population from the Southwestern USA with high type 2 diabetes prevalence, we analysed ten constructions of PS using publicly available GWAS summary statistics. Type 2 diabetes incidence was examined in three cohorts of individuals without diabetes at baseline. The adult cohort, 2333 participants followed from age ≥20 years, had 640 type 2 diabetes cases. The youth cohort included 2229 participants followed from age 5-19 years (228 cases). The birth cohort included 2894 participants followed from birth (438 cases). We assessed contributions of PSs and clinical variables in predicting type 2 diabetes incidence.

RESULTS

Of the ten PS constructions, a PS using 293 genome-wide significant variants from a large type 2 diabetes GWAS meta-analysis in European-ancestry populations performed best. In the adult cohort, the AUC of the receiver operating characteristic curve for clinical variables for prediction of incident type 2 diabetes was 0.728; with the PS, 0.735. The PS's HR was 1.27 per SD (p=1.6 × 10^-8; 95% CI 1.17, 1.38). In youth, corresponding AUCs were 0.805 and 0.812, with HR 1.49 (p=4.3 × 10^-8; 95% CI 1.29, 1.72). In the birth cohort, AUCs were 0.614 and 0.685, with HR 1.48 (p=2.8 × 10^-16; 95% CI 1.35, 1.63). To further assess the potential impact of including PS for assessing individual risk, net reclassification improvement (NRI) was calculated: NRI for the PS was 0.270, 0.268 and 0.362 for adult, youth and birth cohorts, respectively. For comparison, NRI for HbA_1c was 0.267 and 0.173 for adult and youth cohorts, respectively. In decision curve analyses across all cohorts, the net benefit of including the PS in addition to clinical variables was most pronounced at moderately stringent threshold probability values for instituting a preventive intervention.

CONCLUSIONS/INTERPRETATION

This study demonstrates that a European-derived PS contributes significantly to prediction of type 2 diabetes incidence in addition to information provided by clinical variables in this Indigenous study population. Discriminatory power of the PS was similar to that of other commonly measured clinical variables (e.g. HbA_1c). Including type 2 diabetes PS in addition to clinical variables may be clinically beneficial for identifying individuals at higher risk for the disease, especially at younger ages.

Receipt of Mental Health Treatment in People Living With Stroke: Associated Factors and Long-Term Outcomes

BACKGROUND

Untreated poststroke mood problems may influence long-term outcomes. We aimed to investigate factors associated with receiving mental health treatment following stroke and impacts on long-term outcomes.

METHODS

Observational cohort study derived from the Australian Stroke Clinical Registry (AuSCR; Queensland and Victorian registrants: 2012-2016) linked with hospital, primary care billing and pharmaceutical dispensing claims data. Data from registrants who completed the AuSCR 3 to 6 month follow-up survey containing a question on anxiety/depression were analyzed. We assessed exposures at 6 to 18 months and outcomes at 18 to 30 months. Factors associated with receiving treatment were determined using staged multivariable multilevel logistic regression models. Cox proportional hazards regression models were used to assess the impact of treatment on outcomes.

RESULTS

Among 7214 eligible individuals, 39% reported anxiety/depression at 3 to 6 months following stroke. Of these, 54% received treatment (88% antidepressant medication). Notable factors associated with any mental health treatment receipt included prestroke psychological support (odds ratio [OR], 1.80 [95% CI, 1.37-2.38]) or medication (OR, 17.58 [95% CI, 15.05-20.55]), self-reported anxiety/depression (OR, 2.55 [95% CI, 2.24-2.90]), younger age (OR, 0.98 [95% CI, 0.97-0.98]), and being female (OR, 1.30 [95% CI, 1.13-1.48]). Those who required interpreter services (OR, 0.49 [95% CI, 0.25-0.95]) used a health benefits card (OR, 0.73 [95% CI, 0.59-0.92]) or had continuity of primary care visits (ie, with a consistent physician; OR, 0.78 [95% CI, 0.62-0.99]) were less likely to access mental health services. Among those who reported anxiety/depression, those who received mental health treatment had an increased risk of presenting to hospital (hazard ratio, 1.06 [95% CI, 1.01-1.11]) but no difference in survival (hazard ratio, 1.04 [95% CI, 0.58-1.27]).

CONCLUSIONS

Nearly half of the people living with mood problems following stroke did not receive mental health treatment. We have highlighted subgroups who may benefit from targeted mood screening and factors that may improve treatment access.

