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A new mathematical formula to predict the foetal weight in twin pregnancies: A comparison of it with 19 different formulas
- Source :
- Journal of obstetrics and gynaecology : the journal of the Institute of Obstetrics and Gynaecology. 37(1)
- Publication Year :
- 2016
-
Abstract
- One hundred and seventy-two twin-pregnant patients were enrolled. The estimated foetal weight was calculated using 19 different formulas. Ong's formula (0.954 (95%CI = 0.938/0.966)), which was designed specifically for twins, produced the highest Cronbach's alpha value followed by Hadlock II (0.952 (95%CI = 0.935/0.965)), Hadlock I (0.952 (95%CI = 0.935/0.964)), Hadlock III (0.952 (95%CI = 0.935/0.964)), Hadlock IV (0.952 (95%CI = 0.935/0.964)) and our formula (0.952 (95%CI = 0.935/0.964)), which produced the same Cronbach's alpha values for twin A. For twin B, our formula produced the highest Cronbach's alpha value (0.961 (95%CI = 0.948/0.972) followed by Hadlock II (0.960 (95%CI = 0.946/0.971)), Hadlock I (0.960 (95%CI = 0.946/0.970)), Hadlock III (0.960 (95%CI = 0.946/0.970)) and Hadlock IV (0.960 (95%CI = 0.946/0.970)). In conclusion, our formula (AC, FL) performed well in predicting the foetal weights in twin pregnancies (>24 weeks) in our study. However, it should be tested in other populations. Hadlock II (AC, FL) produced a comparable performance to Hadlock I (BPD, HC, AC, FL), Hadlock III (BPD, AC, FL) and Hadlock IV (HC, AC, FL). Hadlock II may be preferable in twin pregnancies since it is based on AC and FL only.
- Subjects :
- Adult
medicine.medical_specialty
Biometry
Birth weight
Twins
Gestational Age
Mathematical formula
Ultrasonography, Prenatal
03 medical and health sciences
Prenatal ultrasound
0302 clinical medicine
Cronbach's alpha
Predictive Value of Tests
Pregnancy
medicine
Birth Weight
Humans
030212 general & internal medicine
Twin Pregnancy
Retrospective Studies
Gynecology
030219 obstetrics & reproductive medicine
business.industry
Alpha Value
Obstetrics and Gynecology
Models, Theoretical
Fetal Weight
Pregnancy, Twin
Regression Analysis
Female
business
Subjects
Details
- ISSN :
- 13646893
- Volume :
- 37
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Journal of obstetrics and gynaecology : the journal of the Institute of Obstetrics and Gynaecology
- Accession number :
- edsair.doi.dedup.....209f67391381fd0275ac0111b41abc93