Evidence map›Paper›PMID 35388730›Full record

Trial reportBehavioral sleep medicine

Symptom Cluster Profiles Among Adults with Insomnia and Heart Failure.

Samantha Conley, Sangchoon Jeon, Stephen Breazeale, Meghan O'Connell, Christopher S Hollenbeak, Daniel Jacoby, Sarah Linsky, Henry Klar Yaggi, Nancy S Redeker

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Behavioral sleep medicine. 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
–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

6 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. 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

9 authors.

Samantha ConleyYale School of Nursing.ORCID 0000-0002-4501-5244
Sangchoon JeonYale School of Nursing.ORCID 0000-0003-2855-2053
Stephen BreazealeYale School of Nursing.ORCID 0000-0002-2228-0993
Meghan O'ConnellYale School of Nursing.
Christopher S HollenbeakDepartment Head of Health Policy and Administration, The Pennsylvania State University.ORCID 0000-0002-3362-814X
Daniel JacobyDepartment of Cardiovasular Medicine Yale School of Medicine.ORCID 0000-0002-9182-275X
Sarah LinskyYale School of Nursing.ORCID 0000-0002-4204-7881
Henry Klar YaggiDepartment of Cardiovasular Medicine Yale School of Medicine.ORCID 0000-0002-9888-2480
Nancy S RedekerYale School of Nursing.ORCID 0000-0001-7817-2708

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Rest Activity Rhythms and Cognitive Function in Stable Heart FailureR01NR016191 · NINR · YALE UNIVERSITY · PI REDEKER, NANCY S · 2015 to 2019
$3.6M
Yale Center for Sleep Disturbance in Acute and Chronic ConditionsP20NR014126 · NINR · YALE UNIVERSITY · PI REDEKER, NANCY S, YAGGI, HENRY KLAR · 2012 to 2016
$1.4M
NCATS NIH HHS UL1 TR001863NINR NIH HHS P20 NR014126NINR NIH HHS R01 NR016191
6 · The paper itself

Abstract

OBJECTIVE/

backgroundBoth heart failure (HF) and insomnia are associated with high symptom burden that may be manifested in clustered symptoms. To date, studies of insomnia have focused only on its association with single symptoms. The purposes of this study were to: (1) describe daytime symptom cluster profiles in adults with insomnia and chronic HF; and (2) determine the associations between demographic and clinical characteristics, insomnia and sleep characteristics and membership in symptom cluster profiles.

participantsOne hundred and ninety-five participants [

methodsWe analyzed baseline data, including daytime symptoms (fatigue, pain, anxiety, depression, dyspnea, sleepiness) and insomnia (Insomnia Severity Index), and sleep characteristics (Pittsburgh Sleep Quality Index, wrist actigraphy). We conducted latent class analysis to identify symptom cluster profiles, bivariate associations, and multinomial regression.

resultsWe identified three daytime symptom cluster profiles, physical (N = 73 participants; 37.4%), emotional (N = 12; 5.6%), and all-high symptoms (N = 111; 56.4%). Body mass index, beta blockers, and insomnia severity were independently associated with membership in the all-high symptom profile, compared with the other symptom profile groups.

conclusionsHigher symptom burden is associated with more severe insomnia in people with stable HF. There is a need to understand whether treatment of insomnia improves symptom burden as reflected in transition from symptom cluster profiles reflecting higher to lower symptom burden.

Indexed as

Cognitive Behavioral TherapyHeart FailureSleep Initiation and Maintenance DisordersActigraphyAdultFemaleHumansMaleMiddle AgedSyndrome

Identifiers

PMID35388730
PMCPMC9537348

What OpenQuestion holds

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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.