| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
Division of Research (J.C.L., J.Y., A.R.P., J.V.S., A.S.G.), Kaiser Permanente of Northern California, Oakland, California 94612; Division of Endocrinology, Department of Medicine (J.C.L.); and Department of Obstetrics, Gynecology and Reproductive Sciences (S.L.F.), Departments of Epidemiology, Biostatistics, and Medicine (A.S.G.), University of California at San Francisco, San Francisco, California 94143; and Division of Reproductive Endocrinology and Infertility (S.L.F.), Kaiser Permanente Medical Center, San Francisco, California 94115
Address all correspondence and requests for reprints to: Joan C. Lo, M.D., Division of Research, Kaiser Permanente of Northern California, 2000 Broadway Street, 2nd Floor, Oakland, California 94612-2304. E-mail: Joan.C.Lo{at}kp.org.
 |
Abstract |
|---|
 Top Abstract IntroductionSubjects and MethodsResultsDiscussionReferences |
|---|
Objective: The objective of this study was to determine the prevalence of diagnosed PCOS and its association with cardiovascular risk factors.
Setting: The study is set in an integrated health care delivery system in northern California.
Patients: A total of 11,035 women with PCOS were identified by one or more outpatient diagnoses of PCOS using health plan databases. An age-matched sample of women without PCOS was also selected.
Outcome Measures: Prevalence of PCOS and targeted cardiovascular risk factors [hypertension, dyslipidemia, diabetes mellitus, and body mass index (BMI)] were measured.
Results: During 2002–2004, the prevalence of diagnosed PCOS among female members aged 25–34 yr was 2.6% (95% confidence interval 1.6–1.7%). Women with diagnosed PCOS were more likely than those without PCOS to be obese [BMI 
30 mg/m2; odds ratio (OR) 4.21, 3.96–4.47]. Furthermore, PCOS was associated with diabetes (OR 2.45, confidence interval 2.16–2.79), hypertension (OR 1.41, 1.31–1.51) and known dyslipidemia (OR 1.53, 1.39–1.68), even after adjusting for BMI and known confounders. Among women with PCOS, compared with whites, Blacks and Hispanics were more likely and Asians less likely to be obese; Asians and Hispanics were more likely to have diabetes; and Blacks were more likely and Hispanics less likely to have hypertension.
Conclusions: Within a large, community-based population receiving health care, diagnosed PCOS was highly prevalent and associated with a much higher frequency of cardiovascular risk factors that varied by race/ethnicity. Our prevalence estimates likely underestimate the true prevalence of PCOS. Further studies are needed to explore racial/ethnic differences and the extent to which PCOS contributes to future cardiovascular risk.
|
Introduction |
|---|
|
TopAbstractIntroductionSubjects and MethodsResultsDiscussionReferences |
|---|
In addition to reproductive and hyperandrogenic concerns, PCOS is also associated with a number of metabolic perturbations that ultimately may contribute to an excess risk for cardiovascular events. Women with PCOS are more likely to be insulin resistant, overweight, and obese, and several studies have demonstrated that PCOS is associated with an increased risk of glucose intolerance and type 2 diabetes mellitus, independent of body mass index (BMI) (7, 8, 9, 10). PCOS has also been associated with an increased prevalence of lipid-related abnormalities, including reduced high-density lipoprotein (HDL) cholesterol and increased low-density lipoprotein (LDL) cholesterol and triglyceride concentrations (11, 12, 13, 14). Finally, a growing body of evidence suggests an association between PCOS and hypertension and markers of subclinical atherosclerosis and vascular dysfunction (12, 14, 15, 16, 17, 18).
