Document Detail

Evaluation of early atherosclerotic findings in women with polycystic ovary syndrome.
Jump to Full Text
MedLine Citation:
PMID:  22024243     Owner:  NLM     Status:  PubMed-not-MEDLINE    
Abstract/OtherAbstract:
BACKGROUND: Polycystic ovary syndrome (PCOS) is the most common endocrinopathy in women of childbearing age, and it seems better to consider it as an ovarian manifestation of metabolic syndrome. The aim of the current study was to evaluate early atherosclerotic findings in patients with PCOS.
METHODS: We enrolled 46 women with PCOS and 45 normal control subjects who were referred to our hospital's endocrinology outpatient clinic. Carotid intima media thickness (CIMT) and flow-mediated dilatation (FMD) were performed in both cases and matched controls.
RESULTS: Patients with PCOS showed an increased mean CIMT (0.63 ± 0.16 mm) when compared with the control subjects (0.33 ± 0.06 mm). This difference was statistically significant (p = 0.001). The mean FMD in young patients with PCOS was 10.07 ± 1.2%, while it was 6.5 ± 2.06% in normal subjects. This difference was also statistically significant (p = 0.001).
CONCLUSION: Our findings suggest that PCOS is related with early atherosclerotic findings.
Authors:
Afshin Mohammadi; Mohammadreza Aghasi; Leila Jodeiry-Farshbaf; Shaker Salary-Lac; Mohammad Ghasemi-Rad
Related Documents :
8671153 - Polycystic ovary syndrome - from gynaecological curiosity to multisystem endocrinopathy.
15218563 - The use of botulinum toxin type a in the treatment of frey and crocodile tears syndromes.
20580653 - Identification of e. dysenterica laxative peptide: a novel strategy in the treatment of...
Publication Detail:
Type:  Journal Article     Date:  2011-10-24
Journal Detail:
Title:  Journal of ovarian research     Volume:  4     ISSN:  1757-2215     ISO Abbreviation:  J Ovarian Res     Publication Date:  2011  
Date Detail:
Created Date:  2011-11-09     Completed Date:  2011-11-10     Revised Date:  2011-11-14    
Medline Journal Info:
Nlm Unique ID:  101474849     Medline TA:  J Ovarian Res     Country:  England    
Other Details:
Languages:  eng     Pagination:  19     Citation Subset:  -    
Affiliation:
Department of Radiology, Urmia University of Medical Sciences, Urmia, Iran. Mohamadi_afshin@yahoo.com.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Full Text
Journal Information
Journal ID (nlm-ta): J Ovarian Res
ISSN: 1757-2215
Publisher: BioMed Central
Article Information
Download PDF
Copyright ©2011 Mohammadi et al; licensee BioMed Central Ltd.
open-access:
Received Day: 30 Month: 9 Year: 2011
Accepted Day: 24 Month: 10 Year: 2011
collection publication date: Year: 2011
Electronic publication date: Day: 24 Month: 10 Year: 2011
Volume: 4First Page: 19 Last Page: 19
ID: 3212885
Publisher Id: 1757-2215-4-19
PubMed Id: 22024243
DOI: 10.1186/1757-2215-4-19

Evaluation of early atherosclerotic findings in women with polycystic ovary syndrome
Afshin Mohammadi1 Email: Mohamadi_afshin@yahoo.com
Mohammadreza Aghasi2 Email: maghacy@yahoo.com
Leila Jodeiry-farshbaf3 Email: ljodeiry@yahoo.com
Shaker Salary-Lac4 Email: ssiac@yahoo.com
Mohammad Ghasemi-rad5 Email: Medman11@gmail.com
1Department of Radiology, Urmia University of Medical Sciences, Urmia, Iran
2Department of Endocrinology, Urmia University of Medical Sciences, Urmia, Iran
3Department of Internal Medicine, Urmia University of Medical Sciences, Urmia, Iran
4Department of public health, Urmia University of Medical Sciences, Urmia, Iran
5Student research committee, Urmia University of Medical Sciences, Urmia, Iran

Background

Polycystic ovary syndrome (PCOS) is the most common endocrinopathy in women of childbearing age, and it seems better to consider it as an ovarian manifestation of metabolic syndrome (MS) [1,2]. MS has already been confirmed as part of the tsunami of cardiovascular risk factors (obesity, lipid abnormalities, impaired glucose tolerance and hypertension) [3]. Insulin resistance is considered as the basic pathophysiological mechanism in MS, and is also a well-recognised presentation of PCOS [4]. However, data regarding endothelial function impairment as an indicator of increased risk of cardiovascular disease in PCOS are still controversial [5,6], with some studies saying that PCOS-induced insulin resistance does not show endothelial dysfunction [7]. The aim of our study was to assess and compare the endothelial function as a predictor of cardiovascular risk by measuring flow-mediated dilatation in young women with PCOS and matched control subjects.


