Associations of High Density Lipoprotein Cholesterol and Framingham Cardiovascular Risk with Diabetic Retinopathy in African Type 2 Diabetics ()
1. Introduction
Noncommunicable diseases including cardiovascular disease (CVD) and type 2 diabetes mellitus (T2DM) are a major cause of morbidity and premature mortality throughout the world. The global threat from CVD and T2DM is well established [1] -[9] . Furthermore, an overlap of risk factors between CVD and diabetic retinopathy (DR) is increasingly reported [1] -[11] . DR is the most frequent cause of visual disability (VD) worldwide.
The Framingham cardiovascular risk score (Total CVD) is often defined as the probability of an individual’s experience with a CVD event over 10 years [9] -[12] . Among different tools, high density lipoprotein (HDL-C) hypocholesterolemia predicts the absolute risk of CVD [9] -[12] , T2DM [9] , and metabolic syndrome [13] .
However, higher levels of HDL-C have been reported atherogenic (macrovascular lesions) in black Central Africans [14] -[16] , and associated with any DR in India people with 10-year Framingham Risk Score > 10% [10] .
The lack of data of this paradoxical association with microvascular complications and VD in Central Africans, justified the initiation of this research.
The objectives of this study were to assess the associations of high density lipoprotein cholesterol (HDL-C) and Framingham cardiovascular (CVD) with diabetic retinopathy (DR) and/or visual disability.
2. Materials and Methods
This was a community-based, cross-sectional study comprising 200 black T2DM patients, 20 years of age and older, and undertaken in Kinshasa Region, DRC, from October to December, 2010.
All eligible T2DM patients completed the structured and standardized interview and examination at Saint Joseph Hospital, Division of Ophthalmology, Kinshasa, DRC.
All study procedures adhered to the principles of the Declaration of Helsinki for research involving human participants. We obtained written proper consent from all study participants before data collection and approval from the Lomo Medical Center Institutional Review Board, Kinshasa, DRC.
The participants were selected by multistage system random sampling, based on the districts level of urbanization, which made the sample a true representation of Kinshasa Region.
2.1. Clinical Procedures
Participants underwent interviews, brief physical examination, laboratory measurements, and comprehensive ophthalmic examination. Detailed history included sociobiographical factors such as age, gender, residence, cigarette smoking, diets, absence of CVD, ethnicity, insulin therapy, education level, alcohol intake, and socioeconomic status (SES).
Standards were used to measure weight, height, waist-circumference, systolic blood pressure (SBP), and diastolic blood pressure (DBP).
A specialist on retina laser performed a detailed ocular history and a comprehensive eye examination, including stereo fundus photographs. All participants were selected without previous interventions for DR, corneal opacity or lenticular opacities, type 1 diabetes, neither pregnancy for women.
Laboratory evaluation consisted of measuring fasting plasma glucose (FPG), serum HDL-C, triglycerides, total cholesterol, apolipoprotein B (ApoB), low density lipoprotein (LDL)-C, insulin, vitamin C, vitamin D, vitamin E, albumin, plasma 8-hydrpxydeoxyguanosine (8-OHdG), 8-Isoprostane, superoxide dismutase (SOD), thiobarbuturic acid reacting substances (TBARS), and glycosylated hemoglobin (HbA1c). All clinical procedures are described in detail elsewhere [17] [18] .
The 10-year Framingham CVD risk was estimated using information from the Framingham Heart Study such as age, gender, smoking status, SBP, serum total cholesterol and HDL-C [18] -[21] .
2.2. Definitions
T2DM was defined according to the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus (DM) [22] .
The total CVD score was classified as 10-year Framingham high risk (≥10%), and 10-year Framingham low (<10%) [18] .
Overweight/overall obesity was defined by body mass index (Weight in kg/(height in m)2) ≥ 25 kg/m2. Using International Diabetes Federation criteria (IDF Europe), metabolic syndrome (MS) was diagnosed in participants who had abdominal obesity (Waist ≥ 94 cm in men and ≥80 cm in women) plus two or more of the following abnormalities: FPG ≥ 100 mg/dL, triglycerides ≥ 150 mg/dL, low HDL-C < 40 mg/dL in men and <50 mg/dL in women, SBP ≥ 130 mmHg or DBP ≥ 85 mmHg [23] .
