<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OJEMD</journal-id><journal-title-group><journal-title>Open Journal of Endocrine and Metabolic Diseases</journal-title></journal-title-group><issn pub-type="epub">2165-7424</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojemd.2018.89017</article-id><article-id pub-id-type="publisher-id">OJEMD-89936</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Anti-Mullerian Hormone: Establishing the Ovarian Reserve Range with Age in Rivers State Women, Niger Delta Region of Nigeria
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>F.</surname><given-names>C. Ezeiruaku</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>C.</surname><given-names>L. Ezeani</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Department of Medical Laboratory Science, Faculty of Basic Medical Sciences, College of Health Sciences, Niger Delta University, Wilberforce Island, Nigeria</addr-line></aff><pub-date pub-type="epub"><day>27</day><month>09</month><year>2018</year></pub-date><volume>08</volume><issue>09</issue><fpage>167</fpage><lpage>175</lpage><history><date date-type="received"><day>28,</day>	<month>August</month>	<year>2018</year></date><date date-type="rev-recd"><day>24,</day>	<month>September</month>	<year>2018</year>	</date><date date-type="accepted"><day>27,</day>	<month>September</month>	<year>2018</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Background: The measurement of circulating anti-Mullerian hormone (AMH) in the plasma of adult women has been used as a tool in the assessment of ovarian reserve. This is based on its ability to reflect the number of growing follicles in the ovaries and knowing the level of 
  <em>AMH</em> in a woman’s blood is generally a good indicator of her ovarian reserve and this can be achieved by making reference to a decision values. 
  Objective: The purpose of this study was to measure the level of this hormone in normal, apparently healthy subjects in Rivers State, Nigeria with respect to age. The percentage of women, at their reproductive age with infertility problems in the state is in the increase and the essence was to establish a reference range for the hormone because of its clinical application in women fertility. 
  Materials/method: A total of one thousand and sixty two apparently healthy women divided into four age groups were recruited for this study; this comprised of 300 each in age group of 20 - 30, 31 - 40, 41 - 50 respectively and 162 in 51 - 60 years age group from May 2014 to June 2017. They were randomly selected after filling a questionnaire form that has the information of age, tribe, last date of menses and whether on medication for any infertility problems. Excluded from the study were subjects identified with different endocrine dysfunction and/or on drugs for different types of anovulatory dysfunction. The Enzyme linked Immunoassay method was used in the measurement of the AMH. 
  Results: The result from the measurement of plasma AMH levels showed a Mean &#177; SD value of 3.193 &#177; 0.943, 1.644 &#177; 0.691, 0.516 &#177; 0.276 and 0.135 &#177; 0.081 ng/ml respectively for the 1
  <sup>st</sup>, 2
  <sup>nd</sup>, 3
  <sup>rd</sup> and 4
  <sup>th</sup> age groups respectively. The mean value for the AMH decreases with increasing age and was statistically significant at the different age group levels (P &lt; 0.05). The distribution pattern of the AMH, showed that a greater percentage of the women, about 46%, in age group 41 - 50 and 51 - 60 had a significant reduced level of the hormone from the group mean value, when compared with age group 20 - 30 and 31 - 40 years with about 15%. Conclusion: The reference, established range for the AMH (that is, 95% prediction interval), with respect to age in Rivers State women of Niger Delta region, Nigeria is as follows: 
  &amp;minus;2.250 - 4.136; 0.953 - 2.350; 0.240 - 0.792 and 0.054 - 0.216 respectively for the age groups. This study summarizes the findings concerning AMH and its role as a marker for the quantitative aspect of ovarian reserve, ovarian aging, as well as ovarian dysfunction in this region of the country.
