Prediction Model for Massive Transfusion in Placenta Previa during Cesarean Section
Yonsei Medical Journal
;
: 154-160, 2020.
Artigo
em Inglês
| WPRIM
| ID: wpr-782196
ABSTRACT
0.05). The area under the receiver operating characteristics curve (AUC) was 0.922 [95% confidence interval (CI) 0.89–0.95]. In external validation, the discrimination was good, with an AUC value of 0.833 (95% CI 0.70–0.92) for this model. Nomogram calibration plots indicated good agreement between the predicted and observed outcomes, exhibiting close approximation between the predicted and observed probability.CONCLUSION:
We constructed a scoring model for predicting massive transfusion during cesarean section in women with placenta previa. This model may help in determining the need to prepare an appropriate amount of blood products and the optimal timing of blood transfusion.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Placenta
/
Placenta Prévia
/
Placentação
/
Transfusão de Sangue
/
Calibragem
/
Modelos Logísticos
/
Cesárea
/
Curva ROC
/
Estudos de Coortes
/
Ultrassonografia
Tipo de estudo:
Estudo diagnóstico
/
Estudo de etiologia
/
Estudo de incidência
/
Estudo observacional
/
Estudo prognóstico
/
Fatores de risco
Limite:
Feminino
/
Humanos
/
Gravidez
Idioma:
Inglês
Revista:
Yonsei Medical Journal
Ano de publicação:
2020
Tipo de documento:
Artigo
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