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Ruchika Garg
Assistant Professor
Dept of Obstetrics and
Gynecology
SN Medical College,Agra
Assistant Editor
JSAFOG
Assistant Editor
JSAFOMS
 Inflammation
 Immunological
 Prostaglandin imbalance
 Angiogenic factors
 Toxins
 Malnutrition
 Vitamin Deficiency
 Stress
Screening by Maternal History
Rates of preeclampsia depend on: severity of underlying complications&
combinations of risk factors.
Risk %Risk factors
15-40Chronic hypertension/renal disease
10-35Pre gestational DM
10-20Connective tissue disease (lupus, rheumatoid arthritis)
10-40Thrombophilia (acquired or congenital)
10-15Obesity/insulin resistance
10-20Age older than 40 y
10-35Limited sperm exposure
10-15Family history of preeclampsia/ cardiovascular disease
1.5 foldWoman born as SFGA
2-3 foldAdverse outcome in a previous pregnancy: IUGR, abruptio
placentae, IUFD
In PE:
Impaired trophoblast
differentiation &
invasion
SCREENING TESTS FOR PE (WHO, 2004)
I. Placental perfusion & vascular resistance
dysfunction
Mean arterial blood pressure
Roll over test
Doppler ultrasound
Isometric exercise test
Intravenous infusion of angiotensin II
Platelet angiotensin II binding
Platelet calcium response to arginine vasopressin
Renin
24-hour ambulatory blood pressure monitoring
• Human
chorionic
gonadotropin
• Alpha
fetoprotein
• Estriol
• Inhibin A
• Pregnancy-
associated
plasma protein
A
• Activin A
• Corticotropin
release
hormone
III. Renal dysfunction
Serum uric acid
Microalbuminuria
Urinary calcium excretion
Urinary kallikrein
Microtransferrinuria
N-acetyl- glucosarninidase
 ,
1. Platelet count
2. Platelet activation
and endothelial cell
adhesion molecules
3. Prostacyclin
4. Cytokines
5. Isoprostanes,
6. Antiphospholipid
antibodies
•Fibronectin
•Endothelin
•Thromboxane
•Homocysteine
•Serum lipids
• Insulin resistance
•Plasminogen activator
inhibitor
•Leptin
•Total proteins
•Magnesium
•Ferritin
•Haptoglobin
•microglobulin
•Genetic marker
 Play a central role in the pathogenesis and
be specific for the condition.
 Appear early or before the clinical
manifestations.
 Placental factors that can be detected early
in pregnancy are likely to be good
biochemical markers for PE prediction.
 Correlates with clinical severity of
preeclampsia and perinatal
outcomes.
Despite a good amount of studies,
not of all studies suggest that the
serum uric acid levels may begin to
rise before the onset of hypertension
and proteinuria.
an early sign of renal involvement in
preeclampsia- ↓↓ renal clearance
due to altered tubular processing of
uric acid preceding glomerular
affliction.
 the discriminatory value of serum
uric acid as a predictor of
preeclampsia remains to be proven
.
Recent study- sensitivity of 22%
specificity of 85% for prediction of PE.
The disappointing results of recent studies raises doubts
about usefulness as a continuing test.
I. Biophysical
Mean arterial pressure
•Better predictor of PE than S& D BP
(BMJ 200817;336:111; Meta-analysis of 34 RCT)
2nd trimester MA BP ≥ 90 mm Hg had +ve LR 3.5
and –ve LR 0.46
•BP remains the cornerstone of early diagnosis
although it has limitations:
measurement errors associated with sphygmomanometer
effect of maternal posture on BP in pregnant women.
• 84% developed PE.
• Microproteinuria > 375mg/l may be significant
•Could be utilized as a screening test for the
early detection of a woman at risk of
developing preeclampsia.
•There is no diagnostic value of
microalbuminuria and the calcium/creatinine
ratio when used alone.
 Suggested as a predictive first trimester
marker for PE .
 Given the low screening performance of the
study, cystatin C is probably not clinically
useful as a single marker but could be useful
in combination with other biochemical
markers.
 Suggest that possible cellular battle against
mitochondria-originated oxidative stress
test resulting in recovery or apoptosis.
 The over expression of chaperonin 60, GST,
VDAC, Erp29 and cathespin D in
PE makes it a ideal marker of predicting
preeclampsia .
 Women with PE present a unique urine
proteomic fingerprint composed of
SERPINA1 and albumin fragments that
predicts PE in need of mandated delivery
with highest accuracy.
 To distinguish preeclampsia from other
hypertensive or proteinuric disorders in
pregnancy.
Cell free DNA is a promising new
marker.
Increased before the onset of
disease
Int j Mol Sci 2015
 Urinary excretion of N-acetyl-beta-
glucosaminidine, a lysosomal enzyme of the
renal tubular cells ↑↑↑ in normal pregnant
women and in woman with transient
hypertension Vs non pregnant healthy
controls.
 In PE, the increase was much higher than
corresponding to their gestational age
 Pre-eclampsia Vs gestational
hypertension or chronic
hypertension.
↑↑↑Thrombomodulin may serve
as a clinical marker to
differentiate preeclampsia from
other disorders of pregnancy.
•in the first trimester is a example where a
combination of ultrasound and biochemical
markers are used.
