Cardiac rehabilitation and secondary prevention of CVD: time to think about cardiovascular health rather than rehabilitation.

During the past century, there have been major developments in the medical and surgical treatment of cardiovascular disease (CVD). These advancements have resulted in more people surviving initial events and having reduced length of stay in hospital; consequently, there is an increasing number of people in need of ongoing and lifelong cardiovascular risk management. The physical and emotional effects of living with CVD are ongoing with broad challenges ranging from the individual to system level. However, post-discharge care of people with coronary disease continues to follow a 50-year-old cardiac rehabilitation model which focuses on the sub-acute phase and is of a finite in duration. The aim of this paper is to consider the concept of supporting survivors to live well with CVD rather than 'rehabilitating' them and propose factors for consideration in reframing secondary prevention towards optimizing cardiovascular health. We discuss deeply-held potential considerations and challenges associated with the concept of supporting survivors achieve optimal cardiovascular health and live well with CVD rather than 'rehabilitating' them. We propose the concept of 5 x P's for reframing traditional cardiac rehabilitation towards the concept of cardiovascular health for survivors beyond 'rehabilitation'. These include the need for personalization, processes, patient-centered care, parlance, and partnership. Taken together, consideration of challenges at the systems and population level will ultimately improve engagement with secondary prevention as well as outcomes for all people who need it.

Individual and joint effects of diabetes and depression on incident cardiovascular diseases and all-cause mortality: Results from a population-based cohort study.

AIMS: To assess the individual and joint effects of diabetes and depression on all-cause mortality and cardiovascular disease (CVD) in the middle-aged and elderly Chinese populations. METHODS: 9105 individuals without CVD from the China Health and Retirement Longitudinal Study (CHARLS) were included and followed up for 9 years. Participants were divided into four comparative groups: diabetes alone, depression alone, both conditions, and neither condition. Multivariate binary logistic regression models were performed to compare the risks of all-cause mortality and CVD among the four groups. RESULTS: When compared to those without diabetes and depression, the multivariate adjusted odds ratios (aORs) for CVD in individuals who had diabetes only, depression only, and both diabetes and depression were 1.245 (95 % CI 1.023 to 1.515), 1.318 (95 % CI 1.171 to 1.485) and 1.722 (95 % CI 1.361 to 2.178), respectively. The aORs for all-cause mortality were 1.366 (95 % CI 1.035-1.804) for diabetes alone, 1.082 (95 % CI 0.916-1.279) for depression alone, and 1.590 (95 % CI 1.152-2.195) for both conditions when compared with those with neither condition. CONCLUSIONS: Individuals with both diabetes and depression had greater risk of CVD and all-cause mortality when compared to those with diabetes or depression alone, or those without either condition.

Data-driven collaborative QUality improvement in Cardiac Rehabilitation (QUICR) to increase program completion: protocol for a cluster randomized controlled trial.

BACKGROUND: Coronary heart disease (CHD) is the leading cause of deaths and disability worldwide. Cardiac rehabilitation (CR) effectively reduces the risk of future cardiac events and is strongly recommended in international clinical guidelines. However, CR program quality is highly variable with divergent data systems, which, when combined, potentially contribute to persistently low completion rates. The QUality Improvement in Cardiac Rehabilitation (QUICR) trial aims to determine whether a data-driven collaborative quality improvement intervention delivered at the program level over 12 months: (1) increases CR program completion in eligible patients with CHD (primary outcome), (2) reduces hospital admissions, emergency department presentations and deaths, and costs, (3) improves the proportion of patients receiving guideline-indicated CR according to national and international benchmarks, and (4) is feasible and sustainable for CR staff to implement routinely. METHODS: QUICR is a multi-centre, type-2, hybrid effectiveness-implementation cluster-randomized controlled trial (cRCT) with 12-month follow-up. Eligible CR programs (n = 40) and the individual patient data within them (n ~ 2,000) recruited from two Australian states (New South Wales and Victoria) are randomized 1:1 to the intervention (collaborative quality improvement intervention that uses data to identify and manage gaps in care) or control (usual care with data collection only). This sample size is required to achieve 80% power to detect a difference in completion rate of 22%. Outcomes will be assessed using intention-to-treat principles. Mixed-effects linear and logistic regression models accounting for clusters within allocated groupings will be applied to analyse primary and secondary outcomes. DISCUSSION: Addressing poor participation in CR by patients with CHD has been a longstanding challenge that needs innovative strategies to change the status-quo. This trial will harness the collaborative power of CR programs working simultaneously on common problem areas and using local data to drive performance. The use of data linkage for collection of outcomes offers an efficient way to evaluate this intervention and support the improvement of health service delivery. ETHICS: Primary ethical approval was obtained from the Northern Sydney Local Health District Human Research Ethics Committee (2023/ETH01093), along with site-specific governance approvals. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry (ANZCTR) ACTRN12623001239651 (30/11/2023) ( https://anzctr.org.au/Trial/Registration/TrialReview.aspx?id=386540&isReview=true ).

