Problematiche E Personalizzazione Terapia
Transcript of Problematiche E Personalizzazione Terapia
La gestione delle complicanze
e approcci personalizzati: dalla
letteratura all’esperienza clinica
C. Maiello, C. Amarelli
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
% o
f T
ran
spla
nts
0
5
10
15
20
25
30
35
0-10 11-17 18-34 35-49 50-59 60+ Mean Age
Mea
n d
on
or
age
(yea
rs)
HEART TRANSPLANTS: Donor Age by Year of Transplant
ISHLT
2009
Older donors: increased risk for the development of CAV
Hearts from older donors exhibit worse long-term renal function
Arterialhypertension
Loss of functional coronary reserve
(smokers, Diabetics)
Increased riskof EGF
Higher incidenceof LOS
Coronary Passenger
Atherosclerosis
CAV inHearts fromolder donors
ADULT HEART TRANSPLANT RECIPIENTS: Cause of Death (Deaths: January 1992 - June 2006)
CAUSE OF DEATH 0-30 Days
(N = 3,006)
31 Days –
1 Year
(N = 2,722)
>1 Year –
3 Years
(N = 2,135)
>3 Years –
5 Years
(N = 1,857)
>5 Years –
10 Years
(N = 4,054)
>10 Years
(N = 2,107)
CARDIAC ALLOGRAFT VASCULOPATHY
52 (1.7%) 127 (4.7%) 298 (14.0%) 299 (16.1%) 581 (14.3%) 309 (14.7%)
ACUTE REJECTION 193 (6.4%)338
(12.4%)220 (10.3%) 82 (4.4%) 69 (1.7%) 26 (1.2%)
LYMPHOMA 2 (0.1%) 54 (2.0%) 85 (4.0%) 96 (5.2%) 195 (4.8%) 73 (3.5%)
MALIGNANCY, OTHER 1 (0.0%) 57 (2.1%) 218 (10.2%) 340 (18.3%) 749 (18.5%) 392 (18.6%)
CMV 4 (0.1%) 34 (1.2%) 16 (0.7%) 3 (0.2%) 5 (0.1%) 1 (0.0%)
INFECTION, NON-CMV 393 (13.1%)896
(32.9%)276 (12.9%) 180 (9.7%) 442 (10.9%) 213 (10.1%)
GRAFT FAILURE 1,257 (41.8%) 500 (18.4%)
499 (23.4%) 379 (20.4%) 765 (18.9%) 353 (16.8%)
TECHNICAL 233 (7.8%) 28 (1.0%) 17 (0.8%) 17 (0.9%) 36 (0.9%) 20 (0.9%)
OTHER 162 (5.4%) 175 (6.4%) 187 (8.8%) 147 (7.9%) 339 (8.4%) 175 (8.3%)
MULTIPLE ORGAN FAILURE
356 (11.8%) 268 (9.8%) 117 (5.5%) 102 (5.5%) 309 (7.6%) 190 (9.0%)
RENAL FAILURE 20 (0.7%) 25 (0.9%) 36 (1.7%) 65 (3.5%) 225 (5.6%) 173 (8.2%)
PULMONARY 133 (4.4%) 108 (4.0%) 96 (4.5%) 85 (4.6%) 172 (4.2%) 99 (4.7%)
CEREBROVASCULAR 200 (6.7%) 112 (4.1%) 70 (3.3%) 62 (3.3%) 167 (4.1%) 83 (3.9%)
ISHLTLast updated based on data as of December 2006
2009J Heart Lung Transplant 2008;27: 937-983
AGE DISTRIBUTION OF HEART TRANSPLANT RECIPIENTS BY ERA
0
5
10
15
20
25
30
35
40
0-9 10-19 20-29 30-39 40-49 50-59 60-69 70+
Recipient Age
% o
f tr
an
sp
lan
ts
1982-1991 (N = 21,126)
1992-2001 (N = 40,356)
2002-6/2008 (N = 21,609)
P < 0.0001
ISHLT
2009
Impact of recipient age
Moresusceptible
to adverse events
More prone to developing
Metabolic Syndrome
Higher incidence of
post-transplantinfections
Higher IncidenceOf
Renal Dysfunction
Older recipients
Increased risk of tumour
Everolimus
Synergistic with CNIs (low rates of acute rejection)
Non-nephrotoxic
May be CNI and steroid-sparing
Possibly anti-atherogenic
Possibly anti-neoplastic
Synergistic with CNIs (enhanced nephrotoxicity)
Side effects:
– Hyperlipidemia
– Bone marrow suppression
– Impaired wound healing?