• Measurement of other indices with inhibin
A can produce a test with greater sensitivity
for PE as occurs with triple or quadruple
blood tests for Down's syndrome ?
 Inhibin A is the best predictor of Pre-eclampsia
out of unconjugated estriol,beta hcg at second
Trimester.
A more sensitive marker for the prediction of
preeclampsia than hCG.
hCG + inhibin did not improve the screening
efficiency for preeclampsia
suggesting that inhibin-A and hCG are markers of
the same underlying pathological process
Fetal Diag Therapy 2011
Midtrimester beta-hCG levels alone
correlated significantly with the
severity of preeclampsia.
 Combination of Maternal Serum
hCG levels, BMI,parity and age as a
predictive test for preeclampsia was
far superior to hCG alone.
Sensitivity of 70% , Specificity of 71
%.
 Serum levels of collagen synthesis,
procollagen I, carboxy- terminal peptide
(PICP) and procollagen111 amino-terminal
peptide (PIIIP), in patients with
preeclampsia and controls.
 The markers were mildly elevated in
preeclampsia, but unlikely to be useful in the
prediction of preeclampsia
Preeclampsia is a 2 stage disorder
 Stage 1
Invasion of Spiral Arteries
into myometrium is
inadequate.Stage 2 in late
pregnancy
Oxidatively stressed placenta
releases antiangiogenic proteins
Tyrosine kinase 1 ,PGs and
Cytokines.Hypoxic placenta reduces
the production of pro angiogenic
factors –Placental Growth Factor
PIGF,VEGF
 Glycoprotein synthesized in the placenta
 Maternal plasma conc. increases through out
pregnancy.
 PAPP-A ,b-hCG and nuchal translucency
thickness, to screen for trisomy 21, 13 and
18 at 11 to 13 weeks GA.
 In fetuses with normal chromosomes ↓ PAPP-
A in 1st trimes - ↑↑↑ risk for PE, IUGR, SGA
and preterm delivery
 when used as a single biochemical marker, is
only about 10 to 20 % Sensitive.
 Combined with Doppler ultrasound, PAPP-A
is a powerful predictive biochemical marker
of PE
 prediction rates of 70% at false positive
rates of 5%.
 At term, plasma PAPP-A have been shown to
increase in pregnancies complicated by PE
and HELLP, but its concentration is still not
predictive
 a member of the galectin family
 produced by the placental trophoblast cells
and is associated with normal placentation.
In normal pregnancies, serum PP13 slowly rise
with GA.
↓↓ levels in the first trimester in pregnancies
that subsequently develop PE.
Serum screening + Doppler ultrasound
pulsatility index (PI),
Prediction rate 71% at a false
positive 10%
PP13 was concluded to be a
reasonable biochemical marker for
early onset and preterm PE but a
weak marker for PE at term
 Endoglin is homodimeric transmembrane
glycoprotein .
 The levels correlate with the time
of onset of clinically manifest PE
and partly with disease severity.
 Early-onset PE exhibits higher levels
of sFlt
 ↑↑ is observed ~5 weeks before
onset of PE
.
 .
soluble endoglin (s-Eng) . sEng+ Doppler
ultrasound (PI) and PlGF, the prediction
rate for early onset PE was 77.8% at a false
positive rate of 5%
sFlt-1 levels are stable during early &
mid gestation ,then increase
significantly during late stages
Maternal plasma sEng and
Uterine artery PI are ↑↑.
PIGF and PAPP-A are ↓
Uterine Artery PI was ↑↑ .but no
significant difference in the
maternal plasma conc.of sEng or
sPAPP-A
Late PE
 .

Low increase in PlGF in early pregnancy
,independent of change in sFlt-1 is
associated with high risk –PE.
Low or no ↑↑ in serum free PlGF , VEGF & high
conc. of sFlt-1 a strong predictor of early PE.
Low increase in PlGF & low ↑↑ in sFlt are
associated with 10 fold higher risk of pre term PE
In the unaffected group, multiple
regression analysis - at 30-33
weeks serum sEng for third-
trimester log10 sEng was
significantly lower in women of
Afro-Caribbean racial origin than in
Caucasians ,
higher in nulliparous than in parous
women.
Consequently sEng must be
adjusted for these variables before
comparing with pathological
pregnancies
Higher sEng in women developing PE and the
inverse relation between the level of sEng and
GA at delivery for PE is compatible with the
role of this anti-angiogenic factor in inducing
vascular endothelial cell injury and dysfunction
before the clinical onset of the disease
 sEng+ Doppler ultrasound (PI) and
PlGF, the prediction rate for early
onset PE was 77.8% at a FP rate of
5%
 As a single biochemical marker, PlGF has
been shown to predict 53.5% of early onset
PE at a false positive rate of 5%
 at a false positive rate of 10% in late first
trimester.
PlGF could be a promising
biochemical marker even in the first
trimester particularly if combined with
HbF and A1M.
