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Table S1 – Demographics by recipient sex

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Table S1 – Demographics by recipient sex

Total

N Recipient Sex

Male Female p-Value

Donor Age (Years) 25140 50 (38 - 59) 49 (37 - 59) 0.020

Donor Sex (Male) 25140 8403 (53.6%) 5011 (53.0%) 0.418

Donor BMI 24449 25.6 (22.9 - 28.7) 25.4 (22.9 - 28.7) 0.077

Donor Ethnicity 25099 0.214

White 15084 (96.3%) 9052 (96.0%)

Asian 264 (1.7%) 182 (1.9%)

Black 162 (1.0%) 86 (0.9%)

Mixed/Other 158 (1.0%) 111 (1.2%)

Donor Terminal Creatinine 23382 75 (59 - 97) 75 (59 - 98) 0.701

Donor Cause of Death 25140 0.063

Intracranial haemorrhage 9845 (62.7%) 5978 (63.3%)

Hypoxic brain damage 2624 (16.7%) 1563 (16.5%)

Trauma 1752 (11.2%) 1109 (11.7%)

Other 1469 (9.4%) 800 (8.5%)

Donor Type (DBD) 25140 11181 (71.3%) 7105 (75.2%) <0.001 Donor History of Diabetes 24485 823 (5.4%) 454 (4.9%) 0.123 Donor History of Hypertension 24238 3650 (24.2%) 2117 (23.2%) 0.084 Donor Smoking History 24414 7364 (48.4%) 4395 (47.8%) 0.376

Donor HCV (Positive) 25053 21 (0.1%) 9 (0.1%) 0.451

Donor CMV (Positive) 24833 7668 (49.5%) 4561 (48.9%) 0.359 Donor Risk Index 23371 1.04 (0.96 - 1.44) 1.04 (0.96 - 1.43) 0.229 Recipient Age (Years) 25139 50 (38 - 59) 49 (37 - 59) <0.001 Recipient BMI 14402 25.9 (23.0 - 29.3) 25.3 (21.8 - 29.2) <0.001

Recipient Ethnicity 24934 0.007

White 12290 (79.0%) 7258 (77.5%)

Asian 2050 (13.2%) 1379 (14.7%)

Black 1004 (6.4%) 605 (6.5%)

Mixed/Other 222 (1.4%) 126 (1.3%)

Recipient Diabetes 25140 1276 (8.1%) 569 (6.0%) <0.001

Recipient HCV (Positive) 18823 80 (0.7%) 52 (0.7%) 0.721

Recipient CMV (Positive) 22424 6828 (48.6%) 4695 (56.0%) <0.001 Recipient Waiting Time (Days) 25116 718 (292 - 1299) 811 (323 - 1458) <0.001

Recipient Dialysis at Transplant 22506 <0.001

Haemodialysis 10028 (71.2%) 5435 (64.5%)

Peritoneal Dialysis 4025 (28.6%) 2973 (35.3%)

Not on Dialysis 26 (0.2%) 19 (0.2%)

Transplant Year 25140 0.050*

2000 - 2004 4014 (25.6%) 2471 (26.1%)

2005 - 2009 3906 (24.9%) 2482 (26.3%)

2010 - 2013 4139 (26.4%) 2338 (24.7%)

2014 - 2016 3631 (23.1%) 2159 (22.8%)

CIT (Mins) 24834 954 (758 - 1174) 963 (780 - 1174) 0.002

Mismatch Level 25138 <0.001*

1 2042 (13.0%) 1535 (16.2%)

2 6023 (38.4%) 3687 (39.0%)

3 6502 (41.4%) 3689 (39.0%)

4 1122 (7.2%) 538 (5.7%)

AITX 25140 <0.001*

No 15588 (99.3%) 9338 (98.8%)

HLAi 99 (0.6%) 111 (1.2%)

ABOi 3 (0.0%) 1 (0.0%)

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CRF at Transplant 25139 <0.001*

0% 11446 (73.0%) 5234 (55.4%)

1-85% 3309 (21.1%) 3023 (32.0%)

>85% 934 (6.0%) 1193 (12.6%)

Continuous factors are reported as medians and interquartile ranges, with p-values from Mann-Whitney tests.

Categorical factors are reported as N (%), with p-values from Fisher’s exact test for those with two categories, or Chi-square tests where there are more categories, unless stated otherwise. Bold p-values are significant at p<0.05. *p-Value from Mann-Whitney test, as the factor is ordinal.

