Purpose
This study evaluates swept-source optical coherence tomography angiography (SS-OCTA) quantitative metrics as noninvasive biomarkers of diabetic nephropathy (DN) in patients with diabetes mellitus.
Design
This is a cross-sectional study of patients with diabetes mellitus.
Subjects
This study included 375 eyes of 234 patients imaged using 12 × 12-mm angiograms centered on the fovea.
Methods
OCTA metrics that were analyzed included nonperfusion area (NPA), foveal avascular zone (FAZ) area, vessel density (VD), and vessel skeletonized density (VSD). These metrics were compared with the presence and severity of DN.
Main Outcome Measures
Primary outcomes were albuminuria (albumin-to-creatinine ratio ≥30 mg/g) and chronic kidney disease (CKD, estimated glomerular filtration rate [GFR] ≤60 or >60 mL/min/1.73 m 2 with albuminuria). Secondary outcomes included albuminuria severity (A1: <30, A2: 30-300, A3: >300 mg/g), CKD severity (normal GFR: ≥90, mild CKD: 60-89, moderate-severe CKD: ≤59 mL/min/1.73 m 2) and Kidney Disease: Improving Global Outcomes (KDIGO) risk categories for CKD progression and/or mortality. Subgroup analysis assessed early microvascular changes in patients with no or mild diabetic retinopathy (DR) and DN association. Multivariate regression adjusted for age, smoking status, glycated hemoglobin, and mean arterial blood pressure.
Results
Of 234 patients, 145 (62%) had CKD and 111 (47%) had albuminuria. Increasing NPA was associated with albuminuria (odds ratio [OR]: 1.17, P =.038), CKD (OR: 1.06, P <.001), CKD severity ( P <.05), and KDIGO risk categories on pairwise analysis ( P <.05). VD and VSD were significantly different between extremes of KDIGO risk categories (very high vs low and moderate risk, P <.05) and albuminuria severity (A3 vs A1, P <.05). In the no/mild DR subgroup, more circular FAZ and higher VD were associated with absent albuminuria ( P <.05).
Conclusions
NPA is a potential biomarker for predicting DN and is associated with DN severity. This study is the first to link OCTA metrics with KDIGO risk categories for CKD severity and mortality.
The current diagnosis of diabetic nephropathy (DN) relies highly on detection of albuminuria and estimated glomerular filtration rate (eGFR). Urinary albumin excretion above 30 mg/mL is used to risk stratify disease and is universally used for DN. Although urinary albumin excretion can detect earlier stages of DN, reduction in eGFR reflects significant glomerular injury and subsequent functional loss. Current biomarkers are very limited in their ability to prognosticate chronic kidney disease (CKD) progression because of poor sensitivity. The Kidney Disease: Improving Global Outcomes (KDIGO) 2024 guidelines recommend classifying patients by a combined assessment of eGFR and albuminuria to more accurately predict worsening CKD, complications, and mortality. ,, Early diagnosis and prognostication are essential to slow the progression of CKD and improve outcomes and avoid unnecessary treatment in low risk patients. ,,,
An ideal biomarker should be easy to measure, noninvasive, highly reproducible with high sensitivity and specificity, and cost effective. Over the past decade, the recognition of the need for more sensitive biomarkers has led to a significant expansion of biomarker candidates for CKD from both animal models and in vitro human studies. In the realm of DN biomarker research, diabetic retinopathy (DR) has been recently investigated. The eye, like the kidney, shares anatomical, physiological, and pathological similarities, making it susceptible to similar changes associated with diabetes mellitus (DM). Retinal microvascular abnormalities may serve as a reflection of renal vascular alterations and the progression of DN. Further, anatomical changes in the retina may be detected earlier than functional changes in the kidney, which can help prevent advancement to end-stage renal disease and reduce mortality.
