Association between Mean Ocular Perfusion Pressure and Diabetic Retinopathy in a Northeastern Chinese Population

ZHAI Gang LIN Zhong WANG Feng Hua WANG Yu LI Dong WEN Liang DING Xiao Xia JIANG Jing FENG Ke Mi LIANG Yuan Bo XIE Cong

ZHAI Gang, LIN Zhong, WANG Feng Hua, WANG Yu, LI Dong, WEN Liang, DING Xiao Xia, JIANG Jing, FENG Ke Mi, LIANG Yuan Bo, XIE Cong. Association between Mean Ocular Perfusion Pressure and Diabetic Retinopathy in a Northeastern Chinese Population[J]. Biomedical and Environmental Sciences, 2020, 33(9): 701-707. doi: 10.3967/bes2020.091
Citation: ZHAI Gang, LIN Zhong, WANG Feng Hua, WANG Yu, LI Dong, WEN Liang, DING Xiao Xia, JIANG Jing, FENG Ke Mi, LIANG Yuan Bo, XIE Cong. Association between Mean Ocular Perfusion Pressure and Diabetic Retinopathy in a Northeastern Chinese Population[J]. Biomedical and Environmental Sciences, 2020, 33(9): 701-707. doi: 10.3967/bes2020.091

doi: 10.3967/bes2020.091

Association between Mean Ocular Perfusion Pressure and Diabetic Retinopathy in a Northeastern Chinese Population

Funds: The study was supported by the Liaoning Provincial Natural Science Foundation of China [20170540328]; Zhejiang Provincial Natural Science Foundation of China [LQ18H120004]; and Wenzhou Basic Scientific Research Project [Y20190632]
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    Author Bio:

    ZHAI Gang, male, born in 1961, Bachelor Degree, majoring in retina & vitreous

    Corresponding author: GANG Zhai, E-mail: fsyanbing@163.com
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  • Table  1.   Characteristics of patients with or without diabetic retinopathy by sex

    ItemOverallMenWomen
    No DR
    (n = 1,151)
    DR
    (n = 706)
    PNo DR
    (n = 491)
    DR
    (n = 277)
    PNo DR
    (n = 660)
    DR
    (n = 429)
    P
    Age61.7 ± 8.761.1 ± 8.60.1661.2 ± 9.459.6 ± 8.40.0162.0 ± 8.262.1 ± 8.50.91
    Male, n (%)491 (42.7)277 (39.2)0.15
    Duration of diabetes (years)5.7 ± 4.810.6 ± 6.2< 0.0015.2 ± 4.610.5 ± 6.2< 0.0016.1 ± 4.910.6 ± 6.2< 0.001
    FPG (mmol/L)8.7 ± 2.910.4 ± 3.9< 0.0018.9 ± 2.910.7 ± 4.0< 0.0018.6 ± 2.910.3 ± 3.9< 0.001
    HbA1c (%)7.4 ± 1.98.3 ± 2.1< 0.0017.4 ± 1.98.5 ± 2.2< 0.0017.4 ± 1.88.2 ± 2.1< 0.001
    BMI (kg/m2)26.49 ± 3.4326.23 ± 3.420.1126.44 ± 3.1425.99 ± 2.960.05126.52 ± 3.6326.38 ± 3.680.054
    SBP (mmHg)144.47 ± 22.80152.15 ± 23.39< 0.001143.71 ± 21.27150.45 ± 21.82< 0.001145.04 ± 23.88153.25 ± 24.30< 0.001
    DBP (mmHg)77.08 ± 10.9277.80 ± 12.030.1978.95 ± 11.0679.87 ± 12.580.3175.69 ± 10.6276.46 ± 11.480.25
    High BP, n (%)654 (56.8)496 (70.2)< 0.001289 (58.9)191 (69.0)0.006365 (55.3)305 (71.1)< 0.001
    MAP99.54 ± 12.96102.58 ± 13.84< 0.001100.53 ± 12.64103.40 ± 13.780.00498.80 ± 13.15102.06 ± 13.87< 0.001
    IOP15.63 ± 3.5915.66 ± 3.160.8615.49 ± 3.5315.42 ± 3.060.7915.74 ± 3.6415.81 ± 3.220.73
    High IOP, n (%)84 (7.3)34 (4.8)0.0337 (7.5)10 (3.6)0.0347 (7.1)24 (5.6)0.32
    MOPP50.73 ± 8.4352.73 ± 9.15< 0.00151.54 ± 8.3853.51 ± 9.250.00350.13 ± 8.4352.23 ± 9.07< 0.001
      Note. FPG: fasting plasma glucose; HbA1c: glycosylated hemoglobin A1c; BMI: body mass index; SBP: systolic blood pressure; DBP: diastolic blood pressure; MAP: mean arterial pressure; IOP: intraocular pressure; MOPP: mean ocular perfusion pressure; DR: diabetic retinopathy. High BP is defined as SBP ≥ 140 mmHg or DBP ≥ 90 mmHg; high IOP is defined as IOP ≥ 21 mmHg.
    下载: 导出CSV

