Authors
1 Health Information Technology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
2 Psychiatry and Behavioral Sciences Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Abstract
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 the
waiting list for a transplant. This research aimed to extract the prognostic models that evaluate the
preparation of kidney donors diagnosed with brain death (DBD).This research was a systematic
review of PubMed, Science Direct, and general explorers up until 2020. It followed the Preferred
Reporting Items for Systematic Reviews and Meta‑Analyses‑P protocol. The assessment of the
articles 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 information
included 9 academic articles along with 2 Grey Sources from 7 different countries. 9 algorithms
and models were extracted which included, overall 10 factors. All the models were comprised of
4 factors and about 90% of these models considered 4 or 5 factors to evaluate the preparation of
kidney 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 emergence
of the disease. Prognostic models of renal diseases can be a great help to patients. A review of
the related literature revealed that all the models received a high score in terms of the two factors
they included, age and history of blood pressure.
Keywords
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