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Published on: January 8, 2020
Methods and preliminary results for a data linkage project to determine long-term survival after intensive care unit
Daniel V Mullany1, Carole L Foot, Susan E Smith
1Prince Charles Hospital, Brisbane, QLD. Dan_mullany@health.qld.gov.au
Aims:
To describe a local data linkage project to match hospital data with the Australian Institute of Health and Welfare (AIHW) National Death Index (NDI) to assess long-term outcomes of intensive care unit patients.
Methods:
Data were obtained from hospital intensive care and cardiac surgery databases on all patients aged 18 years and over admitted to either of two intensive care units at a tertiary-referral hospital between 1 January 1994 and 31 December 2005. Date of death was obtained from the AIHW NDI by probabilistic software matching, in addition to manual checking through hospital databases and other sources. Survival was calculated from time of ICU admission, with a censoring date of 14 February 2007. Data for patients with multiple hospital admissions requiring intensive care were analysed only from the first admission. Summary and descriptive statistics were used for preliminary data analysis. Kaplan-Meier survival analysis was used to analyse factors determining long-term survival.
Results:
During the study period, 21,415 unique patients had 22,552 hospital admissions that included an ICU admission; 19,058 surgical procedures were performed with a total of 20,092 ICU admissions. There were 4936 deaths. Median follow-up was 6.2 years, totalling 134,203 patient years. The casemix was predominantly cardiac surgery (80%), followed by cardiac medical (6%), and other medical (4%). The unadjusted survival at 1, 5 and 10 years was 97%, 84% and 70%, respectively. The 1-year survival ranged from 97% for cardiac surgery to 36% for cardiac arrest. An APACHE II score was available for 16,877 patients. In those discharged alive from hospital, the 1, 5 and 10-year survival varied with discharge location.
Conclusions:
ICU-based linkage projects are feasible to determine long-term outcomes of ICU patients.
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