Patterns of 12-Month Post-Myocardial Infarction Medication Use According to Revascularisation Strategy: Analysis of 15,339 Admissions in Victoria, Australia.

AIM: Clinical guidelines recommend secondary prevention medications following myocardial infarction (MI) regardless of revascularisation strategy. Studies suggest that there is variation in post-MI medication use following percutaneous coronary intervention (PCI) and coronary artery bypass grafts (CABG). We investigated initial dispensing and 12-month patterns of medication use according to revascularisation strategy following non-ST-elevation MI (NSTEMI). METHOD: We included all public and private hospital admissions for NSTEMI for patients aged ≥30 years in Victoria, Australia, between July 2012 and June 2017. We investigated initial dispensing of P2Y12 inhibitors (P2Y12i), statins (total and high intensity), angiotensin-converting-enzyme inhibitors (ACEi)/angiotensin receptor blockers (ARB), and beta blockers within 60 days after discharge. Twelve-month post-MI medication use was estimated as the proportion of days covered (PDC) over a 12-month period from the date of hospital discharge. Analyses were performed using adjusted regression models, stratified by revascularisation strategy. RESULTS: There were 15,399 admissions for NSTEMI: 11,754 with PCI and 3,645 with CABG. Following adjustments, predicted probability of initial dispensing in the PCI and CABG groups, respectively, was 0.94 (95% confidence interval 0.93-0.95) vs 0.17 (0.13-0.21) for P2Y12i; 0.69 (0.66-0.71) vs 0.42 (0.37-0.48) for ACEi/ARB; 0.59 (0.57-0.62) vs 0.69 (0.64-0.74) for beta blockers; 0.89 (0.87-0.91) vs 0.89 (0.85-0.92) for statins; and 0.60 (0.57-0.62) vs 0.69 (0.63-0.73) for high intensity statins. The 12-month PDC in the PCI and CABG groups, respectively, was 0.82 (0.80-0.83) vs 0.12 (0.09-0.15) for P2Y12i; 0.62 (0.60-0.65) vs 0.43 (0.39-0.48) for ACEi/ARB; 0.53 (0.51-0.55) vs 0.632 (0.58-0.66) for beta blockers; 0.79 (0.78-0.81) vs 0.78 (0.74-0.81) for statins; and 0.49 (0.47-0.51) vs 0.55 (0.50-0.59) for high intensity statins. CONCLUSIONS: Post-discharge dispensing of secondary prevention medications differed with respect to revascularisation strategy from 2012 to 2017, despite clear evidence of benefit during this period. Interventions may be needed to address possible clinician and patient uncertainty about the benefits of secondary prevention medications, regardless of revascularisation strategy.

Excess Risk of Injury in Individuals With Type 1 or Type 2 Diabetes Compared With the General Population.

OBJECTIVE: To estimate the relative risk (RR) and excess hospitalization rate for injury in individuals with diabetes compared with the general population. RESEARCH DESIGN AND METHODS: Data were obtained from the Australian National Diabetes Services Scheme, hospitalization data sets, the Australian Pharmaceutical Benefits Scheme, the National Death Index, and the census spanning from 2011 to 2017. Hospitalizations for injury were coded as head and neck, lower-extremity, upper-extremity, or abdominal and thoracic injury; burns; or other injury. Poisson regression was used to estimate the age- and sex-adjusted RR of hospitalization for injury. RESULTS: The total number of hospitalizations for any injury was 117,705 in people with diabetes and 3,463,173 in the general population. Compared with that in the general population, an elevated adjusted risk of admission was observed for any injury (RR 1.22; 95% CI 1.21, 1.22), head and neck (1.28; 1.26, 1.30), lower extremity (1.24; 1.23, 1.26), abdominal and thoracic (1.29; 1.27, 1.30), upper extremity (1.03; 1.02, 1.05), burns (1.52; 1.44, 1.61), and other injury (1.37; 1.33, 1.40). The adjusted RR of any injury was 1.62 (1.58, 1.66) in individuals with type 1 diabetes, 1.65 (1.63, 1.66) in those with type 2 diabetes who were taking insulin, and 1.07 (1.06, 1.08) in individuals with type 2 diabetes not using insulin. Falls were the primary cause of injury in individuals with diabetes. CONCLUSIONS: Individuals with diabetes, especially those using insulin, had a higher risk of hospitalization for injury compared with the general population.

Acute kidney injury, renal impairment and renal failure associated with sodium glucose co-transporter-2 inhibitors in at-risk groups: A systematic review.

