Risk Factors in Long Term Immunosuppressive Use and Advagraf. Daniel Serón Nephrology department Hospital Universitari Vall d Hebron

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Risk Factors in Long Term Immunosuppressive Use and Advagraf Daniel Serón Nephrology department Hospital Universitari Vall d Hebron

Progressive well defined diseases ABMR GN Polyoma Non-specific Findings Fibrosis Inflammation Non-specific Findings Fibrosis Inflammation 1 st year > 1 year

Time dependency of histological diagnosis Sellares J et al. Am J Transplant 2012; 12: 388

ABMR is the main cause of graft failure 70 60 50 40 30 20 10 0 Late Early Before 6 m After 6m Torres IB et al. Unpubliished observation

Inflammation a driving force for fibrosis Prevention of early inflammation and progression of fibrosis Providing an adequate immunosuppression

Inflammation a driving force for fibrosis Prevention of early inflammation and progression of fibrosis Providing an adequate immunosuppression

Temporal evolution of histologic lesions 120 patients with DM1, receiving a kidney-pancreas transplant, 961 biopsies Subclinical inflammation IF/TA Glomerulosclerosis Nankivell B et al N Engl J Med 2003; 349: 2236

Fibrosis is measured with an ordinal scale 100% 50% 3 25% 10% 0% 2 1 0

Inflammation and progression of IF/TA in paired biopsies n=598 Bx, (no SCR 462, SCRB 102, SCRA 34) * p<0.05 ***p<0.001 Nankivell BJ et al, Transplantation 2004; 78:242

Classification of inflammation and fibrosis Normal (no inflammation no fibrosis) Inflammation (no fibrosis) Fibrosis (no inflammation) Inflammation and fibrosis

i-if/ta Surveillance biopsies < 6 m 1.75 Normal=186 i=74 IF/TA=110.5 i=if/ta=65.25 0 50 100 150 200 months Shishido et al, JASN 2003; 14: 1046 Cosio FG et al, Am J Transplant 2005; 5: 2464, Moreso F et al Am J Transplant 2006; 6:747 Gago M et al. Am J Transplant 2012; 12: 1199

Inflammation at 1m/4m and IF/TA and i-if/ta at 1 y Induction + TAC+MMF+P (500, 250,125,60,30) No inflammation 172, Borderline 50, acute rejection 19 60 50 40 30 20 10 0 IF/TA 2 IF/TA 2 60 50 40 30 20 10 0 i-if/ta i-if/ta Heilman RL et al. Am J Transplant 2010; 10: 563

Inflammation IF/TA and i-if/ta at 1year IF/TA Inflammation i-if/ta

Moreso F et al. Transplantation 2012; 93: 41 Inflammation at 4 m and risk of late AMR 1988-2006 Surveillance Bx n = 517 7y Late AMR 44 IF/TA nos 42 Recurrence 11 De novo GN 7 Acute rejection 4 Polyoma 1 Acute score (p=0.003) Indication Bx n = 109

CHR, IF/TA and outcome Moreso F et al. Transplantation 2012; 93: 41

Surveillance Bx at 6m, de novo DSA and late AMR n=315 (DSA=47, no DSA=268) Time of DSA detection 4.6±3.0 0,7 0,6 0,5 0,4 0,3 i ptc 0,2 0,1 0 DSA No DSA Wiebe C et al. Am J Transplant 2012; 12: 1157

Graft survival and DSA Wiebe C et al. Am J Transplant 2012; 12: 1157

AR during 1st year in DSA neg pts and 1y % normal histology at 1 y protocol Bx n=797 pts (1998-2010), DSA pre Tx neg % class II DSA at 1 y El Ters M et al. Am J Transplant 2013: 13: 2334

IF/TA Inflammation i-if/ta CHR+IF/TA

What does early inflammation mean? a.) Injury repair innate immunity a.) Alloimmune response aquired immune response against donor antigens

Anti-donor cellular reactivity & subclinical inflammation Bestard O et al. Kidney Int 2013; 84: 1126 N=60 pts Elispot and protocol biopsy at 6 months (SRL 22 and TAC 38)

Injury/repair after kidney transplantation Tissue Damage Complement Apoptosis Necrosis Inflammation MBL

Failure to repair injury and inflammation: Mannose binding lectin Ibernon M et al. Transpl Immunol 2014; 31: 152

