Long-term survival and life expectancy following an acute heart failure hospitalization in Australia and New Zealand.

AIMS: Contemporary long-term survival following a heart failure (HF) hospitalization is uncertain. We evaluated survival up to 10 years after a HF hospitalization using national data from Australia and New Zealand, identified predictors of survival, and estimated the attributable loss in life expectancy. METHODS AND RESULTS: Patients hospitalized with a primary diagnosis of HF from 2008-2017 were identified and all-cause mortality assessed by linking with Death Registries. Flexible parametric survival models were used to estimate survival, predictors of survival and loss in life expectancy. A total of 283 048 patients with HF were included (mean age 78.2 ± 12.3 years, 50.8% male). Of these, 48.3% (48.1-48.5) were surviving by 3 years, 34.1% (33.9-34.3) by 5 years and 17.1% (16.8-17.4) by 10 years (median survival 2.8 years). Survival declined with age with 53.4% of patients aged 18-54 years and 6.2% aged ≥85 years alive by 10 years (adjusted hazard ratio [aHR] for mortality 4.84, 95% confidence interval [CI] 4.65-5.04 for ≥85 years vs. 18-54 years) and was worse in male patients (aHR 1.14, 95% CI 1.13-1.15). Prior HF (aHR 1.20, 95% CI 1.18-1.22), valvular and rheumatic heart disease (aHR 1.11, 95% CI 1.10-1.13) and vascular disease (aHR 1.07, 95% CI 1.04-1.09) were cardiovascular comorbidities most strongly associated with long-term death. Non-cardiovascular comorbidities and geriatric syndromes were common and associated with higher mortality. Compared with the general population, HF was associated with a loss of 7.3 years in life expectancy (or 56.6% of the expected life expectancy) and reached 20.5 years for those aged 18-54 years. CONCLUSION: Less than one in five patients hospitalized for HF were surviving by 10 years with patients experiencing almost 60% loss in life expectancy compared with the general population, highlighting the considerable persisting societal burden of HF. Concerted multidisciplinary efforts are needed to improve post-hospitalization outcomes of HF.

Long term survival after acute myocardial infarction in Australia and New Zealand, 2009-2015: a population cohort study.

OBJECTIVE: To assess long term survival and patient characteristics associated with survival following acute myocardial infarction (AMI) in Australia and New Zealand. DESIGN: Cohort study. SETTING, PARTICIPANTS: All patients admitted with AMI (ICD-10-AM codes I21.0-I21.4) to all public and most private hospitals in Australia and New Zealand during 2009-2015. MAIN OUTCOME MEASURE: All-cause mortality up to seven years after an AMI. RESULTS: 239 402 initial admissions with AMI were identified; the mean age of the patients was 69.3 years (SD, 14.3 years), 154 287 were men (64.5%), and 64 335 had ST-elevation myocardial infarction (STEMI; 26.9%). 7-year survival after AMI was 62.3% (STEMI, 70.8%; non-ST-elevation myocardial infarction [NSTEMI], 59.2%); survival exceeded 85% for people under 65 years of age, but was 17.4% for those aged 85 years or more. 120 155 patients (50.2%) underwent revascularisation (STEMI, 72.2%; NSTEMI, 42.1%); 7-year survival exceeded 80% for patients in each group who underwent revascularisation, and was lower than 45% for those who did not. Being older (85 years or older v 18-54 years: adjusted hazard ratio [aHR], 10.6; 95% CI, 10.1-11.1) or a woman (aHR, 1.15; 95% CI, 1.13-1.17) were each associated with greater long term mortality during the study period, as was prior heart failure (aHR, 1.79; 95% CI, 1.76-1.83). Several non-cardiac conditions and geriatric syndromes common in these patients were independently associated with lower long term survival, including major and metastatic cancer, cirrhosis and end-stage liver disease, and dementia. CONCLUSION: AMI care in Australia and New Zealand is associated with high rates of long term survival; 7-year rates exceed 80% for patients under 65 years of age and for those who undergo revascularisation. Efforts to further improve survival should target patients with NSTEMI, who are often older and have several comorbid conditions, for whom revascularisation rates are low and survival after AMI poor.

