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MOBILE
BEST DATA PLANLorem Ipsum has two main statistical methodologies are used in data analysis which
summarizes data from a sample using indexes Tempor mediocrem imperdiet no usu,
tractatos salutatus ut est. Eu vel detraxit laboramus. Cu nam unum liber audiam.
Management of low
prognosis patients
Dr. Matheus Roque
ORIGEN – Center for Reproductive Medicine -
BRAZIL
Singapore
Presentation Goals
THE BEST OVARIAN STIMULATION
THE BEST TRIGGER
THE BEST MOMENT
- Low prognosis patients – new stratification
- To add or not to add LH ?
- hCG?
- GnRH agonist?
- Dual trigger?
- Fresh vs. Freeze-all
Are we forgetting something?
INDIVIDUALIZATION
Management of low prognosis patients
Similar Groups
Compare Results
Research
Select the best protocol for each group
Individualized Controlled
Ovarian Stimulation
(iCOS)
Individualized
LAboratory TEchniques
(iLATE)
Individualized
Embryo Transfer
(iET)
Biomarkers of ovarian response
STRATIFICATION
INDIVIDUALIZATION
Management of low prognosis patients
Select the best protocol for each group
Individualized Controlled
Ovarian Stimulation
(iCOS)
Individualized
Embryo Transfer
(iET)
STRATIFICATION
NORMAL HIGHPOOR
Management of low prognosis patients
Stratification
Traditional
Stratification
1-3
oocytes
4-15
oocytes
> 15
oocytes
?
16.9%
29.7%
33.4%
32.1%
1-3 oocytes4-9 oocytes10-15 oocytes>15 oocytes
Drakopoulos et al., Hum Reprod 2016
21.7%
39.7%
50.5%
61.5%
1-3 oocytes4-9 oocytes10-15 oocytes>15 oocytes
LIVE-BIRTH FRESH CYCLE CUMULATIVE LIVE-BIRTH
SUB-OPTIMAL RESPONDER
Stratification
Management of low prognosis patients
Management of low prognosis patients
Sub-optimal / Hypo-responders
• 10%-15%ofpatients withnormalAFCandAMHwillpresent aninadequate
response
• Granulosa cellsHypo-sensitivity toFSH;Suboptimal response (4-9oocytes)
• Associatedwithhigher FSHdoses (>2,500IUFSH);lowerpregnancy rates
• Genomic profile->Polymorphisms (most commonFSHreceptor andv-betaAlviggi et al., Springer 2016
5º. – 6º. day
COS
Genro et al., Hum Reprod 2011
Sub-optimal / Hypo-responders
Follicular Output RaTe (FORT)
Antral follicle responsiveness to FSH
Management of low prognosis patients
Genro et al., Hum Reprod 2011
Sub-optimal / Hypo-responders
Antral follicle
(3-8mm) count (AFC)
at baseline
Pre-ovulatory follicle
(16-22 mm) count (PFC)
on day of hCG
PFC x 100
AFC
FORT
Calculation
Follicular Output RaTe (FORT)
Management of low prognosis patients
Sub-optimal / hypo-responders
Polymorphism
FSH receptor gene LHβ gene
Laan et al., Curr Opin Endocrinol Diabetes Obes, 2012 Manna et al., Hum Mol Genetics, 2002
Management of low prognosis patients
Stratification
Traditional
Stratification
1-3
oocytes
4-15
oocytes
> 15
oocytes
POOR
SUB
OPTIMAL
OPTIMAL
HIGH
1-3 oocytes4-9 oocytes10-15 oocytes>15 oocytes
NORMAL HIGHPOOR
New stratification ?
What about the
POOR RESPONDERS?
Management of low prognosis patients
Stratification
POOR RESPONDERS - BOLOGNA CRITERIA
Ferraretti et al., Hum Reprod 2011
OR
≧40y
OR
follicles
2 of 3
EvenBologna criteria canbeHETEROGENEOUS…
Decreasedoocytequality/increasedembryoaneuploidy
Management of low prognosis patients
All available stratifications
POOR
SUB
OPTIMAL
OPTIMAL
HIGH
1-3 oocytes4-9 oocytes10-15 oocytes>15 oocytes
Only
QUANTITY !
What about
QUALITY !
Management of low prognosis patients
The importance of the NUMBER / QUALITY of
oocytes
The importance of the number of oocytes
Management of low prognosis patients
The importance of the NUMBER / QUALITY of
oocytes
NEW CONCEPT - POSEIDONPOSEIDON Group
Patient-Oriented Strategies Encompassing
IndividualizeD Oocyte Number
LOW PROGNOSIS PATIENTS
POSEIDON Group, Fertil Steril 2016
Management of low prognosis patients
POSEIDON GROUP
Created in 2015 (Carlo Alviggi_Itália)
Peter Humaidan
(Dinamarca)
Klaus Bühler
(Alemanha)
Robert Fischer
(Alemanha)
Alessandro Conforti
(Itália)
Sandro Esteves
(Brasil)
Claus Andersen
(Dinamarca)
Filippo Ubaldi
(Itália)
Founders:
Management of low prognosis patients
POSEIDON Group, Fertil Steril 2016
* Individualized treatment based on prognostic
categories
*Ability to retrieve the number of oocytes necessary to
obtain at least one euploid embryo for transfer in
each patient
The importance of the NUMBER / QUALITY of
oocytes
NEW CONCEPT - POSEIDON
Management of low prognosis patients
POSEIDON
Low Prognosis Patients
POSEIDON Group, Fertil Steril 2016
YOUNG
Poor response
ADVANCED REPRODUCTIVE AGE
Poor response
YOUNG
Poor response
ADVANCED MATERNAL AGE
Poor response
GOOD OVARIAN RESERVE
POOR OVARIAN RESERVE
Management of low prognosis patients
POSEIDON
POSEIDON Group, Fertil Steril 2016
*Group 1
<35 years
1a: <4 oocytes
1b: 4-9 oocytes
*Group 3
< 35 years
*Group 2
≥35 years
2a: <4 oocytes
2b: 4-9 oocytes
GOOD OVARIAN RESERVE
(AFC ≥5; AMH ≥1.2ng/mL)
*Group 4
≥35 years
POOR OVARIAN RESERVE
(AFC<5; AMH<1.2 ng/mL)
Hypo-
responders
Management of low prognosis patients
POSEIDON CALCULATOR
* POSEIDON Calculator – process of validation – Courtesy from Sandro Esteves
Management of low prognosis patients
POSEIDON CALCULATOR
* POSEIDON Calculator – process of validation – Courtesy from Sandro Esteves
Management of low prognosis patients
Presentation Goals
THE BEST OVARIAN STIMULATION
- Low prognosis patients – new stratification
- To add or not to add LH ?