Randomized controlled trials (RCTs) show a reduction in acute kidney injury, renal impairment and acute renal failure after initiation of a sodium glucose cotransporter-2 inhibitor. Observational literature on the association is conflicting, but important to understand for populations with a higher risk of medication-related adverse renal events. We aimed to systematically review the literature to summarize the association between sodium glucose cotransporter-2 inhibitor use and acute kidney injury, renal impairment and acute renal failure in three at-risk groups: older people aged >65 years, people with heart failure and people with reduced renal function. A systematic search of Embase (1974 until 23 February 2024) and PubMed (1946 until 23 February 2024) was performed. RCTs were included if they reported numbers of acute kidney injury or acute renal failure in people using sodium glucose cotransporter-2 inhibitors compared to other diabetic therapies. Studies needed to report results by level of renal function, heart failure status or age. Of 922 results, eight studies were included. The absolute risk of acute kidney injury or acute renal failure was higher in people >65 years compared to those <65 years, higher in people with heart failure (vs without) and higher in people with reduced kidney function (vs preserved kidney function), but insufficient evidence to determine if the relative effect of sodium glucose cotransporter-2 inhibitors on this risk was similar for each group. At-risk cohorts are associated with a higher incidence of acute kidney problems in users of sodium glucose cotransporter-2 inhibitors.

Current and Future Cost Burden of Ischemic Stroke in Australia: Dynamic Model.

BACKGROUND: Stroke remains one of the leading causes of morbidity and mortality in Australia. The objective of this study was to estimate the current and future cost burden of ischemic stroke (IS) in Australia. METHOD: First, chronic management costs following IS were derived for all people aged ≥ 30 years discharged from a public or private hospital in Victoria, Australia between July 2012 and June 2017 (n = 34 471). These costs were then used to project total costs following IS (combination of acute event and chronic management cost) over a 20-year period (2019-2038) for people aged between 30 and 99 years in Australia using a dynamic multistate lifetable model. Data for the dynamic model were sourced from the Victorian Admitted Episodes Dataset (VAED) and supplemented with other published data. RESULT: The estimated annual total chronic management cost following IS was 13 525 Australian dollars (AUD) per person (95%CI: AUD 13 380, AUD 13 670) for cohorts in the VAED between July 2012 and June 2017. The annual chronic management cost was estimated to decline following IS. The highest cost was incurred in the first year of follow-up post-IS (AUD 14 309 per person) and declined to AUD 9 776 in the sixth year of follow-up post-IS. The total healthcare cost for people aged 30-99 years was projected to be AUD 47.7 billion (95% UI: AUD 44.6 billion, AUD 51.0 billion) over the 20-year period (2019-2038) Australia-wide, of which 91.3% (AUD 43.6 billion) was attributed to chronic management costs and the remaining 8.7% (AUD 4.2 billion) were due to acute IS events. CONCLUSION: IS has and will continue to have a considerable financial impact in the next two decades on the Australian healthcare system. Our estimated and projected cost burden following IS provides important information for decision making in relation to IS.

The association between sodium glucose cotransporter-2 inhibitors vs dipeptidyl peptidase-4 inhibitors and renal outcomes in people discharged from hospital with type 2 diabetes: A population-based cohort study.

BACKGROUND: We investigated the association between post-hospital discharge use of sodium glucose cotransporter-2 inhibitors (SGLT-2is) compared to dipeptidyl peptidase-4 inhibitors (DPP-4is) and the incidence of hospitalization for acute renal failure (ARF) and chronic kidney disease (CKD) in people with type 2 diabetes. METHODS: We conducted a retrospective cohort study using linked hospital and prescription data. Our cohort included people aged ≥30 years with type 2 diabetes discharged from a hospital in Victoria, Australia, from December 2013 to June 2018. We compared new users of SGLT-2is with new users of DPP-4is following discharge. People were followed from first dispensing of a SGLT-2i or DPP-4i to a subsequent hospital admission for ARF or CKD. We used competing risk models with inverse probability of treatment weighting (IPTW) to estimate subhazard ratios. RESULTS: In total, 9620 people initiated SGLT-2is and 9962 initiated DPP-4is. The incidence rate of ARF was 12.3 per 1000 person-years (median years of follow-up [interquartile range [IQR] 1.4 [0.7-2.2]) among SGLT-2i initiators and 18.9 per 1000 person-years (median years of follow-up [IQR] 1.7 [0.8-2.6]) among DPP-4i initiators (adjusted subhazard ratio with IPTW 0.78; 95% confidence interval [CI] 0.70-0.86). The incidence rate of CKD was 6.0 per 1000 person-years (median years of follow-up [IQR] 1.4 [0.7-2.2]) among SGLT-2i initiators and 8.9 per 1000 person-years (median years of follow-up [IQR] 1.7 [0.8-2.6]) among DPP-4i initiators (adjusted subhazard ratio with IPTW 0.83; 95% CI 0.73-0.94). CONCLUSIONS: Real-world data support using SGLT-2is over DPP-4is for preventing acute and chronic renal events in people with type 2 diabetes.