The effects of multidisciplinary collaborative care on cardiovascular risk factors among patients with diabetes in primary care settings: A systematic review and meta-analysis.

BACKGROUND: Multidisciplinary collaborative care has been widely recommended as an effective strategy for managing diabetes; however, the cardiovascular risk factors of patients with diabetes are often inadequately managed in primary care settings. This study aimed to assess the effect of multidisciplinary collaboration on cardiovascular risk factors among patients with diabetes in primary care settings. METHODS: Five databases (i.e., Medline, Embase, CINAHL, SCOPUS and CENTRAL) were systematically searched to retrieve randomised controlled trials. Studies were eligible for inclusion if the interventions included a multidisciplinary team with professionals from at least three health disciplines and focused on patients with diabetes in primary care settings. A random-effects model was used to calculate the pooled effects. RESULTS: In total, 19 studies comprising 6538 patients were included in the meta-analysis. The results showed that compared with usual care, multidisciplinary collaborative care significantly reduced cardiovascular risk factors, including mean systolic blood pressure (-3.27 mm Hg, 95 % confidence interval [CI]: -4.72 to -1.82, p < 0.01), diastolic blood pressure (-1.4 mm Hg, 95 % CI: -2.32 to -0.47, p < 0.01), glycated haemoglobin (-0.42 %, 95 % CI: -0.59 to -0.25, p < 0.01), low-density lipoprotein (-0.16 mmol/L, 95 % CI: -0.26 to -0.06, p < 0.01) and high-density lipoprotein (0.06 mmol/L, 95 % CI: 0.00-0.12, p < 0.05). The subgroup analysis showed multidisciplinary collaboration was more effective in reducing cardiovascular risk factors when it comprised team members from a number of different disciplines, combined pharmacological and non-pharmacological components, included both face-to-face and remote interactions and was implemented in high-income countries. CONCLUSION: Multidisciplinary collaborative care is associated with reduced cardiovascular risk factors among patients with diabetes in primary care. Further studies need to be conducted to determine the optimal team composition.

Process evaluation of a data-driven quality improvement program within a cluster randomised controlled trial to improve coronary heart disease management in Australian primary care.

BACKGROUND: This study evaluates primary care practices' engagement with various features of a quality improvement (QI) intervention for patients with coronary heart disease (CHD) in four Australian states. METHODS: Twenty-seven practices participated in the QI intervention from November 2019 -November 2020. A combination of surveys, semi-structured interviews and other materials within the QUality improvement in primary care to prevent hospitalisations and improve Effectiveness and efficiency of care for people Living with heart disease (QUEL) study were used in the process evaluation. Data were summarised using descriptive statistical and thematic analyses for 26 practices. RESULTS: Sixty-four practice team members and Primary Health Networks staff provided feedback, and nine of the 63 participants participated in the interviews. Seventy-eight percent (40/54) were either general practitioners or practice managers. Although 69% of the practices self-reported improvement in their management of heart disease, engagement with the intervention varied. Forty-two percent (11/26) of the practices attended five or more learning workshops, 69% (18/26) used Plan-Do-Study-Act cycles, and the median (Interquartile intervals) visits per practice to the online SharePoint site were 170 (146-252) visits. Qualitative data identified learning workshops and monthly feedback reports as the key features of the intervention. CONCLUSION: Practice engagement in a multi-featured data-driven QI intervention was common, with learning workshops and monthly feedback reports identified as the most useful features. A better understanding of these features will help influence future implementation of similar interventions. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry (ANZCTR) number ACTRN12619001790134.

Mobile phone text messaging for medication adherence in secondary prevention of cardiovascular disease.