Antihypertensive Medication Adherence and the Risk of Vascular Events and Falls After Stroke: A Real-World Effectiveness Study Using Linked Registry Data

BACKGROUND

Real-world evidence is limited on whether antihypertensive medications help avert major adverse cardiovascular events (MACE) after stroke without increasing the risk of falls. We investigated the association of adherence to antihypertensive medications on the incidence of MACE and falls requiring hospitalization after stroke.

METHODS

A retrospective cohort study of adults who were newly dispensed antihypertensive medications after an acute stroke (Australian Stroke Clinical Registry 2012-2016; Queensland and Victoria). Pharmaceutical dispensing records were used to determine medication adherence according to the proportion of days covered in the first 6 months poststroke. Outcomes between 6 and 18 months postdischarge included: (i) MACE, a composite outcome of all-cause death, recurrent stroke or acute coronary syndrome; and (ii) falls requiring hospitalization. Estimates were derived using Cox models, adjusted for >30 confounders using inverse probability treatment weights.

RESULTS

Among 4076 eligible participants (median age 68 years; 37% women), 55% had a proportion of days covered ≥80% within 6 months postdischarge. In the subsequent 12 months, 360 (9%) participants experienced a MACE and 337 (8%) experienced a fall requiring hospitalization. After achieving balance between groups, participants with a proportion of days covered ≥80% had a reduced risk of MACE (hazard ratio: 0.68; 95% CI: 0.54-0.84) and falls requiring hospitalization (subdistribution hazard ratio: 0.78; 95% CI: 0.62-0.98) than those with a proportion of days covered <80%.

CONCLUSIONS

High adherence to antihypertensive medications within 6 months poststroke was associated with reduced risks of both MACE and falls requiring hospitalization. Patients should be encouraged to adhere to their antihypertensive medications to maximize poststroke outcomes.

Comparison of comorbidities of stroke collected in administrative data, surveys, clinical trials and cohort studies

BACKGROUND

Administrative data are used extensively for research purposes, but there remains limited information on the quality of these data for identifying comorbidities related to stroke.

OBJECTIVE

To compare the prevalence of comorbidities of stroke identified using International Classification Diseases, Australian Modification (ICD-10-AM) or Anatomical Therapeutic Chemical codes, with those from (i) self-reported data and (ii) published studies.

METHOD

The cohort included patients with stroke or transient ischaemic attack admitted to hospitals (2012-2016; Victoria and Queensland) in the Australian Stroke Clinical Registry (N = 26,111). Data were linked with hospital and pharmaceutical datasets to ascertain comorbidities using published algorithms. The sensitivity, specificity, and positive predictive value of these comorbidities were compared with survey responses from 623 patients (reference standard). An indirect comparison was also performed with clinical data from published stroke studies.

RESULTS

The sensitivity of hospital ICD-10-AM data was poor for most comorbidities, except for diabetes (93.0%). Specificity was excellent for all comorbidities (87-96%), except for hypertension (70.5%). Compared to published stroke studies (3 clinical trials and 1 incidence study), the prevalence of diabetes and atrial fibrillation in our cohort was similar using ICD-10-AM codes, but lower for dyslipidaemia and anxiety/depression. Whereas in the pharmaceutical dispensing data, the sensitivity was excellent for dyslipidaemia (94%) and modest for anxiety/depression (77%). In the pharmaceutical data, specificity was modest for hypertension (78%) and anxiety or depression (76%), but specificity was poor for dyslipidaemia (19%) and heart disease (46%).

CONCLUSION

Variation was observed in the reporting of comorbidities of stroke in administrative data, and consideration of multiple sources of data may be necessary for research. Further work is needed to improve coding and clinical documentation for reporting of comorbidities in administrative data.

Global stroke statistics 2022

BACKGROUND

Contemporary data on stroke epidemiology and the availability of national stroke clinical registries are important for providing evidence to improve practice and support policy decisions.

AIMS

To update the most current incidence, case-fatality, and mortality rates on stroke and identify national stroke clinical registries worldwide.

METHODS

We searched multiple databases (based on our existing search strategy) to identify new original papers, published between 1 November 2018 and 15 December 2021, that met ideal criteria for data on stroke incidence and case-fatality, and added these to the studies reported in our last review. To identify national stroke clinical registries, we updated our last search, using PubMed, from 6 February 2015 until 6 January 2022. We also screened reference lists of review papers, citation history of papers, and the gray literature. Mortality codes for International Classification of Diseases (ICD)-9 and ICD-10 were extracted from the World Health Organization (WHO) for each country providing these data. Population denominators were obtained from the United Nations (UN) or WHO (when data were unavailable in the UN database). Crude and adjusted stroke mortality rates were calculated using country-specific population denominators, and the most recent years of mortality data available for each country.

