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A new splenic artery Doppler velocimetric index for prediction of severe fetal anemia associated with Rh alloimmunization.

作者信息

Bahado-Singh R, Oz U, Deren O, Pirhonen J, Kovanci E, Copel J, Onderoglu L

机构信息

Department of Obstetrics and Gynecology, Yale University School of Medicine, New Haven, Connecticut, USA.

出版信息

Am J Obstet Gynecol. 1999 Jan;180(1 Pt 1):49-54. doi: 10.1016/s0002-9378(99)70148-1.

Abstract

OBJECTIVE

We developed a new Doppler index for the noninvasive prediction of severe fetal anemia by means of Doppler velocimetry of the main splenic artery.

STUDY DESIGN

Doppler velocimetry of the main splenic artery was performed in 85 healthy fetuses and in 22 nonhydropic study case patients (41 measurements) at risk for anemia from Rh sensitization. The deceleration angle between the line describing the average slope during the diastolic phase of the cycle and the vertical axis was measured and expressed in multiples of the median (MoM) for gestational age. Severe anemia was defined as a hemoglobin deficit (mean hemoglobin for gestational age minus measured hemoglobin) >/=5 g/dL. Anemia overall was defined as a hemoglobin deficit >/=2 g/dL.

RESULTS

Mean gestational age at cordocentesis was 28.6 weeks. Severe anemia was noted on 7 occasions (12.6%) and anemia was noted on 21 (51.2%) occasions. There was a significant correlation between deceleration angle and hemoglobin deficit >/=2 g/dL (r = 0.5763, P <.0001) and also with hemoglobin deficit >/=5 g/dL (r = 0.6418, P <.0001). At deceleration angles <0. 90 MoM, a 90.5% sensitivity and a 30% false-positive rate were achieved for anemia detection. At a threshold deceleration angle of <0.60 MoM, the sensitivity for severe anemia was 100%, with an 8.8% false-positive rate.

CONCLUSION

We report a new and sensitive Doppler velocimetric technique for predicting severe anemia. By means of splenic artery velocimetry, all cases of severe anemia could be identified before the development of hydrops, with a >91% reduction in the rate of cordocentesis.

摘要

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