Epidemiological analysis on the systemic risk factors for the idiopathic macular membrane in the community residents over 60 years old

doi:10.3877/cma.j.issn.2095-2007.2022.05.005

Abstract

Abstract:

Objective

To explore the systemic risk factors of the idiopathic macular membrane (IMEM) in community population over 60 years old.

Methods

2853 inhabitants (5686 eyes) over 60 years old in Tianzhu Town of Beijing Shunyi District from March 2017 to November 2017 were selected. The data of their physical examination was collected. Among them, there were 1309 males (2600 eyes) and 1544 females (3086 eyes) with the average age of (65.3±4.6) years-old (ranged from 60 to 83 years-old). The questionnaires were including the basic information questionnaire, general physical examination, routine ophthalmic examination, and color fundus photography. The population who meet the IMEM inclusion criteria were defined as the IMEM group; the control group was defined as a 1: 1 randomly selected according to the method of random number table from those with matching sex and age in other inhabitants without IMEM. The age, waist circumference, body mass index, blood pressure, and blood biochemical indices were collected, described by (±s) and compared by independent sample t-test. The gender, daily lifestyle, dietary habit, hypertension history and other systemic chronic diseases were collected, described by the number of cases and percentage, and compared by chi-square test. Logistic regression was used to analyze the systemic factors related to IMEM.

Results

Among of 2853 cases (5686 eyes), there were 177 patients (212 eyes) with IMEM, including 62 males (70 eyes) and 115 females (142 eyes). The average age was (67.5±5.2) years-old (ranged from 60 to 81 years-old). The difference for the waist circumference, systolic blood pressure, low density lipoprotein (LDL) and fasting blood glucose of the two groups were statistically significant (t=-2.73, 2.26, -3.21, 2.13; P<0.05). And the history of hypertension and diabetes had significant statistical difference (χ² = 4.52, 4.98; P<0.05). By single factor Logistic regression analysis, the correlation between systemic factors such as hypertension history, diabetes history, waist circumference, systolic blood pressure, low-density lipoprotein and fasting blood glucose and IMEM was statistically significant(OR= 0.60, 0.62, 1.03, 0.99, 1.81, 0.91; 95%CI: 0.38 to 0.96, 0.41 to 0.94, 1.01 to1.04, 0.98 to 0.998, 1.25 to 2.63, 0.84 to 0.994; P<0.05). After removing the indicators with collinearity, the correlation between waist circumference and LDL and IMEM was statistically significant through multiple factor Logistic regression analysis(OR= 1.03, 2.15; 95%CI: 1.01 to 1.05, 1.41 to 3.26; P<0.05).

Conclusions

Large waist circumference and high level of LDL are the systemic risk factors for IMEM in people over 60 years old.

Key words: The idiopathic macular membrane, Waist circumference, Low density lipoprotein, Related factors

Yueyan Xiao, Wenbin Wei, Ping Xi, Bo Gao, Jianan Wang, Yunyun Geng, Min Zheng, Fengying Jiao. Epidemiological analysis on the systemic risk factors for the idiopathic macular membrane in the community residents over 60 years old[J]. Chinese Journal of Ophthalmologic Medicine(Electronic Edition), 2022, 12(05): 281-286.