 
</p></abstract><kwd-group><kwd>Anti-Mullerian Hormone</kwd><kwd> Ovary</kwd><kwd> Reserve</kwd><kwd> Follicles</kwd><kwd> Fertility</kwd><kwd> Anovulatory</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>The anti-Mullerian hormone (AMH) in females is a glycoprotein produced by the granulosa cells of the antral follicles [<xref ref-type="bibr" rid="scirp.89936-ref1">1</xref>] with major function in growth differentiation and folliculogenesis [<xref ref-type="bibr" rid="scirp.89936-ref2">2</xref>] .</p><p>The AMH secreted by antral follicles is most often used as a clinical biomarker for ovariian reserve in infertility diagnosis and management [<xref ref-type="bibr" rid="scirp.89936-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.89936-ref4">4</xref>] .</p><p>The AMH also is used in detection of premature ovarian aging and serves as a predictor of ovarian responsiveness in ovulation induction and in vitro fertilization [<xref ref-type="bibr" rid="scirp.89936-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.89936-ref6">6</xref>] . The other uses of AMH in females may include the production of hyper-stimulation syndrome [<xref ref-type="bibr" rid="scirp.89936-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.89936-ref8">8</xref>] , ovarian function pathology in an infertility setting [<xref ref-type="bibr" rid="scirp.89936-ref6">6</xref>] and detecting post chemotherapy or surgical damage to the ovarian reserve and assessing the need for fertility-preservation strategies [<xref ref-type="bibr" rid="scirp.89936-ref9">9</xref>] .</p><p>The measurement of AMH in women may help to simplify the World Health Organisation (WHO) classification of anovulation [<xref ref-type="bibr" rid="scirp.89936-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.89936-ref10">10</xref>] . The class one has to do with hypogonadotropic hypogonadal anovulation (hypothalamic amenorrhea), the class two with Normogonadotropic normoestrogenic anovulation and class three with Hypergonadotropic hypoestrogenic anovulation. Studies has shown that clinical applicability of serum AMH as a diagnostic tool to differentiate between the different classes of anovulatory dysfunction seems to be limited to the production of hypergonadotropic anovulation [<xref ref-type="bibr" rid="scirp.89936-ref4">4</xref>] while others suggest that serum AMH level was associated with abnormal follicular development and would be an effective measurement for ovulatory dysfunction of sterile female [<xref ref-type="bibr" rid="scirp.89936-ref11">11</xref>] .</p><p>The percentage of women delaying child bearing in Rivers State continues to increase and the demand for an accurate assessment of ovarian reserve has grown. This is because more incidence of ovulatory dysfunction was found in women under reproductive age [<xref ref-type="bibr" rid="scirp.89936-ref12">12</xref>] . Different approaches by physicians have been applied to examine the cause of the ovulatory dysfunction [<xref ref-type="bibr" rid="scirp.89936-ref13">13</xref>] but a reliable validated diagnostic examination is desired worldwide.</p><p>The anti-Mullerian hormone produced by the granulosa cells of small antral and pre-antral follicles and reflects the size of the pool of these follicles [<xref ref-type="bibr" rid="scirp.89936-ref14">14</xref>] declines with age but remains stable during the menstrual cycle allowing its determination at random [<xref ref-type="bibr" rid="scirp.89936-ref15">15</xref>] . Establishing the AMH level in infertility females is crucial to categorize them as ovulation after treatment with different ovulation stimulants [<xref ref-type="bibr" rid="scirp.89936-ref16">16</xref>] . Establishing a reference in this environment is therefore important for a proper clinical judgement and management of female infertility.</p></sec><sec id="s2"><title>2. Materials/Methods</title><sec id="s2_1"><title>2.1. Study Area</title><p>The study establishing the reference range for the anti-Mullerian hormone was carried out in Port Harcourt, Rivers State and its environs, Niger Delta Region of Nigeria. Port Harcourt, capital city of Rivers State has a population of about 1,382,592 inhabitants [<xref ref-type="bibr" rid="scirp.89936-ref17">17</xref>] and 538,558 are females. The majority of the females are civil servants and peasant business women.</p></sec><sec id="s2_2"><title>2.2. Study Subjects</title><p>The totals of one thousand and sixty two apparently healthy fertile and sub fertile subjects (advanced in age) between the ages of 20 to 60 were recruited for the study. Four different groups of 20 - 30, 31 - 40, 41 - 50 and 51 - 60 years with 300 subjects each, except 51 - 60 years group with 162 subjects. All subjects were recruited between May 2014 and June 2017 from Port Harcourt and it’s environ of Rivers State, Nigeria. They were randomly selected after filling a questionnaire form that has the information of age, tribe, last date of menses, whether on medication for any infertility problems. Excluded from the study were subjects identified with different endocrine dysfunction, increased BMI, pregnancy and or on drugs for different types of anovulatory dysfunction [<xref ref-type="bibr" rid="scirp.89936-ref18">18</xref>] . The essence and details of the study were explained to the subjects and informed consent was obtained from them before sample collection. Ethical approval was gotten from the human ethical committee of the University for this Study.