LH and Folliculogenesis
Management of low prognosis patients
Courtesy from Dr Sandro Esteves
LH and Folliculogenesis
Management of low prognosis patients
Courtesy from Dr Sandro Esteves
Who needs LH supplementation ?
Indications for LH supplementation:
• Hypo- / Suboptimal response
Who needs LH supplementation?
Management of low prognosis patients
Indications for LH supplementation:
• Hypo- / Suboptimal response
• Advanced maternal age (>35 years old)
Who needs LH supplementation?
Management of low prognosis patients
Indications for LH supplementation:
• Hypo- / Suboptimal response
• Advanced maternal age (>35 years old)
• Poor Ovarian Responders ?
Who needs LH supplementation?
Management of low prognosis patients
I will add LH, however...
Rec-LH or hCG (hMG) ???
Management of low prognosis patients
Esteves SC, 2015
LH vs hCG
Differences in LH activity of gonadotropins
Management of low prognosis patients
LH vs. hCG
Esteves and Alviggi, Springer 2015
LH vs. hCG – are there differences in embryo
quality?
Management of low prognosis patients
The effect of stimulation protocols in embryo quality
Embryo Viability Assessment
Unpublished data - Marcos Meseguer
N= 319 ICSI cycles
• r-FSH + r-LH vs. hMG
LH vs. hCG
Oocyte / Embryo Quality
Management of low prognosis patients
The effect of stimulation protocols in embryo quality
Embryo Viability Assessment
N= 319 ICSI cycles
• r-FSH + r-LH vs. hMG
Unpublished data - Marcos Meseguer
LH vs. hCG
Oocyte / Embryo Quality
Management of low prognosis patients
The effect of stimulation protocols in embryo quality
Embryo Viability Assessment
N= 319 ICSI cycles
• r-FSH + r-LH vs. hMG 0
2
4
6
8
10
12
14
hMG (n=1005) FSH+LH (n=427)
7.86
12.18
% of HIGH EMBRYOS p=0,035
*
Unpublished data - Marcos Meseguer
LH vs. hCG
Oocyte / Embryo Quality
Management of low prognosis patients
The effect of stimulation protocols in embryo quality
Embryo Viability Assessment
N= 319 ICSI cycles
• r-FSH + r-LH vs. hMG
% of HIGH quality embryos (Eeva) according to stimulation
protocols;
Logistic Regression analysis
Model effect values OR p value
Gonadotrophin FSH+LH vs. hMG 1.88 (1.17-3.02) 0.010
Oocyte recovered number 0.99 (0.97-1.03)
per oocyte
NS
Age Years 0.96 (0.97-1.03) NS
BMI Units 0.94 (0.94-1.02) NS
FSH+LH protocol produce 1.88 times more HIGH quality
embryos according to Eeva Algorithm
Unpublished data - Marcos Meseguer
LH vs. hCG
Oocyte / Embryo Quality
Management of low prognosis patients
LH vs hCG
Clinical evidence ?
Management of low prognosis patients
Fábregues et al., Gynecol Endocrinol 2014
LH vs hCG
Clinical evidence
* Disclaimer: Lutropin alfa concomitantly administered with Follitropin Alfa for injection is indicated for stimulation of follicular
development in infertile hypogonadotropic hypogonadal women with profound LH deficiency (LH<1.2 IU/L)’.
Management of low prognosis patients
Bühler and Fischer, Gynecol Endocrinol 2012
LH vs hCG
Clinical evidence
* Disclaimer: Lutropin alfa concomitantly administered with Follitropin Alfa for injection is indicated for stimulation of follicular
development in infertile hypogonadotropic hypogonadal women with profound LH deficiency (LH<1.2 IU/L)’.
0
5
10
15
20
25
30
35
No. Oocytes Implantation Rate Clinical Pregnancy Rate
9
19
31.3
7.8
13.9
26
%
r-hFSH + r-hLH (n=1,573) hMG (n=1,573)
German IVF Register
Management of low prognosis patients
Revelli et al, Reprod Biol and Endocrinol 2015
LH vs hCG
Pregnancy rate / embryo transfer vs. No. MII
Management of low prognosis patients
Revelli et al, Reprod Biol and Endocrinol 2015
LH vs hCG
OR pregnancy
Management of low prognosis patients
Presentation Goals
THE BEST OVARIAN STIMULATION
- Low prognosis patients – new stratification
- To add or not to add LH ?
Presentation Goals
THE BEST OVARIAN STIMULATION
THE BEST TRIGGER
- Low prognosis patients – new stratification
- To add or not to add LH ?
- hCG?
- GnRH agonist?
- Dual trigger?
• Traditionally -> hCG
• Mimic LH surge
• Resumption of meiosis
Trigger
Management of low prognosis patients
• OHSS
• Moreover...
• hCG
Trigger
Problems with hCG trigger
Management of low prognosis patients
Evans and Salamonsen, Hum Reprod 2013
Trigger
Problems with hCG trigger
Management of low prognosis patients
Evans and Salamonsen, Hum Reprod 2013
• Experimental model of
chronic low-dose and
acute high-dose hCG
exposure
hCG secreted by the blastocyst
hCG for triggering
Trigger
Problems with hCG trigger
Management of low prognosis patients
Evans and Salamonsen, Hum Reprod 2013
• Experimental model of
chronic low-dose and
acute high-dose hCG
exposure
hCG secreted by the blastocyst
hCG for triggering
Chronic low-dose hCG exposure mediated a down regulation and
internalization of the LHCGR in endometrial epithelial cells
Trigger
Problems with hCG trigger
Management of low prognosis patients
• Traditionally -> hCG
• Mimic LH surge
• Resumption of meiosis
Thus…
Potential problems with hCG trigger:
1. Safety – OHSS risk
2. Efecttiveness – altered endometrial pattern
hCG Trigger
Management of low prognosis patients
• Traditionally -> hCG
• Mimic LH surge
• Resumption of meiosis
Thus…
Potential problems with hCG trigger:
1. Safety – OHSS risk
2. Efecttiveness – altered endometrial receptivity?
SOLUTION???
