Reproductive endocrinology

Normative cut-offs for polycystic ovary syndrome diagnostic features in adolescents using cluster analysis

Eur J EndocrinolPublished Cross-sectional analysis of a population-based prospective cohort

Authors' conclusion

In this novel study, we define the normative diagnostic criteria cut-offs in this unselected adolescent population and show that these cut-offs correspond to lower percentiles than conventional cut-offs. These findings highlight the pertinent need to re-define PCOS diagnostic cut-offs in adolescents. Validation is required in larger, multi-ethnic, and well-characterised adolescent cohorts.

Study context

Population
Adolescents from the Menstruation in Teenagers Study, a subgroup of the Raine Study; mean age at polycystic ovary syndrome (PCOS) assessment 15.2 years
Participants
244 adolescents
Outcome
Normative cut-offs for mFG score, free testosterone, free androgen index and menstrual cycle length
Methodological detailsK-means cluster analysis, receiver operating characteristics curves, community-based
  • K-means cluster analysis
  • Receiver operating characteristics curves
  • Community-based

Main finding

As reported in the abstract

Normative cut-offs for PCOS diagnostic features

Modified Ferriman-Gallwey (mFG) score cut-off (65th population percentile)

1.0

Free testosterone cut-off (71st population percentile)

23.4 pmol/L

Free androgen index (FAI) cut-off (70th population percentile)

3.6

Menstrual cycle length cut-off (59th population percentile)

29 days

Observational data: associations, not effects.

Original publication

Normative cut-offs for polycystic ovary syndrome diagnostic features in adolescents using cluster analysis. Eur J Endocrinol. Published 27 May 2023. doi:10.1093/ejendo/lvad055

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