Previous studies have focused primarily on selected cohorts of women with PCOS or randomly screened samples of Caucasian, Black, and Mediterranean women in Europe and the Southeastern United States. Our study contributes to existing findings by describing the prevalence and associated metabolic features of clinically diagnosed PCOS within a large, diverse, community-based population of reproductive age women receiving health care in northern California. We first identified women with diagnosed PCOS and determined recent age-specific prevalence and associated clinical characteristics. Second, we examined the prevalence of selected cardiovascular risk factors, including hypertension, dyslipidemia, diabetes, and obesity among women diagnosed with PCOS compared with age-matched controls. Finally, we assessed whether clinical findings varied by racial/ethnic group among the women with PCOS.
|
Subjects and Methods |
|---|
|
TopAbstractIntroductionSubjects and MethodsResultsDiscussionReferences |
|---|
We identified all female health plan members who received ambulatory care within Kaiser Permanente of Northern California, a large, integrated healthcare delivery system that provides comprehensive medical care for more than 35% of ensured adults in the San Francisco and greater Bay area. The Kaiser Permanente of Northern California membership of approximately 3.2 million members covers a 14-county region in northern California; has been shown to have substantial racial, ethnic, and gender diversity; and is highly representative of the surrounding local and statewide population, except for slightly lower representation of the extremes of age and annual household income (19). The Kaiser Foundation Research Institute’s institutional review board approved the study.
Identification of PCOS
We used an automated health plan ambulatory visit database to identify all women who received one or more outpatient clinic diagnoses of PCOS [International Classification of Diseases, Ninth Revision (ICD-9) code 256.4] between January 1, 1994 and December 31, 2004. Individuals with diagnosed PCOS who were younger than 15 yr old at the index date (defined as the date of the first identified PCOS diagnosis during the study period) were excluded because of the concern for possible overlap with other conditions associated with androgen excess (e.g. congenital adrenal hyperplasia). Women initially diagnosed at age 45 yr or older were excluded to avoid potential overlap of the index date with menopause transition. Women were also excluded if they had evidence of the following conditions identified using diagnoses from health plan ambulatory visit databases: congenital adrenal hyperplasia, Cushing’s syndrome, adrenal cancer, ovarian tumor or cancer, pituitary tumor (except for nonsecreting pituitary adenoma), prolactinoma, or hyperprolactinemia (if the highest documented prolactin level was more than 60 ng/dl in laboratory databases).
Supporting features of the PCOS diagnosis
Supportive data for the PCOS diagnosis as well as the number of temporally separate diagnoses of PCOS after the index date were collected from outpatient records and laboratory databases during the study period. We classified women with diagnosed PCOS based on additional supportive outpatient diagnoses they received during the study period using the following diagnostic categories: hyperandrogenism, anovulation, infertility, menstrual irregularity, dysfunctional uterine bleeding, insulin resistance, and acanthosis nigricans. Hyperandrogenism was defined by a diagnosis of hirsutism, hyperandrogenism, acne at more than 21 yr of age, or laboratory evidence of hyperandrogenemia as determined by the reference ranges for the assays used (total testosterone >80 ng/dl, free testosterone >8 pg/ml, or androstenedione >280 ng/dl). Anovulation was defined by a diagnosis of oligomenorrhea, amenorrhea, or ovulatory dysfunction.
Control subjects
For analyses pertaining to prevalence of cardiovascular risk factors, we obtained relevant data from identified PCOS women who were also health plan members at any point between January 1, 2002 and December 31, 2004 and compared them with a control group of female members without diagnosed PCOS who were selected in a 1:5 case to control ratio to match on the 5-yr age distribution of the PCOS women. Control group members were also required to have evidence of active health plan membership any time between January 1, 2002 and December 31, 2004, and at least one ambulatory visit during the year corresponding to the matching index PCOS diagnosis date.