RESULTS

Since our last report in 2020, there were two countries (Chile and France) with new incidence studies meeting criteria for ideal population-based studies. New data on case-fatality were found for Chile and Kenya. The most current mortality data were available for the year 2014 (1 country), 2015 (2 countries), 2016 (11 countries), 2017 (10 countries), 2018 (19 countries), 2019 (36 countries), and 2020 (29 countries). Four countries (Libya, Solomon Islands, United Arab Emirates, and Lebanon) reported mortality data for the first time. Since our last report on registries in 2017, we identified seven more national stroke clinical registries, predominantly in high-income countries. These newly identified registries yielded limited information.

CONCLUSIONS

Up-to-date data on stroke incidence, case-fatality, and mortality continue to provide evidence of disparities and the scale of burden in low- and middle-income countries. Although more national stroke clinical registries were identified, information from these newly identified registries was limited. Highlighting data scarcity or even where a country is ranked might help facilitate more research or greater policy attention in this field.

Does a History of Cancer Influence the Effectiveness of Statins on Outcomes After Stroke?

BACKGROUND

Evidence is growing on anticancer effects of statins. We investigated whether the effectiveness of treatment with statins after ischemic stroke on mortality is influenced by a history of cancer.

METHODS

Analyses of 90-day survivors of ischemic stroke (2012-2016; 45 hospitals) using linked registry and administrative data. Dispense of statins within 90 days postdischarge was determined from pharmaceutical records. Participants were followed from 91 days postdischarge until death or June 30, 2018. History of cancer was determined from hospital data. Propensity score-adjusted Cox proportional hazards regression model was used to determine the association between being dispensed statins and survival. The influence of history of cancer on this association was assessed based on the concepts of (1) statistical interaction and (2) biological interaction using 3 indices: relative excess risk due to interaction>0, attributable proportion due to interaction >0, or synergy index >1.

RESULTS

Among 9948 eligible participants (median age=72 years, 42% female), there were 1463 deaths. In adjusted analyses, there was no statistical interaction between being dispensed statins and history of cancer on mortality (P=0.156). However, being dispensed statins had a significant positive biological interaction with having a history of cancer on mortality: relative excess risk due to interaction, 2.80 (95% CI, 1.56-5.05), attributable proportion due to interaction, 0.45 (95% CI, 0.23-0.66), and synergy index, 2.14 (95% CI, 1.32-3.49).

CONCLUSIONS

Treatment with statins after ischemic stroke may confer additional survival benefits for people who also have had cancer.

Real-world effectiveness of lipid-lowering medications on outcomes after stroke: potential implications of the new-user design

INTRODUCTION

Observational studies are increasingly being used to provide evidence on the real-world effectiveness of medications for preventing vascular diseases, such as stroke. We investigated whether the real-world effectiveness of treatment with lipid-lowering medications after ischemic stroke is affected by prevalent user bias.

METHODS

An observational cohort study of 90-day survivors of ischemic stroke, using person-level data from the Australian Stroke Clinical Registry (2012-2016; 45 hospitals) linked to administrative (pharmaceutical, hospital, death) records. Use of, and adherence to (proportion of days covered <80% [poor adherence] vs. ≥80% [good adherence]), lipid-lowering medications within 90 days post-discharge was determined from pharmaceutical records. Users were further classified as prevalent (continuing) or new-users, based dispensing within 90 days prior to stroke. Propensity score-adjusted Cox regression was used to evaluate the effectiveness of lipid-lowering medications on outcomes (all-cause mortality, all-cause and cardiovascular disease readmission) within the subsequent year. Analyses were undertaken using prevalent-user (all users vs. non-users) and new-user designs (new-users vs. non-users).

RESULTS

Of 11,217 eligible patients (median age 72 years, 42% female), 9,294 (83%) used lipid-lowering medications within 90 days post-discharge, including 5,479 new-users. In both prevalent-user and new-user designs, non-users (vs. users) had significantly greater rates of mortality (hazard ratio [HR] 2.35, 95% CI 1.89-2.92) or all-cause readmissions (HR 1.22, CI 1.05-1.40), but not cardiovascular disease readmission. In contrast, associations between having poor (vs. good) adherence on outcomes were stronger among new-users than all-users. Among new-users, having poor adherence was associated with greater rates of mortality (HR 1.48, CI 1.12-1.96), all-cause readmission (HR 1.14, CI 1.02-1.27), and cardiovascular disease readmission (HR 1.20, CI 1.01-1.42).

