This study was done to see how well these customised GROW charts might diagnose aberrant foetal growth patterns in prenatal patients visiting a tertiary care perinatal hospital in south India.
From 24 weeks of gestation, serial SFH of expectant mothers with singleton
babies scheduled for prenatal care up to 22 weeks was measured and plotted on
unique growth charts created with the gestation related optimum weight (GROW)
programme. Fetal development patterns were identified during the prenatal stage
using ultrasonography, and were then confirmed after delivery using a neonatal
growth categorization. The diagnostic potency of SFH was evaluated against
ultrasonography and neonatal classifications using sensitivity, specificity,
area under the ROC curve, and likelihood ratio tests.
666 pregnant women who attended prenatal clinics between January 2010 and
October 2010 were included in the research. On ultrasonography, 564 (84.6%)
foetuses were AGA, 78 (11.7%) foetuses were LGA, 19 (2.9%) foetuses were SGA,
and 5 (0.8%) exhibited centile crossover from higher to lower pattern. Serial
SFH measurements revealed that 426 (64.0%) of the foetuses had normal
development, 180 (27.0%) had excessive growth, and 40 (6.0%) had sluggish
growth. Serial SFH measurements exhibited positive likelihood ratios of 4.7
(8.5 for USG) and 0.06 for the detection of SGA and LGA, respectively.
A low-cost screening method for detecting foetuses with aberrant growth
patterns may be developed using the SFH data displayed on a personalised GROW
curve. The diagnostic effectiveness of SFH plotted on customised growth charts
has to be further enhanced before being employed on a bigger scale by creating
suitable customised growth charts for India.
Author(s) Details:
Department of Fetal Medicine, Fernandez Hospital, Bogulkunta, Hyderabad,
Telangana, India.
Vavilala Suseela,
Department of Fetal Medicine, Fernandez Hospital, Bogulkunta, Hyderabad,
Telangana, India.
Praveen Kumar Nirmalan,
Clinical Research Unit, Fernandez Hospital, Bogulkunta, Hyderabad,
Telangana, India.
Please see the link here: https://stm.bookpi.org/CPMS-V4/article/view/7371
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