- Meeting abstract
- Open Access
Prediction of morbidity after gastrectomy for gastric adenocarcinoma using logistic regression analysis
© Oñate-Ocaña et al; licensee BioMed Central Ltd. 2007
- Published: 5 February 2007
- Logistic Regression
- Serum Albumin
- Logistic Regression Analysis
- Retrospective Cohort
Surgical morbidity after gastrectomy remains high in some institutions. In a recent report, we reported a simple method to predict the probability of complications after gastrectomy. However, we did not stratify the severity of surgical morbidity. Therefore, the aim of this study was increase the sample size, to define the major determinants of surgical morbidity and to develop a computer model to predict the probability of complications after gastrectomy for GC.
A retrospective cohort of patients with GC who underwent gastrectomy in a 18-year period was studied. Analysis of those factors associated to surgical morbidity and mortality were performed using logistic regression methodology.
Multivariate analisis of factors associated to the event of surgical morbidity (p = 0.00001)
2.9 g/dL or less
3 to 3.49 g/dL
3.5 g/dL or more
39 or less
more than 40
Surgical bleeding (ml)
The event of surgical mortality should be regarded as a complex phenomenon associated with the interaction of various events. We are proposing to use a simple computer program based on multivariate analysis to calculate the probability of the event of surgical morbidity or mortality. This method should be tested in other institutions to assess its performance before it can be used in the decision-making process.
This article is published under license to BioMed Central Ltd.