Literature DB >> 28703290

The association between peri-operative acute risk change (ARC) and long-term survival after cardiac surgery.

T G Coulson1, M Bailey1, C M Reid1,2, L Tran1, D V Mullany3, J A Smith4, D Pilcher1,5,6.   

Abstract

Acute risk change has been described as the difference in calculated mortality risk between the pre-operative and postoperative periods of cardiac surgery. We aimed to assess whether this was associated with long-term survival after cardiac surgery. We retrospectively analysed 22,570 cardiac surgical patients, with minimum and maximum follow-up of 1.0 and 6.7 years. Acute risk change was calculated as the arithmetic difference between pre- and postoperative mortality risk. 'Rising risk' represented an increase in risk from pre- to postoperative phase. The primary outcome was one-year mortality. Secondary outcomes included mortality at 3 and 5 years and time to death. Univariable and multivariable analyses were undertaken to examine the relationship between acute risk change and outcomes. Rising risk was associated with higher mortality (5.6% vs. 3.5%, p < 0.001). After adjusting for baseline risk, rising risk was independently associated with increased 1-year mortality (OR 2.6, 95%CI 2.2-3.0, p < 0.001). The association of rising risk with long-term survival was greatest in patients with highest baseline risk. Cox regression confirmed rising risk was associated with shorter time to death (HR 1.86, 1.68-2.05, p < 0.001). Acute risk change may represent peri-operative clinical events in combination with unmeasured patient risk and noise. Measuring risk change could potentially identify patterns of events that may be amenable to investigation and intervention. Further work with case review, and risk scoring with shared variables, may identify mechanisms, including the interaction between miscalibration of risk and true differences in peri-operative care.
© 2017 The Association of Anaesthetists of Great Britain and Ireland.

Entities:  

Keywords:  cardiac surgery; outcomes; patient care; quality measures; survival

Mesh:

Year:  2017        PMID: 28703290     DOI: 10.1111/anae.13967

Source DB:  PubMed          Journal:  Anaesthesia        ISSN: 0003-2409            Impact factor:   6.955


  2 in total

1.  Linkage of Australian national registry data using a statistical linkage key.

Authors:  Tim G Coulson; Michael Bailey; Chris Reid; Gil Shardey; Jenni Williams-Spence; Sue Huckson; Shaila Chavan; David Pilcher
Journal:  BMC Med Inform Decis Mak       Date:  2021-02-02       Impact factor: 2.796

2.  Use of Levosimendan in Cardiac Surgery: An Update After the LEVO-CTS, CHEETAH, and LICORN Trials in the Light of Clinical Practice.

Authors:  Fabio Guarracino; Matthias Heringlake; Bernard Cholley; Dominique Bettex; Stefaan Bouchez; Vladimir V Lomivorotov; Angela Rajek; Matti Kivikko; Piero Pollesello
Journal:  J Cardiovasc Pharmacol       Date:  2018-01       Impact factor: 3.105

  2 in total

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