Evidence map›Paper›PMID 32693214›Full record

Trial reportThe journal of allergy and clinical immunology. In practice

Biomarkers of Type 2 Airway Inflammation as Predictors of Loss of Asthma Control During Step-Down Therapy for Well-Controlled Disease: The Long-Acting Beta-Agonist Step-Down Study (LASST).

Sonali Bose, Christian Bime, Robert J Henderson, Kathryn V Blake, Mario Castro, Emily DiMango, Nicola A Hanania, Janet T Holbrook, Charles G Irvin, Monica Kraft and 7 more

Open access · greenAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in The journal of allergy and clinical immunology. In practice. 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
0.8field-weighted citation impact, top 28% 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, 9 citations in OpenAlex.

  1. Article
  2. A prediction model for asthma exacerbations after stopping asthma biologics.Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology · 2023
    Article
  3. Article
  4. Promising treatment biomarkers in asthma.Frontiers in drug safety and regulation · 2023
    Review
  5. Article
  6. 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

17 authors at 10 institutions in 1 country.

Sonali BoseIcahn School of Medicine at Mount Sinai, New York, NY; Johns Hopkins School of Medicine, Baltimore, Md.
Christian BimeUniversity of Arizona College of Medicine, Tucson, Ariz.
Robert J HendersonJohns Hopkins School of Medicine, Baltimore, Md.
Kathryn V BlakeNemours Children's Health System, Jacksonville, Fla.
Mario CastroWashington University School of Medicine, St Louis, Mo.
Emily DiMangoColumbia University College of Physicians and Surgeons, New York, NY.
Nicola A HananiaBaylor College of Medicine, Houston, Texas.
Janet T HolbrookJohns Hopkins School of Medicine, Baltimore, Md.
Charles G IrvinUniversity of Vermont, Burlington, Vt.
Monica KraftUniversity of Arizona College of Medicine, Tucson, Ariz.
Stephen P PetersWake Forest University School of Medicine, Winston-Salem, NC.
Joan ReibmanNew York University School of Medicine, New York, NY.
Elizabeth A SugarJohns Hopkins Bloomberg School of Public Health, Baltimore, Md.
Kaharu SuminoWashington University School of Medicine, St Louis, Mo.
Robert A WiseJohns Hopkins School of Medicine, Baltimore, Md.
Linda RogersIcahn School of Medicine at Mount Sinai, New York, NY. Electronic address: linda.rogers@mssm.edu.
American Lung Association Airways Clinical Research Centers
Johns Hopkins University · USIcahn School of Medicine at Mount Sinai · USUniversity of Arizona · USWashington University in St. Louis · USBaylor College of Medicine · USColumbia University · USNemours Children's Health System · USNew York University · USUniversity of Vermont · USWake Forest University · US

Funding

RADx-UP: Improving the Response of Local Urban and Rural Communities to Disparities in Covid-19 TestingUL1TR002366 · NCATS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Mario Castro, JAMES STEVEN LEEDER · 2017 to 2026
$44.3M
Study of Asthma and Nasal Steroids Trial-An ancillary mechanistic studyF32AI091274 · NIAID · JOHNS HOPKINS UNIVERSITY · PI BIME, CHRISTIAN · 2010 to 2011
$119k
NCATS NIH HHS UL1 TR002366
6 · The paper itself

Abstract

backgroundBiomarkers that can predict loss of asthma control among patients being considered for step-down therapy in well-controlled disease are lacking.

objectiveTo evaluate whether baseline biomarkers of type 2 airway inflammation and/or serial measurement of fractional exhaled nitric oxide (Feno) predict loss of asthma control as therapy is stepped down.

methodsIn subanalyses of a multicenter randomized, double-blind, parallel 3-arm trial comparing strategies for step-down therapy in well-controlled asthma (Long-Acting Beta-Agonist Step-Down Study), we assessed whether baseline atopy as determined by serum aeroallergen allergy screening test (Phadiatop), baseline serum eosinophil peroxidase, or baseline or serial Feno measurements during follow-up predicted the time to loss of asthma control among participants. Loss of asthma control was defined in the study protocol. We analyzed these associations in adjusted models including all participants, after testing for interactions with assignment to each of the 3 treatment groups (continuation of stable dose of combination inhaled corticosteroid-long-acting beta-agonist, step-down of inhaled corticosteroid, or discontinuation of long-acting bronchodilator).

resultsFour hundred forty-seven of the 553 Long-Acting Beta-Agonist Step-Down Study participants who were randomized to 1 of 3 treatment arms and had at least 1 biomarker measurement were included in this analysis. At baseline, higher levels of Feno were significantly associated with greater levels of multiallergen IgE levels (P < .001), but not with serum eosinophil peroxidase (P = .742). Among all participants as a group, elevations in baseline biomarkers were not predictive of a higher risk of treatment failure. In addition, Feno levels measured serially at 6-week intervals demonstrated that compared with participants with low levels (<25 parts per billion), those with intermediate (25-50 parts per billion) and high (>50 parts per billion) levels did not have significantly increased likelihood of subsequent treatment failure (hazard ratios, 1.03 [95% CI, 0.59-1.78] and 1.29 [95% CI, 0.65-2.54], respectively). There were no significant interactions of treatment group and baseline biomarkers.

conclusionsIn patients with well-controlled asthma, neither baseline levels of type 2 airway inflammatory biomarkers nor serial measures of Feno are strong predictors of treatment failure.

Indexed as

AsthmaBiomarkersBreath TestsExhalationHumansInflammationNitric OxideBiomarkersNitric OxideAsthmaBiomarkersEosinophil peroxidaseFractional exhaled nitric oxideIgEStep-down therapy

Identifiers

PMID32693214
PMCPMC8026280
OpenAlexW3042261979

What OpenQuestion holds

Textmetadata
LicenceTDM
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.