CONCLUSIONS

The real-world effectiveness of treatment with lipid-lowering medications after stroke is attenuated when evaluated based on prevalent-user rather than new-user design. These findings may have implications for designing studies on the real-world effectiveness of secondary prevention medications.

Day and night blood pressure variability among older persons in South-Western Nigeria

BACKGROUND

Hypertension is the largest contributor to the global burden of disease. Emerging risk factors for cardiovascular disease include blood pressure variability (BPV), but evidence on BPV is lacking among older Nigerians. We reported BPV in a cohort of older persons at the University College Hospital (UCH), Ibadan.

METHODS

We conducted a retrospective cohort study of respondents aged >50 years within the Ibadan Ambulatory Blood Pressure Registry at the UCH, Ibadan, Nigeria. Socio-demographic characteristics, lifestyle habits and anthropometric measurements were obtained.

RESULTS

Among 639 respondents, 332 (52.0%) were female. The blood pressure (BP) variables were strongly associated with age. Compared with younger age groups, mean diastolic BP (DBP) was less at an older age, whereas mean pulse pressure was greater. During the wake-up and sleep periods, mean DBP and mean arterial BP were less with each increasing age category, whereas mean pulse pressure was larger with each increasing age category. BP dipping, systolic, diastolic and mean arterial BP decreased with age. Overall, timed BPV increased significantly with increasing age. The prevalence of white-coat hypertension was greater among older participants than younger participants. Most respondents in the 50-59 years' age group were non-dippers (55.8%), whereas 33.7% of older respondents were reverse-dippers.

CONCLUSION

Older persons experienced a greater abnormal circadian blood variation and greater BPV than younger people. In Nigeria, follow-up data are needed to determine the prognostic significance of these data in this population.

Cardiorespiratory Fitness, BMI, Mortality, and Cardiovascular Disease in Adults with Overweight/Obesity and Type 2 Diabetes

INTRODUCTION

We estimated the effects of cardiorespiratory fitness (CRF) and body mass index (BMI) at baseline on mortality and cardiovascular disease events in people with type 2 diabetes who participated in the Look AHEAD randomized clinical trial.

METHODS

Look AHEAD compared effects of an intensive lifestyle intervention with diabetes support and education on cardiovascular disease events in 5145 adults age 45-76 yr with overweight/obesity and type 2 diabetes. In 4773 participants, we performed a secondary analysis of the association of baseline CRF during maximal treadmill test (expressed as metabolic equivalents (METs)) on mortality and cardiovascular disease events during a mean follow-up of 9.2 yr.

RESULTS

The mean (SD) CRF was 7.2 (2.0) METs. Adjusted for age, sex, race/ethnicity, BMI, intervention group, and β-blocker use, all-cause mortality rate was 30% lower per SD greater METs (hazard ratio (HR) = 0.70 (95% confidence interval, 0.60 to 0.81); rate difference (RD), -2.71 deaths/1000 person-years (95% confidence interval, -3.79 to -1.63)). Similarly, an SD greater METs predicted lower cardiovascular disease mortality (HR, 0.45; RD, -1.65 cases/1000 person-years) and a composite cardiovascular outcome (HR, 0.72; RD, -6.38). Effects of METs were homogeneous on the HR scale for most baseline variables and outcomes but heterogeneous for many on the RD scale, with greater RD in subgroups at greater risk of the outcomes. For example, all-cause mortality was lower by 7.6 deaths/1000 person-years per SD greater METs in those with a history of cardiovascular disease at baseline but lower by only 1.6 in those without such history. BMI adjusted for CRF had little or no effect on these outcomes.

CONCLUSIONS

Greater CRF is associated with reduced risks of mortality and cardiovascular disease events.

Treatment with Multiple Therapeutic Classes of Medication is Associated with Survival after Stroke

INTRODUCTION

Treatment with several therapeutic classes of medication is recommended for secondary prevention of stroke. We analysed the associations between the number of classes of prevention medications supplied within 90 days post-discharge for ischemic stroke (IS)/transient ischemic attack (TIA) and survival.

