Evolution de la dialyse péritonéale en France depuis 2018 et durant les « années COVID » Rapport RDPLF
DOI :
https://doi.org/10.25796/bdd.v5i3.67903Mots-clés :
COVID-19, transferts, RDPLF, incidence, prévalence, dialysis à domicile, dialyse péritonéale, transplantationRésumé
La quasi-totalité (99 %) des patients traités par dialyse péritonéale en France est enregistrée dans la base de données du RDPLF. En dehors de toute analyse statistique visant à interpréter les chiffres, ce travail est un rapport des données brutes observées dans la population d’insuffisants rénaux Stade V traités par dialyse péritonéale depuis le début de l’épidémie COVID-19 et dans les deux années qui ont précédé. Depuis le début de l’épidémie ces données semblent montrer une diminution de l’incidence des traitements par dialyse péritonéale et une augmentation des transferts en hémodialyse en centre. On observe par ailleurs une diminution des inscriptions sur liste d’attente de transplantation et une diminution du nombre de transplantations. Si la baisse temporaire de l’activité de transplantation peut s’expliquer par la désorganisation qu’a provoquée l’épidémie dans les hôpitaux, une baisse des indications de mise à domicile mérite probablement une réflexion plus approfondie sur ses causes, d’autant plus que ce résultat est en opposition avec les tendances d’autres pays. Ce rapport a pour but d’encourager des études plus précises sur l’intérêt de la dialyse à domicile en période épidémique.
INTRODUCTION
The occurrence of the SARS-Cov2 epidemic has had dramatic consequences on the morbidity and mortality of patients with stage-V chronic kidney disease or transplanted patients. In France, the evolution of the rate of contamination and lethality is communicated weekly by the Agence de Biomédecine and the REIN registry [1]. While many teams around the world have recommended prioritizing home dialysis and particularly peritoneal dialysis (PD) [2];[3];[4], we thought it was important to investigate the situation in France.
We report the evolution of PD in France since 2018. This is raw data extracted from the RDPLF database, specifically from its main module that represents 99% of patients treated with PD in France. We present this information in the form of tables and graphs, without interpretation, with our aim being to provide the reader with immediately accessible general information that can be used as a support for oral presentations and as a basis for reflection for future work. All tables and figures may be freely used provided that their origin is cited (reference of this article or at least its DOI).
I - PROFILE OF PATIENTS TREATED WITH PERITONEAL DIALYSIS IN MAINLAND FRANCE IN 2021
Prevalent patients in the year (Table I and Figure 1)
Sexe ratio : women : 36,4 % Men : 63,6 %
| All patients | CAPD | APD | |
|---|---|---|---|
| Numbers | 4110 | 2568 | 1542 |
| Age | 66,2±16,2 | 70,6±14,2 | 58,9±16,8 |
Figure 1.Age distribution of PD patients treated in 2021
Diabetes status
44.8% of patients treated with peritoneal dialysis in metropolitan France in 2021 had diabetes. The distribution of patients according to diabetic status and treatment of their diabetes is summarized in Table II.
Among diabetic patients on insulin, 98.7% were on subcutaneous insulin and 1.34% on intraperitoneal insulin.
| Diabetic status | Percentages |
|---|---|
| Non-diabetics | 65,28% |
| Diabetics treated with diet | 4,21% |
| Orally treated diabetics | 6,89% |
| Diabetics on subcutaneous insulin | 23,31% |
| Diabetics on intraperitoneal insulin | 0,32% |
Autonomy and PD type (CAPD vs APD)
In 2021, 43.7% of patients required assistance to perform their peritoneal dialysis; this assistance is mostly provided by private nurses at home, paid by national health insurance (Table III).
| Autonomy | Numbers | Percentages |
|---|---|---|
| Autonomous | 2314 | 0.56302 |
| Nurse assisted | 1560 | 0.37956 |
| Family assisted | 213 | 0.05182 |
| Assisted (unspecified) | 21 | 0.00511 |
| Missing data | 2 | 0.00049 |
| CAPD | APD | |
|---|---|---|
| Number/% | 1748 (61%) | 1095 (49%) |
| Age | 70.7±13,5 | 60.5±15,1 |
| Sex ratio (F/M) | 38.4%/61.6% | 33.6%/66.7% |
| Diabetics | 40.6% | 24.7% |
| Autonomous | 45.1% | 81.9% |
| Nurse assisted | 50.3% | 13.35% |
| Family assisted | 4.6% | 4.75% |
CAPD patients are older than those on APD, more often diabetic and 50% require nurse assistance, contrary to APD where the majority (nearly 82%) are autonomous (Table IV).