Prior retrospective studies used fundus photography to characterize retinal vascular geometry. Lim and associates showed that smaller vessel caliber, fractal dimension, and presence of arteriovenous nicking were associated with lower eGFR. A population-based study showed similar results: retinopathy, microaneurysms, hemorrhage, soft exudates, and arteriovenous nicking were associated with renal dysfunction. Other studies have also showed similar findings. ,, Although fundus photography may identify gross details of retinal vasculature, it is limited in capturing the intricate microvascular characteristics of early stages of DR. The gold standard to visualize capillaries of size 10 to 20 µm is fundus fluorescein angiography. However, it is time consuming, invasive, and only provides 2-dimensional images. ,,
Over the last decade, optical coherence tomography angiography (OCTA) has revolutionized noninvasive high-resolution visualization of nonperfusion areas (NPAs) and microvascular details and is used to prognosticate DR and help earlier diagnosis. , Only a few studies have investigated the correlation between OCTA parameters and DN, and these studies have consistently demonstrated a signal. Nevertheless, several limitations hinder the drawing of definitive conclusions from most of these studies because of heterogenous study design and inconstant definition of DN. ,,,, The available data on OCTA metrics pertaining to earlier stages of DR and no DR and CKD is limited at present. Further, the relationship between OCTA metrics and long-term prognosis of CKD has yet to be evaluated.
In this cross-sectional study, the relationship between various OCTA parameters and the presence of DN will be investigated. Also, we study the association between OCTA metrics and the severity of DN. Finally, we examine the relationship between OCTA metrics and the KDIGO CKD long-term prognosis tool based on albuminuria and eGFR.
METHODS
STUDY DESIGN
A cross-sectional observational study was conducted at Massachusetts Eye and Ear Infirmary, Harvard Medical School, from January 2019 to June 2021. The study was approved by the institutional review board of Mass General Brigham and registered under the identifier 2019P001863. All patients provided written informed consent before enrolling in this study. The conduct of this study adhered to the principles outlined in the Declaration of Helsinki and the regulations governing the Health Insurance Portability and Accountability Act.
STUDY SUBJECTS
Patients with type 1 and 2 DM between the ages of 18 and 90 years, with a minimum Snellen best corrected visual acuity (BCVA) of 20/200 were enrolled to participate in the study between January 2019 and April 2021. We excluded eyes with VA <20/200 (n=22), other ocular comorbidities (epiretinal membrane, n = 16; neovascular glaucoma, n = 5; branch retinal vein occlusion, n = 7; central retinal vein occlusion, n = 3; non-arteritic ischemic optic neuropathy, n = 3; central serous chorioretinopathy, n = 2; lamellar hole, n = 1; history of uveitis, n = 1; history of endophthalmitis following PPV, n = 1; central macular scar, n = 1), and poor image quality (signal strength intensity <7, n = 23, and poor image quality due to artifacts and defocus, n = 8).
STUDY PROTOCOL
All patients received a complete ophthalmic examination including BCVA, intraocular pressure measurement, slitlamp, and dilated fundus examination. Angiograms of 12 × 12 mm centered on the fovea were acquired using the 100-kHz expanded field swept-source OCTA (SS-OCTA) device (PLEX Elite 9000, Carl Zeiss Meditec Inc), which uses a tunable laser of central wavelength between 1040 and 1060 nm with a bandwidth of 100 nm. It has an A-scan depth of 3 mm (in tissue), axial resolution (digital) of 1.95 µm (in tissue), and a transverse resolution of 20 µm. The 12 × 12-mm scans had an approximately 50 ° to 60 ° field of view of the central posterior pole of retina. Spectralis OCT2 B-scan (Heidelberg Engineering) and ultrawide-field color fundus photography (Optos) with or without fundus fluorescein angiography were acquired on the same day. The grading of DR was performed by experienced senior retina faculty (J.B.M., D.G.V., D.H., J.W.M., L.A.K., D.E.) based on the clinical examination and the ancillary imaging using International Clinical DR Disease Severity Scale.
IMAGE PROCESSING AND ANALYSIS
Images with signal strength <7 were excluded to control for image quality. Poor-quality images due to media opacity, defocus, and presence of various artifacts (motion, edge, threshold) were also excluded. Standard parameters and illumination settings were used to evaluate images. A single experienced grader (I.G.) evaluated all scans for quality control, which was further validated by the senior author (J.B.M.). OCTA metrics ( Figure 1 ) like vessel density (VD) and vessel skeletonized density (VSD) on superficial capillary plexus (SCP), deep capillary plexus (DCP), and full-thickness retina slabs, and foveal avascular zone (FAZ) metrics on the superficial retinal layer were quantified using Macular Density v0.7.3 on the ARI Network (Zeiss Portal v5.4-1206), which employs legacy segmentation to define superficial (between the inner limiting membrane and 70% of the distance between it and the outer plexiform layer) and deep slab (between the inner plexiform layer and the outer plexiform layer, situated 110 mm above the retinal pigment epithelium-fit line).
