Abstract
Intradialytic hypotension (IDH) occurring during hemodialysis (HD) may cause severe complications and can be life-threatening. IDH is a common symptom in patients with end stage renal disease undergoing HD. Currently, no effective predictive models for IDH exist. This study analyzed data on variations in oxygen saturation (SaO₂) and heart rate (HR) in 68 patients during their HD sessions by using sequence alignment and Boolean algebra. Three classifiers derived from SaO₂ and HR variation data were developed as predictors for predetermining IDH occurrence within 30 minutes. The accuracy of these classifiers in predicting IDH occurrence was approximately 80%. SaO₂ and HR variations can potentially be used as predictors for developing an alarm system for detecting IDH occurrence. Copyright © 2018 American Nephrology Nurses Association.
| Original language | English |
|---|---|
| Pages (from-to) | 53-60 |
| Journal | Nephrology Nursing Journal |
| Volume | 45 |
| Issue number | 1 |
| Publication status | Published - Jan 2018 |
Keywords
- Intradialytic hypotension
- Saturation of oxygen
- Heart rate
- Sequence alignment
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