    Table  2.   MOPP values by sex in the study population

    ItemOverallMaleFemale
    nMean ± SDPnMean ± SDPnMean ± SDP
    Overall1,857 51.49 ± 8.7776852.25 ± 8.751,089 50.96 ± 8.74
    Retinopathy
     No DR1,151 50.73 ± 8.43Ref49151.54 ± 8.38Ref66050.13 ± 8.43Ref
     Any DR70652.73 ± 9.15< 0.00127753.51 ± 9.250.00342952.23 ± 9.07< 0.001
      NPDR63952.74 ± 9.23Sig25153.32 ± 9.30Sig38852.37 ± 9.18Sig
      PDR 6752.62 ± 8.40NS 2655.33 ± 8.71NS 4150.89 ± 7.82NS
      Non-STDR51652.72 ± 9.44Sig20553.19 ± 9.68NS31152.40 ± 9.28Sig
      STDR19052.76 ± 8.34Sig 7254.41 ± 7.88Sig11851.76 ± 8.48NS
    Maculopathy
     No ME1,548 51.17 ± 8.64Ref65651.86 ± 8.72Ref89250.67 ± 8.56Ref
     ME25053.01 ± 9.260.002 8954.78 ± 8.750.00316152.03 ± 9.410.070
      Non-CSME12053.58 ± 10.08Sig 4255.80 ± 9.35Sig 7852.39 ± 10.31NS
      CSME13052.47 ± 8.43NS 4753.87 ± 8.17NS 8351.69 ± 8.52NS
      Note. MOPP: mean ocular perfusion pressure; DR: diabetic retinopathy; NPDR: non-proliferative DR; PDR: proliferative DR; STDR: sight-threatening DR; ME: macular edema; CSME: clinically significant ME; SD: standard deviation; Ref: reference group; Sig: significant; NS: not significant.
    下载: 导出CSV

    Table  3.   Factors associated with MOPP in the study population

    Factorsβ coefficient95% CIStandardized β coefficientP valueVIF
    Sex (male, female)−0.90−1.78, −0.03−0.050.041.23
    Fasting plasma glucose (mmol/L)0.130.02, 0.250.050.031.04
    Body mass index (kg/m2)0.400.28, 0.510.15< 0.0011.05
    Waist/hip ratio5.91−0.20, 12.020.040.061.04
    Serum creatinine (μmmol/L)0.030.01, 0.060.080.0021.21
    Blood urea nitrogen (mmol/L)−0.12−0.24, 0.01−0.040.061.06
    Low-density lipoprotein (mmol/L)0.580.15, 1.000.060.011.07
    High-density lipoprotein (mmol/L)−1.26−2.34, −0.17−0.050.021.09
    Urine protein level (5 levels)0.710.43, 0.990.11< 0.0011.03
      Note. CI: confidence interval; MOPP: mean ocular perfusion pressure; VIF: variance inflation factor.
    下载: 导出CSV

    Table  4.   PLEASE SEE the table of the supplement word file in reply email, since it was changed much

    Risk factors OR (95% CI) P value
    MOPP (mmHg) 1.03 (1.02, 1.04) < 0.001
    Age (years) 0.98 (0.97, 0.99) 0.002
    Refractive error (diopter) 1.07 (1.02, 1.11) 0.002
    Income level (3 levels) 0.76 (0.62, 0.92) 0.006
    Duration of DM (years) 1.17 (1.15, 1.20) < 0.001
    Fasting plasma glucose (mmol/L) 1.07 (1.02, 1.11) 0.003
    HbA1c (%) 1.12 (1.05, 1.20) 0.001
    Total cholesterol (mmol/L) 1.09 (1.00, 1.20) 0.056
    Total triglycerides (mmol/L) 0.90 (0.84, 0.97) 0.005
    Urine protein level (5 levels) 1.17 (1.08, 1.26) < 0.001
      Note. OR: odds ratio; CI: confidence interval; MOPP: mean ocular perfusion pressure; DM: diabetes mellitus; HbA1c: glycosylated hemoglobin A1c.
    下载: 导出CSV

