<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0138-600X</journal-id>
<journal-title><![CDATA[Revista Cubana de Obstetricia y Ginecología]]></journal-title>
<abbrev-journal-title><![CDATA[Rev Cubana Obstet Ginecol]]></abbrev-journal-title>
<issn>0138-600X</issn>
<publisher>
<publisher-name><![CDATA[Editorial Ciencias Médicas]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0138-600X2019000400005</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Un modelo predictivo de preeclampsia a partir de datos clínicos y bioquímicos]]></article-title>
<article-title xml:lang="en"><![CDATA[A Predictive Model of Preeclampsia from Clinical and Biochemical Data]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Cruz Vadell]]></surname>
<given-names><![CDATA[Haydée]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[López Barroso]]></surname>
<given-names><![CDATA[Reinaldo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Cáceres Dieguez]]></surname>
<given-names><![CDATA[Aglae]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Álvarez Guerra]]></surname>
<given-names><![CDATA[Eloy D.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Ciencias Médicas Facultad de Enfermería-Tecnología de la Salud Departamento de Medios Diagnósticos]]></institution>
<addr-line><![CDATA[Santiago de Cuba ]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad de Ciencias Médicas Hospital General ¨Juan Bruno Zayas Alfonso¨ Departamento de Ginecología y Obstetricia]]></institution>
<addr-line><![CDATA[Santiago de Cuba ]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad de Ciencias Médicas  ]]></institution>
<addr-line><![CDATA[Santiago de Cuba ]]></addr-line>
<country>Cuba</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Centro de Biofísica Médica Departamento de Biofísica ]]></institution>
<addr-line><![CDATA[Santiago de Cuba ]]></addr-line>
<country>Cuba</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2019</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2019</year>
</pub-date>
<volume>45</volume>
<numero>4</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_arttext&amp;pid=S0138-600X2019000400005&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_abstract&amp;pid=S0138-600X2019000400005&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.sld.cu/scielo.php?script=sci_pdf&amp;pid=S0138-600X2019000400005&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN  Introducción: La preeclampsia es uno de los síndromes en mujeres embarazadas que afecta al menos 3 - 8 % de todos los embarazos.  Objetivo:  Desarrollar un modelo predictivo de preeclampsia a partir del estado redox en embarazadas, que clasifique a las mujeres pertenecientes a los grupos de gestantes preeclámpticas y gestantes sanas.  Métodos:  Se realizó un estudio analítico transversal. Los parámetros bioquímicos y clínicos se evaluaron utilizando el análisis de componentes principales para identificar las variables más influyentes en la aparición de preeclampsia. Los seleccionados como las variables más importantes fueron evaluados por el análisis discriminante lineal de Fisher.  Resultados:  El análisis de componentes principales determinó la varianza del set de datos, mostrando la relación con los procesos de peroxidación lipídica, metabolismo de proteínas, daño a tejidos y microangiopático, considerados factores en la fisiopatología de la preeclampsia. Las variables más influyentes fueron usadas para modelar una función discriminante capaz de clasificar gestantes sanas y preeclámpticas. El valor de Lambda de Wilks y el alto autovalor asociado a la función discriminante muestran el poder discriminante del modelo. La ecuación obtenida fue validada con el método Leave one out y reveló un excelente poder clasificatorio del mismo.  Conclusiones:  El modelo predictivo puede ser considerado como apropiado para clasificar los casos de preeclampsia, y muestran a los biomarcadores como buenos candidatos para la clasificación y como potenciales indicadores predictivos de preeclampsia.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT  Introduction:  Preeclampsia is one of the syndromes in pregnant women that affects at least 3 - 8% of all pregnancies.  Objective:  To develop a predictive model of preeclampsia from the redox state in pregnant women, which allows to classify them in groups of preeclamptic pregnant women and healthy pregnant women.  Methods:  A cross-sectional analytical study was performed. Biochemical and clinical parameters were evaluated using principal component analysis to identify the most influential variables in the occurrence of preeclampsia. Those selected as the most important variables were evaluated by Fisher's linear discriminant analysis.  Results:  The main component analysis determined the variance of the data set, showing the relationship with lipid peroxidation processes, protein metabolism, tissue damage and microangiopathy, considered factors in the pathophysiology of preeclampsia. The most influential variables were used to model a discriminant function capable of classifying healthy and preeclamptic pregnant women. Wilks Lambda value and the high eigenvalue associated with the discriminant function show the discriminant power of the model. The equation obtained was validated with the Leave one out method and revealed excellent classifying power.  Conclusions:  The predictive model can be considered as appropriate to classify pre-eclampsia cases, and to show biomarkers as good candidates for classification and as potential predictive indicators of pre-eclampsia.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[preeclampsia]]></kwd>
