Prediction of Adverse Maternal Outcomes in Women with Early-Onset Preeclampsia with Severe Features in Mexico: Validation of the Full-PIERS Model
Objective. Validate the full-PIERS model in predicting adverse maternal outcomes in women with early-onset preeclampsia with severe features in our population. Methods. Retrospective cohort study. We applied the full-PIERS model on 130 women with severe early-onset preeclampsia who were treated at a...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-01-01
|
| Series: | Obstetrics and Gynecology International |
| Online Access: | http://dx.doi.org/10.1155/2024/5520312 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841524298097885184 |
|---|---|
| author | Eduardo Ponce Nájera Marcela Montoya Hinojosa Rogelio Armando Lozano Galván Diego González Oropeza |
| author_facet | Eduardo Ponce Nájera Marcela Montoya Hinojosa Rogelio Armando Lozano Galván Diego González Oropeza |
| author_sort | Eduardo Ponce Nájera |
| collection | DOAJ |
| description | Objective. Validate the full-PIERS model in predicting adverse maternal outcomes in women with early-onset preeclampsia with severe features in our population. Methods. Retrospective cohort study. We applied the full-PIERS model on 130 women with severe early-onset preeclampsia who were treated at a second-level hospital in Nuevo León, México. We validated the full-PIERS model in its ability to discriminate through the AUROC. Results. The full-PIERS model applied to the data obtained in our study had good discrimination, revealing an AUC of 0.718 (95% CI 0.515–0.921; P=0.017). A cut-off of 7.95 was identified as the cut-off point with the best diagnostic performance, with the highest Youden index, presenting a sensitivity of 54.5% and specificity of 99.2% for the development of complications. Conclusion. The full-PIERS model can predict adverse maternal outcomes in women admitted to our hospital with severe early-onset preeclampsia within 48 hours of admission. |
| format | Article |
| id | doaj-art-b94bfc3505a6482ba50babd790e60913 |
| institution | Kabale University |
| issn | 1687-9597 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Obstetrics and Gynecology International |
| spelling | doaj-art-b94bfc3505a6482ba50babd790e609132025-02-03T07:23:23ZengWileyObstetrics and Gynecology International1687-95972024-01-01202410.1155/2024/5520312Prediction of Adverse Maternal Outcomes in Women with Early-Onset Preeclampsia with Severe Features in Mexico: Validation of the Full-PIERS ModelEduardo Ponce Nájera0Marcela Montoya Hinojosa1Rogelio Armando Lozano Galván2Diego González Oropeza3Department of ObstetricsDepartment of ObstetricsHospital Zambrano Hellion TecSaludDepartment of ObstetricsObjective. Validate the full-PIERS model in predicting adverse maternal outcomes in women with early-onset preeclampsia with severe features in our population. Methods. Retrospective cohort study. We applied the full-PIERS model on 130 women with severe early-onset preeclampsia who were treated at a second-level hospital in Nuevo León, México. We validated the full-PIERS model in its ability to discriminate through the AUROC. Results. The full-PIERS model applied to the data obtained in our study had good discrimination, revealing an AUC of 0.718 (95% CI 0.515–0.921; P=0.017). A cut-off of 7.95 was identified as the cut-off point with the best diagnostic performance, with the highest Youden index, presenting a sensitivity of 54.5% and specificity of 99.2% for the development of complications. Conclusion. The full-PIERS model can predict adverse maternal outcomes in women admitted to our hospital with severe early-onset preeclampsia within 48 hours of admission.http://dx.doi.org/10.1155/2024/5520312 |
| spellingShingle | Eduardo Ponce Nájera Marcela Montoya Hinojosa Rogelio Armando Lozano Galván Diego González Oropeza Prediction of Adverse Maternal Outcomes in Women with Early-Onset Preeclampsia with Severe Features in Mexico: Validation of the Full-PIERS Model Obstetrics and Gynecology International |
| title | Prediction of Adverse Maternal Outcomes in Women with Early-Onset Preeclampsia with Severe Features in Mexico: Validation of the Full-PIERS Model |
| title_full | Prediction of Adverse Maternal Outcomes in Women with Early-Onset Preeclampsia with Severe Features in Mexico: Validation of the Full-PIERS Model |
| title_fullStr | Prediction of Adverse Maternal Outcomes in Women with Early-Onset Preeclampsia with Severe Features in Mexico: Validation of the Full-PIERS Model |
| title_full_unstemmed | Prediction of Adverse Maternal Outcomes in Women with Early-Onset Preeclampsia with Severe Features in Mexico: Validation of the Full-PIERS Model |
| title_short | Prediction of Adverse Maternal Outcomes in Women with Early-Onset Preeclampsia with Severe Features in Mexico: Validation of the Full-PIERS Model |
| title_sort | prediction of adverse maternal outcomes in women with early onset preeclampsia with severe features in mexico validation of the full piers model |
| url | http://dx.doi.org/10.1155/2024/5520312 |
| work_keys_str_mv | AT eduardoponcenajera predictionofadversematernaloutcomesinwomenwithearlyonsetpreeclampsiawithseverefeaturesinmexicovalidationofthefullpiersmodel AT marcelamontoyahinojosa predictionofadversematernaloutcomesinwomenwithearlyonsetpreeclampsiawithseverefeaturesinmexicovalidationofthefullpiersmodel AT rogelioarmandolozanogalvan predictionofadversematernaloutcomesinwomenwithearlyonsetpreeclampsiawithseverefeaturesinmexicovalidationofthefullpiersmodel AT diegogonzalezoropeza predictionofadversematernaloutcomesinwomenwithearlyonsetpreeclampsiawithseverefeaturesinmexicovalidationofthefullpiersmodel |