Diabetes is a metabolic disorder with multi-systemic affectation. Most of the complications of diabetes arise as a result of its effects on both macrovascular and microvascular vessels. Involvement of the ocular and renal microvessels may result in diabetic retinopathy and nephropathy respectively with attendant disability, economic burden and death. If diagnosed early, complications resulting from involvement of these vessels could be preventable, thereby reducing other cardiovascular events [1] [2] . In a review of results from the Nigeria national blindness and visual impairment survey, prevalence of diabetic retinopathy was 20.5% [3] . Rotimi et al. [4] reported a diabetic retinopathy prevalence of 17.3% among cohorts of diabetic patients in Nigeria. Prevalence of diabetic retinopathy has been reported to be between 16% and 55% in Africa [5] . Prevalence of microalbuminuria as a measure of diabetic nephropathy has been reported to be between 10% and 57% in Africans with type 2 diabetes [5] .

There have been reports of association between diabetic retinopathy and measures of nephropathy [6] - [8] . Prakash et al., however, noted that diabetic retinopathy does not predict diabetic nephropathy in type 2 patients [9] . The association between ocular vascular resistance using resistive index and measures of chronic kidney disease and/or renal vascular resistance has been examined previously [10] . The usefulness of measurement of ocular resistive index as a measure of vascular resistance is not fully understood [11] . However, ocular vascular evaluations may be an accessible measure for early detection of both retinal and renal dysfunctions. Ultrasonography is a non-invasive, relatively inexpensive and readily available investigation. This study determined the relationship between central retinal artery resistive index (CRARI) and right renal artery resistive index (RRARI) and measures of nephropathy (albuminuria, glomerular filtration rates) in type 2 diabetes patients.

This cross-sectional study involved consecutive patients with Type 2 Diabetes Mellitus recruited from the Diabetes clinic from June 2012 to May 2013. The Diabetes clinic is an out-patient clinic in the hospital premises that operates weekly with patients’ attendance of 100 - 120 people per clinic day. Ethical approval was granted by the Ethics and Research committee of the institution. Informed consent was sought and granted by all the participants. Participants with glaucoma and other conditions like ocular injury and conjunctivitis that could make Doppler assessment of the central retinal artery difficult were excluded by the Opthalmologist. Participants with recent febrile illness and other acute medical conditions were also excluded. Relevant history was taken and clinical examination done. Blood samples were taken to determine the serum fasting plasma glucose, total cholesterol, low-density lipoprotein, high-density lipoprotein, triglycerides, serum creatinine. Urinary albumin-creatinine ratio (UACR) of a random spot urine was determined using CLINITEK microalbumin (Siemens Healthcare Inc, Camberly, UK), a semi-quantitative strip test. UACR was calculated as albumin (µg)/ creatinine(g). Normoalbuminuria, microalbuminuria and macroalbuminuria was defined using UACR of <30 µg/mg, 30 - 300 µg/mg and >300 µg/mg respectively [12] . Estimated glomerular filtration rate (eGFR) was calculated using the Cockroft-Gault formula [13] and this was used to stage kidney function into stage 1 (≥90 mls/min); stage 2 (60 - 89 mls/min); stage 3 (30 - 59 mls/min); stage 4 (15 - 29 mls/min); stage 5 (<15 mls/min). The formula is as follows:

The value obtained is multiplied by 0.85 in women.

C_cr = Creatinine clearance; S_cr = Serum creatinine (mg/dL)

Doppler ultrasound scan of the right central retinal and right renal arteries was done using a Mindray DC-7 ultrasound machine and the resistive indices of the vessels calculated from the formula [11] :

where PSV = Peak systolic flow velocity; EDV = End-diastolic flow velocity.

Resistive index of >0.70 was considered elevated [10] . Data was inputted into a personal computer and analysed using the statistical software package SPSS version 20 (IBM Corp Released 2011. IBM SPSS Statistics for Windows, Version 20.0, Armonk, NY). Significant differences between continuous variables were assessed using Student’s t test, while chi square test (χ²) was used to determine differences between categorical variables. Correlation analysis was done to determine the relationship between central retinal resistive index and other metric variables. p value of <0.05 was taken to be statistically significant.

Seventy-four type 2 diabetic patients consisting of 32 males and 42 females. Mean age of study population was 59.62 ± 9.55 years (male: 59.66 ± 9.57 vs female: 59.60 ± 9.65; p = 0.978). Table 1 shows the clinical and laboratory parameters in the study population.

Sixty five (87.8%) participants had elevated CRARI, with more females 36 (55.4%) having elevated CRARI compared with males 29 (44.6%) (p = 0.723). Mean CRARI in the study participants was 0.77 ± 0.06 (male: 0.77 ± 0.05; female: 0.78 ± 0.07, p = 0.430). Of the participants with elevated CRARI, 9 (13.8%), 29 (44.6%) and 27 (41.6%) had macroalbuminuria, microalbuminuria and normoalbuminuria respectively (p = 0.159). Table 2 shows the differences between participants with normal CRARI and those with elevated CRARI.

