- Paper Report
- Open Access
Predicting outcome after pulmonary resection
- Adrian Mellor
© Current Science Ltd 1999
- Published: 15 June 1999
- Lung resection
The National Veterans Affairs Surgical Quality Improvement Program was designed as a method of collecting data on surgical operations with a view to assessing outcome and quality of care at different institutions. This project looked at a sample of 3516 patients from their database who had undergone major pulmonary resections.
To produce a risk-adjusted model of mortality and morbidity for patients undergoing major pulmonary resections.
A total of 3516 patients undergoing major pulmonary resection were assessed, of which 2949 underwent lobectomy and 567 underwent pneumonectomy. An independent nurse reviewer recorded 122 separate variables for each operation, including four demographic, 43 historical and 17 preoperative variables, and 13 intra-operative and operation-specific variables. In the 30-day postoperative period, mortality and morbidity statistics and the presence of any one of 21 pre-defined postoperative complications were recorded. Statistical models were developed to compare the type of operation performed and the pre- and intra-operative values.
Within 30 days of the operation, there was a 4.0% and 11.5% mortality rate for lobectomy and pneumonectomy, respectively. Postoperative morbidity was 23.8% and 25.7% for lobectomy and pneumonectomy, respectively. With univariate analysis, there were 24 preoperative and nine laboratory variables associated with an increased risk of 30-day mortality and morbidity, and four and three intra-operative variables, respectively. Of these, 18 preoperative and six laboratory variables were commonly significant for both mortality and morbidity.
Multivariate analysis resulted in nine significant, independent, preoperative predictors for 30-day mortality, including age, serum albumin and disseminated cancer. Predictors for 30-day morbidity included age, serum albumin and weight loss of more than 10%.
c-Indexes for the mortality and morbidity models indicated a moderate level of predictability.
This is the largest study of its kind to date, providing a method of predicting the probability of an adverse reaction in a particular patient within 30 days of major surgery. Rates of mortality and morbidity in this study are comparable with those published elsewhere. The subjects in this study were predominantly male, with no subspeciality procedure-specific morbidity data collected. There were different variables predicting mortality and morbidity, social factors such as smoking and weight being relevant in the morbidity model. The authors demonstrate the feasibility of a multicenter perioperative study and comment on the possibility of including other variables to increase the value of the predictability models.