Method

Before the beginning of the study, its protocol was approved by the University Ethics Committee and the Faculty of Medicine. Written informed consent was obtained from each participant. We enrolled 46 women with PCOS and 45 normal control subjects who were referred to our hospital's endocrinology outpatient clinic. The patients and controls were selected from the normotensive population with a body mass index (BMI) less than 27 kg/m2. Women with diabetes mellitus, cases of hypertension and those with age above 30 years and BMI above 27 kg/m2 were excluded from study.

The diagnosis of PCOS was documented based on a history of oligomenorrhoea or amenorrhoea (less than eight cycles per year), clinical or biochemical manifestations of hyperandrogenism such as hirsutism, acne or elevation of at least one circulating ovarian androgen (serum dehydroepiandrosterone sulphate [DHEAS] or testosterone) and polycystic ovaries at ultrasound. Two of three criteria were sufficient to confirm the diagnosis. Controls were healthy women with normal menstrual cycles, non-hyperandrogenic, non-hirsute and with normal ovarian morphology at ultrasound. One examiner (M.A.) assessed the hirsutism according to Ferriman-Gallwey score; a score greater than 7 was considered to indicate hirsutism.

All those with secondary causes of hyperandrogenism, such as hyperprolactinaemia, thyroid disease, late onset congenital adrenal hyperplasia (17-OH progesterone > 2 ng/dl), androgenic tumour (testosterone > 4 ng/ml), Cushing disease, renal or liver failure, pregnancy and diabetes mellitus, were excluded from the study. After basic history taking, anthropometric properties of cases and controls such as BMI, waist circumference (WC), hip circumference (HC), ratio of WC/HC and systolic and diastolic blood pressure were measured.

Fasting blood samples were collected for measurement of blood glucose, insulin, androgens, triglycerides (TG), total cholesterol (TC), high-density lipoprotein (HDL) and low-density lipoprotein (LDL). Insulin resistance (IR) was assessed using both fasting insulin levels and the homeostasis model assessment (HOMA) calculation: fasting serum insulin (micro units per millilitre) multiplied by fasting plasma glucose (millimoles per litre) and divided by 22.5.

The serum levels of DHEAS, follicle-stimulating hormone (FSH), luteinising hormone (LH), 17 hydroxy (OH) progesterone, testosterone and prolactin were also measured in cases and controls.

CIMT measurement

High-resolution B mode ultrasonographies of both the common and internal carotid arteries were performed with an ultrasound device (Siemens, Sonoline G40, Germany) equipped with a 10 MHz linear array transducer. Patients were examined in the supine position with the head tilted backwards. After the carotid arteries were located by transverse scan, the probe was rotated 90° to obtain and record a longitudinal image of common carotid arteries.

The maximum CIMT was measured at the posterior wall of the common carotid artery, 2 cm before the bifurcation, as the distance between first and second echogenic lines of anterior and posterior arterial walls. The image was focused on the posterior wall of the common carotid artery, and we used the gain settings to optimise the quality of the image. For accuracy, the CIMT measurements were performed vertical to the arterial wall. Three CIMT measurements were taken at each site and the average measurement was calculated and used.

Flow-mediated dilatation (FMD) measurement

Ultrasound examination of FMD was performed in the morning after overnight fast, after 15 minutes rest in the horizontal position, by means of a Sonoline G40 ultrasound scanner (Siemens, Germany) with a linear transducer (10 MHz). The diameter of the right brachial artery was measured 3-5 cm above the antecubital space at baseline. The measurement was performed in the end-diastolic phase, marking the diameter between anterior and posterior artery wall in the zone between the media and adventitia ('m-line'). An average of three measurements was taken and further analysed to calculate FMD. Subsequently, a pneumatic tourniquet was placed on the upper part of the right forearm and inflated for four minutes to a pressure of 200 mm Hg or 50 mm Hg above systemic arterial blood pressure. Sixty seconds after cuff release, the diameter of the right brachial artery was measured three times. FMD was calculated as an increase of vascular diameter (in percentage) from the difference between maximum and baseline brachial artery diameter. Data were calculated as absolute diameter of the brachial artery (in mm) and percentage increased in the diameter of the brachial artery. CIMT and FMD in all cases and controls were measured by one radiologist (A.M.), who was blinded to clinical and laboratory data of patients and controls.

