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Assessing chronic rhinosinusitis with nasal polyps severity by “Japanese epidemiological survey of refractory eosinophilic chronic rhinosinusitis” algorithm
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Aim: Chronic rhinosinusitis with nasal polyps (CRSwNP) is a complex disease with different subtypes that affect patients’ quality of life. This study aim to evaluate the severity of CRSwNP and the risk of treatment resistance using the “Japanese epidemiological survey of refractory eosinophilic chronic rhinosinusitis” (JESREC) algorithm in outpatients at a university hospital.
Methods: A retrospective study was conducted reviewing the medical records of CRSwNP outpatients. Clinical data including age, sex, blood eosinophilia, computered tomography (CT) scans, presence of asthma, and nonsteroidal anti-inflammatory drug (NSAID) use were assessed.
Results: Medical records of 83 patients diagnosed with CRSwNP were analyzed, with 44 (53%) females and 39 (47%) males. The mean age was 61.8 years ± 14.1 years (range: 19–90 years). According to the JESREC algorithm, 9 (10.8%) patients were categorized as non-eosinophilic chronic rhinosinusitis (neCRS), and 74 (89%) were classified as eosinophilic chronic rhinosinusitis (eCRS). Among the eCRS patients, 13 (17.6%) were mild, 32 (43.2%) were moderate, and 29 (39.2%) were severe. Asthma was identified as a comorbidity in 57 patients (68.6%).
Conclusions: A predominance of eCRS with moderate to severe risk of treatment resistance was confirmed. Considering the heterogeneity of chronic rhinosinusitis (CRS), the JESREC algorithm comes up as an instrument that uses objective criteria to assess higher risks of recurrency and refractoriness among patients before surgical treatment, helping to predict type2-driven biologics need.
Title: Assessing chronic rhinosinusitis with nasal polyps severity by “Japanese epidemiological survey of refractory eosinophilic chronic rhinosinusitis” algorithm
Description:
Aim: Chronic rhinosinusitis with nasal polyps (CRSwNP) is a complex disease with different subtypes that affect patients’ quality of life.
This study aim to evaluate the severity of CRSwNP and the risk of treatment resistance using the “Japanese epidemiological survey of refractory eosinophilic chronic rhinosinusitis” (JESREC) algorithm in outpatients at a university hospital.
Methods: A retrospective study was conducted reviewing the medical records of CRSwNP outpatients.
Clinical data including age, sex, blood eosinophilia, computered tomography (CT) scans, presence of asthma, and nonsteroidal anti-inflammatory drug (NSAID) use were assessed.
Results: Medical records of 83 patients diagnosed with CRSwNP were analyzed, with 44 (53%) females and 39 (47%) males.
The mean age was 61.
8 years ± 14.
1 years (range: 19–90 years).
According to the JESREC algorithm, 9 (10.
8%) patients were categorized as non-eosinophilic chronic rhinosinusitis (neCRS), and 74 (89%) were classified as eosinophilic chronic rhinosinusitis (eCRS).
Among the eCRS patients, 13 (17.
6%) were mild, 32 (43.
2%) were moderate, and 29 (39.
2%) were severe.
Asthma was identified as a comorbidity in 57 patients (68.
6%).
Conclusions: A predominance of eCRS with moderate to severe risk of treatment resistance was confirmed.
Considering the heterogeneity of chronic rhinosinusitis (CRS), the JESREC algorithm comes up as an instrument that uses objective criteria to assess higher risks of recurrency and refractoriness among patients before surgical treatment, helping to predict type2-driven biologics need.
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