Representative quantitative OCT angiography metrics analyzed on 12 × 12-mm images. Red circle represents foveal avascular zone outline. Blue areas represent nonperfusion areas. OCT = optical coherence tomography.
The deep slabs were generated after the removal of projection artifacts. VD was calculated after binarization of the angiogram layers to generate a black-and-white image and defined as the total area of perfused vasculature per unit area within a region of measurement, ranging from 0 to 1. VSD was calculated after conversion of the binarized vessel to a line of 1 pixel width, per unit area of measurement, and was defined as the total length of skeletonized vessels. The FAZ parameters were assessed as area, perimeter, and circularity (uniformity index with perfect circle having a value of 1). Additionally, superficial slabs of 12 × 12-mm angiograms were used to quantify NPA (mm 2) using our previously published semiautomated algorithm on FIJI (an expanded version of ImageJ: 2.0.0-rc-69/1.52p; National Institutes of Health) by a single experienced grader (I.G.) ( Figure 1 ).
SYSTEMIC AND OCULAR PARAMETERS
Electronic medical records were reviewed for all patients to record the following parameters: age, gender, race, smoking status, duration of DM, type of DM, body mass index, mean arterial blood pressure, glycated hemoglobin (HbA 1c ), lipid profile, urine albumin, urine creatinine, serum creatinine, and eGFR (on day of imaging or within 6 months pre or post imaging). The ocular parameters collected included BCVA, intraocular pressure, lens status, DR staging, history of prior interventions (laser or intravitreal injections), and presence or absence of diabetic macular edema.
OUTCOMES
The primary outcomes included presence of albuminuria and CKD. The albumin-to-creatinine ratio (ACR) was calculated from urine albumin and creatinine levels. Patients with ACR more than 30 mg/g was defined as albuminuria as per the international guidelines. Presence of CKD was defined as an eGFR ≤60 mL/min/1.73 m 2, or >60 mL/min/1.73 m 2 with presence of evidence of CKD (eg, albuminuria). , Additionally, we assessed correlation with severity of albuminuria and CKD. ACR was further subclassified into 3 categories based on severity: A1 (<30 mg/g), A2 (30-300 mg/g), and A3 (>300 mg/g). CKD is routinely grouped into 5 categories, G1 to G5 based on eGFR. To account for a smaller percentage of patients in G4 and G5 categories and to enable easier interpretable results, CKD severity was grouped into 3 categories: normal (≥90 mL/min/1.73 m 2), mild decrease (60-89 mL/min/1.73 m 2), and moderate to severe decrease (≤59 mL/min/1.73 m 2).
The secondary outcome was to compare the association between OCTA metrics and the KDIGO prognostic categories for CKD progression and/or mortality. The KDIGO consensus guidelines outlined a prognostic classification of CKD based on both albuminuria and eGFR into low risk (green), moderately increased risk (yellow), high risk (orange), very high risk (red) categories based on longitudinal patient data to study long-term prognosis including kidney failure, cardiovascular complications, and all-cause mortality from 45 studies, assimilated in a meta-analysis. , Pairwise comparisons were performed between the 4 groups to assess the role of OCTA metrics as prognostic markers for DN.
Finally, a subgroup analysis was performed in patients with no DR and mild nonproliferative DR (NPDR) to identify whether early microvascular retinal changes were associated with the presence of DN.
STATISTICAL ANALYSIS
Statistical analysis was conducted using R version 4.1.3 (R Foundation for Statistical Computing). Descriptive methods were employed to characterize the population demographics and ocular characteristics. A 2-sided P value of less than.05 was set as the level of significance. Mixed-effects multiple logistic and linear regression models, fitted using restricted maximum likelihood, were employed to account for the correlation between both eyes from the same patients. All multivariate models were adjusted for clinically relevant objective confounding factors for progression of CKD (age, smoking status, HbA 1c , and mean arterial blood pressure).
