live donor registry steve chadban. transplant numbers

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Live Donor Registry Steve Chadban

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Page 1: Live Donor Registry Steve Chadban.  Transplant numbers

Live Donor Registry

Steve Chadban

Page 2: Live Donor Registry Steve Chadban.  Transplant numbers

Transplant numbers

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6Australia New Zealand

Cadaveric Live related Live unrelatedDonor source

Num

ber

ANZDATA, Tx numbers by year and source

Page 3: Live Donor Registry Steve Chadban.  Transplant numbers

Impaired kidney functionCalculated GFR (body surface area

adjusted)

Median and interquartile range

Page 4: Live Donor Registry Steve Chadban.  Transplant numbers

Age 25-34 35-44 45-54 55-64 65-74 75+

IFG

%

2.0 5.2 7.2 8.7 7.6 6.8

IGT

%

3.4 6.5 10.0 15.2 21.2 23.2

New DM

0.1 1.4 2.9 6.6 8.5 12.1

Known DM

0.2 1.0 3.3 6.5 9.4 10.9

Prevalence of abnormal glucose metabolism* in Australian Adults, AusDiab 1999-2000.

*WHO criteria after OGTT Dunstan etal. Diabetes Care 2002;25:829-34

Page 5: Live Donor Registry Steve Chadban.  Transplant numbers

Patients who have undergone unilateral nephrectomy who are obese:

Praga et al. KI 2000;58:2111

Page 6: Live Donor Registry Steve Chadban.  Transplant numbers

Risk of ESKD after kidney donation - USA

• Kidney donors on waiting list 0.15%– Incidence

• white < 50 0.04%• Black <50 0.2%

– Significantly greater than risk in age matched popgen pop donor

• White 30-39 0.008 0.1• Black 0.04 0.52

– Cause of ESRF• FSGS• DM

– 20-50% have a family Hx of DM– Age at donation 38.5y– Age at ESRF 49

Connie Davis, ATC 2005

Page 7: Live Donor Registry Steve Chadban.  Transplant numbers

Pre-donation data

• Commenced 2004, data 2004-6 = 764 (>95%)

• Age 48+/-11yrs, 25%>57, 18%>60 • F 56%, M 44%, 89% caucasian• 62% related, 22%spousal, 15% other LURD• SCr 78+/-15 umol/L, 25%>88 • GFR 112 +/-30, GFR<96 in 25%

– Nuc GFR (n=329) 117+/-23, 25% <100, 2%<80– MDRD or CrCl (n=250) 107 +/-36, 25%<76, 29%<80

Page 8: Live Donor Registry Steve Chadban.  Transplant numbers

Pre-donation data

• SCr 78+/-15 umol/L, 25%>88 • GFR 112 +/-30, GFR<96 in 25%

– Nuc GFR (n=329) 117+/-23, 25% <100, 2%<80– MDRD or CrCl (n=250) 107 +/-36, 25%<76, 29%<80

• Proteinuria (n=627 or 82%)– Mean 0.12g/day– >0.20g/d in 21 (3.3%)

Page 9: Live Donor Registry Steve Chadban.  Transplant numbers

Pre-donation data

• BMI 26 +/-4.0 – 16% 30-35, 2.3% > 35• Diabetes – known (10) + OGTT (14) = 24 (3%)

– OGTT reported 70%, 81% normal, 17% IFG, 2% DM– +FHx in 21%– 2 diabetic donors with BP>140/90

• BP 125/75 +/- 13/9– Systolic BP >140 in 6%, DBP >90 in 2.7%, >140/90 in

1.6%

• Smoking – 8.3%

Page 10: Live Donor Registry Steve Chadban.  Transplant numbers

Follow-up post-nephrectomy

• 1 year = 23%, 2 year = 15%• 1yr follow-up (n=235):

– SBP 124±13– DBP 75±8– New hypertension 10%– SCr 108±23– MDRD 59±12 – 25% <51– PCR (n=75) 5.6±5.5– Reported problems (n) – elevated SCr (6), proteinuria

(3), pain (1), IgA (1), retroperitoneal fibrosis (1).

Page 11: Live Donor Registry Steve Chadban.  Transplant numbers

Key Issues

Follow-up – non-mandated but crucial!• Current follow-up data not useful• Frequency of ESKD among donors, mortality• Outcomes at extremes of GFR

– Hyperfiltration – GFR>140 with low-grade proteinuria– Low baseline GFR – typically elderly, impact on CVS outcomes

• Proteinuria – development, evolution, relationship to BMI, diabetes

• BP – kidney, CVS and BP outcomes among hypertensives, smokers

• Controls