Two logistic models for the prediction of hypothyroidism in pregnancy
2011

Predicting Hypothyroidism in Pregnant Women

Sample size: 197 publication 10 minutes Evidence: moderate

Author Information

Author(s): Mbah Anthony U, Ejim Emmanuel C, Onodugo Obinna D, Ezugwu Francis O, Eze Matthew I, Nkwor Peter O, Ugbajah Winston C

Primary Institution: University of Nigeria, Enugu Campus

Hypothesis

Gestation-related clinical variables are useful in the prediction of gestational hypothyroidism.

Conclusion

Logistic models fitting gravidity, thyroid gland size, and gestational age or body weight are useful alternatives in screening for hypothyroidism during pregnancy.

Supporting Evidence

  • 82 (50.3%) of the 163 pregnant women had thyroid gland enlargement.
  • 60 (36.8%) had hypothyroidism as defined by FT4 values below and/or TSH above their laboratory reference ranges.
  • Both logistic models showed a sensitivity of 100% in the prospective validation study.

Takeaway

Doctors can use simple measurements like how many times a woman has been pregnant and the size of her thyroid to check if she might have thyroid problems during pregnancy.

Methodology

The study involved two phases: an initial study with 163 pregnant women and a prospective validation study with 197 pregnant women, using logistic regression models to predict hypothyroidism.

Limitations

The study did not include fetal screening to assess the impact of hypothyroidism on fetal outcomes.

Participant Demographics

Participants were pregnant women attending antenatal clinics, with a mean age of 29.9 years in the initial study and 23.8 years in the validation study.

Statistical Information

P-Value

p<0.0001

Confidence Interval

95% Confidence interval = -0.029 to 0.457

Statistical Significance

p<0.01

Digital Object Identifier (DOI)

10.1186/1756-0500-4-205

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