New decision-tree model for defining the risk of reproductive failure

Am J Reprod Immunol. 2013 Jul;70(1):59-68. doi: 10.1111/aji.12098. Epub 2013 Mar 11.

Abstract

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 35 years and >13% CD56⁺CD16⁺ NK cells showed the highest risk of further pregnancy loss (100%).

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Abortion, Habitual / immunology*
  • Adult
  • CD56 Antigen / immunology*
  • Decision Support Techniques*
  • Embryo Loss / immunology*
  • Female
  • GPI-Linked Proteins / immunology
  • Humans
  • Killer Cells, Natural / immunology*
  • Pregnancy
  • Receptors, IgG / immunology*
  • Risk Factors

Substances

  • CD56 Antigen
  • FCGR3B protein, human
  • GPI-Linked Proteins
  • NCAM1 protein, human
  • Receptors, IgG