Table 5.1.1: Stock and Flow of Renal Transplantation, Year New transplant patients Died Graft failure Lost to Follow up Functioning graft at 31st December Figure 5.1.1: Stock and Flow of Renal Transplantation,

Table 5.1.2: New Transplant Rate per million population (pmp), Year New transplant patients New transplant rate, pmp Figure 5.1.2: New Transplant Rate,

Table 5.1.3: Transplant Prevalence Rate per million population (pmp), Year Functioning graft at 31st Dec Transplant prevalence rate, pmp Figure 5.1.3: Transplant Prevalence Rate,

Table 5.1.4: Place of Transplantation, Year No.% % % % % HKL UMMC Selayang Hospital Other local China India Other overseas Unknown TOTAL Year TOTAL No.% % % % % % HKL UMMC Selayang Hospital Other local China India Other overseas Unknown TOTAL

Table 5.2.1: Renal Transplant Recipients’ Characteristics, Year New Transplant Patients Age at transplant (years), Mean Age at transplant (years), SD % Male % Diabetic (co-morbid/ primary renal disease) % HBsAg positive % Anti-HCV positive

Year No.% % % % % New transplant patients Glomerulonephritis Diabetes Mellitus Hypertension Obstructive uropathy ADPKD Drugs / toxic nephropathy Hereditary nephritis Unknown Others Table 5.2.2: Primary Causes of End Stage Renal Failure, Year No.% % % % % New transplant patients Glomerulonephritis Diabetes Mellitus Hypertension Obstructive uropathy ADPKD Drugs / toxic nephropathy Hereditary nephritis Unknown Others

Table 5.3.1: Type of Renal Transplantation, *Commercial Cadaver (China, India, other oversea) *Commercial live donor (living unrelated) *Cadaver (local) Year No.% % % % % Commercial cadaver Commercial live donor Live donor (genetically related) Live donor (emotionally related) Cadaver Total Year No.% % % % % Commercial cadaver Commercial live donor Live donor (genetically related) Live donor (emotionally related) Cadaver Total

Table 5.3.2: Biochemical Data, Biochemical parametersSummary Creatinine, umol/LN Mean SD Median Minimum Maximum Hb, g/dLN Mean SD1.9 Median Minimum Maximum Albumin, g/LN Mean39.9 SD Median39.9 Minimum3429 Maximum4648 Calcium, mmol/LN Mean2.3 SD0.2 Median2.3 Minimum Maximum

Phosphate, mmol/LN Mean1.1 SD Median1.1 Minimum0.5 Maximum Alkaline Phosphate (ALP), U/LN Mean SD Median Minimum Maximum ALT, U/LN Mean SD Median Minimum444 Maximum Biochemical parametersSummary

Total cholesterol, mmol/LN Mean SD111 Median5.3 Minimum Maximum LDL cholesterol, mmol/LN Mean333 SD0.8 Median333 Minimum0.911 Maximum HDL cholesterol, mmol/LN Mean SD Median1.6 Minimum0.4 Maximum Systolic Blood Pressure, mmHgN Mean SD Median130 Minimum Maximum Biochemical parametersSummary

Biochemical parametersSummary Diastolic Blood Pressure, mmHgN Mean SD Median80 Minimum Maximum

Table 5.3.3: Medication Data, Medication dataSingle drug treatmentCombined drug treatment N%N%N%N%N%N% All (i) Immunosuppressive drug(s) treatment Prednisolone Azathioprine Cyclosporin A Tacrolimus (FK506) Mycophenolate Mofetil (MMF) Rapamycin Others (ii) Non-Immunosuppressive drug(s) treatment Beta blocker Calcium channel blocker ACE inhibitor AIIRB Anti-lipid Other anti-hypertensive

Table 5.4.1: Post Transplant Complications, Post transplant complications Complication developed before transplant (regardless of complication after transplantation) Complication developed only after transplantation No.% % % % % % All patients Diabetes (either as Primary Renal Disease or co-morbid) Cancer Cardiovascular disease + cerebrovascular disorder Hypertension *Hypertension: BP systolic>140 and BP diastolic >90 OR have either Beta blocker/ Calcium channel blocker / ACE inhibitor / AIIRB / Other anti-hypertensive

Table 5.4.2: Transplant Patients Death Rate and Graft Loss, 1998– 2007 Year No. at risk Transplant death Transplant death rate % Graft loss Graft loss rate % Acute rejection Acute rejection rate % All losses All losses rate % *Graft loss=graft failure *All losses=death / graft loss (acute rejection happens concurrently with graft failure / death)

Figure (i): Transplant Recipient Death Rate, Figure (ii): Transplant Recipient Graft Loss Rate,

Table 5.4.3: Causes of Death in Transplant Recipients, Year No.% % % % % Cardiovascular Died at home Infection Graft failure Cancer Liver disease Accidental death Others Unknown TOTAL Year No.% % % % % Cardiovascular Died at home Infection Graft failure Cancer Liver disease Accidental death Others Unknown TOTAL

