Prediction Model for Massive Transfusion in Placenta Previa during Cesarean Section
Yonsei Medical Journal
;
: 154-160, 2020.
Article
in English
| 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.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Placenta
/
Placenta Previa
/
Placentation
/
Blood Transfusion
/
Calibration
/
Logistic Models
/
Cesarean Section
/
ROC Curve
/
Cohort Studies
/
Ultrasonography
Type of study:
Diagnostic study
/
Etiology study
/
Incidence study
/
Observational study
/
Prognostic study
/
Risk factors
Limits:
Female
/
Humans
/
Pregnancy
Language:
English
Journal:
Yonsei Medical Journal
Year:
2020
Type:
Article
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