title: Outcome predictors for endoscopic sinus surgery.
abstract: OBJECTIVE
  The outcomes management of endoscopic sinus surgery (ESS) is a major effort to improve the quality of chronic sinusitis treatment. The objective of this study was to investigate the factors that may predict a variety of outcomes of ESS.
  
  
  METHODS
  Two hundred and thirty consecutive patients who underwent ESS were prospectively evaluated by computerized axial tomography scan of the sinus and a validated chronic sinusitis survey (CSS) before surgery. The effects of prognostic factors were then investigated.
  
  
  RESULTS
  Extent of disease was a consistent predictor (P < 0.05) for bleeding, complication occurrence, medical resource utilization, subjective sinus-specific health status, and physicians' objective evaluation of surgical outcomes. The preoperative CSS total score and extent of disease significantly (P < 0.05) predicted the postoperative CSS total score. Subjective and objective outcomes were significantly correlated (r = 0.58, P = 0.0001). These findings suggested the necessity of disease severity stratification when reporting ESS outcomes.
  
  
  CONCLUSIONS
  Operation-related events, medical resource utilization, physician evaluation, and sinus-specific health status of patients are all integral parts of reporting outcomes of ESS. We have concluded that computerized axial tomography scan of the sinuses and CSS are efficient ways of providing reliable baseline information before ESS.
authors.affiliation: Department of Otolaryngology, Cathay General Hospital, Taipai, Taiwan. Republic of China.
authors.forename: Pa-Chun
authors.initials: PC
authors.lastname: Wang
authors.forename: Chia-Chen
authors.initials: CC
authors.lastname: Chu
authors.forename: Shu-Cheng
authors.initials: SC
authors.lastname: Liang
authors.forename: Chih-Jaan
authors.initials: CJ
authors.lastname: Tai
mesh_terms: D000328:Adult; D002908:Chronic Disease; D004724:Endoscopy; D005240:Feasibility Studies; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D017063:Outcome Assessment, Health Care; D011446:Prospective Studies; D012720:Severity of Illness Index; D012852:Sinusitis / Q000000981:diagnostic imaging / Q000601:surgery*; D014057:Tomography, X-Ray Computed