Statistical analysis was performed using SPSS (version 16. Chicago, IL, USA). We performed the statistical calculation by using the T-test, Mann-Whitney U test, Kolmogorov-Smirnov (K-S) test and logistic regression. A p value equal or less than 0.05 was considered statistically significant.


Results

The mean ± SD of age was 23.02 ± 5.17 in the patient group and 27.96 ± 3.97 in the control group. The mean ± SD of BMI in PCOS was 25.08 ± 5.54 kg/m2, and in control subjects it was 21.59 ± 3.08 kg/m2. There were statistically significant differences in age, BMI, AC, HC and ratio of AC/HC between cases and control subjects. Table 1 summarises the anthropometrics data of PCOS and control subjects.

The mean systolic blood pressure (SBP) and diastolic blood pressure (DBP) in PCOS patients and control subjects were 114.46 ± 29.02 mm/Hg, 79.02 ± 8.40 mm/Hg and 120.67 ± 18.26 mm/Hg, 78.40 ± 7.37 mm/Hg, respectively. There was no statistically significant difference between PCOS and controls in terms of SBP and DBP. There were statistically significant differences in terms of FBS, TG, TC, LDL and HDL between PCOS and control subjects. Table 2 summarises the SBP, DBP and biochemical data of PCOS patients and control subjects.

Assessment of sex hormone and insulin levels between PCOS and control subjects showed that there was a significant difference in term of FSH, prolactin (PRL), testosterone and DHEAS between cases and controls, but there were no significant differences between cases and controls in term of LH and 17 OH progesterone levels. Table 3 summarises the serum insulin and sex hormone levels in PCOS patients and controls.

Patients with PCOS demonstrated higher HOMA index levels of (2.77 ± 1.80 vs. 0.81 ± 0.08; p < 0.000) when compared with the control subjects. Furthermore, patients with PCOS showed an increased mean CIMT (0.63 ± 0.16 mm) when compared with the control subjects (0.33 ± 0.06 mm). This difference was statistically significant (p = 0.001).

The mean ± SD of brachial artery diameter at baseline was 3.89 ± 0.19 mm in normal subjects and 3.86 ± 0.11 mm in the PCOS group. The difference was not statistically significant (p = 0.19). Moreover, the mean ± SD of brachial artery diameter post ischemia was 4.13 ± 0.17 mm in normal subjects and 4.23 ± 0.12 mm in the PCOS group. The difference was statistically significant (p = 0.01).

The mean FMD in young patients with PCOS was 10.07 ± 1.2% and 6.5 ± 2.06% in normal subjects. The difference was statistically significant (p = 0.001). On the other hand, there was no significant association between HOMA index and CIMT in PCOS patients (r = +0.13; p = 0.18). The HOMA index of insulin resistance had a significantly negative relation with FMD in PCOS patients (r = -0.3; p = 0.02).


Discussion

The endothelium is considered the largest endocrine gland, and secretes many transmitters to maintain the homeostasis of the circulatory system [8]. FMD is a non-invasive US method currently recognised as a useful technique for the evaluation of endothelial function [8]. The basic mechanism of FMD is the evaluation of brachial artery dilatation by evoking brachial artery ischemia. After brachial artery occlusion, endothelial nitric oxide is released and vascular smooth muscle relaxation occurs [9].

One of the early processes in the pathophysiology of atherosclerosis is impaired endothelial function [10]. Impaired endothelial function which is quantified by FMD is a marker of increased cardiovascular risk because it is well correlated with impaired endothelial function in coronary arteries [11]. The exact effect of PCOS on endothelial function remains controversial. Several studies have revealed that it is not impaired in women with PCOS who are either not obese or do not display morbid obesity [7,12,13]. However, some authors believe that endothelial function is impaired in patients with PCOS [5,14,15]. In our investigation, we evaluated vascular function in subjects with PCOS, and compared those patients with healthy control subjects.