<kwd lng="es"><![CDATA[estado redox]]></kwd>
<kwd lng="es"><![CDATA[análisis discriminante]]></kwd>
<kwd lng="es"><![CDATA[modelo clasificatorio]]></kwd>
<kwd lng="en"><![CDATA[preeclampsia]]></kwd>
<kwd lng="en"><![CDATA[redox state]]></kwd>
<kwd lng="en"><![CDATA[discriminant analysis]]></kwd>
<kwd lng="en"><![CDATA[classification model]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<label>1</label><nlm-citation citation-type="book">
<source><![CDATA[La morbilidad materna extremadamente grave, un reto actual para la reducción de la mortalidad materna]]></source>
<year>2012</year>
<publisher-loc><![CDATA[Cuba ]]></publisher-loc>
<publisher-name><![CDATA[Ed. Molinos Trade S.A.]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B2">
<label>2</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Álvarez]]></surname>
<given-names><![CDATA[PL]]></given-names>
</name>
<name>
<surname><![CDATA[Acosta]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Delgado]]></surname>
<given-names><![CDATA[JJ]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Arterial hypertension and pregnancy]]></article-title>
<person-group person-group-type="editor">
<name>
<surname><![CDATA[Sánchez]]></surname>
<given-names><![CDATA[ST]]></given-names>
</name>
</person-group>
<source><![CDATA[Obstetricia y Ginecología]]></source>
<year>2014</year>
<publisher-loc><![CDATA[Cuba ]]></publisher-loc>
<publisher-name><![CDATA[Ed. Ciencias Médicas]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B3">
<label>3</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rani]]></surname>
<given-names><![CDATA[N]]></given-names>
</name>
<name>
<surname><![CDATA[Dhingra]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Singh Arya]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
<name>
<surname><![CDATA[Kalaivani]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Bhatla]]></surname>
<given-names><![CDATA[N]]></given-names>
</name>
<name>
<surname><![CDATA[Kumar]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Role of oxidative stress markers and antioxidants in the placenta of preeclamptic patients J. Obstet. Gynaecol]]></article-title>
<source><![CDATA[Res]]></source>
<year>2010</year>
<volume>36</volume>
<numero>6</numero>
<issue>6</issue>
<page-range>1189-94</page-range></nlm-citation>
</ref>
<ref id="B4">
<label>4</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[González]]></surname>
<given-names><![CDATA[MJ]]></given-names>
</name>
<name>
<surname><![CDATA[Bosco]]></surname>
<given-names><![CDATA[BC]]></given-names>
</name>
<name>
<surname><![CDATA[Rodrigo]]></surname>
<given-names><![CDATA[SR]]></given-names>
</name>
<name>
<surname><![CDATA[Parra]]></surname>
<given-names><![CDATA[CM]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[VEGF en capa muscular de vasos placentarios: Expresión en Pre-eclampsia y asociación con Status Antioxidante]]></article-title>
<source><![CDATA[Chile: Rev. ANACEM]]></source>
<year>2010</year>
<volume>4</volume>
</nlm-citation>
</ref>
<ref id="B5">
<label>5</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Akolekar]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Syngelaki]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Poon]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Wright]]></surname>
<given-names><![CDATA[D]]></given-names>
</name>
<name>
<surname><![CDATA[Nicolaides]]></surname>
<given-names><![CDATA[KH]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Competing Risks Model in Early Screening for Preeclampsia by Biophysical and Biochemical]]></article-title>
<source><![CDATA[Markers Fetal Diagn Ther]]></source>
<year>2013</year>
<volume>33</volume>
<page-range>8-15</page-range></nlm-citation>
</ref>
<ref id="B6">
<label>6</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Merchante]]></surname>
<given-names><![CDATA[LFS]]></given-names>
</name>
<name>
<surname><![CDATA[Grandvalet]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Govaert]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[An efficient approach to sparse linear discriminant analysis]]></article-title>
<source><![CDATA[ArXiv preprint arXiv]]></source>
<year>2012</year>
<page-range>1206-6472</page-range></nlm-citation>
</ref>
<ref id="B7">
<label>7</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ebrahimzadeh]]></surname>
<given-names><![CDATA[F]]></given-names>
</name>
<name>
<surname><![CDATA[Hajizadeh]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
<name>
