ArticleCritical care (London, England)2014
Multi-scale symbolic entropy analysis provides prognostic prediction in patients receiving extracorporeal life support.
Article in Critical care (London, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed, 41 citations in OpenAlex.
- Complexity-Based Measures of Heart Rate Dynamics in Older Adults Following Long- and Short-Term Tai Chi Training: Cross-sectional and Randomized Trial Studies.Scientific reports · 2019Trial
- Heart rhythm complexity analysis in patients with inferior ST-elevation myocardial infarction.Scientific reports · 2023Article
- Nonlinear Heart Rate Dynamics Before and After Paroxysmal Atrial Fibrillation Events.Acta Cardiologica Sinica · 2022Article
- Blood Pressure Complexity Discriminates Pathological Beat-to-Beat Variability as a Marker of Vascular Aging.Journal of the American Heart Association · 2022Article
- [Investigation on new paradigm of clinical physiological monitoring by using wearable devices].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2021Article
- The Association Between Short-term Exposure to Ambient Air Pollution and Patient-Level Home Blood Pressure Among Patients With Chronic Cardiovascular Diseases in a Web-Based Synchronous Telehealth Care Program: Retrospective Study.JMIR public health and surveillance · 2021Article
- Composite Multiscale Cross-Sample Entropy Analysis for Long-Term Structural Health Monitoring of Residential Buildings.Entropy (Basel, Switzerland) · 2020Article
- Heart rhythm complexity as predictors for the prognosis of end-stage renal disease patients undergoing hemodialysis.BMC nephrology · 2020Article
- Usefulness of heart rhythm complexity in heart failure detection and diagnosis.Scientific reports · 2020Article
- Mechanical circulatory support in refractory cardiogenic shock due to influenza virus-related myocarditis.The European respiratory journal · 2020Observational
- Heart Rhythm Complexity Predicts Long-Term Cardiovascular Outcomes in Peritoneal Dialysis Patients: A Prospective Cohort Study.Journal of the American Heart Association · 2020Article
- Heart Rhythm Complexity Impairment in Patients with Pulmonary Hypertension.Scientific reports · 2019Article
- Performance Evaluation of an Entropy-Based Structural Health Monitoring System Utilizing Composite Multiscale Cross-Sample Entropy.Entropy (Basel, Switzerland) · 2019Article
- The association between heart rhythm complexity and the severity of abdominal aorta calcification in peritoneal dialysis patients.Scientific reports · 2018Article
- An open source benchmarked toolbox for cardiovascular waveform and interval analysis.Physiological measurement · 2018Article
- Complexity of Wake Electroencephalography Correlates With Slow Wave Activity After Sleep Onset.Frontiers in neuroscience · 2018Article
- Serial heart rhythm complexity changes in patients with anterior wall ST segment elevation myocardial infarction.Scientific reports · 2017Article
- Heart rhythm complexity impairment in patients undergoing peritoneal dialysis.Scientific reports · 2016Article
- Reversible heart rhythm complexity impairment in patients with primary aldosteronism.Scientific reports · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionExtracorporeal life support (ECLS) can temporarily support cardiopulmonary function, and is occasionally used in resuscitation. Multi-scale entropy (MSE) derived from heart rate variability (HRV) is a powerful tool in outcome prediction of patients with cardiovascular diseases. Multi-scale symbolic entropy analysis (MSsE), a new method derived from MSE, mitigates the effect of arrhythmia on analysis. The objective is to evaluate the prognostic value of MSsE in patients receiving ECLS. The primary outcome is death or urgent transplantation during the index admission.
methodsFifty-seven patients receiving ECLS less than 24 hours and 23 control subjects were enrolled. Digital 24-hour Holter electrocardiograms were recorded and three MSsE parameters (slope 5, Area 6-20, Area 6-40) associated with the multiscale correlation and complexity of heart beat fluctuation were calculated.
resultsPatients receiving ECLS had significantly lower value of slope 5, area 6 to 20, and area 6 to 40 than control subjects. During the follow-up period, 29 patients met primary outcome. Age, slope 5, Area 6 to 20, Area 6 to 40, acute physiology and chronic health evaluation II score, multiple organ dysfunction score (MODS), logistic organ dysfunction score (LODS), and myocardial infarction history were significantly associated with primary outcome. Slope 5 showed the greatest discriminatory power. In a net reclassification improvement model, slope 5 significantly improved the predictive power of LODS; Area 6 to 20 and Area 6 to 40 significantly improved the predictive power in MODS. In an integrated discrimination improvement model, slope 5 added significantly to the prediction power of each clinical parameter. Area 6 to 20 and Area 6 to 40 significantly improved the predictive power in sequential organ failure assessment.
conclusionsMSsE provides additional prognostic information in patients receiving ECLS.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.