Detail
Article
Online article
FT
Medvik - BMC
  • Something wrong with this record ?

External validation of and improvement upon a model for the prediction of placenta accreta spectrum severity using prospectively collected multicenter ultrasound data

M. Kolak, S. Gerry, H. Huras, A. Al Naimi, KA. Fox, T. Braun, V. Stefanovic, H. van Beekhuizen, O. Morel, A. Paping, C. Bertholdt, P. Calda, Z. Lastuvka, A. Jaworowski, E. Savukyne, S. Collins, IS‐PAS group

. 2025 ; 104 Suppl 1 (Suppl 1) : 20-28. [pub] 20240820

Language English

Document type Journal Article, Multicenter Study, Validation Study

Persistent link   https://www.medvik.cz/link/bmc25016322

Grant support
MH CZ - DRO-VFN64165. Všeobecná Fakultní Nemocnice v Praze

INTRODUCTION: This study aimed to validate the Sargent risk stratification algorithm for the prediction of placenta accreta spectrum (PAS) severity using data collected from multiple centers and using the multicenter data to improve the model. MATERIAL AND METHODS: We conducted a multicenter analysis using data collected for the IS-PAS database. The Sargent model's effectiveness in distinguishing between abnormally adherent placenta (FIGO grade 1) and abnormally invasive placenta (FIGO grades 2 and 3) was evaluated. A new model was developed using multicenter data from the IS-PAS database. RESULTS: The database included 315 cases of suspected PAS, of which 226 had fully documented standardized ultrasound signs. The final diagnosis was normal placentation in 5, abnormally adherent placenta/FIGO grade 1 in 43, and abnormally invasive placenta/FIGO grades 2 and 3 in 178. The external validation of the Sargent model revealed moderate predictive accuracy in a multicenter setting (C-index 0.68), compared to its higher accuracy in a single-center context (C-index 0.90). The newly developed model achieved a C-index of 0.74. CONCLUSIONS: The study underscores the difficulty in developing universally applicable PAS prediction models. While models like that of Sargent et al. show promise, their reproducibility varies across settings, likely due to the interpretation of the ultrasound signs. The findings support the need for updating the current ultrasound descriptors and for the development of any new predictive models to use data collected by different operators in multiple clinical settings.