<surname><![CDATA[Vahabi]]></surname>
<given-names><![CDATA[N]]></given-names>
</name>
<name>
<surname><![CDATA[Almasian]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Bakhteyar]]></surname>
<given-names><![CDATA[K]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Prediction of unwanted pregnancies using logistic regression, probity regression and discriminant analysis]]></article-title>
<source><![CDATA[Med J Islam Repub Iran]]></source>
<year>2015</year>
<volume>29</volume>
<page-range>264</page-range></nlm-citation>
</ref>
<ref id="B8">
<label>8</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Gunay]]></surname>
<given-names><![CDATA[B]]></given-names>
</name>
<name>
<surname><![CDATA[Parlatan]]></surname>
<given-names><![CDATA[U]]></given-names>
</name>
<name>
<surname><![CDATA[Seyma]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Gunel]]></surname>
<given-names><![CDATA[T]]></given-names>
</name>
<name>
<surname><![CDATA[Benian]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Kalelioglu]]></surname>
<given-names><![CDATA[I]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Investigation of Preeclampsia Using Raman Spectroscopy]]></article-title>
<source><![CDATA[Hindawi Publishing Corporation Spectroscopy: An International Journal]]></source>
<year>2012</year>
<volume>27</volume>
<page-range>239-52</page-range></nlm-citation>
</ref>
<ref id="B9">
<label>9</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Atamer]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Kocyigit]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Yokus]]></surname>
<given-names><![CDATA[B]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Lipid peroxidation, antioxidante defense, status of tracemetals and leptin levels in preeclampsia]]></article-title>
<source><![CDATA[Eur J Obstet Gynecol Reprod Biol]]></source>
<year>2005</year>
<volume>119</volume>
<page-range>60-6</page-range></nlm-citation>
</ref>
<ref id="B10">
<label>10</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ecobichon]]></surname>
<given-names><![CDATA[DJ]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Glutathione depletion and resynthesys in laboratory animals]]></article-title>
<source><![CDATA[Drug Chem Toxicol]]></source>
<year>1984</year>
<volume>7</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>345-65</page-range></nlm-citation>
</ref>
<ref id="B11">
<label>11</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lujan]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Gil]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Martínez]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
<name>
<surname><![CDATA[Giuliani]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[González]]></surname>
<given-names><![CDATA[I]]></given-names>
</name>
<name>
<surname><![CDATA[Tarinas]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Effects of increase micronutrients intake on oxidative stress indicators in HIV/AIDS patients]]></article-title>
<source><![CDATA[Int J Vit Nut Res]]></source>
<year>2005</year>
<volume>75</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>19-27</page-range></nlm-citation>
</ref>
<ref id="B12">
<label>12</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Esterbauer]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
<name>
<surname><![CDATA[Cheeseman]]></surname>
<given-names><![CDATA[KH]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Determination of aldehyd lipid peroxidation products malonaldehyde and 4-hydroxynonenal]]></article-title>
<source><![CDATA[Meth Enzymol]]></source>
<year>1990</year>
<volume>186</volume>
<page-range>407-21</page-range></nlm-citation>
</ref>
<ref id="B13">
<label>13</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Brereton]]></surname>
<given-names><![CDATA[RG]]></given-names>
</name>
</person-group>
<source><![CDATA[Applied Chemometrics for Scientists]]></source>
<year>2007</year>
<publisher-loc><![CDATA[John Wiley &amp; Sons ]]></publisher-loc>
<publisher-name><![CDATA[Chichester UK]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B14">
<label>14</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zhi-Hua]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Jian-Hua]]></surname>
<given-names><![CDATA[Y]]></given-names>
</name>
<name>
<surname><![CDATA[Xue-Xi]]></surname>
<given-names><![CDATA[Z]]></given-names>
</name>
<name>
<surname><![CDATA[Xiao]]></surname>
<given-names><![CDATA[W]]></given-names>
</name>
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[X]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Discrimination of healthyand osteoarthritic articular cartilage by Fourier transform infrared imaging and Fisher's discriminant analysis]]></article-title>
<source><![CDATA[Biomedical Optics Express]]></source>
<year>2016</year>
<volume>7</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>59-67</page-range></nlm-citation>
</ref>
<ref id="B15">
<label>15</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Atiba]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Abbiyesuku]]></surname>
