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Clinical and endocrine characteristics of the main polycystic ovary syndrome phenotypes
Abstract
OBJECTIVE:
To evaluate the clinical and endocrine differences between main polycystic ovary syndrome (PCOS) phenotypes.
DESIGN:
To evaluate clinical and hormone parameters in a large group of consecutive women with PCOS diagnosed according Rotterdam criteria and divided according their phenotype.
SETTING:
University department of medicine.
PATIENT(S):
Three hundred eighty-two consecutive women with PCOS and 85 ovulatory controls.
INTERVENTION(S):
Evaluation of clinical and hormone parameters.
MAIN OUTCOME MEASURE(S):
Blood levels of gonadotropins, testosterone, sex-hormone-binding globulin, dehydroepiandrosterone sulfate, 17α-hydroxyprogesterone, progesterone, glucose, and insulin, and calculation of the free androgen index and insulin sensitivity.
RESULT(S):
The severe PCOS phenotype (hyperandrogenism, chronic anovulation, and polycystic ovaries: type I classic PCOS) was the most common phenotype in 53.9% of the patients. The phenotype of 8.9% of patients was characterized by hyperandrogenism and chronic anovulation but normal ovaries (type II classic PCOS). The two phenotypes of classic PCOS had similar clinical and endocrine characteristics, but the patients with polycystic ovaries had a higher luteinizing hormone/follicle-stimulating hormone (LH/FSH) ratio. Ovulatory PCOS was relatively common (28.8% of PCOS patients) and presented milder clinical and endocrine alterations than the classic PCOS phenotypes. The normoandrogenic phenotype was relatively uncommon. These patients had a normal body mass index, insulin sensitivity, and free androgen index but showed increased levels of LH and LH/FSH ratio.
CONCLUSION(S):
Ovulatory PCOS represents the mild form of classic PCOS, but the normoandrogenic phenotype, although part of the spectrum, may represent a different disorder or have a different pathogenetic pathway.
Copyright © 2010 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved
Extensive clinical experience: relative prevalence of different androgen excess disorders in 950 women referred because of clinical hyperandrogenism.
CONTEXT:
We undertook this study to estimate the prevalence of the various androgen excess disorders using the new criteria suggested for the diagnosis of polycystic ovary syndrome (PCOS).
SETTING:
The study was performed at two endocrine departments at the University of Palermo (Palermo, Italy).
PATIENTS:
The records of all patients referred between 1980 and 2004 for evaluation of clinical hyperandrogenism were reevaluated. All past diagnoses were reviewed using the actual diagnostic criteria. To be included in this study, the records of the patients had to present the following available data: clinical evaluation of hyperandrogenism, body weight and height, testosterone (T), free T, dehydroepiandrosterone sulfate, 17-hydroxyprogesterone, progesterone, and pelvic sonography. A total of 1226 consecutive patients were seen during the study period, but only the scores of 950 patients satisfied all criteria and were reassessed for the diagnosis.
RESULTS:
The prevalence of androgen excess disorders was: PCOS, 72.1% (classic anovulatory patients, 56.6%; mild ovulatory patients, 15.5%), idiopathic hyperandrogenism, 15.8%; idiopathic hirsutism, 7.6%; 21-hydroxylase-deficient nonclassic adrenal hyperplasia, 4.3%; and androgen-secreting tumors, 0.2%. Compared with other androgen excess disorders, patients with PCOS had increased body weight whereas nonclassic adrenal hyperplasia patients were younger and more hirsute and had higher serum levels of T, free T, and 17-hydroxyprogesterone.
CONCLUSIONS:
Classic PCOS is the most common androgen excess disorder. However, mild androgen excess disorders (ovulatory PCOS and idiopathic hyperandrogenism) are also common and, in an endocrine setting, include about 30% of patients with clinical hyperandrogenis
Correlates of increased lean muscle mass in women with polycystic ovary syndrome
Abstract
OBJECTIVE:
Muscle mass plays an important role in determining cardiovascular and metabolic risks in polycystic ovary syndrome (PCOS). In addition, whether lean mass influences carotid intima-media thickness (IMT) in PCOS has not been assessed.
DESIGN:
Prospective investigation.
METHODS:
Ninety-five women with PCOS were age- and weight-matched to 90 ovulatory controls. All women had dual X-ray absorptiometry for lean, fat and bone mass, and bone mass density (BMD). Serum testosterone, sex hormone-binding globulin, insulin, and glucose and carotid IMT were determined. Free androgen index (FAI) and insulin resistance (by QUICKI) were calculated.
RESULTS:
In PCOS, waist circumference and insulin were higher and QUICKI lower than in controls (P or = 0.9 mm) values. Lean mass correlated with fat parameters, insulin, QUICKI, and FAI, but not with total testosterone; and after adjustments for insulin and QUICKI, lean mass still correlated with fat mass (P<0.01) but not FAI. Lean mass correlated with IMT (P<0.01), but this was dependent on insulin. However, excluding those patients with abnormal IMT values, IMT correlated with lean mass independently of insulin. Bone mass correlated with lean and fat mass, but not with insulin or androgen. PCOS patients with 'pathological' IMT values had higher % trunk fat, lean mass, and insulin, lower QUICKI, and higher testosterone and FAI compared with those with normal IMT.