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Figures/Tables 5

References 35

[1]	Fraser－Bell S, Guzowski M, Rochtchina E, et al. Five－year cumulative incidence and progression of epiretinal membranes: the Blue Mountains Eye Study[J]. Ophthalmology, 2003, 110(1): 34-40.
[2]	Smiddy WE, Maguire AM, Green WR, et al. Idiopathic epiretinal membranes. Ultrastructural characteristics and clinicopathologic correlation[J]. Ophthalmology, 1989, 96(6): 811-820.
[3]	Scheerlinck LM, van der Valk R, van Leeuwen R. Predictive factors for postoperative visual acuity in idiopathic epiretinal membrane: a systematic review[J]. Acta Ophthalmol, 2015, 93(3): 203-212.
[4]	Klein R, Klein BE, Wang Q, et al. The epidemiology of epiretinal membranes[J]. Trans Am Ophthalmol Soc. 1994, 92: 403-425.
[5]	McCarty DJ, Mukesh BN, Chikani V, et al. Prevalence and associations of epiretinal membranes in the visual impairment project[J]. Am J Ophthalmol, 2005, 140(2): 288-294.
[6]	Mitchell P, Smith W, Chey T, et al. Prevalence and associations of epiretinal membranes: the Blue Mountains Eye Study, Australia[J]. Ophthalmology, 1997, 104(6): 1033-1040.
[7]	Duan XR, Liang YB, Friedman DS, et al. Prevalence and associations of epiretinal membranes in a rural Chinese adult population: the Handan Eye Study[J]. Invest Ophthalmol Vis Sci, 2009, 50(5): 2018-2023.
[8]	You Q, Xu L, Jonas JB. Prevalence and associations of epiretinal membranes in adult Chinese: the Beijing eye study[J]. Eye (Lond), 2008, 22(7): 874-879.
[9]	Miyazaki M, Nakamura H, Kubo M, et al. Prevalence and risk factors for epiretinal membranes in a Japanese population: the Hisayama study[J]. Graefes Arch Clin Exp Ophthalmol, 2003, 241(8): 642-646.
[10]	陈浩宇主译. 糖尿病视网膜病变筛查手册：诊断和处理[M]. 北京：人民卫生出版社，2016：65-66.
[11]	Joshi M, Agrawal S, Christoforidis JB. Inflammatory mechanisms of idiopathic epiretinal membrane formation [J]. Mediators Inflamm, 2013: 192582.
[12]	Foos RY. Vitreoretinal juncture－simple epiretinal membranes[J]. Albrecht v Graefes Arch Klin Exp Ophthalmol, 1974, 189(4): 231-250.
[13]	Kampik A. Pathology of epiretinal membrane, idiopathic macular hole, and vitreomacular traction syndrome [J]. Retina, 2012, 32(Suppl 2): S194-S198.
[14]	Wiznia RA. Posterior vitreous detachment and idiopathic preretinal macular gliosis[J]. Am J Ophthalmol, 1986, 102(2): 196-198.
[15]	Akîncĝolu D, Özge G, Küĝükevcilioĝlu M, et al. Surgical Outcomes of Idiopathic Epiretinal Membrane: the Gülhane Experience[J]. Turk J Ophthalmol, 2018, 48(2): 75-80.
[16]	汪向利，马建军. 特发性视网膜前膜的临床分类及胶原测定[J]. 国际眼科杂志，2017，17(4):775-777.
[17]	Semeraro F, Morescalchi F, Duse S, et al. Current Trends about Inner Limiting Membrane Peeling in Surgery for Epiretinal Membranes[J]. J Ophthalmol, 2015: 671905.
[18]	Minchiotti S, Stampachiacchiere B, Micera A, et al. Human idiopathic epiretinal membranes express NGF and NGF receptors[J]. Retina, 2008, 28(4): 628-637.
[19]	Bu SC, Kuijer R, van der Worp RJ, et al. Immunohistochemical Evaluation of Idiopathic Epiretinal Membranes and In Vitro Studies on the Effect of TGF－β on Müller Cells[J]. Invest Ophthalmol Vis Sci, 2015, 56(11): 6506-6514.
[20]	Russo A, Ragusa M, Barbagallo C, et al. miRNAs in the vitreous humor of patients affected by idiopathic epiretinal membrane and macular hole[J]. PLoS One, 2017, 12(3): e0174297.
[21]	Wang SZ, Tong QH, Wang HY, et al. The Association between Smoking and Epiretinal Membrane[J]. Sci Rep, 2016, 29(6): 38038.
[22]	Cheung N, Tan SP, Lee SY, et al. Prevalence and risk factors for epiretinal membrane: the Singapore Epidemiology of Eye Disease study[J]. Br J Ophthalmol, 2017，101(3): 371-376.
[23]	Qiu QH, Chen ZY, Yin LL, et al. Effects of estrogen on collagen gel contraction by human retinal glial cells[J]. Chin Med J (Engl), 2012, 125(22): 4098-4103.
[24]	Bae JH, Song SJ, Lee MY. Five－year incidence and risk factors for idiopathic epiretinal membranes[J]. Retina, 2019, 39(4): 753-760.
[25]	Ye H, Zhang Q, Liu X, et al. Prevalence and associations of epiretinal membrane in an elderly urban Chinese population in China: the Jiangning Eye Study[J]. Br J Ophthalmol, 2015, 99(12): 1594-1597.
[26]	Kawasaki R, Wang JJ, Mitchell P, et al. Racial difference in the prevalence of epiretinal membrane between Caucasians and Asians[J]. Br J Ophthalmol, 2008, 92(10): 1320-1324.
[27]	Orhan C, Akdemir F, Tuzcu M, et al. Mesozeaxanthin Protects Retina from Oxidative Stress in a Rat Model[J]. J Ocul Pharmacol Ther, 2016, 32(9): 631-637.
[28]	Ishida S, Usui T, Yamashiro K, et al. VEGF164 is proinflammatory in the diabetic retina[J]. Invest Ophthalmol Vis Sci, 2003, 44(5): 2155-2162.
[29]	Jiao X, Ventruto V, Trese MT, et al. Autosomal recessive familial exudative vitreoretinopathy is associated with mutations in LRP5[J]. Am J Hum Genet, 2004, 75(5): 878-884.
[30]	Xia CH, Yablonka－Reuveni Z, Gong X. LRP5 is required for vascular development in deeper layers of the retina[J]. PLoS One, 2010, 5(7): e11676.
[31]	王文绢，王克安，李天麟，等．体重指数、腰围和腰臀比预测高血压、高血糖的实用价值及其建议值探讨[J]. 中华流行病学杂志，2002，23(1):16-19.
[32]	Cheng TO. Central obesity is a more sensitive predictor of cardiovascular disease than body mass index in the Chinese population[J]. Int J Cardiol, 2009, 135(3): 385.
[33]	丁虹，吴松华，林辛，等. 2型糖尿病家系一级亲属同胞腰臀股围的变化[J]. 中国糖尿病杂志，2002，10(5):4-6.
[34]	王倩，李风军. Logistic回归模型的变量选择[J]．统计与决策，2021，37(16):48-51.
[35]	韩宏志，官鑫，李欣欣，等. 医学论文中logistic回归分析的误用及案例分析[J]．编辑学报，2018，30(6):586-588.

