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IJSTR >> Volume 8 - Issue 8, August 2019 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Determining The Probability Of Survival And Its Factors For The Infected Hemodialysis Patients

[Full Text]



Badreddine Jerbi



Logistic Regression, haemodialysis, Monte Carlo simulation, Multivariate analysis



Hemodialysis patients are highly exposed to infections because the blood has to circulate out of the body through a cleaning machine. Usually an apparatus such as fistula or catheter is used to manipulate the blood access. Grafts and blood factors are thought to be major causes of morbidity and mortality. In this paper, sixty patients are considered, the whole population of the infected hemodialysis patients who came to the infectious service of Hedi Chaker hospital in Sfax Tunisia over 10 years period. The data are not available on all the patients. Statistics on: (1) Clinical factors such as age and gender and (2) Blood factors such as type and resistance of the germs are computed. A univariate analysis for each factor and its effects on the probability of survival are presented. A multivariate analysis is performed in which the probability of survival is found to be related to the non-presence of prosthesis, higher hemoglobin level and stable heart beats per minute. Monte Carlo methodology helped to refine the result by making inferences on the global population of the infected hemodialysis patients.



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