Why? Why not?
8
PSIs in KTx & HTx: chronic graft vascular disease & atherosclerosis
Favourable effects Unfavourable effects
CNIs minimization/ withdrawal Hyperlipidemia
– Hypertension– Hyperlipidemia– Diabetes– creatinine
creatinine (with full-dose CNI)
Acute rejections
CMV infection
Effect on (injured) vascular wall
Atherosclerotic Paradox (???)
Reduces acute rejection1
Is associated with a lower incidence of CMV infection2
Inhibits vascular remodeling2
Is not nephrotoxic3
Everolimus – targets the primary causes of progressive allograft dysfunction
1. Nashan B. Transplantation Proc 2001;33:3215–20.2. Eisen HJ et al. N Engl J Med 2003;349(9):847-858.3. Schuler W. et al Transplantation 1997;64:36-42
Esposizione alla CSA nei pazienti in everolimus
Efficacy improves with trough levels >3 ng/mL (Study 253)
Fre
edo
m f
rom
acu
te r
ejec
tio
n (
%)
100
90
80
70
60
50
40
30
20
10
0
0 25 50 75 100 125 150 175 200 225
Everolimus 3–8 ng/mL
Everolimus <3 ng/mL
AZA
Everolimus>8 ng/mL
Post-transplantation (Days)
Fre
edo
m f
rom
acu
te r
ejec
tio
n (
%)
100
90
80
70
60
50
40
30
20
10
0
0 25 50 75 100 125 150 175 200 225
Everolimus 3–8 ng/mL
Everolimus <3 ng/mL
AZA
Everolimus>8 ng/mL
Post-transplantation (Days)
100
90
80
70
60
50
40
30
20
10
0
100
90
80
70
60
50
40
30
20
10
0
0 25 50 75 100 125 150 175 200 225
Everolimus 3–8 ng/mL
Everolimus <3 ng/mL
AZA
Everolimus>8 ng/mL
Post-transplantation (Days)
RAD B253: Study Design
Randomization at first dose of
Certican
SAMPLE SIZE: *Study unblinded at 12 months
Primary efficacy failure: AZA 45%, Everolimus 30% 210 per treatment arm (two-sided alpha at 2.5%, power 80%)
HeartHeartTransplantationTransplantation
CerticanCertican 1.5 mg/day + full dose 1.5 mg/day + full dose NeoralNeoral,,AZA placebo + corticosteroidsAZA placebo + corticosteroids
AZA 1AZA 1--3mg/kg/day + full dose 3mg/kg/day + full dose NeoralNeoral,,Everolimus placebo + corticosteroidsEverolimus placebo + corticosteroids
CerticanCertican 3 mg/day + full dose 3 mg/day + full dose NeoralNeoral,,AZA placebo + corticosteroidsAZA placebo + corticosteroids
6 monthefficacy
4 yearextension
72 hrs
12 &24 month *safety/efficacy
IVUS
Baseline IVUS
634 Patients52 Centers
Randomization at first dose of
Certican
SAMPLE SIZE: *Study unblinded at 12 months
Primary efficacy failure: AZA 45%, Everolimus 30% 210 per treatment arm (two-sided alpha at 2.5%, power 80%)
HeartHeartTransplantationTransplantation
CerticanCertican 1.5 mg/day + full dose 1.5 mg/day + full dose NeoralNeoral,,AZA placebo + corticosteroidsAZA placebo + corticosteroids
AZA 1AZA 1--3mg/kg/day + full dose 3mg/kg/day + full dose NeoralNeoral,,Everolimus placebo + corticosteroidsEverolimus placebo + corticosteroids
