Literature DB >> 27794565

Comparison between Three Methods of Fetal Weight Estimation during the Active Stage of Labor Performed by Residents: A Prospective Cohort Study.

Eran Weiner1, Yossi Mizrachi, Nataly Fainstein, Osnat Elyashiv, Noa Mevorach-Zussman, Jacob Bar, Michal Kovo.   

Abstract

OBJECTIVE: To compare the accuracy of ultrasonographic, calculated, and clinical methods for the estimation of fetal weight (EFW) performed during active labor by residents.
METHODS: Parturients in active labor underwent prospectively EFW by 3 methods: ultrasonographic, clinical, and calculated (extrapolating EFW from a previous scan). Three different blinded residents evaluated each woman. Background variables were examined for their effect on the accuracy of each method. Comparison of the methods for the detection of macrosomia and small for gestational age (SGA) was also performed.
RESULTS: Among the 405 women recruited, the rates of accuracy of ultrasonographic, clinical, and calculated EFW (within ±10%) was 72.5, 74.3, and 71.1%, respectively. The correlation coefficient between the methods and actual birth weight (ABW) were 0.702-0.611 (using 7 Hadlock formulas), 0.649, and 0.622, respectively (all p < 0.001). By logistic regression, epidural analgesia was associated with higher and second stage of labor with lower accuracy of ultrasonographic EFW. For the detection of macrosomia, clinical (p < 0.001) and calculated EFWs (p = 0.035) were superior to ultrasonographic EFW. For the detection of SGA, ultrasonographic EFW was superior to calculated (p < 0.001) and clinical (p < 0.001) EFWs.
CONCLUSION: All 3 methods performed by residents during labor correlated well with ABW. Clinical and calculated EFWs were superior for macrosomia detection, whereas ultrasonographic EFW was superior for SGA detection.
© 2016 S. Karger AG, Basel.

Entities:  

Keywords:  Active labor; Fetal weight estimation; Macrosomia; Residents; Small for gestational age

Mesh:

Year:  2016        PMID: 27794565     DOI: 10.1159/000450944

Source DB:  PubMed          Journal:  Fetal Diagn Ther        ISSN: 1015-3837            Impact factor:   2.587


  2 in total

1.  Nomogram-based risk prediction of macrosomia: a case-control study.

Authors:  Jing Du; Xiaomei Zhang; Sanbao Chai; Xin Zhao; Jianbin Sun; Ning Yuan; Xiaofeng Yu; Qiaoling Zhang
Journal:  BMC Pregnancy Childbirth       Date:  2022-05-05       Impact factor: 3.105

2.  Analytical Comparison of Risk Prediction Models for the Onset of Macrosomia Based on Three Statistical Methods.

Authors:  Jinbo Zhang; Xiaozhi Wu; Qingqing Song
Journal:  Dis Markers       Date:  2022-09-10       Impact factor: 3.464

  2 in total

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