Frequency, trends and institutional variation in 30-day all-cause mortality and unplanned readmissions following hospitalisation for heart failure in Australia and New Zealand.

AIMS: National 30-day mortality and readmission rates after heart failure (HF) hospitalisations are a focus of US policy intervention and yet have rarely been assessed in other comparable countries. We examined the frequency, trends and institutional variation in 30-day mortality and unplanned readmission rates after HF hospitalisations in Australia and New Zealand. METHODS AND RESULTS: We included patients >18 years hospitalised with HF at all public and most private hospitals from 2010-15. The primary outcomes were the frequencies of 30-day mortality and unplanned readmissions, and the institutional risk-standardised mortality rate (RSMR) and readmission rate (RSRR) evaluated using separate cohorts. The mortality cohort included 153 592 patients (mean age 78.9 ± 11.8 years, 51.5% male) with 16 442 (10.7%) deaths within 30 days. The readmission cohort included 148 704 patients (mean age 78.6 ± 11.9 years, 51.7% male) with 33 158 (22.3%) unplanned readmission within 30 days. In 392 hospitals with at least 25 HF hospitalisations, the median RSMR was 10.7% (range 6.1-17.3%) with 59 hospitals significantly different from the national average. Similarly, in 391 hospitals with at least 25 HF hospitalisations, the median RSRR was 22.3% (range 17.7-27.1%) with 24 hospitals significantly different from the average. From 2010-15, the adjusted 30-day mortality [odds ratio (OR) 0.991/month, 95% confidence interval (CI) 0.990-0.992, P < 0.01] and unplanned readmission (OR 0.998/month, 95% CI 0.998-0.999, P < 0.01) rates declined. CONCLUSION: Within 30 days of a HF hospitalisation, one in 10 patients died and almost a quarter of those surviving experienced an unplanned readmission. The risk of these outcomes varied widely among hospitals suggesting disparities in HF care quality. Nevertheless, a substantial decline in 30-day mortality and a modest decline in readmissions occurred over the study period.

Complications of cardiac implantable electronic device placement in public and private hospitals.

BACKGROUND: Few safety data exist comparing clinical outcomes in Australian public and private hospitals. We hypothesised that differences could exist between public and private hospitals due to differences in acuity and patient-level co-morbidities. AIMS: To report comparative complications of cardiac implantable electronic device (CIED) placement in public and private hospitals. METHODS: We conducted an observational cohort study of outcomes of patients aged >18 years from 2010 to 2015 undergoing a new permanent pacemaker (PPM), implantable cardioverter defibrillator (ICD) or cardiac resynchronisation therapy pacemaker or defibrillator (CRT-D/P) implant in NSW and Queensland public and private hospitals. The primary endpoint was major CIED-related complications occurring in-hospital or within 90 days of discharge. The independent effect of hospital sector was determined using multiple logistic regression, adjusting for covariates, including age, sex, co-morbidities and procedural acuity. RESULTS: A total of 32 364 new CIED implants (PPM 23 845, ICD 5361 and CRT-D/P 3158) were included (49% in private hospitals). Overall, 8.0% of private hospital procedures and 9.6% public hospital procedures experienced at least one complication. After adjustment, the overall risk of CIED complications was similar in private and public hospitals (OR: 0.92, 95% CI: 0.84-1.00, P = 0.06). In analysis of individual complications, adjusted all-cause in-hospital mortality was higher in private hospitals, (OR: 1.49, 95% CI: 1.03-2.16, P = 0.036) primarily driven by an excess mortality in acute cases. The adjusted risk of in-hospital generator operation (OR: 0.53, 95% CI: 0.30-0.94, P = 0.03) and post-discharge infection (OR: 0.61, 95% CI: 0.46-0.81, P < 0.001) was lower in private hospitals. CONCLUSIONS: These data identify important similarities and differences in safety outcomes of CIED implantation between Australian public and private hospitals.