Partition of PD techniques at 31 December 2021
On December 31, 2021, 2724 patients were treated by PD in metropolitan France, 1714 (63%) in CAPD and 1010 (37%) in APD.
In CAPD, the age was 70.6 years±13.6, the sex ratio was 38% female and 61.7% male. In APD the age was 60 years±16.2 and the sex ratio was 33.6% women and 66.4% men.
Figure 2 shows the distribution of the PD technique used according to age.
Figure 2.Age distribution of patients treated with CAPD or APD, on December 2021. Percentages in a technique, CAPD or APD, are calculated in relation to the total number in the technique.
Peritoneal infections in 2021
The latest ISPD guidelines recommend that peritonitis recidives should not be counted in the calculation of the peritonitis rate; nevertheless, clinical recurrences are indeed additional stresses for patients and their peritoneal membrane, so we report the results with and without counting recurrences. All calculations were computed using the method recommended by ISPD [5].
- Rate of peritoneal infection (including recidives): 1 episode every 37.8 months or 0.32 episodes per year
- Rate of peritoneal infection (excluding recidives): 1 episode every 40 months or 0.30 episodes per year
TheTable V summarizes the distribution of organisms cultured in 2021. Multiple germ peritonitis is not detailed but is the subject of an accepted work in the journal Nephrology Dialysis and Transplantation (in press) [6].
The percentage of aseptic peritonitis was 15.1%, in line with international recommendations. However, it should be remembered that the rate of culture-negative peritonitis may vary considerably between centers, as we have previously shown [7].
| Germs | Numbers | Percentages |
|---|---|---|
| Gram Plus cocci | 387 | 44,7% |
| Gram negative Bacilli | 231 | 26,7% |
| Gram plus bacilli | 39 | 4,5% |
| Negative cultures | 131 | 15,1% |
| Multiple germs | 62 | 7,2% |
| Yeasts | 10 | 1,2% |
| Gram less cocci | 5 | 0,6% |
| Various | 1 | 0,1% |
Waiting times for 2021 transplanted patients (Table VI)
| Duration of treatment before transplant | Numbers | Percentages |
|---|---|---|
| 0-1 years | 27 | 13,2% |
| 1-2 years | 73 | 35,6% |
| 2-3 years | 47 | 22,9% |
| 3-4 years | 24 | 11,7% |
| 4-5 years | 14 | 6,8% |
| 5 years and more | 20 | 9,8% |
II- Profiles and evolution of patients treated with PD in metropolitan France from January 2018 to June 2022
We observe a relative stability in the number of new peritoneal dialysis patients until the first half of 2020 and, after a transitory increase at the beginning of 2021, the number of new patients starting PD decreases steadily, especially men until the first half of 2022. (Figure 3).
Figure 3.Incident patients per semester (S)
This is reflected by an identical evolution of the number of prevalent patients at the end of each semester ( Figure 4.)
Figure 4.Patients in treatment on the last day of each semester.
Evolution of PD dropouts and their reasons
Since the beginning of 2020, the trend observed is an increase in the number of transfers from peritoneal dalysis to hemodialysis in centers, associated with a decrease in transplantation ( Figure 5. and Table VII ; Table VIII)
Figure 5.Six-monthly trends in causes of peritoneal dialysis discontinuation. Percentages are calculated in relation to the total number of patients discharged from PD in each period
| Semesters | 2018/1 | 2018/2 | 2019/1 | 2019/2 | 2020/1 | 2020/2 | 2021/1 | 2021/2 | 2022/1 |
|---|---|---|---|---|---|---|---|---|---|
| Deaths | 256 (41,8%) | 233 (37,7%) | 256 (39,0%) | 236 (37,9%) | 257 (39,4%) | 262 (42,0%) | 254 (39,7%) | 226 (36,4%) | 269 (40,9%) |
| Transfers to HD | 225 (36,8%) | 249 (40,3%) | 248 (37,8%) | 259 (41,6%) | 292 (44,8%) | 245 (39,3%) | 289 (45,2%) | 274 (44,1%) | 259 (39,4%) |
| Kidney transplantation | 127 (20,8%) | 133 (21,5%) | 144 (22,0%) | 123 (19,8%) | 101 (15,5%) | 106 (17,0%) | 87 (13,6%) | 114 (18,4%) | 121 (18,4%) |
| Renal function recovery | 4 (0,7%) |
3 (0,5%) |
8 (1,2%) |
4 (0,6%) |
2 (0,3) |
11 (1,8%) | 10 (1,6%) |
7 (1,1%) |
8 (1,2%) |
| Semesters | 2018/1 | 2018/2 | 2019/1 | 2019/2 | 2020/1 | 2020/2 | 2021/1 | 2021/2 | 2022/1 |
|---|---|---|---|---|---|---|---|---|---|
| Inadequat dialysis | 30,4% | 35,3% | 27,8% | 29,7% | 29,3% | 29,5% | 34,4% | 29,5% | 37,5% |
| Peritonitis | 13,8% | 10,4% | 12,1% | 13,5% | 13,9% | 13,1% | 8,5% | 14,4% | 17,4% |
| Catheter problem | 12,1% | 7,2% | 11,3% | 11,2% | 9,9% | 9,2% | 6,9% | 10,5% | 4,5% |
| Loss of ultrafiltration | 9,4% | 11,6% | 11,7% | 11,2% | 9,5% | 7,6% | 8,5% | 8,8% | 7,6% |
