A pattern of platelet indices as a potential marker for prediction of pre-eclampsia among pregnant women attending a Tertiary Hospital, Ethiopia: A case-control study
Preeclampsia is the most serious health risk during pregnancy for both the mother and the fetus. Even though platelet parameters are among the proposed biomarkers for the prediction of preeclampsia, the use of its indices in the diagnosis of preeclampsia is not increasing in Ethiopia. There is littl...
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| description | Preeclampsia is the most serious health risk during pregnancy for both the mother and the fetus. Even though platelet parameters are among the proposed biomarkers for the prediction of preeclampsia, the use of its indices in the diagnosis of preeclampsia is not increasing in Ethiopia. There is little information on platelet patterns in preeclampsia and normal pregnancy. The purpose of this study was to determine the pattern of platelet indices in women with preeclampsia in our study setting.
A case-control study was conducted among 180 pregnant women who attended anti-natal follow-ups from January 1 to April 3, 2019. An Ethylene Diamine Tetra Acetic Acid anti-coagulated venous blood was collected and analyzed using a hematology analyzer (MINDRAY®-BC-300Plus, Shenzhen China). The SPSS software version 26 was used to run the Mann Whitney U test, Kruskal-Wallis H test, and Kolmogorov-Smirnov normality test, Post-hock test augmented with Benforeni, receiver operating characteristics curve, and Spear Man rank-order correlation. A P-value of |
| doi_str_mv | 10.1371/journal.pone.0259543 |
| format | Article |
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A case-control study was conducted among 180 pregnant women who attended anti-natal follow-ups from January 1 to April 3, 2019. An Ethylene Diamine Tetra Acetic Acid anti-coagulated venous blood was collected and analyzed using a hematology analyzer (MINDRAY®-BC-300Plus, Shenzhen China). The SPSS software version 26 was used to run the Mann Whitney U test, Kruskal-Wallis H test, and Kolmogorov-Smirnov normality test, Post-hock test augmented with Benforeni, receiver operating characteristics curve, and Spear Man rank-order correlation. A P-value of <0.05 was considered statistically significant.
A total of 180 pregnant women were included in the study. Platelet count and platelet crit levels tend to decrease as pre-eclampsia becomes more severe. In contrast, the mean platelet volume and platelet distribution widths were significantly increased with the severity of preeclampsia (P<0.001). Platelet distribution width (rho = 0.731, p<0.001) and mean platelet volume (rho = 0.674, p<0.001) had statistically significant positive relationships with mean arterial pressure. The best metric for predicting preeclampsia was platelet distribution width (AUC = 0.986; 95%CI; 0.970, 1).
Platelet indices, including platelet count, mean platelet volume, platelet distribution width, and Platelet crit, have been identified as promising candidate markers for predicting preeclampsia in pregnant women. In the future, a serial examination of these indicators during several trimesters of pregnancy should be conducted.