CerticanCertican 3 mg/day + full dose 3 mg/day + full dose NeoralNeoral,,AZA placebo + corticosteroidsAZA placebo + corticosteroids
6 monthefficacy
4 yearextension
72 hrs
12 &24 month *safety/efficacy
IVUS
Baseline IVUS
634 Patients52 Centers
Everolimus adverse events profile
Body system Adverse reaction
Infections and infestations Viral, bacterial and fungal infections, sepsis
Blood and lymphatic system disorders
Leucopenia, thrombocytopenia, anaemia, coagulopathy
Metabolic and nutrition disorders
Hypercholesterolemia, hyperlipidemia,hypertriglyceridemia
Gastrointestinal disorders Abdominal pain, diarrhea, nausea, vomiting
Skin and subcutaneous tissue disorders
Acne, surgical wound complication
Selected Laboratory Abnormalities: Lipids on Study Drug Treatment (Study B253)
1.5 mg RAD 3.0 mg RAD AZA At month 12 (mmol/L)
Mean Cholesterol 5.7* 5.8* 5.2
Mean Triglycerides 3.1* 3.0* 2.1
Mean LDL-Cholesterol 3.1 3.0 2.9
Mean HDL-Cholesterol 1.3 1.3 1.3
*p<0.05, RAD vs AZA
Use of Statins (Study B253)
1.5 mg RAD 3.0 mg RAD AZA
Any HMG CoA 90.0% 90.5% 89.7%reductase inhibitor
Pravastatin 136 (65%) 136 (64%) 134 (63%)
Atorvastatin 69 (33%) 66 (31%) 57 (27%)
Simvastatin 36 (17%) 36 (17%) 33 (15%)
Fluvastatin 30 (14%) 32 (15%) 31 (14%)
Hyperlipidemia Esperienza del Centro di Napoli
MMF
RAD
Aza Mico RAD
Colesterolo 1 anno Trigliceridi 1 anno
Variables
0,0000
50,0000
100,0000
150,0000
200,0000V
alu
es
Report
Statistics : Mean
19218
2179
154
Wound Healing Complications
22
Adverse Events: Wound-Healing (Study B253)
1.5 mg Certican AZA
Lymphocele 4.8% 0.9%
Surgical wound compl. 5.7% 6.1%
Wound dehiscence 1.9% 0.5%
Pericardial effusion 23% 16.8%
Starting dose: 1–3 mg/day, no loading dose target level: 5–10 ng/mL
Kuppahally et al. Am J Transplant 2006
Complication Sirolimus(n=48)
MMF(n=46)
p value
All wound complications
25 (52.0%) 13 (28.2%) 0.019
Deep wound complication
0.012
– Sterile dehiscence 3 (6.3%) 0
– Sternal osteomyelitis
1 (2.1%) 0
– Mediastinitis/deep organ infection
13 (27.0%) 6 (13.0%)
Wound healing complications with de novo sirolimus versus MMF-based regimen in
cardiac transplant recipients
Wound healing complications (B253)
Event
RAD 1.5mg RAD 3.0mg AZA
P-valueN=209 N=211 N=214
Pat with sternal wound infection 18(8.6%) 18 (8.5%) 11(5.1%) n.s.
Wound complication (not LVAD site) 4 (1.9%) 4 (1.9%) 3 (1.4%) n.s.
Oozing/serous drainge (sternal site) 6 (2.9%) 14 (6.6%) 11 (5.1%)
n.s.
Wound dehiscence
-at sternal site
-- with infection
--wthout infection
-other
3 (1.45)
1 (0.55)
2 (1.0%)
1 (0.5%)
5 (2.4%)
1 (0.5%)
4 (1.9%)
0
2 (0.9%)
1 (0.55)
1 (0.5%)
0
n.s.
n.s.
n.s.
n.s
Lymphocele
-groin
-other
10 (4.8%)
5 (2.4%)
5 (2.4%)
9 (4.3%)
7 (3.3%)
2 (1.0%)
2 (0.9%)
1 (0.5%)
1 (0.5%)
0.065
n.s.
n.s.