PATIENTS AND METHODS

Retrospective cohort study of adults with first-ever IS/TIA (2010-2014) from the Australian Stroke Clinical Registry individually linked with data from national pharmaceutical and Medicare claims. Exposure was the number of classes of recommended medications, i.e. blood pressure-lowering, antithrombotic or lipid-lowering agents, supplied to patients within 90 days post-discharge for IS/TIA. The longitudinal association between the number of classes of medications and survival was evaluated with Cox proportional hazards regression models using the landmark approach. A landmark date of 90 days post-hospital discharge was used to separate exposure and outcome periods and only patients who survived until this date were included.

RESULTS

Of 8,429 patients (43% female, median age 74 years, 80% IS), 607 (7%) died in the year following 90 days post-discharge. Overall, 56% of patients were supplied all three classes of medications, 28% two classes of medications, 11% one class of medications, and 5% no class of medications. Compared to patients supplied all three medication classes, adjusted hazard ratios for all-cause mortality ranged from 1.43 (95% confidence interval [CI]: 1.18-1.72) in those supplied two medication classes to 2.04 (CI: 1.44-2.88) in those supplied with no medication class.

CONCLUSION

Treatment with all three classes of guideline-recommended medications within 90 days post-discharge was associated with better survival. Ongoing efforts are required to ensure optimal pharmacological intervention for secondary prevention of stroke.

Longer duration on a Chronic Disease Management plan is associated with long-term adherence to antihypertensive and antithrombotic medications following stroke

Introduction and PurposeChronic Disease Management (CDM) plans are used by general practitioners to manage chronic diseases such as stroke. However, there is limited evidence that being on these plans improve adherence to secondary prevention medications after stroke. We aimed to assess the association of the duration on a CDM plan in improving adherence to secondary prevention medications following stroke. MethodsAustralian survivors of stroke or transient ischaemic attack were participants from the STAND FIRM trial. Patients were individually linked with claims for CDM plans from Medicare and dispensings of secondary prevention medications from the Pharmaceutical Benefits Scheme. We estimated (1) duration on a CDM plan based on the timing and Medicare items claimed and (2) the proportion of days that patients would have been covered by these medications (PDC), while accounting for deaths and instances of over-supply. Dosage for each quantity of medication was determined by the regularity in which patients returned for a refill. Logistic regression was used to evaluate factors associated with ≥80% adherence, up to 3 years after stroke, for each of antihypertensive, antithrombotic and lipid-modifying drugs. ResultsThe median PDC for 563 patients (median age 70yrs; 36% female) ranged from 92% to 95% among the three classes of medications. Approximately 27% did not take up a CDM plan, 33% were on plans for <1.5 years and 40% for 1.5-3 years. Duration on a CDM plan (quintiles) was associated with adherence for antihypertensive (Odds Ratio (OR) 1.18, 95% confidence interval (95%CI) 1.00-1.40, p=0.029) and antithrombotic medications (OR 1.22, 95%CI 1.03-1.46, p=0.024), but not for lipid-lowering medications. ConclusionPeople on a CDM plan for longer had better adherence to antihypertensive and antithrombotic medications in the long-term after stroke. Use and ongoing reviews of CDM plans should be encouraged to improve adherence to secondary prevention medications after stroke.

Weight tracking in childhood and adolescence and type 2 diabetes risk

AIMS/HYPOTHESIS

The aim of this work was to examine the associations of average weight and weight velocity in three growth periods from birth through adolescence with type 2 diabetes incidence.

METHODS

Child participants were selected from a 43 year longitudinal study of American Indians to represent three growth periods: pre-adolescence (birth to ~8 years); early adolescence (~8 to ~13 years); and late adolescence (~13 to ~18 years). Age-, sex- and height-standardised weight z score mean and weight z score velocity (change/year) were computed for each period. Participants were followed for up to 25 years from the end of each growth period until they developed diabetes. Associations of weight z score mean or weight z score velocity with diabetes incidence were determined with sex-, birth date- and maternal diabetes-adjusted Poisson regression models.

RESULTS

Among 2100 participants representing the pre-adolescence growth period, 1558 representing the early adolescence period and 1418 representing the late adolescence period, there were 290, 315 and 380 incident diabetes cases, respectively. During the first 10 years of follow-up, the diabetes incidence rate ratio (95% CI) was 1.72 (1.40, 2.11)/SD of log₁₀ weight z score mean in pre-adolescence, 2.09 (1.68, 2.60)/SD of log₁₀ weight z score mean in early adolescence and 1.85 (1.58, 2.17)/SD of log₁₀ weight z score mean in late adolescence. The diabetes incidence rate ratio (95% CI) was 1.79 (1.49, 2.17)/SD of log₁₀ weight z score velocity in pre-adolescence, 1.13 (0.91, 1.41)/SD of log₁₀ weight z score velocity in early adolescence and 1.29 (1.09, 1.51)/SD of log₁₀ weight z score velocity in late adolescence. There were strong correlations in the weight z score means and weak correlations in the weight z score velocities between successive periods.

