PRENATAL-DIAGNOSIS OF MAJOR MALFORMATIONS - QUALITY-CONTROL OF ROUTINE ULTRASOUND EXAMINATIONS BASED ON A 5-YEAR STUDY OF 20248 NEWBORN FETUSES AND INFANTS
A. Queisserluft et al., PRENATAL-DIAGNOSIS OF MAJOR MALFORMATIONS - QUALITY-CONTROL OF ROUTINE ULTRASOUND EXAMINATIONS BASED ON A 5-YEAR STUDY OF 20248 NEWBORN FETUSES AND INFANTS, Prenatal diagnosis, 18(6), 1998, pp. 567-576
Antenatal ultrasound screening for birth defects is increasingly becom
ing a routine procedure of prenatal care. Prenatal detection of malfor
mations and subsequent adjustment of obstetric management are essentia
l for secondary prevention. It is unknown whether ultrasound screening
is effective in ail pregnant women, or should only be performed in hi
gh risk populations. From 1990-1994, 20248 livebirths, stillbirths and
abortions underwent physical and sonographic examinations and anamnes
tic data were collected. To identify the high risk group, case control
analyses of births with one of the 23 selected major malformations (c
ases) arid births without malformations (controls) were performed with
respect to anamnestic risk factors. All women had at east three routi
ne ultrasound scans. The selected malformations were diagnosed in 298
children; 95 (30.3 per cent) were diagnosed antenatally. Detection rat
es were: CNS (68.6 per cent), gastro-intestinal tract (42.3 per cent),
urinary system (24.1 per cent), heart (5.9 per cent). Complications d
uring pregnancy were calculated as indicators of congenital anomalies:
premature labour (<28 week) OR 4.7 (3.8-5.9), placental insufficiency
OR 1.9 (1.1-2.7) and vaginal bleeding OR 1.5 (1.2-1.8), etc. Antenata
l routine ultrasound screening is not effective in low risk population
s. Anamnestic risk factors during pregnancy may be essential indicator
s for identifying high risk populations. We propose screening of the d
escribed high risk pregnancies (about 22 per cent of all pregnancies)
to be performed by specially trained and highly experienced ultrasonog
raphers to increase sensitivity rates and benefit cost effectiveness.
(C) 1998 John Wiley & Sons, Ltd.