Future Burden of Ischemic Stroke in Australia: Impact on Health Outcomes between 2019 and 2038.

BACKGROUND: Projections of the future burden of ischemic stroke (IS) has not been extensively reported for the Australian population; the availability of such data would assist in health policy planning, clinical guideline updates, and public health. METHODS: First, we estimated the lifetime risk of IS (from age 40 to 100 years) using a multistate life table model. Second, a dynamic multistate model was constructed to project the burden of IS for the whole Australian population aged between 40 and 100 years over a 20-year period (2019-2038). Data for the study were primarily sourced from a large, representative Victorian linked dataset based on the Victorian Admitted Episode Dataset and National Death Index. The model projected prevalent and incident cases of nonfatal IS, fatal IS, and years of life lived (YLL) with and without IS. The YLL outcome was discounted by 5% annually; we varied the discounting rate in scenario analyses. RESULTS: The lifetime risk of IS from age 40 years was estimated as 15.5% for males and 14.0% for females in 2018. From 2019 to 2038, 644,208 Australians were projected to develop incident IS (564,922 nonfatal and 79,287 fatal). By 2038, the model projected there would be 358,534 people with prevalent IS, 35,554 people with incident nonfatal IS and 5,338 people with fatal IS, a 14.2% (44,535), 72.9% (14,988), and 106.3% (2,751) increase compared to 2019 estimations, respectively. Projected YLL (with a 5% discount rate) accrued by the Australian population were 174,782,672 (84,251,360 in males and 90,531,312 in females), with 4,053,794 YLL among people with IS (2,320,513 in males, 1,733,281 in females). CONCLUSION: The burden of IS was projected to increase between 2019 and 2038 in Australia. The outcomes of the model provide important information for decision-makers to design strategies to reduce stroke burden.

The effect of frailty on post-discharge management and outcomes of acute glycaemic crises: Analysis of admissions for hypoglycaemia and hyperglycaemia in Australia.

OBJECTIVE: To describe changes in glucose-lowering drug (GLD) dispensing by frailty status for people with diabetes following admission for hypoglycaemia or hyperglycaemia. METHODS: This study included all people with probable type 2 diabetes in the state of Victoria, Australia, admitted to hospital for hypoglycaemia (n = 2,506 admissions) or hyperglycaemia (n = 1,693) between 1 July 2013 and 29 June 2017. Frailty was defined via the Hospital Frailty Risk Score (HFRS). We examined differences in dispensing of GLDs in the year before and after admission using linear regression models adjusted for age, sex, comorbidities, and socioeconomic status. RESULTS: Dispensing of GLDs decreased following hypoglycaemia admission. Decreased dispensing was strongly associated with frailty status, with a change in mean annual GLD dispensing count of -4.11 (-5.05, -3.17) for an HFRS of 15 vs. -0.99 (-1.47, -0.50) for an HFRS of 0. Changes were greatest for metformin and sulfonylureas. Following hyperglycaemia admission, the mean number of annual GLD dispensings increased, with a smaller increase with increasing frailty: 2.44 (1.32, 3.56) for an HFRS of 0 vs. 1.16 (0.18, 2.14) for an HFRS of 15. CONCLUSIONS: Frailty was associated with more conservative diabetes medication management following hypoglycaemia and hyperglycaemia admissions.

The impact of frailty on initiation, continuation and discontinuation of secondary prevention medications following myocardial infarction.

AIM: To evaluate the association between frailty and initiating, continuing, or discontinuing secondary prevention medications following myocardial infarction (MI). METHODS: We conducted a cohort study using linked health data, including all adults aged ≥65 years who discharged from hospital following MI from January 2013 to April 2018 in Victoria, Australia (N = 29,771). The Hospital Frailty Risk Score (HFRS) was used to assess frailty. Logistic regression was used to investigate associations of frailty with initiation, continuation, and discontinuation of secondary prevention medications (P2Y12 inhibitor antiplatelets, beta-blockers, renin-angiotensin-aldosterone system (RAAS) inhibitors, and lipid-lowering therapies) in the 90 days from discharge post-MI, by HFRS, adjusted for age, sex, and Charlson Comorbidity Index. RESULTS: Increasing frailty was associated with lower probability of initiating and continuing P2Y12 inhibitors, RAAS inhibitors, and lipid-lowering therapies, but not beta-blockers. At at an HFRS of 0, the predicted probabiliy of having all four medications initiated or continued was 0.59 (95 %CI 0.57-0.62) for STEMI and 0.35 (0.34-0.36) for non-STEMI, compared to 0.38 (0.33-0.42) and 0.16 (0.14-0.18) at an HFRS of 15. Increasing frailty was associated with higher probability of discontinuing these medications post-MI. The predicted probability of discontinuing at least one secondary prevention medication post-MI at an HFRS of 0 was 0.10 (0.08-0.11) for STEMI and 0.14 (0.13-0.15) for non-STEMI, compared to 0.27 (0.22-0.32) and 0.34 (0.32-0.36) at an HFRS of 15. CONCLUSION: People with higher levels of frailty were managed more conservatively following MI than people with lower levels of frailty. Whether this conservative treatment is justified warrants further study.