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Table S2 – Multivariable analysis of DGF/PNF

Male Recipient Female Recipient

OR (95% CI) p-Value OR (95% CI) p-Value

Donor Sex (Female) 0.89 (0.80 - 0.98) 0.019 0.81 (0.71 - 0.93) 0.003

Donor Age (Years) 0.002 0.061

<40 - - - -

40-49 1.74 (1.20 - 2.53) 0.003 1.73 (1.08 - 2.78) 0.024

50-59 1.94 (1.34 - 2.80) <0.001 1.86 (1.16 - 2.99) 0.010

60+ 2.18 (1.41 - 3.37) <0.001 1.66 (0.96 - 2.87) 0.072

Donor BMI <0.001 - NS

<18.5 0.96 (0.67 - 1.38) 0.829 - -

18.5-24.9 - - - -

25.0-29.9 1.13 (1.01 - 1.26) 0.029 - -

30.0+ 1.32 (1.15 - 1.51) <0.001 - -

Donor Terminal Creatinine <0.001 <0.001

<60 - - - -

60-74 1.12 (0.98 - 1.28) 0.103 1.08 (0.90 - 1.30) 0.425

75-99 1.19 (1.04 - 1.36) 0.010 1.04 (0.86 - 1.25) 0.694

100+ 1.84 (1.60 - 2.12) <0.001 1.51 (1.24 - 1.82) <0.001

Donor Cause of Death 0.024 0.002

Intracranial haemorrhage - - - -

Hypoxic brain damage 1.05 (0.92 - 1.20) 0.440 1.02 (0.85 - 1.22) 0.827

Trauma 0.91 (0.76 - 1.08) 0.265 0.63 (0.49 - 0.80) <0.001

Other 1.24 (1.06 - 1.46) 0.009 0.92 (0.73 - 1.17) 0.499

Donor Type (DCD) 3.10 (2.76 - 3.49) <0.001 3.25 (2.75 - 3.84) <0.001 Donor History of Hypertension 1.15 (1.01 - 1.32) 0.039 1.18 (0.99 - 1.42) 0.072

Donor Risk Index 0.066 0.057

<0.95 - - - -

0.95-1.04 0.79 (0.54 - 1.14) 0.202 0.88 (0.55 - 1.42) 0.605

1.05-1.49 0.87 (0.58 - 1.30) 0.494 1.09 (0.66 - 1.80) 0.738

1.50+ 1.10 (0.67 - 1.78) 0.711 1.47 (0.80 - 2.68) 0.214

Recipient Ethnicity <0.001 0.003

White - - - -

Asian 1.05 (0.92 - 1.20) 0.448 1.03 (0.86 - 1.23) 0.764

Black 1.45 (1.23 - 1.72) <0.001 1.44 (1.16 - 1.80) 0.001

Other 0.94 (0.65 - 1.36) 0.727 0.62 (0.35 - 1.08) 0.089

Recipient Diabetes 1.16 (0.99 - 1.36) 0.068 1.39 (1.08 - 1.80) 0.012 Recipient Waiting Time

(Months) <0.001 0.023

<12 - - - -

12-23 1.12 (0.97 - 1.29) 0.112 1.17 (0.95 - 1.45) 0.136

24-47 1.32 (1.16 - 1.50) <0.001 1.31 (1.09 - 1.59) 0.004

48+ 1.46 (1.26 - 1.69) <0.001 1.33 (1.08 - 1.63) 0.007

CIT (Hours) 0.006 - NS

<12 - - - -

12-15 1.13 (0.99 - 1.29) 0.065 - -

16-19 1.23 (1.07 - 1.42) 0.004 - -

20+ 1.28 (1.10 - 1.48) 0.001 - -

Recipient Dialysis at Transplant <0.001 <0.001

Haemodialysis - - - -

Peritoneal Dialysis 0.49 (0.44 - 0.55) <0.001 0.48 (0.42 - 0.55) <0.001 Not on Dialysis 0.50 (0.16 - 1.53) 0.225 0.14 (0.02 - 1.09) 0.061

Transplant Year <0.001 <0.001

2000 - 2004 - - - -

2005 - 2009 0.80 (0.69 - 0.93) 0.004 0.61 (0.51 - 0.74) <0.001

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2010 - 2013 0.62 (0.53 - 0.73) <0.001 0.40 (0.33 - 0.49) <0.001 2014 - 2016 0.48 (0.40 - 0.56) <0.001 0.30 (0.24 - 0.38) <0.001