References provided by Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc25016322
003      
CZ-PrNML
005      
20250731092828.0
007      
ta
008      
250708s2025 xxu f 000 0|eng||
009      
AR
024    7_
$a 10.1111/aogs.14941 $2 doi
035    __
$a (PubMed)39164972
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a x
100    1_
$a Kolak, Magdalena $u Department of Obstetrics and Perinatology, Medical College, Jagiellonian University, Krakow, Poland $1 https://orcid.org/0000000278222434
245    10
$a External validation of and improvement upon a model for the prediction of placenta accreta spectrum severity using prospectively collected multicenter ultrasound data / $c M. Kolak, S. Gerry, H. Huras, A. Al Naimi, KA. Fox, T. Braun, V. Stefanovic, H. van Beekhuizen, O. Morel, A. Paping, C. Bertholdt, P. Calda, Z. Lastuvka, A. Jaworowski, E. Savukyne, S. Collins, IS‐PAS group
520    9_
$a INTRODUCTION: This study aimed to validate the Sargent risk stratification algorithm for the prediction of placenta accreta spectrum (PAS) severity using data collected from multiple centers and using the multicenter data to improve the model. MATERIAL AND METHODS: We conducted a multicenter analysis using data collected for the IS-PAS database. The Sargent model's effectiveness in distinguishing between abnormally adherent placenta (FIGO grade 1) and abnormally invasive placenta (FIGO grades 2 and 3) was evaluated. A new model was developed using multicenter data from the IS-PAS database. RESULTS: The database included 315 cases of suspected PAS, of which 226 had fully documented standardized ultrasound signs. The final diagnosis was normal placentation in 5, abnormally adherent placenta/FIGO grade 1 in 43, and abnormally invasive placenta/FIGO grades 2 and 3 in 178. The external validation of the Sargent model revealed moderate predictive accuracy in a multicenter setting (C-index 0.68), compared to its higher accuracy in a single-center context (C-index 0.90). The newly developed model achieved a C-index of 0.74. CONCLUSIONS: The study underscores the difficulty in developing universally applicable PAS prediction models. While models like that of Sargent et al. show promise, their reproducibility varies across settings, likely due to the interpretation of the ultrasound signs. The findings support the need for updating the current ultrasound descriptors and for the development of any new predictive models to use data collected by different operators in multiple clinical settings.
650    _2
$a lidé $7 D006801
650    _2
$a ženské pohlaví $7 D005260
650    _2
$a těhotenství $7 D011247
650    12
$a placenta accreta $x diagnostické zobrazování $7 D010921
650    12
$a ultrasonografie prenatální $7 D016216
650    _2
$a dospělí $7 D000328
650    _2
$a stupeň závažnosti nemoci $7 D012720
650    _2
$a prospektivní studie $7 D011446
650    _2
$a algoritmy $7 D000465
650    _2
$a prediktivní hodnota testů $7 D011237
650    _2
$a hodnocení rizik $7 D018570
650    _2
$a reprodukovatelnost výsledků $7 D015203
655    _2
$a časopisecké články $7 D016428
655    _2
$a multicentrická studie $7 D016448
655    _2
$a validační studie $7 D023361
700    1_
$a Gerry, Stephen $u Centre for Statistics in Medicine, University of Oxford, Oxford, UK $1 https://orcid.org/0000000346547311
700    1_
$a Huras, Hubert $u Department of Obstetrics and Perinatology, Medical College, Jagiellonian University, Krakow, Poland $1 https://orcid.org/0000000166616893
700    1_
$a Al Naimi, Ammar $u Division of Obstetrics & Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University Hospital Frankfurt Goethe-University, Frankfurt, Germany $u Department of Obstetrics and Gynecology, Buergerhospital, Frankfurt, Germany $1 https://orcid.org/0000000153454688
700    1_
$a Fox, Karin A $u Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Baylor College of Medicine, Houston, Texas, USA $1 https://orcid.org/000000028405772X
700    1_
$a Braun, Thorsten $u Department of Obstetrics, Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany $1 https://orcid.org/0000000219899920
700    1_
$a Stefanovic, Vedran $u Department of Obstetrics and Gynecology, Fetomaternal Medical Center, Helsinki University Hospital and University of Helsinki, Berlin, Finland $1 https://orcid.org/0000000152301698
700    1_
$a van Beekhuizen, Heleen $u Department of Gynecological Oncology, Erasmus MC Cancer Center, Rotterdam, The Netherlands $1 https://orcid.org/0000000188997412
700    1_
$a Morel, Olivier $u Department of Obstetrics and Gynecology, CHRU- Nancy, Université de Lorraine, Nancy, France $u IADI, INSERM, Université de Lorraine, Nancy, France $1 https://orcid.org/0000000163591328
700    1_
$a Paping, Alexander $u Department of Obstetrics, Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany $1 https://orcid.org/0000000323606016
700    1_
$a Bertholdt, Charline $u Department of Obstetrics and Gynecology, CHRU- Nancy, Université de Lorraine, Nancy, France $u IADI, INSERM, Université de Lorraine, Nancy, France $1 https://orcid.org/0000000192975363
700    1_
$a Calda, Pavel $u Department of Gynecology, Obstetrics and Neonatology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic $1 https://orcid.org/0000000229035026 $7 mzk2006323882
700    1_
$a Lastuvka, Zdenek $u Department of Gynecology, Obstetrics and Neonatology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic $1 https://orcid.org/0000000248504625
700    1_
$a Jaworowski, Andrzej $u Department of Obstetrics and Perinatology, Medical College, Jagiellonian University, Krakow, Poland $1 https://orcid.org/0000000264669059
700    1_
$a Savukyne, Egle $u Hospital of Lithuanian University of Health Sciences Kaunas Clinics, Lithuanian University of Health Sciences, Kaunas, Lithuania $1 https://orcid.org/0000000253840738
700    1_
$a Collins, Sally $u Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK $1 https://orcid.org/0000000206487433 $7 osa20241221353
710    2_
$a IS‐PAS group
773    0_
$w MED00009026 $t Acta obstetricia et gynecologica Scandinavica $x 1600-0412 $g Roč. 104 Suppl 1, Suppl 1 (2025), s. 20-28
856    41
$u https://pubmed.ncbi.nlm.nih.gov/39164972 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y - $z 0
990    __
$a 20250708 $b ABA008
991    __
$a 20250731092823 $b ABA008
999    __
$a ok $b bmc $g 2366882 $s 1253447
BAS    __
$a 3
BAS    __
$a PreBMC-MEDLINE
BMC    __
$a 2025 $b 104 Suppl 1 $c Suppl 1 $d 20-28 $e 20240820 $i 1600-0412 $m Acta obstetricia et gynecologica Scandinavica $n Acta Obstet Gynecol Scand $x MED00009026
GRA    __
$a MH CZ - DRO-VFN64165. $p Všeobecná Fakultní Nemocnice v Praze
LZP    __
$a Pubmed-20250708
Back

Find record

Citation metrics

Archiving options