SGLT-2 Inhibitor Use and Cause-Specific Hospitalization Rates: An Outcome-Wide Study to Identify Novel Associations of SGLT-2 Inhibitors.

Sodium-glucose co-transporter 2 inhibitors (SGLT2is) have demonstrated multifaceted pharmacological effects. In addition to type 2 diabetes, they are now indicated for heart failure and chronic kidney disease. This study aimed to identify novel associations between SGLT2i use and health outcomes using real-world data. Using linked data from a nationwide diabetes registry in Australia, we compared hospitalization rates in people living with type 2 diabetes commencing treatment with SGLT2i and dipeptidyl peptidase-4 inhibitor (DPP4i) between December 1, 2013, and June 30, 2019. Cause-specific hospitalizations were categorized across three hierarchies of diagnoses (first, first three, and first four digits of International Classification of Diseases, Tenth Version, Australian Modification codes). Incidence rate ratio (IRR) and 95% confidence interval (95% CI) for each cause-specific hospitalization were estimated using negative binomial regression. In the first hierarchy, hospitalization rates were lower across most diagnosis groups among SGLT2i initiators (n = 99,569) compared with DPP4i initiators (n = 186,353). In the second and third hierarchies, there were lower hospitalization rates relating to infections, anemias, and obstructive airway diseases among SGLT2i initiators compared with DPP4i initiators. These included sepsis (IRR: 0.60, 95% CI: 0.51-0.72) anemia (IRR: 0.55, 95% CI: 0.46-0.66), and chronic obstructive pulmonary diseases (IRR: 0.52, 95% CI: 0.40-0.68), as well as for previously known associations (e.g., heart failure (IRR: 0.63, 95% CI: 0.56-0.70)). SGLT2is have previously uncharacterized associations on a range of important clinical outcomes; validation of these associations requires further study, some of which may suggest novel benefits or new indications for SGLT2is.

Cost-Effectiveness of Screening Strategies for Familial Hypercholesterolaemia: An Updated Systematic Review.

BACKGROUND: OBJECTIVE: This study aimed to systematically synthesise the cost-effectiveness of screening strategies to detect heterozygous familial hypercholesterolemia (FH). METHODS: We searched seven databases from inception to 2 February , 2023, for eligible cost-effective analysis (CEA) that evaluated screening strategies for FH versus the standard care for FH detection. Independent reviewers performed the screening, data extraction and quality evaluation. Cost results were adapted to 2022 US dollars (US$) to facilitate comparisons between studies using the same screening strategies. Cost-effectiveness thresholds were based on the original study criteria. RESULTS: A total of 21 studies evaluating 62 strategies were included in this review, most of the studies (95%) adopted a healthcare perspective in the base case, and majority were set in high-income countries. Strategies analysed included cascade screening (23 strategies), opportunistic screening (13 strategies), systematic screening (11 strategies) and population-wide screening (15 strategies). Most of the strategies relied on genetic diagnosis for case ascertainment. The most common comparator was no screening, but some studies compared the proposed strategy versus current screening strategies or versus the best next alternative. Six studies evaluated screening in children while the remaining were targeted at adults. From a healthcare perspective, cascade screening was cost-effective in 78% of the studies [cost-adapted incremental cost-effectiveness ratios (ICERs) ranged from dominant to 2022 US$ 104,877], opportunistic screening in 85% (ICERs from US$4959 to US$41,705), systematic screening in 80% (ICERs from US$2763 to US$69,969) and population-wide screening in 60% (ICERs from US$1484 to US$223,240). The most common driver of ICER identified in the sensitivity analysis was the long-term cost of lipid-lowering treatment. CONCLUSIONS: Based on reported willingness to pay thresholds for each setting, most CEA studies concluded that screening for FH compared with no screening was cost-effective, regardless of the screening strategy. Cascade screening resulted in the largest health benefits per person tested.

Lipid-Lowering Strategies for Primary Prevention of Coronary Heart Disease in the UK: A Cost-Effectiveness Analysis.

