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Association between non-matured arterio-venus fistula and blood pressure in hemodialysis patients.

作者信息

Rezapour Mohammad, Khavaninzadeh Morteza

机构信息

1. PhD student, Department of Information Technology Management, Science and Research Branch, Islamic Azad University, Tehran, Iran.

2. Assistant Professor of Surgery,RasoulAkram Hospital,Iran University of Medical Sciences (IUMS), Tehran, Iran.

出版信息

Med J Islam Repub Iran. 2014 Dec 8;28:144. eCollection 2014.

Abstract

BACKGROUND

Chronic Kidney Disease (CKD) is a complicated kidney problem causing permanent renal failure in progressive stages. The final stage of CKD is called ESRD in which most accepted management is Hemodialysis (HD). Arterio-Venus Fistula (AVF) is the most practical way of making proper access to the blood circulatory system; however, maturation of the AVF is a challenge, since there are number of variables interfering with the whole process. The purpose of this study was to evaluate potentially modifiable factors associated with Maturation Time (MT) after creation of a Vascular Access (VA).

METHODS

In this cross-sectional study, a total of 87 patients referred to the Hasheminejad Kidney Center for AVF creation in 2010 were evaluated. Patients were evaluated before and after the AVF creation and risk factors such as history of blood pressure abnormalities, diabetes and congestive heart failure, as well as the successive development of AVF was studied and finally processed using 'data mining' technology.

RESULTS

The "Decision Trees" indicated the significant impact of the systolic blood pressure (SBP) in the delay of the patient's AVF maturation. Also, prediction of AVF maturation was made with 70.59% of precision in regard to their BP condition.

CONCLUSION

This study demonstrated that monitoring the SBP is one of the important steps in management of the cardiovascular variables producing any delay in the process of the patient's HD. Also the data mining method can discover the hidden relationship between the patient's medical conditions in order to predict the potential disorders.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ffc/4322341/fa7d3d56d726/MJIRI-28-144-g001.jpg

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