Patient characteristics and cardiovascular risk factors
We obtained information on self-reported race/ethnicity using multiple Kaiser health plan databases; however, race/ethnicity data were not uniformly collected on all members and were available for 65% of each group. To identify cardiovascular risk factors, we defined the presence of diabetes mellitus based on having two or more outpatient diagnoses or a principal hospital discharge diagnosis using data from a validated longitudinal health plan diabetes registry (20). We defined hypertension as having two or more outpatient diagnoses of hypertension (ICD-9 codes 401–405), hypertension identified from the outpatient significant health problem list, or one outpatient diagnosis plus a filled prescription for an anti-hypertensive drug from the outpatient pharmacy database of the health plan (21). Diagnosed or known dyslipidemia was based on the presence of one or more outpatient diagnoses (ICD-9 codes 272.0, 272.2, 272.4), filled prescriptions for lipid-lowering therapies in an outpatient pharmacy database, and/or serum LDL cholesterol of 160 mg/dl (4.14 mmol/liter) or higher identified from outpatient laboratory databases, consistent with the National Cholesterol Education Program Adult Treatment Panel III guidelines (22). We separately identified individuals who had a measured triglyceride level greater than 200 mg/dl (2.26 mmol/liter) and those with an HDL cholesterol level less than 40 mg/dl (1.04 mmol/liter). Finally, we identified the presence of diagnosed coronary heart disease, ischemic stroke, or transient ischemic attack, and peripheral arterial disease using previously validated methods involving ICD-9 and Current Procedure Terminology (CPT) codes for diagnoses and relevant procedures found in ambulatory visit, hospital discharge, and billing claims databases (21). These characteristics were identified for PCOS and non-PCOS cohort members during the entire period between January 1, 1994 and December 31, 2004. However, it should be noted that because patients present to various clinics for a variety of reasons, not every patient had every test.
We evaluated cigarette smoking status (current or former smoker), BMI (kilograms per square meter), and systolic and diastolic blood pressure obtained at routine outpatient visits between January 1, 2002 and December 31, 2004. Based on the highest BMI recorded in the ambulatory visit database during this period, these women were classified as either normal or below normal (<25 kg/m2), overweight (25–29 kg/m2), or obese (30 kg/m2) (23). Because measurement of BMI was gradually implemented in clinics starting in August 2002, these data were only available in 56.4% of PCOS and 48.3% of non-PCOS women. Thus, we calculated the proportion of women in each BMI category among the subset of PCOS or non-PCOS women who had a BMI measured. Finally, among those without diagnosed hypertension, we determined the proportion of patients whose highest outpatient blood pressure measurement (ascertained in over 90% of women in both groups) met the 7th Report of the Joint National Committee (JNC 7) criteria of systolic blood pressure greater than or equal to 140 mm Hg and/or diastolic blood pressure greater than or equal to 90 mm Hg (24) on two separate outpatient dates.
Statistical approach
The period prevalence of PCOS from January 1, 2002 through December 31, 2004 was estimated using identified PCOS cases who were health plan members and average age-eligible yearly membership files for female members. Point estimates and associated 95% confidence intervals (CI) for the period prevalence of PCOS were calculated overall and stratified by 5-yr age categories based on age at July 1, 2003. We also calculated the period prevalence of all female Kaiser health plan members aged 25–34 yr old who received a diagnosis of hyperandrogenism, hirsutism, oligo/amenorrhea, and/or ovulatory dysfunction during 2002–2004, in the absence of a PCOS diagnosis, to estimate the broader current prevalence of women with PCOS-like symptoms.
The clinical characteristics of women with and without diagnosed PCOS were compared using 
2 test for categorical variables and Student’s t test for continuous variables. Point estimates with 95% CI were calculated for prevalence data. We examined the independent association between PCOS and each of three cardiovascular risk factors (diabetes, hypertension, and dyslipidemia) in the subgroup of women with measured BMI using separate logistic regression models with PCOS as the primary predictor variable. We also examined whether the relation between PCOS and these vascular risk factors varied by racial/ethnic group using stratified multivariable analyses. Finally, among women with diagnosed PCOS, we examined the association between race/ethnicity and the prevalence of hypertension, diabetes, dyslipidemia, and elevated BMI. All analyses were conducted using SAS statistical software version 9.0 (Cary, NC). A two-sided P value less than 0.05 was considered statistically significant.