Our study demonstrates a significant difference in CIMT between both age-matched PCOS and control subjects. Our result is in agreement with the report by Lukhani [16] and Talbott et al. [17] but is in contrast with the study of the Meyer et al. [4]. Our study demonstrates a significant difference in FMD between both PCOS and control groups, which is in agreement [9,18] and in contrast [7,19-22] with other studies. Orio et al showed that a significant difference in flow-mediated dilation and in intima-media thickness in young, normal-weight, nondyslipidemic, nonhypertensive women with PCOS in comparison with control subjects [14]. Although they excluded patients with dyslipidemia and hypertension from study group but our results are in concordance to the report by them.

Our results provide additional evidence confirming that there is endothelial dysfunction in women with PCOS in comparison with normal subjects.

The pathophysiological mechanism of inducing endothelial dysfunction remains unclear, but insulin resistance seems to be essential. Beckman et al. [7] reported an association between insulin resistance and endothelial dysfunction in type 2 DM and lipodystrophic diabetes. Others have shown an association between insulin resistance in children with DM and MS [23,24].

The postulated mechanisms whereby insulin resistance can adversely affect the endothelium are: overproduction of free fatty acids; tumour necrosis factor (TNF) α; leptin, which causes endothelial dysfunction; and the induction of an increased oxidative stress mechanism that, contributes to endothelial dysfunction [4,25,26].

In our study, there was a statistically significant difference in terms of BMI between PCOS and control subjects (both groups had normal BMI but the difference between them was statistically significant). Previous studies reported that the endothelial function was preserved in lean individuals and without morbid obesity with PCOS [8,13], but this still remains controversial [6,14,15]. We accept the lack of BMI matching as a limitation of our study, and recommend its consideration in future research.

Although in our study, the mean CIMT was different between PCOS and normal subjects, the HOMA index was correlated with FMD and we did not find a relationship between the HOMA index and CIMT. A previous study revealed that endothelial dysfunction occurred early in the development of atherosclerosis, preceding the onset of increased CIMT [27]. Thus, it seems that various risk factors in PCOS patients may contribute separately to the development of endothelial dysfunction.

We found that young patients with PCOS had higher levels of MS inclusion criteria such as serum TG, TC, LDL, FBS, insulin, insulin resistance (HOMA-IR) and lower levels of serum HDL. Thus, we believe it is better to consider PCOS as an ovarian manifestation of MS.

In conclusion, PCOS accompanies the tsunami of MS and hormonal abnormalities such as insulin resistance, dyslipidaemia, hyperandrogenaemia all make PCOS patients susceptible to future cardiovascular events. The diagnosis of this entity may offer an early cardio-protective protocol for women with PCOS.


List of abbreviations

PCOS: Polycystic ovary syndrome; Met S: Metabolic syndrome; TG: Triglyceride; CIMT: carotid intima media thickness; TC: Total cholesterol; LDL: Low density lipoprotein; HDL: High density lipoprotein; IR: Insulin Resistance; FMD: Flow-mediated dilatation.


Competing interests

The authors declare that they have no competing interests.


Authors' contributions

All the authors in this manuscript have read and approve the final manuscript. MA: concept and design, and manuscript writing. AM: The Ultrasonographic studies and manuscript writing. MG: Data collection, Manuscript editing. LJ: Data Collection, concept and design. SS: Data analysis.


