Literature DB >> 25785749

Clustering of chronic rhinosinusitis symptomatology reveals novel associations with objective clinical and demographic characteristics.

Ahmad R Sedaghat1, Stacey T Gray, Scott D Caradonna, David S Caradonna.   

Abstract

BACKGROUND: Chronic rhinosinusitis (CRS) is associated with varied head and neck symptomatology and quality-of-life impairments that are not necessarily correlated with each other or with objective measures of disease.
OBJECTIVE: To determine how clustering patterns of CRS symptoms associate with objective clinical findings.
METHODS: Symptom scores from 193 Sinonasal Outcomes Test-22 (SNOT-22) questionnaires, from 177 consecutive CRS patients, were analyzed by principal component analysis (PCA) to uncover fewer and physiologically understandable latent components. Univariate and multivariate regressions were made with patients' demographic characteristics, nasal polyposis, comorbid allergic rhinitis, asthma, gastro-esophageal reflux disease (GERD) or depression, and Lund-Mackay scoring of sinus computed tomography (CT) results.
RESULTS: Four principal components (PCs), heavily weighted on sleep symptoms, nasal symptoms, otologic symptoms, and emotional function symptoms, respectively, are found to primarily describe the variability in patients' SNOT-22 scores. SNOT-22 subset scores reflecting sleep, nasal, otologic, and emotional function symptoms were constructed from corresponding PCs. Only female gender associated with the total SNOT-22 score (p = 0.004), whereas only Lund-Mackay score associated with the nasal subset score (p = 0.015). Allergic rhinitis only associated with the otologic subset score (p = 0.005), whereas only asthma associated with the emotional function subset score (p = 0.027). None of the measured covariates were associated with the sleep subset score.
CONCLUSION: Variability in SNOT-22 scores from CRS patients may be explained by the independent presence of sleep, nasal, otologic, and emotional function symptoms, with which we find novel clinical and demographic associations. These findings may represent clinical evidence for distinct pathophysiologic processes that differentially cause specific CRS symptomatology.

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Year:  2015        PMID: 25785749     DOI: 10.2500/ajra.2015.29.4140

Source DB:  PubMed          Journal:  Am J Rhinol Allergy        ISSN: 1945-8932            Impact factor:   2.467


  18 in total

1.  Association between computed tomography findings and clinical symptoms in chronic rhinosinusitis with and without nasal polyps.

Authors:  Tomislav Gregurić; Vladimir Trkulja; Tomislav Baudoin; Marko Velimir Grgić; Igor Šmigovec; Livije Kalogjera
Journal:  Eur Arch Otorhinolaryngol       Date:  2017-02-02       Impact factor: 2.503

2.  Editorial: new perspectives in the pathogenesis and management of rhinologic and allergic airway disease.

Authors:  Jivianne T Lee
Journal:  Am J Rhinol Allergy       Date:  2015 Mar-Apr       Impact factor: 2.467

3.  Preoperative Lund-Mackay computed tomography score is associated with preoperative symptom severity and predicts quality-of-life outcome trajectories after sinus surgery.

Authors:  Steven G Brooks; Michal Trope; Mariel Blasetti; Laurel Doghramji; Arjun Parasher; Jordan T Glicksman; David W Kennedy; Erica R Thaler; Noam A Cohen; James N Palmer; Nithin D Adappa
Journal:  Int Forum Allergy Rhinol       Date:  2018-03-08       Impact factor: 3.858

4.  Longitudinal improvement in nasal obstruction symptoms of chronic rhinosinusitis directly associates with improvement in mood.

Authors:  Marlene M Speth; Katie M Phillips; Lloyd P Hoehle; David S Caradonna; Stacey T Gray; Ahmad R Sedaghat
Journal:  Eur Arch Otorhinolaryngol       Date:  2019-07-19       Impact factor: 2.503

5.  Seasonal variations in chronic rhinosinusitis symptom burden may be explained by changes in mood.

Authors:  Rehab Talat; Katie M Phillips; David S Caradonna; Stacey T Gray; Ahmad R Sedaghat
Journal:  Eur Arch Otorhinolaryngol       Date:  2019-07-15       Impact factor: 2.503

6.  Longitudinal evaluation of clustering of chronic sinonasal and related symptoms using exploratory factor analysis.

Authors:  M Cole; K Bandeen-Roche; A G Hirsch; J R Kuiper; A S Sundaresan; B K Tan; R P Schleimer; R C Kern; B S Schwartz
Journal:  Allergy       Date:  2018-05-21       Impact factor: 13.146

7.  Chronic rhinosinusitis disease burden is associated with asthma-related emergency department usage.

Authors:  Claire Gleadhill; Marlene M Speth; Isabelle Gengler; Katie M Phillips; Lloyd P Hoehle; David S Caradonna; Stacey T Gray; Ahmad R Sedaghat
Journal:  Eur Arch Otorhinolaryngol       Date:  2020-08-04       Impact factor: 2.503

8.  Symptom-Based Clustering in Chronic Rhinosinusitis Relates to History of Aspirin Sensitivity and Postsurgical Outcomes.

Authors:  Rohit Divekar; Neil Patel; Jay Jin; John Hagan; Matthew Rank; Devyani Lal; Hirohito Kita; Erin O'Brien
Journal:  J Allergy Clin Immunol Pract       Date:  2015-07-26

9.  Mouse Sensitivity is an Independent Risk Factor for Rhinitis in Children with Asthma.

Authors:  Ahmad R Sedaghat; Elizabeth C Matsui; Sachin N Baxi; Mary E Bollinger; Rachel Miller; Matthew Perzanowski; Wanda Phipatanakul
Journal:  J Allergy Clin Immunol Pract       Date:  2015-10-02

10.  Responsiveness and Convergent Validity of a New Patient-Reported Outcome Measure for Chronic Rhinosinusitis (CRS-PRO).

Authors:  Saied Ghadersohi; Caroline P E Price; Jennifer L Beaumont; Robert C Kern; David B Conley; Kevin C Welch; Alexis M Calice; Elizabeth Stanton; Marisa K VanderMeeden; Sally E Jensen; Anju T Peters; Leslie C Grammer; Whitney W Stevens; Robert P Schleimer; Bruce K Tan
Journal:  J Allergy Clin Immunol Pract       Date:  2020-04-30
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