|
Results |
|---|
|
TopAbstractIntroductionSubjects and MethodsResultsDiscussionReferences |
|---|
We initially identified 12,916 women with at least one outpatient diagnosis of PCOS between 1994–2004 who were aged 15–44 yr at the time of the first identified PCOS diagnosis (index date). After excluding 182 women who met exclusion criteria, the final PCOS cohort included 12,734 women who received at least one outpatient diagnosis of PCOS. In the PCOS cohort, 11,679 (92%) received at least one other additional diagnosis supportive of PCOS during the study period. These 11,679 women included 3,643 (31.2%) women with diagnoses indicative of both clinical hyperandrogenism and anovulation, and an additional 6,724 (57.6%) with diagnoses of either hyperandrogenism or anovulation. The remaining 1312 (11.2%) women had diagnoses of infertility, menstrual irregularity, acanthosis nigricans, or insulin resistance. A total of 6999 (55%) received two or more separate outpatient diagnoses of PCOS.
Period prevalence of PCOS and PCOS-related symptomatology
The estimated period prevalence of diagnosed PCOS during 2002–2004 among female members aged 20–39 yr was 2.2% (95% CI 2.1–2.2%), and was as high as 2.7% (2.6–2.8%) and 2.6% (2.5–2.7%) among women aged 25–29 and 30–34 yr, respectively (Fig. 1
). Of note, we identified an additional 10,498 women aged 25–34 yr who received an outpatient diagnosis of either hyperandrogenism (n = 10), hirsutism (n = 738), oligomenorrhea or amenorrhea (n = 7,945), or ovulatory dysfunction (n = 2,558) during 2002–2004 but did not have a current or prior diagnosis of PCOS or an exclusionary diagnosis (e.g. ovarian tumor, Cushing’s syndrome, congenital adrenal hyperplasia, pituitary tumor, or significant hyperprolactinemia). This higher prevalence (5.1%) of PCOS-related symptomatology in women without a specific diagnosis of PCOS suggests that our PCOS prevalence estimate of 2.2% is likely to be conservative.
|
The clinical characteristics of age-matched women with and without diagnosed PCOS are shown in Table 1. There was a slightly higher proportion of whites and Hispanics and a smaller proportion of Blacks in women with diagnosed PCOS. Among the subset of women with measured BMI (49.6% of sample), women with PCOS were substantially more likely to be obese than age-matched controls (67.0 vs. 31.4%, P < 0.001). Similarly, women with PCOS were more likely than those without PCOS to have received a diagnosis of obesity or morbid obesity during the entire study period (53.1 vs. 15.7%, P < 0.001).
|
), women with PCOS were substantially more likely than non-PCOS women to have diagnosed diabetes mellitus or known hypertension. Among the subgroup of women without diagnosed hypertension, those subjects with PCOS were more likely to have elevated blood pressure (systolic 140 or greater and/or diastolic 90 mm Hg or greater on two separate occasions) compared with control subjects. Diagnosed dyslipidemia, low HDL cholesterol, and elevated triglyceride level were also more prevalent in PCOS vs. non-PCOS women. Documented current or former cigarette smoking was similar in both groups. Known cardiovascular disease was rare overall and did not significantly differ between groups. We additionally investigated the independent association of PCOS and targeted cardiovascular risk factors in the subgroup of PCOS (n = 6,220) and no PCOS (n = 26,622) women who had measured BMI. Women with PCOS had 4-fold increased odds of being obese or morbidly obese as defined by BMI 30 kg/m2 or greater [odds ratio (OR) 4.21, 95% CI 3.96–4.47, adjusted for age and diabetes status]. We also noted a much higher prevalence of diabetes (15.1 vs. 3.1%, P < 0.001) and diagnosed hypertension and/or elevated blood pressure (43.1% vs. 12.4%, P < 0.001) among obese vs. nonobese PCOS women, likely driven by the association of obesity and these risk factors. However, women with PCOS remained more likely to have prevalent diabetes mellitus (adjusted OR 2.45, 95% CI 2.16–2.79), diagnosed hypertension or elevated blood pressure (adjusted OR 1.41, 95% CI 1.31–1.51), and known dyslipidemia (adjusted OR 1.53, 95% CI 1.39–1.68) even after adjusting for age, BMI category, and each of the other cardiovascular risk factors (diabetes, hypertension, dyslipidemia). These findings were essentially unchanged when we excluded 4.3% of controls who had diagnoses of oligomenorrhea, amenorrhea, hirsutism, or hyperandrogenism in the absence of PCOS diagnoses. Additional analyses stratified by race/ethnic group showed similar associations between diagnosed PCOS and the other cardiovascular risk factors.