BACKGROUND: Cardiovascular diseases (CVDs) are the leading cause of death globally, accounting for almost 18 million deaths annually. People with CVDs have a five times greater chance of suffering a recurrent cardiovascular event than people without known CVDs. Although drug interventions have been shown to be cost-effective in reducing the risk of recurrent cardiovascular events, adherence to medication remains suboptimal. As a scalable and cost-effective approach, mobile phone text messaging presents an opportunity to convey health information, deliver electronic reminders, and encourage behaviour change. However, it is uncertain whether text messaging can improve medication adherence and clinical outcomes. This is an update of a Cochrane review published in 2017. OBJECTIVES: To evaluate the benefits and harms of mobile phone text messaging for improving medication adherence in people with CVDs compared to usual care. SEARCH METHODS: We searched CENTRAL, MEDLINE, Embase, four other databases, and two trial registers. We also checked the reference lists of all primary included studies and relevant systematic reviews and meta-analyses. The date of the latest search was 30 August 2023. SELECTION CRITERIA: We included randomised controlled trials (RCTs) with participants with established arterial occlusive events. We included trials investigating interventions using short message service (SMS) or multimedia messaging service (MMS) with the aim of improving adherence to medication for the secondary prevention of cardiovascular events. The comparator was usual care. We excluded cluster-RCTs and quasi-RCTs. DATA COLLECTION AND ANALYSIS: We used standard Cochrane methods. Our primary outcomes were medication adherence, fatal cardiovascular events, non-fatal cardiovascular events, and combined CVD event. Secondary outcomes were low-density lipoprotein cholesterol for the effect of statins, blood pressure for antihypertensive drugs, heart rate for the effect of beta-blockers, urinary 11-dehydrothromboxane B2 for the antiplatelet effects of aspirin, adverse effects, and patient-reported experience. We used GRADE to assess the certainty of the evidence for each outcome. MAIN RESULTS: We included 18 RCTs involving a total of 8136 participants with CVDs. We identified 11 new studies in the review update and seven studies in the previous version of the review. Participants had various CVDs including acute coronary syndrome, coronary heart disease, stroke, myocardial infarction, and angina. All studies were conducted in middle- and high-income countries, with no studies conducted in low-income countries. The mean age of participants was 53 to 64 years. Participants were recruited from hospitals or cardiac rehabilitation facilities. Follow-up ranged from one to 12 months. There was variation in the characteristics of text messages amongst studies (e.g. delivery method, frequency, theoretical grounding, content used, personalisation, and directionality). The content of text messages varied across studies, but generally included medication reminders and healthy lifestyle information such as diet, physical activity, and weight loss. Text messages offered advice, motivation, social support, and health education to promote behaviour changes and regular medication-taking. We assessed risk of bias for all studies as high, as all studies had at least one domain at unclear or high risk of bias. Medication adherence Due to different evaluation score systems and inconsistent definitions applied for the measurement of medication adherence, we did not conduct meta-analysis for medication adherence. Ten out of 18 studies showed a beneficial effect of mobile phone text messaging for medication adherence compared to usual care, whereas the other eight studies showed either a reduction or no difference in medication adherence with text messaging compared to usual care. Overall, the evidence is very uncertain about the effects of mobile phone text messaging for medication adherence when compared to usual care. Fatal cardiovascular events Text messaging may have little to no effect on fatal cardiovascular events compared to usual care (odds ratio 0.83, 95% confidence interval (CI) 0.47 to 1.45; 4 studies, 1654 participants; low-certainty evidence). Non-fatal cardiovascular events We found very low-certainty evidence that text messaging may have little to no effect on non-fatal cardiovascular events. Two studies reported non-fatal cardiovascular events, neither of which found evidence of a difference between groups. Combined CVD events We found very low-certainty evidence that text messaging may have little to no effect on combined CVD events. Only one study reported combined CVD events, and did not find evidence of a difference between groups. Low-density lipoprotein cholesterol Text messaging may have little to no effect on low-density lipoprotein cholesterol compared to usual care (mean difference (MD) -1.79 mg/dL, 95% CI -4.71 to 1.12; 8 studies, 4983 participants; very low-certainty evidence). Blood pressure Text messaging may have little to no effect on systolic blood pressure (MD -0.93 mmHg, 95% CI -3.55 to 1.69; 8 studies, 5173 participants; very low-certainty evidence) and diastolic blood pressure (MD -1.00 mmHg, 95% CI -2.49 to 0.50; 5 studies, 3137 participants; very low-certainty evidence) when compared to usual care. Heart rate Text messaging may have little to no effect on heart rate compared to usual care (MD -0.46 beats per minute, 95% CI -1.74 to 0.82; 4 studies, 2946 participants; very low-certainty evidence). AUTHORS' CONCLUSIONS: Due to limited evidence, we are uncertain if text messaging reduces medication adherence, fatal and non-fatal cardiovascular events, and combined cardiovascular events in people with cardiovascular diseases when compared to usual care. Furthermore, text messaging may result in little or no effect on low-density lipoprotein cholesterol, blood pressure, and heart rate compared to usual care. The included studies were of low methodological quality, and no studies assessed the effects of text messaging in low-income countries or beyond the 12-month follow-up. Long-term and high-quality randomised trials are needed, particularly in low-income countries.

