[1]杜香楠,陆裕铤,罗霄霄,等.腺样体肥大患儿合并下呼吸道感染的危险因素列线图预测模型构建[J].医学信息,2026,39(02):47-51.[doi:10.3969/j.issn.1006-1959.2026.02.008]
 DU Xiangnan,LU Yuting,LUO Xiaoxiao,et al.Construction of a Nomogram Prediction Model for Risk Factors of Adenoidal HypertrophyComplicated with Lower Respiratory Tract Infection in Children[J].Journal of Medical Information,2026,39(02):47-51.[doi:10.3969/j.issn.1006-1959.2026.02.008]
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腺样体肥大患儿合并下呼吸道感染的危险因素列线图预测模型构建()

医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
39卷
期数:
2026年02期
页码:
47-51
栏目:
临床信息学
出版日期:
2026-01-15

文章信息/Info

Title:
Construction of a Nomogram Prediction Model for Risk Factors of Adenoidal HypertrophyComplicated with Lower Respiratory Tract Infection in Children
文章编号:
1006-1959(2026)02-0047-05
作者:
杜香楠12陆裕铤12罗霄霄12曹晓林2
1.浙江中医药大学第四临床医学院,浙江 杭州 310053;2.西湖大学医学院附属杭州市第一人民医院耳鼻咽喉头颈外科,浙江 杭州 3100
Author(s):
DU Xiangnan12 LU Yuting12 LUO Xiaoxiao12 CAO Xiaolin2
1.The Fourth Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou 310053, Zhejiang, China;2.Department of Otolaryngology Head and Neck Surgery, Affiliated Hangzhou First People′s Hospital, School of Medicine, Westlake University, Hangzhou 310006, Zhejiang, China
关键词:
腺样体肥大下呼吸道感染危险因素列线图
Keywords:
Adenoid hypertrophy Lower respiratory tract infections Risk factors Nomogram
分类号:
R766;R725.
DOI:
10.3969/j.issn.1006-1959.2026.02.008
文献标志码:
A
摘要:
目的 定量评估儿童腺样体肥大(AH)合并下呼吸道感染(LRTIs)的发病风险。方法 收集2024年1月-2025年2月于西湖大学医学院附属杭州市第一人民医院行腺样体切除术的243例患儿的临床资料,根据是否合并LRTIs分为合并LRTIs组和未合并LRTIs组。通过独立样本t检验、χ2检验进行单因素分析,通过多因素Logistic分析筛选与LRTIs相关的独立危险因素并构建可视化列线图预测模型,通过受试者工作特征(ROC)曲线评估模型诊断效能、临床决策曲线(DCA)判断模型的临床应用价值、校准曲线图表示模型的预测准确度。结果 单因素分析显示AH患儿合并LRTIs与患儿年龄、BMI指数、过敏原阳性、反复上呼吸道感染史、哮喘病史、分泌性中耳炎病史、被动吸烟、运动频率、运动时间有关(P<0.05)。多因素分析结果显示,反复上呼吸道感染史、分泌性中耳炎病史是LRTIs的危险因素(OR=4.859、3.069),而运动时间≥30 min/次(OR=0.266)为保护性因素,差异均有统计学意义(P<0.05)。基于以上危险因素构建相关列线图预测模型,经评估显示该模型的AUC为0.78(95%CI:0.70~0.86),提示列线图模型具有较准确的预测能力。结论 本研究使用列线图方法建立的预测模型有助于对临床工作中对儿童AH合并LRTIs情况进行风险预测,以便尽早对高危患儿进行预防和治疗。
Abstract:
Objective To quantitatively assess the risk of adenoidal hypertrophy (AH) complicated with lower respiratory tract infections (LRTIs) in children. Methods The clinical data of 243 children who underwent adenoidectomy in Affiliated Hangzhou First People′s Hospital, School of Medicine, Westlake University from January 2024 to February 2025 were collected. According to whether LRTIs were combined, they were divided into LRTIs group and non-LRTIs group. Univariate analysis was performed by independent sample t test and χ2 test. Multivariate Logistic analysis was used to screen independent risk factors related to LRTIs and construct a visual nomogram prediction model. The diagnostic efficacy of the model was evaluated by receiver operating characteristic (ROC) curve. The clinical application value of the model was judged by clinical decision curve (DCA), and the prediction accuracy of the model was represented by calibration curve. Results Univariate analysis showed that AH children with LRTIs were related to age, BMI index, positive allergen, history of repeated upper respiratory tract infection, history of asthma, history of secretory otitis media, passive smoking, exercise frequency and exercise time (P<0.05). Multivariate analysis showed that history of recurrent upper respiratory tract infection and secretory otitis media were risk factors for LRTIs (OR=4.859, 3.069), while exercise time ≥30 min/time (OR=0.266) was a protective factor, the differences were statistically significant (P<0.05). Based on the above risk factors, a related nomogram prediction model was constructed. The evaluation showed that the AUC of the model was 0.78 (95%CI: 0.70-0.86), suggesting that the nomogram model had a more accurate predictive ability. Conclusion The prediction model established by the nomogram method in this study is helpful to predict the risk of AH combined with LRTIs in children during clinical work, so as to prevent and treat high-risk children as soon as possible.

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更新日期/Last Update: 1900-01-01