Evidence map›Paper›PMID 39006280›Full record

ArticleAmerican journal of translational research2024

Screening and analysis for potential clinical diagnostic and prognostic markers in allergic rhinitis.

Yejun Liu, Yonggang Kong, Xuhong Zhou

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Article in American journal of translational research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

  1. Neocnidilide and 6-Gingerol as Key Bioactives in Fresh and DriedInternational journal of molecular sciences · 2025
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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Yejun LiuDepartment of Otolaryngology, Qianjiang Central Hospital Qianjiang 433100, Hubei, China.
Yonggang KongDepartment of Otolaryngology, Head and Neck Surgery, People's Hospital of Wuhan University Wuhan 430060, Hubei, China.
Xuhong ZhouDepartment of Otolaryngology, Head and Neck Surgery, Zhongnan Hospital, Wuhan University Wuhan 430071, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo identify potential clinical diagnostic and prognostic markers for allergic rhinitis (AR) by analyzing a range of inflammatory and clinical markers in a cohort of patients.

methodsWe conducted a retrospective analysis of clinical data from 493 AR patients treated at Qianjiang Central Hospital from January to March 2023. Patients were categorized based on their outcome. Inclusion and exclusion criteria were strictly applied to select the study population. Various clinical and inflammatory markers were assessed, and statistical analyses were performed to evaluate their diagnostic and prognostic utility.

resultsNo significant differences in traditional demographic factors were found between the good and poor prognosis groups (all P > 0.05). However, significant differences were observed in several inflammatory and clinical markers: Interleukin-4 (IL-4) levels were 17.32 ± 4.21 pg/mL in the good prognosis group versus 18.56 ± 5.89 pg/mL in the poor prognosis group (t=2.562, P=0.011). Interleukin-5 (IL-5) levels were 15.65 ± 3.78 pg/mL versus 16.52 ± 4.56 pg/mL, respectively (t=2.221, P=0.027). Transforming growth factor-β1 (TGF-β1) levels were 39.16 ± 8.92 pg/mL versus 41.32 ± 9.67 pg/mL (t=2.513, P=0.012), and histamine levels were 11.87 ± 3.21 ng/mL versus 12.56 ± 4.03 ng/mL (t=1.991, P=0.047). Interleukin-13 (IL-13) levels were 16.32 ± 3.56 pg/mL versus 17.09 ± 4.21 pg/mL (t=2.108, P=0.036). Serum immunoglobulin E (IgE) levels were significantly different, with 164.87 ± 45.32 IU/mL in the good prognosis group compared to 198.56 ± 58.21 IU/mL in the poor prognosis group (t=6.866, P < 0.001). The composite biomarker model demonstrated high predictive value for AR prognosis with an Area Under Curve of 0.906. Individual markers such as TGF-β1, IL-13, and serum IgE levels showed strong diagnostic potential.

conclusionOur findings underscore the clinical utility of various inflammatory and clinical markers as diagnostic and prognostic indicators for AR. TGF-β1, IL-13, and serum IgE levels, in particular, demonstrated significant diagnostic and prognostic value. An integrated approach combining multiple biomarkers could enhance the accuracy of AR diagnosis and prognosis. Further validation through prospective clinical studies and consideration of treatment interventions are recommended to clarify the clinical implications of these markers.

Indexed as

allergic rhinitisanalysisclinical diagnosticsprognostic progress markersScreening

Identifiers

PMID39006280
PMCPMC11236636

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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 Socratic graph.