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Proceedings of

2nd International Conference on Advances in Information Processing and Communication Technology IPCT 2015

"A PREDICTIVE INDEX OF INTRA-DIALYSIS IDH A STATISTICAL CLINICAL DATA MINING APPROACH"

CAMILLA BIANCHI CARLO SCHOENHOLZER CLAUDIO MINORETTI GIULIA CAPPOLI GIUSEPPE PONTORIERO GIUSEPPE ROMBOLA GIUSTINA CASAGRANDE MARIA LAURA COSTANTINO
DOI
10.15224/978-1-63248-044-6-76
Pages
109 - 113
Authors
8
ISBN
978-1-63248-044-6

Abstract: “Intra-Dialysis Hypotension (IDH) is one of the main hemodialysis related complications, occurring in 25-30% of the sessions. The factors involved in the onset of hypotension in patients undergoing dialysis are due both to clinical conditions (e.g. presence of vascular or cardiac diseases, neuropathology, anemia) and treatment settings such as temperature of the dialysate, sodium concentration, buffer composition, ultrafiltration rate, etc. The patient’s peculiar reaction to the treatment implies difficulties in preventing IDH episodes. This work explores the possibility to use a multivariate analysis of clinical data to quantify the risk to develop IDH at the beginning of each session. The study is framed in the DialysIS project (Dialysis therapy between Italy and Switzerland) funded by INTERREG – Italy – Switzerland and Co-funded by European Union. Data referring to a total of 516 sessions performed on 70 adult patients undergoing dialysis treatment (50 patients enrolled at A. Manzoni”

Keywords: statistical analysis, data mining, predictive index, intra-dialysis hypotension, hemodialysis.

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