Prediction of Pregnancy-Associated Hypertension Using a Scoring System: A Multicenter Cohort Study
This study aimed to develop an early pregnancy risk scoring model for pregnancy-associated hypertension (PAH) based on maternal pre-pregnancy characteristics, such as mean arterial pressure (MAP), pregnancy-associated plasma protein-A (PAPP-A) or neither. The perinatal databases of seven hospitals f...
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| Format: | Article |
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MDPI AG
2023-06-01
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| Series: | Life |
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| Online Access: | https://www.mdpi.com/2075-1729/13/6/1330 |
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| author | Yun Sung Jo Woo Jeng Kim Sae Kyung Choi Su Mi Kim Jae Eun Shin Ki Cheol Kil Yeon Hee Kim Jeong Ha Wie Han Wool Kim Subeen Hong Hyun Sun Ko |
| author_facet | Yun Sung Jo Woo Jeng Kim Sae Kyung Choi Su Mi Kim Jae Eun Shin Ki Cheol Kil Yeon Hee Kim Jeong Ha Wie Han Wool Kim Subeen Hong Hyun Sun Ko |
| author_sort | Yun Sung Jo |
| collection | DOAJ |
| description | This study aimed to develop an early pregnancy risk scoring model for pregnancy-associated hypertension (PAH) based on maternal pre-pregnancy characteristics, such as mean arterial pressure (MAP), pregnancy-associated plasma protein-A (PAPP-A) or neither. The perinatal databases of seven hospitals from January 2009 to December 2020 were randomly divided into a training set and a test set at a ratio of 70:30. The data of a total pregnant restricted population (women not taking aspirin during pregnancy) were analyzed separately. Three models (model 1, pre-pregnancy factors only; model 2, adding MAP; model 3, adding MAP and PAPP-A) and the American College of Obstetricians and Gynecologists (ACOG) risk factors model were compared. A total of 2840 (8.11%) and 1550 (3.3%) women subsequently developed PAH and preterm PAH, respectively. Performances of models 2 and 3 with areas under the curve (AUC) over 0.82 in both total population and restricted population were superior to those of model 1 (with AUCs of 0.75 and 0.748, respectively) and the ACOG risk model (with AUCs of 0.66 and 0.66) for predicting PAH and preterm PAH. The final scoring system with model 2 for predicting PAH and preterm PAH showed moderate to good performance (AUCs of 0.78 and 0.79, respectively) in the test set. “A risk scoring model for PAH and preterm PAH with pre-pregnancy factors and MAP showed moderate to high performances. Further prospective studies for validating this scoring model with biomarkers and uterine artery Doppler or without them might be required”. |
| first_indexed | 2024-03-11T02:14:24Z |
| format | Article |
| id | doaj.art-63325fc7489b4d7aa0b5217d6b9bd108 |
| institution | Directory Open Access Journal |
| issn | 2075-1729 |
| language | English |
| last_indexed | 2024-03-11T02:14:24Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Life |
| spelling | doaj.art-63325fc7489b4d7aa0b5217d6b9bd1082023-11-18T11:17:48ZengMDPI AGLife2075-17292023-06-01136133010.3390/life13061330Prediction of Pregnancy-Associated Hypertension Using a Scoring System: A Multicenter Cohort StudyYun Sung Jo0Woo Jeng Kim1Sae Kyung Choi2Su Mi Kim3Jae Eun Shin4Ki Cheol Kil5Yeon Hee Kim6Jeong Ha Wie7Han Wool Kim8Subeen Hong9Hyun Sun Ko10Department of Obstetrics and Gynecology, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of KoreaDepartment of Obstetrics and Gynecology, Incheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of KoreaDepartment of Obstetrics and Gynecology, Incheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of KoreaDepartment of Obstetrics and Gynecology, Daejeon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of KoreaDepartment of Obstetrics and Gynecology, Bucheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of KoreaDepartment of Obstetrics and Gynecology, Yeouido St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of KoreaDepartment of Obstetrics and Gynecology, Uijeongbu St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of KoreaDepartment of Obstetrics and Gynecology, Eunpyeong St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of KoreaDepartment of Obstetrics and Gynecology, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of KoreaDepartment of Obstetrics and Gynecology, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of KoreaDepartment of Obstetrics and Gynecology, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of KoreaThis study aimed to develop an early pregnancy risk scoring model for pregnancy-associated hypertension (PAH) based on maternal pre-pregnancy characteristics, such as mean arterial pressure (MAP), pregnancy-associated plasma protein-A (PAPP-A) or neither. The perinatal databases of seven hospitals from January 2009 to December 2020 were randomly divided into a training set and a test set at a ratio of 70:30. The data of a total pregnant restricted population (women not taking aspirin during pregnancy) were analyzed separately. Three models (model 1, pre-pregnancy factors only; model 2, adding MAP; model 3, adding MAP and PAPP-A) and the American College of Obstetricians and Gynecologists (ACOG) risk factors model were compared. A total of 2840 (8.11%) and 1550 (3.3%) women subsequently developed PAH and preterm PAH, respectively. Performances of models 2 and 3 with areas under the curve (AUC) over 0.82 in both total population and restricted population were superior to those of model 1 (with AUCs of 0.75 and 0.748, respectively) and the ACOG risk model (with AUCs of 0.66 and 0.66) for predicting PAH and preterm PAH. The final scoring system with model 2 for predicting PAH and preterm PAH showed moderate to good performance (AUCs of 0.78 and 0.79, respectively) in the test set. “A risk scoring model for PAH and preterm PAH with pre-pregnancy factors and MAP showed moderate to high performances. Further prospective studies for validating this scoring model with biomarkers and uterine artery Doppler or without them might be required”.https://www.mdpi.com/2075-1729/13/6/1330pregnancy-associated hypertensionpredictionriskscoring |
| spellingShingle | Yun Sung Jo Woo Jeng Kim Sae Kyung Choi Su Mi Kim Jae Eun Shin Ki Cheol Kil Yeon Hee Kim Jeong Ha Wie Han Wool Kim Subeen Hong Hyun Sun Ko Prediction of Pregnancy-Associated Hypertension Using a Scoring System: A Multicenter Cohort Study Life pregnancy-associated hypertension prediction risk scoring |
| title | Prediction of Pregnancy-Associated Hypertension Using a Scoring System: A Multicenter Cohort Study |
| title_full | Prediction of Pregnancy-Associated Hypertension Using a Scoring System: A Multicenter Cohort Study |
| title_fullStr | Prediction of Pregnancy-Associated Hypertension Using a Scoring System: A Multicenter Cohort Study |
| title_full_unstemmed | Prediction of Pregnancy-Associated Hypertension Using a Scoring System: A Multicenter Cohort Study |
| title_short | Prediction of Pregnancy-Associated Hypertension Using a Scoring System: A Multicenter Cohort Study |
| title_sort | prediction of pregnancy associated hypertension using a scoring system a multicenter cohort study |
| topic | pregnancy-associated hypertension prediction risk scoring |
| url | https://www.mdpi.com/2075-1729/13/6/1330 |
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