Evidence map›Paper›PMID 24379785›Full record

ArticleFrontiers in physiology2013

Short-term vs. long-term heart rate variability in ischemic cardiomyopathy risk stratification.

Andreas Voss, Rico Schroeder, Montserrat Vallverdú, Steffen Schulz, Iwona Cygankiewicz, Rafael Vázquez, Antoni Bayés de Luna, Pere Caminal

Abstract read
In one paragraph

Article in Frontiers in physiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Andreas VossDepartment of Medical Engineering and Biotechnology, University of Applied Sciences Jena, Germany.
Rico SchroederDepartment of Medical Engineering and Biotechnology, University of Applied Sciences Jena, Germany.
Montserrat VallverdúBiomedical Engineering Research Centre, Universitat Politècnica de Catalunya Barcelona, Spain.
Steffen SchulzDepartment of Medical Engineering and Biotechnology, University of Applied Sciences Jena, Germany.
Iwona CygankiewiczDepartment of Electrocardiology, Sterling Memorial University Hospital Lodz, Poland.
Rafael VázquezServicio de Cardiología, Puerta del Mar University Hospital Cádiz, Spain.
Antoni Bayés de LunaInstitut Català Ciències Cardiovasculars, Hospital Sant Pau Barcelona, Spain.
Pere CaminalBiomedical Engineering Research Centre, Universitat Politècnica de Catalunya Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In industrialized countries with aging populations, heart failure affects 0.3-2% of the general population. The investigation of 24 h-ECG recordings revealed the potential of nonlinear indices of heart rate variability (HRV) for enhanced risk stratification in patients with ischemic heart failure (IHF). However, long-term analyses are time-consuming, expensive, and delay the initial diagnosis. The objective of this study was to investigate whether 30 min short-term HRV analysis is sufficient for comparable risk stratification in IHF in comparison to 24 h-HRV analysis. From 256 IHF patients [221 at low risk (IHFLR) and 35 at high risk (IHFHR)] (a) 24 h beat-to-beat time series (b) the first 30 min segment (c) the 30 min most stationary day segment and (d) the 30 min most stationary night segment were investigated. We calculated linear (time and frequency domain) and nonlinear HRV analysis indices. Optimal parameter sets for risk stratification in IHF were determined for 24 h and for each 30 min segment by applying discriminant analysis on significant clinical and non-clinical indices. Long- and short-term HRV indices from frequency domain and particularly from nonlinear dynamics revealed high univariate significances (p < 0.01) discriminating between IHFLR and IHFHR. For multivariate risk stratification, optimal mixed parameter sets consisting of 5 indices (clinical and nonlinear) achieved 80.4% AUC (area under the curve of receiver operating characteristics) from 24 h HRV analysis, 84.3% AUC from first 30 min, 82.2 % AUC from daytime 30 min and 81.7% AUC from nighttime 30 min. The optimal parameter set obtained from the first 30 min showed nearly the same classification power when compared to the optimal 24 h-parameter set. As results from stationary daytime and nighttime, 30 min segments indicate that short-term analyses of 30 min may provide at least a comparable risk stratification power in IHF in comparison to a 24 h analysis period.

Indexed as

daytimeheart rate variabilityischemic cardiomyopathylong-termnighttimenonlinear dynamicsrisk stratificationshort-term

Identifiers

PMID24379785
PMCPMC3862074

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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.