    Table  5.   Multivariate logistic regression analysis of MOPP (per 1 mmHg) for the prevalence/severity of DR and ME

    ItemOR (95% CI)P value
    No DR vs. Any DR1.03 (1.02, 1.04)< 0.001
    No DR vs. NPDR1.03 (1.02, 1.04)< 0.001
    NPDR vs. PDR0.99 (0.96, 1.03)0.660
    No DR vs. non-STDR1.03 (1.01, 1.04)< 0.001
    non-STDR vs. STDR1.00 (0.98, 1.02)0.750
    No ME vs. ME1.02 (1.01, 1.04)0.008
    Non-CSME vs. CSME0.99 (0.96, 1.02)0.350
      Note. MOPP: mean ocular perfusion pressure; DR: diabetic retinopathy; ME: macular edema; NPDR: non-proliferative DR; PDR: proliferative DR; CSME: clinically significant ME; OR: odds ratio; CI: confidence interval; STDR: sight-threatening DR. The multivariate logistic regression models adjusted for MOPP, age, refractive error, income level, duration of diabetes mellitus, fasting blood glucose, HbA1c, total cholesterol, total triglycerides, and urine protein level.
    下载: 导出CSV
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Association between Mean Ocular Perfusion Pressure and Diabetic Retinopathy in a Northeastern Chinese Population

doi: 10.3967/bes2020.091
    基金项目:  The study was supported by the Liaoning Provincial Natural Science Foundation of China [20170540328]; Zhejiang Provincial Natural Science Foundation of China [LQ18H120004]; and Wenzhou Basic Scientific Research Project [Y20190632]
    作者简介:

    ZHAI Gang, male, born in 1961, Bachelor Degree, majoring in retina & vitreous

    通讯作者: GANG Zhai, E-mail: fsyanbing@163.com

English Abstract

ZHAI Gang, LIN Zhong, WANG Feng Hua, WANG Yu, LI Dong, WEN Liang, DING Xiao Xia, JIANG Jing, FENG Ke Mi, LIANG Yuan Bo, XIE Cong. Association between Mean Ocular Perfusion Pressure and Diabetic Retinopathy in a Northeastern Chinese Population[J]. Biomedical and Environmental Sciences, 2020, 33(9): 701-707. doi: 10.3967/bes2020.091
Citation: ZHAI Gang, LIN Zhong, WANG Feng Hua, WANG Yu, LI Dong, WEN Liang, DING Xiao Xia, JIANG Jing, FENG Ke Mi, LIANG Yuan Bo, XIE Cong. Association between Mean Ocular Perfusion Pressure and Diabetic Retinopathy in a Northeastern Chinese Population[J]. Biomedical and Environmental Sciences, 2020, 33(9): 701-707. doi: 10.3967/bes2020.091
    • Diabetic retinopathy (DR) is an important global public health issue. Hyperglycemia initiates a number of pathological vascular processes including blood vessel dilation, increased capillary permeability, microaneurysm, and lipid and blood cell exudation. However, the mechanisms underlying these processes remain poorly understood. According to Starling and Laplace’s law, reduced retinal blood flow may lead to decreased capillary hydrostatic pressure, resulting in decreased leakage out of compromised retinal capillaries[1,2]. Moreover, studies also showed that increased retinal blood flow was associated with DR progression[3-5]. Because the blood flow through any tissue is generated by perfusion pressure, the mean ocular perfusion pressure (MOPP) is presumably associated with DR.

      The association between MOPP and DR has been reported in previous studies[4,6-8]. However, the conclusions drawn about this association have been inconsistent. In both cross-sectional and longitudinal studies, researchers have found that higher MOPP is associated with DR, macular edema, and hard exudation[4,6,7]. However, another cross-sectional epidemiological study did not observe this association[8]. Furthermore, studies examining this association in Asian patients are rare.