CONCLUSIONS/INTERPRETATION

Higher weight and accelerated weight gain in all growth periods associate with increased type 2 diabetes risk. Importantly, higher weight and greater weight velocity during pre-adolescence jointly associate with the highest type 2 diabetes risk. Graphical abstract.

Provider Preference for Growth Charts in Tracking Children with Obesity

A web-based survey of pediatric care providers revealed differences in their preference for clinical charts that monitor growth in children with obesity. These findings are attributed to pediatric specialty training. Very few providers believe the currently available Centers for Disease Control and Prevention 2000 body mass index-for-age charts adequately track growth in children with obesity.

Birthweight and early-onset type 2 diabetes in American Indians: differential effects in adolescents and young adults and additive effects of genotype, BMI and maternal diabetes

AIMS/HYPOTHESIS

The aim of this work was to estimate the impact of birthweight on early-onset (age <40 years) type 2 diabetes.

METHODS

A longitudinal study of American Indians, aged ≥5 years, was conducted from 1965 to 2007. Participants who had a recorded birthweight were followed until they developed diabetes or their last examination before the age of 40 years, whichever came first. Age- and sex-adjusted diabetes incidence rates were computed and Poisson regression was used to model the effect of birthweight on diabetes incidence, adjusted for sex, BMI, a type 2 diabetes susceptibility genetic risk score (GRS) and maternal covariates.

RESULTS

Among 3039 participants, there were 652 incident diabetes cases over a median follow-up of 14.3 years. Diabetes incidence increased with age and was greater in the lowest and highest quintiles of birthweight. Adjusted for covariates, the effect of birthweight on diabetes varied over time, with a non-linear effect at 10-19 years (p < 0.001) and a negative linear effect at older age intervals (20-29 years, p < 0.001; 30-39 years, p = 0.003). Higher GRS, greater BMI and maternal diabetes had additive but not interactive effects on the association between birthweight and diabetes incidence.

CONCLUSIONS/INTERPRETATION

In this high-risk population, both low and high birthweights were associated with increased type 2 diabetes risk in adolescence (age 10-19 years) but only low birthweight was associated with increased risk in young adulthood (20-39 years). Higher type 2 diabetes GRS, greater BMI and maternal diabetes added to the risk of early-onset diabetes.

Use of graded Semmes Weinstein monofilament testing for ascertaining peripheral neuropathy in people with and without diabetes

AIMS

To assess peripheral neuropathy (PN) using graded Semmes Weinstein monofilaments (SWMs) and determine factors associated with PN among adult volunteers with and without diabetes.

METHODS

Adult volunteers were assessed for distal sensory PN using three graded SWMs. Four PN levels were defined: 0 (no PN; felt all three filaments), 1 (subclinical PN; insensate to 1-g filament), 2 (insensate to 10-g), or 3 (insensate to 75-g). Levels 2-3 were considered clinical PN. Associations with PN were determined using ordinal logistic regression.

RESULTS

In 1564 subjects (median age 41.9 years, 50.1% women), PN was subclinical or worse in 68.9% and clinical in 11.2%. Age-sex-race-adjusted prevalence of clinical PN was greater in people with diabetes (15.3%) than without (6.1%; P < 0.001). Associated factors included older age, male sex, greater BMI, greater heart rate, lower mean arterial pressure, and family history of diabetes or cardiovascular diseases. Higher PN levels associated with worse albuminuria and retinopathy. Only older age and male sex associated with PN both in people with and without diabetes.

CONCLUSIONS

PN is common in our sample, notably in those without diabetes, although diabetes greatly increases its risk. Using graded SWMs may have a prognostic value as it permits the identification of subclinical PN.

Abstract TP396: Accuracy of Administrative Hospital, Emergency Department and Death Records

Background: Hospital, emergency presentation and death databases are frequently used to research outcomes after stroke. The reliability of diagnostic coding for cardiovascular disease (CVD) in these administrative data remains uncertain. We aimed to determine the reliability of these data in Australia using an existing clinical trial cohort.