Among the subgroup of women with diagnosed PCOS, we observed several racial/ethnic differences (Table 2). For instance, among those with measured BMI, Asian women had the lowest prevalence of obesity (BMI 30 kg/m2), whereas Blacks and Hispanics had the highest. There was also a slightly higher proportion of individuals with diabetes among Asian and Hispanic women. In multivariable logistic regression analysis that adjusted for BMI category and age, women who were Asian (OR 2.16, 1.63–2.85) or Hispanic (OR 1.33, 1.03–1.71) had an increased odds of having diabetes mellitus, compared with women who were white. The crude prevalence of diagnosed hypertension or elevated blood pressure was lowest among Asians and Hispanics and highest among Blacks, and after adjusting for age, BMI category, and diabetes status, the odds of hypertension and/or high blood pressure remained highest in Blacks (OR 1.32, 1.19–1.48) and lower in Hispanics (OR 0.68, 0.62–0.75) but were not significantly different among Asians (OR 0.98, 0.87–1.09) compared with whites.
|
|
Discussion |
|---|
|
TopAbstractIntroductionSubjects and MethodsResultsDiscussionReferences |
|---|
One of the strengths of our study is the inclusion of a community-based, ethnically diverse population of over one half million reproductive aged women who receive medical care within a large integrated health care delivery system in northern California. As such, these data are likely to be representative of a typical clinical population and reflect the current burden of this disease within health care systems. Many more reproductive age women likely have undiagnosed PCOS, highlighting the clinical and public health importance of this condition.
The Kaiser Permanente Northern California PCOS study is also currently the largest contemporary sample of women with diagnosed PCOS and one of the most ethnically diverse PCOS cohorts, with 18.4% Hispanic, 15.5% Asian/Pacific Islander, and 7.7% Black among those in whom this information was available. We note that in our study, Asian women with PCOS were much less likely to be obese as defined by current WHO criteria; however, there are increasing data that cardiovascular risk may be evident at lower BMI among Asians compared with other white/European populations (25). We also found that women with PCOS who were Asian or Hispanic were more likely to have diabetes mellitus, independent of age and BMI. Furthermore, Black women with PCOS had higher odds of hypertension, and Hispanic women lower odds, compared with white women, even after adjustment for age, BMI, and diabetes status.
Our data also demonstrate that PCOS is independently associated with higher odds of major cardiovascular risk factors such as diabetes, hypertension, dyslipidemia, and obesity. These results support and extend previous studies that observed an association between PCOS and these risk factors that is independent of age and BMI in selected populations (8, 11, 12, 14, 15). Furthermore, we found that the relations between PCOS and cardiovascular risk factors were consistent across racial/ethnic groups. However, although predicted cardiovascular risk is clearly higher among PCOS women, the extent to which PCOS—a disorder which primarily affects women during their reproductive years—impacts on future cardiovascular events during older age remains to be determined. As expected, given the young age of the cohort, clinically diagnosed cardiovascular disease was extremely rare in both PCOS women and controls.
Our study had several limitations. As mentioned earlier, our reliance on physician-assigned ambulatory diagnoses of PCOS among women seeking medical attention likely led to incomplete ascertainment of cases. Certainly fewer women would be classified as having PCOS within the context of clinical care (where routine screening is not performed) in contrast to systematic screening of selected populations to identify both diagnosed and undiagnosed cases. These include, for example, women screened at a preemployment physical in the Southeastern United States (4–6.6%) (3, 4), a community population in Greece (6.8%) (5), and female white blood donors in Spain (6.5%) (6). Nevertheless, our study demonstrates that the prevalence of clinically recognized PCOS remains high in a typical clinical practice setting.