hCG Trigger
Management of low prognosis patients
• In natural / antagonist cycles
• LH surge and also FSH surge
GnRH agonist Trigger
Management of low prognosis patients
• Concerned about the longer half-life of hCG compared to LH
GnRH agonist Trigger
Management of low prognosis patients
• In natural / antagonist cycles
• LH surge and also FSH surge
FSH surge:
1. + plasminogen activator activity with granulosa cells (GC) ->
dissociating the oocyte from the follicular wall and weakening the
wall (Strickland et al., 1976; Morioka et al., 1989)
GnRH agonist Trigger
Management of low prognosis patients
• In natural / antagonist cycles
• LH surge and also FSH surge
FSH surge:
1. + plasminogen activator activity with granulosa cells (GC) ->
dissociating the oocyte from the follicular wall and weakening the
wall (Strickland et al., 1976; Morioka et al., 1989)
2. Improved oocyte recovery with ↑ follicular fluid FSH levels
(Rosen et al., 2009)
GnRH agonist Trigger
Management of low prognosis patients
• In natural / antagonist cycles
• LH surge and also FSH surge
FSH surge:
1. + plasminogen activator activity with granulosa cells (GC) ->
dissociating the oocyte from the follicular wall and weakening the
wall (Strickland et al., 1976; Morioka et al., 1989)
2. Improved oocyte recovery with ↑ follicular fluid FSH levels
(Rosen et al., 2009)
3. FSH -> + LH receptors in GC; gap junctions opened between the
oocyte and cumulus cells; nuclear maturation; cumulus expansion
(Atef et al., 2005; Zelinski-Wooten et al., 1998; Andersen et al., 1999)
GnRH agonist Trigger
Management of low prognosis patients
GnRH agonist Trigger
Management of low prognosis patients
•Deficient luteal phase support
GnRH agonist Trigger
The problem with GnRHa trigger
Management of low prognosis patients
• Luteal phase support
Youssef et al, Cochrane 2014
Live Birth Rate GnRH agonist vs. hCG for triggering
OR 0.47 (95% CI: 0.31-0.70)
GnRH agonist Trigger
The problem with GnRHa trigger
Management of low prognosis patients
• Luteal phase support
Youssef et al, Cochrane 2014
Live Birth Rate GnRH agonist vs. hCG for triggering
OR 0.47 (95% CI: 0.31-0.70)
HOWEVER…
GnRH agonist Trigger
The problem with GnRHa trigger
Management of low prognosis patients
• Modified luteal phase support with LH activity
Haahr and Roque et al, ESHERE 2017
Figure 2. GnRHa trigger + modified LPS with LH activity versus hCG trigger, critical outcome live birth - ITT
Live Birth Rate GnRH agonist + modified LH activity LPS vs. hCG for
triggering
OR 0.77 (95% CI: 0.56-1.05)
GnRH agonist Trigger
The problem with GnRHa trigger
Management of low prognosis patients
• POTENTIAL ADVANTAGES OF GnRH agonist + hCG TRIGGER
• Increased luteal function with supplementation of hCG -> optimal support for
pregnancy
Dual trigger
Management of low prognosis patients
• RCT – hCG group (n=106) vs. hCG + triptorelin (n=105)
• hCG 5,000 IU vs. Triptorelin 0.2mg + hCG 5000 IU
Schachter et al, Fertil and Steril 2008
29.1
22.3
44.3
36.1
0
5
10
15
20
25
30
35
40
45
50
PR per ET Ongoing PR per ET
%
hCG only Dual trigger
Dual trigger
Management of low prognosis patients
Lin et al, Fertil and Steril 2013
• Retrospective study – hCG group (n=187) vs. hCG + triptorelin (n=191)
• R-hCG 6,500 IU vs. Triptorelin 0.2mg + hCG 6,500 IU
10.1
8
1.6
12.4
10.5
1.97
0
2
4
6
8
10
12
14
No. retrieved oocytes No. MII oocytes No. embryos cryop
%
hCG only Dual-trigger
P<0.05
Dual trigger
Management of low prognosis patients
• Retrospective study – hCG group (n=187) vs. hCG + triptorelin (n=191)
• R-hCG 6,500 IU vs. Triptorelin 0.2mg + hCG 6,500 IU
Lin et al, Fertil and Steril 2013
18.43
40.11
30.4929.68
50.79
41.36
0
10
20
30
40
50
60
Implantation Rate CPR per ET LBR per ET
%
hCG only Dual-trigger
Dual trigger
Management of low prognosis patients
Presentation Goals
THE BEST OVARIAN STIMULATION
THE BEST TRIGGER
THE BEST MOMENT
- Low prognosis patients – new stratification
- To add or not to add LH ?
- hCG?
- GnRH agonist?
- Dual trigger?
- Fresh vs. Freeze-all
Freeze-all for all? Better outcomes?
Management of low prognosis patients
Ongoing Pregnancy
Clinical Pregnancy
INTENTION-TO-TREAT
32%
31%
Roque et al., Fertil. Steril. 2013
Fresh vs. FREEZE-ALL
Freeze-all for all? Better outcomes?
Management of low prognosis patients
INTENTION-TO-TREAT
32%
31%
Fresh vs. FREEZE-ALL
Ongoing Pregnancy
Clinical Pregnancy
Freeze-all for all? Better outcomes?
Management of low prognosis patients
- D+3 / Fresh embryo transfer only with P<1.5 ng/mL
- Observational study
RR = 1.33 (1.07-1.65)
RR = 1.28 (1.01-1.62)
26.5
39.7
19.9
31.1
0
5
10
15
20
25
30
35
40
45
Implantation rate Ongoing pregnancy rate
%
FREEZE-ALL (n= 179) FRESH (n=351)
Roque et al., Fertil. Steril. 2015
Logistic Regression- Freeze-all e OPR
OR 1.73 (1.16-2.58)
Fresh vs. FREEZE-ALL
Management of low prognosis patients
Chen et al., NEJM. 2016
Fresh vs. FREEZE-ALL
RCT - PCOS
Management of low prognosis patients
Chen et al., NEJM. 2016
Fresh vs. FREEZE-ALL
RCT - PCOS
Management of low prognosis patients
Chen et al., NEJM. 2016
Fresh vs. FREEZE-ALL
RCT - PCOS
Management of low prognosis patients
Chen et al., NEJM. 2016
Fresh vs. FREEZE-ALL
RCT - PCOS
Freeze-all vs. Fresh
Live birth– RR 1.17 (1.05-1.31)
Miscarriage (clinical pregnancies) – RR 0.58 (0.44-0.77)
Management of low prognosis patients
Coates et al., Fertil. Steril. 2017
Fresh vs. FREEZE-ALL
Randomized clinical trial – PGS (D+5)
Intention-to-treat analysis
62.6 61.5
40.9 39.8
0
10
20
30
40
50
60
70
Ongoing Pregnancy Live Birth Rate
%
Freeze-all (n=91) Fresh (n=88)
Management of low prognosis patients
Freeze-all for all
What about obstetric and perinatal outcomes?
