A novel risk score for disease control prediction of chronic rhinosinusitis.
A novel risk score for disease control prediction of chronic rhinosinusitis.
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DOI：
10.1111/coa.13949
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发表时间：
2022-09
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影响因子：
--
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中科院分区：
文献类型：
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为探讨慢性鼻-鼻窦炎(CRS)患者接受功能性鼻内窥镜鼻窦手术(FESS)1年后危险因素对疾病控制的影响，并结合危险因素建立方便、可视化的预测模型。一项回溯性非同期队列研究。2018年6月至2020年7月，中山大学附属第一医院、中山大学附属第三医院、中山大学附属第七医院共收治CRS患者325例。结果为事件发生时间指标：术后1 年CRS的疾病控制率。评估鼻息肉、吸烟习惯、变应性鼻炎(AR)、组织嗜酸性粒细胞(TER)与外周血嗜酸粒细胞计数(PBEC)的比率以及哮喘的发生情况。采用Logistic回归模型进行多因素和单因素分析。图中还包括哮喘、TER、AR、PBEC。用校正曲线和曲线下面积(AUC)来评价模型的预测性能。在单变量分析中，除年龄、性别和吸烟外，大多数协变量与终点有显著相关性。在训练队列中，诺模图的准确率最高，AUC值为0.760(95%CI，0.688-0.830)。在这项队列研究中，包括哮喘、AR、TER、PBEC，这些因素对CRS术后疾病控制有显著影响。该模型对FESS后CRS的疾病控制提供了较为准确的预测，为日常诊断和治疗提供了可视化参考。
To assess the impact of risk factors on the disease control among chronic rhinosinusitis (CRS) patients, following 1 year of functional endoscopic sinus surgery (FESS), and combining the risk factors to formulate a convenient, visualised prediction model. A retrospective and nonconcurrent cohort study. A total of 325 patients with CRS from June 2018 to July 2020 at the First Affiliated Hospital of Sun Yat‐sen University, the Third Affliated Hospital of Sun Yat‐sen University, the Seventh Affiliated Hospital of Sun Yat‐sen University. 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 area under curve (AUC) were used to evaluate the forecast performance of the model. 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. In this cohort study that included the asthma, AR, TER, PBEC, which 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 visualised reference for daily diagnosis and treatment.
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影响因子：
12.4
作者：
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通讯作者：
Xu G
影响因子：
12.4
作者：
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通讯作者：
Fujieda S
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影响因子：
12.4
作者：
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通讯作者：
Hellings PW
影响因子：
14.2
作者：
Dullaers, Melissa;De Bruyne, Ruth;Lambrecht, Bart N.
通讯作者：
Lambrecht, Bart N.
影响因子：
7.2
作者：
Fokkens, Wytske J.;Lund, Valerie J.;Zwetsloot, Casper P.
通讯作者：
Zwetsloot, Casper P.