Abstract
Abstract Objectives: To assess the impact of risk factors on the disease
control among CRS patients, following 1 year of functional endoscopic
sinus surgery (FESS), and combining the risk factors to formulate a
convenient, visualized prediction model. Design: A retrospective and
nonconcurrent cohort study Setting and Participants: A total of 325
patients with Chronic rhinosinusitis (CRS) from June 2018 to July 2020
at the First Affiliated Hospital, the Third Affiliated Hospital, and the
Seventh Affiliated Hospital of Sun Yat-sen University. Main Outcomes
Measures: Outcomes were time to event measures: the disease control of
CRS after surgery 1 year. The presence of nasal polyps, smoking habits,
allergic rhinitis (AR), the ratio of tissue eosinophil (TER), and
peripheral blood eosinophil count (PBEC)and asthma was assessed. The
logistic regression models were used to conduct multivariate and
univariate analyses. Asthma, TER, AR, PBEC were also included in the
nomogram. The calibration curve and AUC (Area Under Curve) were used to
evaluate the forecast performance of the model. Results: In univariate
analyses, most of the covariates had significant associations with the
endpoints, except for age, gender, and smoking. The nomogram showed the
highest accuracy with an AUC of 0.760 (95% CI, 0.688-0.830) in the
training cohort. Conclusions: In this cohort study that included the
asthma, AR, TER, PBEC had significantly affected the disease control of
CRS after surgery. The model provided relatively accurate prediction in
the disease control of CRS after FESS and served as a visualized
reference for daily diagnosis and treatment.