Anneke Kramer1, Maria Pippias1, Marlies Noordzij1, Vianda S Stel1, Anton M Andrusev2, Manuel I Aparicio-Madre3, Federico E Arribas Monzón4, Anders Åsberg5, Myftar Barbullushi6, Palma Beltrán7, Marjolein Bonthuis1,8, Fergus J Caskey9,10, Pablo Castro de la Nuez11, Harijs Cernevskis12, Johan De Meester13, Patrik Finne14,15, Eliezer Golan16, James G Heaf17, Marc H Hemmelder18, Kyriakos Ioannou19,20, Nino Kantaria21, Kirill Komissarov22, Grzegorz Korejwo23, Reinhard Kramar24, Mathilde Lassalle25, František Lopot26, Fernando Macário27, Bruce Mackinnon28, Runólfur Pálsson29,30, Ülle Pechter31, Vicente C Piñera32, Carmen Santiuste de Pablos33, Alfons Segarra-Medrano34, Nurhan Seyahi35, Maria F Slon Roblero36, Olivera Stojceva-Taneva37, Evgueniy Vazelov38, Rebecca Winzeler39, Edita Ziginskiene40,41, Ziad Massy42,43, Kitty J Jager1. 1. ERA-EDTA Registry, Department of Medical Informatics, Amsterdam UMC, University of Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands. 2. State-financed health institution, City Clinical Hospital #52 of Moscow City Health Department, Moscow, Russia. 3. Oficina Regional de Coordinación de Trasplantes de la Comunidad de Madrid, Madrid, Spain. 4. Departamento de Sanidad de Aragón, Dirección General de Asistencia Sanitaria, Zaragoza, Spain. 5. Department of Transplantation Medicine, Oslo University Hospital-Rikshospitalet, Oslo, Norway. 6. Service of Nephrology, UHC "Mother Teresa", Tirana, Albania. 7. Public Health Directorate, Oviedo, Asturias, Spain. 8. ESPN/ERA-EDTA Registry, Department of Medical Informatics, Amsterdam UMC, University of Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands. 9. UK Renal Registry, Southmead Hospital, Bristol, UK. 10. Population Health Sciences, University of Bristol, Bristol, UK. 11. Information System of the Autonomic Transplant Coordination of Andalucia (SICATA), Seville, Andalucia, Spain. 12. Department of Internal Medicine, Riga Stradins University, Riga, Latvia. 13. Department of Nephrology, Dialysis and Hypertension, Dutch-speaking Belgian Renal Registry (NBVN), Sint-Niklaas, Belgium. 14. Finnish Registry for Kidney Diseases, Helsinki, Finland. 15. Nephrology, Abdominal Center, University of Helsinki, Helsinki University Hospital, Helsinki, Finland. 16. Israel Renal Registry-ISNH, Hemodialysis Unit, Meir Medical Center, Kfar-Saba, Israel. 17. Department of Medicine, Zealand University Hospital, Roskilde, Denmark. 18. Dutch Renal Registry Renine, Nefrovisie Foundation, Utrecht, The Netherlands. 19. Nephrology Department, Apollonion Private Hospital, Nicosia, Cyprus. 20. Nephrology Department, American Medical Center, Nicosia, Cyprus. 21. Georgian Renal Registry, Dialysis, Nephrology, and Transplantation Union of Georgia, Tbilisi State Medical University, Tbilisi, Georgia. 22. Belarusian Medical Academy of Postgraduate Education, Minsk, Belarus. 23. Department of Nephrology, Gdańsk Medical University, Gdansk, Poland. 24. Austrian Dialysis and Transplant Registry, Rohr, Austria. 25. REIN Registry, Agence de la biomédecine, Saint-Denis La Plaine, France. 26. Department of Medicine Prague, General University Hospital, Prague-Strahov, Czech Republic. 27. Nephrology Department, Centro Hospitalar e Universitario de Coimbra, Coimbra, Portugal. 28. Scottish Renal Registry, Glasgow Renal & Transplant Unit, Queen Elizabeth University Hospital, Glasgow, UK. 29. Division of Nephrology, Landspitali - The National University Hospital of Iceland, Reykjavik, Iceland. 30. Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland. 31. Department of Internal Medicine, Tartu University, Tartu, Estonia. 32. Servicio de Nefrología, Hospital Universitario Valdecilla, Santander, Spain. 33. Registro de Enfermos Renales de la Región de Murcia, Servicio de Epidemiología, Consejería de Sanidad, IMIB-Arrixaca, Murcia, Spain. 34. Catalan Renal Registry Committee, Hospital Arnau de Vilanova, Lleida, Spain. 35. Department of Nephrology, Cerrahpasa Medical Faculty, Istanbul University, Cerrahpaşa, Istanbul, Turkey. 36. Complejo Hospitalario de Navarra, Pamplona, Navarra, Spain. 37. Medical Faculty of Skopje, University Clinic of Nephrology, Skopje, Macedonia. 38. Dialysis Clinic, "Alexandrovska" University Hospital, Sofia Medical University, Sofia, Bulgaria. 39. Institute of Nephrology, Stadtspital Waid Zurich, Zurich, Switzerland. 40. Lithuanian Nephrology, Dialysis and Transplantation Association, Kaunas, Lithuania. 41. Nephrology Department, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania. 42. Division of Nephrology, Ambroise Paré University Hospital, Boulogne-Billancourt, France. 43. Institut National de la Santé et de la Recherche Médicale (INSERM) Unit 1018 team5, Research Centre in Epidemiology and Population Health (CESP), University of Paris Ouest-Versailles-St Quentin-en-Yveline, Villejuif, France.
Abstract
BACKGROUND: This article summarizes the ERA-EDTA Registry's 2016 Annual Report, by describing the epidemiology of renal replacement therapy (RRT) for end-stage renal disease (ESRD) in 2016 within 36 countries. METHODS: In 2017 and 2018, the ERA-EDTA Registry received data on patients undergoing RRT for ESRD in 2016 from 52 national or regional renal registries. In all, 32 registries provided individual patient data and 20 provided aggregated data. The incidence and prevalence of RRT and the survival probabilities of these patients were determined. RESULTS: In 2016, the incidence of RRT for ESRD was 121 per million population (pmp), ranging from 29 pmp in Ukraine to 251 pmp in Greece. Almost two-thirds of patients were men, over half were aged ≥65 years and almost a quarter had diabetes mellitus as their primary renal diagnosis. Treatment modality at the start of RRT was haemodialysis for 84% of patients. On 31 December 2016, the prevalence of RRT was 823 pmp, ranging from 188 pmp in Ukraine to 1906 pmp in Portugal. In 2016, the transplant rate was 32 pmp, varying from 3 pmp in Ukraine to 94 pmp in the Spanish region of Catalonia. For patients commencing RRT during 2007-11, the 5-year unadjusted patient survival probability on all RRT modalities combined was 50.5%. For 2016, the incidence and prevalence of RRT were higher among men (187 and 1381 pmp) than women (101 and 827 pmp), and men had a higher rate of kidney transplantation (59 pmp) compared with women (33 pmp). For patients starting dialysis and for patients receiving a kidney transplant during 2007-11, the adjusted patient survival probabilities appeared to be higher for women than for men.
BACKGROUND: This article summarizes the ERA-EDTA Registry's 2016 Annual Report, by describing the epidemiology of renal replacement therapy (RRT) for end-stage renal disease (ESRD) in 2016 within 36 countries. METHODS: In 2017 and 2018, the ERA-EDTA Registry received data on patients undergoing RRT for ESRD in 2016 from 52 national or regional renal registries. In all, 32 registries provided individual patient data and 20 provided aggregated data. The incidence and prevalence of RRT and the survival probabilities of these patients were determined. RESULTS: In 2016, the incidence of RRT for ESRD was 121 per million population (pmp), ranging from 29 pmp in Ukraine to 251 pmp in Greece. Almost two-thirds of patients were men, over half were aged ≥65 years and almost a quarter had diabetes mellitus as their primary renal diagnosis. Treatment modality at the start of RRT was haemodialysis for 84% of patients. On 31 December 2016, the prevalence of RRT was 823 pmp, ranging from 188 pmp in Ukraine to 1906 pmp in Portugal. In 2016, the transplant rate was 32 pmp, varying from 3 pmp in Ukraine to 94 pmp in the Spanish region of Catalonia. For patients commencing RRT during 2007-11, the 5-year unadjusted patient survival probability on all RRT modalities combined was 50.5%. For 2016, the incidence and prevalence of RRT were higher among men (187 and 1381 pmp) than women (101 and 827 pmp), and men had a higher rate of kidney transplantation (59 pmp) compared with women (33 pmp). For patients starting dialysis and for patients receiving a kidney transplant during 2007-11, the adjusted patient survival probabilities appeared to be higher for women than for men.
