A comparative study of co-morbidities and outcomes between HELLP syndrome and severe pre-eclampsia without HELLP syndrome in a tertiary care centre
Preeti F. Lewis,
No information about this author
Vaishnavi Surpatne,
No information about this author
Rucha Bendale
No information about this author
et al.
International Journal of Reproduction Contraception Obstetrics and Gynecology,
Journal Year:
2025,
Volume and Issue:
14(3), P. 780 - 785
Published: Feb. 26, 2025
Background:
Pre-eclampsia
is
a
pregnancy
specific,
multi-system,
life-threatening
complication.
Incidence
of
severe
pre-eclampsia
varies
between
10-20%
all
pregnancies
and
that
HELLP
syndrome
0.2-0.6%
pregnancies.
This
study
aims
to
provide
comprehensive
view
maternal
perinatal
outcomes
in
without
HELLP.
Methods:
prospective,
observational,
comparative
was
conducted
at
tertiary
care
centre-
Grant
medical
college
sir
JJ
group
hospitals,
period
10
months
(March
2024
December
2024).
30
patients
with
features
were
compared
syndrome.
The
studied
results
analysed.
Results:
complications
the
need
for
blood
products
transfusion
greater
However,
only
marginal
differences
noted
outcomes.
Conclusions:
associated
increased
morbidity
mortality
as
pre-eclampsia.
Only
neonatal
due
preeclampsia
Aggressive
timely
treatment
these
conditions
helps
reducing
mortality.
Language: Английский
Improved Prediction Accuracy for Late-Onset Preeclampsia Using cfRNA Profiles: A Comparative Study of Marker Selection Strategies
Akira Nakano,
No information about this author
Kohei Uno,
No information about this author
Yusuke Matsui
No information about this author
et al.
Healthcare,
Journal Year:
2025,
Volume and Issue:
13(10), P. 1162 - 1162
Published: May 16, 2025
Background:
Late-onset
pre-eclampsia
(LO-PE)
remains
difficult
to
predict
because
placental
angiogenic
markers
perform
poorly
once
maternal
cardiometabolic
factors
dominate.
Methods:
We
reanalyzed
a
publicly
available
cell-free
RNA
(cfRNA)
cohort
(12
EO-PE,
12
LO-PE,
and
24
matched
controls).
After
RNA-seq
normalization,
we
derived
LO-PE
candidate
genes
using
(i)
differential
expression
(ii)
elastic-net
feature
selection.
Predictive
accuracy
was
assessed
with
nested
Monte-Carlo
cross-validation
(10
×
70/30
outer
splits;
5-fold
inner
grid-search
for
λ).
Results:
The
best
model
achieved
mean
±
SD
AUROC
of
0.88
0.08
F1
0.73
0.17—substantially
higher
than
an
EO-derived
baseline
applied
the
same
samples
(AUROC
≈
0.69).
Enrichment
analysis
highlighted
immune-tolerance
metabolic
pathways;
three
(HLA-G,
IL17RB,
KLRC4)
recurred
across
>50%
repeats.
Conclusions:
Plasma
cfRNA
signatures
can
outperform
existing
EO-based
screens
nominate
biologically
plausible
immune
dysregulation.
Because
present
dataset
is
small
(n
=
48)
underpowered
single-gene
claims,
external
validation
in
larger,
multicenter
cohorts
essential
before
clinical
translation.
Language: Английский