Prediction of Postoperative Pulmonary Complications on the Basis of Preoperative Risk Factors in Patients Who Had Undergone Coronary Artery Bypass Graft Surgery

Author:

Hulzebos Erik HJ1,Van Meeteren Nico LU2,De Bie Rob A3,Dagnelie Pieter C4,Helders Paul JM5

Affiliation:

1. EHJ Hulzebos, PT, MSc, is Physiotherapist and Human Movement Scientist, Rudolf Magnus Institute for Neuroscience, Department of Rehabilitation, Section of Physical Therapy, University Medical Center Utrecht, Room F 00.810, PO Box 85500, 3508 GA Utrecht, the Netherlands.

2. NLU Van Meeteren, PT, PhD, is Associate Professor, Rudolf Magnus Institute for Neuroscience, Department of Rehabilitation, Section of Physical Therapy, University Medical Center Utrecht, and Head, Department of Physiotherapy, Academy of Health Sciences Utrecht, Utrecht, the Netherlands

3. RA De Bie, PT, PhD, is Epidemiologist, Department of Epidemiology, University of Maastricht, Maastricht, the Netherlands

4. PC Dagnelie, PhD, is Nutritional Epidemiologist, Department of Epidemiology, University of Maastricht

5. PJM Helders, PT, PhD, is Clinical Professor, Department of Paediatric Physical Therapy, University Medical Center Utrecht, and Professor, Department of Physiotherapy, Academy of Health Sciences Utrecht

Abstract

Abstract Background and Purpose. Pulmonary complications are among the most frequently reported complications after coronary artery bypass graft (CABG) surgery. However, the risks of postoperative pulmonary complications (PPCs) are not equal for all patients. The aim of this study was to develop a model, based on preoperative factors, for classifying patients with high and low risks for PPCs in order to implement tailored interventions. Subjects and Methods. Postoperative pulmonary complications were examined in 117 adult patients who had undergone elective CABG surgery at the University Medical Centre Utrecht, Utrecht, the Netherlands. The presence of preoperative risk factors (N=12) that have been described in the literature was noted for each patient. A risk model was developed by use of logistic regression analysis. Results. Preoperative risk factors for developing PPCs were an age of ≥70 years, productive cough, diabetes mellitus, and a history of cigarette smoking. Protective factors against the development of PPCs were a predicted inspiratory vital capacity of ≥75% and a predicted maximal expiratory pressure of ≥75%. These risk and protective factors were included in the model (sensitivity=87% and specificity=56%), and a sum score for its clinical use was generated. Discussion and Conclusion. Six factors that can be determined easily before surgery, with need for only simple pulmonary testing, can provide a model for identifying patients at risk of developing PPCs after CABG surgery.

Publisher

Oxford University Press (OUP)

Subject

Physical Therapy, Sports Therapy and Rehabilitation

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