Evidence map›Paper›PMID 33495097›Full record

ArticleThe journal of allergy and clinical immunology. In practice2021

Eosinophilia in Asthma Patients Is Protective Against Severe COVID-19 Illness.

Denisa Ferastraoaru, Golda Hudes, Elina Jerschow, Sunit Jariwala, Merhunisa Karagic, Gabriele de Vos, David Rosenstreich, Manish Ramesh

Open access · bronzeAbstract read
In one paragraph

Article in The journal of allergy and clinical immunology. In practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
95citing papers in PubMed, 5 pooled it
9.6field-weighted citation impact, top 2% 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

95 citing papers in PubMed, 5 syntheses or guidelines pooled it, 159 citations in OpenAlex.

  1. Pooled it
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  4. Pooled it
  5. Pooled it
  6. Incidence and risk factors for persistent symptoms in adults previously hospitalized for COVID-19.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2021
    Trial
  7. Article
  8. Observational
  9. Article
  10. Article
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  12. Article
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  14. Review
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  16. Exploring Asthma as a Protective Factor in COVID-19 Outcomes.International journal of molecular sciences · 2025
    Review
  17. Review
  18. Article
  19. Immune Response Dynamics and Biomarkers in COVID-19 Patients.International journal of molecular sciences · 2024
    Article
  20. Article

35 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Denisa FerastraoaruAlbert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY. Electronic address: dferastr@montefiore.org.
Golda HudesAlbert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY.
Elina JerschowAlbert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY.
Sunit JariwalaAlbert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY.
Merhunisa KaragicAlbert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY.
Gabriele de VosAlbert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY.
David RosenstreichAlbert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY.
Manish RameshAlbert Einstein College of Medicine/Montefiore Medical Center, Bronx, NY.
Albert Einstein College of Medicine · US

Funding

CTSA Administrative Supplement for Informatics Core: A novel AI/ML system to predict respiratory failure and ARDS in Covid-19 patientsUL1TR002556 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KELLER, MARLA J, KIM, MIMI Y · 2018 to 2022
$26.7M
NCATS NIH HHS UL1 TR002556
6 · The paper itself

Abstract

backgroundThere is a paucity of information on coronavirus disease 2019 (COVID-19) outcomes in asthmatics.

objectiveTo identify risk factors associated with admission and subsequent mortality among COVID-19-infected asthmatics.

methodsAdults at our institution with a positive polymerase chain reaction for COVID-19 between March 14 and April 27, 2020, were retrospectively identified. Comorbidities, laboratory results, and mortality rates during hospitalization were recorded.

resultsIn total, 737 of 951 (77.5%) asthma patients with COVID-19 were seen in the emergency department (ED), and 78.8% of these ED patients (581 of 737) were admitted. Individuals with previously measured mean absolute eosinophil counts (AEC) ≥150 cells/μL were less likely to be admitted (odds ratio [OR] = 0.46, 95% confidence interval [CI]: 0.21-0.98, P = .04), whereas concomitant heart failure (CHF), chronic kidney disease (CKD), and chronic obstructive pulmonary disease (COPD) were risk factors for admission. Hospitalized patients with asthma with peak hospital-measured AEC ≥150 cells/μL (n = 104) were less likely to die compared with those whose AEC remained <150 cells/μL (n = 213) (mortality rate 9.6% vs 25.8%; OR = 0.006, 95% CI: 0.0001-0.64, P = .03). This group had also higher preadmission mean AEC (237 ± 181 vs 163 ± 147 cells/μL, P = .001, OR = 2012, 95% CI: 27.3-14,816). The mortality rate in patients with asthma alone (no associated CHF, CKD, COPD, diabetes, or hypertension) was similar to that of patients without asthma or any of these comorbidities.

conclusionsIn asthmatics, pre-existing eosinophilia (AEC ≥150 cells/μL) was protective from COVID-19-associated admission, and development of eosinophilia (AEC ≥150 cells/μL) during hospitalization was associated with decreased mortality. Preadmission AEC influenced the AEC trend during hospitalization. Having a Th2-asthma phenotype might be an important predictor for reduced COVID-19 morbidity and mortality that should be further explored in prospective and mechanistic studies.

Indexed as

AdolescentAdultAgedAge FactorsAsthmaBody Mass IndexCigarette SmokingComorbidityCOVID-19EosinophiliaFemaleHealth StatusHeart FailureHospitalizationHumansMaleAsthmaCOVID-19EosinophiliaMortality

Identifiers

PMID33495097
PMCPMC7826039
OpenAlexW3123390969

What OpenQuestion holds

Textmetadata
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.