Mortality outcomes in 35,433 patients admitted for acute haemorrhagic stroke in Australia: A population-linkage study.

Background: Haemorrhagic stroke (HS) is an important cardiovascular cause of mortality worldwide. Trends in admission rates and outcomes, and predictors of outcomes, post-HS in Australia remain unclear. Methods: All New South Wales residents, Australia, hospitalized with HS from 2002 to 2017 were identified from the Admitted-Patient-Data-Collection database. Admission rates were adjusted to population size by sex, age-groups and calendar-year. Mortality was tracked from the death registry to 31-Dec-2018 and adjusted for admission calendar-year, age, gender, referral source, surgical evacuation following HS and comorbidities. Results: The cohort comprised 35,433 patients (51.1% males). Overall age-adjusted mean(±SD) admission rates were higher for males (63.6 ± 6.2 vs 49.9 ± 4.4 admissions-per-100,000-persons-per-annum). Annual admission rates declined for both sexes from 2002 to 2017 especially in those ≥60yo. In-hospital and 1-year mortality rates were higher for females than males (25.0% vs 20.0% and 40.6% vs 35.9% respectively, all p < 0.001). Adjusted in-hospital and 1-year mortality declined for men and women, overall decreasing by 45% (odds ratio 0.55, 95% confidence interval [CI] = 0.47-0.64), and 31% (hazard ratio 0.69,95%CI = 0.63-0.76) respectively between 2002 and 2017. Independent predictors of increased in-hospital and 1-year mortality included increasing age and Charlson comorbidity index, while male sex, a history of hyperlipidaemia and current smoking, and surgical evacuation following HS were associated with reduced mortality (all p < 0.001). Conclusion: HS incidence increases markedly with age. Although age-adjusted HS admission rates and post HS mortality have fallen, HS remains associated with high early and 1-year mortality, with females consistently associated with worse outcomes. Strategies to improve outcomes of these patients remain a clinical priority.

Utilisation of Chronic Disease and Mental Health Management Services and Cardioprotective Medication Prescriptions in Primary Care for Patients With Cardiovascular Diseases and Cancer: A Cross-Sectional Study.

BACKGROUND: Cardiovascular disease (CVD) is a leading cause of morbidity and mortality among cancer survivors. Mental health is considered an important risk factor affecting the treatment of cardiovascular disease. However, little is known about the use of secondary prevention strategies for CVD in patients with both cancer and CVD. This study aimed to compare the utilisation of primary care chronic disease management plans, mental health care and guideline-indicated cardioprotective medications among CVD patients with and without cancer. METHODS: Retrospective cross-sectional study utilising clinical data of patients with CVD from 50 Australian primary care practices. Outcomes included the use of chronic disease management plans, mental health care, guideline-indicated cardioprotective medications and influenza vaccination. Logistic regression, accounting for demographic and clinical covariates and clustering effects by practices, was used to compare the two groups. RESULTS: Of the 15,040 patients with CVD, 1,486 patients (9.9%) concurrently had cancer. Patients with cancer, compared to those without, were older (77.6 vs 71.8 years, p<0.001), more likely to drink alcohol (62.6% vs 55.7%, p<0.001), have lower systolic (130.3±17.8 vs 132.5±21.1 mmHg, p<0.001) and diastolic (72.2±11 vs 75.3±34 mmHg, p<0.001) blood pressure. Although suboptimal for both groups, patients with cancer were significantly more likely to have general practice management plans (GPMPs) (51.4% vs 43.2%, p<0.001), coordination of team care arrangements (TCAs) (46.2% vs 37.0%, p<0.001), have a review of either GPMP or TCA (42.8% vs 34.7%, p<0.001), have a mental health treatment consultation (15.4% vs 10.5%, p=0.004) and be prescribed blood pressure-lowering medications (70.1% vs 66.0%, p=0.002). However, there were no statistical differences in the prescription of lipid-lowering or antiplatelet medications. After adjustments for covariates and multiple testing, patients with cancer did not show a difference in GPMPs, TCAs, and a review of either, but were more likely to receive mental health treatment consultations than those without cancer (odds ratio 1.76; 95% confidence interval 1.42-2.19). CONCLUSIONS: Less than half of patients with CVD had a GPMP, TCA or review of either. Although those patients with cancer were more likely to receive these interventions, still around half the patients did not. Medicare-funded GPMPs, TCAs and a review of either GPMP or TCA were underutilised, and future studies should seek to identify ways of improving access to these services.