The European Renal Association – European Dialysis and Transplant Association (ERA-EDTA) Registry’s Annual Report describes the epidemiology of renal replacement therapy (RRT) for end-stage renal disease (ESRD) within Europe and countries bordering the Mediterranean Sea, based on the data collected via national and regional renal registries [1]. The summary of the ERA-EDTA Registry Annual Report, which is published on an annual basis, is intended to provide an overview of the current status of RRT for ESRD in Europe [2-4]. In 2017 and 2018, data for the year 2016 were received from 52 national or regional renal registries in 36 countries covering a general population of 686.9 million people. When leaving out Israel and Tunisia, the remaining countries cover a general population of 677.3 million people, representing 80.5% of the 2016 European general population, which was similar to 2015 (80.3%). A total of 32 national or regional renal registries from 17 countries provided individual patient data, whereas 20 countries or regions provided aggregated data (see Appendix A1). Compared to the 2015 ERA-EDTA Registry Annual Report, there were no differences in country participation.This summary presents the 2016 incidence and prevalence of RRT, kidney transplantation activity, and the patient and graft survival. A description of the methods used to analyse the data, along with the full results, can be found in the ERA-EDTA Registry 2016 Annual Report [1].On the occasion of the 2018 global focus on kidneys and women’s health, this year’s annual report contains additional analyses on sex comparisons, a summary of which is also presented in this article.
RESULTS
Incidence of RRT
In 2016, 83 311 individuals commenced RRT for ESRD, which equated to an overall unadjusted incidence of 121 per million population (pmp; Table 1). The unadjusted incidence was highest in Greece (251 pmp), Czech Republic (243 pmp) and Portugal (236 pmp), whereas it was lowest in Ukraine (29 pmp) and Russia (59 pmp; Table 1 and Figures 1 and 2). Of the patients commencing RRT, 62% were men, 52% were aged ≥65 years and 23% had diabetes mellitus (DM) as their primary renal diagnosis (Figure 3). The median age of the patients commencing RRT in all countries and regions combined was 65.8 years, ranging from 51.0 years in Ukraine to 73.8 years in the Dutch-speaking part of Belgium (Table 1). The majority of patients started RRT with haemodialysis (HD; 84%), while 12% of patients started with peritoneal dialysis (PD) and 4% received a pre-emptive kidney transplant (Figure 4). However, the initial treatment modality varied considerably between age groups, as the proportion of patients receiving either PD or a pre-emptive transplant decreased with increasing age. Furthermore, patients with a primary renal diagnosis of DM were less likely to receive a pre-emptive kidney transplant compared with non-diabetic patients (2% versus 6%). Of the incident patients receiving RRT at Day 91 after the start of treatment, the majority (82%) were receiving HD, 13% were receiving PD and 5% were living with a kidney transplant (Figure 5). In the first 90 days of treatment, the percentage of patients receiving HD decreased, and this was particularly evident in the younger age groups.
Table 1.
Incidence of RRT in 2016 at Day 1, by country/region, for all primary renal diseases combined and DM types 1 and 2, as count (n) and unadjusted rate pmp, and the mean and median age at the start of RRT
Country/region
General population covered by the registry in thousands
Incidence of RRT in 2016, at Day 1
All (n)
All (pmp)
Mean age (years)
Median age (years)
DM (n)
DM (pmp)
Albania
2860
252
88
52.6
52.2
50
17
Austria
8700
1155
133
64.4
67.3
305
35
Belarus
8172
504
62
53.0
54.0
92
11
Belgium, Dutch-speakinga
6509
1214
187
71.0
73.8
256
39
Belgium, French-speakinga
4822
906
188
67.3
69.3
202
42
Bosnia and Herzegovina
3531
397
112
62.2
63.9
131
37
Bulgaria
7102
1109
156
309
44
Croatia
3755
675
180
64.9
66.0
181
48
Cyprus
857
165
193
66.7
69.0
47
55
Czech Republicb
10 262
2496
243
Denmark
5784
740
128
63.3
67.4
192
33
Estonia
1316
112
85
59.7
61.6
19
14
Finland
5495
560
102
60.9
63.8
189
34
France
66 860
11 033
165
67.9
70.6
2566
38
Georgia
3720
754
203
60.4
61.9
187
50
Greece
10 776
2702
251
70.8
73.6
710
66
Iceland
335
30
89
61.7
65.1
5
15
Israel
8545
1612
189
65.1
68.0
805
94
Italy (6 of 20 regions)
20 921
3023
144
68.8
71.8
522
25
Latvia
1560
171
110
60.3
63.0
26
17
Lithuania
2888
310
107
61.8
62.5
52
18
Macedonia
2022
332
164
63.7
65.0
84
42
Norway
5235
556
106
63.1
66.5
88
17
Polandb
38 362
5716
149
2098
55
Portugal
10 358
2446
236
757
73
Romania
19 505
3454
177
62.4
64.5
356
18
Russiab
143 869
8521
59
54.3
57.0
1491
10
Serbiac
7058
618
88
62.0
64.6
139
20
Slovakiab
5435
835
154
64.6
66.0
316
58
Spain (All regions)
46 558
6600
142
63.0
67.5
1610
35
Spain, Andalusia
8406
1133
135
63.5
66.0
294
35
Spain, Aragon
1317
165
125
63.5
67.3
39
30
Spain, Asturias
1041
188
181
64.8
66.6
41
39
Spain, Basque country
2166
284
131
63.4
65.4
57
26
Spain, Cantabriaa
582
59
101
63.1
67.7
12
21
Spain, Castile and Leóna
2445
308
126
68.1
71.3
85
35
Spain, Castile-La Manchaa
2045
287
140
66.1
69.1
67
33
Spain, Catalonia
7523
1260
167
65.9
68.7
261
35
Spain, Extremadura
1088
120
110
65.6
66.6
34
31
Spain, Galicia
2715
399
147
66.0
68.7
102
38
Spain, Community of Madrid
6467
870
135
64.9
67.7
227
35
Spain, Region of Murcia
1465
202
138
63.3
65.3
47
32
Spain, Navarrea
639
82
128
64.7
67.2
21
33
Spain, Valencian region
4960
858
173
65.8
68.9
178
36
Sweden
9923
1204
121
64.0
67.9
324
33
Switzerland
8373
844
101
63.8
66.6
181
22
The Netherlands
16 349
1906
117
64.2
67.4
368
23
Tunisia, Sfax regionb
1213
193
159
60.5
63.0
62
51
Turkeyd
79 815
11 169
140
787
10
UK, Englanda,e
55 268
6454
117
62.3
64.4
1618
29
UK, Northern Irelanda
1862
225
121
62.8
66.4
55
30
UK, Scotland
5405
571
106
59.2
61.6
171
32
UK, Walesa
3113
370
119
64.9
66.5
92
30
Ukraine
42 590
1246
29
49.7
51.0
303
7
All countries
687 084
83 311
121
63.1
65.8
17 757
29
When cells are left empty, the data are unavailable and could not be used for the calculation of the summary data.
Patients <20 years of age are not reported. The true incidence counts are, therefore, slightly higher than the counts reported here.
Data on incidence include dialysis patients only.
The incidence is underestimated by ∼29% due to centres not submitting complete data for 2016.
Data on incidence of primary renal disease (DM) is based on 2078 dialysis patients (18.6% of total).
