Abstract：
The aim of the study was to investigate the socio-demographic factors and systemic conditions associated with non-arteritic anterior ischaemic optic neuropathy (NAION).
This was a nationwide population-based retrospective case-controlled study that recruited 9,261 NAION patients selected from the Taiwan National Health Insurance Research Database. The control group consisted of 9,261 age-, sex-, and index date-matched non-NAION patients recruited from the Taiwan Longitudinal Health Insurance Database, 2000. NAION was designated in the database by the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) as \"code 377.41: ischaemic optic neuropathy without ICD-9-CM code 446.5: giant cell arteritis.\" Associated socio-demographic factors and systemic medical conditions were analysed using the McNemar\'s test, and continuous variables were analysed using the paired t test. The odds ratio (OR) and adjusted OR of developing NAION were compared using univariate logistic regression and multivariable logistic regression analyses, respectively.
Patients with systemic conditions such as diabetes mellitus, hypertension, hyperlipidaemia, chronic kidney disease, and hypotension were more likely to develop NAION than controls (adjusted OR = 1.81, 95% confidence interval [CI] = 1.67-1.97, p < 0.0001; adjusted OR = 1.46, 95% CI = 1.36-1.57, p < 0.0001; adjusted OR = 1.44, 95% CI = 1.33-1.57, p < 0.0001; adjusted OR = 3.26, 95% CI = 2.65-4.01, p < 0.0001; adjusted OR = 2.32, 95% CI = 1.31-4.10, p = 0.0039, respectively).
NAION is strongly associated with diabetes mellitus, hypertension, hyperlipidaemia, chronic kidney disease, and hypotension.
This was a nationwide population-based retrospective case-controlled study that recruited 9,261 NAION patients selected from the Taiwan National Health Insurance Research Database. The control group consisted of 9,261 age-, sex-, and index date-matched non-NAION patients recruited from the Taiwan Longitudinal Health Insurance Database, 2000. NAION was designated in the database by the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) as \"code 377.41: ischaemic optic neuropathy without ICD-9-CM code 446.5: giant cell arteritis.\" Associated socio-demographic factors and systemic medical conditions were analysed using the McNemar\'s test, and continuous variables were analysed using the paired t test. The odds ratio (OR) and adjusted OR of developing NAION were compared using univariate logistic regression and multivariable logistic regression analyses, respectively.
Patients with systemic conditions such as diabetes mellitus, hypertension, hyperlipidaemia, chronic kidney disease, and hypotension were more likely to develop NAION than controls (adjusted OR = 1.81, 95% confidence interval [CI] = 1.67-1.97, p < 0.0001; adjusted OR = 1.46, 95% CI = 1.36-1.57, p < 0.0001; adjusted OR = 1.44, 95% CI = 1.33-1.57, p < 0.0001; adjusted OR = 3.26, 95% CI = 2.65-4.01, p < 0.0001; adjusted OR = 2.32, 95% CI = 1.31-4.10, p = 0.0039, respectively).
NAION is strongly associated with diabetes mellitus, hypertension, hyperlipidaemia, chronic kidney disease, and hypotension.
摘要：
目的：探讨与非动脉炎性前部缺血性视神经病变（NAION）相关的社会人口统计学因素和全身状况。
方法：这是一项全国性的基于人群的回顾性病例对照研究，从台湾国家健康保险研究数据库中选取了9,261名NAION患者。对照组包括9,261年龄-，sex-,以及从台湾纵向健康保险数据库招募的指数日期匹配的非NAION患者，2000.NAION被国际疾病分类指定在数据库中，第九次修订,临床修改（ICD-9-CM）为“代码377.41：无ICD-9-CM的缺血性视神经病变代码446.5：巨细胞动脉炎”。使用McNemar测试分析相关的社会人口统计学因素和全身医疗状况，和连续变量使用配对t检验进行分析。使用单变量逻辑回归和多变量逻辑回归分析比较发展NAION的比值比（OR）和调整OR，分别。
结果：患有糖尿病等全身性疾病的患者，高血压,高脂血症,慢性肾病,低血压比对照组更容易发生NAION(调整后OR=1.81,95%CI=1.67-1.97,p<0.0001;调整后OR=1.46,95%CI=1.36-1.57,p<0.0001;调整后OR=1.44,95%CI=1.33-1.57,p<0.0001;调整后OR=3.26,95%CI=2.65-4.01,p<1.39;居住在台湾东部或大都市的患者发展NAION的几率更高。月收入在新台币30,000到新台币90,000之间的患者以及其他工作的患者的NAIONOR也显着较高。
结论：NAION与糖尿病密切相关，高血压,高脂血症,慢性肾病,和低血压。
方法：这是一项全国性的基于人群的回顾性病例对照研究，从台湾国家健康保险研究数据库中选取了9,261名NAION患者。对照组包括9,261年龄-，sex-,以及从台湾纵向健康保险数据库招募的指数日期匹配的非NAION患者，2000.NAION被国际疾病分类指定在数据库中，第九次修订,临床修改（ICD-9-CM）为“代码377.41：无ICD-9-CM的缺血性视神经病变代码446.5：巨细胞动脉炎”。使用McNemar测试分析相关的社会人口统计学因素和全身医疗状况，和连续变量使用配对t检验进行分析。使用单变量逻辑回归和多变量逻辑回归分析比较发展NAION的比值比（OR）和调整OR，分别。
结果：患有糖尿病等全身性疾病的患者，高血压,高脂血症,慢性肾病,低血压比对照组更容易发生NAION(调整后OR=1.81,95%CI=1.67-1.97,p<0.0001;调整后OR=1.46,95%CI=1.36-1.57,p<0.0001;调整后OR=1.44,95%CI=1.33-1.57,p<0.0001;调整后OR=3.26,95%CI=2.65-4.01,p<1.39;居住在台湾东部或大都市的患者发展NAION的几率更高。月收入在新台币30,000到新台币90,000之间的患者以及其他工作的患者的NAIONOR也显着较高。
结论：NAION与糖尿病密切相关，高血压,高脂血症,慢性肾病,和低血压。