Ibernon M et al. Transpl Immunol 2014; 31: 152

Ibernon M et al. Transpl Immunol 2014; 31: 152 Low MBL and increased inflammation and apoptosis Apoptotic cells Inflammation 3,5 3 p=0.044 2,5 2 1,5 1 v t i g 0,5 0 MBL T1 MBL T2+T3

Alloimmunity IF/TA Inflammation i-if/ta Injury/repair CHR

Inflammation a driving force for fibrosis Prevention of early inflammation and progression of fibrosis Providing an adequate immunosuppression

Treatment of SCR with steroid boluses (n=72; 36 pts per group) CsA+AZA+PN Inflammation > 50 (%) Biopsy group Randomization 1 2 3 6 12 Control group Biopsy group Control group chronic score at 6m 0.50 0.13 1.02 0.31 ns ci + ct score at 6m 0.21 0.09 0.62 0.18 0.05 Rush D et al, J Am Soc Nephrol 1998; 9: 2129

Treatment of SCR in p<tients treated with TAC+MMF+P Prospective, multicentric study (12 centres) 5 7 0 9 0 Randomization 1 2 3 6 24 6 2 Biopsy group Control group Protocol Bx (n=121) Control (n=119) 6m IF/TA>2 (%) 35 20 24m IF/TA>2 (%) 48 39 24 m CrCl (ml/min) 76 27 72 18 Rush D et al Am J T ransplant2007; 7: 2538

TAC vs CsA: a case control study all treated with MMF and P n=98 borderline AR I AR II Moreso F et al Transplantation 2004; 78: 1064

Serón D et al. Transplantation 2007;83:649 652 Tac versus CsA: 4m immunophenotype Tacrolimus (n=44) vs ciclosporina (n=22) p<0.01 p<0.01 ns p<0.05

NUMBER OF INTERSTITIAL INFILTRATING CELLS ACCORDING TO TACROLIMUS TROUGH LEVELS AT BIOPSY (median TAC levels at Bx = 9.3 ng/ml) n=90 pts P = 0.0031 P=0.122 P=0.020 P=0.004 Torres IB. 2015 unpublished observation

CNI+MMF vs CNI +SRL Prospective randomized study (jun 2000-oct 2004) Basiliximab + stop steroids at 2 days Lesión CsA + MMF 50 CSA + SRL 50 TAC + MMF 50 TAC + SRL 50 BPAR % (1a) 18 8 14 4 SCR% (1a) 22 8 16 6 IF/TA % (5a) 54 16 38 14 Kumar A et al. Transpl Immunol 2008; 20:32

CNI +MMF vs CNI +EVR 6 m protocol Bx historical cohort 2002-2006 (N=51), experimental cohort 2006-2009 (N=28) 25 20 15 10 5 SCR 70 68 66 ml/min/1.73m2 0 64 50 40 30 20 10 CNI + MMF CNI + EVR IF/TA 62 60 58 56 54 CNI + MMF CNI + EVR egfr 0 CNI + MMF CNI + EVR Kanzelmeyer NK et al. Clin Transplant 2013; 27:319

Serón D et al. Kidney Int 2002;61:727 CsA minimisation & progression of IF/TA N=155 patients & 310 biopsies 0 4m 1y No progression (n=104) Progression (n=51) Donor age (years) 35 ± 18 37 ± 15 NS DGF (%) 19 16 NS AR (%) 21 20 NS Mean CsA levels (1 st biopsy) Mean CsA levels (2 nd biopsy) 218 72 217 74 NS 165 ± 50 149 ± 41 0.04 P

Tac Exposure and Evolution of Histology in the First Year After Transplantation (n=61 pairs of biopsies) Naesens M et al. AJT 2007;7:2114 2123

Cumulative survival Tacrolimus minimisation and withdrawal after 1 year is associated with poor graft survival Kidney graft survival (serum creatinine <260µmol/L); both comparisons 100 95 90 85 80 75 70 65 0 0 1 2 3 4 5 6 7 Years post-transplantation Tacrolimus: Continuation (n=1,736) Dose reduction (n=352) Withdrawal (n=296) Opelz G et al. Transplantation 2008;86:371

Inflammation and CNI free regimens 1y subclinical inflammation:concept trial n=121 pts CsA+MMF+P: continuation vs conversion to SRL at 3 m SRL CsA p N 61 60 SCI (%) 45.2 15.3 <0.01 Thierry A et al. AJT 2011; 11: 2153

