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A prediction modeling based on SNOT-22 score for endoscopic nasal septoplasty: a retrospective study.


ABSTRACT: Background:To create a nomogram prediction model for the efficacy of endoscopic nasal septoplasty, and the likelihood of patient benefiting from the operation. Methods:A retrospective analysis of 155 patients with nasal septum deviation (NSD) was performed to develop a predictive model for the efficacy of endoscopic nasal septoplasty. Quality of life (QoL) data was collected before and after surgery using Sinonasal Outcome Test-22 (SNOT-22) scores to evaluate the surgical outcome. An effective surgical outcome was defined as a SNOT-22 score change ? 9 points after surgery. Multivariate logistic regression analysis was then used to establish a predictive model for the NSD treatment. The predictive quality and clinical utility of the predictive model were assessed by C-index, calibration plots, and decision curve analysis. Results:The identified risk factors for inclusion in the predictive model were included. The model had a good predictive power, with a AUC of 0.920 in the training group and a C index of 0.911 in the overall sample. Decision curve analysis revealed that the prediction model had a good clinical applicability. Conclusions:Our prediction model is efficient in predicting the efficacy of endoscopic surgery for NSD through evaluation of factors including: history of nasal surgery, preoperative SNOT-22 score, sinusitis, middle turbinate plasty, BMI, smoking, follow-up time, seasonal allergies, and advanced age. Therefore, it can be cost-effective for individualized preoperative assessment.

SUBMITTER: Kang XR 

PROVIDER: S-EPMC7489239 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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A prediction modeling based on SNOT-22 score for endoscopic nasal septoplasty: a retrospective study.

Kang Xue-Ran XR   Chen Bin B   Chen Yi-Sheng YS   Yi Bin B   Yan Xiaojun X   Jiang Chenyan C   Wang Shulun S   Lu Lixing L   Shi Runjie R  

PeerJ 20200911


<h4>Background</h4>To create a nomogram prediction model for the efficacy of endoscopic nasal septoplasty, and the likelihood of patient benefiting from the operation.<h4>Methods</h4>A retrospective analysis of 155 patients with nasal septum deviation (NSD) was performed to develop a predictive model for the efficacy of endoscopic nasal septoplasty. Quality of life (QoL) data was collected before and after surgery using Sinonasal Outcome Test-22 (SNOT-22) scores to evaluate the surgical outcome.  ...[more]

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