Abstract
Hemodialysis (HD) is a treatment given to patients with renal failure. Notable treatment-related complications include hypotension, cramps, insufficient blood flow, and arrhythmia. Most complications are associated with unstable blood pressure during HD. Physicians are devoted to seeking solutions to prevent or lower the incidence of possible complications. With advances in technology, big data have been obtained in various medical fields. The accumulated dialysis records in each HD session can be gathered to obtain big HD data with the potential to assist HD staff in increasing patient wellbeing. We generated a large stream of HD parameters collected from dialysis equipment associated with the Vital Info Portal gateway and correlated with the demographic data stored in the hospital information system from each HD session. We expect that the application of HD big data will greatly assist HD staff in treating intradialytic hypotension, setting optimal dialysate parameters, and even developing an intelligent early-warning system as well as providing individualized suggestions regarding dialysis settings in the future.
Highlights
Background & SummaryThe global population with end-stage renal disease (ESRD) is increasing annually
Dialysis-associated hypotension is considered to be a frequent complication ranging from 5.6 to 76.7% at each HD session and may contribute to considerable symptom burden[9].One report has shown that 75% of HD patients had at least one episode of hypotension[10]
Intradialytic hypotension is associated with older patients with diabetes and lower predialysis Blood pressure (BP) and longer dialysis vintage[3,10]
Summary
The global population with end-stage renal disease (ESRD) is increasing annually. Hemodialysis, which provides the excellent, rapid clearance of solutes, is the most commonly used renal replacement therapy for those who need dialysis. Blood pressure (BP) variation is frequently encountered and is associated with most complications during regular hemodialysis (HD)[1] Both intradialysis hypotension and hypertension have strong implications for adverse outcomes, including increased cardiovascular events and overall morbidity and mortality[2,3,4,5]. Patients with hypotension might experience muscle cramps, nausea, vomiting, yawning, sighing, lightheadedness and hoarseness before the decline in BP18 These symptoms are overlooked during the regular dialysis process. This study is the largest to date to introduce the concept of HD big data in the field of hemodialysis In the future, this valuable data set may be used to develop an intelligent early-warning system capable of predicting BP changes, setting optimal dialysate parameters, and providing timely and individualized suggestions regarding dialysis settings
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