Mismatch Level 0.054 0.005

1 - - - -

2 1.13 (0.97 - 1.33) 0.119 1.24 (1.00 - 1.52) 0.046

3 1.02 (0.86 - 1.20) 0.856 1.45 (1.17 - 1.80) <0.001

4 1.22 (0.97 - 1.54) 0.086 1.47 (1.06 - 2.05) 0.022

AITx or ABOi 1.81 (1.13 - 2.88) 0.013 1.80 (1.11 - 2.90) 0.017

CRF at Transplant <0.001 <0.001

0 - - - -

1-85% 1.08 (0.96 - 1.21) 0.192 1.19 (1.03 - 1.37) 0.016

>85% 1.44 (1.19 - 1.74) <0.001 1.58 (1.29 - 1.94) <0.001 Results are from multivariable binary logistic regression models, with a composite outcome of DGF/PNF as the dependent variable. All factors in Table 1 with >90% data completeness were considered for inclusion in the models, with variable selection using a backwards stepwise approach. The final models were based on N=9475 (3209 outcomes) and N=5543 (1591 outcomes) for male and female recipients, respectively, after exclusions for missing data. Bold p-values are significant at p<0.05. NS=Not selected for inclusion in the final model by the stepwise procedure.

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Table S3 – Multivariable analysis of patient survival

Male Recipient Female Recipient

HR (95% CI) p-Value HR (95% CI) p-Value

Donor Sex (Female) 0.94 (0.87 - 1.03) 0.174 1.06 (0.95 - 1.19) 0.302

Donor Age (Years) <0.001 <0.001

<40 - - - -

40-49 1.20 (1.05 - 1.37) 0.008 1.03 (0.86 - 1.24) 0.765

50-59 1.30 (1.15 - 1.48) <0.001 1.30 (1.10 - 1.54) 0.002

60-69 1.52 (1.33 - 1.74) <0.001 1.35 (1.12 - 1.61) 0.001

Donor Type (DCD) - NS 1.11 (0.95 - 1.30) 0.182

Donor History of Diabetes - NS 1.15 (0.89 - 1.48) 0.288

Donor History of Hypertension 1.16 (1.05 - 1.28) 0.002 1.22 (1.07 - 1.40) 0.004

Donor HCV 2.09 (1.00 - 4.41) 0.052 7.48 (1.85 - 30.2) 0.005

Recipient Age <0.001 <0.001

<40 - - - -

40-49 2.04 (1.71 - 2.43) <0.001 1.82 (1.45 - 2.29) <0.001

50-59 3.62 (3.09 - 4.24) <0.001 3.49 (2.83 - 4.30) <0.001

60-69 7.80 (6.68 - 9.12) <0.001 6.40 (5.19 - 7.88) <0.001

Recipient Diabetes 1.81 (1.60 - 2.05) <0.001 2.16 (1.80 - 2.61) <0.001

Recipient Waiting Time (Months) 0.008 0.005

<12 - - - -

12-23 1.02 (0.91 - 1.15) 0.745 1.18 (1.00 - 1.40) 0.053

24-47 1.01 (0.90 - 1.13) 0.867 0.93 (0.79 - 1.09) 0.356

48+ 1.22 (1.07 - 1.38) 0.002 1.18 (1.00 - 1.40) 0.052

CIT (Hours) 0.201 0.089

<12 - - - -

12-15 0.94 (0.82 - 1.09) 0.416 1.15 (0.93 - 1.43) 0.203

16-19 0.99 (0.85 - 1.14) 0.863 1.05 (0.85 - 1.31) 0.636

20+ 1.06 (0.92 - 1.23) 0.415 1.24 (1.00 - 1.55) 0.055

Dialysis at Transplant <0.001 <0.001

Haemodialysis - - - -

Peritoneal Dialysis 0.80 (0.73 - 0.87) <0.001 0.76 (0.67 - 0.86) <0.001

Not on Dialysis 0.27 (0.04 - 1.96) 0.197 1.61 (0.51 - 5.06) 0.412

Transplant Year <0.001 0.001

2000 - 2004 - - - -

2005 - 2009 0.76 (0.68 - 0.85) <0.001 0.79 (0.68 - 0.92) 0.003

2010 - 2013 0.75 (0.65 - 0.86) <0.001 0.77 (0.63 - 0.94) 0.012

2014 - 2016 0.59 (0.48 - 0.73) <0.001 0.61 (0.45 - 0.81) <0.001

AITx or ABOi - NS 2.27 (1.33 - 3.87) 0.003

Results are from multivariable Cox regression models. All factors in Table 1 with >90% data completeness were considered for inclusion in the models, with variable selection using a backwards stepwise approach. The final models were based on N=11243 (2234 deaths) and N=6747 (1187 deaths) for male and female recipients, respectively, after exclusions for missing data. Bold p-values are significant at p<0.05. NS=Not selected for inclusion in the final model by the stepwise procedure.