Sex- and Age-Specific Differences in Risk Profiles and Early Outcomes in Adults With Acute Coronary Syndromes.

BACKGROUND: Adults <55 years of age comprise a quarter of all acute coronary syndromes (ACS) hospitalisations. There is a paucity of data characterising this group, particularly sex differences. This study aimed to compare the clinical and risk profile of patients with ACS aged <55 years with older counterparts, and measure short-term outcomes by age and sex. METHOD: The study population comprised patients with ACS enrolled in the AUS-Global Registry of Acute Coronary Events (GRACE), Cooperative National Registry of Acute Coronary Syndrome Care (CONCORDANCE) and SNAPSHOT ACS registries. We compared clinical features and combinations of major modifiable risk factors (hypertension, smoking, dyslipidaemia, and diabetes) by sex and age group (20-54, 55-74, 75-94 years). All-cause mortality and major adverse events were identified in-hospital and at 6-months. RESULTS: There were 16,658 patients included (22.3% aged 20-54 years). Among them, 20-54 year olds had the highest proportion of ST-elevation myocardial infarction compared with sex-matched older age groups. Half of 20-54 year olds were current smokers, compared with a quarter of 55-74 year olds, and had the highest prevalence of no major modifiable risk factors (14.2% women, 12.7% men) and of single risk factors (27.6% women, 29.0% men), driven by smoking. Conversely, this age group had the highest proportion of all four modifiable risk factors (6.6% women, 4.7% men). Mortality at 6 months in 20-54 year olds was similar between men (2.3%) and women (1.7%), although lower than in older age groups. CONCLUSIONS: Younger adults with ACS are more likely to have either no risk factor, a single risk factor, or all four modifiable risk factors, than older patients. Targeted risk factor prevention and management is warranted in this age group.

Healthcare exposures and associated risk of endocarditis after open-heart cardiac valve surgery.

BACKGROUND: Infective endocarditis (IE) following cardiac valve surgery is associated with high morbidity and mortality. Data on the impact of iatrogenic healthcare exposures on this risk are sparse. This study aimed to investigate risk factors including healthcare exposures for post open-heart cardiac valve surgery endocarditis (PVE). METHODS: In this population-linkage cohort study, 23,720 patients who had their first cardiac valve surgery between 2001 and 2017 were identified from an Australian state-wide hospital-admission database and followed-up to 31 December 2018. Risk factors for PVE were identified from multivariable Cox regression analysis and verified using a case-crossover design sensitivity analysis. RESULTS: In 23,720 study participants (median age 73, 63% male), the cumulative incidence of PVE 15 years after cardiac valve surgery was 7.8% (95% CI 7.3-8.3%). Thirty-seven percent of PVE was healthcare-associated, which included red cell transfusions (16% of healthcare exposures) and coronary angiograms (7%). The risk of PVE was elevated for 90 days after red cell transfusion (HR = 3.4, 95% CI 2.1-5.4), coronary angiogram (HR = 4.0, 95% CI 2.3-7.0), and healthcare exposures in general (HR = 4.0, 95% CI 3.3-4.8) (all p < 0.001). Sensitivity analysis confirmed red cell transfusion (odds ratio [OR] = 3.9, 95% CI 1.8-8.1) and coronary angiogram (OR = 2.6, 95% CI 1.5-4.6) (both p < 0.001) were associated with PVE. Six-month mortality after PVE was 24% and was higher for healthcare-associated PVE than for non-healthcare-associated PVE (HR = 1.3, 95% CI 1.1-1.5, p = 0.002). CONCLUSIONS: The risk of PVE is significantly higher for 90 days after healthcare exposures and associated with high mortality.

The evaluation of the Plan-Do-Study-Act cycles for a healthcare quality improvement intervention in primary care.