Infezioni della ferita Esperienza del centro di Napoli
3% 3% 7% 7%0%
10%20%30%40%50%60%70%80%90%
100%
CSA/EVE CSA/MMF
No
InfezioneSuperficiale
Deiscenza
3135
Linfocele nei pazienti Redo con isolamento dei vasi femorali
Esperienza del Centro di Napoli
12%
0%
40%
0%
20%
40%
60%
80%
100%
CSA/EVE CSA/MMF CSA/EVERedo
No
Linfocele
3135 12
Edema Caso clinico
F 31 post-valvolare in pz già sottoposta (3° redo) a sostituzione valvolare aortica 01/03 e duplice intervento di SPA 04/03 per endocardite recidivante destruente dell’annulus e della giunzione M-Ao.(terzo intervento complicato da Mediastinite recidivante 05/03).
Ingresso in lista Luglio 2003 GFR 100ml/m2
Novembre 2006 scompenso di circolo con necessità di CVVH ed inotropi
Trapianto il 29.11.2006 in anticipo con organo in eccedenza (Rovigo 41 anni Trauma, ipotensione prolungata 4 h e ipossia di 20 min, Dopa 20 γ/Kg/min , ischemia 4.30)
CERTICAN DE NOVO Alla dimissione (01/07) GFR 19.3 ml/m2
Dopo 6 mesi GFR 20 ml/m2
Al 7° mese switch a MMF per Angioedema Dopo 1 mese GFR 36.2 ml/m2
Oggi GFR 56.3ml/m2
Event Everolimus1.5 mg/day(n = 209)
Everolimus 3.0 mg/day(n = 211)
Aza
(n = 214)
Significance
Pericardial/pleural effusion
Pleural effusion 32 (15.3%) 32 (15.1%) 31 (14.5%) n.s.
Mild pericardial effusion(no non drug therapy/no hospitalization)
12 (5.7%) 10 (4.7%) 12 (5.6%)
Moderate pericardial effusion (non drug therapy)
17 (8.1%) 14 (6.6%) 17 (7.9%) n.s.
Severe pericardial effusion (non drug therapy/hospitalization)
21 (10.0%) 25 (11.8%) 7 (3.3%) p < 0.01
Cardiac tamponade 5 (2.4%) 9 (4.3%) 3 (1.4%) p < 0.07 vs everolimus 3.0 mg/day
Patients with pericardial effusion and/or pleural effusion (B253)
Proteinuria
Diekmann et al, American Journal of Transplantation 2004; 4:1869-1875
20-30 -20 -10 0 10 20
Time after conversion (months)
0,2
0,3
0,4
0,5
0,6
0,7
0,8
-30 -20 -10 0 10
Time after conversion (months)
0,2
0,3
0,4
0,5
0,6
0,7
0,8
1/C
reati
nin
e
(dL/
mg)
Pre-conversion proteinuria below 0.8 g/day was the only predictor for positive outcome of conversion in a multivariate analysis
Predictors of success in conversion from CNI to
sirolimus in CAD
Responders
Non-responders
Corretto Timing dello switch
Proteinuria Esperienza del centro di Napoli
Su circa 50 Switch ad everolimus in mantenimento 5 pazienti attualmente sono in dialisi (in 2 pazienti switch per insufficienza renale)
Lo switch era stato in tutti i casi tardivo (creatinina >2,5mg/dl)
Il dosaggio della proteinuria delle 24 ore è entrato nella pratica clinica da circa 1 anno.
