Reply to “Developing a Risk Prediction Model for Intensive Care Unit Mortality after Cardiac Surgery”

Samuel H. Howitt; Ignacio Malagon; Charles N. McCollum; Stuart W. Grant

doi:10.1055/s-0038-1639342

The Thoracic and Cardiovascular Surgeon, Table of Contents

Thorac Cardiovasc Surg 2018; 66(08): e3-e4
DOI: 10.1055/s-0038-1639342

Reply to Letter to the Editor

Georg Thieme Verlag KG Stuttgart · New York

Reply to “Developing a Risk Prediction Model for Intensive Care Unit Mortality after Cardiac Surgery”

Samuel H. Howitt

¹Institute of Cardiovascular Sciences, University of Manchester, Manchester, England, United Kingdom of Great Britain and Northern Ireland

²Department of Cardiothoracic Anaesthesia and Critical Care, University Hospital of South Manchester NHS Foundation Trust, Manchester, United Kingdom of Great Britain and Northern Ireland

,

Ignacio Malagon

²Department of Cardiothoracic Anaesthesia and Critical Care, University Hospital of South Manchester NHS Foundation Trust, Manchester, United Kingdom of Great Britain and Northern Ireland

,

Charles N. McCollum

¹Institute of Cardiovascular Sciences, University of Manchester, Manchester, England, United Kingdom of Great Britain and Northern Ireland

,

Stuart W. Grant

¹Institute of Cardiovascular Sciences, University of Manchester, Manchester, England, United Kingdom of Great Britain and Northern Ireland

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References
1 Howitt SH, Caiado C, McCollum C. , et al. Validation of three postoperative risk prediction models for intensive care unit mortality after cardiac surgery. Thorac Cardiovasc Surg 2018;
2 Hickey GL, Grant SW, Murphy GJ. , et al. Dynamic trends in cardiac surgery: why the logistic EuroSCORE is no longer suitable for contemporary cardiac surgery and implications for future risk models. Eur J Cardiothorac Surg 2013; 43 (06) 1146-1152
3 Howitt SH, Herring M, Malagon I, McCollum CN, Grant SW. Incidence and outcomes of sepsis after cardiac surgery as defined by the Sepsis-3 guidelines. Br J Anaesth 2018; 120 (03) 509-516
4 Peduzzi P, Concato J, Kemper E, Holford TR, Feinstein AR. A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol 1996; 49 (12) 1373-1379