AIM: We aimed to assess the cost effectiveness of four different lipid-lowering strategies for primary prevention of coronary heart disease initiated at ages 30, 40, 50, and 60 years from the UK National Health Service perspective. METHODS: We developed a microsimulation model comparing the initiation of a lipid-lowering strategy to current standard of care (control). We included 458,692 participants of the UK Biobank study. The four lipid-lowering strategies were: (1) low/moderate-intensity statins; (2) high-intensity statins; (3) low/moderate-intensity statins and ezetimibe; and (4) inclisiran. The main outcome was the incremental cost-effectiveness ratio for each lipid-lowering strategy compared to the control, with 3.5% annual discounting using 2021 GBP (£); incremental cost-effectiveness ratios were compared to the UK willingness-to-pay threshold of £20,000-£30,000 per quality-adjusted life-year. RESULTS: The most effective intervention, low/moderate-intensity statins and ezetimibe, was projected to lead to a gain in quality-adjusted life-years of 0.067 per person initiated at 30 and 0.026 at age 60 years. Initiating therapy at 40 years of age was the most cost effective for all lipid-lowering strategies, with incremental cost-effectiveness ratios of £2553 (95% uncertainty interval: 1270, 3969), £4511 (3138, 6401), £11,107 (8655, 14,508), and £1,406,296 (1,121,775, 1,796,281) per quality-adjusted life-year gained for strategies 1-4, respectively. Incremental cost-effectiveness ratios were lower for male individuals (vs female individuals) and for people with higher (vs lower) low-density lipoprotein-cholesterol. For example, low/moderate-intensity statin use initiated from age 40 years had an incremental cost-effectiveness ratio of £5891 (3822, 9348), £2174 (772, 4216), and was dominant (i.e. cost saving; -2,760, 350) in female individuals with a low-density lipoprotein-cholesterol of ≥ 3.0, ≥ 4.0 and ≥ 5.0 mmol/L, respectively. Inclisiran was not cost effective in any sub-group at its current price. CONCLUSIONS: Low-density lipoprotein-cholesterol lowering from early ages is a more cost-effective strategy than late intervention and cost effectiveness increased with the increasing lifetime risk of coronary heart disease.

Health economics of detection and treatment of children with familial hypercholesterolemia: to screen or not to screen is no longer the question.

PURPOSE OF REVIEW: Heterozygous familial hypercholesterolemia (HeFH) is one of the most common monogenic disorders and is safely treatable with lipid-lowering medication. However, most individuals with HeFH remain untreated and undetected, especially in paediatric populations where the potential for long-term therapeutic benefit is higher. Here, we review the recent literature on health economic outcomes for the detection and management of FH in children. RECENT FINDINGS: A targeted literature review identified eight studies evaluating detection and management strategies for paediatric FH populations in the last 25 years. Most studies conducted modelled cost-effectiveness analyses to understand the long-term impact of these strategies on health outcomes and the financial impact on the healthcare system. All studies reported that detection and management of HeFH in paediatric populations was cost-effective, regardless of the age of the children. However, cost-effectiveness varied depending on the method of case ascertainment - targeted screening was generally cheaper overall, but less effective, than whole-of-population screening, although both methods were generally cost-effective. SUMMARY: Detection and management of HeFH in paediatric populations is a cost-effective way to significantly lower the burden of disease later in life for these individuals. These strategies should be implemented across healthcare systems.

Use of secondary prevention medications in metropolitan and non-metropolitan areas: an analysis of 41 925 myocardial infarctions in Australia.

AIMS: People in remote areas may have more difficulty accessing healthcare following myocardial infarction (MI) than people in metropolitan areas. We determined whether remoteness was associated with initial and 12-month use of secondary prevention medications following MI in Victoria, Australia. METHODS AND RESULTS: We included all people alive at least 90 days after discharge following MI between July 2012 and June 2017 in Victoria, Australia (n = 41 925). We investigated dispensing of P2Y12 inhibitors (P2Y12i), statins, angiotensin-converting enzyme inhibitors or angiotensin receptor blockers (ACEIs/ARBs), and beta-blockers within 90 days after discharge. We estimated 12-month medication use using proportion of days covered (PDC). Remoteness was determined using the Accessibility/Remoteness Index of Australia (ARIA). Data were analysed using adjusted parametric regression models stratified by ST elevation myocardial infarction (STEMI) and non-STEMI (NSTEMI). There were 10 819 STEMI admissions and 31 106 NSTEMI admissions. Following adjustment across NSTEMI and STEMI, there were no medication classes dispensed in the 90-day post-discharge that differed in a clinically significant way from the least remote (ARIA = 0) to the most remote (ARIA = 4.8) areas. The largest difference for NSTEMI was ACEI/ARB, with 71% (95% confidence interval 70-72%) vs. 80% (76-83%). For STEMI, it was statins with 89% (88-90%) vs. 95% (91-97%). Predicted PDC for STEMI and NSTEMI was not clinically significant across remoteness, with the largest difference in NSTEMI being P2Y12i with 48% (47-50%) vs. 55% (51-59%), and in STEMI, it was ACEI/ARB with 68% (67-69%) vs. 76% (70-80%). CONCLUSION: Remoteness does not appear to be a clinically significant driver for medication use following MI. Possible differences in cardiovascular outcomes in metropolitan and non-metropolitan areas are not likely to be explained by access to secondary prevention medications.