Methods: Patients with stroke/TIA who participated in the Shared Team Approach between Nurses and Doctors For Improved Risk factor Management (STAND FIRM) trial (n = 563, recruited from 4 hospitals within Victoria). We used diagnostic ICD-10-AM coded data from hospital, emergency department and death databases within 2 years after stroke/TIA. Medical records for these potential CVD-related events were reviewed by two independent stroke specialists and adjudicated according to strict criteria. We then estimated sensitivity and specificity of using either primary or both primary and secondary diagnoses fields (obtained for all adjudicated records), against the events adjudicated by the specialists (gold standard). False positives were CVD-events defined by ICD-10-AM diagnostic codes that were adjudicated as not being a CVD-event. False negatives were true CVD-events that were misclassified as not being CVD-related when using ICD-10-AM codes.

Results: We identified 261 events for medical review. After adjudication, 65 were classified as CVD-events (cases) and 196 were not CVD-events. Using both primary and secondary diagnoses, 55 true positives were correctly identified among the cases (sensitivity = 84.6%) and 129 true negatives among the non-cases (specificity = 65.8%). Using only primary diagnoses, 48 true positives were identified (sensitivity = 73.9%) and 171 true negatives (specificity = 87.2%). Using both primary and secondary diagnoses had an increased sensitivity, but decreased specificity (area under the Receiver Operating Characteristic curve (AUC) = 0.75; 95% CI, 0.70, 0.81) when compared with using only primary diagnoses (AUC = 0.81; 95% CI, 0.75, 0.86; p = 0.028).

Conclusion: Both primary and secondary diagnoses should be used to identify true CVD-events and minimise misclassifying these in administrative databases.

Abstract WP186: The Quality of Secondary Prevention after Stroke or Transient Ischemic Attack is Worse in Survivors With Disability

Introduction: Severity of stroke impacts functional outcomes after stroke, but the role of this disability on secondary prevention is unclear. We investigated the effect of disability status on secondary prevention outcomes, such as the management of risk factors, knowledge regarding secondary prevention, and long-term unmet needs.

Methods: Post-hoc analysis of a clinical trial of community-dwelling adults with stroke/TIA in Melbourne, Australia. Demographic/clinical data were obtained from hospital records, while standardised assessments were conducted for disability, cardiovascular risk, and mood. Disability was defined using the modified Rankin Scale (mRS): no disability (mRS=0), no significant disability (mRS=1), or slight to severe disability (mRS 2-5). Two-year outcomes included the standardized cardiovascular Framingham risk score, unmet needs, and knowledge of risk factors and medications prescribed for secondary prevention. Multivariable regression models were used to determine the effect of disability status on outcomes.

Results: From January 2010 to November 2013, 563 survivors of stroke/TIA were recruited: median age 70.1 years, 65% males, 79% ischemic stroke, and 29% with no disability. After a 2-year follow-up, 86% provided outcome data. In the multivariable regression analyses, when compared to participants with no significant disability, those with slight/severe disability had greater cardiovascular risk scores (odds ratio 1.33, 95% CI 1.00-1.76). A dose-response effect was found for disability status and long-term unmet needs, with more unmet needs reported among those with no significant disability (incidence risk ratio 1.55, 95% CI 1.21-1.99) or with slight/severe disability (incidence risk ratio 1.64, 95% CI 1.24-2.16), than in those with no disability. We found no effect of disability status on knowledge of risk factors or medications.

Conclusions: After a 24-month follow-up, survivors of stroke/TIA with disability had worse risk profiles and more unmet needs than those with no disability, and may benefit from targeted care post-discharge.

Long-term unmet needs and associated factors in stroke or TIA survivors

Objective:

To extensively investigate long-term unmet needs in survivors of stroke or TIA and to identify factors associated with these unmet needs.

Methods:

Community-dwelling adults were invited to participate in a survey ≥2 years after discharge for stroke/TIA. Unmet needs were assessed across 5 domains: activities and participation, environmental factors, body functions, post–acute care, and secondary prevention. Factors associated with unmet needs were determined with multivariable negative binomial regression.

Results:

Of 485 participants invited to complete the survey, 391 (81%) responded (median age 73 years, 67% male). Most responders (87%) reported unmet needs in ≥1 of the measured domains, particularly in secondary prevention (71%). Factors associated with fewer unmet needs included older age (incident rate ratio [IRR] 0.62, 95% confidence interval [CI] 0.50–0.77), greater functional ability (IRR 0.33, 95% CI 0.17–0.67), and reporting that the general practitioner was the most important in care (IRR 0.69, 95% CI 0.57–0.84). Being depressed (IRR 1.61, 95% CI 1.23–2.10) and receiving community services after stroke (IRR 1.45, 95% CI 1.16–1.82) were associated with more unmet needs.