The incidence is underestimated by ∼2% due to a small number of centres not submitting complete data for 2016.
DM, diabetes mellitus as primary renal disease.
FIGURE 1
Incidence of RRT pmp in 2016, at Day 1, by country/region, unadjusted. The incidence for Czech Republic, Poland, Russia, Slovakia and Tunisia (Sfax region) only includes patients receiving dialysis. For Serbia and England (UK), the incidence is underestimated by, respectively, ∼26% and ∼2% (see Table 1).
FIGURE 2
Unadjusted (left panel) and adjusted (right panel) incidence of RRT pmp in 2016, at Day 1, by country/region. Registries providing individual patient data are shown as dark bars, and registries providing aggregated data as light bars. Adjustment of incidence was performed by standardizing the rates to the age and gender distribution of the EU27 population [5]. The incidence for Czech Republic, Poland, Russia, Slovakia and Tunisia (Sfax region) only includes patients receiving dialysis. For Serbia and England (UK), the incidence is underestimated by, respectively, ∼26% and ∼2% (see Table 1).
FIGURE 3
(A) Sex, (B) age and (C) primary renal disease distribution by type of data provided for incident patients accepted for RRT in 2016, at Day 1. See Appendix A1 for a list of countries and regions supplying individual patient data or aggregated data.
FIGURE 4
Treatment modality distribution, at Day 1, by (A) type of data provided (B) age and (C) primary renal diagnosis (DM and non-DM) for incident patients accepted for RRT in 2016. Parts (B) and (C) are only based on the data from registries providing individual patient data. See Appendix A1 for a list of countries and regions supplying individual patient data or aggregated data. Tx, kidney transplant.
FIGURE 5
Treatment modality distribution, at Day 91, by (A) type of data provided, (B) age and (C) primary renal diagnosis (DM and non-DM) for incident patients accepted for RRT in 2016. Parts (B) and (C) are only based on the data from registries providing individual patient data. See Appendix A1 for a list of countries and regions supplying individual patient data or aggregated data. Tx, kidney transplant.
Incidence of RRT pmp in 2016, at Day 1, by country/region, unadjusted. The incidence for Czech Republic, Poland, Russia, Slovakia and Tunisia (Sfax region) only includes patients receiving dialysis. For Serbia and England (UK), the incidence is underestimated by, respectively, ∼26% and ∼2% (see Table 1).Unadjusted (left panel) and adjusted (right panel) incidence of RRT pmp in 2016, at Day 1, by country/region. Registries providing individual patient data are shown as dark bars, and registries providing aggregated data as light bars. Adjustment of incidence was performed by standardizing the rates to the age and gender distribution of the EU27 population [5]. The incidence for Czech Republic, Poland, Russia, Slovakia and Tunisia (Sfax region) only includes patients receiving dialysis. For Serbia and England (UK), the incidence is underestimated by, respectively, ∼26% and ∼2% (see Table 1).(A) Sex, (B) age and (C) primary renal disease distribution by type of data provided for incident patients accepted for RRT in 2016, at Day 1. See Appendix A1 for a list of countries and regions supplying individual patient data or aggregated data.Treatment modality distribution, at Day 1, by (A) type of data provided (B) age and (C) primary renal diagnosis (DM and non-DM) for incident patients accepted for RRT in 2016. Parts (B) and (C) are only based on the data from registries providing individual patient data. See Appendix A1 for a list of countries and regions supplying individual patient data or aggregated data. Tx, kidney transplant.Treatment modality distribution, at Day 91, by (A) type of data provided, (B) age and (C) primary renal diagnosis (DM and non-DM) for incident patients accepted for RRT in 2016. Parts (B) and (C) are only based on the data from registries providing individual patient data. See Appendix A1 for a list of countries and regions supplying individual patient data or aggregated data. Tx, kidney transplant.Incidence of RRT in 2016 at Day 1, by country/region, for all primary renal diseases combined and DM types 1 and 2, as count (n) and unadjusted rate pmp, and the mean and median age at the start of RRTWhen cells are left empty, the data are unavailable and could not be used for the calculation of the summary data.Patients <20 years of age are not reported. The true incidence counts are, therefore, slightly higher than the counts reported here.Data on incidence include dialysis patients only.The incidence is underestimated by ∼29% due to centres not submitting complete data for 2016.Data on incidence of primary renal disease (DM) is based on 2078 dialysis patients (18.6% of total).The incidence is underestimated by ∼2% due to a small number of centres not submitting complete data for 2016.DM, diabetes mellitus as primary renal disease.
Prevalence of RRT
On 31 December 2016, 564 638 individuals were receiving RRT for ESRD (Table 2), corresponding to an overall unadjusted prevalence of 823 pmp. Again, there was considerable variation between countries, with the highest unadjusted prevalence seen in Portugal (1906 pmp) and the Spanish regions of Catalonia (1399 pmp) and Valencia (1388 pmp; Table 2 and Figures 6 and 7). The unadjusted prevalence of RRT was considerably lower in Ukraine (188 pmp) and Belarus (289 pmp). The top five countries with the highest prevalence of RRT have remained the same since 2014. Of the prevalent patients, 60% were men, 42% were aged ≥65 years and 17% had DM as their primary renal diagnosis (Figure 8). The median age of prevalent patients receiving RRT in all countries and regions combined was 62.4 years, ranging from 50.7 years in Albania to 68.0 years in Israel (Table 2). The majority of prevalent patients (58%) were receiving HD, 37% of patients were living with a kidney transplant and only 5% were receiving PD (Figure 9). Once again the modality of RRT varied considerably between age groups as the proportion of patients with a kidney transplant decreased with increasing age. For those aged 20–44 years, 66% were living with a kidney transplant, whereas this was only 42% for patients aged 65–74 years. Prevalent patients with a primary renal diagnosis of DM were much less likely to be living with a kidney transplant compared with the patients without DM (28% versus 50%).
Table 2.
Prevalence of RRT on 31 December 2016, by country/region, for all primary renal diseases combined and DM types 1 and 2, as count (n) and unadjusted rate pmp, and the mean and median age on 31 December 2016
Country/region
General population covered by the registry in thousands
Prevalent patients on RRT in 2016
All (n)
All (pmp)
Mean age (years)
Median age (years)
DM (n)
DM (pmp)
Albania
2860
1450
507
49.6
50.7
230
80
Austria
8700
9397
1080
61.2
62.7
1848
212
Belarus
8172
2360
289
51.6
53.0
295
36
Belgium, Dutch-speakinga
6509
8257
1269
66.1
67.9
1426
219
Belgium, French-speakinga
4822
6317
1310
64.9
66.5
1109
230
Bosnia and Herzegovina
3531
2679
759
59.7
61.7
548
155
Bulgaria
7102
4333
610
Croatia
3755
3908
1041
65.7
67.0
710
189
Cyprus
857
Czech Republic
10 262
11 265
1098
Denmark
5784
5433
939
58.8
60.4
929
161
Estonia
1316
919
698
57.9
58.6
168
128
Finland
5495
4861
885
59.2
61.5
1231
224
France
66 860
85 471
1278
62.8
64.6
13 833
207
Georgia
3720
2652
713
60.1
61.2
539
145
Greece
10 776
13 841
1284
64.6
66.8
2637
245
Iceland
335
224
668
54.9
56.3
26
78
Israelb
8545
6566
768
66.0
68.0
3035
355
Italy (6 of 20 regions)
20 921
24 035
1149
62.0
64.1
2654
127
Latvia
1560
1038
665
56.3
57.0
98
63
Lithuania
2888
2193
759
Macedonia
2022
1665
823
58.6
60.0
273
135
Norway
5235
4974
950
59.4
61.5
654
125
Poland
38 362
31 144
812
6132
160
Portugal
10 358
19 738
1906
66.9
67.9
3435
332
Romaniac
19 505
20 445
1048
61.2
63.0
2051
105
Russia
1 43 869
44 544
310
55.5
57.0
5340
37
Serbiad
7058
3833
543
59.5
62.0
640
91
Slovakiab
5435
3370
620
63.8
66.0
1140
210
Spain (All regions)
46 558
57 433
1234
60.0
63.2
9031
194
Spain, Andalusia
8406
10 019
1192
60.5
61.9
1548
184
Spain, Aragon
1317
1588
1205
62.9
64.0
274
208
Spain, Asturias
1041
1325
1273
63.0
63.5
215
207
Spain, Basque country
2166
2704
1249
62.0
63.8
304
140
Spain, Cantabriaa
582
686
1179
62.6
64.0
91
156
Spain, Castile and Leóna
2445
2858
1169
64.8
65.8
505
207
Spain, Castile-La Manchaa
2045
2357
1153
62.5
63.3
373
182
Spain, Catalonia
7523
10 523
1399
63.0
64.8
1499
199
Spain, Community of Madrid
6467
7450
1152
61.9
63.2
1323
205
Spain, Extremadura
1088
1263
1161
62.0
62.3
191
176
Spain, Galicia
2715
3619
1333
62.5
64.0
598
220
Spain, Navarrea
639
837
1310
62.5
64.0
128
200
Spain, Region of Murcia
1465
1949
1331
62.1
63.3
274
187
Spain, Valencian region
4960
6883
1388
63.3
65.2
933
188
Sweden
9923
9718
979
59.9
62.0
1742
176
Switzerlande
8373
7503
896
62.1
63.9
1159
138
The Netherlands
16 349
17 117
1047
60.5
62.4
2229
136
Tunisia, Sfax regionb
1213
946
780
58.2
59.0
200
165
Turkeyf
79 815
74 475
933
2719
34
UK, Englanda,g
55 268
52 641
952
58.8
59.2
8884
161
UK, Northern Irelanda
1862
1784
958
58.7
58.4
280
150
UK, Scotland
5405
5028
930
56.8
57.7
826
153
UK, Walesa
3113
3062
984
59.5
60.3
503
162
Ukraine
42 590
8019
188
49.5
51.0
1280
30
All countries
687 084
564 638
823
60.6
62.4
79 834
134
When cells are left empty, the data are unavailable and could not be used for the calculation of the summary data.