| Malnutrition | 0,9% | 1,2% | 0,0% | 1,9% | 1,0% | 2,0% | 0,3% | 0,7% | 0,4% |
| Other | 33,5% | 34,1% | 37,1% | 32,4% | 35,7% | 34,3% | 34,8% | 31,6% | 30,3% |
| COVID | 0,0% | 0,0% | 0,0% | 0,0% | 0,7% | 4,4% | 6,6% | 4,6% | 2,3% |
Evolution of the number of registrations on the transplant waiting list
2018: 372
2019: 381
2020: 325
2021: 310
Supposed causes of COVID-19 contamination
Only clinically symptomatic and proven COVID-19 infections were counted. Cases of COVID-19 infections diagnosed with a positive PCR test without clinical signs were not counted.
645 episodes of symptomatic COVID-19 were reported. 95 times, the cause was not recorded; in the remaining 553, COVID-19 patients were asked to indicate what they considered most likely to have caused the contamination. The suspected causes are summarized in the table below. In 34% of the cases, the patient did not know the probable source, but contamination by a family member and during a hospital stay for consultation or hospitalization came in first and second place (Table IX).
| Source of contamination | Numbers | Percentages |
|---|---|---|
| Unknown | 188 | 34,0% |
| Family | 203 | 36,7% |
| External Visitor | 25 | 4,5% |
| Nursing home | 38 | 6,9% |
| Hospitalization | 83 | 15,0% |
| Consultation | 7 | 1,3% |
| Work | 9 | 1,6% |
Synthesis
These raw results show that, in metropolitan France, there has been no increase in the prescription of PD since the beginning of the SARS-Cov2 epidemic, contrary to what has been reported or observed in other countries. In addition, there appears to be an increase in the number of transfers from PD to in-center hemodialysis with a high and increasing proportion of transfers for inadequat dialysis. There was also a slight decrease in the number of new registrations on the transplant waiting list.
Suggestions for future work
Upon request, anonymized exports of the RDPLF database can be made available to teams wishing to study the above figures in more detail or to use them as inspiration for future research. The Home Dialysis Bulletin would, should they wish it, allow them a quick publication if their work is accepted after critical peer review.
- A national survey would be useful to identify the causes of this decrease in the incidence of PD during the period of theoretical risk of nosocomial contamination, whereas other countries have a different evolution..
- An identical study by region would also be necessary.
- The risk of contamination should also be differentiated according to autonomy and type of assistance.
- the high frequency of transfers due to inadequat dialysis should be analyzed by taking into account the association with the practice of empty peritoneal cavity periods, or the decrease in the number of dialysis exchanges or interruptions during the week.
- we preferred, for this report, in order to be nationally representative, to study only PD patients, as 99% of whom are included in the database. A similar study should be done for patients treated by home hemodialysis. Nevertheless, a preliminary Belgian study at the beginning of the COVID period seemed to also show a decrease in the number of patients starting a home hemodialysis treatment at the same period [8]. Non-medical organizational factors may explain these results. An opposite trend has been recently observed in United States [9].
Acknowledgments
We thank all the nurses and nephrologist colleagues who participated in the RDPLF and who have undertaken the enormous work of updating the data in real time
STATEMENT OF INTEREST
The authors declare that they have no conflict of interest in this work. They certify that they have rigorously respected the information recorded by the centers that participated in the RDPLF, wi-thout having practiced any selection or alteration of the data.Peer review: This report was reviewed by two members of the editorial board but was not double-blinded read by external reviewers. The purpose of the report was to simply convey the infor-mation available in the database prior to any statistical analysis and to give readers the option of undertaking a more detailed study that could be more critically reviewed.
Copyright & License
© Author retains copyright.
This work is licensed under a Creative Commons Attribution 4.0 International License.

Références
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© Christian Verger, Emmanuel Fabre 2022

Ce travail est disponible sous la licence Creative Commons Attribution 4.0 International .





