Introduction
Polycystic ovary syndrome (PCOS) is the most common endocrine disorder affecting women
in childbearing age. It is a heterogeneous disorder whose pathogenesis is not well
understood despite evidence of complex interaction with genetic, behavioral and environmental
factors that contribute to its occurrence.[1]
Three distinct diagnostic criteria have been used, namely, the National Institutes
of Health (NIH), the Rotterdam consensus, and the Androgen Excess and PCOS Society
(AE-PCOS) criteria. The previous exclusion of pathologies presenting a similar clinical
picture is important for all three diagnostic criteria.[1]
In addition to being an ovulatory disorder, PCOS can also be considered a metabolic
disorder, since insulin resistance (IR) and consequent compensatory hyperinsulinemia,
which are closely related to its pathogenicity and comorbidities, can be exacerbated
by the coexistence of obesity, which affects ∼ 50% of PCOS women.[2]
However, IR is not part of the diagnostics criteria, partly and probably because of
the absence of an accurate validated method for use in clinical practice, since the
hyperinsulinemic-euglycemic clamp, the gold standard for diagnosing IR, is expensive
and difficult to perform.[3]
It has been observed that, in addition to IR, PCOS patients are at a higher risk of
developing glucose intolerance, Type 2 Diabetes Mellitus, dyslipidemia, and metabolic syndrome (MS),[1]
[2] all of which are traditional risk factors for the development of cardiovascular
diseases (CVDs).
Nevertheless, there remain uncertainties regarding the clinical outcomes and mortality
due to CVD.[4] Furthermore, the fact that these patients are predominantly young and often show
normal lipid profile could be contributing to delays in their evaluation and in the
adequate establishment of their clinical management.[1]
[5]
The purpose of this paper is to analyze the association between the indirect methods
of evaluating IR and the blood pressure, anthropometric and biochemical parameters
in a population of PCOS patients.
Methods
A cross-sectional study was performed at the Hospital Universitário de Brasília (HUB,
in the Portuguese acronym) using information obtained from the records of patients
diagnosed with PCOS from January 2011 to January 2013.
The population of the study included women 18 years of age or older with a PCOS diagnosis
according to the Rotterdam criteria.[5] Cases of thyroid dysfunction, hyperprolactinemia, congenital adrenal hyperplasia,
Cushing syndrome, glucose intolerance, diabetes, ovarian or adrenal tumors, premature
ovarian failure, patients who had used any hormonal or non-hormonal medication that
could interfere with the results during the 6 months prior to the study, patients
under 18 years of age, and records lacking any of the information required were excluded
from the study.
In addition to demographic data, such as marital status, parity and age, the analysis
included menstrual patterns, the existence of hyperandrogenism, acne, and acanthosis
nigricans. Menstrual cycles were considered anovulatory when longer than 35 and shorter
than 90 days, and amenorrheic in the absence of menstruation for at least 3 months,[6] while hirsutism was defined as a Ferriman and Gallwey[7] score of eight or more. Total blood testosterone was obtained using the chemiluminescence
method, with values exceeding 80 ng/dL considered altered.