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0259543</identifier><identifier>PMID: 34752500</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Acetic acid ; Adult ; Analysis ; Biological markers ; Biology and Life Sciences ; Biomarkers ; Biomarkers - blood ; Blood coagulation ; Blood platelets ; Blood Platelets - pathology ; Blood pressure ; Case studies ; Case-Control Studies ; Diagnosis ; Diamines ; Edema ; Ethiopia - epidemiology ; Fatalities ; Female ; Fetuses ; Health aspects ; Health risks ; Health sciences ; Hematology ; Hospitals ; Humans ; Hypertension ; Maternal mortality ; Mean Platelet Volume ; Medical laboratories ; Medical referrals ; Medicine and Health Sciences ; Platelet Count ; Platelets ; Pre-eclampsia ; Pre-Eclampsia - blood ; Pre-Eclampsia - diagnosis ; Preeclampsia ; Pregnancy ; Pregnant women ; Proteins ; ROC Curve ; Statistical analysis ; Tertiary ; Tertiary Care Centers ; Womens health ; Young Adult</subject><ispartof>PloS one, 2021-11, Vol.16 (11), p.e0259543</ispartof><rights>COPYRIGHT 2021 Public Library of Science</rights><rights>2021 Bawore et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2021 Bawore et al 2021 Bawore et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-670b6f6be44c6c136191c9b5706b15ab1cb817c5b87269b34b6c4108c9f936c33</citedby><cites>FETCH-LOGICAL-c692t-670b6f6be44c6c136191c9b5706b15ab1cb817c5b87269b34b6c4108c9f936c33</cites><orcidid>0000-0003-1624-3114</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8577759/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8577759/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2095,2914,23846,27903,27904,53769,53771,79346,79347</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34752500$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Xie, Linglin</contributor><creatorcontrib>Bawore, Solomon Gebre</creatorcontrib><creatorcontrib>Adissu, Wondimagegn</creatorcontrib><creatorcontrib>Niguse, Berhanu</creatorcontrib><creatorcontrib>Larebo, Yilma Markos</creatorcontrib><creatorcontrib>Ermolo, Nigussie Abebe</creatorcontrib><creatorcontrib>Gedefaw, Lealem</creatorcontrib><title>A pattern of platelet indices as a potential marker for prediction of pre-eclampsia among pregnant women attending a Tertiary Hospital, Ethiopia: A case-control study</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Preeclampsia is the most serious health risk during pregnancy for both the mother and the fetus. Even though platelet parameters are among the proposed biomarkers for the prediction of preeclampsia, the use of its indices in the diagnosis of preeclampsia is not increasing in Ethiopia. There is little information on platelet patterns in preeclampsia and normal pregnancy. The purpose of this study was to determine the pattern of platelet indices in women with preeclampsia in our study setting.
A case-control study was conducted among 180 pregnant women who attended anti-natal follow-ups from January 1 to April 3, 2019. An Ethylene Diamine Tetra Acetic Acid anti-coagulated venous blood was collected and analyzed using a hematology analyzer (MINDRAY®-BC-300Plus, Shenzhen China). The SPSS software version 26 was used to run the Mann Whitney U test, Kruskal-Wallis H test, and Kolmogorov-Smirnov normality test, Post-hock test augmented with Benforeni, receiver operating characteristics curve, and Spear Man rank-order correlation. A P-value of <0.05 was considered statistically significant.
A total of 180 pregnant women were included in the study. Platelet count and platelet crit levels tend to decrease as pre-eclampsia becomes more severe. In contrast, the mean platelet volume and platelet distribution widths were significantly increased with the severity of preeclampsia (P<0.001). Platelet distribution width (rho = 0.731, p<0.001) and mean platelet volume (rho = 0.674, p<0.001) had statistically significant positive relationships with mean arterial pressure. The best metric for predicting preeclampsia was platelet distribution width (AUC = 0.986; 95%CI; 0.970, 1).