Management of low prognosis patients
Roque et al., ESHRE 2016
Fresh vs. FET: Ectopic Pregnancy
Last 20 years
929,431 pregnancies
FET vs. Fresco – OR = 0.80 (0.67-0.95)
Freeze-all for all? Better outcomes?
Management of low prognosis patients
Last 20 years– CLEAVAGE
70,871 pregnancies
FET vs. Fresh – OR = 0.73 (0.65-0.81)
Roque et al., ESHRE 2016
Fresh vs. FET: Ectopic Pregnancy
Freeze-all for all? Better outcomes?
Management of low prognosis patients
Last 20 years – Blastocyst
179,541 pregnancies
FET vs. Fresh – OR = 0.52 (0.42-0.64)
Roque et al., ESHRE 2016
Fresh vs. FET: Ectopic Pregnancy
Freeze-all for all? Better outcomes?
Management of low prognosis patients
FET vs. Fresh: Pre-term
Roque et al., ESHRE 2016
219,356 pregnancies
FET vs. Fresh – adjusted OR = 0.90 (0.84-0.96)
Freeze-all for all? Better outcomes?
Management of low prognosis patients
Roque et al., 2016 – unpublished data
FET vs. Fresh: Small for Gestational Age
Age
104,180 pregnancies
FET vs. Fresh – OR = 0.59 (0.56-0.63)
Freeze-all for all? Better outcomes?
Management of low prognosis patients
Roque et al., 2016 – unpublished data
FET vs. Fresh: Low Birth Weight
126,503 pregnancies
FET vs. Fresco – OR = 0.72 (0.65-0.80)
Freeze-all for all? Better outcomes?
Management of low prognosis patients
Freeze-all
for all ???
Why ???
NO!
INDIVIDUALIZATION
Roque et al., ESHRE 2016
Placenta Accreta: FET vs. Fresh
48,158 pregnancies
FET vs. Fresco – adjusted OR = 3.51 (2.04-6.05)
Freeze-all for all? Better outcomes?
Management of low prognosis patients
Roque et al., ESHRE 2016
FET vs fresh: hypertensive disorders
48,926 pregnancies
FET vs. Fresh – adjusted OR = 1.82 (1.24-2.68)
Freeze-all for all? Better outcomes?
Management of low prognosis patients
FET vs fresh: Macrossomia
Santucci and Roque et al., 2016 – unpublished data
69,826 pregnancies
FET vs. Fresco – OR = 1.64 (1.37-1.96)
Freeze-all for all? Better outcomes?
Management of low prognosis patients
Wong et al., Cochrane 2017
Freeze-all for all? Better outcomes?
Management of low prognosis patients
Wong et al., Cochrane 2017
Freeze-all for all? Better outcomes?
Management of low prognosis patients
Freeze-all in Normal responders
*Prospective Observational / D+3
N=938 IVF cycles
Roque et al., JARG 2017
Freeze-all for all?
Management of low prognosis patients
Roque et al., JARG 2017
SUB-OPTIMAL (4-9 oocytes) – no benefit with Freeze-all
NORMAL (10-15 oocyte) – BENEFIT with Freeze-all
Freeze-all in Normal responders
*Prospective Observational / D+3
N=938 IVF cycles
Freeze-all for all?
Management of low prognosis patients
Freeze-all – stratification
Ongoing Pregnancy
Roque et al., ESHRE 2017
13.4
31
34
13.7
33
47
0
5
10
15
20
25
30
35
40
45
50
1-3 oocytes 4-9 oocytes 10-15 oocytes
Fresh Freeze-all
N=277 N=156
N=380 N=243
N=143 N=172
No benefit
No benefit
Freeze-all for all?
9.5 10.1
Management of low prognosis patients
Freeze-all – stratification
Ongoing Pregnancy
Roque et al., ESHRE 2017; Roque et al., JARG 2017
13.4
31
34
13.7
33
47
0
5
10
15
20
25
30
35
40
45
50
1-3 oocytes 4-9 oocytes 10-15 oocytes
Fresh Freeze-all
N=277 N=156
N=380 N=243
N=143 N=172
No benefit
No benefit
Freeze-all for all?
9.5 10.1
Management of low prognosis patients
Freeze-all – stratification
Ongoing Pregnancy
Roque et al., ESHRE 2017; Roque et al., JARG 2017
13.4
31
34
13.7
33
47
0
5
10
15
20
25
30
35
40
45
50
1-3 oocytes 4-9 oocytes 10-15 oocytes
Fresh Freeze-all
N=277 N=156
N=380 N=243
N=143 N=172
No benefit
No benefit
Freeze-all for all?
9.5 10.1
Benefit
Management of low prognosis patients
Freeze-all – stratification
Ongoing Pregnancy
Roque et al., ESHRE 2017; Roque et al., JARG 2017
13.4
31
34
13.7
33
47
0
5
10
15
20
25
30
35
40
45
50
1-3 oocytes 4-9 oocytes 10-15 oocytes
Fresh Freeze-all
N=247 N=131
N=380 N=243 N=143 N=172
No benefit
No benefit
Freeze-all for all?
Management of low prognosis patients
Presentation Goals
THE BEST OVARIAN STIMULATION
THE BEST TRIGGER
THE BEST MOMENT
- Low prognosis patients – new stratification
- To add or not to add LH ?
- hCG?
- GnRH agonist?
- Dual trigger?
- Fresh vs. Freeze-all
Are we forgetting something?
Management of low prognosis patients
Testicular vs Ejaculated Sperm in high SDF
Esteves SC, AJA 2017
Management of low prognosis patients
Testicular vs Ejaculated Sperm in high SDF
Management of low prognosis patients
Testicular vs Ejaculated Sperm in high SDF
Esteves SC, AJA 2017
Management of low prognosis patients
Testicular vs Ejaculated Sperm in high SDF
Esteves SC, Unpublished data
Management of low prognosis patients
Testicular vs Ejaculated Sperm in high SDF
Esteves SC, Unpublished data
Take-Home
MessageTHE BEST OVARIAN STIMULATION
THE BEST TRIGGER
THE BEST MOMENT
- Low prognosis patients – new stratification
- To add or not to add LH ?
- hCG?
- GnRH agonist?
- Dual trigger?
- Fresh vs. Freeze-all
Are we forgetting something?
To make our patients’ dream come
true…
The details can really make the difference!
