Evidence map›Paper›PMID 32153798›Full record

ArticleCanadian journal of kidney health and disease2020

Utility of Rapid Influenza Molecular Testing in an Outpatient Hemodialysis Unit: A Prospective Cohort Study.

Matthew Kadatz, Michael Payne, Mercedeh Kiaii, Marc G Romney, Loretta Karakas, Tanya Lawson, Stan Marchuk, John Gill, Christopher F Lowe

Abstract read
In one paragraph

Article in Canadian journal of kidney health and disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Impact of multiplexed respiratory viral panels on infection control measures and antimicrobial stewardship: a review of the literature.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2022
    Review
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.

Matthew KadatzDivision of Nephrology, The University of British Columbia, Vancouver, Canada.ORCID https://orcid.org/0000-0003-1119-9724
Michael PayneDepartment of Pathology and Laboratory Medicine, The University of British Columbia, Vancouver, Canada.
Mercedeh KiaiiDivision of Nephrology, The University of British Columbia, Vancouver, Canada.
Marc G RomneyDepartment of Pathology and Laboratory Medicine, The University of British Columbia, Vancouver, Canada.
Loretta KarakasMedical Microbiology and Virology, St. Paul's Hospital, Providence Health Care, Vancouver, British Columbia, Canada.
Tanya LawsonMedical Microbiology and Virology, St. Paul's Hospital, Providence Health Care, Vancouver, British Columbia, Canada.
Stan MarchukDivision of Nephrology, The University of British Columbia, Vancouver, Canada.
John GillDivision of Nephrology, The University of British Columbia, Vancouver, Canada.
Christopher F LoweDepartment of Pathology and Laboratory Medicine, The University of British Columbia, Vancouver, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly initiation of antiviral therapy for individuals at risk for severe influenza infection is important for improving patient outcomes. Current guidelines recommend empiric antiviral therapy for patients with end-stage kidney disease presenting with suspected influenza infection. Rapid molecular influenza assays may reduce diagnostic uncertainty and improve patient outcomes by providing faster diagnostics compared to traditional batched polymerase chain reaction (PCR) testing.

objectiveTo determine the utility of implementing a rapid influenza PCR assay compared to the standard of care in a hemodialysis unit.

designThis is a prospective cohort study.

settingA hospital-based dialysis unit in a tertiary care hospital. PATIENTS: Adult patients with end-stage kidney disease on intermittent hemodialysis. MEASUREMENTS: Patient characteristics, influenza PCR swab results, antibiotic prescriptions, antiviral prescriptions, emergency room visits and hospitalizations.

methodsFrom November 1, 2017 to March 31, 2018, we assigned samples collected from a single center, hemodialysis unit to be processed using a rapid influenza PCR (cobas® Influenza A/B & respiratory syncytial virus assay) or the standard of care (in-house developed multiplex PCR). Samples were assigned to the rapid PCR if the patient received dialysis treatment in the morning dialysis shift, while the remainder were processed as per standard of care. Study outcomes included the time from collection to result of nasopharyngeal swab, prescription of influenza antiviral therapy, time to receiving prescription, and the need for emergency department visit or hospitalization within 2 weeks of presentation.

resultsDuring the study period, 44 patients were assessed (14 with the rapid PCR and 30 with the standard of care assay). Compared to conventional testing, the time to result was shorter using rapid PCR compared to conventional testing (2.3 vs 22.6 hours, LIMITATIONS: This is a single center non-randomized study with a relatively small sample size. Patients who were tested using the standard of care assay experienced a delay in the prescription of antiviral therapy which deviates from recommended clinical practice.

conclusionsRapid influenza molecular testing in the hemodialysis unit was associated with a shorter time to a reportable result and with a tendency to reduced time to prescription of antiviral therapy. Rapid molecular testing should be compared with standard of care (empiric therapy) in terms of economic costs, adverse events, and influenza-related outcomes.

Indexed as

hemodialysisinfluenzanasopharyngeal swabrapid influenza PCR

Identifiers

PMID32153798
PMCPMC7045293

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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.