 Increase in sFlt -1 ,↓PIGF and VEGF .
 sFlt-1 soluble vascular endothelial growth factor
receptor-1
69 (60 - 77)
0 20 40 60 80 100
Doppler combinations of FVW
Doppler resistance index
Doppler pulsatility index
Doppler other ratios
Doppler bilateral notching
Doppler any/unilateral notching
SDS Page proteinuria 100 (88 - 100)
Kallikreinuria
Microalbumin/creatinine ratio
Microalbuminuria
Total albuminuria
Total proteinuria
Urinary calcium/creatinine ratio
Urinary calcium excretion
Serum uric acid
Oestriol
HCG
Foetal DNA
Fibronectin total
Fibronectin cellular
AFP
BMI<19.8
BMI>24.2
BMI>29
0 20 40 60 80 100
BMI>34
25
29
8
8
21
19
1
1
1
2
2
4
6
4
5
3
16
3
3
2
12
7
9
8
2
22896
7982
14697
2619
29331
14345
153
307
1422
190
88
2228
1345
705
514
26811
72732
351
373
135
137097
152720
440214
410823
16200
11 (8 - 16)
41 (29 - 53)
23 (15 - 33)
18 (15 - 21)
64 (54 - 74)
66 (54 - 76)
48 (29 - 69)
55 (37 - 72)
48 (34 - 62)
63 (51 - 74)
19 (12 - 28)
62 (23 - 90)
70 (45 - 87)
35 (13 - 68)
50 (36 - 64)
57 (24 - 84)
36 (22 - 53)
26 (9 - 56)
24 (16 - 35)
50 (31 - 69)
65 (42 - 83)
50 (30 - 70)
9 (5 - 16)
83 (52 - 98)
80 (73 - 86)
75 (62 - 84)
88 (80 - 93)
93 (87 - 97)
86 (82 - 90)
80 (74 - 85)
87 (75 - 94)
80 (73 - 86)
92 (87 - 95)
82 (74 - 87)
75 (73 - 77)
68 (57 - 77)
89 (79 - 94)
89 (79 - 94)
80 (66 - 89)
74 (69 - 79)
83 (73 - 90)
82 (61 - 93)
89 (86 - 92)
88 (80 - 93)
94 (86 - 98)
96 (79 - 99)
96 (94 - 98)
98 (98 - 100)
Sensitivity Specificity
Sn (95% CI)Test No of studies No of women Sp (95% CI)
Prediction of preeclampsia
Methods of prediction and prevention of pre-eclampsia: systematic reviews of
accuracy and effectiveness literature with economic modelling CA Meads, et al 2008
0.01 0.1 0.2 0.5 1 2 5 10
Progesterone 0.21 (0.03, 1.77)
Nitric oxide donors and precursors 0.83 (0.49, 1.41)
Diuretics 0.68 (0.45, 1.03)
Antiplatelets 0.81 (0.75, 0.88)
Antihypertensives v none 0.99 (0.84, 1.18)
Marine oils 0.86 (0.59, 1.27)
Magnesium 0.87 (0.57, 1.32)
Garlic 0.78 (0.31, 1.93)
Energy/protein restriction 1.13 (0.59, 2.18)
Isocaloric balanced protein supplementation 1.00 (0.57, 1.75)
Balanced protein/energy intake 1.20 (0.77, 1.89)
Nutritional advice 0.98 (0.42, 1.88)
Calcium 0.48 (0.33, 0.69)
Antioxidants 0.61 (0.50, 0.75)
Altered dietary salt 1.11 (0.46, 2.66)
Rest alone for normal BP 0.05 (0.00, 0.83)
Exercise 0.31 (0.01, 7.09)
Bed rest for high BP 0.98 (0.80, 1.20)
Ambulatory BP
1
4
4
43
19
4
2
1
2
1
3
1
12
7
2
1
2
1
0
128
170
1391
33439
2402
1683
474
100
284
782
512
136
15206
6082
631
32
45
228
0
Relative Risk (95% Confidence Interval)
RR (95% CI)Intervention No of RCTs No of women
Primary Prevention Of PE
Uterine artery Doppler ultrasound
Impaired trophoblastic invasion of the spiral
arteries: reduction in uteroplacental blood flow}
•High pulsatility index and/or Notch in 1st & 2nd
trimesters: poor predictor of PE(Papgeorghiou & Leslie, 2007)
Uterine artery Doppler plus biochemical markers
•Promising results
•Current data do not support this combination for
routine screening for PE (Barton& Sibai, 2008).
Early-onset
preeclampsia(<34
wks’)
Late-onset
preeclampsia(<3
4 wks’)
Recurrent
preeclampsia
Effective
available
Maternal
variables+matern
al MAP+uterine
artery
Doppler+PAPP-A
and PIGF in First
trimester yielded
94.1% sen and
94.3%spec(FPR5%)
(Poon et al.2009)
Poor prediction
(35.7%) From
Poon’s model
By history
alone,overall
recurrence is
14.7%
 <
25wks’:38.6%
 29-32
wks’:29.1%
 33-36 wks’:
21.9%
 ≤ 37
wks’:12.9%
(Mostello et
al.2008)
Reduce
maternal,perin
atal
morbidities
To be proven Screening may
not significantly
reduce
morbidities
Aspirin 75mg/D
started after
12wks’(NICE
2011)
Pointing to To be To be proven No
Clinical
examination
Sensitivity Specificity
Body mass index
(BMI)
BMI ≥ 25 47%(33-61) 73%(64-83)
BMI ≥ 30 19%(19-20) 90%(88-93)
BMI ≥ 35 21%(12-31) 92%(89-95)
Blood pressure in
the first trimester
Mean arterial
pressure ≥90mmHg
62%(35.89) 82%(72-92)
Hemodynamic
investigations
Uterine artery
doppler in second
trimester
High PI and
notching in low-risk
23%(14-35) 99%(98-99)
High PI and
notching in high-risk
83%(36-100) 96%(90-99)
HbF and A1M play a role in the
pathophysiology of PE .