      MOPP is clinically modifiable because it is the difference between two thirds of the mean arterial pressure (MAP) and the intraocular pressure (IOP) (MOPP = 2⁄3 MAP − IOP). An improved understanding of the association between MOPP, DR, and maculopathy will have potential clinical implications. This study therefore investigated the association between MOPP and DR using information from the Fushun Diabetic Retinopathy Cohort Study (FS-DIRECT), a community-based study, in patients with type 2 diabetes mellitus (T2DM) in northeastern China.

    • The details of the rationale, design, and methodology of the FS-DIRECT study are described elsewhere[9]. Residents of Jiangjun Street, Fushin City, who were aged 30 or older and had T2DM were recruited between July 2012 and May 2013. The Fushun Eye Hospital Ethics Committee approved this study. Written informed consent was obtained from all subjects. The inclusion criteria for this study were that each subject had available data regarding their level of DR and MOPP.

    • DM was diagnosed according to the criteria suggested by the American Diabetes Association[10].

      For each subject, six stereoscopic macula images in different fields of color were captured by certified photographers using a 45° nonmydriatic retinal camera (Kowa, VK-2, Tokyo, Japan) after pupil dilation. These fundus photographs were graded in a masked manner according to the modified Airlie House Classification system[11]. The retinopathy level was graded accordingly: (1) no DR (levels 10–20); (2) nonproliferative DR [NPDR, mild (levels 31–37), moderate DR (levels 43–47), or severe DR (level 53)] or (3) proliferative DR (PDR, levels 60–85). Macular edema (ME) was defined as the presence of retinal thickening within 1 disk diameter of the foveal center or as the presence of focal photocoagulation scars in the macular area. Clinically significant ME (CSME) was defined as the presence of either (1) retinal thickening within 500 μm of the macula, or focal photocoagulation scars; (2) hard exudates within 500 μm of the macula with adjacent retinal thickening; (3) retinal thickening of more than one optic disc area within one optic disc diameter of the macula. Mild and moderate NPDR were considered to be non-sight-threatening DR (non-STDR), while severe NPDR, PDR, and CSME were considered to be sight-threatening DR (STDR).

    • Blood pressures were recorded from patients’ right arms in the sitting position after at least 5 min of rest using an electronic sphygmomanometer (HEM-8102A; Omron Healthcare, Kyoto, Japan) according to a protocol similar to that used in the Multi-ethnic Study of Atherosclerosis[12]. The patients were advised not to smoke and drink coffee or strong tea half an hour before the measurements. Measurement was performed again 3 min later. The measurement was performed the third time if the two systolic blood pressure (SBP) data were different by more than 10 mmHg or if the diastolic blood pressure (DBP) data were different by more than 5 mmHg. The two closest readings were averaged to calculate the mean SBP and DBP.

      IOP was measured using an iCare rebound tonometer (iCare, Helsinki, Finland) from each patient in the sitting position. Six measurements were obtained from the central cornea of each eye, and the data were averaged after excluding the highest and lowest values. Only quality measurements (indicated by zero to one bar on the device) were accepted.

      MOPP was calculated according to the formula MOPP = 2⁄3 [DBP + 1⁄3 (SBP − DBP)] − IOP.

    • Because DR and IOP levels in the right and left eyes were highly correlated (Pearson correlation coefficient: 0.87 and 0.84, respectively), for simplicity, only data obtained from patients’ right eyes were used for further analyses.

      Normally distributed parameters are presented as the mean ± standard deviation. T-tests or analyses of variance were performed to compare groups relative to either patients with no DR or patients with no ME, respectively. Bonferroni tests were used for pairwise comparisons such as comparing MOPP between patients with no DR and patients with either NPDR or PDR. Chi-square tests were performed to analyze discrete categorical data. Multivariate linear regression was performed (in a stepwise manner) to determine the association between MOPP and factors such as age, sex, refractive error, education level, income level, duration of DM, fasting plasma glucose (FPG), HbA1c, body mass index (BMI), waist-to-hip ratio (WHR), serum creatinine, blood urea nitrogen, blood uric acid, total cholesterol (TC), total triglycerides (TG), low-density lipoprotein (LDL), high-density lipoprotein (HDL), and urine protein level. Multivariate logistical regressions were performed for the association between presence/stage of DR and risk factors.

      Statistical analyses were performed using Statistical Analysis System for Windows, version 9.1.3 (SAS Inc., Cary, NC). A P value less than 0.05 was considered to indicate statistical significance.

