Pre-existing medical conditions as predictors of adverse events in day-case surgery

Citation
F. Chung et al., Pre-existing medical conditions as predictors of adverse events in day-case surgery, BR J ANAEST, 83(2), 1999, pp. 262-270
Citations number
20
Categorie Soggetti
Aneshtesia & Intensive Care","Medical Research Diagnosis & Treatment
Journal title
BRITISH JOURNAL OF ANAESTHESIA
ISSN journal
00070912 → ACNP
Volume
83
Issue
2
Year of publication
1999
Pages
262 - 270
Database
ISI
SICI code
0007-0912(199908)83:2<262:PMCAPO>2.0.ZU;2-V
Abstract
We have developed mathematical models to estimate the risk of perioperative adverse events in patients with pre-existing conditions undergoing day-cas e surgery. We studied 17 638 consecutive day-case surgical patients in a pr ospective study. Preoperative, intraoperative and postoperative data were c ollected. Risk modelling was performed with backward stepwise multiple logi stic regression and validated on a separate subset of our patients. Eightee n preexisting conditions were entered into the model. We adjusted for age, sex, and duration and type of surgery. Seven associations between pre-exist ing medical conditions and perioperative adverse events were statistically significant. Hypertension predicted the occurrence of any intraoperative ev ent and intraoperative cardiovascular events. Obesity predicted intraoperat ive and postoperative respiratory events, and smoking and asthma predicted postoperative respiratory events. Castro-oesophageal reflux predicted intub ation-related events. The presented models of risk estimation were validate d internally and provided a useful tool for accurate risk estimation.