Institutional Variation in Quality of Cardiovascular Implantable Electronic Device Implantation: A Cohort Study.

Background: Cardiovascular implantable electronic devices (CIEDs) are associated with procedure-related complications, yet little is known about variation in complication rates among institutions that may suggest disparities in care quality. Objective: To assess institutional variation in risk-standardized complication rates (RSCRs) for CIED. Design: Cohort study. Setting: 174 hospitals in Australia and New Zealand, 98 of which implanted at least 25 CIEDs during the study period. Participants: 81 304 patients older than 18 years (mean, 74.7 years [SD, 12.4]; 37.9% female) who received a new CIED (65 711 permanent pacemakers [PPMs] and 15 593 implantable cardioverter-defibrillators [ICDs]) in 2010 to 2015. Measurements: RSCRs and frequencies of major device-related complications during hospitalization or within 90 days of discharge. Results: Of the cohort, 6664 patients (8.2%) had a major complication. Although complication rates were higher for ICDs than PPMs (10.04% vs. 7.76%), 76.5% of all complications were attributable to PPMs (5098 vs. 1566 for ICDs). Among hospitals that implanted at least 25 CIEDs, the median RSCR was 8.1%; however, rates varied from 5.3% to 14.3%, with 22 hospitals identified as having RSCRs that differed significantly from the national average. Similar variation was observed when RSCRs for PPM implantation (n = 96 hospitals) (median RSCR, 7.6% [range, 5.4% to 12.9%]) were considered separately from those for ICD placement (n = 68 hospitals) (median RSCR, 9.7% [range, 6.2% to 16.9%]) and persisted when only elective procedures were assessed (n = 88 hospitals) (median RSCR, 7.4% [range, 4.7% to 13.0%]). Limitation: Possible unmeasured confounding from the use of administrative data. Conclusion: CIED complications are common and vary among hospitals, suggesting institutional variation in CIED care quality. Concerted clinical and policy interventions are needed to address CIED-related complications. These efforts should preferentially target PPMs, because most CIED complications are attributable to these devices. Primary Funding Source: The Hospitals Contribution Fund Research Foundation.

Sex Differences in Acute Complications of Cardiac Implantable Electronic Devices: Implications for Patient Safety.

Background To date, limited population-level studies have examined the impact of sex on the acute complications of cardiac implantable electronic devices ( CIED) , including permanent pacemakers, implantable cardioverter defibrillators, and cardiac resynchronization therapy devices. Methods and Results We studied all patients aged >18 years from 2010 to 2015 who were a resident of Australia or New Zealand, undergoing a new permanent pacemaker, implantable cardioverter defibrillator, or cardiac resynchronization therapy implant. Standardized variables were collected including patient demographic characteristics, primary and secondary diagnoses, procedures performed and discharge status. Diagnoses and procedures were coded as per the International Classification of Diseases, Tenth Revision ( ICD-10) and the Australian Classification of Health Interventions. The primary end point was the incidence of major CIED -related complications in-hospital or within 90 days of discharge, with the effect of sex evaluated using multiple logistic regression. A total of 81 304 new CIED (61 658 permanent pacemakers, 12 097 implantable cardioverter defibrillators, 7574 cardiac resynchronization therapy) implants were included (38% women). Overall, 8.5% of women and 8.0% of men experienced a CIED complication ( P=0.008). Differences between women and men remained significant after adjustment for age, procedural acuity, and comorbidities (odds ratio 1.10, 95% CI: 1.04-1.16, P<0.001). Differences in CIED complication rates were primarily driven by excess rate of in-hospital pleural drainage (1.2% women versus 0.6% men, P<0.001; adjusted odds ratio 1.86, 95% CI: 1.59-2.17, P<0.001) and pericardial drainage (0.3% women versus 0.1% men, P<0.001; adjusted odds ratio 2.17, 95% CI: 1.48-3.18, P<0.001). Conclusions Women are at higher risk of acute CIED complications. Improvements in implant technique and technologies are required to minimize the risk of implant-related complications in women.