    • A total of 1,857 patients (male 768, 41.4%) were enrolled in this study. Mean age of the patients was 61.5 ± 8.7 years and mean DM duration was 7.6 ± 5.9 years. Mean SBP, DBP, and IOP were 147.39 ± 23.32 mmHg, 77.35 ± 11.36 mmHg, and 15.6 ± 3.4 mmHg, respectively. Male patients had lower SBP (146.14 ± 21.70 vs. 148.27 ± 24.37 mmHg, P = 0.048) and higher DBP (79.28 ± 11.63 vs. 75.99 ± 10.96 mmHg, P < 0.001) relative to their female counterparts. There was no significant difference in IOP between males and females (15.5 ± 3.4 vs. 15.8 ± 3.5 mmHg, P = 0.06). A total of 61.9% of patients had mean SBP ≥ 140 mmHg or DBP ≥ 90 mmHg, while 6.4% patients had an IOP ≥ 21 mmHg. Table 1 shows the characteristics of patients with or without DR by sex.

      Table 1.  Characteristics of patients with or without diabetic retinopathy by sex

      ItemOverallMenWomen
      No DR
      (n = 1,151)
      DR
      (n = 706)
      PNo DR
      (n = 491)
      DR
      (n = 277)
      PNo DR
      (n = 660)
      DR
      (n = 429)
      P
      Age61.7 ± 8.761.1 ± 8.60.1661.2 ± 9.459.6 ± 8.40.0162.0 ± 8.262.1 ± 8.50.91
      Male, n (%)491 (42.7)277 (39.2)0.15
      Duration of diabetes (years)5.7 ± 4.810.6 ± 6.2< 0.0015.2 ± 4.610.5 ± 6.2< 0.0016.1 ± 4.910.6 ± 6.2< 0.001
      FPG (mmol/L)8.7 ± 2.910.4 ± 3.9< 0.0018.9 ± 2.910.7 ± 4.0< 0.0018.6 ± 2.910.3 ± 3.9< 0.001
      HbA1c (%)7.4 ± 1.98.3 ± 2.1< 0.0017.4 ± 1.98.5 ± 2.2< 0.0017.4 ± 1.88.2 ± 2.1< 0.001
      BMI (kg/m2)26.49 ± 3.4326.23 ± 3.420.1126.44 ± 3.1425.99 ± 2.960.05126.52 ± 3.6326.38 ± 3.680.054
      SBP (mmHg)144.47 ± 22.80152.15 ± 23.39< 0.001143.71 ± 21.27150.45 ± 21.82< 0.001145.04 ± 23.88153.25 ± 24.30< 0.001
      DBP (mmHg)77.08 ± 10.9277.80 ± 12.030.1978.95 ± 11.0679.87 ± 12.580.3175.69 ± 10.6276.46 ± 11.480.25
      High BP, n (%)654 (56.8)496 (70.2)< 0.001289 (58.9)191 (69.0)0.006365 (55.3)305 (71.1)< 0.001
      MAP99.54 ± 12.96102.58 ± 13.84< 0.001100.53 ± 12.64103.40 ± 13.780.00498.80 ± 13.15102.06 ± 13.87< 0.001
      IOP15.63 ± 3.5915.66 ± 3.160.8615.49 ± 3.5315.42 ± 3.060.7915.74 ± 3.6415.81 ± 3.220.73
      High IOP, n (%)84 (7.3)34 (4.8)0.0337 (7.5)10 (3.6)0.0347 (7.1)24 (5.6)0.32
      MOPP50.73 ± 8.4352.73 ± 9.15< 0.00151.54 ± 8.3853.51 ± 9.250.00350.13 ± 8.4352.23 ± 9.07< 0.001
        Note. FPG: fasting plasma glucose; HbA1c: glycosylated hemoglobin A1c; BMI: body mass index; SBP: systolic blood pressure; DBP: diastolic blood pressure; MAP: mean arterial pressure; IOP: intraocular pressure; MOPP: mean ocular perfusion pressure; DR: diabetic retinopathy. High BP is defined as SBP ≥ 140 mmHg or DBP ≥ 90 mmHg; high IOP is defined as IOP ≥ 21 mmHg.

      Table 2 shows the mean MOPP value for male, female, and combined male and female patients. Mean MOPP for all patients was 51.49 ± 8.77 mmHg. Male patients had a higher MOPP than female patients (52.25 ± 8.75 vs. 50.96 ± 8.74 mmHg, P = 0.002). Both male and female patients (and combined male and female patients) with any type of DR or NPDR had significantly higher MOPP values than patients without DR. Male patients (and combined male and female patients) with ME also had significantly higher MOPP values than did patients without ME.