Acknowledgements

This research was supported by a grant from Urmia University of Medical Sciences


References
Baranova A,Tran TP,Birerdinc A,Younossi ZM,Systematic review: association of polycystic ovary syndrome with metabolic syndrome and non-alcoholic fatty liver diseaseAliment Pharmacol TherYear: 20113378011410.1111/j.1365-2036.2011.04579.x21251033
Ovalle F,Azziz R,Insulin resistance, polycystic ovary syndrome and type 2 diabetesFertil SterilYear: 2002771095110510.1016/S0015-0282(02)03111-412057712
Mohammadi A,Ghasemi-rad M,Zahedi H,Toldi G,Alinia T,Effect of severity of steatosis as assessed ultrasonographically on hepatic vascular indices in non-alcoholic fatty liver diseaseMedical UltrasonographyYear: 201113320020621894290
Meyer C,McGrath BP,Teede HJ,Overweight women with polycystic ovary syndrome have evidence of subclinical cardiovascular diseaseJ Clin Endocrinol MetabYear: 200590105711610.1210/jc.2005-001116046590
Wenner MM,Taylor HS,Stachenfeld N,ET-B receptor contribution to peripheral microvascular functions in women with Polycystic Ovary SyndromeJ PhysiolYear: 20118
Tarkun I,Arslan BC,Cantürk Z,Türemen E,Sahin T,Duman C,Endothelial dysfunction in young women with polycystic ovary syndrome: relationship with insulin resistance and low-grade chronic inflammationJournal of Clinical Endocrinology and MetabolismYear: 2004895592559610.1210/jc.2004-075115531516
Beckman JA,Goldfine AB,Dunaif A,Gerhard-Herman M,Creager MA,Endothelial function varies according to insulin resistance disease typeDiabetes CareYear: 200730512263210.2337/dc06-214217261751
The Rotterdam ESHRE/ASRM-Sponsored PCOS Consensus Workshop GroupRevised 2003 consensus on diagnostic criteria and long-term health risks related to polycystic ovary syndromeFertil SterilYear: 200481192415126094
Kaźmierski M,Michalewska-Włudarczyk A,Krzych LJ,Tendera M,Diagnostic value of flow mediated dilatation measurement for coronary artery lesions in men under 45 years of ageCardiol JYear: 20101732889220535720
. Tschakovsky ME,Pyke KE,Counterpoint: Flow-mediated dilation does not reflect nitric oxide-mediated endothelial functionJ Appl PhysiolYear: 20059931235810.1152/japplphysiol.00607.200516103525
Asselbergs FW,Van der harst P,Jessurum GA,Tio RA,Van Glist WH,Clinical impact of vasomotor function assessment and the role of ACE-inhibitors and statinsVascul PharmacolYear: 20054231254010.1016/j.vph.2005.01.00915792930
Peretz A,Leota DF,Sullivan JH,Trenga CA,Sands FN,Aulet MR,Paun M,Gill EA,Kaufman JD,Flow mediated dilation of the brachial artery: an investigation of methods requiring further standardizationBMC Cardiovascular DisorderYear: 200771110.1186/1471-2261-7-11
Mather K,Anderson TJ,Verma S,Insulin action in the vasculature: physiology and pathophysiologyJ Vasc ResYear: 20013841542210.1159/00005107411561143
Orio F Jr,Palomba S,Cascella T,De Simone B,Di Biase S,Russo T,Labella D,Zullo F,Lombardi G,Colao A,Early impairment of endothelial structure and function in young normal-weight women with polycystic ovary syndromeJ Clin Endocrinol MetabYear: 2004894588459310.1210/jc.2003-03186715356067
Kravariti M,Naka KK,Kalantaridou SN,Kazakos N,Katsouras CS,Makrigiannakis A,Paraskevaidis EA,Chrousos GP,Tsatsoulis A,Michalis LK,Predictors of endothelial dysfunction in young women with polycystic ovary syndromeJ Clin Endocrinol MetabYear: 2005905088509510.1210/jc.2005-015115985492
Paradisi G,Steinberg HO,Hempfling A,Cronin J,Hook G,Shepard MK,Baron AD,Polycystic ovary syndrome is associated with endothelial dysfunctionCirculationYear: 20011031410141511245645
Lakhani K,Hardiman P,Seifalian A,Intima-media thickness of elastic and muscular arteries in young women with polycystic ovariesAtherosclerosisYear: 200417535335910.1016/j.atherosclerosis.2004.04.00715262192
Talbott E,Guzick D,Sutton-Tyrrell K,McHugh-Pemu P,Zborowski J,Remsberg K,Evidence for the association between polycystic ovary syndrome and premature carotid atherosclerosis in middle aged womenArterioscler Thromb Vasc BiolYear: 2000202414242110.1161/01.ATV.20.11.241411073846
Paradisi G,Steinberg H,Hempfling A,Cronin J,Hook G,Shepard M,Polycystic ovarian syndrome is associated with endothelial dysfunctionCirculationYear: 20011031410141511245645
Mather KJ,Verma S,Corenblum B,Anderson TJ,Normal endothelial function despite insulin resistance in healthy women with the polycystic ovary syndromeJ Clin Endocrinol MetabYear: 2000851851185610.1210/jc.85.5.185110843164
Brinkworth GD,Noakes M,Moran LJ,Norman R,Clifton PM,Flow-mediated dilatation in overweight and obese women with polycystic ovary syndromeBJOGYear: 2006113111308131410.1111/j.1471-0528.2006.01090.x17059392
Jonard S,Robert Y,Cortet-Rudelli C,Pigny P,Decanter C,Dewwailly D,Ultrasound examination of polycystic ovaries: is it worth counting the follicles?Hum ReprodYear: 200318359860310.1093/humrep/deg11512615832
Ehrmann DA,Polycystic ovary sybdromeN Engl J MedYear: 2005352121223123610.1056/NEJMra04153615788499
Quinones M,Pampaloni M,Juarez B,Insulin resistance in healthy Mexican Americans is associated with coronary artery endothelial dysfunctionDiabetesYear: 200049A146
Balletshofer B,Rittig K,Enderle M,Endothelial dysfunction is detectable in young normotensive first degree relatives of subjects with type II diabetes in association with insulin resistanceCirculationYear: 20001011780178410769277
Arcaro G,Cretti A,Balzano S,Lechi A,Muggeo M,Bonora E,Insulin causes endothelial dysfunction in humansCirculationYear: 200210557658510.1161/hc0502.10333311827922
Singh T,Groehn H,Kazmers A,Vascular function and carotid intimal-medial thickness in children with insulin-dependent diabetes mellitusJ Am Coll CardiolYear: 200019661665

