title: An electrocardiogram-based method for early detection of abrupt changes in blood pressure during hemodialysis.
abstract: Clinical techniques for early detection of acute hypotension during conventional hemodialysis treatment are lacking, even though intradialytic hypotension is the most common acute complication. In this article, intradialytic hypotension is identified by means of signal analysis of data recorded at two clinics. The database consists of 30 treatments with concurrently acquired signals: the 12-lead electrocardiogram, continuous blood pressure, hematocrit, oxygen saturation, relative blood volume, and important hemodialysis variables. This article presents two characteristics, a heart rate turbulence (HRT) measure called turbulence slope (TS), and the LF/HF ratio, which provide information, at the beginning of hemodialysis treatment, on the patient's propensity to hypotension (TS: p = 0.0038, and LF/HF ratio: p = 0.0028). The authors also present a novel dynamic echocardiography-based method for detecting intradialytic hypotension using complementary information on heart rate variability (HRV) and ectopic beat patterns. These two types of information reflect different mechanisms of cardiac activity. It is essential that both types are used for the detection of hypotension, because HRV analysis is inappropriate when several ectopic beats are present. The proposed dynamic echocardiography-based method offers early identification of the cases with acute intradialytic hypotension of the database.
authors.affiliation: Signal Processing Group, Department of Electroscience, Lund University, Lund, Sweden.
authors.forename: Kristian
authors.initials: K
authors.lastname: Solem
authors.forename: Anders
authors.initials: A
authors.lastname: Nilsson
authors.forename: Leif
authors.initials: L
authors.lastname: Sörnmo
mesh_terms: D000368:Aged; D001794:Blood Pressure; D004452:Echocardiography; D004562:Electrocardiography; D005260:Female; D006339:Heart Rate; D006801:Humans; D007022:Hypotension / Q000175:diagnosis / Q000209:etiology / Q000503:physiopathology; D008297:Male; D008875:Middle Aged; D006435:Renal Dialysis / Q000009:adverse effects*; D012815:Signal Processing, Computer-Assisted