Patients <20 years of age are not reported. The true prevalent counts are therefore slightly higher than the counts reported here.
Data on prevalence include dialysis patients only.
The prevalence is underestimated by ∼3% due to an estimated 30% under-reporting of patients living with a functioning graft.
The prevalence is underestimated by ∼29% due to centres not submitting complete data for 2016.
The prevalence is underestimated by ∼6% due to an estimated 11% under-reporting of patients living with a functioning graft.
Data on the prevalence of primary renal disease (DM) is based on 8043 dialysis patients (10.8% of total)
The prevalence is underestimated by ∼1% due to a small number of centres not submitting complete data for 2016.
DM, diabetes mellitus as primary renal disease.
FIGURE 6
Prevalence of RRT pmp on 31 December 2016 by country/region. The prevalence for Israel only includes patients receiving dialysis. For Romania, Serbia, Switzerland and England (UK), the prevalence is underestimated by, respectively, ∼30, ∼29, ∼6 and ∼1% (see Table 2).
FIGURE 7
Unadjusted (left panel) and adjusted (right panel) prevalence of RRT pmp on 31 December 2016 by country/region. Registries providing individual patient data are shown as dark bars, and registries providing aggregated data as light bars. Adjustment of the prevalence was performed by standardizing the prevalence to the age and gender distribution of the EU27 population [5]. The prevalence for Israel only includes patients receiving dialysis. For Romania, Serbia, Switzerland and England (UK), the prevalence is underestimated by, respectively, ∼30, ∼29, ∼6 and ∼1% (see Table 2).
FIGURE 8
(A) Sex, (B) age and (C) primary renal disease distribution by type of data provided for prevalent patients on RRT on 31 December 2016. See Appendix A1 for a list of countries and regions supplying individual patient data or aggregated data.
FIGURE 9
Treatment modality distribution by (A) type of data provided (B) age and (C) primary renal diagnosis (DM and non-DM) for prevalent patients on RRT on 31 December 2016. Parts (B) and (C) are only based on the data from registries providing individual patient data. See Appendix A1 for a list of countries and regions supplying individual patient data or aggregated data. Tx, kidney transplant.
Prevalence of RRT pmp on 31 December 2016 by country/region. The prevalence for Israel only includes patients receiving dialysis. For Romania, Serbia, Switzerland and England (UK), the prevalence is underestimated by, respectively, ∼30, ∼29, ∼6 and ∼1% (see Table 2).Unadjusted (left panel) and adjusted (right panel) prevalence of RRT pmp on 31 December 2016 by country/region. Registries providing individual patient data are shown as dark bars, and registries providing aggregated data as light bars. Adjustment of the prevalence was performed by standardizing the prevalence to the age and gender distribution of the EU27 population [5]. The prevalence for Israel only includes patients receiving dialysis. For Romania, Serbia, Switzerland and England (UK), the prevalence is underestimated by, respectively, ∼30, ∼29, ∼6 and ∼1% (see Table 2).(A) Sex, (B) age and (C) primary renal disease distribution by type of data provided for prevalent patients on RRT on 31 December 2016. See Appendix A1 for a list of countries and regions supplying individual patient data or aggregated data.Treatment modality distribution by (A) type of data provided (B) age and (C) primary renal diagnosis (DM and non-DM) for prevalent patients on RRT on 31 December 2016. Parts (B) and (C) are only based on the data from registries providing individual patient data. See Appendix A1 for a list of countries and regions supplying individual patient data or aggregated data. Tx, kidney transplant.Prevalence of RRT on 31 December 2016, by country/region, for all primary renal diseases combined and DM types 1 and 2, as count (n) and unadjusted rate pmp, and the mean and median age on 31 December 2016When cells are left empty, the data are unavailable and could not be used for the calculation of the summary data.Patients <20 years of age are not reported. The true prevalent counts are therefore slightly higher than the counts reported here.Data on prevalence include dialysis patients only.The prevalence is underestimated by ∼3% due to an estimated 30% under-reporting of patients living with a functioning graft.The prevalence is underestimated by ∼29% due to centres not submitting complete data for 2016.The prevalence is underestimated by ∼6% due to an estimated 11% under-reporting of patients living with a functioning graft.Data on the prevalence of primary renal disease (DM) is based on 8043 dialysis patients (10.8% of total)The prevalence is underestimated by ∼1% due to a small number of centres not submitting complete data for 2016.DM, diabetes mellitus as primary renal disease.
Kidney transplantation
In 2016, 22 046 kidney transplantations were performed, which equated to an overall unadjusted transplant rate of 32 pmp (Figure 10). Again there was considerable variation between countries/regions with unadjusted kidney transplant rates well over 70 pmp in several Spanish regions, and very low unadjusted kidney transplant rates in Ukraine (3 pmp) and Macedonia (3 pmp). Overall, the unadjusted deceased donor kidney transplant rate was more than twice that of the unadjusted living donor transplant rate (22 pmp versus 9 pmp; 70% versus 30%; Figure 11). The highest unadjusted rates of deceased donor kidney transplants were seen in some Spanish regions (>70 pmp; Figure 12), whereas the highest unadjusted rate of living donor transplants was seen in Northern Ireland (38 pmp), the Netherlands (33 pmp) and Turkey (33 pmp; Figure 12).
FIGURE 10
Kidney transplants performed in 2016, as counts and pmp (unadjusted) by country/region. Registries providing individual patient data are shown as dark bars, and registries providing aggregated data as light bars. Data based on patients aged ≥20 years in Dutch-speaking Belgium, French-speaking Belgium, the Spanish regions of Cantabria, Castile and León, Castile-La Mancha and Navarre and UK: England, Northern Ireland and Wales. The total count for Austria is based on residents and non-residents. For Romania, Serbia, Switzerland and England (UK), the overall kidney transplant rate is underestimated by, respectively, ∼30, ∼36, ∼6 and ∼7%.
FIGURE 11
Donor-type distribution for kidney transplants performed in 2016, by type of data provided. See Appendix A1 for a list of countries and regions supplying individual patient data or aggregated data.