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Table S4 – Multivariable analysis of graft survival

Male Recipient Female Recipient

HR (95% CI) p-Value HR (95% CI) p-Value

Donor Sex (Female) 1.01 (0.93 - 1.09) 0.816 1.03 (0.92 - 1.14) 0.633

Donor Age (Years) <0.001 <0.001

<40 - - - -

40-49 1.32 (1.17 - 1.48) <0.001 1.36 (1.17 - 1.58) <0.001 50-59 1.48 (1.32 - 1.66) <0.001 1.61 (1.39 - 1.87) <0.001 60-69 2.12 (1.87 - 2.40) <0.001 2.40 (2.04 - 2.81) <0.001

Donor Ethnicity 0.018 0.088

White - - - -

Asian 1.42 (1.08 - 1.86) 0.011 1.42 (1.02 - 1.98) 0.038

Black 1.40 (1.00 - 1.97) 0.049 1.42 (0.88 - 2.31) 0.153

Other 1.05 (0.70 - 1.59) 0.815 1.18 (0.73 - 1.90) 0.507

Donor Terminal

Creatinine - NS 0.040

<60 - - - -

60-74 - - 1.13 (0.97 - 1.31) 0.115

75-99 - - 1.02 (0.87 - 1.18) 0.817

100+ - - 1.20 (1.02 - 1.40) 0.026

Donor Cause of Death - NS 0.074

Intracranial

haemorrhage - - - -

Hypoxic brain

damage - - 0.79 (0.66 - 0.94) 0.009

Trauma - - 0.94 (0.79 - 1.10) 0.419

Other - - 0.95 (0.79 - 1.14) 0.581

Donor Type (DCD) - NS 1.12 (0.96 - 1.30) 0.155

Donor History of

Diabetes 1.28 (1.08 - 1.51) 0.004 1.20 (0.96 - 1.51) 0.108

Donor History of

Hypertension 1.18 (1.07 - 1.29) <0.001 1.14 (1.01 - 1.28) 0.035

Donor Smoking History 1.07 (0.99 - 1.16) 0.074 - NS

Recipient Age <0.001 <0.001

<40 - - - -

40-49 0.73 (0.66 - 0.82) <0.001 0.61 (0.54 - 0.70) <0.001 50-59 0.70 (0.62 - 0.78) <0.001 0.53 (0.46 - 0.61) <0.001 60-69 0.75 (0.67 - 0.85) <0.001 0.55 (0.47 - 0.64) <0.001

Recipient Ethnicity <0.001 - NS

White - - - -

Asian 0.98 (0.86 - 1.11) 0.718 - -

Black 1.40 (1.20 - 1.62) <0.001 - -

Other 0.97 (0.70 - 1.36) 0.879 - -

Recipient Diabetes 1.12 (0.96 - 1.29) 0.146 1.46 (1.21 - 1.77) <0.001

CIT (Hours) 0.043 0.010

<12 - - - -

12-15 1.11 (0.97 - 1.28) 0.123 1.17 (0.97 - 1.41) 0.104

16-19 1.13 (0.98 - 1.30) 0.082 1.18 (0.98 - 1.43) 0.085

20+ 1.22 (1.06 - 1.41) 0.006 1.35 (1.12 - 1.64) 0.002

Recipient Dialysis at

Transplant <0.001 0.002

Haemodialysis - - - -

Peritoneal Dialysis 0.84 (0.77 - 0.92) <0.001 0.83 (0.75 - 0.93) <0.001 Not on Dialysis 0.47 (0.12 - 1.90) 0.292 0.35 (0.05 - 2.51) 0.297

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Transplant Year <0.001 <0.001

2000 - 2004 - - - -

2005 - 2009 0.77 (0.70 - 0.85) <0.001 0.84 (0.74 - 0.95) 0.006 2010 - 2013 0.71 (0.63 - 0.80) <0.001 0.71 (0.60 - 0.83) <0.001 2014 - 2016 0.68 (0.58 - 0.80) <0.001 0.67 (0.54 - 0.83) <0.001

Mismatch Level <0.001 0.002

1 - - - -

2 1.12 (0.98 - 1.27) 0.089 1.16 (1.00 - 1.34) 0.052

3 1.28 (1.12 - 1.46) <0.001 1.20 (1.03 - 1.41) 0.019

4 1.38 (1.15 - 1.65) <0.001 1.57 (1.25 - 1.98) <0.001

AITx or ABOi 1.62 (1.08 - 2.42) 0.019 - NS

CRF at Transplant <0.001 <0.001

0% - - - -

1-85% 1.06 (0.96 - 1.17) 0.247 1.15 (1.03 - 1.29) 0.010

>85% 1.45 (1.23 - 1.70) <0.001 1.46 (1.24 - 1.71) <0.001 Results are from multivariable Cox regression models. All factors in Table 1 with >90% data completeness were considered for inclusion in the models, with variable selection using a backwards stepwise approach. The final models were based on N=13036 (2613 outcomes) and N=7498 (1621 outcomes) for male and female recipients, respectively, after exclusions for missing data. Bold p-values are significant at p<0.05. NS=Not selected for inclusion in the final model by the stepwise procedure.

