Clasificación de los fenotipos de
síndrome de ovario poliquístico de
acuerdo a los criterios de Rotterdam:
¿una condición estática o variable?
Author
dc.contributor.author
Echiburú López, Bárbara
Author
dc.contributor.author
Ladrón de Guevara, Amanda
Author
dc.contributor.author
Pereira, Cecilia
Author
dc.contributor.author
Pérez, Constanza
Author
dc.contributor.author
Michael, Pía
Author
dc.contributor.author
Crisosto King, Nicolás
Author
dc.contributor.author
Sir Petermann, Teresa
Admission date
dc.date.accessioned
2019-03-15T16:09:11Z
Available date
dc.date.available
2019-03-15T16:09:11Z
Publication date
dc.date.issued
2014
Cita de ítem
dc.identifier.citation
Rev Med Chile 2014; 142: 966-974
Identifier
dc.identifier.issn
07176163
Identifier
dc.identifier.issn
00349887
Identifier
dc.identifier.other
10.4067/S0034-98872014000800003
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/166440
Abstract
dc.description.abstract
Background: Polycystic Ovary Syndrome (PCOS) is tightly associated with
insulin resistance and obesity and characterized by hyperandrogenism, chronic
oligo-anovulation and polycystic ovarian morphology when fully expressed. The
2003 Rotterdam consensus proposed that two or three of these features were necessary to make the diagnosis, which generated four phenotypes. Several studies
have suggested that these phenotypes could differ in their metabolic and endocrine characteristics and that they could vary in the same patient when analyzed
throughout life. Aim: To determine if the initial classification of PCOS phenotypes
is modified by different physiological conditions. Material and Methods: We
performed a non-concurrent prospective analysis of 88 women with PCOS according to the Rotterdam criteria. The effect of physiological conditions such as
changes in body weight, pregnancy and ageing more than five years on PCOS
phenotype expression was analyzed. Results: Twenty four percent of women
became pregnant, 37% decreased and 24% increased their body weight during
follow up. These conditions modified significantly the proportion of the different
phenotypes (χ2 = 32.2, p < 0.001). For instance, weight reduction was associated
with a change to a better phenotype (p = 0.047) and even a normalization of the
PCOS condition in 27% of the patients. On the other hand, an increase in body
weight modifying body mass index in one unit, conferred an 8% probability of
changing to a worst phenotype. Conclusions: Pregnancy and changes in body
weight significantly modify PCOS phenotypes.