New Decision-Tree Model for Defining the Risk of Reproductive Failure
Article first published online: 11 MAR 2013
© 2013 John Wiley & Sons Ltd
American Journal of Reproductive Immunology
Volume 70, Issue 1, pages 59–68, July 2013
How to Cite
New decision-tree model for defining the risk of reproductive failure. Am J Reprod Immunol 2013; 70: 59–68., , , , , , , , , , , , , , , , , .
- Issue published online: 11 JUN 2013
- Article first published online: 11 MAR 2013
- Manuscript Accepted: 24 JAN 2013
- Manuscript Received: 2 OCT 2012
- Spanish Ministry of Health, Social Policy and Equality. Grant Number: EC10-026
- Decision-tree model;
- NK cells;
- recurrent reproductive failure
Natural killer (NK) cells play a key role in embryo implantation and pregnancy success, whereas blood and uterine NK expansions have been involved in the pathophysiology of reproductive failure (RF). Our main goal was to design in a large observational study a tree-model decision for interpretation of risk factors for RF.
Methods of study
A hierarchical multivariate decision model based on a classification and regression tree was developed. NK and NKT-like cell subsets were analyzed by flow cytometry.
By multivariate analysis, blood NK cells expansion was an independent risk factor for RF (both recurrent miscarriages and implantation failures). We propose a new decision-tree model for the risk interpretation of women with RF based on a combination of main risk factors.
Women with age above 35 years and >13% CD56+CD16+ NK cells showed the highest risk of further pregnancy loss (100%).