Infections
ADULT HEART TRANSPLANT RECIPIENTS: Cause of Death (1982-2001)
ISHLT Registry
0%
20%
40%
60%
80%
100%
0-30 Days (N = 3,144)
31 Days - 1 Year (N = 2,934)
>1 Year - 3 Years (N = 1,925)
>3 Years - 5 Years (N = 1,363)
>5 Years (N = 2,831)
Per
cen
tag
e o
f d
eath
s
Other
Technical
Graft Failure - Other
Primary Graft Failure
Infection, Non-CMV
Acute Rejection
CMV
Malignancy, Other
Lymphoma
CAV
0.25% 2.3% 1.1% 0.22% 0.11% CMV
Safety B253 Study
Viral Infections
CMV (%) 8.6* 8.1* 22.2
Herpes simplex (%) 8.1 5.7 10.7
Herpes zoster (%) 3.8 6.6 5.6
*p < 0.05 vs. AZA
Everolimus Everolimus AZA1.5mg 3.0mg
SirolimusViral Infections
CMV (%) 11.7 8.1 20.4
Herpes simplex (%) 17.7 29.3 15.9
Herpes zoster (%) 8.8 1.7 9.1
Keogh et al, Circulation 2004
Sirolimus Sirolimus AZA3mg 5mg
Fewer CMV infections with everolimus
*p<0.05 vs MMF or AZA
19
22
*8
*5
*8
*8
0
5
10
15
20
25
Pat
ien
ts (
%)
Everolimus
1.5 mg/day(n=194)
Everolimus
3.0 mg/day(n=198)
MMF2 mg/day(n=196)
AZA1–3 mg/kg/day
(n=214)
Renal transplants (Study 201)
Heart transplants (Study 253)
Everolimus
1.5 mg/day(n=209)
Everolimus
3.0 mg/day(n=211)
CMV infection in heart transplant recipients:association with impaired endothelial function
Petrakopoulou et al., Circulation 2004
D+/R-Recipient at risk
for survival
D+/R-Recipient at risk
for survival
737% versus 863%at 60 months
43
Infections (Study B253)
INFECTIONS 1.5 mg RAD 3.0 mg RAD AZA(N=209) (N=211) (N=214)
Viral 14.8%a 17.1%b 31.3%CMV 8.1%a 8.1%a 22.0%Herpes simplex 8.1% 5.7% 10.3%Herpes zoster 2.9% 5.7% 4.7%
Bacterial 33.0%a 37.9%b 24.8%
Fungal 7.7% 11.4% 8.9%Aspergillus 1.9% 2.4% 0.5%Candida 4.7% 8.5% 7.4%
a) RAD 1.5 mg vs AZA; b) RAD 3mg vs AZA; (p<0.05)
Infezioni da CMV Esperienza del centro di Napoli
20%
5%0%
64%
35%
3%
35%
21%
0%0%
20%
40%
60%
80%
CSA/EVE CSA/MMF TAC/MMF
Riattivazione
Trattamento
Malattia
35 31 15
ADULT HEART TRANSPLANT RECIPIENTS: Cumulative incidence of leading causes of death
(Transplants: January 1992 - June 2003)
0,0%
1,0%
2,0%
3,0%
4,0%
5,0%
6,0%
0 1 2 3 4 5 6 7 8
Time (years)
% c
au
se
-sp
ec
ific
de
ath
s
CAV Acute Rejection Malignancy (non-Lymph/PTLD)Primary Failure Graft Failure CMVInfection (non-CMV)
ISHLT 2005J Heart Lung Transplant 2005;24: 945-982
Pneumonia
Pneumonia post solid organ transplant
CAP ...