组别	年龄(岁)	腰围(cm)	BMI(Kg/m²)	收缩压(mmHg)	舒张压(mmHg)	肌酐( mol/L)	尿素氮(mmol/L)	甘油三酯(mmol/L)	高密度脂蛋白(mmol/L)	低密度脂蛋白(mmol/L)	总胆固醇(mmol/L)
IMEM组	67.53±5.16	91.82±11.78	28.2±6.73	138.79±17.96	82.93±14.6	89.51±32.71	6.26±2.07	1.64±1.18	1.46±0.34	1.92±0.58	4.85±0.92
对照组	67.77 ±4.58	88.31 ±12.31	27.05 ±3.25	143.01 ±18.08	85.92±14.41	86.18±17.58	6.08±1.58	1.57±0.77	1.50±0.43	1.72±0.57	4.80±1.04
t/χ²值	0.47	－2.73	－1.89	2.26	1.93	－1.19	－0.88	－0.57	0.95	－3.21	－0.51
P值	>0.05	<0.05	>0.05	<0.05	>0.05	>0.05	>0.05	>0.05	>0.05	<0.05	>0.05
组别	空腹血糖(mmol/L)	男性[例(%)]	高血压史[例(%)]	糖尿病史[例(%)]	冠心病史[例(%)]	肿瘤[例(%)]	高脂血症[例(%)]	哮喘病史[例(%)]	高盐饮食[例(%)]	吸烟[例(%)]	饮酒[例(%)]
IMEM组	7.25±2.34	62(35.0%)	118(66.7%)	79(44.6%)	24(13.6%)	2(1.1%)	52(29.4%)	5(2.8%)	10(5.6%)	4(2.3%)	6(3.4%)
对照组	7.83±2.77	63(35.6%)	136(76.8%)	100(56.5%)	16(9.0%)	1(0.6%)	40(22.6%)	1(0.6%)	16(9.0%)	5(2.8%)	5(2.8%)
t/χ²值	2.13	0.01^*	4.52^*	4.98^*	1.80^*	0.34^*	2.12^*	2.71^*	1.49^*	0.11^*	0.09^*
P值	<0.05	>0.05	<0.05	<0.05	>0.05	>0.05	>0.05	>0.05	>0.05	>0.05	>0.05

组别	年龄(岁)	腰围(cm)	BMI(Kg/m²)	收缩压(mmHg)	舒张压(mmHg)	肌酐( mol/L)	尿素氮(mmol/L)	甘油三酯(mmol/L)	高密度脂蛋白(mmol/L)	低密度脂蛋白(mmol/L)	总胆固醇(mmol/L)
IMEM组	67.53±5.16	91.82±11.78	28.2±6.73	138.79±17.96	82.93±14.6	89.51±32.71	6.26±2.07	1.64±1.18	1.46±0.34	1.92±0.58	4.85±0.92
对照组	67.77 ±4.58	88.31 ±12.31	27.05 ±3.25	143.01 ±18.08	85.92±14.41	86.18±17.58	6.08±1.58	1.57±0.77	1.50±0.43	1.72±0.57	4.80±1.04
t/χ²值	0.47	－2.73	－1.89	2.26	1.93	－1.19	－0.88	－0.57	0.95	－3.21	－0.51
P值	>0.05	<0.05	>0.05	<0.05	>0.05	>0.05	>0.05	>0.05	>0.05	<0.05	>0.05
组别	空腹血糖(mmol/L)	男性[例(%)]	高血压史[例(%)]	糖尿病史[例(%)]	冠心病史[例(%)]	肿瘤[例(%)]	高脂血症[例(%)]	哮喘病史[例(%)]	高盐饮食[例(%)]	吸烟[例(%)]	饮酒[例(%)]
IMEM组	7.25±2.34	62(35.0%)	118(66.7%)	79(44.6%)	24(13.6%)	2(1.1%)	52(29.4%)	5(2.8%)	10(5.6%)	4(2.3%)	6(3.4%)
对照组	7.83±2.77	63(35.6%)	136(76.8%)	100(56.5%)	16(9.0%)	1(0.6%)	40(22.6%)	1(0.6%)	16(9.0%)	5(2.8%)	5(2.8%)
t/χ²值	2.13	0.01^*	4.52^*	4.98^*	1.80^*	0.34^*	2.12^*	2.71^*	1.49^*	0.11^*	0.09^*
P值	<0.05	>0.05	<0.05	<0.05	>0.05	>0.05	>0.05	>0.05	>0.05	>0.05	>0.05

