围绝经期女性真菌球性鼻窦炎的代谢危险因素
Metabolic risk factors for fungal ball sinusitis in perimenopausal women.
文献信息
| PMID | 42973685 |
|---|---|
| 原文 | 在 PubMed 查看原文 ↗ |
| 发表日期 | 2026 |
| 作者 | Shi-Yun Wang |
| 作者单位 | Department of Otolaryngology-Head and Neck Surgery, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China. |
| 期刊 | Frontiers in allergy |
| SCI 分区 | Q2 |
| IF | 3.7 |
| 研究类型 | 临床研究 · 临床 |
| 所属专科 | 鼻科 |
中文摘要
目的: 真菌球性鼻窦炎(FBS)的发病率不断上升,且常见于围绝经期女性。本研究旨在探讨该特定人群中TyG-BMI、HDL-C与FBS之间的关系。
研究设计: 本单中心回顾性研究纳入2015年至2025年的FBS患者。选取45-60岁的围绝经期女性作为研究对象,并选择慢性非真菌性鼻窦炎(CNFS)患者作为对照组。比较生化指标,并按TyG-BMI四分位数对参与者进行分层。采用Logistic回归识别独立危险因素,并应用ROC曲线评估预测效能。
结果: FBS病例呈上升趋势。患者以中老年个体为主,女性患者比例显著高于男性(63.96% vs. 36.04%),女性发病高峰年龄集中在45至60岁之间。组间比较显示,FBS组的HDL-C水平显著低于CNFS组,TyG和TyG-BMI值显著高于CNFS组。随着TyG-BMI四分位数的升高,HDL-C水平逐渐下降,同时FBS患病率呈显著上升趋势(P < 0.05)。Logistic回归分析证实,HDL-C和TyG-BMI四分位数是围绝经期女性FBS的独立影响因素(分别为P = 0.008,OR = 0.482,95%CI:0.282-0.823;P = 0.04,OR = 1.192,95%CI:1.008-1.409)。ROC分析显示,TyG-BMI与HDL-C联合模型对FBS的预测价值有限。
结论: FBS的发病率逐年上升,尤其是在围绝经期女性中。HDL-C降低和TyG-BMI升高是围绝经期女性FBS的独立代谢危险因素。针对性的代谢监测和早期干预可能与较低的FBS风险相关。
英文摘要
OBJECTIVES: Rising incidence of fungal ball sinusitis (FBS) is frequently observed in perimenopausal women. This study aimed to explore the relationships between TyG-BMI, HDL-C and FBS in this specific population.
STUDY DESIGN: This single-center retrospective study enrolled FBS patients from 2015 to 2025. Perimenopausal women aged 45-60 years were selected as the study subjects, and patients with chronic non-fungal sinusitis (CNFS) were selected as the control group. Biochemical indicators were compared, and participants were stratified by TyG-BMI quartiles. Logistic regression was used to identify independent risk factors, and ROC curves were applied to assess predictive efficiency.
RESULTS: The cases of FBS showed an increasing trend. The patients were predominantly middle-aged and elderly individuals, and the proportion of female patients was significantly higher than that of males (63.96% vs. 36.04%), with the peak age of female morbidity concentrated between 45 and 60 years. Intergroup comparison demonstrated that the FBS group had significantly lower HDL-C levels and significantly higher TyG and TyG-BMI values than the CNFS group. With the elevation of TyG-BMI quartiles, the HDL-C level decreased progressively, accompanied by a significantly rising trend in the prevalence of FBS (P < 0.05). Logistic regression analysis confirmed that HDL-C and quartile of TyG-BMI were independent influence factors for FBS in perimenopausal women (P = 0.008, OR = 0.482,95%CI:0.282-0.823; P = 0.04, OR = 1.192, 95%CI:1.008-1.409; respectively). ROC analysis revealed that the combined model of TyG-BMI and HDL-C exhibited limited predictive value for FBS.
CONCLUSION: The incidence of FBS has been increasing annually, especially in perimenopausal women. Decreased HDL-C and elevated TyG-BMI are independent metabolic risk factors for FBS in perimenopausal women. Targeted metabolic monitoring and early intervention may be associated with lower FBS risk.