期刊
CARDIOLOGY IN THE YOUNG
卷 27, 期 9, 页码 1694-1700出版社
CAMBRIDGE UNIV PRESS
DOI: 10.1017/S1047951117000993
关键词
Congenital heart surgery; indigenous; outcomes
Background: Population-based registries report 95% 5-year survival for children undergoing surgery for CHD. This study investigated paediatric cardiac surgical outcomes in the Australian indigenous population. Methods: All children who underwent cardiac surgery between May, 2008 and August, 2014 were studied. Demographic information including socio-economic status, diagnoses and co-morbidities, and treatment and outcome data were collected at time of surgery and at last follow-up. Results: A total of 1528 children with a mean age 3.4 +/- 4.6 years were studied. Among them, 123 (8.1%) children were identified as indigenous, and 52.7% (62) of indigenous patients were in the lowest third of the socio-economic index compared with 28.2% (456) of non-indigenous patients (p <= 0.001). The indigenous sample had a significantly higher Comprehensive Aristotle Complexity score (indigenous 9.4 +/- 4.2 versus non-indigenous 8.7 +/- 3.9, p=0.04). The probability of having long-term follow-up did not differ between groups (indigenous 93.8% versus non-indigenous 95.6%, p=0.17). No difference was noted in 30-day mortality (indigenous 3.2% versus non-indigenous 1.4%, p=0.13). The 6-year survival for the entire cohort was 95.9%. The Cox survival analysis demonstrated higher 6-year mortality in the indigenous group - indigenous 8.1% versus non-indigenous 5.0%; hazard ratio (HR) = 2.1; 95% confidence intervals (CI): 1.1, 4.2; p=0.03. Freedom from surgical re-intervention was 79%, and was not significantly associated with the indigenous status (HR = 1.4; 95% CI: 0.9, 1.9; p=0.11). When long-term survival was adjusted for the Comprehensive Aristotle Complexity score, no difference in outcomes between the populations was demonstrated (HR = 1.6; 95% CI: 0.8, 3.2; p=0.19). Conclusion: The indigenous population experienced higher late mortality. This apparent relationship is explained by increased patient complexity, which may reflect negative social and environmental factors.
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