Novel scoring system and algorithm for classifying chronic rhinosinusitis: the JESREC Study.
Novel scoring system and algorithm for classifying chronic rhinosinusitis: the JESREC Study.
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作者:
Tokunaga T;Sakashita M;Haruna T;Asaka D;Takeno S;Ikeda H;Nakayama T;Seki N;Ito S;Murata J;Sakuma Y;Yoshida N;Terada T;Morikura I;Sakaida H;Kondo K;Teraguchi K;Okano M;Otori N;Yoshikawa M;Hirakawa K;Haruna S;Himi T;Ikeda K;Ishitoya J;Iino Y;Kawata R;Kawauchi H;Kobayashi M;Yamasoba T;Miwa T;Urashima M;Tamari M;Noguchi E;Ninomiya T;Imoto Y;Morikawa T;Tomita K;Takabayashi T;Fujieda S
Chronic rhinosinusitis (CRS) can be classified into CRS with nasal polyps (CRSwNP) and CRS without nasal polyps (CRSsNP). CRSwNP displays more intense eosinophilic infiltration and the presence of Th2 cytokines. Mucosal eosinophilia is associated with more severe symptoms and often requires multiple surgeries because of recurrence; however, even in eosinophilic CRS (ECRS), clinical course is variable. In this study, we wanted to set objective clinical criteria for the diagnosis of refractory CRS. This was a retrospective study conducted by 15 institutions participating in the Japanese Epidemiological Survey of Refractory Eosinophilic Chronic Rhinosinusitis (JESREC). We evaluated patients with CRS treated with endoscopic sinus surgery (ESS), and risk of recurrence was estimated using Cox proportional hazard models. Multiple logistic regression models and receiver operating characteristics curves were constructed to create the diagnostic criterion for ECRS. We analyzed 1716 patients treated with ESS. To diagnose ECRS, the JESREC scoring system assessed unilateral or bilateral disease, the presence of nasal polyps, blood eosinophilia, and dominant shadow of ethmoid sinuses in computed tomography (CT) scans. The cutoff value of the score was 11 points (sensitivity: 83%, specificity: 66%). Blood eosinophilia (>5%), ethmoid sinus disease detected by CT scan, bronchial asthma, aspirin, and nonsteroidal anti‐inflammatory drugs intolerance were associated significantly with recurrence. 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.
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DOI:
10.1016/j.jaci.2012.02.046
发表时间:
2012-08
期刊:
The Journal of allergy and clinical immunology
影响因子:
--
作者:
Takabayashi T;Kato A;Peters AT;Suh LA;Carter R;Norton J;Grammer LC;Tan BK;Chandra RK;Conley DB;Kern RC;Fujieda S;Schleimer RP
通讯作者:
Schleimer RP
影响因子:
12.4
作者:
Seshadri S;Lin DC;Rosati M;Carter RG;Norton JE;Suh L;Kato A;Chandra RK;Harris KE;Chu HW;Peters AT;Tan BK;Conley DB;Grammer LC;Kern RC;Schleimer RP
通讯作者:
Schleimer RP
DOI:
10.1164/rccm.201207-1292oc
发表时间:
2013-01-01
影响因子:
24.7
作者:
Takabayashi, Tetsuji;Kato, Atsushi;Schleimer, Robert P.
通讯作者:
Schleimer, Robert P.
影响因子:
2.8
作者:
Sakashita, Masafumi;Hirota, Tomomitsu;Fujieda, Shigeharu
通讯作者:
Fujieda, Shigeharu
影响因子:
14.2
作者:
Tieu, David D.;Peters, Anju T.;Carter, Roderick T.;Suh, Lydia;Conley, David B.;Chandra, Rakesh;Norton, James;Grammer, Leslie C.;Harris, Kathleen E.;Kato, Atsushi;Kern, Robert C.;Schleimer, Robert P.
通讯作者:
Schleimer, Robert P.