Thank you!
matheusroque@origen.com.br
matheusroque_mr
pt.slideshare.net/MatheusRoque1

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Management of low prognosis patients

  • 1. MOBILE BEST DATA PLANLorem Ipsum has two main statistical methodologies are used in data analysis which summarizes data from a sample using indexes Tempor mediocrem imperdiet no usu, tractatos salutatus ut est. Eu vel detraxit laboramus. Cu nam unum liber audiam. Management of low prognosis patients Dr. Matheus Roque ORIGEN – Center for Reproductive Medicine - BRAZIL Singapore
  • 2. Presentation Goals THE BEST OVARIAN STIMULATION THE BEST TRIGGER THE BEST MOMENT - Low prognosis patients – new stratification - To add or not to add LH ? - hCG? - GnRH agonist? - Dual trigger? - Fresh vs. Freeze-all Are we forgetting something?
  • 3. INDIVIDUALIZATION Management of low prognosis patients Similar Groups Compare Results Research Select the best protocol for each group Individualized Controlled Ovarian Stimulation (iCOS) Individualized LAboratory TEchniques (iLATE) Individualized Embryo Transfer (iET) Biomarkers of ovarian response STRATIFICATION
  • 4. INDIVIDUALIZATION Management of low prognosis patients Select the best protocol for each group Individualized Controlled Ovarian Stimulation (iCOS) Individualized Embryo Transfer (iET) STRATIFICATION
  • 5. NORMAL HIGHPOOR Management of low prognosis patients Stratification Traditional Stratification 1-3 oocytes 4-15 oocytes > 15 oocytes ?
  • 6. 16.9% 29.7% 33.4% 32.1% 1-3 oocytes4-9 oocytes10-15 oocytes>15 oocytes Drakopoulos et al., Hum Reprod 2016 21.7% 39.7% 50.5% 61.5% 1-3 oocytes4-9 oocytes10-15 oocytes>15 oocytes LIVE-BIRTH FRESH CYCLE CUMULATIVE LIVE-BIRTH SUB-OPTIMAL RESPONDER Stratification Management of low prognosis patients
  • 7. Management of low prognosis patients Sub-optimal / Hypo-responders • 10%-15%ofpatients withnormalAFCandAMHwillpresent aninadequate response • Granulosa cellsHypo-sensitivity toFSH;Suboptimal response (4-9oocytes) • Associatedwithhigher FSHdoses (>2,500IUFSH);lowerpregnancy rates • Genomic profile->Polymorphisms (most commonFSHreceptor andv-betaAlviggi et al., Springer 2016 5º. – 6º. day COS
  • 8. Genro et al., Hum Reprod 2011 Sub-optimal / Hypo-responders Follicular Output RaTe (FORT) Antral follicle responsiveness to FSH Management of low prognosis patients
  • 9. Genro et al., Hum Reprod 2011 Sub-optimal / Hypo-responders Antral follicle (3-8mm) count (AFC) at baseline Pre-ovulatory follicle (16-22 mm) count (PFC) on day of hCG PFC x 100 AFC FORT Calculation Follicular Output RaTe (FORT) Management of low prognosis patients
  • 10. Sub-optimal / hypo-responders Polymorphism FSH receptor gene LHβ gene Laan et al., Curr Opin Endocrinol Diabetes Obes, 2012 Manna et al., Hum Mol Genetics, 2002 Management of low prognosis patients
  • 11. Stratification Traditional Stratification 1-3 oocytes 4-15 oocytes > 15 oocytes POOR SUB OPTIMAL OPTIMAL HIGH 1-3 oocytes4-9 oocytes10-15 oocytes>15 oocytes NORMAL HIGHPOOR New stratification ? What about the POOR RESPONDERS? Management of low prognosis patients
  • 12. Stratification POOR RESPONDERS - BOLOGNA CRITERIA Ferraretti et al., Hum Reprod 2011 OR ≧40y OR follicles 2 of 3 EvenBologna criteria canbeHETEROGENEOUS… Decreasedoocytequality/increasedembryoaneuploidy Management of low prognosis patients
  • 13. All available stratifications POOR SUB OPTIMAL OPTIMAL HIGH 1-3 oocytes4-9 oocytes10-15 oocytes>15 oocytes Only QUANTITY ! What about QUALITY ! Management of low prognosis patients
  • 14. The importance of the NUMBER / QUALITY of oocytes The importance of the number of oocytes Management of low prognosis patients
  • 15. The importance of the NUMBER / QUALITY of oocytes NEW CONCEPT - POSEIDONPOSEIDON Group Patient-Oriented Strategies Encompassing IndividualizeD Oocyte Number LOW PROGNOSIS PATIENTS POSEIDON Group, Fertil Steril 2016 Management of low prognosis patients
  • 16. POSEIDON GROUP Created in 2015 (Carlo Alviggi_Itália) Peter Humaidan (Dinamarca) Klaus Bühler (Alemanha) Robert Fischer (Alemanha) Alessandro Conforti (Itália) Sandro Esteves (Brasil) Claus Andersen (Dinamarca) Filippo Ubaldi (Itália) Founders: Management of low prognosis patients
  • 17. POSEIDON Group, Fertil Steril 2016 * Individualized treatment based on prognostic categories *Ability to retrieve the number of oocytes necessary to obtain at least one euploid embryo for transfer in each patient The importance of the NUMBER / QUALITY of oocytes NEW CONCEPT - POSEIDON Management of low prognosis patients
  • 18. POSEIDON Low Prognosis Patients POSEIDON Group, Fertil Steril 2016 YOUNG Poor response ADVANCED REPRODUCTIVE AGE Poor response YOUNG Poor response ADVANCED MATERNAL AGE Poor response GOOD OVARIAN RESERVE POOR OVARIAN RESERVE Management of low prognosis patients
  • 19. POSEIDON POSEIDON Group, Fertil Steril 2016 *Group 1 <35 years 1a: <4 oocytes 1b: 4-9 oocytes *Group 3 < 35 years *Group 2 ≥35 years 2a: <4 oocytes 2b: 4-9 oocytes GOOD OVARIAN RESERVE (AFC ≥5; AMH ≥1.2ng/mL) *Group 4 ≥35 years POOR OVARIAN RESERVE (AFC<5; AMH<1.2 ng/mL) Hypo- responders Management of low prognosis patients
  • 20. POSEIDON CALCULATOR * POSEIDON Calculator – process of validation – Courtesy from Sandro Esteves Management of low prognosis patients
  • 21. POSEIDON CALCULATOR * POSEIDON Calculator – process of validation – Courtesy from Sandro Esteves Management of low prognosis patients
  • 22. Presentation Goals THE BEST OVARIAN STIMULATION - Low prognosis patients – new stratification - To add or not to add LH ?