Table 5.4.4: Causes of Graft Failure, Year No.% % % % % Rejection Calcineurin toxicity Other drug toxicity Ureteric obstruction Infection Vascular causes Recurrent / de novo renal disease Others Unknown TOTAL Year No.% % % % % Rejection Calcineurin toxicity Other drug toxicity Ureteric obstruction Infection Vascular causes Recurrent / de novo renal disease Others Unknown TOTAL

Table 5.5.1: Patient Survival, Interval (years)No.% SurvivalSE No.=Number at risk SE=standard error Figure 5.5.1: Patient Survival,

Table 5.5.2: Graft Survival, Interval (years)No.% SurvivalSE No.=Number at riskSE=standard error Figure 5.5.2: Graft Survival,

Table 5.5.3: Patient Survival by Type of Transplant, Type of Transplant Commercial CadaverCommercial Live DonorLive DonorCadaver Interval (years)No. % Survival SENo. % Survival SENo. % Survival SENo. % Survival SE No.=Number at riskSE=standard error Figure 5.5.3: Patient Survival by Type of Transplant,

Table 5.5.4: Graft Survival by Type of Transplant, Type of Transplant Commercial CadaverCommercial Live DonorLive DonorCadaver Interval (years)No.% SurvivalSENo.% SurvivalSENo.% SurvivalSENo.% SurvivalSE %1%21294%2%39592%1%14677%3% %1%17482%3%31288%2%10468%3% %1%14472%3%25483%2%8063%4% %2%8651%4%9169%3%747%7% %3%7045%4%4563%4%2-- No.=Number at riskSE=standard error Figure 5.5.4: Graft Survival by Type of Transplants,

Table 5.5.5: Patient Survival by Year of Transplant (Living Related Transplant, ) Year of Transplant (years)No.% SurvivalSENo.% SurvivalSE No.=Number at riskSE=standard error Figure 5.5.5: Patient Survival by Year of Transplant (Living Related Transplant, )

Table 5.5.6: Graft Survival by Year of Transplant (Living Related Transplant, ) Year of Transplant (years)No.% SurvivalSENo.% SurvivalSE SE=standard error Figure 5.5.6: Graft Survival by Year of Transplant (Living Related Transplant, )

Table 5.5.7: Patient Survival by Year of Transplant (Commercial Cadaver Transplant, ) Year of Transplant (years)No.% SurvivalSENo.% SurvivalSE No.=Number at riskSE=standard error Figure 5.5.7: Patient Survival by Year of Transplant (Commercial Cadaver Transplant, )

Table 5.5.8: Graft Survival by Year of Transplant (Commercial Cadaver Transplant, ) Year of Transplant Interval (years)No.% SurvivalSENo.% SurvivalSE No.=Number at riskSE=standard error Figure 5.5.8: Graft Survival by Year of Transplant (Commercial Cadaver Transplant, )

Table 5.6.1: Risk Factors for IHD in Renal Transplant Recipients at Year 2005, 2006 and Diabetes19 (1.2)21 (1.4)25 (1.6) Hypertension**511 (33.4)456 (31.2)590 (37.5) CKD142 (9.3)177 (12.1)126 (8.0) Diabetes + Hypertension**160 (10.4)154 (10.5)174 (11.1) Diabetes + CKD20 (1.3)18 (1.2)11 (0.7) CKD + Hypertension**538 (35.1)490 (33.5)517 (32.8) Diabetes + CKD + Hypertension**142 (9.3)147 (10.0)131 (8.3) **Hypertension: BP systolic > 140 and BP diastolic > 90 OR have either Beta blocker / Calcium channel blocker / ACE inhibitor / AIIRB / Other anti-hypertensive drugs GFR (mL/min/1.73m2) = 1.2*(140-age(year))*weight(kg) / creatinine (µmol/L) if male GFR (mL/min/1.73m2) = 0.85*(1.2*(140-age(year))*weight(kg) / creatinine (µmol/L) if female CKD stage III-GFR, CKD stage IV-GFR, CKD stage V-GFR, <15 Figure a: Venn Diagram for Pre and Post Transplant Complications (in %) at Year 2005

Figure b: Venn Diagram for Pre and Post Transplant Complications (in %) at Year 2006 Figure c: Venn Diagram for Pre and Post Transplant Complications (in %) at Year 2007

Table a: Distribution of Patients by Systolic BP Levels, No.(%)No.(%)No.(%) Systolic BP<120233(14.25)249(15.64)239(14.18) Systolic BP <130318(19.45)395(24.81)392(23.26) Systolic BP (29.05)483(30.34)529(31.39) Systolic BP (27.65)353(22.17)409(24.27) Systolic BP (8.13)93(5.84)99(5.88) Systolic BP >=18024(1.47)19(1.19)17(1.01) Figure a: Distribution of Patients by Systolic BP Levels,

