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.

Patterns of multi-morbidity and prediction of hospitalisation and all-cause mortality in advanced age.

Background: multi-morbidity is associated with poor outcomes and increased healthcare utilisation. We aim to identify multi-morbidity patterns and associations with potentially inappropriate prescribing (PIP), subsequent hospitalisation and mortality in octogenarians. Methods: life and Living in Advanced Age; a Cohort Study in New Zealand (LiLACS NZ) examined health outcomes of 421 Maori (indigenous to New Zealand), aged 80-90 and 516 non-Maori, aged 85 years in 2010. Presence of 14 chronic conditions was ascertained from self-report, general practice and hospitalisation records and physical assessments. Agglomerative hierarchical cluster analysis identified clusters of participants with co-existing conditions. Multivariate regression models examined the associations between clusters and PIP, 48-month hospitalisations and mortality. Results: six clusters were identified for Maori and non-Maori, respectively. The associations between clusters and outcomes differed between Maori and non-Maori. In Maori, those in the complex multi-morbidity cluster had the highest prevalence of inappropriately prescribed medications and in cluster 'diabetes' (20% of sample) had higher risk of hospitalisation and mortality at 48-month follow-up. In non-Maori, those in the 'depression-arthritis' (17% of the sample) cluster had both highest prevalence of inappropriate medications and risk of hospitalisation and mortality. Conclusions: in octogenarians, hospitalisation and mortality are better predicted by profiles of clusters of conditions rather than the presence or absence of a specific condition. Further research is required to determine if the cluster approach can be used to target patients to optimise resource allocation and improve outcomes.

A cohort study comparing cardiovascular risk factors in rural Maori, urban Maori and non-Maori communities in New Zealand.

OBJECTIVES: To understand health disparities in cardiovascular disease (CVD) in the indigenous Maori of New Zealand, diagnosed and undiagnosed CVD risk factors were compared in rural Maori in an area remote from health services with urban Maori and non-Maori in a city well served with health services. DESIGN: Prospective cohort study. SETTING: Hauora Manawa is a cohort study of diagnosed and previously undiagnosed CVD, diabetes and risk factors, based on random selection from electoral rolls of the rural Wairoa District and Christchurch City, New Zealand. PARTICIPANTS: Screening clinics were attended by 252 rural Maori, 243 urban Maori and 256 urban non-Maori, aged 20-64 years. MAIN OUTCOME MEASURES: The study documented personal and family medical history, blood pressure, anthropometrics, fasting lipids, insulin, glucose, HbA1c and urate to identify risk factors in common and those that differ among the three communities. RESULTS: Mean age (SD) was 45.7 (11.5) versus 42.6 (11.2) versus 43.6 (11.5) years in rural Maori, urban Maori and non-Maori, respectively. Age-adjusted rates of diagnosed cardiac disease were not significantly different across the cohorts (7.5% vs 5.8% vs 2.8%, p=0.073). However, rural Maori had significantly higher levels of type-2 diabetes (10.7% vs 3.7% vs 2.4%, p<0.001), diagnosed hypertension (25.0% vs 14.9% vs 10.7%, p<0.001), treated dyslipidaemia (15.7% vs 7.1% vs 2.8%, p<0.001), current smoking (42.8% vs 30.5% vs 15.2%, p<0.001) and age-adjusted body mass index (30.7 (7.3) vs 29.1 (6.4) vs 26.1 (4.5) kg/m(2), p<0.001). Similarly high rates of previously undocumented elevated blood pressure (22.2% vs 23.5% vs 17.6%, p=0.235) and high cholesterol (42.1% vs 54.3% vs 42.2%, p=0.008) were observed across all cohorts. CONCLUSIONS: Supporting integrated rural healthcare to provide screening and management of CVD risk factors would reduce health disparities in this indigenous population.

Community screening for cardiovascular risk factors and levels of treatment in a rural Maori cohort.

OBJECTIVES: To document levels of cardiovascular disease (CVD), diagnosed and undiagnosed risk factors and clinical management of CVD risk in rural Maori. METHODS: Participants (aged 20-64 years), of Maori descent and self-report, were randomly sampled to be representative of age and gender profiles of the community. Screening clinics included health questionnaires, fasting blood samples, blood pressure and anthropometric measures. Data were obtained from participants' primary care physicians regarding prior diagnoses and current clinical management. New Zealand Cardiovascular Guidelines were used to identify new diagnoses at screening and Bestpractice electronic-decision support software used to estimate 5-year CVD risk. RESULTS: Mean age of participants (n=252) was 45.7 ± 0.7, 8% reported a history of cardiac disease, 43% were current smokers, 22% had a healthy BMI, 30% were overweight and 48% obese. Hypertension was previously diagnosed in 25%; an additional 22% were hypertensive at screening. Dyslipidaemia was previously diagnosed in 14% and an additional 43% were dyslipidaemic at screening. Type-2 diabetes was previously diagnosed in 11%. Glycaemic control was achieved in only 21% of those with type-2 diabetes. Blood pressure and cholesterol were above recommended targets in more than half of those with diagnosed CVD risk factors. CONCLUSIONS: High levels of diagnosed and undiagnosed CVD risk factors, especially hypertension, dyslipidaemia and diabetes were identified in this rural Maori community. IMPLICATIONS: There is a need for opportunistic screening and intensified management of CVD risk factors in this indigenous population group.

CYP1A1 MSPI (T6235C) gene polymorphism is associated with mortality in acute coronary syndrome patients.

1. The CYP1A1 T6235C polymorphism (rs4646903) gene polymorphism has been linked to the development of coronary heart disease and cigarette smoking-related lung cancer. The present study investigated associations between survival in acute coronary syndromes (ACS), smoking and the CYP1A1 T6235C polymorphism. 2. Patients with ACS (n = 1251) were genotyped for the CYP1A1 T6235C polymorphism. Patients had a mean age of 67.0 years, 69.8% were male and follow up occurred over a median of 1.9 years. 3. Overall genotype frequencies were CC 2.2%, TC 21.7% and TT 76.1%. The CC genotype was associated with baseline characteristics of a higher incidence of Type 2 diabetes (P = 0.017), elevated body mass index (P = 0.001) and younger age (P = 0.045). Patients with the CC genotype had significantly worse survival than TT/TC patients (P = 0.014), independent of ethnicity and established clinical risk factors. When survival was stratified by smoking history, the T6235C genotype was particularly associated with mortality in past or current smokers (mortality 23.5 vs 9.4% in CC and TT/TC patients, respectively; P = 0.019) compared with those who had never smoked (mortality 11.1 vs 11.5% in CC and TT/TC patients, respectively; P = 0.853). 4. The results indicate that the homozygous CYP1A1 6235C genotype is associated with greater mortality following the onset of ACS, independent of ethnicity and clinical risk factors, but related to smoking history.