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Table S5 – Multivariable analysis of one year creatinine

Male Recipient Female Recipient

Coefficient (95% CI) p-Value Coefficient (95% CI) p-Value

Donor Sex (Female) 6.3% (4.8%, 7.7%) <0.001 4.1% (2.1%, 6.1%) <0.001

Donor Age (Years) <0.001 <0.001

<40 - - - -

40-49 12.7% (10.6%, 14.8%) <0.001 15.6% (12.6%, 18.7%) <0.001 50-59 25.4% (23.1%, 27.7%) <0.001 27.2% (23.8%, 30.6%) <0.001

60+ 44.0% (41.1%, 47.0%) <0.001 45.6% (41.3%, 50.0%) <0.001

Donor Ethnicity <0.001 NS

White - - - -

Asian 9.7% (4.6%, 15.1%) <0.001 - -

Black 4.7% (-1.6%, 11.3%) 0.148 - -

Other -0.2% (-6.3%, 6.3%) 0.950 - -

Donor Terminal Creatinine <0.001 <0.001

<60 - - - -

60-74 2.7% (0.8%, 4.5%) 0.004 2.3% (-0.4%, 5.0%) 0.091

75-99 4.3% (2.4%, 6.2%) <0.001 4.7% (2.0%, 7.5%) <0.001

100+ 8.5% (6.5%, 10.7%) <0.001 9.5% (6.5%, 12.6%) <0.001

Donor Cause of Death <0.001 <0.001

Intracranial haemorrhage - - - -

Hypoxic brain damage -3.0% (-4.8%, -1.2%) 0.001 -4.5% (-7.1%, -1.9%) <0.001 Trauma -5.5% (-7.6%, -3.4%) <0.001 -4.4% (-7.4%, -1.3%) 0.005

Other 0.8% (-1.5%, 3.1%) 0.498 1.4% (-2.0%, 4.9%) 0.417

Donor Type (DCD) 8.6% (6.8%, 10.3%) <0.001 9.6% (6.9%, 12.3%) <0.001 Donor History of Diabetes 6.6% (3.7%, 9.6%) <0.001 6.7% (2.4%, 11.2%) 0.002 Donor History of Hypertension 7.2% (5.5%, 8.8%) <0.001 6.9% (4.6%, 9.4%) <0.001

Donor Smoking History - NS 1.7% (-0.1%, 3.6%) 0.062

Recipient Age (Years) <0.001 <0.001

<40 - - - -

40-49 0.2% (-1.6%, 2.1%) 0.802 -2.2% (-4.7%, 0.3%) 0.086

50-59 -3.7% (-5.4%, -1.9%) <0.001 -7.8% (-10.1%, -5.4%) <0.001 60+ -7.2% (-9.0%, -5.3%) <0.001 -11.7% (-14.1%, -9.2%) <0.001

Recipient Ethnicity <0.001 <0.001

White - - - -

Asian -10.6% (-12.3%, -8.9%) <0.001 -10.8% (-13.1%, -8.4%) <0.001

Black 11.2% (8.4%, 14.1%) <0.001 9.0% (5.2%, 12.9%) <0.001

Other -4.6% (-9.4%, 0.4%) 0.071 -3.4% (-10.3%, 4.0%) 0.355

Recipient Diabetes -3.9% (-6.1%, -1.7%) <0.001 4.6% (0.6%, 8.8%) 0.023 Recipient Waiting Time

(Months) 0.010 NS

<12 - - - -

12-23 -0.5% (-2.3%, 1.3%) 0.570 - -

24-47 0.9% (-0.8%, 2.7%) 0.290 - -

48+ 2.7% (0.8%, 4.8%) 0.006 - -

Recipient Dialysis at Transplant 0.009 0.061

Haemodialysis - - - -

Peritoneal Dialysis -2.1% (-3.5%, -0.7%) 0.003 -2.1% (-4.0%, -0.2%) 0.032 Not on Dialysis -5.9% (-17.9%, 7.9%) 0.384 -9.8% (-25.1%, 8.6%) 0.278