Cumulative incidence of DSA Cumulative incidence of AbMR Liefeldt L et al. Am J Transplant 2012;12:1192 1198. CNI-free regimens are associated with an increased risk of DSA and antibodymediated rejection n=127 patients (Zeus and Crad001); CsA (n=66), everolimus (n=61) EVR CsA EVR CsA Time after transplantation (months) Time after transplantation (months)

Inflammation a driving force for fibrosis Prevention of early inflammation and progression of fibrosis Providing an adequate immunosuppression

Adherence in children and graft survival > 6m Medicacation possesion ratio Tx 1995-2000 4080 CNI based IS 4009 Graft survival > 6m 3908 Upper quartile 36 m follow up 3856 1-3 quartiles 36m claims database 877 Crisholm-Burns MA et al. Am J Transplant 2009; 9: 2497

Cause of graft failure and non adherence Sellares J et al. Am J Transplant 2012; 12: 388-399.

Non-adherence is associated with poor graft survival in kidney transplantation Kaplan-Meier graft survival. The non-adherent group consisted of 19 patients (3 graft failures) and the adherent group consisted of 94 patients (2 graft failures) Tielen M et al. Am J Transplant 2014;Article 675301.

Non adherence Fine et al. Am J Transplant 2009; 9: 35

Evaluation of non adherence

Morisky scale yes (0) and no (1) MMAS-4 Do you ever forget to take your medicine? Are you careless at times about taking your medicine? Sometimes when you feel worse when you take the medicine, do you stop taking it? When you feel better do you sometimes stop taking your medicine?

Factors associated with non-adherence N=312 pts: Morisky scale > 0 40 35 30 25 20 15 10 5 0 3m 6m 12m 24m % NA Couzi et al et al. Transplantation 2013; 95: 326

Non adherence 18 y 73 %males 87 % cadaveric 87 % first Tx N=63% SMAQ 27 % BAASIS 30.2 %

Prospective randomized study: adherence contract vs conventional follow up Adherence (pharmacy refill records) Probability (%) NOT to be hospitalized Chisholm-Burns MA et al. Am J Transplant 2013; 13: 2364.

High variability in tacrolimus exposure is associated with increased incidence of rejection CV% of tacrolimus levels 100 CV% >41% OR=9.7, P=0.005 80 60 40 20 0 No rejection (n=36) Rejection (n=10) Hsiau M et al. Transplantation2011;92:918

Varaibility of TAC and outcome outcome variable: late AR, TG, graft loss Sapir-Pichhadze T et al. Kidney Int 2013; 85: 1404

Variability of TAC levels and inflammation Variable Tac CV (<26,7) n = Tac CV (26,7-43,8) n = Tac CV >43,8 n=28 p-value 28 29 E GFR 57± 16 57± 13 53±17 ns g-score 0.06± 0.24 0.11 ± 0.32 0.13±0.33 ns i-score 0.17 ± 0.4 0.28± 0.5 0.57±0.6 0.0161 Total i score 0.22±0.5 0.36±0.7 0.7±0.8 0.0027 CD45 17.2±22 11.9±8 25±18 0.034 IB Torres et al Manuscript in preparation

Factors associated with non-adherence Socio-economic factors financial difficulties / lack of transportation Health organization barriers limited amount of time/patient, staff rotation Disease related factors depression and anxiety Therapy related factors side effects of drugs, complex dose regimens Patient related factors communication barriers, healt attitudes health beliefs and literacy Moreso F et al. (in press)

Improvements in correct dosing after conversion from TAC to ADV (n=219 pts) p= 0.0009 Kuypers et al. Transplantation 2013; 95: 333

Non adherence is more commonin the evening dose Kuypers et al. Transplantation 2013; 95: 333

Conversion from TAC to ADV n=1832 pts Conv 1:1 and 1 to 1.1 in pts with through levels < 6 ng(ml Guirado L et al. Am J Transplant 2011; 11: 1965

Var AUC 0-24 after conversion from TAC BID to TAC QD AUC 5 times before and 5 times after conversion (n=40) 16 14 12 10 8 6 P =0.012 TAC ADV 4 2 0 Var coeficient %14,1 Stifft F et al. Transplantation 2014;97: 775

Summary + inflammation Treatment + IF-TA i-ifta Chronic humoral rejection

Under-immunosuppression as a cause of chronic rejection and graft loss

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