Stratification of HDL-C was defined in 3 groups: low with HDL-C < 40 mg/dL, normal with HDL-C = 40 - 74.9 mg/dL, and high HDL-C ≥ 75 mg/dL according to criteria of MS modified and validated for Africans [14] -[16] .
The relative homeostasis model-based insulin resistance (HOMA-IR) was calculated using the formula of Mathews: HOMA-IR = (fasting insulin × fasting plasma glucose)/405 [24] . HOMA-IR ≥ 2.5 is the optimal cutoff point (Sensitivity = 93.3% and Specificity = 100%) to define insulin resistance in Central Africans [25] .
Lack of clinical management of T2DM included no glycemic control by FPG ≥ 126 mg/dL and no HbA1c control with HbA1c ≥ 7%.
DR was defined based on the modified Klein classification of the Early Treatment Diabetic Retinopathy Study Scale with severe non-proliferative DR, proliferative DR (PDR) and clinically significant macular edema (DME), grading done by two independent investigators in a masked fashion [26] with excellent grading agreement (kappa = 0.864).
Severe non proliferative diabetic retinopathy (NPDR), proliferative diabetic retinopathy (PDR) and/or DME using the classification are modified by the Early Treatment Diabetic Retinopathy Study [27] . Visual disability (VD) was defined as blindness and visual impairment (low vision) using the World Health Organization and explained in our previous studies [17] [18] .
2.3. Statistical Analysis
Data were presented as proportions (%) for categorical variables and mean ± standard deviation for continuous variables.
The univariate association between variables and DR was assessed by comparing percentages using the Chisquare test, comparing means using the Student t-test, and Odds ratio (OR) and 95% confidence interval (95% CI) using contingency tables.
The multivariate analysis such as logistic regression models (Stepwise, Forward Wald) was used to assess the independent association between DR and putative determinants in avoiding collinearity and adjusting for confounding factors in all participants, among all, low HDL-C group, normal HDL-C group, high HDL-C group, and 10-year Framingham risk ≥ 10% group.
All statistical analyses were two-sided and a P-value < 0.05 was considered statistically significant. Data analysis was carried out using the Statistical Package for social Sciences (SPSS) for Windows version 19 (SPSS Inc, Chicago, IL, USA).
3. Results
3.1. Prevalence of DR
Out of 200 T2DM patients, 120 (35.5%) had DR and out of DR patients, 116 (n = 96.7%) had VD. There was a significant (P < 0.0001) U-shaped relationship between DR rates and HDL-C stratification: the highest (57.8% n = 9/20), the intermediate (45% n = 25/116), and the lowest (21.6% n = 25/116) rates of DR being concurrent with highest HDL-C group, lowest.
3.2. Univariate Association of Risk Indicators
Univariate association of DR with sociobiographical and lifestyle factors is presented in Table 1. Gender, abdominal obesity, larger PP, alcohol intake, migration, age of T2DM onset, and overweight/obesity did not have a statistically significant association with DR. However, higher rates of history of smoking status, MS, insulin therapy, low intake of Fumbwa leaves, low education level, no glycemic control, low intake of beans, no HbA1c control, and low SES were significantly associated with DR (Table 1).
The association of cardiometabolic and oxidative stress factors with presence of DR by univariate analysis is presented in Table 2. For cardiometabolic effect, there was a significant univariate association between insulin resistance, elevated ApoB, high 10-year Framingham risk including low HDL-C, and DR presence. However, low HDL-C was not significantly associated with DR. Except paradoxical association between elevated SOD and DR presence, the rest of markers of imbalance of oxidant/antioxidant (deficiency of serum vitamins D, C and E and albumin, but elevated levels of 8-OHdG, 8-Isoprostane and TBARS) were significantly associated with DR presence.