BACKGROUND: The Plan-Do-Study-Act (PDSA) cycle is an iterative framework that has been gaining traction in primary care for quality improvement. However, its implementation remains understudied. This study evaluated the completion, achievement of goal, content quality, and enablers and barriers associated with completion of high-quality PDSA cycles in cardiovascular disease management in general practices. METHODS: This study analysed data from intervention practices of the QUality improvement in primary care to prevent hospitalisations and improve Effectiveness and efficiency of care for people Living people with coronary heart disease (QUEL) study. Content quality of cycles was assessed using a scoring system created based on established criteria of ideal PDSA cycles in the healthcare context. Practice-level factors associated with completion and cycles achieving the planned goal were explored through logistic regression models, and with content quality score through linear regression model. Enablers and barriers were assessed using thematic analysis of practices' responses to the PDSA sections. RESULTS: Ninety-seven cycles were reported by 18/26 (69%) practices. Seventy-seven percent of the cycles were completed and 68% achieved the planned goal. Content quality was low, with a median score of 56% (interquartile interval: 44%, 67%). Odds of cycles that were completed and achieved what was planned increased by 3.6- and 9.6-fold, respectively, with more general practitioners (GPs) within practices. Content quality was higher by 15% with more GPs. Lack of interprofessional engagement was a barrier to implementation. CONCLUSIONS: Cycles were well completed, but poor in content quality, with high variability between practices. Human or capital resources and organisational support may be critical for the completion and cycles achieving the planned goals.

Outcomes Following Implantable Cardioverter-Defibrillator Insertion in Patients 80 Years of Age or Older: A Statewide Population Cohort Study.

BACKGROUND: Patients ≥ 80 years of age are underrepresented in major implantable cardioverter-defibrillator (ICD) trials, and real-world data are lacking. In this study, we sought to assess ICD utilisation, outcomes, and their predictors, in an unselected statewide population including patients ≥ 80 years old. METHODS: We extracted details of ICDs implanted from 2009 to 2018 in New South Wales (NSW), Australia from the Centre for Health Record Linkage administrative data sets. Analysis was stratified into age groups of < 60 years, 60-79 years, and ≥ 80 years. RESULTS: A total of 9304 patients (mean age 66.1 ± 13.1 years; 12.1% ≥ 80 years) had de novo ICD placement at an average rate of 1163 ± 122 patients per annum, with more implants in men in all age groups. After adjusting for NSW population size by sex, age group, and calendar year, mean implantation rates were 5.5 ± 0.6, 63.2 ± 8.6, and 52.7 ± 10.8 per 100,000 persons per annum in patients aged < 60 years, 60-79 years, and ≥ 80 years, respectively. In-hospital mortality was 0.4% and did not differ among age groups. However, 1-year mortality was 2.1%, 5.9%, and 10.7%, in those < 60 years, 60-79 years, and ≥ 80 years of age, respectively (P < 0.001), with hazard ratios for those aged ≥ 80 years of 4.3 (95% confidence interval [CI] 3.1-6.0) and those aged 60-79 years of 2.6 (95% CI 1.9-3.5) relative to those aged < 60 years (both P < 0.001) after adjusting for ICD indications, sex, implantation year, referral source, and comorbidities. In those aged ≥ 80 years, age > 83 years, congestive cardiac failure, chronic renal failure, neurodegenerative disease, and a higher Charlson comorbidity index score were each independent predictors of 1-year mortality. CONCLUSIONS: ICD use in patients aged ≥ 80 years and 60-79 years was 10-fold that in patients aged < 60 years, and perioperative outcomes were good in all ages, but there was substantially increased 1-year mortality in those aged ≥ 80 years. Careful selection based on age and comorbidity may further reduce 1-year mortality in patients ≥ 80 years old receiving ICDs.

Integrated Text Messaging (ITM) for people attending cardiac and pulmonary rehabilitation: A multicentre randomised controlled trial.

BACKGROUND: People living with cardiac and respiratory disease require improved post-hospital support that is readily available and efficient. OBJECTIVES: To 1) test the effectiveness of an automated, semi-personalised text message support program on clinical and lifestyle outcomes amongst people attending cardiac and pulmonary rehabilitation. Also, 2) to evaluate the program's acceptability and utility using patient-reported outcome and experience measures. METHODS: Multicentre randomised controlled trial (3:1, intervention:control) amongst cardiac and pulmonary rehabilitation attendees. Control received usual care (no message program). Intervention also received a 6-month text message lifestyle and support program. Primary outcome was 6-minute walk distance (6MWD). Secondary outcomes included clinical measures, lifestyle, patient-reported outcome and experience measures, medication adherence and rehabilitation attendance. RESULTS: A total of 316 participants were recruited. They had a mean age of 66.7 (SD 10.1) years. Sixty percent were male (190/316) and 156 were cardiac rehabilitation participants. The cohort's mean baseline 6MWD was higher in the intervention than the control group. At 6 months, 6MWD improved in both groups; it was significantly greater amongst intervention than control participants (unadjusted mean difference of 43.4 m, 95 % CI 4.3 to 82.4; P = 0.0296). After adjustment for baseline values, there was no significant difference between intervention and control groups for 6MWD (adjusted mean difference 2.2 m, -21.2 to 25.6; P = 0·85), medication adherence, or cardiovascular risk factors. At 6-month follow-up, intervention participants reported significantly lower depression scores (adjusted mean difference -1.3, 95 % CI -2.2 to -0.3; P = 0.0124) and CAT scores (adjusted mean difference -3.9, 95 % CI -6.6 to -1.3; P = 0.0038), and significantly lower anxiety (adjusted mean difference -1.1, 95 %CI -2.1 to 0; P = 0.0456). Most participants (86 %) read most of their messages and strongly/agreed that the intervention was easy to understand (99 %) and useful (86 %). CONCLUSIONS: An educational and supportive text message program for cardiac and pulmonary rehabilitation attendees improved anxiety and depression plus program attendance. The program was acceptable to, and useful for, participants and would be suitable for implementation alongside rehabilitation programs. TRIAL REGISTRATION NUMBER: ACTRN12616001167459.

