Utility of uterine artery Doppler ultrasound imaging in predicting preeclampsia during pregnancy: a meta-analysis.
Med Ultrason
; 26(2): 197-204, 2024 Jun 21.
Article
en En
| MEDLINE
| ID: mdl-38805623
ABSTRACT
AIMS:
Accurate prediction of preeclampsia could improve maternal outcomes. However, the role of uterine artery Doppler ultrasound in predicting preeclampsia remains unclear. MATERIALS ANDMETHODS:
We comprehensively searched several electronic databases, including PubMed, EMBASE, the Cochrane Library, and Web of Science, covering studies published from the time of database creation to September 23, 2023. Studies on the predictive value of uterine artery Doppler ultrasound for preeclampsia were included. The primary pregnancy outcome was preeclampsia. The risk of bias was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 scoring scale.RESULTS:
The use of resistance index (RI) for predicting preeclampsia demonstrated the highest sensitivity of 0.73 (95% confidence interval [CI], 0.30-0.94) and specificity of 0.90 (95% CI, 0.72-0.97), with a pooled area under the curve value of 0.91 (95% CI, 0.88-0.93). The use of pulsatility index (PI) for predicting preeclampsia showed a sensitivity of 0.65 (95% CI, 0.45-0.81) and specificity of 0.88 (95% CI, 0.77-0.94). Furthermore, preeclampsia prediction via notching showed a sensitivity of 0.54 (95% CI, 0.38-0.68) and specificity of 0.89 (95% CI, 0.79-0.95).CONCLUSIONS:
These findings highlight the varying predictive performance of different preeclampsia indices. PI and RI demonstrated moderate-to-high sensitivity and specificity, whereas notching exhibited relatively lower sensitivity but comparable specificity. Further research and validation are warranted to consolidate these results and enhance the accuracy of preeclampsia prediction.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Preeclampsia
/
Ultrasonografía Doppler
/
Arteria Uterina
Límite:
Female
/
Humans
/
Pregnancy
Idioma:
En
Revista:
Med Ultrason
Asunto de la revista:
DIAGNOSTICO POR IMAGEM
Año:
2024
Tipo del documento:
Article