      Table 2.  MOPP values by sex in the study population

      ItemOverallMaleFemale
      nMean ± SDPnMean ± SDPnMean ± SDP
      Overall1,857 51.49 ± 8.7776852.25 ± 8.751,089 50.96 ± 8.74
      Retinopathy
       No DR1,151 50.73 ± 8.43Ref49151.54 ± 8.38Ref66050.13 ± 8.43Ref
       Any DR70652.73 ± 9.15< 0.00127753.51 ± 9.250.00342952.23 ± 9.07< 0.001
        NPDR63952.74 ± 9.23Sig25153.32 ± 9.30Sig38852.37 ± 9.18Sig
        PDR 6752.62 ± 8.40NS 2655.33 ± 8.71NS 4150.89 ± 7.82NS
        Non-STDR51652.72 ± 9.44Sig20553.19 ± 9.68NS31152.40 ± 9.28Sig
        STDR19052.76 ± 8.34Sig 7254.41 ± 7.88Sig11851.76 ± 8.48NS
      Maculopathy
       No ME1,548 51.17 ± 8.64Ref65651.86 ± 8.72Ref89250.67 ± 8.56Ref
       ME25053.01 ± 9.260.002 8954.78 ± 8.750.00316152.03 ± 9.410.070
        Non-CSME12053.58 ± 10.08Sig 4255.80 ± 9.35Sig 7852.39 ± 10.31NS
        CSME13052.47 ± 8.43NS 4753.87 ± 8.17NS 8351.69 ± 8.52NS
        Note. MOPP: mean ocular perfusion pressure; DR: diabetic retinopathy; NPDR: non-proliferative DR; PDR: proliferative DR; STDR: sight-threatening DR; ME: macular edema; CSME: clinically significant ME; SD: standard deviation; Ref: reference group; Sig: significant; NS: not significant.

      Table 3 shows the multivariate linear regression results for the factors associated with MOPP. Table 4 shows the association between DR prevalence and the risk factors. In a stepwise multivariate regression model, we found that sex, FPG, BMI, serum creatinine, LDL, HDL, and urine protein levels were significantly associated with MOPP. Furthermore, WHR and blood urea nitrogen were almost significantly associated with MOPP (Table 3). We also found that MOPP, age, refractive error, income level, DM duration, FPG, HbA1c, TG, and urine protein levels were significantly associated with DR after adjusting for MOPP and similar risk factors in a multivariate logistical model. Furthermore, TC was almost significantly associated with DR (Table 4).

      Table 3.  Factors associated with MOPP in the study population

      Factorsβ coefficient95% CIStandardized β coefficientP valueVIF
      Sex (male, female)−0.90−1.78, −0.03−0.050.041.23
      Fasting plasma glucose (mmol/L)0.130.02, 0.250.050.031.04
      Body mass index (kg/m2)0.400.28, 0.510.15< 0.0011.05
      Waist/hip ratio5.91−0.20, 12.020.040.061.04
      Serum creatinine (μmmol/L)0.030.01, 0.060.080.0021.21
      Blood urea nitrogen (mmol/L)−0.12−0.24, 0.01−0.040.061.06
      Low-density lipoprotein (mmol/L)0.580.15, 1.000.060.011.07
      High-density lipoprotein (mmol/L)−1.26−2.34, −0.17−0.050.021.09
      Urine protein level (5 levels)0.710.43, 0.990.11< 0.0011.03
        Note. CI: confidence interval; MOPP: mean ocular perfusion pressure; VIF: variance inflation factor.

      Table 4.  PLEASE SEE the table of the supplement word file in reply email, since it was changed much

      Risk factors OR (95% CI) P value
      MOPP (mmHg) 1.03 (1.02, 1.04) < 0.001
      Age (years) 0.98 (0.97, 0.99) 0.002
      Refractive error (diopter) 1.07 (1.02, 1.11) 0.002
      Income level (3 levels) 0.76 (0.62, 0.92) 0.006
      Duration of DM (years) 1.17 (1.15, 1.20) < 0.001
      Fasting plasma glucose (mmol/L) 1.07 (1.02, 1.11) 0.003
      HbA1c (%) 1.12 (1.05, 1.20) 0.001
      Total cholesterol (mmol/L) 1.09 (1.00, 1.20) 0.056
      Total triglycerides (mmol/L) 0.90 (0.84, 0.97) 0.005
      Urine protein level (5 levels) 1.17 (1.08, 1.26) < 0.001
        Note. OR: odds ratio; CI: confidence interval; MOPP: mean ocular perfusion pressure; DM: diabetes mellitus; HbA1c: glycosylated hemoglobin A1c.