Trends in Isolated Mitral Valve Repair or Replacement Surgery in Australia: A Statewide Cohort Linkage Study.

BACKGROUND: Global trends in mitral valve surgery (MVSx) suggest increasing repair compared with replacement, especially in the United States and European countries. The relative use, and outcomes of, MV repair and replacement in Australia are unknown. METHODS: New South Wales residents who underwent isolated MVSx between 2001 and 2017 were identified from the Admitted-Patient-Data-Collection database. Mortality outcomes were tracked to 31 Dec 2018 and adjusted based on age, sex, urgency of operation, and comorbidity status. RESULTS: The study cohort comprised 5,693 patients: 2020 (35%) underwent repair (MVr), 1,656 (29%) underwent mechanical replacement (mech.MVR), and 2017 (35%) underwent bioprosthetic replacement (bio.MVR). Respective median ages [interquartile range] were 67 yo [59-75 yo], 64 yo [55-71 yo], and 75 yo [68-80 yo] (p<0.001 across groups). Between 2001 and 2017, total MVSx increased steadily with population growth. Whereas the relative use of MVr remained static (34% to 38%), that for bio.MVR (22% to 50%) and mech.MVR (45% to 13%) changed significantly. MVr had the best outcome with 1.2% in-hospital, 2.5% 1-year, and 21.6% total cumulative mortality during a median follow-up of 6.5 years. Compared to MVr, the adjusted hazard ratio (aHR) for mech.MVR and bio.MVR for long-term mortality were 1.41 (95% confidence interval [CI]=1.24-1.61) and 1.73 (95% CI=1.53-1.95), respectively. Heart failure and sepsis were the main cardiovascular and noncardiovascular causes of death in all groups. CONCLUSION: In this statewide Australian cohort examined over 17 years, MVr is potentially underutilised despite having superior outcomes to MVR. Access to quality dataset which provides the indication for MVSx and quantitative clinical factors is critical to further improve MVr coverage and outcome MVSx.

Using Mobile Ecological Momentary Assessment to Understand Consumption and Context Around Online Food Delivery Use: Pilot Feasibility and Acceptability Study.

BACKGROUND: Mobile ecological momentary assessment (EMA) is a powerful tool for collecting real-time and contextual data from individuals. As our reliance on online technologies to increase convenience accelerates, the way we access food is changing. Online food delivery (OFD) services may further encourage unhealthy food consumption habits, given the high availability of energy-dense, nutrient-poor foods. We used EMA to understand the real-time effects of OFD on individuals' food choices and consumption behaviors. OBJECTIVE: The primary aims of this pilot study were to assess the feasibility and acceptability of using EMA in young users of OFD and compare 2 different EMA sampling methods. The secondary aims were to gather data on OFD events and their context and examine any correlations between demographics, lifestyle chronic disease risk factors, and OFD use. METHODS: This study used EMA methods via a mobile app (mEMASense, ilumivu Inc). Existing users of OFD services aged 16 to 35 years in Australia who had access to a smartphone were recruited. Participants were randomly assigned to 1 of 2 groups: signal-contingent or event-contingent. The signal-contingent group was monitored over 3 days between 7 AM and 10 PM. They received 5 prompts each day to complete EMA surveys via the smartphone app. In contrast, the event-contingent group was monitored over 7 days and was asked to self-report any instance of OFD. RESULTS: A total of 102 participants were analyzed, with 53 participants in the signal-contingent group and 49 participants in the event-contingent group. Compliance rates, indicating the feasibility of signal-contingent and event-contingent protocols, were similar at 72.5% (574/792) and 73.2% (251/343), respectively. Feedback from the participants suggested that the EMA app was not easy to use, which affected their acceptability of the study. Participants in the event-contingent group were 3.53 (95% CI 1.52-8.17) times more likely to have had an OFD event captured during the study. Pizza (23/124, 18.5%) and fried chicken (18/124, 14.5%) comprised a bulk of the 124 OFD orders captured. Most orders were placed at home (98/124, 79%) for 1 person (68/124, 54.8%). Age (incidence rate ratio 0.95, 95% CI 0.91-0.99; P=.03) and dependents (incidence rate ratio 2.01, 95% CI 1.16-3.49; P=.01) were significantly associated with the number of OFD events in a week after adjusting for gender, socioeconomic status, diet quality score, and perceived stress levels. CONCLUSIONS: This pilot study showed that EMA using an event-contingent sampling approach may be a better method to capture OFD events and context than signal-contingent sampling. The compliance rates showed that both sampling methods were feasible and acceptable. Although the findings from this study have gathered some insight on the consumption and context of OFD in young people, further studies are required to develop targeted interventions.