We investigated how where a person lives may affect the use of medications required following a heart attack. Our research used dispensing information and hospital admission information for a population of 41 925 heart attack admissions. Our main findings were as follows: There were no clinically significant differences in initial dispensing or 12-month use of secondary prevention medications with respect to how remote a person may live in Victoria, Australia.Our research suggests that there is equal access to medications with respect to remoteness, and any differences in quality of life or life expectancy following a heart attack are unlikely to be driven by differences in access to medications.

No effect of remoteness on clinical outcomes following myocardial infarction: An analysis of 43,729 myocardial infarctions in Victoria, Australia.

BACKGROUND: Remoteness has been shown to predict poor clinical outcomes following myocardial infarction (MI). This study investigated 1-year clinical outcomes following MI by remoteness in Victoria, Australia. METHODS: We included all admissions for people discharged from hospital following MI between July 2012 and June 2017 (n = 43,729). Remoteness was determined using the Accessibility/Remoteness Index of Australia (ARIA). The relationship between remoteness and major adverse cardiovascular events (MACE) and all-cause mortality over 1-year was evaluated using adjusted Poisson regression, stratified by type STEMI and NSTEMI. RESULTS: For NSTEMI, adjusted rates of MACE were 77.5[95% confidence interval 65.1-92.1] for the most remote area versus 83.4[65.5-106.3] for the least remote area per 1000 person-years. For STEMI, rates of MACE were 28.5[18.3-44.6] for the most versus 33.5[18.9-59.4] for the least remote areas per 1000 person-years. With respect to all-cause mortality, NSTEMI mortality rates were 82.2[67.0-100.9] for the most versus 100.8[75.2-135.1] for the least remote areas per 1000 person-years. For STEMI, mortality rates were 24.7[13.7-44.7] for the most versus 22.3[9.8-50.8] for the least remote per 1000 person-years. CONCLUSIONS: Rates of MACE and all-cause mortality were similar in regardless of degree of remoteness, suggesting that initiatives to increase access to cardiology care in more remote areas succeeded in reducing previous disparities.

COX2 inhibitor use and type 2 diabetes treatment intensification: A registry-based cohort study.

AIM: This study examined the association between cyclooxygenase-2 inhibitor (COX2i) use and diabetes progression in people with type 2 diabetes. METHODS: We conducted a nation-wide cohort study using an Australian diabetes registry linked to medication dispensing data. We assessed time to diabetes treatment intensification among new users of COX2i compared to mild opioids. Inverse probability of treatment-weighted Cox regression models were used to adjust for age, sex, time since diabetes diagnosis, comorbidities, and socio-economic disadvantage. We conducted several sensitivity analyses, including per-protocol analyses and comparing use of any NSAID to mild opioids. RESULTS: There were 8,071 new users of COX2i and 7,623 of mild opioids with 4,168 diabetes treatment intensifications over a median follow-up of 1.6 years. Use of COX2i was associated with decreased risk of treatment intensification when compared to mild opioids (HR 0.91, 95 %CI 0.85-0.96). The results were not significant in the per-protocol analyses. Use of any NSAID was associated with a lower risk of treatment intensification compared to mild opioids (HR 0.90, 95 %CI 0.85-0.96). CONCLUSIONS: Treatment with COX2i may be associated with a modest decreased risk of diabetes treatment intensification compared to mild opioids. Future clinical studies are required to confirm whether COX2 inhibition has clinically significant benefits for glycaemic control.

Future burden of myocardial infarction in Australia: impact on health outcomes between 2019 and 2038.

