Preview

Proceedings of the National Academy of Sciences of Belarus, Medical series

Advanced search

Mathematical prediction of the primary kidney graft function

Abstract

Validation of the model allowed finding thresholds, according to which one can interpret reasonably the model results. If the probability of the primary graft function is more than 0.89, then the satisfactory primary graft function is expected. If the result is within the range of 0.53-0.89, it is believed that there is a risk of the primary graft function. And if the result is less than 0.53, the unsatisfactory primary graft function is predicted. The software product "Kidney graft function calculator" has been developed based on the model built.

About the Authors

A. . Kalachyk
9th City Clinical Hospital
Belarus


U. . Hrusheuski
Belarusian State University
Belarus


A. . Bredzikhin
"EPAM systems"
Belarus


I. . Kirkorov
"EPAM systems"
Belarus


References

1. Delayed graft function, acute rejection, and outcome after cadaveric renal transplantation: the multivariate analysis / C. Tropmann [et al.] // Transplant. - 1995. -Vol. 59, N 7. - Р. 962-968.

2. Major effects of delayed graft function and cold ischemia time on renal allograft survival / I. Quiroga [et al.] // Nephrol. Dial. Transplant. - 2006. - Vol. 21, N 6. - P. 1689.

3. Delayed graft function of more than six days strongly decreases long-term survival of transplanted kidneys / M. Giral-Classe [et al.] // Kidney Int. - 1998. - Vol. 54, N 3. - P. 972.

4. A Risk Prediction Model for Delayed Graft Function in the Current Era of Deceased Donor Renal Transplantation / W. D. Irisha [et al.] // Am. J. of Transplant. - 2010. - Vol. 10. - P. 2279-2286.

5. Nomogram for predicting the likelihood of delayed graft function in adult cadaveric renal transplant recipients / W. D. Irish [et al.] // J. Am. Soc. Nephrol. - 2003. - Vol. 14, N 11. - P. 2967.

6. Recommendations for the Assessment and Reporting of Multivariable Logistic Regression in Transplantation Literature / Andre C. Kalil [et al.] // Am. J. Transplant. - 2010. - Vol. 10, N 7. - P. 1686-1694.

7. Statistics notes: diagnostic tests 1: sensitivity and specificity / Altman G. Douglas [et al.] // BMJ. - 1994. - Vol. 308, N 6943. - P. 1552.

8. Сорокин, А. К вопросу валидации модели логистической регрессии в кредитном скоринге / А. Сорокин. -Науковедение (интернет-журн.). - 2014. - Вып. 2. - C. 21.


Review

For citations:


Kalachyk A., Hrusheuski U., Bredzikhin A., Kirkorov I. Mathematical prediction of the primary kidney graft function. Proceedings of the National Academy of Sciences of Belarus, Medical series. 2015;(4):85-91. (In Russ.)

Views: 346


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 1814-6023 (Print)
ISSN 2524-2350 (Online)