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PCOS 2018
Journal of Clinical and Molecular Endocrinology
ISSN: 2572-5432
Page 20
June 07-08, 2018
London, UK
4
th
World Congress on
Polycystic Ovarian
Syndrome
Background:
Menstrual disturbance in polycystic ovary
syndrome (PCOS) may be a predictor for grade of insulin
resistance (IR).
Objectives:
To observe relation of variants of menstrual
disturbances with IR and metabolic syndrome in PCOS.
Methods:
This cross sectional study included 100 PCOSwomen
[age: 22.34±4.40 years; body mass index (BMI) 25.96±4.87 kg/
m
2
; mean±SD], diagnosed by Rotterdam criterion and 60 age
matched controls (age: 22.98±4.64 years, BMI 21.15±3.91 kg/
m
2
; mean±SD). The subgroups were classified according to
menstrual cycle length as: gr-I (<26 days; polymenorrhoeic),
gr-II (26–34 days; eumenorrhoeic), gr-III (35–45days; mild
oligomenorrhoeic), gr-IV (6 weeks to three months; severe
oligomenorrhoeic) and gr-V (>3months; amenorrhoeic). Insulin
and glucose were measured to determine glycemic status and
IR.
Results:
Oligomenorrhoea was more among the age group
of 16–30 (~60%), whereas one third of age group of 31–35
was amenorrhoeic. BMI and waist circumference (WC) were
significantly higher in all subgroups of PCOS than control (gr-I:
30±4.49, gr-II: 24.75±3.85, gr-III: 26.08±5.37, gr-IV: 26.02±4.68,
gr-V: 83.58±14.51, control: 21.14±3.90 kg/m
2
; p<0.001;
WC: 92.00±0.00, 81.28±9.75, 85.56±11.57, 81.22±10.61,
83.58±14.51 and 72.02±7.44, respectively; p<0.001). PCOS
and control also showed statistically significant differences
for IR (100% vs. 27.3% vs. 51.4% vs. 53.8% vs. 61.5% vs.
3.3%, respectively; p<0.001) and metabolic syndrome (50%
vs. 11.1% vs. 31.3% vs. 22.25% vs. 41.7% vs. 3.3%; p=0.002)
and prediabetes (50% vs. 22.25% vs. 29% vs. 27.8% vs. 33.3%
vs. 1.6%; p=0.002). Each subgroup had statistically significant
values of fasting glucose, 2-h glucose, fasting insulin, FG/FI,
HOMA-IR, total cholesterol, triglycerides, HDL, LDL than that of
control (p<0.05 for all). Multiple regression analysis revealed
that cycle length of menstruation (p=0.014), WC (p=0.050)
and Ferriman-Gallwey score (p=0.0108) were independent
predictors of homeostatic model assessment (HOMA-IR) in
PCOS.
Conclusions:
Prevalence of IR and metabolic abnormalities
are higher in PCOS. Subgroups with amenorrhoea and
oligoamenorrhoea have adverse metabolic profile and IR.
Biography
N Parajuli is a Resident Doctor studying MD in the Department of Endocri-
nology, Bangabandhu Sheikh Mujib Medical University (BSMMU) Dhaka,
Bangladesh. His research interests are in PCOS, Infertility, Diabetes and obe-
sity. He has attended and presented posters in reputed National and Inter-
national conferences. He is also working as amember in PCOS Study Group
at BSMMU, Bangladesh.
drnareshparajuli@gmail.comRelationship between variants of menstrual disturbance and
insulin resistance in patients with polycystic ovary syndrome in
Bangladesh
Naresh Parajuli, S Jahan
and
M A Hasanat
Bangabandhu Sheikh Mujib Medical University (BSMMU), Bangladesh
Naresh Parajuli et al., J Clin Mol Endocrinol 2018, Volume 3
DOI: 10.21767/2572-5432-C1-002