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Novel scoring system and algorithm for classifying chronic rhinosinusitis: the <scp>JESREC</scp> Study

Allergy · 2015 · Vol. 70(8) · pp. 995–1003
T TokunagaMasafumi SakashitaHaruna TakedaDaiya AsakaSachio TakenoHiroki IkedaT. NakayamaNarihito SekiShin ItoJunichi MurataYasunori SakumaNaohiro YoshidaTetsuya TeradaIchiro MorikuraHiroshi SakaidaKenji KondoKYOKO TERAGUCHIMitsuhiro OkanoNobuyoshi OtoriMamoru YoshikawaK. HirakawaS. HarunaT. HimiKatsuhisa IkedaJ. IshitoyaY. IinoRyo KawataHideyuki KawauchiMasayoshi KobayashiTatsuya YamasobaTakaki MiwaMitsuyoshi UrashimaMayumi TamariEmiko NoguchiTakahiro NinomiyaYoshimasa ImotoTaiyo MorikawaKaori TomitaTetsuji TakabayashiShigeharu Fujieda

Abstract

We subdivided CRSwNP in non-ECRS, mild, moderate, and severe ECRS according to our algorithm. This classification was significantly correlated with prognosis. It is notable that this algorithm may give useful information to clinicians in the refractoriness of CRS before ESS or biopsy.

Sinusitis and nasal conditionsAllergic Rhinitis and SensitizationInfectious Diseases and MycologyMedicineEosinophiliaNasal polypsSinusitisEosinophilicGastroenterologyInternal medicineReceiver operating characteristicChronic rhinosinusitisRetrospective cohort study

MeSH terms

AdultAgedAlgorithmsChronic DiseaseEosinophiliaFemaleHumansJapanMaleMiddle AgedPrognosisRetrospective StudiesRhinitisSeverity of Illness IndexSinusitis

Funding

  • Ministry of Health, Labour and Welfare
  • University of Fukui
  • Japan Society for the Promotion of Science
Citations
650
FWCI
30.48
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35
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100%
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