The analysis of the anthropometric measurements included the body mass index (BMI)
and the waist circumference (WC). The BMI was obtained using the Quetelet[8] index, namely, the ratio of weight over height in square meters, and the results
were subdivided into normal (18.5–24.9), overweight (25–29.9) and obese (≥ 30). The
WC was the smallest circumference between the last rib and the iliac crest,[8] with a cutting point at 88 cm.[9]
Blood pressure (BP) and biochemical evaluation, through the analysis of the concentration
of triglycerides, total cholesterol, high-density lipoprotein cholesterol (HDL-c),
low density lipoprotein cholesterol (LDL-c), lipoproteins excluding HDL cholesterol
(non-HDL-c), and fasting glucose were also evaluated. The parameters of normality,
as well as the diagnostic criteria of MS were defined.[9] In addition, the lipid accumulation product (LAP),[10] which uses an anthropometric measurement (waist circumference) and a biochemical
measurement (triglycerides), was also calculated and considered normal when lower
than 34.5.[11]
Insulin Resistance was diagnosed using four indirect methods, namely, fasting blood
insulin in excess of 12 µIU/mL,[12] the fasting blood glucose over fasting blood insulin ratio lower than 6.4,[12] homeostatic model assessment-insulin resistance(HOMA-IR), calculated using the Mathews
formula,[13] higher than 2.71,[14] and quantitative insulin sensitivity check index(QUICKI) lower than 0.333.[12]
The Chi-square test (X[2]) or the Fisher exact test (where recommended) were used to evaluate the association
between the four indirect methods of evaluating IR and the blood pressure, anthropometric
and biochemical parameters. Contingency tables were performed with IR diagnostic method
and the BMI classified into groups (normal, overweight and obesity), and the test
for equality of proportions was used to identify which groups were different from
one another in terms of IR. The test of proportions was also used to evaluate the
differences between the frequencies among the four IR diagnostic methods. The SAS
9.3 statistical software package (SAS Institute, Cary, NC, USA) was used and considered
statistically significant when p ˂ 0.05.
The study was approved by the Committee of Ethics in Research in Human Beings of the
Faculdade de Ciências da Saúde da Universidade de Brasília (CAAE 14168613.3.0000.0030).
Results
After applying the inclusion and exclusion criteria, 83 PCOS patients were included
in the study. Age varied from 18 to 42 years-old, 44.57% of patients being single
and 51.8% nulliparous. In the clinical evaluation, 96.39% of the patients reported
oligomenorrhea or amenorrhea, 73.49%, hirsutism (Ferriman-Gallwey index), 48.19%,
acanthosis nigricans, 43.37%, acne and one patient reported androgenic alopecia. Total
testosterone exceeded 80 ng/dL in 18.29% of the patients, and 70 ng/dL in 50.60% of
them. The clinical, anthropometric, blood pressure, and biochemical results are shown
in [Table 1].
Table 1
Anthropometric, blood pressure and biochemical characteristics of the 83 patients
with polycystic ovary syndrome
|
Parameters
|
Mean ± Standard Deviation
|
Reference
|
|
Age (years)
|
28.79 ± 5.85
|
|
|
Weight (Kg)
|
76.43 ± 13.91
|
|
|
Height (cm)
|
160.12 ± 6.63
|
|
|
Ferriman-Gallwey score
|
11.83 ± 2.94
|
< 8
|
|
Body mass index
|
29.9 ± 5.28
|
18–25 kg/m2
|
|
Waist circumference
|
92.15 ± 10.72
|
< 88 cm
|
|
Systolic blood pressure
|
123.15 ± 18.38
|
< 130 mm Hg
|
|
Diastolic blood pressure
|
79.13 ± 11.00
|
< 85 mm Hg
|
|
Total cholesterol
|
183.07 ± 34.88
|
≤ 200 mg/dL
|
|
High-density lipoprotein
|
49.47 ± 12.91
|
≥ 50 mg/dL
|
|
Low-density lipoprotein
|
117.16 ± 32.74
|
< 100 mg/dL
|
|
Non-HDL lipoproteins
|
133.41 ± 35.17
|
< 130 mg/dL
|
|
Triglycerides
|
110.6 ± 59.09
|
< 150 mg/dL
|
|
Fasting blood glucose
|
87.74 ± 6.52
|
< 100 mg/dL
|
Insulin resistance was diagnosed in 66.27% of the cases using the QUICKI; in 60.24%
by the fasting blood insulin; in 59.04% by the HOMA-IR; and in 51.81% by the fasting
glucose/insulin (G/I) ratio. With regards to the frequency of IR, there was no significant
difference among the methods analyzed according to the test of proportions (p = 0.304). As shown in [Table 2], there was a statistically significant association between BMI and all the IR diagnostic
methods, as well as between IR and WC. Regarding high blood pressure, no significant
association was found for the G/I.
