Factors Related To Osteitis In Patient With CRSwNP

【Objective】To explore how clinical factors influence nasal osteitis with the global osteitis scoring to measure the seriousness of osteitis in patients with chronic sinusitis with nasal polyps.【Methods】A retrospective study was taken with patients diagnosed as chronic sinusitis with nasal polyps who visited Fujian province hospital between January 2017 to December 2017.Clinical data was collected including: gender,age,length of the disease,clinical symptoms,surgery history,hypertension,diabetes,asthma,smoking,number of eosinophils under high magnification,sinus CT,Lund-Mackay scoring,the HU of bone in ethmoidal,global osteitis scoring.Unitary linearity regression was used to show the relation of quantitative variable and global osteitis scoring.Rank sum test was used to show the relation of qualitative variables and global osteitis scoring.Binary logistic regression was used to explore how osteitis influence qualitative variables.【Result】1.A total of 100 patients were collected,there were 49 patients with GOSS scale score less than 5,38 patients with scale score between 5 and 20,13 patients with scale score between 21 and 35,1 patient with scale score over 35.There are 52% patients with scale score over 5.2.Kolmogorov-smirnov test for a single sample was taken,and it resulted that GOSS score dinn’t match normal distribution,P=0.000,<0.05.3.Quantitative factors:Age was positively correlated with GOSS score(B=0.098),P=0.002.Lund-Mackay was positively correlated with GOSS score(B=0.211),P=0.022.The HU of bone in ethmoidal was positively correlated with GOSS score(B=0.015),P<0.001.The length of disease was positively correlated with GOSS score(B=0.158),P=0.005.4.Qualitative factors:The median of GOSS score for men(10.5)was less than women,Sig=0.537.The median of GOSS score for patients with nasal surgery(12)was more than patients without nasal surgery(10.5),Sig=0.253.The median of GOSS score for patients with hypertension(13.5)was more than patients without hypertension(10),Sig=0.041.The median of GOSS score for patients with diabetes(16)was more than patients without diabetes(11),Sig=0.502.The median of GOSS score for patients with smoking(11.5)was more than patients without smoking(11),Sig=0.464.The median of GOSS score for patients with bronchial asthma(12)was more than patients without bronchial asthma(11),Sig=0.98.The median of GOSS score for patients with infiltration of eosinophil in nasal polyp specimens(10)was less than patients without infiltration of eosinophil in nasal polyp specimens(13),Sig=0.001.The median of GOSS score for patients with infiltration of eosinophil in peripheral blood(11)was equal to patients without infiltration of eosinophil in peripheral blood(11),Sig=0.72.5.Clinical symptoms:With the increase of GOSS score,the probability of nasal congestion increased(B=0.15),Sig=0.35.With the increase of GOSS score,the probability of pus snot increased(B=0.04),Sig=0.465.With the increase of GOSS score,the probability of hyposmia increased(B=0.084),Sig=0.045.With the increase of GOSS score,the probability of headache decreased(B=-0.019),Sig=0.667.With the increase of GOSS score,the probability of nasal itching and sneeze decreased(B=-0.169),Sig=0.06.【Conclusion】1.There were 52% patients with CRSwNP having significance osteitis(GOSS score should be equal or greater than 5).2.GOSS score in patients with CRSwNP didn’t match normal distribution.3.Age,Lund-Mackay,the HU of bone in ethmoid and the length of disease were positively correlated with GOSS score.4.Patients with infiltration of eosinophil in nasal polyp specimens had severer nasal osteitis than patients without hypertension.Patients with infiltration of eosinophil in nasal polyp specimens had milder nasal osteitis than patients without infiltration of eosinophil in nasal polyp specimens.5.With the increase of GOSS score,the probability of hyposmia increased.