CONCLUSION:
Lean mass is increased in PCOS, while bone mass is similar to that of matched controls. The major correlates of lean mass are fat mass and insulin but not androgen. Lean mass also correlated with IMT, and although influenced by insulin, small changes in IMT may partially reflect changes in muscle mass, while clearly abnormal values relate to more severe abnormalities of PCOS
Elevated levels of non-HDL-cholesterol are relatively uncommon in women with PCOS and generally reflect LDL-cholesterol levels.
Metabolic syndrome in polycystic ovary syndrome (PCOS): lower prevalence in Southern Italy than in USA and the influence of criteria for the diagnosis of PCOS
OBJECTIVE:
Metabolic syndrome (MBS) is a common disorder and is thought to be extremely prevalent in polycystic ovary syndrome (PCOS). In the USA the prevalence of MBS in PCOS has been reported to be as high as 43-46% using Adult Treatment Panel III (ATP-III) criteria. Because of differences in diet, lifestyle and genetic factors, we postulated that the prevalence of MBS might not be as high in Italian women. This study sought to determine the prevalence of MBS in Italian women using both the ATP-III and the World Health Organization (WHO) criteria and to determine whether the prevalence is influenced by the way in which PCOS is diagnosed.
DESIGN:
Assessment of the prevalence of MBS in 282 women with PCOS, aged 18-40 years, living in western Sicily. Eighty-five age- and weight-matched normal women served as controls.
METHODS:
Patients were divided into those with chronic anovulation and hyperandrogenism (classic PCOS; n = 225) and others with hyperandrogenism and polycystic ovaries but who were ovulatory (ovulatory PCOS; n = 57). A 75 g oral glucose tolerance test was carried out, as were lipid determinations; insulin resistance was assessed by the Quantitative Insulin-Sensitivity Check Index (QUICKI). We used ATP-III and WHO criteria to diagnose MBS.
RESULTS:
Using ATP-III criteria, the prevalence of MBS was 8.2% and using WHO criteria it was 16% in Italian women with PCOS. In controls, the prevalence was 2.4% using both methods. In classic PCOS patients, MBS was higher (8.9% by ATP-III, 17.3% by WHO) than in ovulatory PCOS (5% and 10.6% respectively). Body weight significantly modified prevalence rates.
CONCLUSION:
MBS is substantially higher in women with PCOS than in the general population, and the prevalence is higher in those women diagnosed by classic criteria. However, the prevalence of MBS in PCOS appears to be much lower in Italy than in the USA
PHENOTYPIC VARIATION IN HYPERANDROGENIC WOMEN INFLUENCES THE FINDINGS OF ABNORMAL METABOLIC AND CARDIOVASCULAR RISK PARAMETERS.
In hyperandrogenic women, several phenotypes may be observed. This includes women with classic polycystic ovary syndrome (C-PCOS), those with ovulatory (OV) PCOS, and women with idiopathic hyperandrogenism (IHA), which occurs in women with normal ovaries. Where other causes have been excluded, we categorized 290 hyperandrogenic women who were seen consecutively for this complaint between 1993 and 2004 into these three subgroups. The aim was to compare the prevalence of obesity, insulin resistance, and dyslipidemia as well as increases in C-reactive protein and homocysteine in these different phenotypes with age-matched ovulatory controls of normal weight (n = 85) and others matched for body mass index (BMI) with women with C-PCOS (n = 42). Although BMI affected fasting serum insulin and the Quantitative Insulin-Sensitivity Check Index, these markers of insulin resistance were greatest in C-PCOS (n = 204), followed by OV-PCOS (n = 50) and then IHA (n = 33). Androgen levels were similar in OV-PCOS and IHA but were higher in C-PCOS, whereas gonadotropins were similar in all groups. Lipid abnormalities were highest in C-PCOS and OV-PCOS and were normal in IHA. C-reactive protein was elevated in C-PCOS and OV-PCOS but not IHA. Homocysteine was elevated only in C-PCOS. Overall, the prevalence of obesity (BMI > 30) was 29% in C-PCOS, 8% in OV-PCOS, and 15% in IHA and insulin resistance (Quantitative Insulin-Sensitivity Check Index < 0.33) was 68% in C-PCOS, 36% in OV-PCOS, and 26% in IHA. The prevalence of having at least one elevated cardiovascular risk marker was 45% in C-PCOS 38% in OV-PCOS and was not increased on IHA (6%). These results suggest that among hyperandrogenic women the prevalence of abnormal metabolic and cardiovascular risk parameters is greatest in C-PCOS, followed by OV-PCOS and then women with IHA. Moreover, in that in OV-PCOS and IHA, ages and weights were similar yet the prevalence of metabolic and cardiovascular risk was greater in OV-PCOS, the finding of polycystic ovaries may be a significant modifying factor
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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