FIGURE 12
Deceased donor (left panel) and living donor (right panel) kidney transplants performed in 2016 pmp, by country/region, unadjusted. Registries providing individual patient data are shown as dark bars, and registries providing aggregated data as light bars. Data based on patients aged ≥20 years in Dutch-speaking Belgium, French-speaking Belgium, the Spanish regions of Cantabria, Castile and León, Castile-La Mancha and Navarre and UK: England, Northern Ireland and Wales. The total count for Austria is based on residents and non-residents. For Romania, Switzerland and England (UK), the kidney transplant rate is underestimated by, respectively, ∼30, ∼6 and ∼7%. For Serbia, the transplant rate is underestimated by ∼29% for deceased donor transplants and by ∼39% for living donor transplants.
Kidney transplants performed in 2016, as counts and pmp (unadjusted) by country/region. Registries providing individual patient data are shown as dark bars, and registries providing aggregated data as light bars. Data based on patients aged ≥20 years in Dutch-speaking Belgium, French-speaking Belgium, the Spanish regions of Cantabria, Castile and León, Castile-La Mancha and Navarre and UK: England, Northern Ireland and Wales. The total count for Austria is based on residents and non-residents. For Romania, Serbia, Switzerland and England (UK), the overall kidney transplant rate is underestimated by, respectively, ∼30, ∼36, ∼6 and ∼7%.Donor-type distribution for kidney transplants performed in 2016, by type of data provided. See Appendix A1 for a list of countries and regions supplying individual patient data or aggregated data.Deceased donor (left panel) and living donor (right panel) kidney transplants performed in 2016 pmp, by country/region, unadjusted. Registries providing individual patient data are shown as dark bars, and registries providing aggregated data as light bars. Data based on patients aged ≥20 years in Dutch-speaking Belgium, French-speaking Belgium, the Spanish regions of Cantabria, Castile and León, Castile-La Mancha and Navarre and UK: England, Northern Ireland and Wales. The total count for Austria is based on residents and non-residents. For Romania, Switzerland and England (UK), the kidney transplant rate is underestimated by, respectively, ∼30, ∼6 and ∼7%. For Serbia, the transplant rate is underestimated by ∼29% for deceased donor transplants and by ∼39% for living donor transplants.
Survival of patients receiving RRT
For patients commencing RRT in the period 2007–11, the 5-year unadjusted patient survival probability for all RRT modalities combined was 50.5% [95% confidence interval (CI) 50.4–50.6]. For patients commencing RRT with dialysis between 2007 and 2011, the 5-year unadjusted patient survival probability was 42.1% (95% CI 42.0–42.3). Adjusted analyses for patient survival on HD and PD revealed higher survival probabilities in the first 3 years for patients receiving PD (Figure 13). For those with a kidney transplant, 5-year adjusted patient and graft survival were higher for living donor transplants compared with deceased donor transplants: 94.6% (95% CI 94.1–95.1) versus 91.9% (95% CI 91.6–92.3) for patient survival and 86.7% (95% CI 85.9–87.4) versus 80.9% (95% CI 80.4–81.4) for graft survival. See Table 3 for a description of the adjustments made and the countries/regions included in these analyses.
FIGURE 13
Patient survival of patients starting HD and PD between 2007 and 2011 from Day 91 (left panel) and patients receiving a first kidney transplant from a living or deceased donor between 2007 and 2011 (right panel). Survival on dialysis was censored for transplantation, and adjusted using fixed values for age (67 years), gender (63% men) and primary renal disease (24% DM, 19% hypertension/renal vascular disease, 11% glomerulonephritis and 46% other causes). Survival after kidney transplantation was adjusted using fixed values for age (50 years), gender (63% men) and primary renal disease (14% DM, 10% hypertension/renal vascular disease, 23% glomerulonephritis and 53% other causes). These figures are based on the data from the following registries providing individual patient data: Austria, Belgium (Dutch-speaking), Belgium (French-speaking), Denmark, Finland, France, Greece, Iceland, Norway, Spain (Andalusia), Spain (Aragon), Spain (Asturias), Spain (Basque country), Spain (Cantabria), Spain (Castile and León), Spain (Castile-La Mancha), Spain (Catalonia), Spain (Extremadura), Spain (Galicia), Spain (Community of Madrid), Spain (Valencian region), Sweden, the Netherlands and the UK (all countries).
Table 3.
The survival probabilities at 1, 2 and 5 years by treatment modality and cohort, from Day 1 of the start of RRT/dialysis, or from the day of kidney transplantation
Survival probabilities as percentage (95% CI)
Cohort: 2007–11
Cohort: 2010–14
Survival type
1 year
2 years
5 years
1 year
2 years
Patient survival on RRT
Unadjusted
83.6 (83.4–83.7)
73.2 (73.1–73.4)
50.5 (50.4–50.6)
84.6 (84.4–84.7)
74.6 (74.5–74.8)
Adjusteda
86.3 (86.1–86.4)
76.6 (76.4–76.9)
51.7 (51.5–52.0)
87.1 (86.9–87.3)
77.9 (77.7–78.1)
Patient survival on dialysis
Unadjusted
82.5 (82.4–82.7)
70.8 (70.6–71.0)
42.1 (42.0–42.3)
83.5 (83.3–83.6)
72.1 (71.9–72.2)
Adjusteda
84.7 (84.5–84.9)
74.0 (73.7–74.2)
45.5 (45.2–45.8)
85.9 (85.7–86.0)
75.6 (75.4–75.8)
Patient survival after first kidney transplantation (deceased donor)
Unadjusted
96.3 (96.1–96.5)
94.4 (94.1–94.6)
87.7 (87.3–88.0)
96.3 (96.1–96.5)
94.3 (94.0–94.5)
Adjustedb
97.7 (97.5–97.9)
96.4 (96.2–96.6)
91.9 (91.6–92.3)
97.9 (97.8–98.1)
96.7 (96.5–96.9)
Graft survival after first kidney transplantation (deceased donor)
Unadjusted
91.1 (90.7–91.4)
88.2 (87.9–88.5)
78.7 (78.3–79.1)
91.0 (90.8–91.3)
88.0 (87.7–88.3)
Adjustedb
92.1 (91.8–92.4)
89.6 (89.2–89.9)
80.9 (80.4–81.4)
92.6 (92.3–92.9)
90.0 (89.7–90.4)
Patient survival after first kidney transplantation (living donor)
Unadjusted
98.7 (98.4–98.9)
97.8 (97.4–98.0)
94.1 (93.6–94.5)
99.1 (98.9–99.2)
98.1 (97.9–98.4)
Adjustedb
98.8 (98.6–99.1)
98.0 (97.7–98.3)
94.6 (94.1–95.1)
99.2 (99.1–99.4)
98.5 (98.2–98.7)
Graft survival after first kidney transplantation (living donor)
Unadjusted
95.9 (95.5–96.3)
94.1 (93.6–94.5)
87.5 (86.9–88.0)
96.8 (96.5–97.1)
95.1 (94.7–95.4)
Adjustedb
95.6 (95.2–96.1)
93.7 (93.2–94.2)
86.7 (85.9–87.4)
96.6 (96.3–97.0)
94.8 (94.4–95.2)
This is based on the data from the following renal registries providing individual patient data: Austria, Belgium (Dutch-speaking), Belgium (French-speaking), Denmark, Finland, France, Greece, Iceland, Norway, Spain (Andalusia), Spain (Aragon), Spain (Asturias), Spain (Basque country), Spain (Cantabria), Spain (Castile and León), Spain (Castile-La Mancha), Spain (Catalonia), Spain (Extremadura), Spain (Galicia), Spain (Community of Madrid), Spain (Valencian region), Sweden, the Netherlands and the UK (all countries).
Analyses were adjusted using fixed values: age (67 years), gender (63% men) and primary renal disease (24% DM, 19% hypertension/renal vascular disease, 11% glomerulonephritis and 46% other causes).
