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Detecting Preeclampsia Severity Using Maternal-Obstetrical Characteristics and Complete Blood Cell Counts
PURPOSE: This study aimed to use the combination of maternal-obstetrical characteristics (MOCs) and complete blood cell counts (CBCs) with different red blood cell (RBC) indices as an alternative tool to detect preeclampsia (PE) severity immediately before delivery. PATIENTS AND METHODS: This retros...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9793784/ https://www.ncbi.nlm.nih.gov/pubmed/36582253 http://dx.doi.org/10.2147/IJGM.S392915 |
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author | Lu, Hsiao-Wen Hsu, Han-Shui |
author_facet | Lu, Hsiao-Wen Hsu, Han-Shui |
author_sort | Lu, Hsiao-Wen |
collection | PubMed |
description | PURPOSE: This study aimed to use the combination of maternal-obstetrical characteristics (MOCs) and complete blood cell counts (CBCs) with different red blood cell (RBC) indices as an alternative tool to detect preeclampsia (PE) severity immediately before delivery. PATIENTS AND METHODS: This retrospective study included all singleton pregnancies delivered after 24 weeks of gestation from April 2016 to April 2020. Patients were divided into four different groups: non-hypertensive (NH), gestational hypertension (GH), PE, and severe PE (SPE). Univariate and forward stepwise multivariate logistic regression analysis was conducted using MOCs, CBCs, and RBC indices. The calculation was performed between SPE and other non-hypertensive and hypertensive (GH, PE) groups. Moreover, the area under the curve (AUC) for the receiver operating characteristic curve, sensitivity, and specificity were estimated. RESULTS: The combined variables for differentiating SPE from NH were maternal age >29.5 years, weight >27.24, gestational age <272 days at the time of blood withdrawal, platelet count <217.5×103/μL, Srivastava indices <6.35, and Siradah indices <43.02 (AUC, 0.834; 95% confidence interval [CI], 0.773–0.895). The combined variables for differentiating SPE from GH were maternal age >29.5 years, body mass index >25.28, gestational age <268.5 days at the time of blood withdrawal, mean corpuscular volume <78.85 fL, and platelet count <234.5×103/μL (AUC, 0777; 95% CI, 0.703–0.852). The combined variables for differentiating SPE from PE were maternal age >32.5 years, mean corpuscular hemoglobin concentration >34.55 g/dL, and Siradah indices <40.05 (AUC, 0.745; 95% CI, 0.656–0.833). CONCLUSION: The combination of selected variables from MOCs and CBCs with RBC indices before delivery showed satisfactory results for detecting PE severity. |
format | Online Article Text |
id | pubmed-9793784 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-97937842022-12-28 Detecting Preeclampsia Severity Using Maternal-Obstetrical Characteristics and Complete Blood Cell Counts Lu, Hsiao-Wen Hsu, Han-Shui Int J Gen Med Original Research PURPOSE: This study aimed to use the combination of maternal-obstetrical characteristics (MOCs) and complete blood cell counts (CBCs) with different red blood cell (RBC) indices as an alternative tool to detect preeclampsia (PE) severity immediately before delivery. PATIENTS AND METHODS: This retrospective study included all singleton pregnancies delivered after 24 weeks of gestation from April 2016 to April 2020. Patients were divided into four different groups: non-hypertensive (NH), gestational hypertension (GH), PE, and severe PE (SPE). Univariate and forward stepwise multivariate logistic regression analysis was conducted using MOCs, CBCs, and RBC indices. The calculation was performed between SPE and other non-hypertensive and hypertensive (GH, PE) groups. Moreover, the area under the curve (AUC) for the receiver operating characteristic curve, sensitivity, and specificity were estimated. RESULTS: The combined variables for differentiating SPE from NH were maternal age >29.5 years, weight >27.24, gestational age <272 days at the time of blood withdrawal, platelet count <217.5×103/μL, Srivastava indices <6.35, and Siradah indices <43.02 (AUC, 0.834; 95% confidence interval [CI], 0.773–0.895). The combined variables for differentiating SPE from GH were maternal age >29.5 years, body mass index >25.28, gestational age <268.5 days at the time of blood withdrawal, mean corpuscular volume <78.85 fL, and platelet count <234.5×103/μL (AUC, 0777; 95% CI, 0.703–0.852). The combined variables for differentiating SPE from PE were maternal age >32.5 years, mean corpuscular hemoglobin concentration >34.55 g/dL, and Siradah indices <40.05 (AUC, 0.745; 95% CI, 0.656–0.833). CONCLUSION: The combination of selected variables from MOCs and CBCs with RBC indices before delivery showed satisfactory results for detecting PE severity. Dove 2022-12-23 /pmc/articles/PMC9793784/ /pubmed/36582253 http://dx.doi.org/10.2147/IJGM.S392915 Text en © 2022 Lu and Hsu. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Lu, Hsiao-Wen Hsu, Han-Shui Detecting Preeclampsia Severity Using Maternal-Obstetrical Characteristics and Complete Blood Cell Counts |
title | Detecting Preeclampsia Severity Using Maternal-Obstetrical Characteristics and Complete Blood Cell Counts |
title_full | Detecting Preeclampsia Severity Using Maternal-Obstetrical Characteristics and Complete Blood Cell Counts |
title_fullStr | Detecting Preeclampsia Severity Using Maternal-Obstetrical Characteristics and Complete Blood Cell Counts |
title_full_unstemmed | Detecting Preeclampsia Severity Using Maternal-Obstetrical Characteristics and Complete Blood Cell Counts |
title_short | Detecting Preeclampsia Severity Using Maternal-Obstetrical Characteristics and Complete Blood Cell Counts |
title_sort | detecting preeclampsia severity using maternal-obstetrical characteristics and complete blood cell counts |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9793784/ https://www.ncbi.nlm.nih.gov/pubmed/36582253 http://dx.doi.org/10.2147/IJGM.S392915 |
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