The biochemical markers appear as early as 10
weeks of gestation .
can be measured with basic ELISA techniques
and show a high prediction rate at a low
false positive level.
Serum HbF and A1M ↑↑ at 10 to
16 weeks’ who subsequently
developed PE.
HbF and adult hemoglobin
(HbA) significantly correlated to
maternal BP in patients with
established PE
 Maternal plasma free HbF
correlate well with severity, i.e.
blood pressure, in term PE
pregnancies .
 bind and degrade heme
 Free radical-scavenger properties , protect
tissues against extracellular Hb, heme and ROS .
Pathogenic role of Hb and protective role of A1M
in PE is supported by placenta perfusion
experiments .
Maternal serum HbF and A1M- predictive and
diagnostic markers for PE, have shown
promising results .
 The genes on which the errors were
identified (MCP factor I and factor H) play a
role in regulating immune response .
 This could explain their possible link to PE
 Women with lupus and other autoimmune
diseases - in the study - ↑↑ed risk of PE.
Not a
Predictive
Marker
Biomarker 1st trim 2nd trim Symptomatic Combination Also
correlated
with
PAPP-A ↓ ↓ ↓ SGA
PP-13 ↓ ↑ ↑ US UIGR,preter
m
Fdna ↑ ↑ ↑ Inhibin-A IUGR,
polydramios
trisomy
21,18
preterm
DNA ↑
SFlt-1 ↑ ↑ sEng, PIGF,
VEGF, US
PIGF ↓ ↓ ↓ sEng,sFit-1 SGA
sEng ↑ ↑ sFit-1,PIGF,US IUGR, HELLP
P-selectin ↑ ↑ ↑ Activin A,sFit-1
PTX-3 ↑ ↑ ↑ IUGR
Summary of Potential Serum Biomarkers for Prediction of Preeclampsia
There is no proven
effective method for
prevention of
Preeclampsia
Pharmacological
prophylaxis
Nutritional
supplement
Lifestyle
intervention and
diet
 Antiplatelet
agents
 Nitric oxide
agents
 Low-molecular
weight heparin
 Antihypertensive
s for mild and
moderate
hypertension
 Progesterone
 Diuretics
 Calcium
 Antioxidant
 Folic acid
 Magnesium
 Marine oil and
prostaglandin
precursors
 Rest
 Exercise
 Altered dietary
salt
 Energy and
protein intake
 Garlic
CAN COMBINED SCREENING LEAD TO TRAGETED PREVENTATIVE THERAPY?
Treatments evaluated for preeclampsia prevention
Aspirin
Largely ineffective, except in subgroup of
“clinically” high-risk women
Nitric oxide donors Ineffective
Diuretics ineffective
Progesterone ineffective
Low-molecular weight heparin
Largely ineffective, except in small subgroup
of thrombophiliac
Recombinant investigational
Calcium
Largely ineffective, except
in setting of low dietary
calcium intake (<600
mg/day or corresponding to
less than two dairy servings
per day)
Magnesium Ineffective
Folic Acid Ineffective
Antioxidants (vitamin C&E) Ineffective
Efficacy of medications proposed to prevent preeclampsia
Efficacy of dietary supplements proposed to prevent preeclampsia
Folic 0.46(0.16-1.31)
Magnesium 0.87(0.57-1.32)
Marine oil 0.86(0.59-1.27)
Lifestyle interventions
Rest 0.05(0-0.83)
Exercise 0.31(0.01-7.09)
Altered dietary 1.11(0.46-2.66)
Energy and protein intake 1.2(0.77-1.89)
Garlic 0.78(0.31-1.93)
Intervention RR(95% CI
Pharmacologic
Anti-platelets 0.90(0.84-0.97)
Nitric oxide 0.83(0.49-1.41)
Low-malecular weight
heparin
0.23(0.08-0.68)
Antihypertensives 0.97(0.83-0.68)
Progesterone 0.21(0.03-1.77)
 At 11-13 weeks aim for early prediction of
early PE
BECAUSE PREVALENCE CAN BE
POTENTIALLY REDUCED BY THE
PROPHYLACTIC USE OF LOW-DOSE
ASPIRIN (started before 16 weeks
Gestation
 What are the cut-offs? Gestational age specific? sFlt-
1/PIGF or PIGF/sFlt-1 ratio?
 When to start the testing, and at what interval?
 Preeclampsia is a heterogeneous disease. The disease
with an earlier onset (<32 Weeks’) is more
homogeneous and more predictable.
 Incorporation into first or second trimester selecting
for fetal Down syndrome? Genetic susceptibility must
be taken into account.
 Expectant management of second preeclampsia
(prediction of disease progression)?
 Can serum antigenic peptides help selecting suitable
candidate and predict the perinatal outcomes?
