Electrocardiogram characteristics prior to in-hospital cardiac arrest
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| 024 | 7 | 0 | |a 10.1007/s10877-014-9616-0 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s10877-014-9616-0 | ||
| 245 | 0 | 0 | |a Electrocardiogram characteristics prior to in-hospital cardiac arrest |h [Elektronische Daten] |c [Mina Attin, Gregory Feld, Hector Lemus, Kayvan Najarian, Sharad Shandilya, Lu Wang, Pouya Sabouriazad, Chii-Dean Lin] |
| 520 | 3 | |a Survival after in-hospital cardiac arrest (I-HCA) remains < 30%. There is very limited literature exploring the electrocardiogram changes prior to I-HCA. The purpose of the study was to determine demographics and electrocardiographic predictors prior to I-HCA. A retrospective study was conducted among 39 cardiovascular subjects who had cardiopulmonary resuscitation from I-HCA with initial rhythms of pulseless electrical activity (PEA) and asystole. Demographics including medical history, ejection fraction, laboratory values, and medications were examined. Electrocardiogram (ECG) parameters from telemetry were studied to identify changes in heart rate, QRS duration and morphology, and time of occurrence and location of ST segment changes prior to I-HCA. Increased age was significantly associated with failure to survive to discharge (p<0.05). Significant change was observed in heart rate including a downtrend of heart rate within 15min prior to I-HCA (p<0.05). There was a significant difference in heart rate and QRS duration during the last hour prior to I-HCA compared to the previous hours (p<0.05). Inferior ECG leads showed the most significant changes in QRS morphology and ST segments prior to I-HCA (p<0.05). Subjects with an initial rhythm of asystole demonstrated significantly greater ECG changes including QRS morphology and ST segment changes compared to the subjects with initial rhythms of PEA (p<0.05). Diagnostic ECG trends can be identified prior to I-HCA due to PEA and asystole and can be further utilized for training a predictive machine learning model for I-HCA. | |
| 540 | |a The Author(s), 2014 | ||
| 690 | 7 | |a In-hospital cardiac arrest |2 nationallicence | |
| 690 | 7 | |a Asystole |2 nationallicence | |
| 690 | 7 | |a Pulseless electrical activity |2 nationallicence | |
| 690 | 7 | |a Electrocardiogram |2 nationallicence | |
| 700 | 1 | |a Attin |D Mina |u School of Nursing, San Diego State University, 5500 Campanile Drive, 92182, San Diego, CA, USA |4 aut | |
| 700 | 1 | |a Feld |D Gregory |u Department of Medicine, Cardiology Division, Electrophysiology Section, University of California, San Diego, San Diego, CA, USA |4 aut | |
| 700 | 1 | |a Lemus |D Hector |u School of Public Health, San Diego State University, San Diego, CA, USA |4 aut | |
| 700 | 1 | |a Najarian |D Kayvan |u Department of Computational Medicine and Bioinformatics, Michigan Center for Integrative Research in Critical Care, University of Michigan, Ann Arbor, MI, USA |4 aut | |
| 700 | 1 | |a Shandilya |D Sharad |u SciCore Technology, Richmond, VA, USA |4 aut | |
| 700 | 1 | |a Wang |D Lu |u Department of Bioengineering, College of Engineering, San Diego State University, San Diego, CA, USA |4 aut | |
| 700 | 1 | |a Sabouriazad |D Pouya |u Department of Bioengineering, College of Engineering, San Diego State University, San Diego, CA, USA |4 aut | |
| 700 | 1 | |a Lin |D Chii-Dean |u Department of Mathematics and Statistics, San Diego State University, San Diego, CA, USA |4 aut | |
| 773 | 0 | |t Journal of Clinical Monitoring and Computing |d Springer Netherlands |g 29/3(2015-06-01), 385-392 |x 1387-1307 |q 29:3<385 |1 2015 |2 29 |o 10877 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s10877-014-9616-0 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s10877-014-9616-0 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Attin |D Mina |u School of Nursing, San Diego State University, 5500 Campanile Drive, 92182, San Diego, CA, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Feld |D Gregory |u Department of Medicine, Cardiology Division, Electrophysiology Section, University of California, San Diego, San Diego, CA, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Lemus |D Hector |u School of Public Health, San Diego State University, San Diego, CA, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Najarian |D Kayvan |u Department of Computational Medicine and Bioinformatics, Michigan Center for Integrative Research in Critical Care, University of Michigan, Ann Arbor, MI, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Shandilya |D Sharad |u SciCore Technology, Richmond, VA, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Wang |D Lu |u Department of Bioengineering, College of Engineering, San Diego State University, San Diego, CA, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Sabouriazad |D Pouya |u Department of Bioengineering, College of Engineering, San Diego State University, San Diego, CA, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Lin |D Chii-Dean |u Department of Mathematics and Statistics, San Diego State University, San Diego, CA, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Journal of Clinical Monitoring and Computing |d Springer Netherlands |g 29/3(2015-06-01), 385-392 |x 1387-1307 |q 29:3<385 |1 2015 |2 29 |o 10877 | ||