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首页> 外文期刊>Investigative ophthalmology & visual science >Association of Serum Lipids With Macular Thickness and Volume in Type 2 Diabetes Without Diabetic Macular Edema
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Association of Serum Lipids With Macular Thickness and Volume in Type 2 Diabetes Without Diabetic Macular Edema

机译:2型糖尿病无糖尿病性黄斑水肿时血脂与黄斑厚度和体积的关系

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Purpose.: To assess the relationship between macular thickness and volume as characterized by optical coherence tomography (OCT) and known risk factors for diabetic retinopathy (DR) or macular edema (DME) in type 2 diabetic patients with no DME. Methods.: Seventy-four patients with type 2 diabetes without DME and no or only minimal DR (n = 67 with no DR; n = 7 with minimal DR; mean age, 59.5 years) were recruited at a tertiary eye hospital. Central subfield macular thickness (CSMT; circle of 500-??m radius) and central subfield macular volume (CSMV) were measured using spectral-domain OCT. Associations between OCT parameters and known risk factors for DR were examined using multiple linear regression models. Results.: The mean CSMT and CSMV values were 273.7 ?± 17.8 ??m and 0.215 ?± 0.015 mm3, respectively. After adjusting for age, sex, duration of diabetes, hemoglobin A1c, and urine protein, low-density lipoprotein (LDL) cholesterol was positively associated with CSMT and CSMV; each 1 mmol/L increase in LDL was associated with a mean increase in CSMT of 6.52 ??m (95% confidence interval [CI], 1.96a??11.08; P = 0.006) and a mean increase in CSMV of 0.0047 mm3 (95% CI, 0.001a??0.0085; P = 0.015). Conclusions.: A higher LDL cholesterol level was associated with increased CSMT and CSMV in diabetic patients without DME. Prospective longitudinal studies are warranted to assess whether having both elevated levels of LDL and higher CSMT or CSMV is a risk indicator for subsequent development of DME.
机译:目的:评估在没有DME的2型糖尿病患者中,以光学相干断层扫描(OCT)和已知的糖尿病性视网膜病变(DR)或黄斑水肿(DME)危险因素为特征的黄斑厚度与体积之间的关系。方法:在三级眼科医院招募了74例无DME且无DR或仅有极少DR的2型糖尿病患者(n = 67无DR; n = 7且无DR;平均年龄为59.5岁)。使用光谱域OCT测量中央子视野黄斑厚度(CSMT;半径为500μm的圆)和中央子视野黄斑体积(CSMV)。使用多个线性回归模型检查了OCT参数与已知的DR危险因素之间的关联。结果:CSMT和CSMV的平均值分别为273.7Ω±17.8Ω·m和0.215Ω±0.015mm3。在调整了年龄,性别,糖尿病持续时间,血红蛋白A1c和尿蛋白后,低密度脂蛋白(LDL)胆固醇与CSMT和CSMV呈正相关。 LDL每增加1 mmol / L,CSMT平均增加6.52?m(95%置信区间[CI],1.96a?11.08; P = 0.006),CSMV平均增加0.0047 mm3( 95%CI,0.001a≤0.0085; P = 0.015)。结论:没有DME的糖尿病患者,较高的LDL胆固醇水平与CSMT和CSMV升高有关。有必要进行前瞻性纵向研究,以评估同时升高的LDL水平和较高的CSMT或CSMV是否是随后DME发展的危险指标。

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