Transplant Year <0.001 <0.001

2000 - 2004 - - - -

2005 - 2009 -8.8% (-10.4%, -7.0%) <0.001 -11.8% (-14.1%, -9.5%) <0.001 2010 - 2013 -12.8% (-14.6%, -11.1%) <0.001 -13.5% (-15.9%, -11.1%) <0.001 2014 - 2016 -12.3% (-14.2%, -10.4%) <0.001 -13.3% (-15.9%, -10.6%) <0.001

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CIT (Hours) 0.024 0.002

<12 - - - -

12-15 0.9% (-0.9%, 2.8%) 0.345 2.6% (-0.1%, 5.5%) 0.063

16-19 2.2% (0.3%, 4.2%) 0.026 4.0% (1.1%, 7.0%) 0.007

20+ 2.9% (0.8%, 5.0%) 0.006 5.9% (2.7%, 9.1%) <0.001

CRF at Transplant <0.001 <0.001

0% - - - -

1-85% -0.1% (-1.7%, 1.4%) 0.869 1.4% (-0.6%, 3.4%) 0.180

>85% 5.8% (3.0%, 8.7%) <0.001 5.9% (3.0%, 8.9%) <0.001

Results are from multivariable general linear models, with the log10-transformed creatinine levels as the dependent variable. All factors in Table 1 with >90% data completeness were considered for inclusion in the models, with variable selection using a backwards stepwise approach. The resulting coefficients were then antilogged, and converted into percentage differences between groups. The final models were based on N=9603 and N=5616 for male and female recipients, respectively, after exclusions for missing data. Bold p- values are significant at p<0.05. NS=Not selected for inclusion in the final model by the stepwise procedure.

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Table S6 – Data completeness by recipient and donor sex

Male Recipient Female Recipient

Overall Male Donor Female Donor p-Value Male Donor Female Donor p-Value Donor Factors

Age 25140 (100.0%) 8403 (100.0%) 7287 (100.0%) 1.000 5011 (100.0%) 4439 (100.0%) 1.000

BMI 24449 (97.3%) 8176 (97.3%) 7080 (97.2%) 0.626 4869 (97.2%) 4324 (97.4%) 0.486

Ethnicity 25099 (99.8%) 8393 (99.9%) 7275 (99.8%) 0.524 5006 (99.9%) 4425 (99.7%) 0.022

Terminal Creatinine 23382 (93.0%) 7847 (93.4%) 6753 (92.7%) 0.083 4670 (93.2%) 4112 (92.6%) 0.296 Cause of Death 25140 (100.0%) 8403 (100.0%) 7287 (100.0%) 1.000 5011 (100.0%) 4439 (100.0%) 1.000 Donor Type 25140 (100.0%) 8403 (100.0%) 7287 (100.0%) 1.000 5011 (100.0%) 4439 (100.0%) 1.000 History of Diabetes 24485 (97.4%) 8156 (97.1%) 7124 (97.8%) 0.007 4866 (97.1%) 4339 (97.7%) 0.052 History of Hypertension 24238 (96.4%) 8056 (95.9%) 7051 (96.8%) 0.004 4822 (96.2%) 4309 (97.1%) 0.026 Smoking History 24414 (97.1%) 8132 (96.8%) 7087 (97.3%) 0.083 4852 (96.8%) 4343 (97.8%) 0.003

HCV 25053 (99.7%) 8370 (99.6%) 7263 (99.7%) 0.594 5000 (99.8%) 4420 (99.6%) 0.098

CMV 24833 (98.8%) 8291 (98.7%) 7209 (98.9%) 0.144 4940 (98.6%) 4393 (99.0%) 0.113

Donor Risk Index 23371 (93.0%) 7755 (92.3%) 6890 (94.6%) <0.001 4582 (91.4%) 4144 (93.4%) <0.001 Recipient Factors

Age 25139 (100.0%) 8403 (100.0%) 7286 (100.0%) 0.464 5011 (100.0%) 4439 (100.0%) 1.000

Ethnicity 24934 (99.2%) 8340 (99.3%) 7226 (99.2%) 0.588 4966 (99.1%) 4402 (99.2%) 0.824

BMI 14402 (57.3%) 4876 (58.0%) 4135 (56.7%) 0.106 2836 (56.6%) 2555 (57.6%) 0.349

History of Diabetes 25140 (100.0%) 8403 (100.0%) 7287 (100.0%) 1.000 5011 (100.0%) 4439 (100.0%) 1.000