RESULTS
STUDY POPULATION
Our final cohort comprised 375 eyes of 234 patients. The baseline characteristics are summarized in Tables 1 and 2 . Majority of patients were male (53.4%) and of White race (50.9%). Most patients had type 2 DM (83.8%) with a median duration of disease of 16 years. Almost half of patients had albuminuria (47.4%), of which 66 (59.5%) and 45 (40.5%) patients were grouped into the A2 and A3 groups, respectively, and 145 patients had CKD based on eGFR (62%). The CKD categories based on eGFR were roughly equally distributed in normal (72; 30.8%), mild CKD (89; 38%), and moderate-to-severe (73; 31.2%) CKD groups, respectively. Nearly half of patients fell in the KDIGO low-risk and moderate-risk categories. Thirty-four patients had unknown ACR but 3 patients were grouped into very high risk (red) KDIGO group as they had severe reduction in eGFR <29. Among the 375 eyes, 48 eyes (12.8%) had no DR, 190 eyes (50.7%) had NPDR, and 137 eyes (36.5%) had proliferative DR. Approximately one-fourth of eyes received laser and vitrectomy procedures.
TABLE 1
Demographic Characteristics of Study Population (N = 234 Patients).
| Study Parameter | Median (IQR) or n (%) |
|---|---|
| Age, y | 58.5 (50-65.8) |
| Sex, female | 109 (46.6) |
| Race/ethnicity | |
| White | 119 (50.9) |
| Black | 51 (21.8) |
| Asian | 16 (6.8) |
| Hispanic | 42 (17.9) |
| Other | 2 (0.9) |
| Declined | 4 (1.7) |
| Smoking | |
| Never | 133 (56.9) |
| Former | 71 (30.3) |
| Current | 29 (12.4) |
| Unknown | 1 (0.4) |
| MABP, mm Hg | 95.3 (86.3-102.6) |
| BMI | 29.7 (26.4-33.8) |
| HbA 1c , % | 8.1 (7.0-9.3) |
| Type of diabetes | |
| 1 | 37 (15.8) |
| 2 | 196 (83.8) |
| Unknown | 1 (0.4) |
| Duration of DM, y | 16.5 (8-23) |
| Received treatment with insulin | 171 (73.1) |
| Lipid profile, mg/dL | |
| LDL | 72 (48-100) |
| HDL | 47 (38.3-58) |
| TG | 121 (88-184) |
| CKD | |
| Absent | 89 (38) |
| Present | 145 (62) |
| Albuminuria | |
| Absent, <30 mg/g (A1) | 89 (38.1) |
| Present | |
| ≥30 mg/g | 111 (47.4) |
| 30-300 mg/g (A2) | 66 (59.5) |
| >300 mg/g (A3) | 45 (40.5) |
| Unknown | 34 (14.5) |
| Estimated glomerular filtration rate, mL/min/1.73 m 2 | |
| Normal, ≥ 90 | 72 (30.8) |
| Mild decrease, 60-89 | 89 (38) |
| Moderate to severe decrease, ≤ 59 | 73 (31.2) |
| KDIGO prognosis categories of CKD | |
| Low risk (green) | 66 (28.2) |
| Moderately increased risk (yellow) | 60 (25.6) |
| High risk (orange) | 43 (18.4) |
| Very high risk (red) | 34 (14.5) |
| Unknown | 31 (13.3) |
BMI = body mass index, CKD = chronic kidney disease, DM = diabetes mellitus, HbA 1c = glycated hemoglobin, HDL = high-density lipoprotein, KDIGO = Kidney Disease: Improving Global Outcomes 2024 guidelines, LDL = low-density lipoprotein, MABP = mean arterial blood pressure, TG = triglyceride.
