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 A, B, C hospital.
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.