</p></sec><sec id="s2_3"><title>2.3. Sampling Method</title><p>To achieve this reference range establishment, a random sampling of the different women from the population was used. This took into consideration the age of the subjects, excluding those that have different endocrine dysfunctions and women with infertility as established [<xref ref-type="bibr" rid="scirp.89936-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.89936-ref20">20</xref>] . The apparently healthy subjects were selected for the study and with a method that has been established to give a precise range of results in hormonal assay [<xref ref-type="bibr" rid="scirp.89936-ref21">21</xref>] .</p></sec><sec id="s2_4"><title>2.4. Study Assay</title><p>Anti-Mullerian hormone serum samples were collected in a 5 ml serum separator tube and processed within 2 hours to avoid Red blood cell haemolysis. Samples were centrifuged for 10 minutes at 3000 rpm at room temperature. The serum is transferred into a 1ml plain tube and stored frozen at 20˚C. The AMH levels were determined using the Enzyme Linked Immunosorbent Assay (ELISA) method [<xref ref-type="bibr" rid="scirp.89936-ref21">21</xref>] . Specifically, Human AMH ELISA Kit from Elabscience USA was used for the determination of serum AMH levels. This ELISA Kit uses the Sandwish ELISA principle and the Biotech plate reader was used to read the samples at 450 nm [<xref ref-type="bibr" rid="scirp.89936-ref22">22</xref>] .</p></sec><sec id="s2_5"><title>2.5. Statistical Analysis</title><p>The data are expressed as mean &#177; standard deviation, standard error of mean and normal ranges. Correlation between the groups studied was tested using the regression analysis. The results obtained from this were subjected to statistical analysis using standard computerized analysis tool of ANOVA: two factors without replication and standard t-test: pair two samples for mean. 95% confidence level (P &lt; 0.05) were used and considered significant.</p></sec></sec><sec id="s3"><title>3. Results</title><p>The result of the study on the establishment of the ant-Mullerian hormone reference range in Portharcourt is as presented in the tables and figures below. With the method used, the result has shown that the AMH as a measure of ovarian reserve decreases with aging and at menopause, the levels get undetected. The ranges for each group level were statistically significant (P &lt; 0.05) from each other.</p></sec><sec id="s4"><title>4. Discussions</title><p>Screening for ovarian reserve is a fundamental part of fertility assessment and management. Measuring the AMH has emerged as a key marker of ovarian reserve [<xref ref-type="bibr" rid="scirp.89936-ref23">23</xref>] due to its ability to reflect the number of small antral and preantral follicles present in the ovaries. At birth, the female has the maximum number of ovarian follicles which decline with time until the eggs are depleted at menopause. The reproductive potential of a woman in terms of fertility therefore is associated to her current supply of eggs. A woman expects an earlier menopause if at certain age, the level of AMH is low and vice versa when the AMH level is high. At different ovarian dysfunctions, the AMH level as a predictor of ovarian reserve or fertility is not attainable; therefore ovary does not age as predicted. This study that established the reference range in this part of the world will help the physician to make reference and interpret results of varying women that wants to solve different fertility problems.</p><p>From the results of this study (<xref ref-type="table" rid="table1">Table 1</xref> and <xref ref-type="table" rid="table2">Table 2</xref>), the mean AMH level of 3.193 ng/ml at early average age of 25 years depleted significantly (P &lt; 0.05) to 0.135 ng/ml at menopause age of 55 years with a range of 2.250 - 4.136 and 0.054 - 0.216 respectively. The median AMH quartile range value of 3.12 for age group 20 - 30 years and 0.13 for age group 51 - 60 years (<xref ref-type="table" rid="table3">Table 3</xref>) has shown how undetectable the serum AMH at this level and are statistically significant (P &lt; 0.05).