BACKGROUND: Myocardial infarction (MI) remains a major health burden in Australia. Yet the future burden of MI has not been extensively studied for the Australian population. METHODS: A multistate lifetable model was constructed to estimate the lifetime risk of MI and project the health burden of MI for the Australian population aged between 40 and 100 years over a 20-year period (2019-2028). Data for the model was primarily sourced from the Victorian linked dataset and supplemented with other national data. RESULTS: The lifetime risk of MI from age 40 years was estimated as 24.4% for males and 13.2% for females in 2018. From 2019-2038, 891 142 Australians were projected to develop incident MI. By 2038, the model estimated there would be 702 226 people with prevalent MI, 51 262 incident non-fatal MI and 3 717 incident fatal MI; these numbers represent a significant increase compared to the 2019 estimates, with a 27.0% (148 827), 62.0% (19 629), and 104.7% (1 901) rise, respectively. Projected years of life lived (YLL) (5% discount) accrued by the Australian population were 174 795 232 (84, 356 304 in males and 90 438 928 in females), with 7 657 423 YLL among people with MI (4 997 009 in males and 2 660 414 in females). CONCLUSION: The burden of MI was projected to increase between 2019 to 2038 in Australia. The outcomes of the model provide important information for decision-makers to prioritise population-wide prevention strategies to reduce the burden of MI.

Trends in the Incidence of End-Stage Kidney Disease in Type 1 and Type 2 Diabetes in Australia, 2010-2019.

RATIONALE & OBJECTIVE: Trends in end-stage kidney disease (ESKD) among people with diabetes may inform clinical management and public health strategies. We estimated trends in the incidence of ESKD among people with type 1 and type 2 diabetes in Australia from 2010-2019 and evaluated their associated factors. STUDY DESIGN: Cohort study. SETTING & PARTICIPANTS: 71,700 people with type 1 and 1,112,690 people with type 2 diabetes registered on the Australian National Diabetes Services Scheme (NDSS). We estimated the incidence of kidney replacement therapy (KRT) via linkage to the Australia and New Zealand Dialysis and Transplant Registry (ANZDATA) and the incidence of KRT or death from ESKD by linking the NDSS to the ANZDATA and the National Death Index for Australia. PREDICTORS: Calendar time, sex, age, and duration of diabetes. OUTCOME: Incidence of KRT and KRT or death from ESKD. ANALYTICAL APPROACH: Incidence of ESKD, trends over time, and associations with factors related to these trends were modeled using Poisson regression stratified by diabetes type and sex. RESULTS: The median duration of diabetes increased from 15.3 to 16.8 years in type 1 diabetes, and from 7.6 to 10.2 years in type 2 diabetes between 2010 and 2019. The incidence of KRT and KRT or death from ESKD did not significantly change over this time interval among people with type 1 diabetes. Conversely, the age-adjusted incidence of KRT and KRT or death from ESKD increased among males with type 2 diabetes (annual percent changes [APCs]: 2.52% [95% CI, 1.54 to -3.52] and 1.27% [95% CI, 0.53 2.03], respectively), with no significant change among females (0.67% [95% CI, -0.68 to 2.04] and 0.07% [95% CI, -0.81 to 0.96], respectively). After further adjustment for duration of diabetes, the incidence of ESKD fell between 2010 and 2019, with APCs of-0.09% (95% CI, -1.06 to 0.89) and-2.63% (95% CI, -3.96 to-1.27) for KRT and-0.97% (95% CI, -1.71 to-0.23) and-2.75% (95% CI, -3.62 to-1.87) for KRT or death from ESKD among males and females, respectively. LIMITATIONS: NDSS only captures 80%-90% of people with diabetes; lack of clinical covariates limits understanding of trends. CONCLUSIONS: While the age-adjusted incidence of ESKD increased for males and was stable for females over the last decade, after adjusting for increases in duration of diabetes the risk of developing ESKD has decreased for both males and females. PLAIN-LANGUAGE SUMMARY: Previous studies showed an increase in new cases of kidney failure among people with type 2 diabetes, but more recent data have not been available. Here, we report trends in the rate of kidney failure for people with type 2 diabetes from 2010 to 2019 and showed that while more people with type 2 diabetes are developing kidney failure, accounting for the fact that they are also surviving longer (and therefore have a higher chance of kidney failure) the growth in this population is not caused by a higher risk of kidney failure. Nevertheless, more people are getting kidney failure than before, which will impact health care systems for years to come.

Guideline concordant prescribing following myocardial infarction in people who are frail: A systematic review.