      In further logistic analyses, after adjusting for factors remaining in the previous multivariate regression model, we found that increased MOPP (per 1 mmHg) was significantly associated with the presence of any type of DR [odds (OR) = 1.03, 95% confidence interval (CI): 1.02–1.04, P < 0.001], NPDR (OR = 1.03, 95% CI: 1.02–1.04, P < 0.001), and non-STDR (OR = 1.03, 95% CI: 1.01–1.04, P < 0.001). Moreover, increased MOPP (per 1 mmHg) was found to be associated with increased ME likelihood (OR = 1.02, 95% CI: 1.01–1.04, P = 0.008). However, no significant association was found between MOPP and PDR, non-STDR and STDR, or non-CSME and CSME (Table 5) relative to NPDR.

      Table 5.  Multivariate logistic regression analysis of MOPP (per 1 mmHg) for the prevalence/severity of DR and ME

      ItemOR (95% CI)P value
      No DR vs. Any DR1.03 (1.02, 1.04)< 0.001
      No DR vs. NPDR1.03 (1.02, 1.04)< 0.001
      NPDR vs. PDR0.99 (0.96, 1.03)0.660
      No DR vs. non-STDR1.03 (1.01, 1.04)< 0.001
      non-STDR vs. STDR1.00 (0.98, 1.02)0.750
      No ME vs. ME1.02 (1.01, 1.04)0.008
      Non-CSME vs. CSME0.99 (0.96, 1.02)0.350
        Note. MOPP: mean ocular perfusion pressure; DR: diabetic retinopathy; ME: macular edema; NPDR: non-proliferative DR; PDR: proliferative DR; CSME: clinically significant ME; OR: odds ratio; CI: confidence interval; STDR: sight-threatening DR. The multivariate logistic regression models adjusted for MOPP, age, refractive error, income level, duration of diabetes mellitus, fasting blood glucose, HbA1c, total cholesterol, total triglycerides, and urine protein level.
    • Previous studies examining the association between MOPP and DR are rare, and to the best of our knowledge, no such studies examined this association in a Chinese population. As MOPP can be measured easily and modified clinically, data concerning MOPP and its association with both DR and maculopathy have clinical significance and would aid future intervention studies. This study measured MOPP in patients with T2DM living in northeastern China, analyzed factors associated with MOPP, and determined the association between MOPP and DR. In this study, we found that male patients with T2DM had higher MOPP and DBP values than their female counterparts. Furthermore, sex was significantly associated with MOPP after adjusting for confounders such as fasting blood glucose[13] and body mass index (BMI)[8]. This finding was consistent with that reported in a previous population-based study that examined patients with open-angle glaucoma in a Malay population. The authors found that men had higher MOPP and DBP values than women[14]. However, in an Indian population-based study, Raman et al.[8] reported that female patients with T2DM had higher MOPP and SBP values than male patients. This discrepancy may due to the higher BMI and the reduced health seeking behavior of women on the Indian subcontinent. In addition to sex and BMI, we found that urine protein levels and serum creatinine levels were also associated with MOPP and had relatively high standardized β coefficients, highlighting the association between nephropathy and MOPP. This association was also reported by Raman et al.[8]

      In this study, male and female (and combined male and female) patients with any type of DR, NPDR, and non-STDR had higher MOPP values than patients without DR. MOPP was also higher in male and combined male and female patients with ME than in patients without ME. These results were consistent with those reported in previous studies[4,8]. In an Indian population-based study, Raman et al.[8] reported that combined male and female patients with any DR, male patients with STDR or CSME, and female patients with any DR or non-STDR had higher MOPP values.

      Notably, the differences in MOPP between this study and Raman et al.[8] were small (< 6 mmHg). In another clinical study, Patel et al.[4] reported that MOPP values were higher in patients with DR than in non-diabetes control subjects and higher in patients with PDR than in patients with diabetes but without retinopathy. In contrast, Langham et al.[15] found that choroidal blood flow decreases with the severity of DR. Although they did not study retinal perfusion directly, they speculated that this phenomenon was due to increased choroidal vascular resistance and decreased choroidal perfusion pressure. It should be mentioned that their speculation was based on indirect evidence of choroidal pulsatile blood flow using a relatively small sample size (n = 52).

