Evidence map›Paper›PMID 32760341›Full record

ArticleFrontiers in neurology2020

Pilot Observational Study to Detect Diurnal Variation and Misalignment in Heart Rate Among Critically Ill Patients.

Melissa P Knauert, Terrence E Murphy, Margaret M Doyle, Margaret A Pisani, Nancy S Redeker, Henry K Yaggi

Abstract read
In one paragraph

Article in Frontiers in neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. A SAS macro for multilevel Cosinor analysis.Computer methods and programs in biomedicine · 2026
    Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. A SAS macro for modelling periodic data using cosinor analysis.Computer methods and programs in biomedicine · 2021
    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

6 authors.

Melissa P KnauertSection of Pulmonary, Critical Care, and Sleep Medicine, Yale School of Medicine, New Haven, CT, United States.
Terrence E MurphySection of Geriatrics, Yale School of Medicine, New Haven, CT, United States.
Margaret M DoyleSection of Geriatrics, Yale School of Medicine, New Haven, CT, United States.
Margaret A PisaniSection of Pulmonary, Critical Care, and Sleep Medicine, Yale School of Medicine, New Haven, CT, United States.
Nancy S RedekerYale School of Nursing, West Haven, CT, United States.
Henry K YaggiSection of Pulmonary, Critical Care, and Sleep Medicine, Yale School of Medicine, New Haven, CT, United States.

Funding

Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Albert C Shaw · 2002 to 2026
$37.9M
Yale University Clinical and Translational Science Award ProgramKL2TR000140 · NCATS · YALE UNIVERSITY · PI SHERWIN, ROBERT S · 2012 to 2015
$2.9M
Circadian Rhythm as a Novel Therapeutic Target in the Intensive Care UnitK23HL138229 · NHLBI · YALE UNIVERSITY · PI KNAUERT, MELISSA P · 2018 to 2021
$746k
Mentoring in Sleep Research and Sleep Interventions in Heart Disease, and StrokeK24HL132093 · NHLBI · YALE UNIVERSITY · PI YAGGI, HENRY KLAR · 2016 to 2020
$336k
NCATS NIH HHS KL2 TR000140NHLBI NIH HHS K23 HL138229NHLBI NIH HHS K24 HL132093NIA NIH HHS P30 AG021342
6 · The paper itself

Abstract

Circadian disruption is common in critically ill patients admitted to the intensive care unit (ICU). Understanding and treating circadian disruption in critical illness has significant potential to improve critical illness outcomes through improved cognitive, immune, cardiovascular, and metabolic function. Measurement of circadian alignment (i.e., circadian phase) can be resource-intensive as it requires frequent blood or urine sampling over 24 or more hours. Less cumbersome methods of assessing circadian alignment would advance investigations in this field. Thus, the objective of this study is to examine the feasibility of using continuous telemetry to assess diurnal variation in heart rate (HR) among medical ICU patients as a proxy for circadian alignment. In exploratory analyses, we tested for associations between misalignment of diurnal variation in HR and death during hospital admission. This was a prospective observational cohort study embedded within a prospective medical ICU biorepository. HR data were continuously collected (every 5 s) via telemetry systems for the duration of the medical ICU admission; the first 24 h of this data was analyzed. Patients were extensively characterized via medical record chart abstraction and patient interviews. Of the 56 patients with complete HR data, 48 (86%) had a detectable diurnal variation. Of these patients with diurnal variation, 39 (81%) were characterized as having the nadir of their HR outside of the normal range of 02:00-06:00 ("misalignment"). Interestingly, no deaths occurred in the patients with normally aligned diurnal variation; in contrast, there were seven deaths (out of 39 patients) in patients who had misaligned diurnal variation in HR. In an exploratory analysis, we found that the odds ratio of death for misaligned vs. aligned patients was increased at 4.38; however, this difference was not statistically significant (95% confidence interval 0.20-97.63). We conclude that diurnal variation in HR can be detected via continuous telemetric monitoring of critically ill patients. A majority of these patients with diurnal variation exhibited misalignment in their first 24 h of medical ICU admission. Exploratory analyses suggest possible associations between misalignment and death.

Indexed as

circadiancritical illnessdiurnalheart rateintensive care unitmisalignmentsleep

Identifiers

PMID32760341
PMCPMC7373742

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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.