  • 23. LH and Folliculogenesis Management of low prognosis patients Courtesy from Dr Sandro Esteves
  • 24. LH and Folliculogenesis Management of low prognosis patients Courtesy from Dr Sandro Esteves Who needs LH supplementation ?
  • 25. Indications for LH supplementation: • Hypo- / Suboptimal response Who needs LH supplementation? Management of low prognosis patients
  • 26. Indications for LH supplementation: • Hypo- / Suboptimal response • Advanced maternal age (>35 years old) Who needs LH supplementation? Management of low prognosis patients
  • 27. Indications for LH supplementation: • Hypo- / Suboptimal response • Advanced maternal age (>35 years old) • Poor Ovarian Responders ? Who needs LH supplementation? Management of low prognosis patients
  • 28. I will add LH, however... Rec-LH or hCG (hMG) ??? Management of low prognosis patients
  • 29. Esteves SC, 2015 LH vs hCG Differences in LH activity of gonadotropins Management of low prognosis patients
  • 30. LH vs. hCG Esteves and Alviggi, Springer 2015 LH vs. hCG – are there differences in embryo quality? Management of low prognosis patients
  • 31. The effect of stimulation protocols in embryo quality Embryo Viability Assessment Unpublished data - Marcos Meseguer N= 319 ICSI cycles • r-FSH + r-LH vs. hMG LH vs. hCG Oocyte / Embryo Quality Management of low prognosis patients
  • 32. The effect of stimulation protocols in embryo quality Embryo Viability Assessment N= 319 ICSI cycles • r-FSH + r-LH vs. hMG Unpublished data - Marcos Meseguer LH vs. hCG Oocyte / Embryo Quality Management of low prognosis patients
  • 33. The effect of stimulation protocols in embryo quality Embryo Viability Assessment N= 319 ICSI cycles • r-FSH + r-LH vs. hMG 0 2 4 6 8 10 12 14 hMG (n=1005) FSH+LH (n=427) 7.86 12.18 % of HIGH EMBRYOS p=0,035 * Unpublished data - Marcos Meseguer LH vs. hCG Oocyte / Embryo Quality Management of low prognosis patients
  • 34. The effect of stimulation protocols in embryo quality Embryo Viability Assessment N= 319 ICSI cycles • r-FSH + r-LH vs. hMG % of HIGH quality embryos (Eeva) according to stimulation protocols; Logistic Regression analysis Model effect values OR p value Gonadotrophin FSH+LH vs. hMG 1.88 (1.17-3.02) 0.010 Oocyte recovered number 0.99 (0.97-1.03) per oocyte NS Age Years 0.96 (0.97-1.03) NS BMI Units 0.94 (0.94-1.02) NS FSH+LH protocol produce 1.88 times more HIGH quality embryos according to Eeva Algorithm Unpublished data - Marcos Meseguer LH vs. hCG Oocyte / Embryo Quality Management of low prognosis patients
  • 35. LH vs hCG Clinical evidence ? Management of low prognosis patients
  • 36. Fábregues et al., Gynecol Endocrinol 2014 LH vs hCG Clinical evidence * Disclaimer: Lutropin alfa concomitantly administered with Follitropin Alfa for injection is indicated for stimulation of follicular development in infertile hypogonadotropic hypogonadal women with profound LH deficiency (LH<1.2 IU/L)’. Management of low prognosis patients
  • 37. Bühler and Fischer, Gynecol Endocrinol 2012 LH vs hCG Clinical evidence * Disclaimer: Lutropin alfa concomitantly administered with Follitropin Alfa for injection is indicated for stimulation of follicular development in infertile hypogonadotropic hypogonadal women with profound LH deficiency (LH<1.2 IU/L)’. 0 5 10 15 20 25 30 35 No. Oocytes Implantation Rate Clinical Pregnancy Rate 9 19 31.3 7.8 13.9 26 % r-hFSH + r-hLH (n=1,573) hMG (n=1,573) German IVF Register Management of low prognosis patients
  • 38. Revelli et al, Reprod Biol and Endocrinol 2015 LH vs hCG Pregnancy rate / embryo transfer vs. No. MII Management of low prognosis patients
  • 39. Revelli et al, Reprod Biol and Endocrinol 2015 LH vs hCG OR pregnancy Management of low prognosis patients
  • 40. Presentation Goals THE BEST OVARIAN STIMULATION - Low prognosis patients – new stratification - To add or not to add LH ?
  • 41. Presentation Goals THE BEST OVARIAN STIMULATION THE BEST TRIGGER - Low prognosis patients – new stratification - To add or not to add LH ? - hCG? - GnRH agonist? - Dual trigger?