Analyses were adjusted using fixed values: age (50 years), gender (63% men) and primary renal disease (14% DM, 10% hypertension/renal vascular disease, 23% glomerulonephritis and 53% other causes).
Patient survival of patients starting HD and PD between 2007 and 2011 from Day 91 (left panel) and patients receiving a first kidney transplant from a living or deceased donor between 2007 and 2011 (right panel). Survival on dialysis was censored for transplantation, and adjusted using fixed values for age (67 years), gender (63% men) and primary renal disease (24% DM, 19% hypertension/renal vascular disease, 11% glomerulonephritis and 46% other causes). Survival after kidney transplantation was adjusted using fixed values for age (50 years), gender (63% men) and primary renal disease (14% DM, 10% hypertension/renal vascular disease, 23% glomerulonephritis and 53% other causes). These figures are based on the data from the following registries providing individual patient data: Austria, Belgium (Dutch-speaking), Belgium (French-speaking), Denmark, Finland, France, Greece, Iceland, Norway, Spain (Andalusia), Spain (Aragon), Spain (Asturias), Spain (Basque country), Spain (Cantabria), Spain (Castile and León), Spain (Castile-La Mancha), Spain (Catalonia), Spain (Extremadura), Spain (Galicia), Spain (Community of Madrid), Spain (Valencian region), Sweden, the Netherlands and the UK (all countries).The survival probabilities at 1, 2 and 5 years by treatment modality and cohort, from Day 1 of the start of RRT/dialysis, or from the day of kidney transplantationThis is based on the data from the following renal registries providing individual patient data: Austria, Belgium (Dutch-speaking), Belgium (French-speaking), Denmark, Finland, France, Greece, Iceland, Norway, Spain (Andalusia), Spain (Aragon), Spain (Asturias), Spain (Basque country), Spain (Cantabria), Spain (Castile and León), Spain (Castile-La Mancha), Spain (Catalonia), Spain (Extremadura), Spain (Galicia), Spain (Community of Madrid), Spain (Valencian region), Sweden, the Netherlands and the UK (all countries).Analyses were adjusted using fixed values: age (67 years), gender (63% men) and primary renal disease (24% DM, 19% hypertension/renal vascular disease, 11% glomerulonephritis and 46% other causes).Analyses were adjusted using fixed values: age (50 years), gender (63% men) and primary renal disease (14% DM, 10% hypertension/renal vascular disease, 23% glomerulonephritis and 53% other causes).
Expected remaining lifetime
There is still a substantial difference in the expected remaining lifetime between the general population and those receiving dialysis (Figure 14). Patients aged 20–44 years receiving dialysis are expected to live only one-third of the expected remaining lifetime of the age-matched general population, which is about 33 years less. The prospect is even worse for patients aged 45–64 years, as they are expected to live only a quarter as long as their age-matched counterparts in the general population (∼21 years less). Patients living with a kidney transplant fare better than those receiving dialysis. However, the life expectancy of the transplant recipients aged 20–44 years is still ∼30% less than that of the age-matched general population (∼15 years less). Thus, as the age of the transplant recipient increases, the relative difference in the expected remaining lifetime from that of the age-matched general population also increases although the absolute difference decreases.
FIGURE 14
Expected remaining lifetimes of the general population (cohort 2012–16), and of prevalent dialysis and kidney transplant patients (cohort 2012–16), by age and gender. This figure is based on data from the following registries providing individual patient data: Austria, Belgium (Dutch-speaking), Belgium (French-speaking), Denmark, Finland, France, Greece, Iceland, Norway, Spain (Andalusia), Spain (Aragon), Spain (Asturias), Spain (Basque Country), Spain (Cantabria), Spain (Castile and León), Spain (Castile-La Mancha), Spain (Catalonia), Spain (Extremadura), Spain (Galicia), Spain (Community of Madrid), Spain (Valencian region), Sweden, the Netherlands and the UK (all countries).
Expected remaining lifetimes of the general population (cohort 2012–16), and of prevalent dialysis and kidney transplant patients (cohort 2012–16), by age and gender. This figure is based on data from the following registries providing individual patient data: Austria, Belgium (Dutch-speaking), Belgium (French-speaking), Denmark, Finland, France, Greece, Iceland, Norway, Spain (Andalusia), Spain (Aragon), Spain (Asturias), Spain (Basque Country), Spain (Cantabria), Spain (Castile and León), Spain (Castile-La Mancha), Spain (Catalonia), Spain (Extremadura), Spain (Galicia), Spain (Community of Madrid), Spain (Valencian region), Sweden, the Netherlands and the UK (all countries).
Sex comparisons
Figures 15–31 showing comparisons of the sexes are based on the data from 32 national or regional renal registries from 17 countries that provided individual patient data, representing 33.8% of the 2016 European general population.
FIGURE 15
Incidence of RRT per million age-related population (pmarp) in 2016, at Day 1, by age and sex. Figure is only based on the data from registries providing individual patient data (see Appendix A1).
Incidence of RRT per million age-related population (pmarp) in 2016, at Day 1, by age and sex. Figure is only based on the data from registries providing individual patient data (see Appendix A1).Age distribution by sex for incident patients accepted for RRT in 2016, at Day 1. Figure is only based on the data from registries providing individual patient data (see Appendix A1).Sex distribution by age for incident patients accepted for RRT in 2016, at Day 1. Figure is only based on the data from registries providing individual patient data (see Appendix A1).Incidence of RRT pmp in 2016, at Day 1, by primary renal disease and sex. Figure is only based on the data from registries providing individual patient data (see Appendix A1).Primary renal disease distribution by sex for incident patients accepted for RRT in 2016, at Day 1. Figure is only based on the data from registries providing individual patient data (see Appendix A1).Incidence of RRT pmp in 2016, at Day 1, by treatment modality and sex. Figure is only based on the data from registries providing individual patient data (see Appendix A1).Treatment modality distribution by sex for incident patients accepted for RRT in 2016, at Day 1. Figure is only based on the data from registries providing individual patient data (see Appendix A1). Tx, kidney transplant.Prevalence of RRT pmarp on 31 December 2016, by age and sex. Figure is only based on the data from registries providing individual patient data (see Appendix A1).Age distribution by sex for prevalent patients on RRT on 31 December 2016. Figure is only based on the data from registries providing individual patient data (see Appendix A1).Sex distribution by age for prevalent patients on RRT on 31 December 2016. Figure is only based on data from registries providing individual patient data (see Appendix A1).Prevalence of RRT pmp on 31 December 2016, by primary renal disease and sex. Figure is only based on data from registries providing individual patient data (see Appendix A1).Primary renal disease distribution by sex for prevalent patients on RRT on 31 December 2016. Figure is only based on the data from registries providing individual patient data (see Appendix A1).Prevalence of RRT pmp on 31 December 2016, by treatment modality and sex. Figure is only based on the data from registries providing individual patient data (see Appendix A1).Treatment modality distribution by sex for prevalent patients on RRT on 31 December 2016. Figure is only based on the data from registries providing individual patient data (see Appendix A1). Tx, kidney transplant.Kidney transplants performed pmp in 2016, by donor type and sex. Figure is only based on the data from registries providing individual patient data (see Appendix A1).Donor-type distribution for kidney transplants performed in 2016, by sex. Figure is only based on the data from registries providing individual patient data (see Appendix A1).Patient survival of men and women starting HD and PD between 2007 and 2011 from Day 91 (left panel) and men and women receiving a first kidney transplant from a living or deceased donor between 2007 and 2011 (right panel). Survival on dialysis was adjusted using fixed values for age (67 years) and primary renal disease (24% diabetes mellitus, 19% hypertension/renal vascular disease, 11% glomerulonephritis and 46% other causes). Survival after kidney transplantation was adjusted using fixed values for age (50 years) and primary renal disease (14% diabetes mellitus, 10% hypertension/renal vascular disease, 23% glomerulonephritis and 53% other causes). These figures are based on the data from the following registries providing individual patient data: Austria, Belgium (Dutch-speaking), Belgium (French-speaking), Denmark, Finland, France, Greece, Iceland, Norway, Spain (Andalusia), Spain (Aragon), Spain (Asturias), Spain (Basque country), Spain (Cantabria), Spain (Castile and León), Spain (Castile-La Mancha), Spain (Catalonia), Spain (Extremadura), Spain (Galicia), Spain (Community of Madrid), Spain (Valencian region), Sweden, the Netherlands and the UK (all countries).In 2016, 26 446 men and 14 820 women commenced RRT resulting in a higher unadjusted incidence among men (187 pmp) than women (101 pmp). This was the case for all age groups, with the incidence in men aged ≥75 years (807 pmp) being 2.7 times that of women aged ≥75 years (300 pmp; Figure 15). In men and women commencing RRT, the distribution of the age groups was very similar (Figure 16). About 36% of patients commencing RRT were female, decreasing from around 39% of patients <45 years at the start of RRT to about 36% of patients aged ≥45 years (Figure 17).
