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Variables Influencing Pregnancy Termination Following Prenatal Diagnosis of Fetal Chromosome Abnormalities
Author(s) -
Hawkins Anne,
Stenzel Ana,
Taylor Joanne,
Chock Valerie Y.,
Hudgins Louanne
Publication year - 2013
Publication title -
journal of genetic counseling
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.867
H-Index - 52
eISSN - 1573-3599
pISSN - 1059-7700
DOI - 10.1007/s10897-012-9539-1
Subject(s) - medicine , genetic counseling , obstetrics , gestational age , logistic regression , advanced maternal age , pregnancy , prenatal diagnosis , abnormality , referral , univariate analysis , cohort , chromosome abnormality , gynecology , genetic testing , fetus , chromosome , multivariate analysis , genetics , karyotype , biology , psychiatry , family medicine , gene
The objective of this study was to identify variables that may influence the decision to terminate or continue a pregnancy affected by a chromosome abnormality. We performed a retrospective cohort analysis of 286 pregnancies diagnosed with a chromosome abnormality following genetic counseling and prenatal diagnosis. Data obtained included procedure type, chromosome results, ethnicity, maternal age, use of fertility treatments, and uptake of genetic counseling after results, among other factors. Wilcoxon rank sum test, Fisher's exact test, and univariate and multivariate logistic regression models were used for data analysis. The overall termination rate in this study was 82.9 %. A lower likelihood to terminate was found in pregnancies with a diagnosis of a sex chromosome abnormality (OR 0.05, p < .0001), Filipina race (OR 0.10, p = .03), and uptake of second genetic counseling session (OR 0.05, p < .0001). Prior history of termination was associated with increased likelihood to terminate (OR 8.6, p = .02). Factors revealing no statistically significant association with termination included maternal age, gestational age, clinic site, fetal gender, ultrasound anomalies, reason for referral and who informed the patient. Our data affirm the complexity of the decision making process and reinforce that providers should refrain from making assumptions regarding a patient's likelihood to terminate based on factors such as maternal age, gestational age, type of procedure, or ultrasound.