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Kidney transplantation is the treatment of choice for end-stage renal disease in terms of morbidity, mortality, and cost-benefit ratio. Graft loss is mainly related to the occurrence of rejection. Hence the importance of regular monitoring to check that the graft is functioning properly, to adapt immunosuppressive treatments and to check for side effects related to the immunosuppressed state.
In conventional management, the patient is seen at regular intervals (ranging from 2 weeks to 3 months) in the referral transplant centre with recourse to hospitalisation if necessary. In the context of the COVID-19 pandemic, in order to reduce the risks of contamination, teleconsultations have been proposed to replace face-to-face consultations. Predigraft software facilitates remote patient assessment. This software provides an estimate of the probability of renal graft survival at 3, 5 and 7 years of the assessment based on an algorithm developed and validated by the U970 unit (Loupy A et al, BMJ 2019). The software also provides an application for patients allowing secure data transfer (biological analyses, blood pressure, weight). This allows the assessment of the need for additional patient evaluation based on usual monitoring parameters (creatinine, proteinuria) that can be done in the analysis laboratory near the patient's home.
A first evaluation of the use and acceptability among care professionals has been conducted between April and June 2020 and showed excellent results. It is now necessary to obtain real-life data to evaluate the use of the tool among patients and healthcare professionals and its impact on the organisation of care.
This is a prospective interventional study with minimal risks and constraints on the active file of transplant patients followed in ambulatory care for a period of 12 months.
The objective of this study will be to evaluate the use of the Predigraft platform by kidney transplant patients.
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50 participants in 1 patient group
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Matthieu Resche-Rigon, Pr; Carmen Lefaucheur, Pr
Data sourced from clinicaltrials.gov
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