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Socioeconomic, comorbidity, lifestyle and quality of life comparisons between chronic rhinosinusitis phenotypes: Data from the National Chronic Rhinosinusitis Epidemiology Study
  • +12
  • Carl Philpott,
  • Tanya Ta,
  • Clair Hopkins,
  • Jaydip Ray,
  • Shahzada Ahmed,
  • Robert Almeyda,
  • Naveed Kara,
  • Sean Carrie,
  • S. E. Erskine,
  • Russell Cathcart,
  • Vishnu Sunkaraneni,
  • Alasdair Robertson,
  • Shahram Anari,
  • B Kumar,
  • Allan Clark
Carl Philpott
University of East Anglia, University of East Anglia Faculty of Health

Corresponding Author:[email protected]

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Tanya Ta
UEA Rhinology & ENT Group, University of East Anglia Faculty of Health
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Clair Hopkins
Guy's and Saint Thomas' Hospitals NHS Trust
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Jaydip Ray
Sheffield Teaching Hospitals NHS Foundation Trust
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Shahzada Ahmed
University Hospitals Birmingham NHS Foundation Trust
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Robert Almeyda
Royal Berkshire NHS Foundation Trust
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Naveed Kara
County Durham and Darlington NHS Foundation Trust
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Sean Carrie
Newcastle Upon Tyne Hospitals NHS Foundation Trust
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S. E. Erskine
University of East Anglia Faculty of Health
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Russell Cathcart
Jersey General Hospital
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Vishnu Sunkaraneni
Royal Surrey County Hospital NHS Foundation Trust
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Alasdair Robertson
Southern General Hospital
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Shahram Anari
Heart of England NHS Foundation Trust
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B Kumar
Wrightington Wigan and Leigh NHS Foundation Trust
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Allan Clark
UEA Rhinology & ENT Group, University of East Anglia Faculty of Health
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Abstract

Background: Chronic rhinosinusitis (CRS) is a heterogenous group of inflammatory sinonasal disorders with key defining symptoms, but traditionally separated into phenotypes by clinical/endoscopic findings. It is not known if the two phenotypes have differing socioeconomic, co-morbidity and lifestyle differences. Objective: This analysis of the Chronic Rhinosinusitis Epidemiology Study (CRES) database sought to analyse any key differences in the socioeconomic variables between those with CRS with nasal polyps (CRSwNPs) and those without nasal polyps (CRSsNP). We also sought to analyse differences in comorbidities, lifestyle and quality of life. Methods: Patients with a confirmed diagnosis of CRS in secondary and tertiary care outpatient settings were invited to participate in a questionnaire based case-control study. Variables included demographics, comorbidities, socioeconomic factors, lifestyle factors and health related quality of life. Results: A total of 1204 patients’ data were analysed; 553 CRSsNP and 651 CRSwNP participants. The key socioeconomic variables did not demonstrate any notable differences, nor did lifestyle variables other than alcohol consumption being higher in those with CRSwNP (p=0.032). Aside from confirmation of asthma being more common in CRSwNP, it was notable that this group complained less of URTIs and CRSsNP participants showed evidence of lower HRQoL scores in respect of body pain (p=0.001). Conclusions: Patients with CRSwNP experience higher rates of asthma and lower rates of URTIs but otherwise do not demonstrate significant socioeconomic, comorbidity, lifestyle or quality of life issues other than for body pain and alcohol consumption.