There is also likely variability in PCOS diagnosis and evaluation across time and the type of outpatient medical clinic, especially given the changing consensus on the criteria for PCOS, both nationally and internationally, during the study period (26, 27, 28). Limitations of our electronic databases precluded full validation of cases identified by a single PCOS diagnosis. However, we used a diagnostic strategy that incorporated various data sources to provide support for the PCOS diagnosis, including ascertainment of additional features, when coded as diagnoses, related to PCOS symptomatology. We also note that, whereas supporting diagnoses provide additional evidence for PCOS, absence of specific supporting diagnoses does not necessarily diminish the likelihood of an intended PCOS diagnosis, because only diagnoses, and not necessarily symptoms, were intended for capture in the ambulatory databases. Nevertheless, it is possible that some PCOS women did not have components of both hyperandrogenism and anovulation (e.g. nonandrogenic disorder). Systemic imaging or surgical data relating to ovarian morphology were also not available in our study. It is unlikely that PCOS diagnoses were made solely based on ovarian morphology because ultrasound screening for PCOS is not generally advocated nor routinely performed within our health plan. Overestimation of PCOS prevalence is possible because ascertainment was based on a diagnosis and not specific diagnostic criteria. However, improved physician identification of PCOS would likely have increased the overall reported prevalence of PCOS, because there are probably many more unrecognized cases of PCOS than cases of overdiagnosed PCOS, and also magnify the results we observed.
We also lacked complete data on selected demographic and clinical characteristics, including race/ethnicity, BMI, and serum lipid and lipoprotein levels. For the latter, although misclassification may have occurred for some triglyceride levels obtained in the nonfasting state, fasting is not required for accurate HDL cholesterol measurement, and the prevalence of HDL less than 40 mg/dl (1.04 mmol/liter) was much higher in PCOS compared with non-PCOS women overall and among women who were tested.
In conclusion, we found that PCOS affects at least one in 38 women between ages 25–34 yr old within a large, diverse community-based ensured population, with an additional one in 20 women in this age group manifesting PCOS-related symptomatology (e.g. oligomenorrhea and hirsutism). The rise in prevalence of PCOS in young adulthood achieving peak levels in the 25- to 34-yr age groups followed by tapering off in the older age groups is likely a consequence of several factors. There has been increased awareness of PCOS and its recognition in the last 5–10 yr, and by default, increased recognition of PCOS among younger women during initial presentation. Women in the 25- to 34-yr age group are more educated, in their peak reproductive years, and more likely to seek clinical attention for symptoms of androgen excess, menstrual dysfunction, or infertility. Likewise, new PCOS symptomatology is less likely or may be less concerning to individuals after age 35 yr, resulting in fewer identified PCOS cases among older women. The high prevalence of multiple cardiovascular risk factors among women with PCOS at a relatively young age highlights the public health relevance of this condition. Indeed, PCOS has been described as the female-specific manifestation ("Syndrome XX") of the metabolic syndrome (2), a clustering of metabolic risk factors that has gained increasing attention as an independent predictor of cardiovascular events. Future studies are needed to further delineate the racial/ethnic differences in PCOS-associated clinical features and cardiovascular risk factors and the impact of lifestyle changes or pharmacologic intervention on these factors. Finally, careful longitudinal studies are needed to examine the long-term cardiovascular outcomes and underlying mechanisms in these women and to develop strategies to prevent future cardiovascular events.
|
Acknowledgments |
|---|
|
Footnotes |
|---|
Disclosures: J.Y., A.R.P., J.V.S., and A.S.G. have nothing to declare. J.C.L. has previously received research support from Serono Laboratories. S.L.F. has previously received research support from Ferring Pharmaceuticals, Insmed Inc., and Serono Laboratories.