AIMS: The risk-to-benefit ratio of cardioprotective medications in frail older adults is uncertain. The objective was to systematically review prescribing of guideline-recommended cardioprotective medications following myocardial infarction (MI) in people who are frail. DATA SOURCES: Ovid Medline, PubMed and Cochrane were searched from inception to October 2022 for studies that reported prescribing of one or more cardioprotective medication classes post-MI or acute coronary syndromes in people with frailty. STUDY SELECTION: We included observational studies that reported prescribing of cardioprotective medications post-MI stratified by frailty status. RESULTS: Overall, 16 cohort studies published from 2013 to 2022 that used seven different frailty scales were included. Prescribing of all cardioprotective medication classes following MI was lower in frail compared to non-frail people, with absolute rates of prescribing varying substantially across studies. Median prescribing in frail and non-frail people, respectively, was 88.9% (IQR 81.5-96.2) and 93.1% (IQR 92.0-98.9) for aspirin; 68.1% (IQR 61.9-91.2) and 86.7% (IQR 79.5-92.8) for P2Y12-inhibitors; 83.1% (IQR 76.9-91.3) and 94.0% (IQR 87.1-95.9) for lipid-lowering therapy; 67.9% (IQR 60.6-74.0) and 74.7% (IQR 71.3-84.5) for angiotensin-converting enzyme inhibitor/angiotensin II receptor blockers; and 74.1% (IQR 69.2-79) and 77.6% (IQR 71.8-85.9) for beta-blockers. CONCLUSION: People who were frail were less likely to be prescribed guideline recommended medication classes post-MI than those who were non-frail. Further research is needed into treatment benefits and risks in frail people to avoid unnecessarily withholding treatment in this high-risk population, while also minimising potential for medication related harm.

Projecting the Health and Economic Burden of Cardiovascular Disease Among People with Type 2 Diabetes, 2022-2031.

OBJECTIVE: The aim was to project the health and economic outcomes of cardiovascular disease (CVD) among people with type 2 diabetes from Australian public healthcare and societal perspectives over the next decade. METHODS: A dynamic multistate model with yearly cycles was developed to project cardiovascular events among Australians with type 2 diabetes aged 40-89 years from 2022 to 2031. CVD risk (myocardial infarction [MI] and stroke) in the type 2 diabetes population was estimated using the 2013 pooled cohort equation, and recurrent cardiovascular event rates in the type 2 diabetes with established CVD population were obtained from the global Reduction of Atherothrombosis for Continued Health (REACH) registry. Costs and utilities were derived from published sources. Outcomes included fatal and non-fatal MI and stroke, years of life lived, quality-adjusted life years (QALYs), total healthcare costs, and total productivity losses. The annual discount rate was 5%, applied to outcomes and costs. RESULTS: Between 2022 and 2031, a total of 83,618 non-fatal MIs (95% uncertainty interval [UI] 83,170-84,053) and 58,774 non-fatal strokes (95% UI 58,458-59,013) were projected. Total years of life lived and QALYs (discounted) were projected to be 9,549,487 (95% UI 9,416,423-9,654,043) and 6,632,897 (95% UI 5,065,606-7,591,679), respectively. Total healthcare costs and total lost productivity costs (discounted) were projected to be 9.59 billion Australian dollars (AU$) (95% UI 1.90-30.45 billion) and AU$9.07 billion (95% UI 663.53 million-33.19 billion), respectively. CONCLUSIONS: CVD in people with type 2 diabetes will substantially impact the Australian healthcare system and society over the next decade. Future work to investigate different strategies to optimize the control of risk factors for the prevention and treatment of CVD in type 2 diabetes in Australia is warranted.

Targeting Diabetes Prevention to More Disadvantaged Groups Improves Cost-Effectiveness: Implications of Inequality in Type 2 Diabetes From Theoretical Interventions.

OBJECTIVES: To determine the effect of socioeconomic status on efficacy and cost thresholds at which theoretical diabetes prevention policies become cost-effective. METHODS: We designed a life table model using real-world data that captured diabetes incidence and all-cause mortality in people with and without diabetes by socioeconomic disadvantage. The model used data from the Australian diabetes registry for people with diabetes and the Australian Institute of Health and Welfare for the general population. We simulated theoretical diabetes prevention policies and estimated the threshold at which they would be cost-effective and cost saving, overall, and by socioeconomic disadvantage, from the public healthcare perspective. RESULTS: From 2020 to 2029, 653 980 people were projected to develop type 2 diabetes, 101 583 in the least disadvantaged quintile and 166 744 in the most. Theoretical diabetes prevention policies that reduce diabetes incidence by 10% and 25% would be cost-effective in the total population at a maximum per person cost of Australian dollar (AU$) 74 (95% uncertainty interval: 53-99) and AU$187 (133-249) and cost saving at AU$26 (20-33) and AU$65 (50-84). Theoretical diabetes prevention policies remained cost-effective at a higher cost in the most versus least disadvantaged quintile (eg, a policy that reduces type 2 diabetes incidence by 25% would be cost-effective at AU$238 [169-319] per person in the most disadvantaged quintile vs AU$144 [103-192] in the least). CONCLUSIONS: Policies targeted at more disadvantaged populations will likely be cost-effective at higher costs and lower efficacy compared to untargeted policies. Future health economic models should incorporate measures of socioeconomic disadvantage to improve targeting of interventions.