Fast-track failure after cardiac surgery: Development of a prediction model

Vasilis A. Constantinides, Paris P. Tekkis, Azeem Fazil, Kelly Kaur, Richard Leonard, Mike Platt, Roberto Casula, Rex Stanbridge, Ara Darzi, Thanos Athanasiou

Research output: Contribution to journalArticle

33 Citations (Scopus)

Abstract

OBJECTIVE: Risk factors for unsuccessful fast-tracking of cardiac surgery patients have not been collectively defined in the literature. The aim of this study was to determine risk factors for fast-track failure and incorporate them into a predictive fast-track failure score. DESIGN: Prospective observational study. SETTING: Cardiothoracic Department of St Mary's Hospital, London. PATIENTS: Data were collected from April 2003 to April 2005 including 1,084 patients undergoing heart surgery who were admitted into the fast-track unit. INTERVENTIONS: Multifactorial logistic regression was used to develop a propensity score for estimating the likelihood of fast-track failure. MEASUREMENTS AND MAIN RESULTS: One hundred and sixty-nine patients failed fast-track management (15.6%). Independent predictors for fast-track failure were impaired left ventricular function with or without recent acute coronary syndrome (odds ratios 2.89 and 1.65 respectively), re-do operation (one, two, or more vs. none, odds ratio 1.75, 7.98), extracardiac arteriopathy (odds ratio 2.63), preoperative intra-aortic balloon pump (odds ratio 3.09), raised serum creatinine in μmol/L (120-150, >150 vs. <120, odds ratio 1.57, 11.24), and nonelective (odds ratio 3.43) and complex surgery (odds ratio 2.70). Model validation showed very good discrimination (area under the curve = 0.815) and calibration (ĉ statistic = 8.527, p = .129). CONCLUSIONS: The fast-track failure score incorporates several preoperative factors and has been successfully internally validated; after undergoing external validation and possible recalibration it may be used as a tool to facilitate planning and flow of cardiac surgery patients, based on the predicted probability of failure. Application of this score may limit fast-track failure rates and help to reduce morbidity and cost.

Original languageEnglish
Pages (from-to)2875-2882
Number of pages8
JournalCritical Care Medicine
Volume34
Issue number12
DOIs
Publication statusPublished - Dec 2006

Keywords

  • Cardiac surgery
  • Fast-track
  • Nomogram
  • Risk factors

Fingerprint Dive into the research topics of 'Fast-track failure after cardiac surgery: Development of a prediction model'. Together they form a unique fingerprint.

  • Cite this

    Constantinides, V. A., Tekkis, P. P., Fazil, A., Kaur, K., Leonard, R., Platt, M., Casula, R., Stanbridge, R., Darzi, A., & Athanasiou, T. (2006). Fast-track failure after cardiac surgery: Development of a prediction model. Critical Care Medicine, 34(12), 2875-2882. https://doi.org/10.1097/01.CCM.0000248724.02907.1B