3.3. Independent Determinants of DR
No independent variables were included in the first model of logistic regression performed to explain (predict) DR in T2DM patients with low HDL-C.
After adjusting for smoking status, insulin therapy, education level, insulin resistance, HbA1c control, serum albumin, and MS, Table 3 presents the results of the second stepwise logistic regression analysis in T2DM patients with normal HDL-C. The presence of DR was independently associated with elevated 8-OHdG (marker of oxidative stress) and high 10-year Framingham risk.
Table 4 shows the findings of the third stepwise logistic regression analysis in T2DM patients with high HDL-C. After adjusting for education level, insulin resistance, HbA1c control, MS, serum albumin and 8-OHdG, only smoking status and high 10-year Framingham risk were independently associated with DR prevalence among participants with high HDL-C.
In considering continuous levels of HDL-C, three factors were significantly associated with DR in T2DM patients with 10-year Framingham risk ≥ 10% (Table 5). Indeed, in the fourth model of the stepwise logistic regression after adjusting for insulin therapy, education level, HbA1c control, serum albumin, vitamin C, and 8- OHdG, the multivariate risk (Odds) of DR in group with high Framingham CVD risk, was multiplied by 5 times, 10 times and 3.4% excess by smoking status, insulin resistance, and increase in 1 mg of HDL-C, respectively.
4. Discussion
This study was conducted to estimate the prevalence of VD, DR and its sight-threatening end points (PDR and DME) as well as the relationship between independent determinants and DR.
4.1. Prevalence
These findings were related to a representative estimates on the prevalence for VD, DR and VTDR among T2DM Central Africans. Prevalences of 35% for DR and 13% for VTDR were valid using photography and similar to global estimates of any DR of 34.6% and 14% of VTDR [28] . DR prevalences vary considerably worldwide because ethnic groups, races, periods, SES, methodologies, environment, and sample size [28] -[30] .
Various criteria used in ascertaining Diabetes mellitus status and types may also explain the disparities of DR prevalences estimated worldwide [28] -[33] .
The present study showed unexpected high estimates for VD prevalence which was 31%. Furthermore, VD, DR and sight threatening complication of T2DM disproportionately and specifically affect black Central Africans as reported from racial and ethnic populations from other continents [34] [35] .
4.2. Univariate Risk Indicators for DR
4.2.1. U-Shaped Relationship between DR, VD, and HDL-C Stratification
Reverse epidemiology was suggested by U-shaped relationship between rates of DR, VD, and HDL-C stratification among these T2DM Central Africans. Type 2 diabetic Central Africans exhibit very high rates of uncontrolled diabetes, atherosclerotic complications, insulin resistance, and metabolic syndrome at both low and very
Table 1. Association between sociobiographical and lifestyle factors and DR.
Table 2. Association of oxidant/antioxidant status and cardiometabolic factors with DR.
Table 3. Independent determinants of DR prevalence among type 2 diabetics with normal HDL-C.
Table 4. Independent determinants for DR among type 2 diabetics with high HDL-C.
Adjusted for education level, insulin resistance, HbA1c, serum albumin, MS, and 8-OHdG.
Table 5. Independent association between smoking, IR, increase in unit of HDL-C and prevalent DR among type 2 diabetics with 10-year Framingham risk ≥ 10%.
high HDL-C levels [36] [37] .
According to the paper from Isezuo on native Africans with T2DM [38] , our findings demonstrate that classical dichotomization of HDL-C (low/bad vs. high/good HDL-C) is controversial and not useful in the management of the cardiometabolic risk, VD, and DR.
Indeed, compared with high/good HDL-C level, low HDL-C level had similar neutral effect on DR prevalence in this study.
In not stratifying HDL-C and confirmed by other authors [1] -[11] [31] -[41] , traditional cardiovascular disease (CVD) risk factors such as smoking status, MS, high 10-year Framingham risk, insulin therapy, low intake of vegetables (Fumbwa leaves, beans), low education, low SES, elevated ApoB, HbA1c no control, and FPG no control were individually and significantly associated with DR in all T2DM patients.
