Detecting Preeclampsia Severity Using Maternal-Obstetrical Characteristics and Complete Blood Cell Counts
Hsiao-Wen Lu,1,2 Han-Shui Hsu2 1Department of Obstetrics and Gynecology, Cardinal Tien Hospital, New Taipei City, Taiwan; 2Institute of Emergency and Critical Care Medicine, School of Medicine, National Yang Ming Chiao Tung University, Taipei, TaiwanCorrespondence: Han-Shui Hsu, Institute of Emergen...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Dove Medical Press
2022-12-01
|
| Series: | International Journal of General Medicine |
| Subjects: | |
| Online Access: | https://www.dovepress.com/detecting-preeclampsia-severity-using-maternal-obstetrical-characteris-peer-reviewed-fulltext-article-IJGM |
| _version_ | 1797975973600165888 |
|---|---|
| author | Lu HW Hsu HS |
| author_facet | Lu HW Hsu HS |
| author_sort | Lu HW |
| collection | DOAJ |
| description | Hsiao-Wen Lu,1,2 Han-Shui Hsu2 1Department of Obstetrics and Gynecology, Cardinal Tien Hospital, New Taipei City, Taiwan; 2Institute of Emergency and Critical Care Medicine, School of Medicine, National Yang Ming Chiao Tung University, Taipei, TaiwanCorrespondence: Han-Shui Hsu, Institute of Emergency and Critical Care Medicine, School of Medicine, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Linong St, Beitou Dist, Taipei, 112, Taiwan, Tel +886-2-22875-7546, Email hsuhs@vghtpe.gov.twPurpose: 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.Keywords: hypertension, pregnancy, preeclampsia, preeclampsia severity, complete blood counts |
| first_indexed | 2024-04-11T04:43:54Z |
| format | Article |
| id | doaj.art-eb28863b5c2342b9926608b1140c6dcb |
| institution | Directory Open Access Journal |
| issn | 1178-7074 |
| language | English |
| last_indexed | 2024-04-11T04:43:54Z |
| publishDate | 2022-12-01 |
| publisher | Dove Medical Press |
| record_format | Article |
| series | International Journal of General Medicine |
| spelling | doaj.art-eb28863b5c2342b9926608b1140c6dcb2022-12-27T17:34:40ZengDove Medical PressInternational Journal of General Medicine1178-70742022-12-01Volume 158715872680592Detecting Preeclampsia Severity Using Maternal-Obstetrical Characteristics and Complete Blood Cell CountsLu HWHsu HSHsiao-Wen Lu,1,2 Han-Shui Hsu2 1Department of Obstetrics and Gynecology, Cardinal Tien Hospital, New Taipei City, Taiwan; 2Institute of Emergency and Critical Care Medicine, School of Medicine, National Yang Ming Chiao Tung University, Taipei, TaiwanCorrespondence: Han-Shui Hsu, Institute of Emergency and Critical Care Medicine, School of Medicine, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Linong St, Beitou Dist, Taipei, 112, Taiwan, Tel +886-2-22875-7546, Email hsuhs@vghtpe.gov.twPurpose: 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.Keywords: hypertension, pregnancy, preeclampsia, preeclampsia severity, complete blood countshttps://www.dovepress.com/detecting-preeclampsia-severity-using-maternal-obstetrical-characteris-peer-reviewed-fulltext-article-IJGMhypertensionpregnancypreeclampsiapreeclampsia severitycomplete blood counts |
| spellingShingle | Lu HW Hsu HS Detecting Preeclampsia Severity Using Maternal-Obstetrical Characteristics and Complete Blood Cell Counts International Journal of General Medicine hypertension pregnancy preeclampsia preeclampsia severity complete blood 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 | hypertension pregnancy preeclampsia preeclampsia severity complete blood counts |
| url | https://www.dovepress.com/detecting-preeclampsia-severity-using-maternal-obstetrical-characteris-peer-reviewed-fulltext-article-IJGM |
| work_keys_str_mv | AT luhw detectingpreeclampsiaseverityusingmaternalobstetricalcharacteristicsandcompletebloodcellcounts AT hsuhs detectingpreeclampsiaseverityusingmaternalobstetricalcharacteristicsandcompletebloodcellcounts |