Platelet indices, including platelet count, mean platelet volume, platelet distribution width, and Platelet crit, have been identified as promising candidate markers for predicting preeclampsia in pregnant women. In the future, a serial examination of these indicators during several trimesters of pregnancy should be conducted.</description><subject>Acetic acid</subject><subject>Adult</subject><subject>Analysis</subject><subject>Biological markers</subject><subject>Biology and Life Sciences</subject><subject>Biomarkers</subject><subject>Biomarkers - blood</subject><subject>Blood coagulation</subject><subject>Blood platelets</subject><subject>Blood Platelets - pathology</subject><subject>Blood pressure</subject><subject>Case studies</subject><subject>Case-Control Studies</subject><subject>Diagnosis</subject><subject>Diamines</subject><subject>Edema</subject><subject>Ethiopia - epidemiology</subject><subject>Fatalities</subject><subject>Female</subject><subject>Fetuses</subject><subject>Health aspects</subject><subject>Health risks</subject><subject>Health sciences</subject><subject>Hematology</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Maternal mortality</subject><subject>Mean Platelet Volume</subject><subject>Medical laboratories</subject><subject>Medical referrals</subject><subject>Medicine and Health Sciences</subject><subject>Platelet Count</subject><subject>Platelets</subject><subject>Pre-eclampsia</subject><subject>Pre-Eclampsia - blood</subject><subject>Pre-Eclampsia - diagnosis</subject><subject>Preeclampsia</subject><subject>Pregnancy</subject><subject>Pregnant women</subject><subject>Proteins</subject><subject>ROC Curve</subject><subject>Statistical analysis</subject><subject>Tertiary</subject><subject>Tertiary Care Centers</subject><subject>Womens health</subject><subject>Young Adult</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk2GL1DAQhoso3nn6D0QDgii4a9I0SesHYTlOb-HgQE-_hjSd7mZNm16SqveH_J2mt3vHrdwHaaFl8sw7nXc6Wfac4DmhgrzfuNH3ys4H18Mc56xiBX2QHZKK5jOeY_rwzvtB9iSEDcaMlpw_zg5oIVjOMD7M_izQoGIE3yPXosGqCBYiMn1jNASk0o0GF6GPRlnUKf8DPGqdR4OHhETjtokeZqCt6oZgFFKd61dTbNWrPqJfroMeTVWSajpQ6AJ80vNX6NSFwURl36GTuDZuMOoDWiCtAsy066N3FoU4NldPs0etsgGe7Z5H2bdPJxfHp7Oz88_L48XZTPMqjzMucM1bXkNRaK4J5aQiuqqZwLwmTNVE1yURmtWlyHlV06LmuiC41FVbUa4pPcpebnUH64LcWRzk5C7LK8ZJIpZbonFqIwdvkidX0ikjrwPOr6RKzWkLshaYUiyoxo0ocspKAk3Z1liAIHmlyqT1cVdtrDtodHLZK7snun_Sm7VcuZ-yZEIIViWBNzsB7y5HCFF2JmiwVvXgxuvv5pgwVkzoq3_Q-7vbUSuVGjB961JdPYnKBU_WidQET9T8HipdDXQmzQ1ak-J7CW_3EqbZwu-4UmMIcvn1y_-z59_32dd32DUoG9fB2XH6LcM-WGxB7V0IHtpbkwmW0zrduCGndZK7dUppL-4O6DbpZn_oX4KRG9A</recordid><startdate>20211109</startdate><enddate>20211109</enddate><creator>Bawore, Solomon Gebre</creator><creator>Adissu, Wondimagegn</creator><creator>Niguse, Berhanu</creator><creator>Larebo, Yilma Markos</creator><creator>Ermolo, Nigussie Abebe</creator><creator>Gedefaw, Lealem</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-1624-3114</orcidid></search><sort><creationdate>20211109</creationdate><title>A pattern of platelet indices as a potential marker for prediction of pre-eclampsia among pregnant women attending a Tertiary Hospital, Ethiopia: A case-control study</title><author>Bawore, Solomon Gebre ; Adissu, Wondimagegn ; Niguse, Berhanu ; Larebo, Yilma Markos ; Ermolo, Nigussie Abebe ; Gedefaw, Lealem</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-670b6f6be44c6c136191c9b5706b15ab1cb817c5b87269b34b6c4108c9f936c33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Acetic acid</topic><topic>Adult</topic><topic>Analysis</topic><topic>Biological markers</topic><topic>Biology and Life Sciences</topic><topic>Biomarkers</topic><topic>Biomarkers - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bawore, Solomon Gebre</au><au>Adissu, Wondimagegn</au><au>Niguse, Berhanu</au><au>Larebo, Yilma Markos</au><au>Ermolo, Nigussie Abebe</au><au>Gedefaw, Lealem</au><au>Xie, Linglin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A pattern of platelet indices as a potential marker for prediction of pre-eclampsia among pregnant women attending a Tertiary Hospital, Ethiopia: A case-control study</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2021-11-09</date><risdate>2021</risdate><volume>16</volume><issue>11</issue><spage>e0259543</spage><pages>e0259543-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Preeclampsia is the most serious health risk during pregnancy for both the mother and the fetus. Even though platelet parameters are among the proposed biomarkers for the prediction of preeclampsia, the use of its indices in the diagnosis of preeclampsia is not increasing in Ethiopia. There is little information on platelet patterns in preeclampsia and normal pregnancy. The purpose of this study was to determine the pattern of platelet indices in women with preeclampsia in our study setting.
