Which preoperative respiratory evaluation?

Ann Fr Anesth Reanim. 2014 Jul-Aug;33(7-8):453-6. doi: 10.1016/j.annfar.2014.07.743. Epub 2014 Aug 29.

Abstract

The preoperative respiratory evaluation aims at predicting the occurrence of postoperative respiratory complications (PORC), such as: atelectasis, pulmonary infection (bronchitis and pneumonia), acute ventilatory distress, pleural effusion, prolonged mechanical ventilation, exacerbation of chronic respiratory disease and bronchospasm. The incidence of (PORC) all surgeries combined is 6.8%. Individual surgical and anesthetic factors are impacting on the occurrence of PORC. Simple scores, including anamnestic data, clinical examination and some biological parameters were validated to assess the risk of PORC depending on the type of surgery. Data from standard pulmonary function tests (PFT) is of little use to estimate the individual risk of PORC. Most of the time, PFT abnormal parameters only confirm the clinical assessment of the severity of the illness. PFT may however be useful to confirm an improvement in the clinical condition of the patient related to the preoperative preparation. Specialized EFR, including standardized testing efforts are sometimes required in the case of lung reduction surgery. These specialized explorations can predict lung function and post-interventional pulmonary oxygenation and ensure that these are viable.

Keywords: Complications postopératoires; Explorations fonctionnelles respiratoires; Postoperative complications; Preoperative evaluation; Pulmonary function tests; Ventilation; Évaluation préopératoire.

Publication types

  • Review

MeSH terms

  • Humans
  • Postoperative Complications / diagnosis*
  • Postoperative Complications / physiopathology
  • Postoperative Complications / prevention & control*
  • Predictive Value of Tests
  • Preoperative Care / methods*
  • Respiration Disorders / diagnosis*
  • Respiration Disorders / physiopathology
  • Respiration Disorders / prevention & control*
  • Respiratory Function Tests / methods*