 There is no clinically useful test to predict
Pre-eclampsia at present
 Care must be given to cost effectiveness and
applicability to general practise
When U know something, to hold
that you know it &
when U don’t know something,
to allow that you don’t know it,
that is Knowledge
Confucius ( 55BC – 479
BC)
Prediction and prevention of preeclampsia

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Prediction and prevention of preeclampsia

  • 1. Ruchika Garg Assistant Professor Dept of Obstetrics and Gynecology SN Medical College,Agra
  • 3.  Inflammation  Immunological  Prostaglandin imbalance  Angiogenic factors  Toxins  Malnutrition  Vitamin Deficiency  Stress
  • 4. Screening by Maternal History Rates of preeclampsia depend on: severity of underlying complications& combinations of risk factors. Risk %Risk factors 15-40Chronic hypertension/renal disease 10-35Pre gestational DM 10-20Connective tissue disease (lupus, rheumatoid arthritis) 10-40Thrombophilia (acquired or congenital) 10-15Obesity/insulin resistance 10-20Age older than 40 y 10-35Limited sperm exposure 10-15Family history of preeclampsia/ cardiovascular disease 1.5 foldWoman born as SFGA 2-3 foldAdverse outcome in a previous pregnancy: IUGR, abruptio placentae, IUFD
  • 6. SCREENING TESTS FOR PE (WHO, 2004) I. Placental perfusion & vascular resistance dysfunction Mean arterial blood pressure Roll over test Doppler ultrasound Isometric exercise test Intravenous infusion of angiotensin II Platelet angiotensin II binding Platelet calcium response to arginine vasopressin Renin 24-hour ambulatory blood pressure monitoring
  • 7. • Human chorionic gonadotropin • Alpha fetoprotein • Estriol • Inhibin A • Pregnancy- associated plasma protein A • Activin A • Corticotropin release hormone
  • 8. III. Renal dysfunction Serum uric acid Microalbuminuria Urinary calcium excretion Urinary kallikrein Microtransferrinuria N-acetyl- glucosarninidase
  • 9.  , 1. Platelet count 2. Platelet activation and endothelial cell adhesion molecules 3. Prostacyclin 4. Cytokines 5. Isoprostanes, 6. Antiphospholipid antibodies
  • 10. •Fibronectin •Endothelin •Thromboxane •Homocysteine •Serum lipids • Insulin resistance •Plasminogen activator inhibitor •Leptin •Total proteins •Magnesium •Ferritin •Haptoglobin •microglobulin •Genetic marker
  • 11.  Play a central role in the pathogenesis and be specific for the condition.  Appear early or before the clinical manifestations.  Placental factors that can be detected early in pregnancy are likely to be good biochemical markers for PE prediction.
  • 12.  Correlates with clinical severity of preeclampsia and perinatal outcomes. Despite a good amount of studies, not of all studies suggest that the serum uric acid levels may begin to rise before the onset of hypertension and proteinuria.
  • 13. an early sign of renal involvement in preeclampsia- ↓↓ renal clearance due to altered tubular processing of uric acid preceding glomerular affliction.  the discriminatory value of serum uric acid as a predictor of preeclampsia remains to be proven
  • 14. . Recent study- sensitivity of 22% specificity of 85% for prediction of PE. The disappointing results of recent studies raises doubts about usefulness as a continuing test.
  • 15. I. Biophysical Mean arterial pressure •Better predictor of PE than S& D BP (BMJ 200817;336:111; Meta-analysis of 34 RCT) 2nd trimester MA BP ≥ 90 mm Hg had +ve LR 3.5 and –ve LR 0.46 •BP remains the cornerstone of early diagnosis although it has limitations: measurement errors associated with sphygmomanometer effect of maternal posture on BP in pregnant women.
  • 16. • 84% developed PE. • Microproteinuria > 375mg/l may be significant •Could be utilized as a screening test for the early detection of a woman at risk of developing preeclampsia. •There is no diagnostic value of microalbuminuria and the calcium/creatinine ratio when used alone.
  • 17.  Suggested as a predictive first trimester marker for PE .  Given the low screening performance of the study, cystatin C is probably not clinically useful as a single marker but could be useful in combination with other biochemical markers.
  • 18.  Suggest that possible cellular battle against mitochondria-originated oxidative stress test resulting in recovery or apoptosis.  The over expression of chaperonin 60, GST, VDAC, Erp29 and cathespin D in PE makes it a ideal marker of predicting preeclampsia .
  • 19.  Women with PE present a unique urine proteomic fingerprint composed of SERPINA1 and albumin fragments that predicts PE in need of mandated delivery with highest accuracy.  To distinguish preeclampsia from other hypertensive or proteinuric disorders in pregnancy.
  • 20. Cell free DNA is a promising new marker. Increased before the onset of disease Int j Mol Sci 2015
  • 21.  Urinary excretion of N-acetyl-beta- glucosaminidine, a lysosomal enzyme of the renal tubular cells ↑↑↑ in normal pregnant women and in woman with transient hypertension Vs non pregnant healthy controls.  In PE, the increase was much higher than corresponding to their gestational age
  • 22.  Pre-eclampsia Vs gestational hypertension or chronic hypertension. ↑↑↑Thrombomodulin may serve as a clinical marker to differentiate preeclampsia from other disorders of pregnancy.
