Outcome variable: eosinophilic asthma, defined as a peripheral blood eosinophil count ≥ 300 cells/µL. Independent variables entered into the multivariable logistic regression model were age, sex, inhaled corticosteroid (ICS) use, neutrophil-to-lymphocyte ratio (NLR), and metabolic score for insulin resistance (METS-IR). Odds ratios (ORs) are adjusted for all variables included in the model.
The authors declare that they have no competing interests.
Ethical approval
This study was approved by the Non-Interventional Clinical Research Ethics Committee of Eskişehir Osmangazi University Faculty of Medicine (Decision No. 29, dated June 16, 2026). The study was conducted in accordance with the principles of the Declaration of Helsinki.
Consent to participate
Informed consent to publication was obtained from relevant participants.
Consent to publication
Not applicable.
Availability of data and materials
The raw data supporting the conclusions of this manuscript will be made available by the authors, without undue reservation, to any qualified researcher.
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References
Jayasooriya SM, Devereux G, Soriano JB, Singh N, Masekela R, Mortimer K, et al. Asthma: epidemiology, risk factors, and opportunities for prevention and treatment.Lancet Respir Med. 2025;13:725–38. [DOI] [PubMed]
Venkatesan P. 2023 GINA report for asthma.Lancet Respir Med. 2023;11:589. [DOI] [PubMed]
Gill BA, Ijaz A, Fatima N, Ahmed A, Noor A, Sharif S, et al. Efficacy and safety of Depemokimab in asthma with eosinophilic phenotype: a systematic review and meta-analysis of randomized controlled trials.BMC Immunol. 2025;27:2. [DOI] [PubMed] [PMC]
Lommatzsch M, Buhl R, Bergmann KC, Brusselle GG, Canonica GW, Jackson DJ, et al. Eosinophils in asthma phenotypes: perpetrators or guilty by association?Lancet Respir Med. 2025;13:943–50. [DOI] [PubMed]
Riemann S, Matthys I, Maes T, Lapauw B, Brusselle G. Obesity and asthma: obesity causes and aggravates asthma across the entire type-2 inflammation spectrum.Eur Respir J. 2026;67:2502687. [DOI] [PubMed] [PMC]
Menegati LM, de Oliveira EE, Oliveira BC, Macedo GC, de Castro E Silva FM. Asthma, obesity, and microbiota: A complex immunological interaction.Immunol Lett. 2023;255:10–20. [DOI] [PubMed]
Althoff MD, Gaietto K, Holguin F, Forno E. Obesity-related Asthma: A Pathobiology-based Overview of Existing and Emerging Treatment Approaches.Am J Respir Crit Care Med. 2024;210:1186–200. [DOI] [PubMed] [PMC]
Chen Y, Yang J, Han K, Wang Y, Zhuang C, Zhu L, et al. An Elevated METS-IR Index Is Associated With Higher Asthma Morbidity and Earlier Age of First Asthma in US Adults: Results Based on a Cross-Sectional Study.Front Endocrinol (Lausanne). 2022;13:920322. [DOI] [PubMed] [PMC]
Duan M, Zhao X, Li S, Miao G, Bai L, Zhang Q, Yang W, Zhao X, et al. Metabolic score for insulin resistance (METS-IR) predicts all-cause and cardiovascular mortality in the general population: evidence from NHANES 2001-2018.Cardiovasc Diabetol. 2024;23:243. [DOI] [PubMed] [PMC]
Thomas DM, Bredlau C, Bosy-Westphal A, Mueller M, Shen W, Gallagher D, et al. Relationships between body roundness with body fat and visceral adipose tissue emerging from a new geometrical model.Obesity (Silver Spring). 2013;21:2264–71. [DOI] [PubMed] [PMC]
Alizargar J, Bai CH, Hsieh NC, Wu SV. Use of the triglyceride-glucose index (TyG) in cardiovascular disease patients.Cardiovasc Diabetol. 2020;19:8. [DOI] [PubMed] [PMC]
Çatak M, Konuk ŞG, Hepsen S. The cholesterol-HDL-glucose (CHG) index and traditional adiposity markers in predicting diabetic retinopathy and nephropathy.J Diabetes Investig. 2025;16:1487–94. [DOI] [PubMed] [PMC]
Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man.Diabetologia. 1985;28:412–9. [DOI] [PubMed]
Yoon J, Jung D, Lee Y, Park B. The Metabolic Score for Insulin Resistance (METS-IR) as a Predictor of Incident Ischemic Heart Disease: A Longitudinal Study among Korean without Diabetes.J Pers Med. 2021;11:742. [DOI] [PubMed] [PMC]