  • 42. • Traditionally -> hCG • Mimic LH surge • Resumption of meiosis Trigger Management of low prognosis patients
  • 43. • OHSS • Moreover... • hCG Trigger Problems with hCG trigger Management of low prognosis patients
  • 44. Evans and Salamonsen, Hum Reprod 2013 Trigger Problems with hCG trigger Management of low prognosis patients
  • 45. Evans and Salamonsen, Hum Reprod 2013 • Experimental model of chronic low-dose and acute high-dose hCG exposure hCG secreted by the blastocyst hCG for triggering Trigger Problems with hCG trigger Management of low prognosis patients
  • 46. Evans and Salamonsen, Hum Reprod 2013 • Experimental model of chronic low-dose and acute high-dose hCG exposure hCG secreted by the blastocyst hCG for triggering Chronic low-dose hCG exposure mediated a down regulation and internalization of the LHCGR in endometrial epithelial cells Trigger Problems with hCG trigger Management of low prognosis patients
  • 47. • Traditionally -> hCG • Mimic LH surge • Resumption of meiosis Thus… Potential problems with hCG trigger: 1. Safety – OHSS risk 2. Efecttiveness – altered endometrial pattern hCG Trigger Management of low prognosis patients
  • 48. • Traditionally -> hCG • Mimic LH surge • Resumption of meiosis Thus… Potential problems with hCG trigger: 1. Safety – OHSS risk 2. Efecttiveness – altered endometrial receptivity? SOLUTION??? hCG Trigger Management of low prognosis patients
  • 49. • In natural / antagonist cycles • LH surge and also FSH surge GnRH agonist Trigger Management of low prognosis patients
  • 50. • Concerned about the longer half-life of hCG compared to LH GnRH agonist Trigger Management of low prognosis patients
  • 51. • In natural / antagonist cycles • LH surge and also FSH surge FSH surge: 1. + plasminogen activator activity with granulosa cells (GC) -> dissociating the oocyte from the follicular wall and weakening the wall (Strickland et al., 1976; Morioka et al., 1989) GnRH agonist Trigger Management of low prognosis patients
  • 52. • In natural / antagonist cycles • LH surge and also FSH surge FSH surge: 1. + plasminogen activator activity with granulosa cells (GC) -> dissociating the oocyte from the follicular wall and weakening the wall (Strickland et al., 1976; Morioka et al., 1989) 2. Improved oocyte recovery with ↑ follicular fluid FSH levels (Rosen et al., 2009) GnRH agonist Trigger Management of low prognosis patients
  • 53. • In natural / antagonist cycles • LH surge and also FSH surge FSH surge: 1. + plasminogen activator activity with granulosa cells (GC) -> dissociating the oocyte from the follicular wall and weakening the wall (Strickland et al., 1976; Morioka et al., 1989) 2. Improved oocyte recovery with ↑ follicular fluid FSH levels (Rosen et al., 2009) 3. FSH -> + LH receptors in GC; gap junctions opened between the oocyte and cumulus cells; nuclear maturation; cumulus expansion (Atef et al., 2005; Zelinski-Wooten et al., 1998; Andersen et al., 1999) GnRH agonist Trigger Management of low prognosis patients
  • 54. GnRH agonist Trigger Management of low prognosis patients
  • 55. •Deficient luteal phase support GnRH agonist Trigger The problem with GnRHa trigger Management of low prognosis patients
  • 56. • Luteal phase support Youssef et al, Cochrane 2014 Live Birth Rate GnRH agonist vs. hCG for triggering OR 0.47 (95% CI: 0.31-0.70) GnRH agonist Trigger The problem with GnRHa trigger Management of low prognosis patients
  • 57. • Luteal phase support Youssef et al, Cochrane 2014 Live Birth Rate GnRH agonist vs. hCG for triggering OR 0.47 (95% CI: 0.31-0.70) HOWEVER… GnRH agonist Trigger The problem with GnRHa trigger Management of low prognosis patients
  • 58. • Modified luteal phase support with LH activity Haahr and Roque et al, ESHERE 2017 Figure 2. GnRHa trigger + modified LPS with LH activity versus hCG trigger, critical outcome live birth - ITT Live Birth Rate GnRH agonist + modified LH activity LPS vs. hCG for triggering OR 0.77 (95% CI: 0.56-1.05) GnRH agonist Trigger The problem with GnRHa trigger Management of low prognosis patients
  • 59. • POTENTIAL ADVANTAGES OF GnRH agonist + hCG TRIGGER • Increased luteal function with supplementation of hCG -> optimal support for pregnancy Dual trigger Management of low prognosis patients
  • 60. • RCT – hCG group (n=106) vs. hCG + triptorelin (n=105) • hCG 5,000 IU vs. Triptorelin 0.2mg + hCG 5000 IU Schachter et al, Fertil and Steril 2008 29.1 22.3 44.3 36.1 0 5 10 15 20 25 30 35 40 45 50 PR per ET Ongoing PR per ET % hCG only Dual trigger Dual trigger Management of low prognosis patients
  • 61. Lin et al, Fertil and Steril 2013 • Retrospective study – hCG group (n=187) vs. hCG + triptorelin (n=191) • R-hCG 6,500 IU vs. Triptorelin 0.2mg + hCG 6,500 IU 10.1 8 1.6 12.4 10.5 1.97 0 2 4 6 8 10 12 14 No. retrieved oocytes No. MII oocytes No. embryos cryop % hCG only Dual-trigger P<0.05 Dual trigger Management of low prognosis patients
  • 62. • Retrospective study – hCG group (n=187) vs. hCG + triptorelin (n=191) • R-hCG 6,500 IU vs. Triptorelin 0.2mg + hCG 6,500 IU Lin et al, Fertil and Steril 2013 18.43 40.11 30.4929.68 50.79 41.36 0 10 20 30 40 50 60 Implantation Rate CPR per ET LBR per ET % hCG only Dual-trigger Dual trigger Management of low prognosis patients
  • 63. Presentation Goals THE BEST OVARIAN STIMULATION THE BEST TRIGGER THE BEST MOMENT - Low prognosis patients – new stratification - To add or not to add LH ? - hCG? - GnRH agonist? - Dual trigger? - Fresh vs. Freeze-all
  • 64. Freeze-all for all? Better outcomes? Management of low prognosis patients
  • 65. Ongoing Pregnancy Clinical Pregnancy INTENTION-TO-TREAT 32% 31% Roque et al., Fertil. Steril. 2013 Fresh vs. FREEZE-ALL Freeze-all for all? Better outcomes? Management of low prognosis patients
  • 66. INTENTION-TO-TREAT 32% 31% Fresh vs. FREEZE-ALL Ongoing Pregnancy Clinical Pregnancy Freeze-all for all? Better outcomes? Management of low prognosis patients
  • 67. - D+3 / Fresh embryo transfer only with P<1.5 ng/mL - Observational study RR = 1.33 (1.07-1.65) RR = 1.28 (1.01-1.62) 26.5 39.7 19.9 31.1 0 5 10 15 20 25 30 35 40 45 Implantation rate Ongoing pregnancy rate % FREEZE-ALL (n= 179) FRESH (n=351) Roque et al., Fertil. Steril. 2015 Logistic Regression- Freeze-all e OPR OR 1.73 (1.16-2.58) Fresh vs. FREEZE-ALL Management of low prognosis patients