Months post-transplantation
1 65432Tx
S. aureus (MRSA)EnterobacteriaceaeNon-FermenterLegionella
Mycobacteria, NocardiaPneumocystis, Aspergillus, Cryptococcus
CMVRSV(Para)InfluenzaEBV
Opportunistic pneumonia
PneumococcusMycoplasmaLegionellaH. influencaS. aureusEnterobacteriaceae
HAP/VAP
Candida
Phase I Phase II Phase III
Infections leading to discontinuation of study medication – B253 study
Anemia (%) 0 5 (2.4) 1 (0.5)Leukopenia (%) 4 (1.9) 5 (2.4) 6 (2.8)Thrombopenia (%) 0 4 (1.9) 1 (0.5)
Infections (%) 4 (1.9) 10 (4.7) 4 (1.9)
Creatinine (%) 4 (1.9) 1 (0.5) 1 (0.5)Respiratory (%) 7 (3.3) 2 (0.9) 1 (0.5)
Adverse event Everolimus Everolimus AZA1.5 mg/day 3.0 mg/day
Bacterial and fungal infections in study B253
Bacterial (%) 33* 38* 25
Fungal (%) 7.7 11.4 8.9
Aspergillus (%) 2 2.4 0.5
Candida (%) 4.7 8.5 7.4
*p < 0.05 vs AZA
Everolimus Everolimus AZA1.5 mg/day 3.0 mg/day
Pneumocystis carinii and PSI (StudyB253)
Everolimus (B253) 0.47 1.4 0.45
PSI low PSI high AZA1.5 mg/day 3.0 mg/day
Infections Reported as AE’s /Study 2411
Everolimus (N=91)
MMF
(N=83)
n (%) n (%)Any infection 59 (64.8) 56 (67.5)Bacterial 29 (31.9) 30 (36.1)Fungal 9 (9.9) 2 (2.4)Viral 15 (16.5) 21 (25.3) Cytomegalovirus 3 (3.3) 14 (16.9)Other 10 (11.0) 13 (15.7)
Infezioni di ferita e PolmonitiEsperienza del centro di Napoli
14%
2%
28%
4%0%
6%0%
20%
40%
60%
80%
100%
CSA/EVE CSA/MMF TAC/MMF
Polmoniti
Ferita
No
1535 31
53
New Era in ImmunsuppressionNew Era in ImmunsuppressionIS scheme for all patientsIS scheme for all patients
Individualised ImmunsuppressionIndividualised Immunsuppression
Combination of drugs depending on risk factorsCombination of drugs depending on risk factors
highhigh lowlowpreTX rejection markers high (PRA‘s, posXM)preTX rejection markers high (PRA‘s, posXM)
Early rejectionEarly rejection
Late RetransplantationLate Retransplantation
InfectionsInfections
old Patientsold Patients
DiabeticsDiabetics
Skin-tumorsSkin-tumors
Side effectsSide effectscancercancer
recurrent rejectionrecurrent rejectionEarly development of graft vasculopathy or BOSEarly development of graft vasculopathy or BOS
54
55
0
20
40
60
80
100
Cyclosporine Tacrolimus Rapamycin MMF Azathioprine Prednisone
% o
f P
ati
en
ts
Year 1 (N = 4,072)
Year 5 (N = 2,928)
ADULT HEART RECIPIENTS Maintenance Immunosuppression at Any Time During Follow-up Period
For follow-ups between October 1999 and December 2001
ISHLT DATA 2002
0
20
40
60
80
100
CalcineurinInhibitor
CellCycle Prednisone CalcineurinInhibitor
CellCycle Prednisone
% o
f P
ati
en
ts
CyA
TacTac
CyA
AZA
AZA
MMF
MMF
ADULT HEART RECIPIENTS Maintenance Immunosuppression at Time of Follow-up
For follow-ups between October 1999 and December 2001
ISHLT DATA 2002
1 Year Follow-up (N = 3,165) 5 Year Follow-up (N = 2,588)
0%
20%
40%
60%
80%
100%
Year 1 (N = 3,165) Year 5 (N = 2,588)
% o
f P
ati
en
ts
None Given
Other
Tacrolimus + MMF
Tacrolimus + AZA
Cyclosporine + MMF
Cyclosporine + AZA
ADULT HEART RECIPIENTS Maintenance Immunosuppression at Time of Follow-up
For follow-ups between October 1999 and December 2001
ISHLT DATA 2002
POST-HEART TRANSPLANT MORBIDITY FOR ADULTS Cumulative Incidence for Survivors (April 1994-December 2000)
ISHLT DATA 2002
Outcome By 1 Year By 5 Years
Hypertension 72.4% (N=12,496)