Table 2
Association between insulin resistance and the anthropometric and blood pressure parameters
in 83 patients with polycystic ovary syndrome
|
Method
|
BMI
|
WC
|
SBP
|
DBP
|
AH
|
|
Fasting insulinemia
|
< 0.0001[*]
|
< 0.0001[*]
|
0.0019[*]
|
0.0099[*]
|
0.0118[*]
|
|
G/I
|
0.0014[*]
|
< 0.0001[*]
|
0.1225
|
0.2308
|
0.2866
|
|
HOMA-IR
|
0.0002[*]
|
< 0.0001[*]
|
0.0051[*]
|
0.0252[*]
|
0.0253[*]
|
|
QUICKI
|
0.0001[*]
|
< 0.0001*
|
0.0057[*]
|
0.0591
|
0.0348[*]
|
Abbreviations: AH, arterial hypertension; BMI, body mass index; DBP, diastolic blood
pressure; G/I, fasting blood glucose/fasting blood insulin ratio; HOMA-IR, homeostatic
model assessment-insulin resistance; QUICKI, quantitative insulin sensitivity check
index; SBP, systolic blood pressure; WC, waist circumference.
* Chi-square test. Significant association (p < 0.05).
Obesity and overweight were diagnosed in 56.62% and 24.09% of the patients, respectively.
Comparing the BMI groups two by two, the prevalence of IR was higher among the obese
patients regardless of the indirect method used, varying from 68.09–82.98% using the
G/I and the QUICKI, respectively. In overweight women, IR varied from 50–55%, while
in normal BMI women, the highest IR value was 25%, according to the QUICKI, and the
lowest value was 18.75%, as per the other three methods.
[Table 3] shows that the proportion of IR diagnoses was statistically higher in obese women
when compared with the proportion of normal BMI patients in all methods of assessment.
There was no difference in proportions of IR among normal weight and overweight women.
Table 3
Test of proportions for the body mass index groups as related to the insulin resistance
diagnostic methods
|
Method
|
Normal/Overweight
|
Normal/Obesity
|
Overweight/Obesity
|
|
Fasting insulinemia
|
0.1117
|
< 0.0001[*]
|
0.0395[*]
|
|
G/I
|
0.3119
|
0.0017[*]
|
0.0611
|
|
HOMA-IR
|
0.1117
|
0.0001[*]
|
0.0629
|
|
QUICKI
|
0.0779
|
< 0.0001[*]
|
0.0881
|
Abbreviations: G/I, fasting blood glucose/fasting blood insulin ratio; HOMA-IR, homeostatic
model assessment- insulin resistance; QUICKI, quantitative insulin sensitivity check
index.
* Test of proportions; Significant difference between the proportions (p < 0.05).
With regards to the biochemical parameters, the association between IR and the non-HDL-c
level was statistically significant according to the QUICKI, while in the case of
the triglycerides a statistical significance was found in the fasting blood insulin
and the QUICKI ([Table 4]). [Table 4] also shows a statistically significant association among all the IR diagnostic methods
and the LAP.
Table 4
Association between insulin resistance diagnostic methods and the lipid accumulation
product and biochemical variables in polycystic ovary syndrome patients
|
Method
|
LAP
|
Total Cholesterol
|
HDL-c
|
LDL-c
|
Non-HDL-c
|
TG
|
|
Fasting Insulinemia
|
0.0001[*]
|
0.4863
|
0.1149
|
0.6782
|
0.0941
|
0.0099 [*#]
|
|
G/I
|
0.0001[*]
|
0.1148
|
0.2689
|
0.6922
|
0.0816
|
0.1579 #
|
|
HOMA-IR
|
0.0001[*]
|
0.4107
|
0.1786
|
0.5686
|
0.1448
|
0.0750 #
|
|
QUICKI
|
0.0001[*]
|
0.2657
|
0.1623
|
0.9134
|
0.0190*
|
0.0252 [*#]
|
Abbreviations: G/I, fasting blood glucose/fasting blood insulin ratio; HDL-c, high-density
lipoprotein cholesterol; HOMA-IR, homeostatic model assessment-insulin resistance;
LAP, lipid accumulation product; LDL-c, low-density lipoprotein cholesterol; Non-
HDL-c, non–HDL cholesterol; QUICKI, quantitative insulin sensitivity check index;
TG, triglycerides.