组别	红细胞压积(%)	红细胞平均体积(fL)	红细胞体积分布宽度(%)	血小板压积(%)	血小板平均体积(fL)	血小板体积分布宽度(%)	血沉(mm/h)	压积(l/l)	全血高切相对指数
IMEM组	42.02±3.38	90.75±4.37	12.59±0.73	0.25±0.06	10.59±0.84	11.94±1.74	5.42±1.97	0.41±0.05	2.32±1.20
对照组	41.98±3.28	90.76±4.70	12.49±0.74	0.25±0.06	10.66±0.92	11.81±1.62	5.28±1.97	0.42±0.03	2.21±0.55
t值	－0.11	0.01	－1.32	1.33	0.79	－0.70	－0.67	1.41	－1.12
P值	>0.05	>0.05	>0.05	>0.05	>0.05	>0.05	>0.05	>0.05	>0.05
组别	全血低切相对指数	血沉方程k值	红细胞聚集指数	全血低切还原粘度(mpa·s)	全血高切还原粘度(mpa·s)	红细胞变形指数(tk)	红细胞刚性指数	卡松粘度(mpa·s)	血浆粘度(mpa·s)
IMEM组	11.15±2.69	19.15±7.71	5.05±0.94	36.75±10.78	4.61±2.05	0.70±0.75	3.05±1.62	2.36±1.17	1.52±0.24
对照组	10.66±2.85	18.64±7.90	4.91±0.84	35.32±10.08	4.35±1.81	0.71±0.86	2.87±1.15	2.29±0.51	1.64±0.87
t值	－1.65	－0.61	－1.56	－1.29	－1.29	0.17	－1.21	－0.68	1.75
P值	>0.05	>0.05	>0.05	>0.05	>0.05	>0.05	>0.05	>0.05	>0.05

组别	红细胞压积(%)	红细胞平均体积(fL)	红细胞体积分布宽度(%)	血小板压积(%)	血小板平均体积(fL)	血小板体积分布宽度(%)	血沉(mm/h)	压积(l/l)	全血高切相对指数
IMEM组	42.02±3.38	90.75±4.37	12.59±0.73	0.25±0.06	10.59±0.84	11.94±1.74	5.42±1.97	0.41±0.05	2.32±1.20
对照组	41.98±3.28	90.76±4.70	12.49±0.74	0.25±0.06	10.66±0.92	11.81±1.62	5.28±1.97	0.42±0.03	2.21±0.55
t值	－0.11	0.01	－1.32	1.33	0.79	－0.70	－0.67	1.41	－1.12
P值	>0.05	>0.05	>0.05	>0.05	>0.05	>0.05	>0.05	>0.05	>0.05
组别	全血低切相对指数	血沉方程k值	红细胞聚集指数	全血低切还原粘度(mpa·s)	全血高切还原粘度(mpa·s)	红细胞变形指数(tk)	红细胞刚性指数	卡松粘度(mpa·s)	血浆粘度(mpa·s)
IMEM组	11.15±2.69	19.15±7.71	5.05±0.94	36.75±10.78	4.61±2.05	0.70±0.75	3.05±1.62	2.36±1.17	1.52±0.24
对照组	10.66±2.85	18.64±7.90	4.91±0.84	35.32±10.08	4.35±1.81	0.71±0.86	2.87±1.15	2.29±0.51	1.64±0.87
t值	－1.65	－0.61	－1.56	－1.29	－1.29	0.17	－1.21	－0.68	1.75
P值	>0.05	>0.05	>0.05	>0.05	>0.05	>0.05	>0.05	>0.05	>0.05

项目	高血压史[例(%)]	糖尿病史[例(%)]	腰围(cm)	低密度脂蛋白(mmol/L)
回归系数	－0.42	－0.22	0.03	0.76
标准误	0.26	0.24	0.01	0.21
瓦尔德	2.54	0.89	7.35	12.81
优势比	0.66	0.80	1.03	2.15
95%CI	0.39~1.10	0.51~1.27	1.01~1.05	1.41~3.26
P值	>0.05	>0.05	<0.05	<0.05

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