Table b: Distribution of Patients by Diastolic BP Levels, Year No.(%)No.(%)No.(%) Diastolic BP<80522(31.93)624(39.20)697(41.36) Diastolic BP <85657(40.18)586(36.81)609(36.14) Diastolic BP (4.46)73(4.59)74(4.39) Diastolic BP (18.84)244(15.33)261(15.49) Diastolic BP (3.98)61(3.83)39(2.31) Diastolic BP ≥11010(0.61)4(0.25)5(0.30) Figure b: Distribution of Patients by Diastolic BP Levels,

Table 5.6.3: Distribution of Patients by CKD Stages, No.(%)No.(%)No.(%) CKD stage 1118(7.25)116(7.33)180(10.80) CKD stage 2579(35.59)534(33.73)593(35.57) CKD stage 3799(49.11)804(50.79)758(45.47) CKD stage 4112(6.88)107(6.76)113(6.78) CKD stage 519(1.17)22(1.39)23(1.38) Figure 5.6.3: Distribution of Patients by CKD Stages,

Table 5.6.4: Distribution of Patients by BMI Levels, No.(%)No.(%)No.(%) BMI <20254(15.54)243(15.26)253(15.01) BMI (40.06)646(40.58)657(38.99) BMI (31.50)497(31.22)534(31.69) BMI > 30211(12.91)206(12.94)241(14.30) Figure 5.6.4: Distribution of Patients by BMI Levels,

Table a: Distribution of Patinets by LDL Levels, No.(%)No.(%)No.(%) LDL < (25.57)492(30.90)527(31.28) LDL (52.72)738(46.36)777(46.11) LDL ≥ (21.71)362(22.74)381(22.61) Figure 5.6.5a: Distribution of Patients by LDL Levels,

Table b: Distribution of Patients by Total Cholesterol Levels, Year No.(%)No.(%)No.(%) Total Cholesterol <4.1159(9.72)160(10.05)210(12.46) Total Cholesterol (27.83)490(30.78)539(31.99) Total Cholesterol (47.34)700(43.97)717(42.55) Total Cholesterol (10.58)173(10.87)159(9.44) Total Cholesterol > 7.274(4.53)69(4.33)60(3.56) Figure 5.6.5b: Distribution of Patients by Total Cholesterol Levels,

Table c: Distribution of Patients by HDL Levels, Year No.(%)No.(%)No.(%) HDL < HDL HDL > Figure 5.6.5c: Distribution of Patients by HDL Levels,

Table a: Treatment for Hypertension, YearNo. % on anti- hypertensives % on 1 anti- hypertensive drug % on 2 anti- hypertensives % on 3 anti- hypertensives Table b: Distribution of Systolic BP without Anti-hypertensives, YearNo.MeanSDMedianLQUQ % Patients = 160mmHg Table c: Distribution of Diastolic BP without Anti-hypertensives, YearNo.MeanSDMedianLQUQ% patients = 90mmHg Table d: Distribution of Systolic BP on Anti-hypertensives, YearNo.MeanSDMedianLQUQ% Patients = 160mmHg Table e: Distribution of Diastolic BP on Anti hypertensives, YearNo.MeanSDMedianLQUQ% Patients = 90 mmHg

Table 5.7.1: Cumulative Distribution of QoL-Index Score Transplant Recipient Patients Dialysis modalityTX Number of patients1151 Centile (LQ) (median) (UQ) Figure 5.7.1: Cumulative Distribution of QoL-Index Score Transplant Recipient Patients

Table 5.7.2: Cumulative Distribution of QoL-Index Score in Relation to Diabetes Mellitus, Transplant Recipient Patients Diabetes mellitusNoYes Number of patients Centile (LQ) (median) (UQ) Figure 5.7.2: Cumulative Distribution of QoL-Index Score in Relation to Diabetes Mellitus, Transplant Recipient Patients 1998 – 2007

Table 5.7.3: Cumulative Distribution of QoL-Index Score in Relation to Gender, Transplant Recipient Patients 1998 – 2007 GenderMaleFemale Number of patients Centile (LQ) (median) (UQ) Figure 5.7.3: Cumulative Distribution of QoL-Index Score in Relation to Gender, Transplant Recipient Patients 1998 – 2007

Age ≥60 Table 5.7.4: Cumulative Distribution of QoL-Index Score in Relation to Age, Transplant Recipient Patients 1998 – 2007 Age group (years)< ≥60 Number of patients Centile (LQ) (median) (UQ) Figure 5.7.4: Cumulative Distribution of QoL-Index Score in Relation to Age, Transplant Recipient Patients 1998 – 2007 ≥ 60

Table 5.7.5: Cumulative Distribution of QoL-Index Score in Relation to Year of Entry, Transplant Recipient Patients 1998 – 2007 Year of Entry Number of patients Centile (LQ) (median) (UQ) Figure 5.7.5: Cumulative Distribution of QoL-Index score in Relation to Year of Entry, Transplant Recipient Patients 1998 – 2007