</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Comparison of anti-Mullerian hormone (ng/ml) by age group</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Age Group (Years)</th><th align="center" valign="middle" >N</th><th align="center" valign="middle" >Mean</th><th align="center" valign="middle" >SEM</th><th align="center" valign="middle" >Lower 95%</th><th align="center" valign="middle" >Upper 95%</th><th align="center" valign="middle" >P-Value</th></tr></thead><tr><td align="center" valign="middle" >20 - 30</td><td align="center" valign="middle" >300</td><td align="center" valign="middle" >3.193<sup>a</sup></td><td align="center" valign="middle" >0.063</td><td align="center" valign="middle" >3.169</td><td align="center" valign="middle" >3.418</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >31 - 40</td><td align="center" valign="middle" >300</td><td align="center" valign="middle" >1.644<sup> b</sup></td><td align="center" valign="middle" >0.037</td><td align="center" valign="middle" >1.571</td><td align="center" valign="middle" >1.718</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >41 - 50</td><td align="center" valign="middle" >300</td><td align="center" valign="middle" >0.516<sup> c</sup></td><td align="center" valign="middle" >0.017</td><td align="center" valign="middle" >0.482</td><td align="center" valign="middle" >0.549</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >51 - 60</td><td align="center" valign="middle" >162</td><td align="center" valign="middle" >0.135<sup> d</sup></td><td align="center" valign="middle" >0.008</td><td align="center" valign="middle" >0.129</td><td align="center" valign="middle" >0.162</td><td align="center" valign="middle" >&lt;0.0001****</td></tr></tbody></table></table-wrap><p>SEM: Standard error of mean; Means &#177; SEM with different superscripts are significantly different at P &lt; 0.05. Significance Level: ****= P &lt; 0.0001.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Comparison of anti-Mullerian hormone (ng/ml) by age group</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Age Group (Years)</th><th align="center" valign="middle" >N</th><th align="center" valign="middle" >Mean</th><th align="center" valign="middle" >SD</th><th align="center" valign="middle" >Reference Range</th><th align="center" valign="middle" >P-Value</th></tr></thead><tr><td align="center" valign="middle" >20 - 30</td><td align="center" valign="middle" >300</td><td align="center" valign="middle" >3.193<sup>a</sup><sup> </sup></td><td align="center" valign="middle" >0.943</td><td align="center" valign="middle" >2.250 - 4.136</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >31 - 40</td><td align="center" valign="middle" >300</td><td align="center" valign="middle" >1.644<sup>b</sup></td><td align="center" valign="middle" >0.691</td><td align="center" valign="middle" >0.953 - 2.335</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >41 - 50</td><td align="center" valign="middle" >300</td><td align="center" valign="middle" >0.516<sup>c</sup></td><td align="center" valign="middle" >0.276</td><td align="center" valign="middle" >0.240 - 0.792</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >51 - 60</td><td align="center" valign="middle" >162</td><td align="center" valign="middle" >0.135<sup>d</sup></td><td align="center" valign="middle" >0.081</td><td align="center" valign="middle" >0.054 - 0.216</td><td align="center" valign="middle" >&lt;0.0001***</td></tr></tbody></table></table-wrap><p>SD: Standard deviation; Means &#177; SD with different superscripts are significantly different at P &lt; 0.05. Significance Level: ****= P &lt; 0.0001.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Quantiles of anti-Mullerian hormone (ng/ml) by age group (years)</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Proportion</th><th align="center" valign="middle"  rowspan="2"  >Range</th><th align="center" valign="middle"  colspan="4"  >Age Group (Years)</th></tr></thead><tr><td align="center" valign="middle" >20 - 30<sup>a </sup></td><td align="center" valign="middle" >31 - 40<sup>b </sup></td><td align="center" valign="middle" >41 - 50<sup>c </sup></td><td align="center" valign="middle" >51 - 60<sup>d </sup></td></tr><tr><td align="center" valign="middle" >100.0%</td><td align="center" valign="middle" >Maximum</td><td align="center" valign="middle" >6.36</td><td align="center" valign="middle" >3.78</td><td align="center" valign="middle" >2.40</td><td align="center" valign="middle" >0.90</td></tr><tr><td align="center" valign="middle" >99.5%</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >6.36</td><td align="center" valign="middle" >3.78</td><td align="center" valign="middle" >2.40</td><td align="center" valign="middle" >0.90</td></tr><tr><td align="center" valign="middle" >97.5%</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >6.04</td><td align="center" valign="middle" >3.09</td><td align="center" valign="middle" >1.15</td><td align="center" valign="middle" >0.30</td></tr><tr><td align="center" valign="middle" >90.0%</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >4.82</td><td