Short, Medium and Long-Term Cause-Specific Mortality Following First-Ever Heart Failure Hospitalisation in New Zealand.

BACKGROUND: Heart failure (HF) is associated with high mortality, but there are limited reports on the underlying cause of death. This study reports short-, medium- and long-term cause-specific mortality following first-ever HF hospitalisation in New Zealand. METHOD: First-ever HF hospitalisations were identified from hospital discharge coding between 2010 and 2013. Mortality outcomes were obtained via anonymised linkage to national datasets. Short (0-30 days), medium (31-364 days), and long-term (1-5 years) mortality rates were identified. Cause of death was identified from death certification coding and classified as cardiovascular and non-cardiovascular. Cox regression analysis was performed to adjust for confounding variables. RESULTS: A cohort of 34,264 individuals with first-ever HF hospitalisation were identified. Mean age was 75.8±13 years and 50.5% were male. A total of 21,637 (63.1%) died within 5 years of hospitalisation; 4,122 (12.0%) within the first 30 days, 6,358 (18.6%) between 31-364 days, and 11,157 (32.6%) between 1 and 5 years. Older age, male gender, Maori ethnicity, higher socioeconomic deprivation and increased comorbidity were independent factors associated with higher all-cause mortality. Cardiovascular causes accounted for 51% of total deaths. Cardiovascular mortality was 6.0%, 9.5%, and 16.7% at 30 days, 31-364 days, and 1-5 years, respectively. The most common causes of non-cardiovascular mortality were neoplasms, chronic respiratory diseases and infections, accounting for 14.6%, 11.0%, and 5.5% of total deaths respectively. Comorbidity was associated with higher non-cardiovascular mortality (hazard ratio [HR] 3.35; 95% confidence interval [CI] 3.16-3.55) but not cardiovascular mortality (HR 0.79; 95% CI 0.72-0.86). CONCLUSIONS: In New Zealand, mortality following first-ever HF hospitalisation is high. Non-cardiovascular death is common and there are ethnic inequities.

Widening ethnic inequities in heart failure incidence in New Zealand.

OBJECTIVE: Ethnic inequities in heart failure (HF) have been documented in several countries. This study describes New Zealand (NZ) trends in incident HF hospitalisation by ethnicity between 2006 and 2018. METHODS: Incident HF hospitalisations in ≥20-year-old subjects were identified through International Classification of Diseases, 10th Revision-coded national hospitalisation records. Incidence was calculated for different ethnic, sex and age groups and were age standardised. Trends were estimated with joinpoint regression. RESULTS: Of 116 113 incident HF hospitalisations, 12.8% were Maori, 5.7% Pacific people, 3.0% Asians and 78.6% Europeans/others. 64% of Maori and Pacific patients were aged <70 years, compared with 37% of Asian and 19% of European/others. In 2018, incidence rate ratios compared with European/others were 6.0 (95% CI 4.9 to 7.3), 7.5 (95% CI 6.0 to 9.4) and 0.5 (95% CI 0.3 to 0.8) for Maori, Pacific people and Asians aged 20-49 years; 3.7 (95% CI 3.4 to 4.0), 3.6 (95% CI 3.2 to 4.1) and 0.5 (95% CI 0.4 to 0.6) for Maori, Pacific people and Asians aged 50-69 years; and 1.5 (95% CI 1.4 to 1.6), 1.5 (95% CI 1.3 to 1.7) and 0.5 (95% CI 0.5 to 0.6) for Maori, Pacific people and Asians aged ≥70 years. Between 2006 and 2018, ethnicity-specific rates diverged in ≥70-year-old subjects due to a decline in European/others (annual percentage change (APC) -2.0%, 95% CI -2.5% to -1.6%) and Asians (APC -3.3%, 95% CI -4.4% to -2.1%), but rates remained unchanged for Maori and Pacific people. In contrast, regardless of ethnicity, rates either increased or remained unchanged in <70-year-old subjects. CONCLUSION: Ethnic inequities in incident HF hospitalisation have widened in NZ over the past 13 years. Urgent action is required to address the predisposing factors that lead to development of HF in Maori and Pacific people.

Paired risk scores to predict ischaemic and bleeding risk twenty-eight days to one year after an acute coronary syndrome.

OBJECTIVE: The recommended duration of dual anti-platelet therapy (DAPT) following acute coronary syndrome (ACS) varies from 1 month to 1 year depending on the balance of risks of ischaemia and major bleeding. We designed paired ischaemic and major bleeding risk scores to inform this decision. METHODS: New Zealand (NZ) patients with ACS investigated with coronary angiography are recorded in the All NZ ACS Quality Improvement registry and linked to national health datasets. Patients were aged 18-84 years (2012-2020), event free at 28 days postdischarge and without atrial fibrillation. Two 28-day to 1-year postdischarge multivariable risk prediction scores were developed: (1) cardiovascular mortality/rehospitalisation with myocardial infarction or ischaemic stroke (ischaemic score) and (2) bleeding mortality/rehospitalisation with bleeding (bleeding score). FINDINGS: In 27 755 patients, there were 1200 (4.3%) ischaemic and 548 (2.0%) major bleeding events. Both scores were well calibrated with moderate discrimination performance (Harrell's c-statistic 0.75 (95% CI, 0.74 to 0.77) and 0.69 (95% CI, 0.67 to 0 .71), respectively). Applying these scores to the 2020 European Society of Cardiology ACS antithrombotic treatment algorithm, the 31% of the cohort at elevated (>2%) bleeding and ischaemic risk would be considered for an abbreviated DAPT duration. For those at low bleeding risk, but elevated ischaemic risk (37% of the cohort), prolonged DAPT may be appropriate, and for those with low bleeding and ischaemic risk (29% of the cohort) short duration DAPT may be justified. CONCLUSION: We present a pair of ischaemic and bleeding risk scores specifically to assist clinicians and their patients in deciding on DAPT duration beyond the first month post-ACS.

