Evidence map›Paper›PMID 24356038›Full record

ArticleClinical nephrology2014

Relationship between heart rate variability and pulse wave velocity and their association with patient outcomes in chronic kidney disease.

Preeti Chandra, Robin L Sands, Brenda W Gillespie, Nathan W Levin, Peter Kotanko, Margaret Kiser, Fredric Finkelstein, Alan Hinderliter, Sanjay Rajagopalan, David Sengstock and 1 more

Abstract read
In one paragraph

Article in Clinical nephrology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Observational
  9. Article
  10. Article
  11. Article
  12. Review
  13. Chronic Kidney Disease and Pulse Wave Velocity: A Narrative Review.International journal of hypertension · 2019
    Review
  14. Article
  15. Article
  16. Observational
  17. Article
  18. Article
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

11 authors.

Preeti ChandraDepartment of Internal Medicine, University of Maryland, Baltimore, MD, University of Michigan-Kidney Epidemiology and Cost Center, Ann Arbor, MI, Renal Research Institute, New York, NY, Department of Internal Medicine, University of North Carolina, Chapel Hill, NC, Hospital of St. Raphael Yale University, New Haven, CT, Department of Internal Medicine, University of North Carolina, Chapel Hill, NC, Department of Cardiovascular Medicine, Ohio State University, Columbus, OH, Oakwood Healthcare System, Dearborn, MI, and Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
Robin L Sands
Brenda W Gillespie
Nathan W Levin
Peter Kotanko
Margaret Kiser
Fredric Finkelstein
Alan Hinderliter
Sanjay Rajagopalan
David Sengstock
Rajiv Saran

Funding

MICHIGAN INSTITUTE FOR CLINICAL AND HEALTH RESEARCH (MICHR) (UL1): (BPCA)UL1RR024986 · NCRR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SHANLEY, THOMAS P. · 2007 to 2011
$51.2M
ESTABLISHING A SURVEILLANCE SYSTEM FOR CHRONIC KIDNEY DISEASE-COMPONENT 1U58DP003836 · DP · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SARAN, RAJIV · 2011 to 2014
$1.8M
NCCDPHP CDC HHS 1U58DP003836NCRR NIH HHS UL1RR024986
6 · The paper itself

Abstract

backgroundArterial stiffness and low heart rate variability (HRV) have each been associated with increased cardiovascular risk in a variety of patient populations. We explored the relationship between HRV and pulse wave velocity (PWV measure of arterial stiffness) in patients with chronic kidney disease (CKD prior to ESRD) along with examining their association with the outcomes of cardiovascular disease (CVD), death, and progression to end stage renal disease (ESRD).

methodsThe RRI-CKD Study is a 4-center prospective cohort study of CKD stages 3 - 5 (n = 834). A subset underwent both HRV testing by 24-hour Holter and carotid-femoral PWV (n = 240). Multiple linear regression was used to assess predictors of PWV and Cox regression to investigate the association of HRV and PWV with time to first CVD event or death and ESRD.

resultsAlthough several HRV measures were inversely correlated with PWV, this association was attenuated after adjustment for age and/or diabetes and no longer significant after adjustment for C-reactive protein. Low HRV and high PWV were individually associated with increased risk of the composite endpoint of CVD/death in multivariable analysis. The risk of the composite of CVD/death was highest for patients with both low HRV and high PWV.

conclusionAge, diabetes, and inflammation together explained the inverse association between HRV and PWV. Inflammation may play a role in the pathogenesis of both low HRV and high PWV. The combination of low HRV and high PWV showed the strongest association with a composite CVD outcome. Mechanisms underlying abnormalities in PWV and HRV, and the role of these measures as intermediate outcomes in future trials in CKD patients, merit further study.

Indexed as

Pulse Wave AnalysisAdultAgedCardiovascular DiseasesC-Reactive ProteinFemaleHeart RateHumansLinear ModelsMaleMiddle AgedProportional Hazards ModelsRenal Insufficiency, ChronicC-Reactive Protein

Identifiers

PMID24356038
PMCPMC4504149

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Registered trials

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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.