* Chi-square test. Significant association (p < 0.05).
*# Fisher exact test. Significant association (p < 0.05).
An analysis of the isolated parameters showed that 22.89% of the patients presented
at least three diagnostic criteria for MS. And the X2 test showed a statistically significant association between those cases and all the
IR diagnostic methods with p = 0.0005 for fasting insulin, p = 0.0070 for the G/I, p = 0.0021 for the HOMA-IR, and p = 0.0004 for the QUICKI.
Discussion
Polycystic ovary syndrome is one of the most common endocrine pathologies of women
of bearing-age. Although its prevalence could be even higher when the Rotterdam diagnostic
criteria[5] are followed, a large percentage of the cases might not be diagnosed at the primary
health service level.[1]
[15] Also, these patients might not receive due attention from the metabolic and cardiovascular
points of view, because their management tends to focus on their aesthetic and reproductive
problems.[1]
Although its physiopathology is not quite understood, there is no doubt that IR plays
an important role, since it leads to compensatory hyperinsulinemia with complex effects
on the regulation of lipid metabolism, protein synthesis and modulation of androgen
production,[16] whose mechanism results from a defect in the insulin receptor characterized by increased
serine phosphorylation.[3]
Nevertheless, the prevalence of IR has been an object of discussion. In our study,
IR was found in 51.81–66.27% of the patients, depending on the diagnostic method employed,
but it has been diagnosed in 50–80% of PCOS patients.[1]
[12]
[16] Such great variability may result from the diagnostic criteria used in PCOS, different
PCOS phenotypes, ethnic differences in insulin action, or even environmental factors
such as diet, as well as the method used to identify IR.[3]
Because the complexity and cost of the hyperinsulinemic-euglycemic clamp for IR diagnosis
make its use impractical for routine use in clinical practice,[3] other measures have been employed, such as HOMA-IR, QUICKI and the G/I,[3]
[12] which appear effective in diagnosing IR.[12] However, despite the statement that the HOMA-IR and QUICKI would be more sensitive
in detecting IR,[12] we have not observed a statistically significant difference among the four methods
used in our study.
Insulin resistance may be found in PCOS patients with normal weight, but its frequency
and magnitude increase in the presence of obesity.[1]
[2]
[17] The average frequency of IR was 20.31% among normal weight patients, 50% among overweight
patients and 76.59% among obese patients in our study. We also observed a significantly
higher proportion of IR among the obese patients when compared with normal weight
patients. These findings are similar to those of Reyes-Muñoz et al[18] using HOMA. In addition, Moran et al[17] observed a strong positive correlation between the magnitude of IR, measured using
the G/I, and the women's BMI.
Obesity is an independent risk factor of developing CD and it has been suggested that,
independently from the BMI, PCOS women tend to accumulate fat in the visceral abdominal
region, which confers them a metabolic risk.[1]
In our study, there was a statistically significant association between both anthropometric
factors— BMI and WC— and all the IR diagnostic methods. An extensive review published
recently[19] observed that the greatest health implications for PCOS patients are associated
with excess weight and abdominal circumference, since visceral abdominal fat is associated
with increasing IR.[19]
It has been observed that IR could promote CD directly and/or, indirectly, through
changes in fibrinolysis, compromising lipolysis suppression and inducing arterial
hypertension (AH).[4]
A Swedish study found that, even in the absence of a true hypertensive state, PCOS
women had higher average blood pressure than the controls, even after adjusting for
the BMI and body fat distribution[20] and a Brazilian study observed the prevalence of AH two times higher in PCOS women
than in non-PCOS women.[21] In our study, we observed a statistically significant association between AH and
IR with three of the four diagnostic methods employed.
