Evidence map›Paper›PMID 27412347›Full record

ArticleBMC pulmonary medicine2016

Burden of asthma with elevated blood eosinophil levels.

Julian Casciano, Jerry A Krishnan, Mary Buatti Small, Philip O Buck, Gokul Gopalan, Chenghui Li, Robert Kemp, Zenobia Dotiwala

Abstract read
In one paragraph

Article in BMC pulmonary medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Persistent airway obstruction in severe eosinophilic asthma: targeting interleukin-5 and eosinophils.European respiratory review : an official journal of the European Respiratory Society · 2025
    Review
  3. Article
  4. PRevalence of the Eosinophilic Phenotype Among SeveRE asthma patients in Lebanon: results of the PREPARE study.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2023
    Article
  5. Article
  6. Review
  7. Can eosinophilia and neutrophil-lymphocyte ratio predict hospitalization in asthma exacerbation?Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2021
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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

8 authors.

Julian CascianoeMAX Health LLC, 445 Hamilton avenue, 11th floor, White Plains, NY, 10601, USA. juliancasciano@emaxhealth.net.
Jerry A KrishnanDivision of Pulmonary, Critical Care, Sleep, and Allergy, University of Illinois at Chicago, Chicago, IL, USA.
Mary Buatti SmallTeva, Frazer, PA, USA.
Philip O BuckTeva, Frazer, PA, USA.
Gokul GopalanTeva, Frazer, PA, USA.
Chenghui LiUniversity of Arkansas for Medical Sciences, Little Rock, AR, USA.
Robert KempeMAX Health LLC, 445 Hamilton avenue, 11th floor, White Plains, NY, 10601, USA.
Zenobia DotiwalaeMAX Health LLC, 445 Hamilton avenue, 11th floor, White Plains, NY, 10601, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAsthma is a common chronic condition with an economic burden of almost $56 billion annually in the US. Biologic markers like blood eosinophils, that help predict the risk of exacerbation could help guide more optimal treatment plans and reduce cost. The purpose of this study was to determine whether healthcare resource use and expenditures vary by eosinophil level among patients with asthma.

methodsPatients with a diagnosis of asthma defined by ICD-9-CM code 493.xx between January 2004 and July 2011 were extracted from EMRClaims + database (eMAX Health, White Plains NY). Patients were classified as mild, moderate, or severe by medication use following diagnosis, based on recommendations of National Institutes of Health Expert Panel Report 3. Patients were classified as those with elevated eosinophils (≥400 cells/μL) and normal eosinophil level (<400 cells/μL). Patients were followed for resource use, defined as hospitalizations, ER visits and outpatient visit and associated costs were calculated to assess whether an economic difference exists between eosinophil groups. Non-parametric tests were used to compare resource use and associated cost between elevated and normal eosinophil groups. Multivariate modeling was performed to assess the contribution of eosinophil level on the likelihood of study outcomes among patients with severe asthma.

resultsAmong the 2,164 patients meeting eligibility criteria, 1,144 had severity designations. Of these, 179(16 %) of patients had severe asthma of which 20 % (n = 35) had elevated eosinophils. Seventeen percent of patients with elevated eosinophils were admitted to the hospital during the follow-up period, significantly greater than patients with normal eosinophil levels (12 %; p = 0.011). Overall, compared to patients with normal eosinophil levels (n = 1734), patients with elevated eosinophil levels (n = 430) had significantly greater mean annual hospital admissions (0.51 vs. 0.21/year, p = 0.006) and hospital costs (2,536 vs. $1,091, p = 0.011). Logistic regressions showed that elevated eosinophil level was associated with 5.14 times increased odds of all cause admissions (95 % CI:1.76-14.99, p = 0.003) and 4.07 times increased odds of asthma related admissions (95 % CI: 1.26-13.12, p = 0.019).

conclusionEosinophil elevation was associated with greater healthcare resource use in patients with asthma.

Indexed as

EosinophilsHealth ExpendituresAdolescentAdultAsthmaChildFemaleHospitalizationHumansInternational Classification of DiseasesLeukocyte CountLogistic ModelsMaleMiddle AgedRetrospective StudiesSeverity of Illness IndexEconomic burdenElevated eosinophilsSevere asthma

Identifiers

PMID27412347
PMCPMC4944449

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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.