Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2017 Sep 11;7(9):e016947.
doi: 10.1136/bmjopen-2017-016947.

Effect of individual patient risk, centre, surgeon and anaesthetist on length of stay in hospital after cardiac surgery: Association of Cardiothoracic Anaesthesia and Critical Care (ACTACC) consecutive cases series study of 10 UK specialist centres

Affiliations

Effect of individual patient risk, centre, surgeon and anaesthetist on length of stay in hospital after cardiac surgery: Association of Cardiothoracic Anaesthesia and Critical Care (ACTACC) consecutive cases series study of 10 UK specialist centres

Olympia Papachristofi et al. BMJ Open. .

Abstract

Objectives: To determine the relative contributions of patient risk profile, local and individual clinical practice on length of hospital stay after cardiac surgery.

Design: Ten-year audit of prospectively collected consecutive cardiac surgical cases. Case-mix adjusted outcomes were analysed in models that included random effects for centre, surgeon and anaesthetist.

Setting: UK centres providing adult cardiac surgery.

Participants: 10 of 36 UK specialist centres agreed to provide outcomes for all major cardiac operations over 10 years. After exclusions (duplicates, cases operated by more than one consultant, deaths and procedures for which the EuroSCORE risk score for cardiac surgery is not appropriate), there were 107 038 cardiac surgical procedures between April 2002 and March 2012, conducted by 127 consultant surgeons and 190 consultant anaesthetists.

Main outcome measure: Length of stay (LOS) up to 3 months postoperatively.

Results: The principal component of variation in outcomes was patient risk (represented by the EuroSCORE and remaining patient heterogeneity), accounting for 95.43% of the variation for postoperative LOS. The impact of the surgeon and centre was moderate (intra-class correlation coefficients ICC=2.79% and 1.59%, respectively), whereas the impact of the anaesthetist was negligible (ICC=0.19%). Similarly, 96.05% of the variation for prolonged LOS (>11 days) was attributable to the patient, with surgeon and centre less but still influential components (ICC=2.12% and 1.66%, respectively, 0.17% only for anaesthetists). Adjustment for year of operation resulted in minor reductions in variation attributable to surgeons (ICC=2.52% for LOS and 2.23% for prolonged LOS).

Conclusions: Patient risk profile is the primary determinant of variation in LOS, and as a result, current initiatives to reduce hospital stay by modifying consultant performance are unlikely to have a substantial impact. Therefore, substantially reducing hospital stay requires shifting away from a one-size-fits-all approach to cardiac surgery, and seeking alternative treatment options personalised to high-risk patients.

Keywords: EuroSCORE; anaesthetist; cardiac surgery; centre; hospitalisation; length-of-stay; surgeon.

PubMed Disclaimer

Conflict of interest statement

Competing interests: OP declares partial funding by MRC and by a Gates Cambridge fellowship outside of the submitted work; AAK reports grants and personal fees from Pharmacosmos and personal fees from Vifor Pharma outside the submitted work.

Figures

Figure 1
Figure 1
Flow diagram showing how the final dataset was derived. LOS, length of stay.
Figure 2
Figure 2
Mean postoperative length of stay (LOS) in hospital and 95% CIs over time for each participating centre.
Figure 3
Figure 3
Estimated mean postoperative length of stay (LOS) in hospital and 95% CI for each surgeon (A, B) and anaesthetist (C, D) for a patient with average EuroSCORE risk. Horizontal line is the estimated average LOS for a patient with average EuroSCORE.
Figure 4
Figure 4
Estimated mean postoperative length of stay (LOS) in hospital and 95% CI for each centre (A, B) for a patient with average EuroSCORE risk. Horizontal line is the estimated average LOS for a patient with average EuroSCORE.
Figure 5
Figure 5
Predicted postoperative length of stay (LOS) in hospital, for a patient with average EuroSCORE risk, in each centre over time.

References

    1. Blue Book Online. The Society for Cardiothoracic Surgery in Great Britain & Ireland. 2017. http://bluebook.scts.org/#ActivityRates (cited 14 March 2017).
    1. Ducel G, Fabry J, Nicolle L. Prevention of hospital acquired infections: a practical guide, 2002.
    1. Khan NA, Quan H, Bugar JM, et al. Association of postoperative complications with hospital costs and length of stay in a tertiary care center. J Gen Intern Med 2006;21:177–80. 10.1007/s11606-006-0254-1 - DOI - PMC - PubMed
    1. Kaboli PJ, Go JT, Hockenberry J, et al. Associations between reduced hospital length of stay and 30-day readmission rate and mortality: 14-year experience in 129 Veterans Affairs hospitals. Ann Intern Med 2012;157:837–45. 10.7326/0003-4819-157-12-201212180-00003 - DOI - PubMed
    1. Agency for Healthcare Research Quality. Interim Update on 2013 Annual Hospital-Acquired Condition Rate and Estimates of Cost Savings and Deaths Averted From 2010 to 2013. 2015 . (cited 2017 May 9) https://www.ahrq.gov/sites/default/files/wysiwyg/professionals/quality-p....