Tables
[TableWrap ID: T1] Table 1 

This table shows the anthropometric data of the cases and controls.


Variable Group Number Mean ± SD P value
Age Control 45 27.96 ± 3.97 0.000
PCOS 46 23.02 ± 5.17
Height Control 45 163.78 ± 3.80 0.03
PCOS 46 161.43 ± 6.40
Weight Control 45 58.73 ± 7.44 0.008
PCOS 46 65.60 ± 15.25
BMI Control 45 21.59 ± 3.80 0.001
PCOS 46 25.80 ± 5.45
AC Control 45 80.16 ± 12.76 0.65
PCOS 46 81.61 ± 12.86
HC Control 45 97.87 ± 6.20 0.003
PCOS 46 105.96 ± 16.46
WC/HC Control 45 0.82 ± 0.4 0.02
PCOS 46 0.79 ± 0.09

[TableWrap ID: T2] Table 2 

This table shows the systolic and diastolic blood pressure and biochemical data of the cases and controls.


SBP (mm/Hg) Controls 45 120.67 ± 18.26 0.22
Cases 46 114.46 ± 29.02
DBP (mm/Hg) Controls 45 78.44 ± 7.37 0.72
Cases 46 79.02 ± 8.40
FBS (mg/dl) Controls 45 74.73 ± 9.28 0.0001
Cases 46 85 ± 8.67
TG (mg/dl) Controls 45 98.76 ± 48.90 0.04
Cases 46 123.02 ± 62.70
LDL (mg/dl) Controls 45 118.79 ± 31.76 0.05
Cases 46 133.43 ± 40.24
HDL (mg/dl) Controls 45 60.16 ± 13.16 0.0001
Cases 46 47.49 ± 8.41

[TableWrap ID: T3] Table 3 

This table shows the serum hormonal characteristics of the cases and controls.


Variable Groups Number Mean ± SD P Value
FSH (mIu/ml) Controls 45 5.57 ± 1.88 0.01
Cases 46 7.33 ± 4.25
LH (mIu/ml) Controls 45 5.46 ± 4.72 0.24
Cases 46 26.51 ± 14.63
PRL (ng/ml) Controls 45 13.61 ± 5.39 0.001
Cases 46 21.15 ± 19.11
Testosterone Controls 45 0.55 ± 0.87 0.001
Cases 46 1.58 ± 1.21
DHEAS (g/dl μ) Controls 45 187.22 ± 105.61 0.001
Cases 46 284.48 ± 111.18
17(OH) Progesterone (ng/dl) Controls 45 1.25 ± 0.76 0.23
Cases 46 1.69 ± 2.35
Insulin (mIu/ml) Controls 45 4.34 ± 1.90 0.001
Cases 46 12.62 ± 8.13


Article Categories:
  • Research


Previous Document:  Does smoking kill? A study of death certification and smoking.
Next Document:  Reduced mismatch negativity predates the onset of psychosis.