FIGURE 16
Age distribution by sex for incident patients accepted for RRT in 2016, at Day 1. Figure is only based on the data from registries providing individual patient data (see Appendix A1).
FIGURE 17
Sex distribution by age for incident patients accepted for RRT in 2016, at Day 1. Figure is only based on the data from registries providing individual patient data (see Appendix A1).
Diabetes was the most frequent primary renal disease in both men and women starting RRT (Figure 18). The incidence of men starting RRT for ESRD due to glomerulonephritis/sclerosis (23 pmp) and hypertension (29 pmp) was more than double that of their female counterparts (10 and 13 pmp, respectively), while the incidence of polycystic kidney disease in men (9 pmp) was only about 30% higher than in women (7 pmp). When viewed by sex, the distribution of the primary renal disease was similar. Of the men commencing RRT, 16% had hypertension and 12% had glomerulonephritis/sclerosis, and for women this was 13 and 10%, respectively (Figure 19).
FIGURE 18
Incidence of RRT pmp in 2016, at Day 1, by primary renal disease and sex. Figure is only based on the data from registries providing individual patient data (see Appendix A1).
FIGURE 19
Primary renal disease distribution by sex for incident patients accepted for RRT in 2016, at Day 1. Figure is only based on the data from registries providing individual patient data (see Appendix A1).
The incidence of all treatment modalities was higher among men than women (Figure 20). Of the men and women initiating RRT in 2016, the majority started with HD (82 and 81%, respectively; Figure 21). Although more men (8 pmp) than women (5 pmp) received a pre-emptive transplant, the percentage of patients starting RRT with a pre-emptive transplant was similar among men (4%) and women (5%).
FIGURE 20
Incidence of RRT pmp in 2016, at Day 1, by treatment modality and sex. Figure is only based on the data from registries providing individual patient data (see Appendix A1).
FIGURE 21
Treatment modality distribution by sex for incident patients accepted for RRT in 2016, at Day 1. Figure is only based on the data from registries providing individual patient data (see Appendix A1). Tx, kidney transplant.
On 31 December 2016, 195 810 men and 121 755 women were receiving RRT for ESRD, resulting in a higher prevalence of RRT among men (1381 pmp) than women (827 pmp), which was the case for all age groups (Figure 22). In men, the highest prevalence was found in the group aged ≥75 years, whereas in women the highest prevalence was found in the group aged 65–74 years. The age distribution of patients receiving RRT was similar for both sexes, with most patients in the 45- to 64-year age group (39%; Figure 23). The percentage of women within the different age groups varied between 37% among patients aged 65–74 years and 40% among patients aged 0–19 years (Figure 24). The prevalence of men on RRT with glomerulonephritis/sclerosis and hypertension (301 and 167 pmp) was more than twice that of women (140 and 75 pmp; Figure 25). For men receiving RRT, the most frequent primary renal disease was glomerulonephritis/sclerosis (22%), while for women their most frequent primary renal disease category was ‘miscellaneous’ (Figure 26, Appendix 2). For both men and women, the majority of patients were receiving HD (668 and 399 pmp), and slightly fewer men and women were living with a kidney transplant (642 and 382 pmp, respectively; Figure 27). The distribution of treatment modalities was similar across the sexes (Figure 28).
FIGURE 22
Prevalence of RRT pmarp on 31 December 2016, by age and sex. Figure is only based on the data from registries providing individual patient data (see Appendix A1).
FIGURE 23
Age distribution by sex for prevalent patients on RRT on 31 December 2016. Figure is only based on the data from registries providing individual patient data (see Appendix A1).
FIGURE 24
Sex distribution by age for prevalent patients on RRT on 31 December 2016. Figure is only based on data from registries providing individual patient data (see Appendix A1).
FIGURE 25
Prevalence of RRT pmp on 31 December 2016, by primary renal disease and sex. Figure is only based on data from registries providing individual patient data (see Appendix A1).
FIGURE 26
Primary renal disease distribution by sex for prevalent patients on RRT on 31 December 2016. Figure is only based on the data from registries providing individual patient data (see Appendix A1).
FIGURE 27
Prevalence of RRT pmp on 31 December 2016, by treatment modality and sex. Figure is only based on the data from registries providing individual patient data (see Appendix A1).
FIGURE 28
Treatment modality distribution by sex for prevalent patients on RRT on 31 December 2016. Figure is only based on the data from registries providing individual patient data (see Appendix A1). Tx, kidney transplant.
In 2016, 8355 kidney transplantations were performed in men, and 4827 in women, equating to transplant rates of 59 and 33 pmp, respectively (Figure 29). For men, 22% of the transplants came from living donors, and for women 24% (Figure 30).
FIGURE 29
Kidney transplants performed pmp in 2016, by donor type and sex. Figure is only based on the data from registries providing individual patient data (see Appendix A1).
FIGURE 30
Donor-type distribution for kidney transplants performed in 2016, by sex. Figure is only based on the data from registries providing individual patient data (see Appendix A1).
For patients commencing RRT with dialysis in the period 2007–11, for both HD and PD, the adjusted patient survival probabilities were higher for women than for men (Figure 31). For both men and women receiving a kidney transplant in the period 2007–11, the adjusted patient survival was higher with a living donor transplant compared with a deceased donor transplant, and this difference was more prominent in men than in women.
FIGURE 31
Patient survival of men and women starting HD and PD between 2007 and 2011 from Day 91 (left panel) and men and women receiving a first kidney transplant from a living or deceased donor between 2007 and 2011 (right panel). Survival on dialysis was adjusted using fixed values for age (67 years) and primary renal disease (24% diabetes mellitus, 19% hypertension/renal vascular disease, 11% glomerulonephritis and 46% other causes). Survival after kidney transplantation was adjusted using fixed values for age (50 years) and primary renal disease (14% diabetes mellitus, 10% hypertension/renal vascular disease, 23% glomerulonephritis and 53% other causes). These figures are based on the data from the following registries providing individual patient data: Austria, Belgium (Dutch-speaking), Belgium (French-speaking), Denmark, Finland, France, Greece, Iceland, Norway, Spain (Andalusia), Spain (Aragon), Spain (Asturias), Spain (Basque country), Spain (Cantabria), Spain (Castile and León), Spain (Castile-La Mancha), Spain (Catalonia), Spain (Extremadura), Spain (Galicia), Spain (Community of Madrid), Spain (Valencian region), Sweden, the Netherlands and the UK (all countries).
