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与韩国新诊断格雷夫斯病患者 Graves 眼病相关的性别特异性危险因素。

Sex-specific risk factors associated with graves' orbitopathy in Korean patients with newly diagnosed graves' disease.

机构信息

Department of Applied Statistics, Chung-Ang University, Seoul, Korea.

Department of Internal Medicine, Chung-Ang University College of Medicine, Seoul, Korea.

出版信息

Eye (Lond). 2023 Nov;37(16):3382-3391. doi: 10.1038/s41433-023-02513-z. Epub 2023 Apr 11.

Abstract

OBJECTIVE

To assess sex-specific risk factors for Graves' orbitopathy (GO) in newly diagnosed Graves' disease (GD) patients.

METHODS

A retrospective cohort study was conducted using the National Health Insurance Service's sample database, which consisted of 1,137,861 subjects from 2002 to 2019. The international classification of disease-10 codes was used to identify those who developed GD (E05) and GO (H062). A multivariable Cox proportional hazards model was used to estimate the effect of risk factors on GO development.

RESULTS

Among 2145 male and 5047 female GD patients, GO occurred in 134 men (6.2%) and 293 women (5.8%). A multivariable Cox regression model revealed that GO development was significantly associated with younger age (HR = 0.84, 95% CI = 0.73-0.98), low income (HR = 0.55, 95% CI = 0.35-0.86), and heavy drinking (HR = 1.79, 95% CI = 1.10-2.90) in men, and with younger age (HR = 0.89, 95% CI = 0.81-0.98), lower body mass index (HR = 0.55, 95% CI = 0.33-0.90), high total cholesterol (HR = 1.04, 95% CI = 1.01-1.06), hyperlipidaemia (HR = 1.37, 95% CI = 1.02-1.85), and lower statin dose (HR = 0.37, 95% CI = 0.22-0.62) in women. There was no association between smoking and GO development in both men and women.

CONCLUSIONS

The risk factors for GO development were sex-dependent. These results show the need for more sophisticated attention and support considering sex characteristics in GO surveillance.

摘要

目的

评估新诊断 Graves 病(GD)患者中 Graves 眼病(GO)的性别特异性危险因素。

方法

本研究采用回顾性队列研究,使用 2002 年至 2019 年国家健康保险服务样本数据库,纳入 1137861 例受试者。使用国际疾病分类第 10 版(ICD-10)编码来识别发生 GD(E05)和 GO(H062)的患者。使用多变量 Cox 比例风险模型来评估危险因素对 GO 发病的影响。

结果

在 2145 名男性和 5047 名女性 GD 患者中,134 名男性(6.2%)和 293 名女性(5.8%)发生 GO。多变量 Cox 回归模型显示,GO 的发生与年龄较小(HR=0.84,95%CI=0.73-0.98)、低收入(HR=0.55,95%CI=0.35-0.86)和大量饮酒(HR=1.79,95%CI=1.10-2.90)显著相关。在女性中,GO 的发生与年龄较小(HR=0.89,95%CI=0.81-0.98)、较低的体重指数(HR=0.55,95%CI=0.33-0.90)、较高的总胆固醇(HR=1.04,95%CI=1.01-1.06)、高脂血症(HR=1.37,95%CI=1.02-1.85)和较低的他汀类药物剂量(HR=0.37,95%CI=0.22-0.62)相关。在男性和女性中,吸烟与 GO 的发生均无关联。

结论

GO 发病的危险因素存在性别差异。这些结果表明,在 GO 监测中需要更加关注和支持考虑性别特征。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c5dd/10630462/359528f8a61f/41433_2023_2513_Fig1_HTML.jpg

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