Evidence map›Paper›PMID 38531670›Full record

ArticleSleep2024

Heart rate variability analysis in obstructive sleep apnea patients with daytime sleepiness.

Seren Ucak, Hasthi U Dissanayake, Philip de Chazal, Yu Sun Bin, Kate Sutherland, Bianca Setionago, Benjamin Tong, Brendon J Yee, Kristina Kairaitis, John R Wheatley and 3 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sleep, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.8field-weighted citation impact, top 4% of its field
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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
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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

13 authors at 1 institution in 1 country.

Seren UcakCharles Perkins Centre and Northern Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.ORCID 0000-0002-0002-741X
Hasthi U DissanayakeCharles Perkins Centre and Northern Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.ORCID 0000-0001-8349-4066
Philip de ChazalCharles Perkins Centre and Northern Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.ORCID 0000-0002-2091-207X
Yu Sun BinCharles Perkins Centre and Northern Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.ORCID 0000-0002-4954-2658
Kate SutherlandCharles Perkins Centre and Northern Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.ORCID 0000-0001-6106-7303
Bianca SetionagoCharles Perkins Centre and Northern Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.ORCID 0009-0002-3186-8657
Benjamin TongCharles Perkins Centre and Northern Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.ORCID 0000-0003-0554-5221
Brendon J YeeSydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.ORCID 0000-0002-2196-8649
Kristina KairaitisSydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.ORCID 0000-0002-8808-3183
John R WheatleySydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.ORCID 0000-0002-1605-8843
Amanda J PiperSydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.
Peter A CistulliCharles Perkins Centre and Northern Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.ORCID 0000-0002-7920-4924
Sydney Sleep Biobank Investigators
The University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objectivesRecent studies suggest that sleepy patients with obstructive sleep apnea (OSA) are at higher risk for incident cardiovascular disease. This study assessed cardiac autonomic function in sleepy versus non-sleepy patients with OSA using heart rate variability (HRV) analysis. We hypothesized that HRV profiles of sleepy patients would indicate higher cardiovascular risk.

methodsElectrocardiograms (ECG) derived from polysomnograms (PSG) collected by the Sydney Sleep Biobank were used to study HRV in groups of sleepy (ESS ≥ 10) and non-sleepy OSA patients (ESS < 10). HRV parameters were averaged across available ECG signals during N2 sleep.

resultsA total of 421 patients were evaluated, with a mean age of 54 (14) years, body mass index of 33 (9) kg/m2, apnea-hypopnea index of 21 (28) events/h, and 66% male. The sleepy group consisted of 119 patients and the non-sleepy group 302 patients. Sleepy patients exhibited lower HRV values for: root mean square successive difference (RMSSD, p = 0.028), total power (TP, p = 0.031), absolute low frequency (LF, p = 0.045), and high-frequency (HF, p = 0.010) power compared to non-sleepy patients. Sleepy patients with moderate-to-severe OSA exhibited lower HRV values for: (RMSSD, p = 0.045; TP, p = 0.052), absolute LF (p = 0.051), and HF power (p = 0.025). There were no differences in other time and frequency domain HRV markers.

conclusionsThis study shows a trend toward parasympathetic withdrawal in sleepy OSA patients, particularly in moderate-to-severe cases, lending mechanistic support to the link between the sleepy phenotype and CVD risk in OSA.

Indexed as

ElectrocardiographyHeart RatePolysomnographySleep Apnea, ObstructiveAdultAutonomic Nervous SystemDisorders of Excessive SomnolenceFemaleHumansMaleMiddle Agedautonomic nervous systemcardiovascular riskexcessive daytime sleepinessheart rate variabilityobstructive sleep apnea

Identifiers

PMID38531670
PMCPMC11168755
OpenAlexW4394753222

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.