  • 68. Chen et al., NEJM. 2016 Fresh vs. FREEZE-ALL RCT - PCOS Management of low prognosis patients
  • 69. Chen et al., NEJM. 2016 Fresh vs. FREEZE-ALL RCT - PCOS Management of low prognosis patients
  • 70. Chen et al., NEJM. 2016 Fresh vs. FREEZE-ALL RCT - PCOS Management of low prognosis patients
  • 71. Chen et al., NEJM. 2016 Fresh vs. FREEZE-ALL RCT - PCOS Freeze-all vs. Fresh Live birth– RR 1.17 (1.05-1.31) Miscarriage (clinical pregnancies) – RR 0.58 (0.44-0.77) Management of low prognosis patients
  • 72. Coates et al., Fertil. Steril. 2017 Fresh vs. FREEZE-ALL Randomized clinical trial – PGS (D+5) Intention-to-treat analysis 62.6 61.5 40.9 39.8 0 10 20 30 40 50 60 70 Ongoing Pregnancy Live Birth Rate % Freeze-all (n=91) Fresh (n=88) Management of low prognosis patients
  • 73. Freeze-all for all What about obstetric and perinatal outcomes? Management of low prognosis patients
  • 74. Roque et al., ESHRE 2016 Fresh vs. FET: Ectopic Pregnancy Last 20 years 929,431 pregnancies FET vs. Fresco – OR = 0.80 (0.67-0.95) Freeze-all for all? Better outcomes? Management of low prognosis patients
  • 75. Last 20 years– CLEAVAGE 70,871 pregnancies FET vs. Fresh – OR = 0.73 (0.65-0.81) Roque et al., ESHRE 2016 Fresh vs. FET: Ectopic Pregnancy Freeze-all for all? Better outcomes? Management of low prognosis patients
  • 76. Last 20 years – Blastocyst 179,541 pregnancies FET vs. Fresh – OR = 0.52 (0.42-0.64) Roque et al., ESHRE 2016 Fresh vs. FET: Ectopic Pregnancy Freeze-all for all? Better outcomes? Management of low prognosis patients
  • 77. FET vs. Fresh: Pre-term Roque et al., ESHRE 2016 219,356 pregnancies FET vs. Fresh – adjusted OR = 0.90 (0.84-0.96) Freeze-all for all? Better outcomes? Management of low prognosis patients
  • 78. Roque et al., 2016 – unpublished data FET vs. Fresh: Small for Gestational Age Age 104,180 pregnancies FET vs. Fresh – OR = 0.59 (0.56-0.63) Freeze-all for all? Better outcomes? Management of low prognosis patients
  • 79. Roque et al., 2016 – unpublished data FET vs. Fresh: Low Birth Weight 126,503 pregnancies FET vs. Fresco – OR = 0.72 (0.65-0.80) Freeze-all for all? Better outcomes? Management of low prognosis patients
  • 80. Freeze-all for all ??? Why ??? NO! INDIVIDUALIZATION
  • 81. Roque et al., ESHRE 2016 Placenta Accreta: FET vs. Fresh 48,158 pregnancies FET vs. Fresco – adjusted OR = 3.51 (2.04-6.05) Freeze-all for all? Better outcomes? Management of low prognosis patients
  • 82. Roque et al., ESHRE 2016 FET vs fresh: hypertensive disorders 48,926 pregnancies FET vs. Fresh – adjusted OR = 1.82 (1.24-2.68) Freeze-all for all? Better outcomes? Management of low prognosis patients
  • 83. FET vs fresh: Macrossomia Santucci and Roque et al., 2016 – unpublished data 69,826 pregnancies FET vs. Fresco – OR = 1.64 (1.37-1.96) Freeze-all for all? Better outcomes? Management of low prognosis patients
  • 84. Wong et al., Cochrane 2017 Freeze-all for all? Better outcomes? Management of low prognosis patients
  • 85. Wong et al., Cochrane 2017 Freeze-all for all? Better outcomes? Management of low prognosis patients
  • 86. Freeze-all in Normal responders *Prospective Observational / D+3 N=938 IVF cycles Roque et al., JARG 2017 Freeze-all for all? Management of low prognosis patients
  • 87. Roque et al., JARG 2017 SUB-OPTIMAL (4-9 oocytes) – no benefit with Freeze-all NORMAL (10-15 oocyte) – BENEFIT with Freeze-all Freeze-all in Normal responders *Prospective Observational / D+3 N=938 IVF cycles Freeze-all for all? Management of low prognosis patients
  • 88. Freeze-all – stratification Ongoing Pregnancy Roque et al., ESHRE 2017 13.4 31 34 13.7 33 47 0 5 10 15 20 25 30 35 40 45 50 1-3 oocytes 4-9 oocytes 10-15 oocytes Fresh Freeze-all N=277 N=156 N=380 N=243 N=143 N=172 No benefit No benefit Freeze-all for all? 9.5 10.1 Management of low prognosis patients
  • 89. Freeze-all – stratification Ongoing Pregnancy Roque et al., ESHRE 2017; Roque et al., JARG 2017 13.4 31 34 13.7 33 47 0 5 10 15 20 25 30 35 40 45 50 1-3 oocytes 4-9 oocytes 10-15 oocytes Fresh Freeze-all N=277 N=156 N=380 N=243 N=143 N=172 No benefit No benefit Freeze-all for all? 9.5 10.1 Management of low prognosis patients
  • 90. Freeze-all – stratification Ongoing Pregnancy Roque et al., ESHRE 2017; Roque et al., JARG 2017 13.4 31 34 13.7 33 47 0 5 10 15 20 25 30 35 40 45 50 1-3 oocytes 4-9 oocytes 10-15 oocytes Fresh Freeze-all N=277 N=156 N=380 N=243 N=143 N=172 No benefit No benefit Freeze-all for all? 9.5 10.1 Benefit Management of low prognosis patients
  • 91. Freeze-all – stratification Ongoing Pregnancy Roque et al., ESHRE 2017; Roque et al., JARG 2017 13.4 31 34 13.7 33 47 0 5 10 15 20 25 30 35 40 45 50 1-3 oocytes 4-9 oocytes 10-15 oocytes Fresh Freeze-all N=247 N=131 N=380 N=243 N=143 N=172 No benefit No benefit Freeze-all for all? Management of low prognosis patients
  • 92. Presentation Goals THE BEST OVARIAN STIMULATION THE BEST TRIGGER THE BEST MOMENT - Low prognosis patients – new stratification - To add or not to add LH ? - hCG? - GnRH agonist? - Dual trigger? - Fresh vs. Freeze-all Are we forgetting something?
  • 93. Management of low prognosis patients Testicular vs Ejaculated Sperm in high SDF
  • 94. Esteves SC, AJA 2017 Management of low prognosis patients Testicular vs Ejaculated Sperm in high SDF
  • 95. Management of low prognosis patients Testicular vs Ejaculated Sperm in high SDF Esteves SC, AJA 2017
  • 96. Management of low prognosis patients Testicular vs Ejaculated Sperm in high SDF Esteves SC, Unpublished data
  • 97. Management of low prognosis patients Testicular vs Ejaculated Sperm in high SDF Esteves SC, Unpublished data
  • 98. Take-Home MessageTHE BEST OVARIAN STIMULATION THE BEST TRIGGER THE BEST MOMENT - Low prognosis patients – new stratification - To add or not to add LH ? - hCG? - GnRH agonist? - Dual trigger? - Fresh vs. Freeze-all Are we forgetting something?
  • 99. To make our patients’ dream come true… The details can really make the difference!