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Novel Bloodless Potassium Determination Using a Signal‐Processed Single‐Lead ECG
- Source :
- Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
- Publication Year :
- 2016
- Publisher :
- Ovid Technologies (Wolters Kluwer Health), 2016.
-
Abstract
- Background Hyper‐ and hypokalemia are clinically silent, common in patients with renal or cardiac disease, and are life threatening. A noninvasive, unobtrusive, blood‐free method for tracking potassium would be an important clinical advance. Methods and Results Two groups of hemodialysis patients (development group, n=26; validation group, n=19) underwent high‐resolution digital ECG recordings and had 2 to 3 blood tests during dialysis. Using advanced signal processing, we developed a personalized regression model for each patient to noninvasively calculate potassium values during the second and third dialysis sessions using only the processed single‐channel ECG . In addition, by analyzing the entire development group's first‐visit data, we created a global model for all patients that was validated against subsequent sessions in the development group and in a separate validation group. This global model sought to predict potassium, based on the T wave characteristics, with no blood tests required. For the personalized model, we successfully calculated potassium values with an absolute error of 0.36±0.34 mmol/L (or 10% of the measured blood potassium). For the global model, potassium prediction was also accurate, with an absolute error of 0.44±0.47 mmol/L for the training group (or 11% of the measured blood potassium) and 0.5±0.42 for the validation set (or 12% of the measured blood potassium). Conclusions The signal‐processed ECG derived from a single lead can be used to calculate potassium values with clinically meaningful resolution using a strategy that requires no blood tests. This enables a cost‐effective, noninvasive, unobtrusive strategy for potassium assessment that can be used during remote monitoring.
- Subjects :
- Adult
Male
medicine.medical_specialty
Pathology
Time Factors
Hyperkalemia
medicine.medical_treatment
Potassium
chemistry.chemical_element
Hypokalemia
Diagnostic Testing
030204 cardiovascular system & hematology
Signal
Electrocardiography
03 medical and health sciences
0302 clinical medicine
Predictive Value of Tests
Renal Dialysis
Internal medicine
medicine
Humans
Arrhythmia and Electrophysiology
waves
Prospective Studies
030212 general & internal medicine
Dialysis
Original Research
Aged
medicine.diagnostic_test
business.industry
potassium
Reproducibility of Results
Signal Processing, Computer-Assisted
Middle Aged
electrophysiology
chemistry
Predictive value of tests
Cardiology
Regression Analysis
Female
Hemodialysis
medicine.symptom
Cardiology and Cardiovascular Medicine
business
Algorithms
Biomarkers
Subjects
Details
- ISSN :
- 20479980
- Volume :
- 5
- Database :
- OpenAIRE
- Journal :
- Journal of the American Heart Association
- Accession number :
- edsair.doi.dedup.....3fd21466c65e9bf33c484288263fd6d8
- Full Text :
- https://doi.org/10.1161/jaha.115.002746