      The association between MOPP and the prevalence/severity of DR was further supported by the multivariate logistic analyses performed in this study. We found that a higher MOPP increased the risk of DR, NPDR, and ME. In a 4 year longitudinal population-based study, Moss et al.[6] reported that the multivariate odds ratio of DR after a 10 mmHg increase in ocular perfusion pressure was 2.13 in young-onset patients (95% CI, 1.30–3.50). Roy and Klein[7] reported that patients with type 1 diabetes and high MOPP were approximately twice as likely to have macular edema (OR, 95% CI: 2.16, 1.20–3.88) and severe hard exudates (OR, 95% CI: 2.08, 1.11–3.88) relative to patients with type 1 diabetes and low MOPP, even after adjusting for the diabetes duration. However, in an Indian population-based study, Raman et al.[8] found no association between MOPP and DR in either male or female (or combined male and female) patients after sequentially adjusting for risk factors.

      Although studies directly examining the association between MOPP and DR are rare, many studies have assessed the relationship between retinal blood flow and DR[3-5,16-18]. A series of studies have reported that increased retinal blood flow is associated with background DR[3-5], preproliferative DR, and PDR[4]. Konno et al.[16] reported a transition from low to high retinal blood flow and increased retinopathy in patients with an increasingly longer duration of type 1 diabetes, suggesting that abnormal retinal blood flow (either high or low) is harmful to the retina. Using the non-invasive Heidelberg Retinal Flowmeter, Cuypers et al.[17] reported a stable trend of increasing retinal capillary flow in response to increasingly severe DR (from diabetes patients without DR to patients with severe non-proliferative DR). However, Man et al.[18] denied that this association exists in patients with either type 1 or type 2 diabetes.

      Recent studies that have used optical coherence tomography angiography (OCTA) to examine retinal capillary density or the retinal nonperfusion area have consistently reported a stable decrease of capillary perfusion density in patients with increasingly advanced DR. This finding appears paradoxical in light of our current results[19-24]. For example, Agemy et al. found that capillary perfusion density values were significantly lower in nearly all layers of all study groups than in controls[19]. Ishibazawa et al.[21] found a greater nonperfusion area in patients with PDR than in those with moderate NPDR. Notably, because MOPP was calculated from brachial blood pressure and IOP, MOPP does not represent retinal blood flow, retinal capillary density, or nonperfusion area directly. Furthermore, structural and hemodynamic changes in retinal blood vessels are complex pathological events that are not yet fully understood, warranting further study.

      The medications used to manage systemic blood pressure and IOP should also be considered as confounders because MOPP was calculated from systemic blood pressure and IOP. However, one limitation of this study is that detailed information regarding patients’ antihypertensive therapies was unavailable. Because only 15 patients (0.8%) reported taking antiglaucoma medication (by questionnaire) and because excluding these patients from the analysis did not affect our results (e.g., OR, 95% CI for no DR vs. NPDR: 1.03, 1.02–1.04), we believe that the influence of antiglaucoma medication on our results was negligible.

      This study had several limitations. First, although we found an association between MOPP and DR, our cross-sectional data cannot make causal determinations. Second, IOP was not measured using the standard Goldmann applanation tonometer method. However, because the inter-device agreement and consistency between the Goldmann applanation tonometer and the iCare rebound tonometer are good (intraclass correlation coefficient 0.77, mean difference 0.44 mmHg)[25], we believe our MOPP calculations are accurate. Third, as mentioned above, the potential confounders regarding antihypertensive therapy were not adjusted for in our multivariate analyses.

      In conclusion, this study examined the factors associated with MOPP in patients with T2DM in a northeastern Chinese population. The factors assessed were sex, FPG, BMI, serum creatinine, and urine protein levels. More importantly, a higher MOPP was associated with NPDR, non-STDR, and macular edema.

    • The authors thank Dr. Nived Moonasar (Caribbean Eye Institute, Valsayn, Trinidad and Tobago) for his invaluable assistance in revising this manuscript.

    • The authors declare that there are no conflicts of interest. This manuscript has not been published previously, and it is not simultaneously being considered for publication elsewhere.

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