95.1% (N=3,465)
Renal Function (N=12,511) (N=3,776)
Normal 74.8% 69.1% Renal Dysfunction 14.9% 17.6% Creatinine>2.5 mg/dl 9.0% 10.4% Chronic Dialysis 1.2% 2.5% Renal Transplant 0.2% 0.4%
Hyperlipidemia
48.7% (N=13,183)
81.3% (N=3,899)
Diabetes 24.1% (N=12,487)
32.0% (N=3,444)
CAV 8.2% (N=11,260) 33.2% (N=2,376)
HEART TRANSPLANTATION Actuarial Survival (1982-2001)
ISHLT DATA 2002
0
20
40
60
80
100
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
Years Post-Transplantation
Su
rviv
al
(%)
N=60,936
Half-life = 9.3 yearsConditional Half-life = 11.8 years
0
20
40
60
80
100
Cyclosporine Tacrolimus Rapamycin MMF Azathioprine Prednisone
% o
f P
ati
en
ts
Year 1 (N = 5,068) Year 5 (N = 5,068)
ADULT HEART RECIPIENTS Maintenance Immunosuppression at Time of Follow-up
For the Same Patients(Follow-ups: January 2000 - June 2008)
ISHLT
Analysis is limited to patients who were alive at the time of the follow-up2009
0
20
40
60
80
100
Cyclosporine Tacrolimus Rapamycin MMF Azathioprine Prednisone
% o
f P
atie
nts
2000 (N = 1,503) 2003 (N = 1,610) July 2007 - June 2008 (N = 1,705)
ADULT HEART RECIPIENTS Maintenance Immunosuppression at Time of 1 Year Follow-up
NOTE: Different patients are analyzed in each time frame.
ISHLT
Analysis is limited to patients who were alive at the time of the follow-up2009
0%
20%
40%
60%
80%
100%
Year 1 (N = 5,068) Year 5 (N = 5,068)
% o
f P
ati
en
ts
None
Other
Tacrolimus
Cyclosporine
Rapa + cellcycle
Rapa + calcineurin
Tacrolimus + MMF
Tacrolimus + AZA
Cyclosporine + MMF
Cyclosporine + AZA
ADULT HEART RECIPIENTS Maintenance Immunosuppression Drug Combinations at Time of Follow-up
For the Same Patients(Follow-ups: January 2000 - June 2008)
ISHLT
Analysis is limited to patients who were alive at the time of the follow-up2009
POST-HEART TRANSPLANT MORBIDITY FOR ADULTS
Cumulative Prevalence in Survivors at 1, 5 and 10 Years Post-Transplant (Follow-ups: April 1994 - June 2008)
Outcome Within 1
Year
Total N with known
response
Within 5 Years
Total N with known
response
Within 10 Years
Total N with
known response
Hypertension 73.3% (N = 22,977) 93.3% (N = 9,853) 97.4% (N = 2,229)
Renal Dysfunction 27.2% (N = 23,581) 31.9% (N = 11,110) 38.3% (N = 3,077)
Abnormal Creatinine < 2.5 mg/dl 18.5% 21.6% 24.8% Creatinine > 2.5 mg/dl 7.0% 7.5% 7.4% Chronic Dialysis 1.4% 2.4% 4.7% Renal Transplant 0.3% 0.4% 1.5%
Hyperlipidemia 57.6% (N = 24,319) 87.7% (N = 11,093) 93.3% (N = 2,650)
Diabetes 27.8% (N = 23,623) 36.1% (N = 10,235) 38.6% (N = 2,392)
Cardiac Allograft Vasculopathy 7.8% (N = 21,357) 30.8% (N = 7,495) 51.9% (N = 1,542)
ISHLT
2009
POST-HEART TRANSPLANT MORBIDITY FOR ADULTS Cumulative Prevalence in Survivors within 1 and 5 Years
Post-Transplant (Transplants: 2000 - June 2003)For the Same Patients
Outcome Within 1
Year
Total number
with known response
Within 5 Years
Total number
with known response
Hypertension 76.3% (N = 2,324) 89.8% (N = 2,324)
Renal Dysfunction 26.9% (N = 2,324) 30.9% (N = 2,324)
Abnormal Creatinine < 2.5 mg/dl 20.4% 24.2%
Creatinine > 2.5 mg/dl 5.6% 4.6%
Chronic Dialysis 0.6% 1.7%
Renal Transplant 0.2% 0.3%
Hyperlipidemia 74.1% (N = 2,324) 91.3% (N = 2,324)
Diabetes 26.6% (N = 2,324) 38.7% (N = 2,324)
Cardiac Allograft Vasculopathy 5.2% (N = 2,324) 27.5% (N = 2,324)