<given-names><![CDATA[F]]></given-names>
</name>
<name>
<surname><![CDATA[Oparinde]]></surname>
<given-names><![CDATA[DP]]></given-names>
</name>
<name>
<surname><![CDATA[Niran-Atiba]]></surname>
<given-names><![CDATA[T]]></given-names>
</name>
<name>
<surname><![CDATA[Akindele]]></surname>
<given-names><![CDATA[RA]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Plasma Malondialdehyde (MDA): An Indication of Liver Damage in Women with Pre-eclampsia]]></article-title>
<source><![CDATA[Ethiop J Health Sci]]></source>
<year>2016</year>
<volume>26</volume>
<numero>5</numero>
<issue>5</issue>
</nlm-citation>
</ref>
<ref id="B16">
<label>16</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kaur]]></surname>
<given-names><![CDATA[G]]></given-names>
</name>
<name>
<surname><![CDATA[Mishra]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
<name>
<surname><![CDATA[Sehgal]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Prasad]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Alterations in lipid peroxidation and antioxidant statusin pregnancy with preeclampsia]]></article-title>
<source><![CDATA[Mol Cell Biochem]]></source>
<year>2008</year>
<volume>313</volume>
<page-range>37-44</page-range></nlm-citation>
</ref>
<ref id="B17">
<label>17</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cruz]]></surname>
<given-names><![CDATA[H]]></given-names>
</name>
<name>
<surname><![CDATA[León]]></surname>
<given-names><![CDATA[M]]></given-names>
</name>
<name>
<surname><![CDATA[Caceres]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[López]]></surname>
<given-names><![CDATA[R]]></given-names>
</name>
<name>
<surname><![CDATA[Álvarez]]></surname>
<given-names><![CDATA[E]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Análisis Multivariado a partir del estado redox asociado a la Pre-eclampsia]]></article-title>
<source><![CDATA[Revista Cubana de Obstetricia y Ginecología]]></source>
<year>2017</year>
<volume>43</volume>
<numero>3</numero>
<issue>3</issue>
</nlm-citation>
</ref>
<ref id="B18">
<label>18</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Malihe]]></surname>
<given-names><![CDATA[N]]></given-names>
</name>
<name>
<surname><![CDATA[Soghrat]]></surname>
<given-names><![CDATA[F]]></given-names>
</name>
<name>
<surname><![CDATA[Hamid]]></surname>
<given-names><![CDATA[A]]></given-names>
</name>
<name>
<surname><![CDATA[Farid]]></surname>
<given-names><![CDATA[Z]]></given-names>
</name>
<name>
<surname><![CDATA[Noorosadat]]></surname>
<given-names><![CDATA[K]]></given-names>
</name>
<name>
<surname><![CDATA[Nastaran]]></surname>
<given-names><![CDATA[S]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Longitudinal Discriminant Analysis of Hemoglobin Level for Predicting Pre-eclampsia]]></article-title>
<source><![CDATA[Iran Red Crescent Med J]]></source>
<year>2015</year>
<volume>17</volume>
<numero>3</numero>
<issue>3</issue>
</nlm-citation>
</ref>
<ref id="B19">
<label>19</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Braun]]></surname>
<given-names><![CDATA[KP]]></given-names>
</name>
<name>
<surname><![CDATA[Gant]]></surname>
<given-names><![CDATA[NF]]></given-names>
</name>
<name>
<surname><![CDATA[Olson]]></surname>
<given-names><![CDATA[CM]]></given-names>
</name>
<name>
<surname><![CDATA[Parisi]]></surname>
<given-names><![CDATA[V]]></given-names>
</name>
<name>
<surname><![CDATA[Forrest]]></surname>
<given-names><![CDATA[KA]]></given-names>
</name>
<name>
<surname><![CDATA[Peterson]]></surname>
<given-names><![CDATA[CM]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A discriminant function for preeclampsia case-control study of minor hemoglobins, red cell enzymes, and clinical laboratory values]]></article-title>
<source><![CDATA[Am J Perinatol]]></source>
<year>1997</year>
<volume>14</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>297-302</page-range></nlm-citation>
</ref>
<ref id="B20">
<label>20</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Baschat]]></surname>
<given-names><![CDATA[AA]]></given-names>
</name>
<name>
<surname><![CDATA[Magder]]></surname>
<given-names><![CDATA[LS]]></given-names>
</name>
<name>
<surname><![CDATA[Doyle]]></surname>
<given-names><![CDATA[LE]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Prediction of preeclampsia utilizing the first trimester screening examination]]></article-title>
<source><![CDATA[Am J Obstet Gynecol]]></source>
<year>2014</year>
<volume>211</volume>
<page-range>514</page-range></nlm-citation>
</ref>
<ref id="B21">
<label>21</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Carrillo]]></surname>
<given-names><![CDATA[ER]]></given-names>
</name>
<name>
<surname><![CDATA[Sánchez]]></surname>
<given-names><![CDATA[ZM]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Bases moleculares de la pre-eclampsia- eclampsia]]></article-title>
<source><![CDATA[Rev Invest Med Sur Mex]]></source>
<year>2013</year>
<volume>20</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>103-9</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
