108139
论文已发表
注册即可获取德孚的最新动态
IF 收录期刊
- 3.4 Breast Cancer (Dove Med Press)
- 3.2 Clin Epidemiol
- 2.6 Cancer Manag Res
- 2.9 Infect Drug Resist
- 3.7 Clin Interv Aging
- 5.1 Drug Des Dev Ther
- 3.1 Int J Chronic Obstr
- 6.6 Int J Nanomed
- 2.6 Int J Women's Health
- 2.9 Neuropsych Dis Treat
- 2.8 OncoTargets Ther
- 2.0 Patient Prefer Adher
- 2.2 Ther Clin Risk Manag
- 2.5 J Pain Res
- 3.0 Diabet Metab Synd Ob
- 3.2 Psychol Res Behav Ma
- 3.4 Nat Sci Sleep
- 1.8 Pharmgenomics Pers Med
- 2.0 Risk Manag Healthc Policy
- 4.1 J Inflamm Res
- 2.0 Int J Gen Med
- 3.4 J Hepatocell Carcinoma
- 3.0 J Asthma Allergy
- 2.2 Clin Cosmet Investig Dermatol
- 2.4 J Multidiscip Healthc
已发表论文
在无传统混杂因素的中国阻塞性睡眠呼吸暂停患者中甘油三酯-葡萄糖指数的状况：一项倾向评分匹配的横断面研究
Authors Zhang J , Chen B , Chen T , Lai R , Ye Z, Liao Z, Xu Y, Zhu S, Yang A, Hong H
Received 16 April 2025
Accepted for publication 29 June 2025
Published 29 September 2025 Volume 2025:17 Pages 2411—2421
DOI https://doi.org/10.2147/NSS.S522084
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 3
Editor who approved publication: Dr Marco Veneruso
Jun Zhang,1,* Baoyi Chen,1,* Tengyu Chen,1,* Renjie Lai,1 Zhongkang Ye,1 Zhenpeng Liao,1 Yingxiang Xu,1 Shan Zhu,1 Anni Yang,1 Haiyu Hong1– 3
1Department of Otolaryngology, Head and Neck Surgery, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, People’s Republic of China; 2Allergy Center, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, People’s Republic of China; 3Sleep Medicine Centre, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Haiyu Hong, Department of Otolaryngology, Head and Neck Surgery, Allergy Center, Sleep Medicine Centre, The Fifth Affiliated Hospital of Sun Yat-sen University, 52 of Meihua East Road, Zhuhai, Guangdong Province, 519000, People’s Republic of China, Tel +86-07562528832, Email honghy@mail.sysu.edu.cn Anni Yang, Department of Otolaryngology, Head and Neck Surgery, the Fifth Affiliated Hospital of Sun Yat-sen University, 52 of Meihua East Road, Zhuhai, Guangdong Province, 519000, People’s Republic of China, Tel +86-07562528832, Email yangann@mail.sysu.edu.cn
Background: Obstructive sleep apnea (OSA) affects nearly one billion adults globally and significantly increases cardiovascular and metabolic risks, largely due to insulin resistance (IR). The triglyceride-glucose (TyG) index is a validated, cost-effective surrogate for IR. However, studies report conflicting associations between the TyG index and the presence or severity of OSA, possibly due to confounding factors such as age, gender, and obesity (BMI). This study aimed to clarify the independent TyG–OSA relationship by adjusting for confounders using propensity score matching (PSM).
Methods: This cross-sectional study included 394 patients with OSA (apnea-hypopnea index [AHI] ≥ 5 events/hour) and 285 controls (AHI < 5 events/hour). PSM (1:1) balanced groups for age, gender, height, weight, and BMI. Differences in the TyG index between groups and across OSA severity (mild, moderate, severe) were analyzed pre- and post-PSM. Predictive performance was assessed using receiver operating characteristic (ROC) curves.
Results: Pre-PSM, the TyG index was significantly higher in patients with OSA than in controls (p < 0.001) and increased with severity (p < 0.001). Post-PSM (185 matched pairs), the TyG index remained significantly higher in moderate or severe OSA versus matched controls (p < 0.05) but not in mild OSA. ROC analysis demonstrated that PSM reduced the area under the curve (AUC) for predicting any OSA (from 0.709 to 0.628; p < 0.001) but substantially increased the AUC for predicting severe OSA (from 0.752 to 0.843; p < 0.001), improving sensitivity (0.754 to 0.796) and specificity (0.796 to 0.843).
Conclusion: This PSM analysis provides robust evidence of an independent association between the TyG index and OSA, particularly in moderate-to-severe cases. The TyG index demonstrates strong predictive value for severe OSA, supporting its utility for risk stratification and monitoring in clinical practice.
Keywords: triglyceride-glucose index, retrospective study, insulin resistance, cross-sectional study, propensity score matching, obstructive sleep apnea-hypopnea syndrome
1Department of Otolaryngology, Head and Neck Surgery, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, People’s Republic of China; 2Allergy Center, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, People’s Republic of China; 3Sleep Medicine Centre, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Haiyu Hong, Department of Otolaryngology, Head and Neck Surgery, Allergy Center, Sleep Medicine Centre, The Fifth Affiliated Hospital of Sun Yat-sen University, 52 of Meihua East Road, Zhuhai, Guangdong Province, 519000, People’s Republic of China, Tel +86-07562528832, Email honghy@mail.sysu.edu.cn Anni Yang, Department of Otolaryngology, Head and Neck Surgery, the Fifth Affiliated Hospital of Sun Yat-sen University, 52 of Meihua East Road, Zhuhai, Guangdong Province, 519000, People’s Republic of China, Tel +86-07562528832, Email yangann@mail.sysu.edu.cn
Background: Obstructive sleep apnea (OSA) affects nearly one billion adults globally and significantly increases cardiovascular and metabolic risks, largely due to insulin resistance (IR). The triglyceride-glucose (TyG) index is a validated, cost-effective surrogate for IR. However, studies report conflicting associations between the TyG index and the presence or severity of OSA, possibly due to confounding factors such as age, gender, and obesity (BMI). This study aimed to clarify the independent TyG–OSA relationship by adjusting for confounders using propensity score matching (PSM).
Methods: This cross-sectional study included 394 patients with OSA (apnea-hypopnea index [AHI] ≥ 5 events/hour) and 285 controls (AHI < 5 events/hour). PSM (1:1) balanced groups for age, gender, height, weight, and BMI. Differences in the TyG index between groups and across OSA severity (mild, moderate, severe) were analyzed pre- and post-PSM. Predictive performance was assessed using receiver operating characteristic (ROC) curves.
Results: Pre-PSM, the TyG index was significantly higher in patients with OSA than in controls (p < 0.001) and increased with severity (p < 0.001). Post-PSM (185 matched pairs), the TyG index remained significantly higher in moderate or severe OSA versus matched controls (p < 0.05) but not in mild OSA. ROC analysis demonstrated that PSM reduced the area under the curve (AUC) for predicting any OSA (from 0.709 to 0.628; p < 0.001) but substantially increased the AUC for predicting severe OSA (from 0.752 to 0.843; p < 0.001), improving sensitivity (0.754 to 0.796) and specificity (0.796 to 0.843).
Conclusion: This PSM analysis provides robust evidence of an independent association between the TyG index and OSA, particularly in moderate-to-severe cases. The TyG index demonstrates strong predictive value for severe OSA, supporting its utility for risk stratification and monitoring in clinical practice.
Keywords: triglyceride-glucose index, retrospective study, insulin resistance, cross-sectional study, propensity score matching, obstructive sleep apnea-hypopnea syndrome