Scoring systems of kidney donation from deceased donors: A systematic review

نویسندگان

1 Psychiatry and Behavioral Sciences Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.

2 Health Information Technology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran

3

doi
چکیده

Renal disease is the most prevalent disease. Kidney failure can cause physical problems. Hence,patients need to use dialysis therapy or kidney transplantation, and actually, people are in thewaiting list for a transplant. This research aimed to extract the prognostic models that evaluate thepreparation of kidney donors diagnosed with brain death (DBD).This research was a systematicreview of PubMed, Science Direct, and general explorers up until 2020. It followed the PreferredReporting Items for Systematic Reviews and Meta‑Analyses‑P protocol. The assessment of thearticles was done by the authors. This evaluation was supposed to be in the form of scoring,prioritizing, and ranking the donors in terms of their preparation. Eleven sources of informationincluded 9 academic articles along with 2 Grey Sources from 7 different countries. 9 algorithmsand models were extracted which included, overall 10 factors. All the models were comprised of4 factors and about 90% of these models considered 4 or 5 factors to evaluate the preparation ofkidney donors DBD. Over 60% of the models had taken into account age, blood pressure history,and creatinine factors. Disease prognosis facilitates a doctor’s decision‑making on the emergenceof the disease. Prognostic models of renal diseases can be a great help to patients. A review ofthe related literature revealed that all the models received a high score in terms of the two factorsthey included, age and history of blood pressure.