Phillips, et al. (2017) [6]
|
Number of CRS-related antibiotics usage, sinus infections
|
SNOT-22 score is associated with the number of antibiotics; Antibiotic usage highly correlated with the number of reported sinus infections.
|
Sinusitis-related antibiotic usage, reflecting the frequency of acute CRS exacerbations, mediates the association between CRS symptomatology and QOL.
|
3a
|
Banoub, et al. (2018) [11]
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Number of sinus infections, CRS-related antibiotics use, CRS-related oral corticosteroids use
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The frequency of patient-reported sinus infections, CRS-related antibiotics courses and CRS-related oral corticosteroid courses was negatively associated with asthma control.
|
AE are negatively associated with the level of asthma control.
|
3a
|
Phillips, et al. (2019) [18]
|
Number of sinus infections, CRS-related antibiotics, CRS-related oral corticosteroids
|
AE positively associated with comorbid asthma, and SNOT-22.
|
A CRS exacerbation-prone phenotype characterized by high sinonasal disease burden with comorbid asthma.
|
3a
|
Sedaghat, et al. (2018) [19]
|
Number of sinus infections, CRS-related oral antibiotic, CRS-related oral corticosteroids
|
At least 1 course of antibiotics or oral corticosteroids in the last 3 months was the optimal threshold for detecting poorly controlled CRS.
|
Number of CRS-related antibiotic use, and CRS-related oral corticosteroid aid in the determination of global CRS control.
|
3a
|
Speth, et al. (2018) [20]
|
Number of sinus infections, CRS-related antibiotics, CRS-related steroid usage
|
SNOT-22 score ≥ 30 predicted at least 1 sinus infection, CRS-related antibiotics, or CRS-related oral corticosteroids in the past 3 months.
|
SNOT-22 score and AE were predictive of each other.
|
3a
|
Zemke, et al. (2019) [13]
|
SNOT-22 scores
|
SNOT-22 scores were 4.9 points higher during the AE
|
Changes of SNOT-22 indicate the AE.
|
3a
|
Diveka, et al. (2015) [14]
|
SNOT-22 scores
|
SNOT-22 scores were 10.75 higher during the AE
|
Changes of SNOT-22 indicate the AE.
|
3a
|