A National Survey of Patient Data Capture, Management, Reporting Practice in Australian Cardiac Rehabilitation Programs.

BACKGROUND: Lack of service data for cardiac rehabilitation limits understanding of program delivery, benchmarking and quality improvement. This study aimed to describe current practices, management, utilisation and engagement with quality indicators in Australian programs. METHOD: Cardiac rehabilitation programs (n=396) were identified from national directories and networks. Program coordinators were surveyed on service data capture, management systems and adoption of published national quality indicators. Text responses were coded and classified. Logistic regression determined independent associates of the use of data for quality improvement. RESULTS: A total of 319 (81%) coordinators completed the survey. Annual patient enrolments/programs were >200 (31.0%), 51-200 (46%) and ≤50 (23%). Most (79%) programs used an electronic system, alongside paper (63%) and/or another electronic system (19%), with 21% completely paper. While 84% knew of the national quality indicators, only 52% used them. Supplementary to patient care, data were used for reports to managers (57%) and funders (41%), to improve quality (56%), support funding (43%) and research (31%). Using data for quality improvement was more likely when enrolments where >200 (Odds ratio [OR] 3.83, 95% Confidence Interval [CI] 1.76-8.34) and less likely in Victoria (OR 0.24 95%, CI 0.08-0.77), New South Wales (OR 0.25 95%, CI 0.08-0.76) and Western Australia (OR 0.16 95%, CI 0.05-0.57). CONCLUSIONS: The collection of service data for cardiac rehabilitation patient data and its justification is diverse, limiting our capacity to benchmark and drive clinical practice. The findings strengthen the case for a national low-burden approach to data capture for quality care.

Effect of an avatar-based discharge education application on knowledge and behaviour in people after acute coronary syndrome: protocol for a pragmatic prospective randomised controlled trial.

INTRODUCTION: Many hospital presentations for acute coronary syndrome (ACS) occur in people previously hospitalised with coronary heart disease (CHD), leading to increased costs and health burden. Secondary prevention education including a prehospital discharge plan is recommended for all individuals to reduce the risk of recurrence. However, many clinicians lack the time or support to provide education, and patients' uptake of secondary prevention programmes is limited. An avatar-based education app is a novel and engaging way to provide self-delivered, evidence-based secondary prevention information during the hospital admission and remains accessible after discharge. This protocol aims to evaluate the effect of an avatar-based education app on individuals with ACS. METHODS AND ANALYSIS: This protocol describes a prospective, randomised controlled trial with 3-month follow-up and blinded assessment of 72 participants. Intervention group participants will download the app onto their own device during the hospital admission and independently complete six interactive education modules based on the National Heart Foundation's six steps to cardiac recovery. All participants will receive a text message reminder of the study after 3 weeks. Both groups will receive usual care consisting of bedside education and a pamphlet about cardiac rehabilitation. The primary outcome is knowledge of CHD, assessed using the Coronary Artery Disease Education Questionnaire II. Secondary outcomes include quality of life, response to heart attack symptoms, cardiac-related readmissions and mortality and modifiable cardiac risk factors. Engagement with the app will be evaluated objectively. Intention-to-treat analysis will be conducted, with between-group comparisons and 95% CIs of the primary outcome analysed using analysis of covariance, adjusting for baseline values. ETHICS AND DISSEMINATION: This study protocol has been approved by the Western Sydney Local Health District Human Research Ethics Committee. The results of this study will be disseminated via a peer-reviewed journal and research thesis. TRIAL REGISTRATION NUMBER: Australian New Zealand Clinical Trials Registry (ACTRN12622001436763).