AFFILIATED REGISTRIES
Albanian Renal Registry (M. Barbullushi, A. Idrizi and E. Bolleku Likaj); Austrian Dialysis and Transplant Registry [OEDTR] (R. Kramar); Belarus Renal Registry (K.S. Komissarov, K.S. Kamisarau and A.V. Kalachyk); Dutch-speaking Belgian Society of Nephrology [NBVN] (M. Couttenye, F. Schroven and J. De Meester); French-speaking Belgian Society of Nephrology [GNFB] (JM. des Grottes and F. Collart); Renal Registry Bosnia and Herzegovina (H. Resić, Z. Stipancic and N. Petkovic); Bulgaria (E.S. Vazelov and I. Velinova); Croatian Registry of renal replacement therapy [CRRRT] (I. Bubić and M. Knotek); Cyprus Renal Registry (K. Ioannou and all of the renal units providing data); Czech Republic: Registry of Dialysis Patients [RDP] (I. Rychlík, J. Potucek, and F. Lopot); Danish Nephrology Registry [DNS] (J.G. Heaf); Estonian Society of Nephrology (Ü. Pechter, K. Lilienthal and M. Rosenberg); Finnish Registry for Kidney Diseases (P. Finne, A. Pylsy and P.H. Groop); France: The Epidemiology and Information Network in Nephrology [REIN] (M. Lassalle and C. Couchoud); Georgian Renal Registry (N. Kantaria and Dialysis Nephrology and Transplantation Union of Georgia); Hellenic Renal Registry (N. Afentakis); Icelandic ESRD Registry (R. Palsson); Israel National Registry of Renal Replacement Therapy (R. Dichtiar, T. Shohat and E. Golan); Italian Registry of Dialysis and Transplantation [RIDT] (A. Limido, M. Nordio and M. Postorino); Latvian Renal Registry (H. Cernevskis, V. Kuzema and A. Silda); Lithuanian Renal Registry (I.A. Bumblyte, V. Vainauskas and E. Žiginskienė); Macedonian Renal Registry (M. Nedelkovska, N. Dimitriova and O. Stojceva-Taneva); Norwegian Renal Registry (T. Leivestad, A.V. Reisæter and A. Åsberg); Polish Renal Registry (G. Korejwo, A. Dębska-Ślizień and R. Gellert); Portuguese Renal Registry (F. Macário and A. Ferreira); Romanian Renal Registry [RRR] (G. Mircescu, L. Garneata and E. Podgoreanu); Russian Renal Registry (N. Tomilina, A. Andrusev and H. Zakharova); Renal Registry in Serbia (N. Maksimovic, R. Naumovic, all of the Serbian renal units, and the Serbian Society of Nephrology); Slovakian Renal Registry (V. Spustová, I. Lajdová and M. Karolyova); Spanish RRT National Registry at ONT, Spanish Regional Registries and Spanish Society of Nephrology (SEN) and the regional registries of Andalusia [SICATA] [P. Castro de la Nuez (on behalf of all users of SICATA)], Aragon (F. Arribas Monzón, J.M. Abad Diez and J.I. Sanchez Miret), Asturias (R. Alonso de la Torre, J.R. Quirós and RERCA Working Group), Basque country [UNIPAR] (Á. Magaz, J. Aranzabal, M. Rodrigo and I. Moina), Cantabria (J.C. Ruiz San Millán, O. Garcia Ruiz and C. Piñera Haces), Castile and León (M.A. Palencia García), Castile-La Mancha (G. Gutiérrez Ávila and I. Moreno Alía), Catalonia [RMRC] (E. Arcos, J. Comas and J. Tort), Extremadura (J.M. Ramos Aceitero and M.A. García Bazaga), Galicia (E. Bouzas-Caamaño), Community of Madrid (M.I. Aparicio de Madre), Renal Registry of the Region of Murcia (C. Santiuste de Pablos and I. Marín Sánchez), Navarre (M.F. Slon Roblero, J. Manrique Escola and J. Arteaga Coloma) and the Valencian region [REMRENAL] (M. Ferrer Alamar, N. Fuster Camarena and J. Pérez Penadés); Swedish Renal Registry [SNR] (K.G. Prütz, M. Stendahl, M. Evans, S. Schön, T. Lundgren and M. Segelmark); Swiss Dialysis Registry (P. Ambühl and R. Winzeler); Dutch Renal Registry [RENINE] (L. Heuveling, S. Vogelaar and M. Hemmelder); Tunisia, Sfax region (F. Jarraya and D. Zalila); Registry of the Nephrology, Dialysis and Transplantation in Turkey [TSNNR] (G. Süleymanlar, N. Seyahi and K. Ateş); Ukrainian Renal Data System [URDS] (M. Kolesnyk, S. Nikolaenko and O. Razvazhaieva); United Kingdom Renal Registry [UKRR] (all the staff of the UK Renal Registry and of the renal units submitting data); Scottish Renal Registry [SRR] (all of the Scottish renal units).
ERA-EDTA REGISTRY COMMITTEE MEMBERS
C. Zoccali, Italy (ERA-EDTA President); Z.A. Massy, France (Chairman); F.J. Caskey, UK; C. Couchoud, France; M. Evans, Sweden; P. Finne, Finland; J.W. Groothoff, The Netherlands; J. Harambat, France; J.G. Heaf, Denmark; F. Jarraya, Tunisia; M. Nordio, Italy; and I. Rychlik, Czech Republic.
ERA-EDTA REGISTRY OFFICE STAFF
K.J. Jager (Managing Director), M. Bonthuis (for the paediatric section), R. Cornet, G. Guggenheim, A. Kramer, M. Noordzij, M. Pippias, V.S. Stel and A.J. Weerstra.
Authors: Anneke Kramer; Maria Pippias; Vianda S Stel; Marjolein Bonthuis; José Maria Abad Diez; Nikolaos Afentakis; Ramón Alonso de la Torre; Patrice Ambuhl; Boris Bikbov; Encarnación Bouzas Caamaño; Ivan Bubic; Jadranka Buturovic-Ponikvar; Fergus J Caskey; Pablo Castro de la Nuez; Harijs Cernevskis; Frederic Collart; Jordi Comas Farnés; Maria de Los Ángeles Garcia Bazaga; Johan De Meester; Manuel Ferrer Alamar; Patrik Finne; Liliana Garneata; Eliezer Golan; James G Heaf; Marc Hemmelder; Kyriakos Ioannou; Nino Kantaria; Mykola Kolesnyk; Reinhard Kramar; Mathilde Lassalle; Visnja Lezaic; Frantisek Lopot; Fernando Macário; Angela Magaz; Eduardo Martín-Escobar; Wendy Metcalfe; Mai Ots-Rosenberg; Runolfur Palsson; Celestino Piñera Celestino; Halima Resić; Boleslaw Rutkowski; Carmen Santiuste de Pablos; Viera Spustová; Maria Stendahl; Ariana Strakosha; Gültekin Süleymanlar; Marta Torres Guinea; Anna Varberg Reisæter; Evgueniy Vazelov; Edita Ziginskiene; Ziad A Massy; Christoph Wanner; Kitty J Jager; Marlies Noordzij Journal: Clin Kidney J Date: 2016-01-31
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Authors: Maria Pippias; Anneke Kramer; Marlies Noordzij; Nikolaos Afentakis; Ramón Alonso de la Torre; Patrice M Ambühl; Manuel I Aparicio Madre; Felipe Arribas Monzón; Anders Åsberg; Marjolein Bonthuis; Encarnación Bouzas Caamaño; Ivan Bubic; Fergus J Caskey; Pablo Castro de la Nuez; Harijs Cernevskis; Maria de Los Ángeles Garcia Bazaga; Jean-Marin des Grottes; Raquel Fernández González; Manuel Ferrer-Alamar; Patrik Finne; Liliana Garneata; Eliezer Golan; James G Heaf; Marc H Hemmelder; Alma Idrizi; Kyriakos Ioannou; Faical Jarraya; Nino Kantaria; Mykola Kolesnyk; Reinhard Kramar; Mathilde Lassalle; Visnja V Lezaic; Frantisek Lopot; Fernando Macario; Ángela Magaz; Angel L Martín de Francisco; Eduardo Martín Escobar; Alberto Martínez Castelao; Wendy Metcalfe; Inmaculada Moreno Alia; Maurizio Nordio; Mai Ots-Rosenberg; Runolfur Palsson; Marina Ratkovic; Halima Resic; Boleslaw Rutkowski; Carmen Santiuste de Pablos; Nurhan Seyahi; María Fernanda Slon Roblero; Viera Spustova; Koenraad J F Stas; María E Stendahl; Olivera Stojceva-Taneva; Evgueniy Vazelov; Edita Ziginskiene; Ziad Massy; Kitty J Jager; Vianda S Stel Journal: Clin Kidney J Date: 2017-01-16
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