align="center" valign="middle" >2.6</td><td align="center" valign="middle" >0.87</td><td align="center" valign="middle" >0.24</td></tr><tr><td align="center" valign="middle" >75.0%</td><td align="center" valign="middle" >Quartile</td><td align="center" valign="middle" >3.82</td><td align="center" valign="middle" >2.00</td><td align="center" valign="middle" >0.67</td><td align="center" valign="middle" >0.19</td></tr><tr><td align="center" valign="middle" >50.0%</td><td align="center" valign="middle" >Median</td><td align="center" valign="middle" >3.12</td><td align="center" valign="middle" >1.55</td><td align="center" valign="middle" >0.435</td><td align="center" valign="middle" >0.13</td></tr><tr><td align="center" valign="middle" >25.0%</td><td align="center" valign="middle" >Quartile</td><td align="center" valign="middle" >2.57</td><td align="center" valign="middle" >1.13</td><td align="center" valign="middle" >0.3</td><td align="center" valign="middle" >0.08</td></tr><tr><td align="center" valign="middle" >10.0%</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1.91</td><td align="center" valign="middle" >0.9</td><td align="center" valign="middle" >0.222</td><td align="center" valign="middle" >0.06</td></tr><tr><td align="center" valign="middle" >2.5%</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1.59</td><td align="center" valign="middle" >0.68</td><td align="center" valign="middle" >0.16</td><td align="center" valign="middle" >0.03</td></tr><tr><td align="center" valign="middle" >0.5%</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1.38</td><td align="center" valign="middle" >0.59</td><td align="center" valign="middle" >0.14</td><td align="center" valign="middle" >0.02</td></tr><tr><td align="center" valign="middle" >0.0%</td><td align="center" valign="middle" >Minimum</td><td align="center" valign="middle" >1.38</td><td align="center" valign="middle" >0.59</td><td align="center" valign="middle" >0.14</td><td align="center" valign="middle" >0.02</td></tr></tbody></table></table-wrap><p><sup>a,</sup><sup>b,c,d</sup>Significantly different at P &lt; 0.05.</p><p>The distribution pattern of the AMH (<xref ref-type="fig" rid="fig1">Figure 1</xref> and <xref ref-type="fig" rid="fig2">Figure 2</xref>), showed that a greater percentage of the women, about 46%, in age group 41 - 50 and 51 - 60 had a significant reduced level of the hormone from the group mean value, when compared with age group 20 - 30 and 31 - 40 years with about 15%. This means that women who delay pregnancy run the risk of developing age related infertility as their ovarian reserve declines. The result of this study will guide women regarding the status of their biological clock and may reduce the need for fertility</p><p>treatments on these patients. The findings of this study are in line with some earlier studies [<xref ref-type="bibr" rid="scirp.89936-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.89936-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.89936-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.89936-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.89936-ref26">26</xref>] and research continues to demonstrate the important role of AMH in assessing ovarian reserve or predict response to ovarian stimulation in assisted reproductive treatments.</p></sec><sec id="s5"><title>5. Conclusion</title><p>The levels of Anti-Mullerian hormone, known to predict the ovarian reserve fluctuate only minimally throughout the menstrual cycle, but decline and deplete with aging. The determination of the serum AMH was done using enzyme Linked Immunosorbent Assay (ELISA). The reference, established range for the AMH (that is, 95% prediction interval) with respect to age in Rivers State women of Niger Delta region, Nigeria is as follows: −2.250 - 4.136; 0.953 - 2.350; 0.240 - 0.792 and 0.054 - 0.216 respectively for the age groups of 20 - 30, 31 - 40, 41 - 50 and 51 - 60 years respectively. This study summarizes the findings concerning AMH and its role as a marker for the quantitative aspect of ovarian reserve, ovarian aging, as well as ovarian dysfunction in this region of the country.</p></sec><sec id="s6"><title>6. Limitations about the Study</title><p>1) Getting the consent of the identified subjects, as many of them are not literate enough to understand the reasons for the study.</p><p>2) The cost of AMH kit that limits the sampling size.</p></sec><sec id="s7"><title>Acknowledgements</title><p>This is to acknowledge the diagnostic and financial support in part by De-integrated Medical diagnostic and Research Centre Port-Harcourt, Nigeria.</p></sec><sec id="s8"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s9"><title>Cite this paper</title><p>Ezeiruaku, F.C. and Ezeani, C.L. (2018) Anti-Mullerian Hormone: Establishing the Ovarian Reserve Range with Age in Rivers State Women, Niger Delta Region of Nigeria. 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