It has also been suggested that IR could contribute to the dyslipidemia frequently
observed in PCOS patients through various mechanisms. While Slowińska-Srzednicka et
al[22] observed a positive correlation between total triglycerides and fasting insulin
and a negative correlation between apolipoprotein A-I and fasting insulin in PCOS
women, our study showed a significant association between the triglyceride levels
and IR diagnosed using the QUICKI and the fasting blood insulin level. Furthermore,
the frequent finding of high non-HDL-c in PCOS patients, seen in 53.01% of the cases
in our study, also reflects another cardiovascular risk factor in these women.[19]
Although dyslipidemia can occur independently of obesity,[23] BMI is believed to be the main determining factor for high triglyceride levels and
reduced HDL levels, frequently found in PCOS.[24]
However, the LDL-c in PCOS seems less dependent on body weight and could be partially
related to the hyperandrogenism frequently observed in these women.[1]
[19] In our study, 73.49% of the patients showed hirsutism and in 18.29% of them total
plasma testosterone exceeded 80 ng/dL. Nevertheless, although the high LDL-c levels
could be associated with hyperandrogenism, it is not clear whether there is a causal
relation between them.[1] Furthermore, the androgens could also contribute to IR by means of a direct effect
on skeletal muscle and action on adipose tissue.[3]
It has also been reported that the menstrual pattern of these patients could contribute
to the IR finding. Brower et al[25] observed that, in PCOS women, when the menstrual cycle exceeded 35 days, HOMA-IR
levels were higher than those of the controls or of PCOS women with regular cycles.
In our study, 55.43% of the patients showed such menstrual cycle pattern and 40.96%
were amenorrheic. Acanthosis nigricans, observed in 48.19% of the patients, cannot
be forgotten, since a substantial percentage of PCOS patients suffer from this condition
and its severity correlates with the degree of IR.[26]
Besides that, the metabolic abnormalities in PCOS patients can coincide with the diagnostic
components of the MS,[9] in which IR and compensatory hyperinsulinemia also play a crucial role in the physiopathology
of the MS.[27] Nevertheless, the prevalence of this syndrome can vary depending on the ethnicity,
age, BMI, country, as well as the criteria used in defining both PCOS and the MS.[28] Despite having excluded the analysis the patients' charts with fasting glucose higher
than 100 mg/dL, 22.89% of the patients in our study had at least three parameters
altered the normalcy standards, which would comply with the MS diagnostic criteria,[9] reinforcing the higher cardiovascular risk in PCOS women.
In addition, we observed a statistically significant association between all the indirect
methods of diagnosing IR and the presence of at least three diagnostic parameters
for MS. The most prevalent association involved high WC (68.67%) and low HDL (50%).
These findings are similar to those of Madani et al,[28] who also observed a higher prevalence of those two criteria, although decreased
HDL was the most frequently observed alteration in their study.
The LAP index, combining the WC measurement and the triglyceride levels, was initially
tested in 2005. The results suggested that it could become a predictor of CD incidence.[10]
The LAP has been shown to be more accurate than HOMA-IR in the diagnosis of IR.[29] While Macut et al[30] observed an association between HOMA-IR and LAP, we observed a statistically significant
association between LAP and all the methods of diagnosing IR. So that LAP could be
an indicator of IR and other possible comorbidities related to this metabolic disorder,
including CD in PCOS patients, in agreement with the previously observed findings.[11] Nascimento et al[31] corroborated this statement in a study of PCOS patients in which the researchers
found an association between LAP and various cardiovascular risk parameters.