TABLE 2
Clinical Characteristics of Eyes, Organized by Study Groups (n = 375 Eyes)
| Study Parameter | Median (IQR) or n (%) |
|---|---|
| IOP, mm Hg | 16 (14-19) |
| BCVA (logMAR) | 0.10 (0.02-0.22) |
| Snellen equivalent | ∼20/25 (20/21-20/33) |
| Lens status | |
| Phakic | 275 (73.3) |
| Pseudophakic | 99 (26.4) |
| Aphakic | 1 (0.3) |
| Laterality, right eye | 209 (55.7) |
| DR | |
| Absent | 48 (12.8) |
| Mild nonproliferative DR | 74 (19.8) |
| Moderate nonproliferative DR | 81 (21.6) |
| Severe nonproliferative DR | 35 (9.3) |
| Proliferative DR | 137 (36.5) |
| Prior history of focal laser | 16 (4.3) |
| Prior history of PRP | 82 (21.9) |
| Prior history of receiving anti-VEGF injection | 102 (27.2) |
| Prior history of PPV | 31 (8.3) |
| Diabetic macular edema, present | 179 (47.7) |
| CKD | |
| Absent | 149 (39.7) |
| Present a | 226 (60.3) |
| Albuminuria b | |
| Absent, <30 mg/g (A1) | 148 (39.5) |
| Present | |
| ≥30 mg/g | 176 (46.9) |
| 30-300 mg/g (A2) | 101 (26.9) |
| >300 mg/g (A3) | 75 (20) |
| Unknown | 51 (13.6) |
| Estimated glomerular filtration rate, mL/min/1.73 m 2 | |
| Normal, ≥ 90 | 123 (32.8) |
| Mild decrease, 60-89 | 147 (39.2) |
| Moderate to severe decrease, ≤ 59 | 105 (28) |
| KDIGO prognosis categories of CKD | |
| Low risk (green) | 113 (30.2) |
| Moderately increased risk (yellow) | 96 (25.6) |
| High risk (orange) | 72 (19.2) |
| Very high risk (red) | 47 (12.5) |
| Unknown | 47 (12.5) |
Anti-VEGF = anti–vascular endothelial growth factor, BCVA = best corrected visual acuity, CKD = chronic kidney disease, DR = diabetic retinopathy, IOP = intraocular pressure, KDIGO = Kidney Disease Improving Global Outcomes 2024 guidelines, PPV = pars plana vitrectomy, PRP = pan retinal photocoagulation.
ASSOCIATION BETWEEN OCTA METRICS AND PRESENCE OF CKD AND ALBUMINURIA
Mixed-level multiple logistic regression was performed controlling for age, mean arterial blood pressure, HbA 1c , and smoking status ( Table 3 ). Among the OCTA metrics, increased NPA was associated with both presence of CKD (odds ratio [OR]: 1.060, 95% CI 1.058-1.061; P <.001) and albuminuria (OR: 1.171, 95% CI 1.008-1.359; P =.038).
TABLE 3
Mixed Effects Multiple Logistic Regression Model Results by Presence of CKD and Albuminuria, Adjusted for Age, Mean Arterial Blood Pressure, HbA 1c , and Smoking Status
| OCTA Vascular Metrics (12 × 12 mm 2) | Presence of CKD a | Presence of Albuminuria b | ||
|---|---|---|---|---|
| OR (95% CI) | P Value | OR (95% CI) | P Value | |
| NPA | 1.060 (1.058-1.061) | <.001 | 1.171 (1.008-1.359) | .038 |
| VSD (SCP) | 0.989 (0.618-1.583) | .962 | 0.955 (0.465-1.960) | .899 |
| VSD (DCP) | 0.980 (0.643-1.493) | .926 | 0.945 (0.480-1.859) | .868 |
| VSD (retina) | 1.00 (0.650-1.537) | .998 | 0.987 (0.517-1.885) | .969 |
| VD (SCP) | 0.413 (<0.001-11039607) | .919 | 0.102 (<0.001-14920471006) | .862 |
| VD (DCP) | 0.517 (<0.001-2240030) | .933 | 0.020 (<0.001-1135115222) | .757 |
| VD (retina) | 0.519 (<0.001-5251372) | .937 | 0.187 (<0.001-7419777989) | .902 |
| FAZ area | 0.105 (0.001-8.085) | .309 | 0.629 (0.238-1.659) | .349 |
| FAZ perimeter | 0.985 (0.803-6.554) | .884 | 0.869 (0.696-1.087) | .218 |
| FAZ circularity | 0.802 (0.001-1182.044) | .953 | 0.676 (<0.001-9623.9) | .936 |
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