  • 23. •in the first trimester is a example where a combination of ultrasound and biochemical markers are used. • Measurement of other indices with inhibin A can produce a test with greater sensitivity for PE as occurs with triple or quadruple blood tests for Down's syndrome ?
  • 24.  Inhibin A is the best predictor of Pre-eclampsia out of unconjugated estriol,beta hcg at second Trimester. A more sensitive marker for the prediction of preeclampsia than hCG. hCG + inhibin did not improve the screening efficiency for preeclampsia suggesting that inhibin-A and hCG are markers of the same underlying pathological process Fetal Diag Therapy 2011
  • 25. Midtrimester beta-hCG levels alone correlated significantly with the severity of preeclampsia.  Combination of Maternal Serum hCG levels, BMI,parity and age as a predictive test for preeclampsia was far superior to hCG alone. Sensitivity of 70% , Specificity of 71 %.
  • 26.  Serum levels of collagen synthesis, procollagen I, carboxy- terminal peptide (PICP) and procollagen111 amino-terminal peptide (PIIIP), in patients with preeclampsia and controls.  The markers were mildly elevated in preeclampsia, but unlikely to be useful in the prediction of preeclampsia
  • 27. Preeclampsia is a 2 stage disorder  Stage 1 Invasion of Spiral Arteries into myometrium is inadequate.Stage 2 in late pregnancy Oxidatively stressed placenta releases antiangiogenic proteins Tyrosine kinase 1 ,PGs and Cytokines.Hypoxic placenta reduces the production of pro angiogenic factors –Placental Growth Factor PIGF,VEGF
  • 28.  Glycoprotein synthesized in the placenta  Maternal plasma conc. increases through out pregnancy.  PAPP-A ,b-hCG and nuchal translucency thickness, to screen for trisomy 21, 13 and 18 at 11 to 13 weeks GA.  In fetuses with normal chromosomes ↓ PAPP- A in 1st trimes - ↑↑↑ risk for PE, IUGR, SGA and preterm delivery
  • 29.  when used as a single biochemical marker, is only about 10 to 20 % Sensitive.  Combined with Doppler ultrasound, PAPP-A is a powerful predictive biochemical marker of PE  prediction rates of 70% at false positive rates of 5%.  At term, plasma PAPP-A have been shown to increase in pregnancies complicated by PE and HELLP, but its concentration is still not predictive
  • 30.  a member of the galectin family  produced by the placental trophoblast cells and is associated with normal placentation. In normal pregnancies, serum PP13 slowly rise with GA. ↓↓ levels in the first trimester in pregnancies that subsequently develop PE.
  • 31. Serum screening + Doppler ultrasound pulsatility index (PI), Prediction rate 71% at a false positive 10% PP13 was concluded to be a reasonable biochemical marker for early onset and preterm PE but a weak marker for PE at term
  • 32.  Endoglin is homodimeric transmembrane glycoprotein .
  • 33.  The levels correlate with the time of onset of clinically manifest PE and partly with disease severity.  Early-onset PE exhibits higher levels of sFlt  ↑↑ is observed ~5 weeks before onset of PE
  • 34. .  . soluble endoglin (s-Eng) . sEng+ Doppler ultrasound (PI) and PlGF, the prediction rate for early onset PE was 77.8% at a false positive rate of 5% sFlt-1 levels are stable during early & mid gestation ,then increase significantly during late stages
  • 35. Maternal plasma sEng and Uterine artery PI are ↑↑. PIGF and PAPP-A are ↓ Uterine Artery PI was ↑↑ .but no significant difference in the maternal plasma conc.of sEng or sPAPP-A Late PE
  • 36.  .  Low increase in PlGF in early pregnancy ,independent of change in sFlt-1 is associated with high risk –PE. Low or no ↑↑ in serum free PlGF , VEGF & high conc. of sFlt-1 a strong predictor of early PE. Low increase in PlGF & low ↑↑ in sFlt are associated with 10 fold higher risk of pre term PE
  • 37. In the unaffected group, multiple regression analysis - at 30-33 weeks serum sEng for third- trimester log10 sEng was significantly lower in women of Afro-Caribbean racial origin than in Caucasians , higher in nulliparous than in parous women. Consequently sEng must be adjusted for these variables before comparing with pathological pregnancies
  • 38. Higher sEng in women developing PE and the inverse relation between the level of sEng and GA at delivery for PE is compatible with the role of this anti-angiogenic factor in inducing vascular endothelial cell injury and dysfunction before the clinical onset of the disease
  • 39.  sEng+ Doppler ultrasound (PI) and PlGF, the prediction rate for early onset PE was 77.8% at a FP rate of 5%
  • 40.
  • 41.
  • 42.
  • 43.  As a single biochemical marker, PlGF has been shown to predict 53.5% of early onset PE at a false positive rate of 5%  at a false positive rate of 10% in late first trimester.
  • 44. PlGF could be a promising biochemical marker even in the first trimester particularly if combined with HbF and A1M.