Some limitations in our study should be mentioned, particularly concerning the diagnosis
of PCOS and MS. In regard to MS, we used internationally accepted criteria,[9] and although we did not use the five classic measures for MS diagnosis, since fasting
blood glucose level was excluded from the statistical analysis, we did use the other
four to demonstrate the important metabolic disorders occurring in these patients
and the significant association with IR.
Although the new PCOS guidelines suggest modifications in one of the diagnostic criteria
by increasing the number of follicles to 25 because of new technologies for ultrasonography
examination, the ovary size was not influenced by this innovation and 10 cm3 is still the cut-off point between a normal and an increased ovary.[32] Thus, we based our diagnoses on the size of the ovary alone, rather than in the
number of follicles. In addition, the guidelines of the Endocrine Society issued in
2013 suggested the use of the Rotterdam criteria for the diagnosis of PCOS.[33]
The gold standard in the diagnosis of IR is the hyperinsulinemic-euglycemic clamp.
Nevertheless, this method is too expensive and elaborate for use in clinical practice.
The diagnosis was established using four indirect methods, and it has been shown the
mathematical methods, such as HOMA-IR and QUICKI, have a good correlation with the
clamp.[12]
[34] Furthermore, they are sensitive enough to detect IR in PCOS.[12] In addition, no statistical differences were found among the four methods, which
could facilitate the initial identification of the patients suffering from IR at the
primary health care level. Thus, more complex calculations would be avoided, and the
patients referred to other specific clinical evaluations much sooner.
It is also important to mention that this study evaluated an institutional rather
than a population-based sample, so the real prevalence of IR and cardiovascular risk
factors in PCOS women could not be determined. Also, even though we have observed
various associations between IR and these factors, like others in the literature,[11]
[18]
[28]
[30] the cross-sectional design cannot infer causal relationships between IR, obesity,
dyslipidemia and PCOS.
Another limitation, albeit unrelated to the study per se, results from the possible
repercussions of the findings. The average age of the patients was 28.79 years, similarly
to that of other studies in the literature.[15]
[28]
[30]
[31] It could be assumed, therefore, that the existence of high metabolic risk in the
young PCOS patients could predispose them to CD as they grow older.[19]
However, the actual incidence of CD and mortality is still under dispute. While a
21-year follow-up study of a cohort of Swedish PCOS patients did not find increased
myocardial infarct, stroke or mortality, despite the higher prevalence of AH and dyslipidemia
in these women,[35] a prospective Iranian study with a 12-year follow-up of PCOS patients and controls
did not find any significant difference in the cardiac-metabolic risk factors between
the two groups.[4] Besides that, it was also found that the difference in insulin levels and IR, initially
higher in the PCOS group, diminished along time.[4] Nevertheless, a recent meta-analysis observed a significant association between
PCOS and coronary heart disease, although no association was found between PCOS and
myocardial infarction.[36]
It is possible that the heterogeneous nature of the PCOS, the lack of knowledge about
its physiopathology and the existence of exogenous factors and other confounding elements,
such as obesity, make it difficult to evaluate with any degree of precision the extension
of the long-term complications of the syndrome.[19] In addition, changes in metabolic regulation and ovarian function could also modify
the expression of the disease and act over its morbidity.[19]
Nevertheless, despite the controversies about the future of these patients, we cannot
ignore the findings of our study: a series of independent and associated factors of
cardiovascular risk, such as the existence of IR and its significant association with
WC, BMI, LAP, as well as dyslipidemia and AH in a high proportion of patients.
Early detection of those metabolic and cardiovascular risk factors by the primary
health care services through the use of simple measures, such as the anthropometric
evaluation of the patients and LAP, would lead to appropriate counseling regarding
the patients' lifestyle or to the prescription of medications that could improve their
quality of life and reduce the risk of PCOS' long term complications, which increase
considerably the costs of the health care provided.
