Evidence map›Paper›PMID 38572395›Full record

ArticleKidney medicine2024

Arrhythmia and Time of Day in Maintenance Hemodialysis: Secondary Analysis of the Monitoring in Dialysis Study.

Qandeel H Soomro, Bruce A Koplan, Alexandru I Costea, Prabir Roy-Chaudhury, James A Tumlin, Vijay Kher, Don E Williamson, Saurabh Pokhariyal, Candace K McClure, David M Charytan and 1 more

Open access · goldAbstract read
In one paragraph

Article in Kidney medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

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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

11 authors at 8 institutions in 2 countries.

Qandeel H SoomroNephrology Division, Department of Medicine, NYU Langone Medical Center, New York, New York.
Bruce A KoplanBrigham & Women's Hospital, Boston, Massachusetts.
Alexandru I CosteaUniversity of Cincinnati School of Medicine, Cincinnati, Ohio.
Prabir Roy-ChaudhuryUniversity of North Carolina Kidney Center, Chapel Hill, North Carolina.
James A TumlinGeorgia Nephrology Clinical Research Institute, Atlanta, Georgia.
Vijay KherFortis Escorts Kidney & Urology Institute, Fortis Escorts Hospital, New Delhi, India.
Don E WilliamsonSoutheastern Clinical Research Institute, Augusta, Georgia.
Saurabh PokhariyalManipal Hospital, Dwarka, New Delhi, India.
Candace K McClureNAMSA, Minneapolis, MN.
David M CharytanNephrology Division, Department of Medicine, NYU Langone Medical Center, New York, New York.
MiD Investigators
Clinical Research Institute · USNYU Langone Health · USBrigham and Women's Hospital · USFortis Escorts Hospital · INManipal Hospital · INUniversity of Cincinnati · USW. G. (Bill) Hefner VA Medical Center · USNational Alliance on Mental Illness · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rationale & Objective: The incidence of arrhythmia varies by time of day. How this affects individuals on maintenance dialysis is uncertain. Our objective was to quantify the relationship of arrhythmia with the time of day and timing of dialysis. Study Design: Secondary analysis of the Monitoring in Dialysis study, a multicenter prospective cohort study. Settings & Participants: Loop recorders were implanted for continuous cardiac monitoring in 66 participants on maintenance dialysis with a follow up of 6 months. Exposure: Time of day based on 6-hour intervals. Outcomes: Event rates of clinically significant arrhythmia. Analytical Approach: Negative binomial mixed effects regression models for repeated measures were used to evaluate data from the Monitoring in Dialysis study for differences in diurnal patterns of clinically significant arrhythmia among those with end-stage kidney disease with heart failure and end-stage kidney disease alone. We additionally analyzed rates according to presence of heart failure, time of dialysis shift, and dialysis versus nondialysis day. Results: Rates of clinically significant arrhythmia peaked between 12:00 AM and 5:59 AM and were more than 1.5-fold as frequent during this interval than the rest of the day. In contrast, variations in atrial fibrillation peaked between 6:00 AM and 11:59 AM, but variations across the day were qualitatively small. Clinically significant arrhythmia occurred at numerically higher rate in individuals with end-stage kidney disease and heart failure (5.9 events/mo; 95% CI, 1.3-26.8) than those without heart failure (4.0 events/mo; 95% CI, 0.9-17.9). Although differences in overall rate were not significant, their periodicity was significantly different ( Limitations: Post hoc analysis, unable to account for unmeasured confounders. Conclusion: Clinically significant arrhythmias showed strong diurnal patterns with a maximal peak between 12:00 AM and 5:59 AM and noon. Although overall arrhythmia rates were similar, the peak rate occurred overnight in individuals without heart failure and during the morning in individuals with heart failure. Further exploration of the influence of circadian rhythm on arrhythmia in the setting of hemodialysis is needed.

Indexed as

Arrhythmiaatrial fibrillationbradycardiacircadian rhythmdialysisend-stage kidney disease

Identifiers

PMID38572395
PMCPMC10987926
OpenAlexW4391957706

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.