A case-control study was conducted among 180 pregnant women who attended anti-natal follow-ups from January 1 to April 3, 2019. An Ethylene Diamine Tetra Acetic Acid anti-coagulated venous blood was collected and analyzed using a hematology analyzer (MINDRAY®-BC-300Plus, Shenzhen China). The SPSS software version 26 was used to run the Mann Whitney U test, Kruskal-Wallis H test, and Kolmogorov-Smirnov normality test, Post-hock test augmented with Benforeni, receiver operating characteristics curve, and Spear Man rank-order correlation. A P-value of <0.05 was considered statistically significant.
A total of 180 pregnant women were included in the study. Platelet count and platelet crit levels tend to decrease as pre-eclampsia becomes more severe. In contrast, the mean platelet volume and platelet distribution widths were significantly increased with the severity of preeclampsia (P<0.001). Platelet distribution width (rho = 0.731, p<0.001) and mean platelet volume (rho = 0.674, p<0.001) had statistically significant positive relationships with mean arterial pressure. The best metric for predicting preeclampsia was platelet distribution width (AUC = 0.986; 95%CI; 0.970, 1).
Platelet indices, including platelet count, mean platelet volume, platelet distribution width, and Platelet crit, have been identified as promising candidate markers for predicting preeclampsia in pregnant women. In the future, a serial examination of these indicators during several trimesters of pregnancy should be conducted.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>34752500</pmid><doi>10.1371/journal.pone.0259543</doi><tpages>e0259543</tpages><orcidid>https://orcid.org/0000-0003-1624-3114</orcidid><oa>free_for_read</oa></addata></record> |
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| recordid | cdi_plos_journals_2595529561 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
| subjects | Acetic acid Adult Analysis Biological markers Biology and Life Sciences Biomarkers Biomarkers - blood Blood coagulation Blood platelets Blood Platelets - pathology Blood pressure Case studies Case-Control Studies Diagnosis Diamines Edema Ethiopia - epidemiology Fatalities Female Fetuses Health aspects Health risks Health sciences Hematology Hospitals Humans Hypertension Maternal mortality Mean Platelet Volume Medical laboratories Medical referrals Medicine and Health Sciences Platelet Count Platelets Pre-eclampsia Pre-Eclampsia - blood Pre-Eclampsia - diagnosis Preeclampsia Pregnancy Pregnant women Proteins ROC Curve Statistical analysis Tertiary Tertiary Care Centers Womens health Young Adult |
| title | A pattern of platelet indices as a potential marker for prediction of pre-eclampsia among pregnant women attending a Tertiary Hospital, Ethiopia: A case-control study |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T04%3A02%3A06IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20pattern%20of%20platelet%20indices%20as%20a%20potential%20marker%20for%20prediction%20of%20pre-eclampsia%20among%20pregnant%20women%20attending%20a%20Tertiary%20Hospital,%20Ethiopia:%20A%20case-control%20study&rft.jtitle=PloS%20one&rft.au=Bawore,%20Solomon%20Gebre&rft.date=2021-11-09&rft.volume=16&rft.issue=11&rft.spage=e0259543&rft.pages=e0259543-&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0259543&rft_dat=%3Cgale_plos_%3EA681775816%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2595529561&rft_id=info:pmid/34752500&rft_galeid=A681775816&rft_doaj_id=oai_doaj_org_article_b7033073c0d7423581ed8fb07e7129a8&rfr_iscdi=true |