HCV 18823 (74.9%) 6333 (75.4%) 5403 (74.1%) 0.080 3776 (75.4%) 3311 (74.6%) 0.392

CMV 22424 (89.2%) 7544 (89.8%) 6499 (89.2%) 0.230 4441 (88.6%) 3940 (88.8%) 0.845

Waiting Time 25116 (99.9%) 8396 (99.9%) 7282 (99.9%) 0.781 5005 (99.9%) 4433 (99.9%) 1.000 Dialysis at Transplant 22506 (89.5%) 7553 (89.9%) 6526 (89.6%) 0.510 4471 (89.2%) 3956 (89.1%) 0.894 Transplant Year 25140 (100.0%) 8403 (100.0%) 7287 (100.0%) 1.000 5011 (100.0%) 4439 (100.0%) 1.000 Mismatch Level 25138 (100.0%) 8403 (100.0%) 7286 (100.0%) 0.494 5010 (100.0%) 4439 (100.0%) 1.000

AITx 25140 (100.0%) 8403 (100.0%) 7287 (100.0%) 1.000 5011 (100.0%) 4439 (100.0%) 1.000

CIT 24834 (98.8%) 8308 (98.9%) 7207 (98.9%) 0.878 4944 (98.7%) 4375 (98.6%) 0.725

CRF at Transplant 25139 (100.0%) 8403 (100.0%) 7286 (100.0%) 0.464 5011 (100.0%) 4439 (100.0%) 1.000 Outcomes

Initial Graft Dysfunction 20777 (82.6%) 6992 (83.2%) 5992 (82.2%) 0.107 4132 (82.5%) 3661 (82.5%) 1.000 Rejection at 3 Months 21380 (85.0%) 7110 (84.6%) 6240 (85.6%) 0.076 4255 (84.9%) 3775 (85.0%) 0.863 Rejection at 12 Months 18150 (72.2%) 6029 (71.7%) 5285 (72.5%) 0.284 3639 (72.6%) 3197 (72.0%) 0.519 Creatinine at 1 Year 21194 (84.3%) 7073 (84.2%) 6187 (84.9%) 0.207 4207 (84.0%) 3727 (84.0%) 1.000 Creatinine at 3 Years 16613 (66.1%) 5475 (65.2%) 4848 (66.5%) 0.071 3321 (66.3%) 2969 (66.9%) 0.541 Creatinine at 5 Years 13001 (51.7%) 4252 (50.6%) 3811 (52.3%) 0.035 2620 (52.3%) 2318 (52.2%) 0.951

p-Values are from Fisher’s exact tests, comparing the rates of data completeness between male and female donors, and bold values are significant at p<0.05.

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Table S7 – Effect of donor/recipient mismatch by donor sex for paired donor organs

Male Donor Female Donor Interaction

Statistic Statistic (95% CI) p-Value Statistic (95% CI) p-Value p-Value

Initial Graft Dysfunction* Odds Ratio 0.88 (0.78 – 1.00) 0.057 0.86 (0.75 – 1.00) 0.051 0.815 Patient Survival Hazard Ratio 0.79 (0.67 – 0.93) 0.005 0.86 (0.72 – 1.02) 0.086 0.504 Graft Survival Hazard Ratio 1.04 (0.91 – 1.18) 0.589 1.03 (0.89 – 1.19) 0.659 0.996 One Year Creatinine % Difference -16.3% (-18.1%, -14.5%) <0.001 -17.8% (-19.6%, -15.9%) <0.001 0.275

Results are from univariable binary logistic regression (DGF/PNF), Cox regression (survival) or general linear (creatinine) models, as applicable. Only those donors where organs were transplanted into one male and one female recipient were included. In each case, statistics are reported for female recipients, compared to male recipients. Models were initially produced separately for male and female donors to generate the reported statistics. In order to compare the resulting effects, models were then produced with donor sex, recipient sex and an interaction term as factors. In the resulting models, the interaction term compared the effect of recipient sex between the donor sex groups, hence analysed the effect of donor/recipient sex mismatch. Bold p- values are significant at p<0.05.*Composite outcome of DGF or PNF

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Modified STROBE Statement—checklist of items that should be included in reports of observational studies (Cohort/Cross-sectional and case-control studies)

Item No Recommendation

Title and abstract 1 (a) Indicate the study’s design with a commonly used term in the title or the abstract PAGE 1-3

(b) Provide in the abstract an informative and balanced summary of what was done and what was found PAGE 3-4

Introduction

Background/rationale 2 Explain the scientific background and rationale for the investigation being reported PAGES 5-6

Objectives 3 State specific objectives, including any prespecified hypotheses PAGE 6

Methods

Study design 4 Present key elements of study design early in the paper PAGES 6-8 Setting 5 Describe the setting, locations, and relevant dates, including periods of

recruitment, exposure, follow-up, and data collection PAGE 6 Participants 6 (a) Cohort study—Give the eligibility criteria, and the sources and

methods of selection of participants. Describe methods of follow-up PAGE 6

Case-control study—Give the eligibility criteria, and the sources and methods of case ascertainment and control selection. Give the rationale for the choice of cases and controls

