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Shazly SA, Anan MA, Makukhina TB, et al. Placenta accreta risk-antepartum score in predicting clinical outcomes of placenta accreta spectrum: A multicenter validation study. Int J Gynaecol Obstet. 2021;doi: 10.1002/ijgo.13993.
Shazly, S. A., Anan, M. A., Makukhina, T. B., Melekoglu, R., Ahmed, F. U. A., Pinto, P. V., Takahashi, H., Ahmed, N. B., Sayed, E. G., Elassall, G. M., Said, A. E., Fahmy, M. S., Dawyee, D. M., Penzhoyan, G. A., Amirkhanyan, A. M., Yılmaz, E., Celik, N. Z., Aziz, H., Akhter, T., Ambreen, A., & Abdelbadie, A. S. (2021). Placenta accreta risk-antepartum score in predicting clinical outcomes of placenta accreta spectrum: A multicenter validation study. International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics, . https://doi.org/10.1002/ijgo.13993
Shazly, Sherif A, et al. "Placenta accreta risk-antepartum score in predicting clinical outcomes of placenta accreta spectrum: A multicenter validation study." International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics vol. (2021). doi: https://doi.org/10.1002/ijgo.13993
Shazly SA, Anan MA, Makukhina TB, Melekoglu R, Ahmed FUA, Pinto PV, Takahashi H, Ahmed NB, Sayed EG, Elassall GM, Said AE, Fahmy MS, Dawyee DM, Penzhoyan GA, Amirkhanyan AM, Yılmaz E, Celik NZ, Aziz H, Akhter T, Ambreen A, Abdelbadie AS. Placenta accreta risk-antepartum score in predicting clinical outcomes of placenta accreta spectrum: A multicenter validation study. Int J Gynaecol Obstet. 2021 Oct 21; doi: 10.1002/ijgo.13993. Epub 2021 Oct 21. PMID: 34674270.
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Int J Gynaecol Obstet. 2021 Oct 21; doi: 10.1002/ijgo.13993. Epub 2021 Oct 21.

Placenta accreta risk-antepartum score in predicting clinical outcomes of placenta accreta spectrum: A multicenter validation study.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics

Sherif A Shazly, Mohamed A Anan, Tatiana B Makukhina, Rauf Melekoglu, Farhat Ul A Ahmed, Pedro V Pinto, Hironori Takahashi, Nermeen B Ahmed, Esraa G Sayed, Gena M Elassall, Aliaa E Said, Mohamed S Fahmy, Diaa M Dawyee, Gregory A Penzhoyan, Arpine M Amirkhanyan, Ercan Yılmaz, Nesibe Z Celik, Hijab Aziz, Tayyaba Akhter, Afshan Ambreen, Amr S Abdelbadie

Affiliations

  1. Women's services, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
  2. Department of Obstetrics and Gynecology, Aswan University, Aswan, Egypt.
  3. Obstetrics, Gynecology, and Perinatology Department of the Faculty of Postgraduate Education, Kuban State Medical University, Krasnodar, Russia.
  4. State Budgetary Healthcare Institution "Regional Clinical Hospital No. 2" of the Ministry of Health of the Krasnodar Territory, Perinatal Center, Krasnodar, Russia.
  5. Department of Obstetrics and Gynecology, School of Medicine, Inonu University, Malatya, Turkey.
  6. Department of Obstetrics and Gynecology, Fatima Memorial Hospital, Lahore, Pakistan.
  7. Serviço de Ginecologia e Obstetrícia, Centro Hospitalar São João, Porto, Portugal.
  8. Department of Obstetrics and Gynecology, Jichi Medical University, Tochigi, Japan.
  9. Faculty of Medicine, Assiut University, Assiut, Egypt.

PMID: 34674270 DOI: 10.1002/ijgo.13993

Abstract

OBJECTIVE: To validate the use of placenta accreta risk-antepartum (PAR-A) score as a predictive tool of clinical outcomes of placenta accreta spectrum (PAS).

METHODS: This is a prospective study, conducted in six PAS specialized centers in six different countries. The study was conducted between October 1, 2020 and March 31, 2021. Women who were provisionally diagnosed with PAS during pregnancy were considered eligible. A machine-learning-based PAR-A score was calculated. Diagnostic performance of the PAR-A score was evaluated using a receiver operating characteristic curve, for perioperative massive blood loss and admission to intensive care unit (ClinicalTrials.gov identifier NCT04525001).

RESULTS: Of 97 eligible women, 86 were included. PAS-associated massive blood loss occurred in 10 patients (11.63%). Median PAR-A scores of massive blood loss in the current cohort were 8.9 (interquartile range 6.9-14.1). In predicting massive blood loss, the area under the curve of PAR-A scores was 0.85 (95% confidence interval [CI] 0.74-0.95), which was not significantly different from the original cohort (P = 0.2). PAR-A score prediction of intensive care unit admission was slightly higher compared with the original cohort (0.88, 95% CI 0.81-0.95; P = 0.06).

CONCLUSION: PAR-A score is a novel scoring system of PAS outcomes, which showed external validity based on current data.

© 2021 International Federation of Gynecology and Obstetrics.

Keywords: machine learning; obstetric emergency; obstetric hemorrhage; placenta previa; placental morbidity; risk stratification

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