  • 45.  Increase in sFlt -1 ,↓PIGF and VEGF .  sFlt-1 soluble vascular endothelial growth factor receptor-1
  • 46. 69 (60 - 77) 0 20 40 60 80 100 Doppler combinations of FVW Doppler resistance index Doppler pulsatility index Doppler other ratios Doppler bilateral notching Doppler any/unilateral notching SDS Page proteinuria 100 (88 - 100) Kallikreinuria Microalbumin/creatinine ratio Microalbuminuria Total albuminuria Total proteinuria Urinary calcium/creatinine ratio Urinary calcium excretion Serum uric acid Oestriol HCG Foetal DNA Fibronectin total Fibronectin cellular AFP BMI<19.8 BMI>24.2 BMI>29 0 20 40 60 80 100 BMI>34 25 29 8 8 21 19 1 1 1 2 2 4 6 4 5 3 16 3 3 2 12 7 9 8 2 22896 7982 14697 2619 29331 14345 153 307 1422 190 88 2228 1345 705 514 26811 72732 351 373 135 137097 152720 440214 410823 16200 11 (8 - 16) 41 (29 - 53) 23 (15 - 33) 18 (15 - 21) 64 (54 - 74) 66 (54 - 76) 48 (29 - 69) 55 (37 - 72) 48 (34 - 62) 63 (51 - 74) 19 (12 - 28) 62 (23 - 90) 70 (45 - 87) 35 (13 - 68) 50 (36 - 64) 57 (24 - 84) 36 (22 - 53) 26 (9 - 56) 24 (16 - 35) 50 (31 - 69) 65 (42 - 83) 50 (30 - 70) 9 (5 - 16) 83 (52 - 98) 80 (73 - 86) 75 (62 - 84) 88 (80 - 93) 93 (87 - 97) 86 (82 - 90) 80 (74 - 85) 87 (75 - 94) 80 (73 - 86) 92 (87 - 95) 82 (74 - 87) 75 (73 - 77) 68 (57 - 77) 89 (79 - 94) 89 (79 - 94) 80 (66 - 89) 74 (69 - 79) 83 (73 - 90) 82 (61 - 93) 89 (86 - 92) 88 (80 - 93) 94 (86 - 98) 96 (79 - 99) 96 (94 - 98) 98 (98 - 100) Sensitivity Specificity Sn (95% CI)Test No of studies No of women Sp (95% CI) Prediction of preeclampsia Methods of prediction and prevention of pre-eclampsia: systematic reviews of accuracy and effectiveness literature with economic modelling CA Meads, et al 2008
  • 47. 0.01 0.1 0.2 0.5 1 2 5 10 Progesterone 0.21 (0.03, 1.77) Nitric oxide donors and precursors 0.83 (0.49, 1.41) Diuretics 0.68 (0.45, 1.03) Antiplatelets 0.81 (0.75, 0.88) Antihypertensives v none 0.99 (0.84, 1.18) Marine oils 0.86 (0.59, 1.27) Magnesium 0.87 (0.57, 1.32) Garlic 0.78 (0.31, 1.93) Energy/protein restriction 1.13 (0.59, 2.18) Isocaloric balanced protein supplementation 1.00 (0.57, 1.75) Balanced protein/energy intake 1.20 (0.77, 1.89) Nutritional advice 0.98 (0.42, 1.88) Calcium 0.48 (0.33, 0.69) Antioxidants 0.61 (0.50, 0.75) Altered dietary salt 1.11 (0.46, 2.66) Rest alone for normal BP 0.05 (0.00, 0.83) Exercise 0.31 (0.01, 7.09) Bed rest for high BP 0.98 (0.80, 1.20) Ambulatory BP 1 4 4 43 19 4 2 1 2 1 3 1 12 7 2 1 2 1 0 128 170 1391 33439 2402 1683 474 100 284 782 512 136 15206 6082 631 32 45 228 0 Relative Risk (95% Confidence Interval) RR (95% CI)Intervention No of RCTs No of women Primary Prevention Of PE
  • 48. Uterine artery Doppler ultrasound Impaired trophoblastic invasion of the spiral arteries: reduction in uteroplacental blood flow} •High pulsatility index and/or Notch in 1st & 2nd trimesters: poor predictor of PE(Papgeorghiou & Leslie, 2007) Uterine artery Doppler plus biochemical markers •Promising results •Current data do not support this combination for routine screening for PE (Barton& Sibai, 2008).
  • 49. Early-onset preeclampsia(<34 wks’) Late-onset preeclampsia(<3 4 wks’) Recurrent preeclampsia Effective available Maternal variables+matern al MAP+uterine artery Doppler+PAPP-A and PIGF in First trimester yielded 94.1% sen and 94.3%spec(FPR5%) (Poon et al.2009) Poor prediction (35.7%) From Poon’s model By history alone,overall recurrence is 14.7%  < 25wks’:38.6%  29-32 wks’:29.1%  33-36 wks’: 21.9%  ≤ 37 wks’:12.9% (Mostello et al.2008) Reduce maternal,perin atal morbidities To be proven Screening may not significantly reduce morbidities Aspirin 75mg/D started after 12wks’(NICE 2011) Pointing to To be To be proven No
  • 50. Clinical examination Sensitivity Specificity Body mass index (BMI) BMI ≥ 25 47%(33-61) 73%(64-83) BMI ≥ 30 19%(19-20) 90%(88-93) BMI ≥ 35 21%(12-31) 92%(89-95) Blood pressure in the first trimester Mean arterial pressure ≥90mmHg 62%(35.89) 82%(72-92) Hemodynamic investigations Uterine artery doppler in second trimester High PI and notching in low-risk 23%(14-35) 99%(98-99) High PI and notching in high-risk 83%(36-100) 96%(90-99)
  • 51. HbF and A1M play a role in the pathophysiology of PE . The biochemical markers appear as early as 10 weeks of gestation . can be measured with basic ELISA techniques and show a high prediction rate at a low false positive level.
