New Decision-Tree Model for Defining the Risk of Reproductive Failure

作者：Ramos Medina Rocio; Garcia Segovia Aurea; Leon Juan A; Alonso Barbara; Tejera Alhambra Marta; Gil Juana; Caputo Juan D; Seyfferth Ansgar; Aguaron Angel; Vicente Angeles; Ordonez Daniel; Alonso Jorge; Carrillo de Albornoz Elena; Carbone Javier; Caballero Pedro; Fernandez Cruz Eduardo; Ortiz Quintana Luis; Sanchez Ramon Silvia^*

来源：American Journal of Reproductive Immunology, 2013, 70(1): 59-68.

DOI：10.1111/aji.12098

• Decision-tree model
• NK cells
• recurrent reproductive failure

Problem 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. Results 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. Conclusions Women with age above 35years and %26gt;13% CD56+CD16+ NK cells showed the highest risk of further pregnancy loss (100%).

• 出版日期2013-7