Conclusions:

Survivors of stroke/TIA reported considerable unmet needs ≥2 years after discharge, particularly in secondary prevention. The factors associated with unmet needs could help guide policy decisions, particularly for tailoring care and support services provided after discharge.

Effectiveness of an Intervention to Improve Risk Factor Knowledge in Patients With Stroke: A Randomized Controlled Trial

BACKGROUND AND PURPOSE

Despite the benefit of risk awareness in secondary prevention, survivors of stroke are often unaware of their risk factors. We determined whether a nurse-led intervention improved knowledge of risk factors in people with stroke or transient ischemic attack.

METHODS

Prospective study nested within a randomized controlled trial of risk factor management in survivors of stroke or transient ischemic attack.

INTERVENTION

3 nurse education visits and specialist review of care plans.

OUTCOME

unprompted knowledge of risk factors of stroke or transient ischemic attack at 24 months. Effect of intervention on knowledge and factors associated with knowledge were determined using multivariable regression models.

RESULTS

Knowledge was assessed in 268 consecutive participants from the main trial, 128 in usual care and 140 in the intervention. Overall, 34% of participants were unable to name any risk factor. In adjusted analyses, the intervention group had better overall knowledge than controls (incidence risk ratio, 1.26; 95% confidence interval, 1.00-1.58). Greater functional ability and polypharmacy were associated with better knowledge and older age and having more comorbidities associated with poorer knowledge.

CONCLUSIONS

Overall knowledge of risk factors of stroke or transient ischemic attack was better in the intervention group than controls. However, knowledge was generally poor. New and more effective strategies are required, especially in subgroups identified as having poor knowledge.

CLINICAL TRIAL REGISTRATION

URL: http://www.anzctr.org.au. Unique identifier: ACTRN12608000166370.

Nurse-Led Intervention to Improve Knowledge of Medications in Survivors of Stroke or Transient Ischemic Attack: A Cluster Randomized Controlled Trial

INTRODUCTION

Limited evidence exists on effective interventions to improve knowledge of preventive medications in patients with chronic diseases, such as stroke. We investigated the effectiveness of a nurse-led intervention, where a component was to improve knowledge of prevention medications, in patients with stroke or transient ischemic attack (TIA).

METHODS

Prospective sub-study of the Shared Team Approach between Nurses and Doctors for Improved Risk Factor Management, a randomized controlled trial of risk factor management. We recruited patients aged ≥18 years and hospitalized for stroke/TIA. The intervention comprised an individualized management program, involving nurse-led education, and management plan with medical specialist oversight. The outcome, participants' knowledge of secondary prevention medications at 12 months, was assessed using questionnaires. A score of ≥5 was considered as good knowledge. Effectiveness of the intervention on knowledge of medications was determined using logistic regression.

RESULTS

Between May 2014 and January 2015, 142 consecutive participants from the main trial were included in this sub-study, 64 to usual care and 78 to the intervention (median age 68.9 years, 68% males, and 79% ischemic stroke). In multivariable analyses, we found no significant difference between intervention groups in knowledge of medications. Factors independently associated with good knowledge (score ≥5) at 12 months included higher socioeconomic position (OR 4.79, 95% CI 1.76, 13.07), greater functional ability (OR 1.69, 95% CI 1.17, 2.45), being married/living with a partner (OR 3.12, 95% CI 1.10, 8.87), and using instructions on pill bottle/package as an administration aid (OR 4.82, 95% CI 1.76, 13.22). Being aged ≥65 years was associated with poorer knowledge of medications (OR 0.24, 95% CI 0.08, 0.71), while knowledge was worse among those taking three medications (OR 0.15, 95% CI 0.03, 0.66) or ≥4 medications (OR 0.09, 95% CI 0.02, 0.44), when compared to participants taking fewer (≤2) prevention medications.

CONCLUSION

There was no evidence that the nurse-led intervention was effective for improving knowledge of secondary prevention medications in patients with stroke/TIA at 12 months. However, older patients and those taking more medications should be particularly targeted for more intensive education.

TRIAL REGISTRATION

Australian New Zealand Clinical Trials Registry (ACTRN12688000166370).