  • 52. Serum HbF and A1M ↑↑ at 10 to 16 weeks’ who subsequently developed PE. HbF and adult hemoglobin (HbA) significantly correlated to maternal BP in patients with established PE
  • 53.  Maternal plasma free HbF correlate well with severity, i.e. blood pressure, in term PE pregnancies .
  • 54.  bind and degrade heme  Free radical-scavenger properties , protect tissues against extracellular Hb, heme and ROS . Pathogenic role of Hb and protective role of A1M in PE is supported by placenta perfusion experiments . Maternal serum HbF and A1M- predictive and diagnostic markers for PE, have shown promising results .
  • 55.  The genes on which the errors were identified (MCP factor I and factor H) play a role in regulating immune response .  This could explain their possible link to PE  Women with lupus and other autoimmune diseases - in the study - ↑↑ed risk of PE.
  • 57. Biomarker 1st trim 2nd trim Symptomatic Combination Also correlated with PAPP-A ↓ ↓ ↓ SGA PP-13 ↓ ↑ ↑ US UIGR,preter m Fdna ↑ ↑ ↑ Inhibin-A IUGR, polydramios trisomy 21,18 preterm DNA ↑ SFlt-1 ↑ ↑ sEng, PIGF, VEGF, US PIGF ↓ ↓ ↓ sEng,sFit-1 SGA sEng ↑ ↑ sFit-1,PIGF,US IUGR, HELLP P-selectin ↑ ↑ ↑ Activin A,sFit-1 PTX-3 ↑ ↑ ↑ IUGR Summary of Potential Serum Biomarkers for Prediction of Preeclampsia
  • 58. There is no proven effective method for prevention of Preeclampsia
  • 59. Pharmacological prophylaxis Nutritional supplement Lifestyle intervention and diet  Antiplatelet agents  Nitric oxide agents  Low-molecular weight heparin  Antihypertensive s for mild and moderate hypertension  Progesterone  Diuretics  Calcium  Antioxidant  Folic acid  Magnesium  Marine oil and prostaglandin precursors  Rest  Exercise  Altered dietary salt  Energy and protein intake  Garlic CAN COMBINED SCREENING LEAD TO TRAGETED PREVENTATIVE THERAPY? Treatments evaluated for preeclampsia prevention
  • 60. Aspirin Largely ineffective, except in subgroup of “clinically” high-risk women Nitric oxide donors Ineffective Diuretics ineffective Progesterone ineffective Low-molecular weight heparin Largely ineffective, except in small subgroup of thrombophiliac Recombinant investigational Calcium Largely ineffective, except in setting of low dietary calcium intake (<600 mg/day or corresponding to less than two dairy servings per day) Magnesium Ineffective Folic Acid Ineffective Antioxidants (vitamin C&E) Ineffective Efficacy of medications proposed to prevent preeclampsia Efficacy of dietary supplements proposed to prevent preeclampsia
  • 61. Folic 0.46(0.16-1.31) Magnesium 0.87(0.57-1.32) Marine oil 0.86(0.59-1.27) Lifestyle interventions Rest 0.05(0-0.83) Exercise 0.31(0.01-7.09) Altered dietary 1.11(0.46-2.66) Energy and protein intake 1.2(0.77-1.89) Garlic 0.78(0.31-1.93)
  • 62. Intervention RR(95% CI Pharmacologic Anti-platelets 0.90(0.84-0.97) Nitric oxide 0.83(0.49-1.41) Low-malecular weight heparin 0.23(0.08-0.68) Antihypertensives 0.97(0.83-0.68) Progesterone 0.21(0.03-1.77)
  • 63.  At 11-13 weeks aim for early prediction of early PE BECAUSE PREVALENCE CAN BE POTENTIALLY REDUCED BY THE PROPHYLACTIC USE OF LOW-DOSE ASPIRIN (started before 16 weeks Gestation
  • 64.  What are the cut-offs? Gestational age specific? sFlt- 1/PIGF or PIGF/sFlt-1 ratio?  When to start the testing, and at what interval?  Preeclampsia is a heterogeneous disease. The disease with an earlier onset (<32 Weeks’) is more homogeneous and more predictable.  Incorporation into first or second trimester selecting for fetal Down syndrome? Genetic susceptibility must be taken into account.  Expectant management of second preeclampsia (prediction of disease progression)?  Can serum antigenic peptides help selecting suitable candidate and predict the perinatal outcomes?
  • 65.  There is no clinically useful test to predict Pre-eclampsia at present  Care must be given to cost effectiveness and applicability to general practise
  • 66. When U know something, to hold that you know it & when U don’t know something, to allow that you don’t know it, that is Knowledge Confucius ( 55BC – 479 BC)