Cross-sectional study—Give the eligibility criteria, and the sources and methods of selection of participants

Variables 7 Clearly define all outcomes, exposures, predictors, potential

confounders, and effect modifiers. Give diagnostic criteria, if applicable PAGES 7-8

Data sources/

measurement

8* For each variable of interest, give sources of data and details of methods of assessment (measurement). PAGES 7-9

Bias 9 Describe any efforts to address potential sources of bias N/A Study size 10 Explain how the study size was arrived at (if applicable) N/A Quantitative

variables

11 Explain how quantitative variables were handled in the analyses. If applicable, describe which groupings were chosen and why PAGES 8-9 Statistical methods 12 (a) Describe all statistical methods, including those used to control for

confounding PAGES 8-9

(b) Describe any methods used to examine subgroups and interactions PAGES 8-9

(c) Explain how missing data were addressed PAGES 8-9

(d) Cohort study—If applicable, explain how loss to follow-up was addressed N/A

Case-control study—If applicable, explain how matching of cases and controls was addressed

Cross-sectional study—If applicable, describe analytical methods taking account of sampling strategy

(e) Describe any sensitivity analyses N/A Results

Participants 13*

(a) Report numbers of individuals at each stage of study—eg numbers potentially eligible, examined for eligibility, confirmed eligible, included in the study, completing follow-up, and analyzed PAGE 6 (c) Use of a flow diagram N/A

Descriptive data 14*

(a) Give characteristics of study participants (eg demographic, clinical, social) and information on exposures and potential confounders PAGE 6 AND SUPPL TABLE 1

(b) Indicate number of participants with missing data for each variable of interest TABLES 1-3

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(c) Cohort study—Summarise follow-up time (eg, average and total amount) PAGE 7, FIGURES 1-2

Outcome data 15*

Cohort study—Report numbers of outcome events or summary measures over time PAGES 11-12, TABLES 2-3

Case-control study—Report numbers in each exposure category, or summary measures of exposure

Cross-sectional study—Report numbers of outcome events or summary measures

Main results 16

(a) Give unadjusted estimates and, if applicable, confounder-adjusted estimates and their precision (eg, 95% confidence interval). Make clear which confounders were adjusted for and why they were included PAGES 9-11, TABLES 1-3 (AND SUPPL TABLES 1-6) Other analyses

17

Report other analyses done—eg analyses of subgroups and interactions, and sensitivity analyses

Discussion

Key results 18

Summarise key results with reference to study objectives PAGES 13 Limitations

19

Discuss limitations of the study, taking into account sources of potential bias or imprecision. Discuss both direction and magnitude of any potential bias PAGE 16

Interpretation 20

Give a cautious overall interpretation of results considering objectives, limitations, multiplicity of analyses, results from similar studies, and other relevant evidence PAGES 13-16

Generalisability 21 Discuss the generalisability (external validity) of the study results PAGES 14-15

*Give information separately for cases and controls in case-control studies and, if applicable, for exposed and unexposed groups in cohort and cross-sectional studies.

Note: An Explanation and Elaboration article discusses each checklist item and gives methodological

background and published examples of transparent reporting. The STROBE checklist is best used in conjunction with this article (freely available on the Web sites of PLoS Medicine at http://www.plosmedicine.org/, Annals of Internal Medicine at http://www.annals.org/, and Epidemiology at http://www.epidem.com/). Information on the STROBE Initiative is available at www.strobe-statement.org.

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If applicable, describe which groupings were chosen and why Statistical methods 12 a Describe all statistical methods, including those used to control for confounding b Describe any

If applicable, describe which groupings were chosen and why Statistical Methods 12 a Describe all statistical methods, including those used to control for confounding b Describe any

If applicable, describe which groupings were chosen and why Statistical Methods 12 a Describe all statistical methods, including those used to control for confounding b Describe any

If applicable, describe which groupings were chosen and why 4 Statistical methods 12 a Describe all statistical methods, including those used to control for confounding 4 b Describe

If applicable, describe which groupings were chosen and why 12 Statistical methods 12 a Describe all statistical methods, including those used to control for confounding 12 b

If applicable, describe which groupings were chosen and why Statistical methods 12 a Describe all statistical methods, including those used to control for confounding b Describe any

If applicable, describe which groupings were chosen and why 6 Statistical methods 12 a Describe all statistical methods, including those used to control for confounding 6 b Describe

If applicable, describe which groupings were chosen and why 5 Statistical methods 12 a Describe all statistical methods, including those used to control for confounding 5 b Describe