Supplementing prediction by EuroSCORE with social and patient-reported measures among patients undergoing cardiac surgery

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  • Pernille F Cromhout, Rigshospitalet
  • ,
  • Lau C Thygesen, Univ Southern Denmark, University of Southern Denmark
  • ,
  • Philip Moons, Univ Hosp KU Leuven, KU Leuven, University Hospital Leuven, Sect Pediat Neurol, Dept Dev & Regenerat
  • ,
  • Samer Nashef, Warwick Clinical Trials Unit, University of Warwick, Coventry, United Kingdom; Royal United Hospital, Bath, United Kingdom.
  • ,
  • Sune Damgaard, Rigshospitalet
  • ,
  • Anne V Christensen, Rigshospitalet
  • ,
  • Trine B Rasmussen, Herlev and Gentofte University Hospital
  • ,
  • Britt Borregaard, Syddansk Universitet
  • ,
  • Lars Thrysoee, Syddansk Universitet
  • ,
  • Charlotte B Thorup, Aalborg Universitet
  • ,
  • Rikke E Mols
  • Knud Juel, Univ Southern Denmark, University of Southern Denmark
  • ,
  • Selina K Berg, Syddansk Universitet, Rigshospitalet

OBJECTIVES: The risk of poor outcomes is traditionally attributed to biological and physiological processes in cardiac surgery. However, evidence exists that other factors, such as emotional, behavioral, social, and functional, are predictive of poor outcomes. Objectives were to evaluate the predictive value of several emotional, social, functional, and behavioral factors on four outcomes: death within 90 days, prolonged stay in intensive care, prolonged hospital admission, and readmission within 90 days following cardiac surgery.

METHODS: This prospective study included adults undergoing cardiac surgery 2013-2014, including information on register-based socioeconomic factors and self-reported health in a nested subsample. Logistic regression analyses to determine the association and incremental value of each candidate predictor variable were conducted. Multiple regression analyses were used to determine the incremental value of each candidate predictor variable, as well as discrimination and calibration based on the area under the curve (AUC) and Brier score.

RESULTS: Of 3217 patients, 3% died, 9% had prolonged intensive care stay, 51% had prolonged hospital admission, and 39% were readmitted to hospital. Patients living alone (odds ratio, 1.19; 95% confidence interval, 1.02-1.38), with lower educational levels (1.27; 1.04-1.54) and low health-related quality of life (1.43; 1.02-2.01) had prolonged hospital admission. Analyses revealed living alone as predictive of prolonged intensive care unit (ICU) stay (Brier, 0.08; AUC, 0.68), death (0.03; 0.71), and prolonged hospital admission (0.24; 0.62).

CONCLUSION: Living alone was found to supplement EuroSCORE in predicting death, prolonged hospital admission, and prolonged ICU stay following cardiac surgery. Low educational level and impaired health-related quality of life were, furthermore, predictive of prolonged hospital admission.

TidsskriftJournal of Cardiac Surgery
Sider (fra-til)509-521
Antal sider13
StatusUdgivet - feb. 2021

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