ISHLT
2009
Renal Outcome in Selected young patients
Effetto in diverse categorie di GFR preoperatorio (MDRD)
7 Pazienti con GFR > 90:– 102,2 pre 100,1 1a
26 Pazienti con GFR 60-90:– 73,3 pre 53,4 1a
22 Pazienti con GFR < 60:– 50,7 pre 57,4 1a
1 Paziente con GFR < 30:– 26,1 pre 46,9 1a
Caso Clinico M 64 CMD post-ischemica in pz operato per endocardite
aortica post coronarografia (SVA+ Duplice BPAC) Ipertensione polmonare irreversibile con O2 e Flolan Dopo 3 mesi di Sildenafil3,6UW All’ingresso in lista per TC GFR 70,4 ml/m2 Dialisi
per scompenso di circolo Trapianto il 12.03.2007 in anticipo con organo marginale
(Torino 22 anni Trauma, arresto cardiaco di 5 min, Nora 0,14 γ/Kg/min, Adr 0,11 γ/Kg/min, ischemia 4.30)
CERTICAN DE NOVO Alla dimissione GFR 34,8 ml/m2 A 3 anni GFR 48,1 ml/m2 Attualmente GFR 58,52 ml/m2
0
20
40
60
80
100
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22
Years
Su
rviv
al
(%)
Half-life = 10.0 yearsConditional Half-life = 13.0 years
N=78,050
ISHLT
N at risk at 22 years: 145
HEART TRANSPLANTATION Kaplan-Meier Survival (1/1982-6/2007)
2009
ADULT HEART TRANSPLANTATION Kaplan-Meier Survival by Era (Transplants: 1/1982 – 6/2007)
0
20
40
60
80
100
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Years
1982-1991 (N=18,846)
1992-2001 (N=35,238)
2002-6/2007 (N=15,620)
All comparisons significant at p < 0.0001
HALF-LIFE 1982-1991: 8.8 years; 1992-2001: 10.5 years; 2002-6/2007: NA
Su
rviv
al (
%)
ISHLT
2009
71
Nell’ultimo anno 3 pazienti in Everolimus/MMF per Renal Dysfunction
Lessons learnt
Start PSI after delay post-transplantation (3–5 days) Induction therapy helps to delay therapy without increase Rejection
Rate Start with low dose (even 0,25 mg x 2 /die) Mantain chest tube until Dry If Necessary Open pleural cavity during transplantation to allow
drainage (redo) Routine use of ECHO (1 x week) to detect potential pericardial
effusion Sequential Therapy in redo requiring femoral vessels cannulation
There seem to be differences between sirolimus & everolimus with regard to wound healing in clinical trials
Lessons learnt
In Selected Patients Sequential Therapy Could Allow Reduction of the incidence of Adverse Events
– Patients with Perioperative Renal Disfunction– Patients requiring long Intubation– Obese Patients– Redo Patients– UNOS 1 patients (higher risk of long intubation)
Often these patients are also the best candidate to Everolimus
Lessons learnt
Switch to MMF may be valuable when severe proteinuria or Angioedema.
Renal Outcome depends from CSA trough level, Everolimus must always be used in a policy of CNI minimization.
In heart transplantation Hyperlipidemia and Skin Disorders are not a burden.
Older recipients CSA/Eve (Start with low dose)
Preoperative Renal Dysfunction
Always use EVE + low CNI dose
CMV mismatch Everolimus +/- Prophylaxis (VAL-G)
Paediatrics Everolimus +/- Tacrolimus
Patients with previousHBV HCV HIV or EBV Everolimus + Antiviral Therapy
Everolimus in special populations
Young Patients TAC/MMF
Older Donors CSA/EVE
Perioperative Renal Dysfunction
Exclude Proteinuria before start Everolimus
Proteinuria Avoid Everolimus or associate ACE-Inhibitors
All Patients in Eve Associate Statins If Tolerate
Everolimus in special populations