Evidence map›Paper›PMID 41559317›Full record

ArticleEuropean archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery2026

Systemic predictors of symptom burden in CRSsNP: a cross-sectional comparison of three patient-reported outcome measures.

María Alharilla Montilla-Ibáñez, Javier Modesto García-Fernández, María Pilar Gómez-Gallego, Rafael Lomas-Vega

Abstract readComparative Study
In one paragraph

Article in European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

María Alharilla Montilla-IbáñezDepartment of Health Sciences, University of Jaén, Jaén, Spain.
Javier Modesto García-FernándezDepartment of Health Sciences, University of Jaén, Jaén, Spain. jmgf0018@red.ujaen.es.ORCID http://orcid.org/0000-0002-0200-051X
María Pilar Gómez-GallegoDepartment of Health Sciences, University of Jaén, Jaén, Spain.
Rafael Lomas-VegaDepartment of Health Sciences, University of Jaén, Jaén, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine the influence of sociodemographic and clinical variables on symptom burden in chronic rhinosinusitis without nasal polyps (CRSsNP), and to compare the sensitivity of three validated patient-reported outcome measures (PROMs)-NOSE-E, SNOT-22, and CRS-PRO-to these predictors. A planned sensitivity analysis was conducted to evaluate whether sleep-related item content influences associations with obstructive sleep apnea (OSA). STUDY

designCross-sectional analytical study.

settingTertiary care hospital.

methodsFifty adults with CRSsNP completed the NOSE-E, SNOT-22, and CRS-PRO questionnaires. Sociodemographic and clinical variables, including age, sex, BMI, smoking status, allergic rhinitis, asthma, OSA, and prior nasal surgery, were recorded. Univariate and multivariable linear regressions were used to identify independent predictors for each PROM. A predefined sleep-free analysis excluded sleep- and fatigue-related items (NOSE-E item 4; SNOT-22 items 11-14; CRS-PRO items 9-10).

resultsEach PROM demonstrated a distinct predictor profile. In multivariable models, age and smoking independently predicted NOSE-E scores. Previous nasal surgery was the only independent predictor of SNOT-22 scores. Age and OSA were associated with CRS-PRO scores in the primary model; however, the OSA association disappeared in the sleep-free analysis, indicating that it was driven by sleep-related item content rather than sinonasal symptomatology. All models showed modest explanatory capacity (adjusted R² ≈ 0.10-0.19).

conclusionSystemic and lifestyle factors exert instrument-specific influences on symptom reporting in CRSsNP. The apparent association between OSA and CRS-PRO is mediated by sleep-related items, underscoring the importance of considering domain structure when selecting and interpreting PROMs. PROM-based evaluations in CRSsNP should incorporate domain-aware interpretation and caution in patients with sleep comorbidities.

Indexed as

Patient Reported Outcome MeasuresRhinitisRhinosinusitisSinusitisAdultAgedChronic DiseaseCross-Sectional StudiesFemaleHumansMaleMiddle AgedNasal PolypsQuality of LifeSleep Apnea, ObstructiveSurveys and QuestionnairesChronic rhinosinusitisCRS-PROCRSsNPNOSE-EPROMsQuality of lifeSleep apneaSNOT-22Symptom predictors

Identifiers

PMID41559317
PMCPMC13002631

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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.