In considering new CVD risk factors such as biomarkers, tools for diagnosis, treatment and prevention in personalized medicine, the present univariate analysis reported an increased oxidative stress and impaired antioxidant defense significantly associated with DR in these T2DM Central Africans.
The oxidant/antioxidant imbalance was characterized by elevated serum levels of 8-OHdG, TBARS and 8- Isoprostane, but deficiencies of serum levels of vitamin D, albumin, vitamin C, and vitamin E. Experimental and clinical studies suggest that the retinas display oxidant/antioxidant imbalance and more extensive membrane lipid peroxidation (TBARS, 8-Isoprostant) and oxidative DNA damage (8-OHdG) which are the consequences of reactive oxygen species-induced injury [42] -[45] . We were cautious to explain positive association between DR and SOD in this study. Potential adaptative mechanisms are suggested to encounter DR by increase in SOD.
4.2.2. Independent Determinants of DR by Stratifying HDL-C Levels
The paradox between HDL-C dichotomization and DR or VD urged us to stratify HDL-C in three groups among these black T2DM patients.
In low HDL-C group, variables were all independently associated with DR presence in this study. However, in T2DM patients with higher 10-year Framingham risk including low HDL-C concentrations, smoking status, insulin resistance, and increase in each unit of HDL-C levels were independently associated with prevalent DR.
In normal HDL-C group, only smoking status and high 10-year Framingham risk were independently associated with DR prevalence. And in higher HDL-C group, both smoking status and high 10-year Framingham risk were independently associated with DR prevalence.
These paradoxical associations of a quantitative HDL-C trait could be dependent on genetic, ethnic, minority, and environmental (lifestyle changes: migration, urbanization, westernization, inappropriate diet, smoking, exaggerated physical activity, excessive alcohol intake) factors [41] -[52] . There are positive association between total cholesterol, the deficiency in cholesterol ester transfer protein (CETP), DR, poor control of HbA1c, insulin therapy, and increasing HDL-C levels in diabetic Africans [38] [46] -[48] people from developed countries [49] -[52] and Asians [8] . DNA mutation due to elevated 8-OHdG may also impact on HDL levels in these Central Africans.
4.3. Clinical Implications
Our findings will impact on modifiable factors associated with DR by integrating ophthalmic practice into Primary Health care systems, and the WHO “Vision 2020 initiative” in central Africa.
The most important modifiable risk factors for DR are smoking status [53] , systolic blood pressure, total cholesterol, education, oxidative stress, control of T2DM, and diet.
Further studies on the effects of T2DM duration, genetics, aging, and HDL-C on DR are recommended in Africa. For Central Africans, we need urgent understanding of HDL particles which are heterogeneous and classified as a larger, less dense HDL2 or a smaller, denser HDL3 [54] . African-Americans present a different cardiovascular risk profile when compared with Caucasians: lower TG and higher HDL-C [55] [56] . Paraoxonase (PON1) enzyme activity 1 related to HDL dysfunctionality and responsible for the antioxidant and anti-inflammatory properties of HDL [57] [58] , could be also investigated in Central Africans.
4.4. Study Limitations
The present study may be limited to some degree because of its cross-sectional design which is not able to show a causal association between the identified independent determinants and DR.
5. Conclusion
Patients of Central African ethnicity had a significant higher prevalence of DR, VD, and VTDR which constitute health public issues with peculiar risk indicators. Smoking status, metabolic syndrome, insulin therapy, low intake of Fumbwa leaves and beans, dyslipidemia, oxidant/antioxidant imbalance, low education level, low socioeconomic status, no HbA1c control and no glycemic control are the univariate risk indicators for DR. Ushaped relationship among DR, VD and HDL-C stratification and the independent association among elevated 8-OHdG, DNA mutation, high 10-year Framingham risk, smoking status, insulin resistance, and DR by HDL-C or Framingham risk stratification need further genetic studies among Central African T2DM patients.
NOTES
*Corresponding author.