Abstract

Blood leakage or serious blood loss is a frequent life-threatening complication that occurs during dialysis treatment. When these events occur, it takes only a few minutes for blood loss in an adult patient, resulting in mortality. As an early-warning design, this study proposes integrating a flexible sensor and a virtual self-organizing DC (Direct Current) grid model for blood leakage detection. A flexible sensor is made using a screen printing technique, and a self-organizing algorithm is used to automatically construct a virtual DC grid from an existing grid to an extending grid. That is, a virtual blood leakage detector can be modeled, which is intended for detection of blood leakage or serious blood loss. The feasibility is verified, and the model is implemented in an embedded system.

Highlights

  • According to the 2016 statistics, in Taiwan, more than 80,000 patients with end-stage renal disease and chronic kidney failure have received dialysis therapy

  • The reports revealed that more than half of the surveyed candidates concerned about venous needle dislodgement (VND) or serious blood loss indicated that they were concerned about VND very often (>30%) or often (>20%)

  • Six risk levels were identified in the American Nephrology Nurses’ Association (ANNA)

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Summary

Introduction

According to the 2016 statistics, in Taiwan, more than 80,000 patients with end-stage renal disease and chronic kidney failure have received dialysis therapy. In a routine dialysis treatment, certain complications occur frequently, including vascular access stenosis [1], venous needle dislodgment, body fluid/blood leakage, and serious blood loss [2,3]. Among these events, blood leakage or serious blood loss is a life-threatening complication. In a lecture in 2012 [4], the American Nephrology Nurses’ Association (ANNA) venous needle dislodgement (VND) survey reports revealed that more than 75% of the surveyed candidates indicated that they had observed a VND event in a hemodialysis room with more than 8% having observed five events or more in the last 5 years.

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