First Published Online January 24, 2006
Abbreviations: BMI, Body mass index; CI, confidence interval; HDL, high-density lipoprotein; ICD-9, International Classification of Diseases, Ninth Revision; LDL, low-density lipoprotein; OR, odds ratio; PCOS, polycystic ovary syndrome.
Received November 7, 2005.
Accepted January 13, 2006.
|
References |
|---|
|
TopAbstractIntroductionSubjects and MethodsResultsDiscussionReferences |
|---|
This article has been cited by other articles:
 |
|
 |
|
  M. Jensterle, M. Sebestjen, A. Janez, J. Prezelj, T. Kocjan, I. Keber, and M. Pfeifer Improvement of endothelial function with metformin and rosiglitazone treatment in women with polycystic ovary syndrome Eur. J. Endocrinol., October 1, 2008; 159(4): 399 - 406. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
E. Diamanti-Kandarakis, S. Livadas, S. A Kandarakis, A. Margeli, and I. Papassotiriou Serum concentrations of atherogenic proteins neutrophil gelatinase-associated lipocalin and its complex with matrix metalloproteinase-9 are significantly lower in women with polycystic ovary syndrome: hint of a protective mechanism? Eur. J. Endocrinol., April 1, 2008; 158(4): 525 - 531. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 O. Valkenburg, R. P. M. Steegers-Theunissen, H. P. M. Smedts, G. M. Dallinga-Thie, B. C. J. M. Fauser, E. H. Westerveld, and J. S. E. Laven A More Atherogenic Serum Lipoprotein Profile Is Present in Women with Polycystic Ovary Syndrome: A Case-Control Study J. Clin. Endocrinol. Metab., February 1, 2008; 93(2): 470 - 476. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 J. K Devin, J. E Johnson, M. Eren, L. A Gleaves, W. S Bradham, J. R Bloodworth Jr, and D. E Vaughan Transgenic overexpression of plasminogen activator inhibitor-1 promotes the development of polycystic ovarian changes in female mice J. Mol. Endocrinol., July 1, 2007; 39(1): 9 - 16. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
M. Luque-Ramirez, F. Alvarez-Blasco, J. I. Botella-Carretero, E. Martinez-Bermejo, M. A. Lasuncion, and H. F. Escobar-Morreale Comparison of Ethinyl-Estradiol Plus Cyproterone Acetate Versus Metformin Effects on Classic Metabolic Cardiovascular Risk Factors in Women with the Polycystic Ovary Syndrome J. Clin. Endocrinol. Metab., July 1, 2007; 92(7): 2453 - 2461. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 C. Gagnon and J.-P. Baillargeon Suitability of recommended limits for fasting glucose tests in women with polycystic ovary syndrome Can. Med. Assoc. J., March 27, 2007; 176(7): 933 - 938. [Abstract] [Full Text] [PDF]
|
|
|
|
|
|
D. C.W. Lau Screening for diabetes in women with polycystic ovary syndrome Can. Med. Assoc. J., March 27, 2007; 176(7): 951 - 952. [Full Text] [PDF]
|
|
|
|
|
|
B. Banaszewska, L. Pawelczyk, R. Z. Spaczynski, J. Dziura, and A. J. Duleba Effects of Simvastatin and Oral Contraceptive Agent on Polycystic Ovary Syndrome: Prospective, Randomized, Crossover Trial J. Clin. Endocrinol. Metab., February 1, 2007; 92(2): 456 - 461. [Abstract] [Full Text] [PDF]
|
|
|
|
 |
|
 J. C. Lo, S. L. Feigenbaum, G. J. Escobar, J. Yang, Y. M. Crites, and A. Ferrara Increased Prevalence of Gestational Diabetes Mellitus Among Women With Diagnosed Polycystic Ovary Syndrome: A population-based study Diabetes Care, August 1, 2006; 29(8): 1915 - 1917. [Full Text] [PDF]
|
|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
| Endocrinology | Endocrine Reviews | J. Clin. End. & Metab. |
| Molecular Endocrinology | Recent Prog. Horm. Res. | All Endocrine Journals |