Eleven (14.9%) participants had macroalbuminuria (male―4 (5.4%) vs female―7(9.5%); and 30 (40.5%) had microalbuminuria (male―12 (16.2%) vs female―18 (24.3%) (p = 0.701). Figure 1 shows the relationship between central retinal artery resistive index and stages of chronic kidney disease among participants.

SPB―Systolic blood pressure; DBP―Diastolic blood pressure; eGFR―estimated glomerular filtration rate; FPG―Fasting plasma glucose; TC― Total cholesterol; HDL―high density lipoprotein; TG―Triglycerides; LDL―Low density lipoprotein; RRARI―right renal artery resistive index.

SPB―Systolic blood pressure; DBP―Diastolic blood pressure; eGFR―estimated glomerular filtration rate; FPG―Fasting plasma glucose; TC― Total cholesterol; HDL―high density lipoprotein; TG―Triglycerides; LDL―Low density lipoprotein; RRARI―right renal artery resistive index.

There was no significant correlation between CRARI and eGFR (r = 0.120; p = 0.309),duration of diabetes (r = −0.081, p = 494), body mass index (r = −0.017; p = 0.884), systolic blood pressure (r = 0.027; p = 0.819), fasting plasma glucose (r = −0.112; p = 342), total cholesterol (r = −0.003; p = 0.978), serum high-density lipoprotein (r = −0.162; p = 0.169), serum triglycerides ( r = −0.046; p = 0.710), serum low-density lipoprotein (r = 0.027; p = 0.836) or RRARI (r = 0.068; p = 0.564).

Hyperglycemia selectively damages the endothelial cells of the retina, glomerulus and neurons, with shared pathologic characteristics in the development of these diabetic complications [14] [15] . Sustained hyperglycemia results in polyol accumulation, formation of advanced glycation end products (AGEs), oxidative stress, and activation of protein kinase C (PKC), which are pathway postulated to be responsible for microvascular complications in diabetes [14] [16] . Resistive index assessment in the central retinal artery is a measure of increased resistance in this vessel, which is suggested to contribute to diabetic retinopathy. Assessment of central retinal artery resistive index may be an early marker of overt diabetic retinopathy [17] .

In this study, mean central retinal artery resistive index was 0.77 ± 0.06. This is similar to that obtained by Amin et al. [2] , who reported mean CRARI of 0.75 ± 0.04 in patients with type 2 diabetes without retinopathy, which was significantly higher compared with controls. Most of the patients with elevated CRARI were in the early stages of chronic kidney disease. Mean systolic blood pressure, estimated glomerular filtration rate, fasting blood glucose, total cholesterol, high density lipoprotein and low-density lipoprotein were higher in patients with elevated CRARI compared with patients with normal CRARI, but values were not statistically significant (Table 2).

This study was conducted to ascertain the association between resistive index of the right central retinal artery and measures of renal function, for a possible early detection of renal microvascular involvement in diabetes. There was no correlation between central retinal artery resistive index and glomerular filtration rate and resistive index of the right renal artery.

Resistive index has been regarded as a measure of vascular resistance; however some studies [18] [19] have suggested that resistive index is not only a measure of vascular resistance, but of impedance, which is a measure of both vascular resistance and vascular compliance. Vascular compliance, defined as change in vascular volume with change in vascular pressure [11] [18] , has profound individual variability even when the vascular resistance is constant [18] [19] . In effect, the resistive index would vary depending on the compliance of the vessel. This variability may explain the lack of association between central retinal artery resistive index and the measures of renal function studied. Our finding may also suggest that the pathogenic mechanism for resistance in the ocular vessels may be different from that responsible for nephropathy in patients with type 2 diabetes mellitus.

It is acknowledged that estimation of urinary protein excretion over a 24-hr period is the gold standard method due to a high degree of variation in the urinary protein concentration during the course of the day [20] ; this approach however would have been impractical to undertake as it would have been impracticable for the greater majority of subjects recruited for the study. Nevertheless statistically significant values with correlations as high as 0.98 [21] have been reported for ratio of protein: creatinine on a spot urine sample with 24-hr urine collection sample.

The small size of our study may limit its interpretation to the general population. Glycated hemoglobin, a long term measurement of glycemia was not measured in our participants. Despite these limitations, this study is crucial in recognizing the lack of association between measure of resistance of ocular vessels and measures of stages of renal dysfunction. Additionally, to the best of our knowledge, this is the first study that considers the possible association between resistive index in ocular vessels (using the central retinal artery) and diabetic nephropathy in Nigerians. Future studies should be considered in apparently healthy population.

This study found no relationship between central retinal artery resistive index and glomerular filtration rate, urinary albumin excretion and resistive index of the right renal artery.

O. O. Ayoola,D. O. Soyoye,S. D. Dawha,R. T. Ikem,O. H. Onakpoya,T. A. Adedeji,F. A. Arogundade, (2016) The Relationship between Central Retinal Artery Resistive Index and Measures of Renal Function in Type 2 Diabetes. Journal of Diabetes Mellitus,06,146-151. doi: 10.4236/jdm.2016.62015