Prehospital identification of ST-segment elevation myocardial infarction and mortality (ANZACS-QI 61).

BACKGROUND: Early recognition of ST-segment elevation myocardial infarction (STEMI) is needed for timely cardiac monitoring and reperfusion therapy. METHODS: Three anonymously linked New Zealand national datasets (July 2016-November 2018) were used to assess the utilisation of ambulance transport in STEMI cases, the concordance between ambulance initial clinical impressions and hospital STEMI diagnoses, and the association between initial paramedic clinical impressions and 30-day mortality. The St John Ambulance electronic record captures community call-outs and paramedic initial clinical impressions. The national cardiac (ANZACS-QI) registry and national administrative datasets capture all New Zealand public hospital admission diagnoses and mortality data. RESULTS: Of 5465 patients with STEMI, 73% were transported to hospital by ambulance. For these patients, the initial paramedic impression was STEMI in 50.7%, another acute coronary syndrome (ACS) diagnosis in 19.9% and non-ACS diagnosis in 29.7%. Only 37% of the 5465 patients with STEMI were both transported by ambulance and clinically suspected of STEMI by paramedics. Compared with patients with paramedic-'suspected STEMI', 30-day mortality was over threefold higher for patients thought to have a non-ACS condition (10.9% and 34.9%, respectively), but after adjustment for available covariates, this was substantially ameliorated (HR 1.48, 95% CI 1.22 to 1.80). CONCLUSIONS: In this national data linkage study, only 4 out of every 10 patients with STEMI were both transported by ambulance and had STEMI suspected by paramedics. Although patients with STEMI not suspected of an ACS diagnosis by paramedics had the highest mortality rate, this is largely explained by the different risk profile of these patients.

Contrasting trends in heart failure incidence in younger and older New Zealanders, 2006-2018.

OBJECTIVE: Studies indicate that age-standardised heart failure (HF) incidence has been decreasing internationally; however, contrasting trends in different age groups have been reported, with rates increasing in younger people and decreasing in the elderly. We aimed to describe age-specific trends in HF incidence in New Zealand (NZ). METHODS: In this nationwide data linkage study, we used routinely collected hospitalisation data to identify incident HF hospitalisations in NZ residents aged ≥20 years between 2006 and 2018. Age-specific and age-standardised incidence rates were calculated for each calendar year. Joinpoint regression was used to compare incidence trends. RESULTS: 116 113 incident HF hospitalisations were identified over the 13-year study period. Between 2006 and 2013, age-standardised incidence decreased from 403 to 323 per 100 000 (annual percentage change (APC) -2.6%, 95% CI -3.6 to -1.6%). This reduction then plateaued between 2013 and 2018 (APC 0.8%, 95% CI -0.8 to 2.5%). Between 2006 and 2018, rates in individuals aged 20-49 years old increased by 1.5% per year (95% CI 0.3 to 2.7%) and decreased in those aged ≥80 years old by 1.2% per year (95% CI -1.7 to -0.7%). Rates in individuals aged 50-79 years old initially declined from 2006 to 2013, and then remained stable or increased from 2013 to 2018. The proportion of HF hospitalisations associated with ischaemic heart disease decreased from 35.1% in 2006 to 28.0% in 2018. CONCLUSION: HF remains an important problem in NZ. The decline in overall incidence has plateaued since 2013 due to increasing rates of HF in younger age groups despite an ongoing decline in the elderly.

The future of population registers: linking routine health datasets to assess a population's current glycaemic status for quality improvement.

OBJECTIVES: To determine the diabetes screening levels and known glycaemic status of all individuals by age, gender and ethnicity within a defined geographic location in a timely and consistent way to potentially facilitate systematic disease prevention and management. DESIGN: Retrospective observational study. SETTING: Auckland region of New Zealand. PARTICIPANTS: 1 475 347 people who had utilised publicly funded health service in New Zealand and domicile in the Auckland region of New Zealand in 2010. The health service utilisation population was individually linked to a comprehensive regional laboratory repository dating back to 2004. OUTCOME MEASURES: The two outcomes measures were glycaemia-related blood testing coverage (glycated haemoglobin (HbA1c), fasting and random glucose and glucose tolerance tests), and the proportions and number of people with known dysglycaemia in 2010 using modified American Diabetes Association (ADA) and WHO criteria. RESULTS: Within the health service utilisation population, 792 560 people had had at least one glucose or HbA1c blood test in the previous 5.5 years. Overall, 81% of males (n=198 086) and 87% of females (n=128 982) in the recommended age groups for diabetes screening had a blood test to assess their glycaemic status. The estimated age-standardised prevalence of dysglycaemia was highest in people of Pacific Island ethnicity at 11.4% (95% CI 11.2% to 11.5%) for males and 11.6% (11.4% to 11.8%) for females, followed closely by people of Indian ethnicity at 10.8% (10.6% to 11.1%) and 9.3% (9.1% to 9.6%), respectively. Among the indigenous Maori population, the prevalence was 8.2% (7.9% to 8.4%) and 7% (6.8% to 7.2%), while for 'Others' (mainly Europeans) it was 3% (3% to 3.1%) and 2.2% (2.1% to 2.2%), respectively. CONCLUSIONS: We have demonstrated that the data linkage between a laboratory repository and national administrative datasets has the potential to provide a systematic and consistent individual level clinical information that is relevant to medical auditing for a large geographically defined population.