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From the School of Optometry, Vision Science Program, University of California at Berkeley, Berkeley, California.
| Abstract |
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METHODS. One eye of 11 diabetic patients with nonproliferative diabetic retinopathy (NPDR) and 11 diabetic patients without retinopathy were retested 12 months after initial testing. At each time, mfERGs were recorded from 103 retinal locations, and fundus photographs were taken within 1 month of each recording. Local mfERG implicit times were measured and their z-scores were calculated based on results obtained from 20 age-matched control subjects. mfERG abnormalities were defined as z-scores of 2 or more for implicit time and z-scores of -2 or less for amplitude (P
0.023). mfERG z-scores were mapped onto fundus photographs, and the relationship between baseline abnormal z-scores and new retinopathy at follow-up was examined.
RESULTS. New retinopathy developed in 7 of the eyes with NPDR after 1 year. In these eyes, 70% of the mfERGs in areas of new retinopathy had abnormal implicit times at baseline. In contrast, only 24% of the responses in regions that remained retinopathy free were abnormal at baseline. Relative risk of development of new retinopathy over 1 year in the areas with abnormal baseline mfERG implicit times was approximately 21 times greater than that in the areas with normal baseline mfERGs (odds ratio = 31.4; P < 0.001). Eyes without initial retinopathy did not develop new retinopathy within the study period, although 4 of these 11 eyes had abnormal implicit times at baseline. mfERG implicit times tended to be more delayed at follow-up than at baseline in NPDR eyes, but not in eyes without retinopathy and control eyes. mfERG amplitudes had no predictive power.
CONCLUSIONS. Localized functional abnormalities of the retina reflected by mfERG delays often precede the onset of new structural signs of diabetic retinopathy. Those functional abnormalities predict the local sites of new retinopathy observed 1 year later.
The multifocal electroretinogram (mfERG) technique, which can measure and map retinal function at more than 100 locations within 8 minutes, has been used to examine a large number of eye diseases2 3 4 including diabetes.5 6 7 8 9 10 11 12 For diabetic patients with retinopathy, the magnitude of mfERG implicit time delays correlates with the severity of retinopathy, and the locations of abnormal mfERG implicit times correlate spatially with anatomic abnormalities.5 6 7 By contrast, response amplitude, although often reduced in eyes with retinopathy, has no such correspondence with the presence of retinal lesions.5 6 7 8 12 Moreover, implicit times are often significantly delayed in retinal locations without retinopathy and in diabetic eyes without retinopathy.5 9 This raises an interesting question of whether the abnormal implicit times identify retinal locations where retinopathy will develop in the future. The ability to identify eyes and retinal sites at greatest risk for retinopathy would strengthen future clinical trials of new preventative pharmacologic therapies now being developed.13 14 15
The primary purpose of this study was to examine whether local mfERG implicit time abnormalities in diabetic eyes are predictive of the development of diabetic retinopathy identified in fundus photographs at corresponding retinal locations. Diabetic eyes with little or no diabetic retinopathy at baseline were retested 1 year after initial study. We examined the incidence of newly developed diabetic retinopathy, the change in the mfERG over 1 year, and the spatial relationship between new retinopathy and baseline mfERG results.
| Methods |
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The diagnosis of diabetic retinopathy was masked to the mfERG results and was made on the basis of the eye examination and fundus photograph grading performed by a retinal specialist. The severity of diabetic retinopathy was classified according to the Early Treatment Diabetic Retinopathy Study (ETDRS) criteria.19 In the NPDR group, two subjects had moderate NPDR (each one had a small patch of edema in the midperipheral retina) and the other nine had only mild retinopathy (95% of the lesions are microaneurysms or dot hemorrhages). All eyes in the diabetic groups had 20/25 or better corrected visual acuity. Patients with visible media opacity or history of other ocular disease or surgery were excluded from the study. Subjects with NPDR were aged 32 to 59 years (mean ± SD, 51.4 ± 6.4) with duration of diabetes of 2 to 20 years (9.7± 6.8) and the patients without retinopathy were aged 26 to 62 years (49.2 ± 9.8) with duration of diabetes of 3 to 20 years (7.8 ± 4.5).
Twenty eyes of 20 normal subjects, 9 men and 11 women, aged 28 to 60 years (47.2 ± 9.5) were tested (14 right and 6 left eyes, based on the subjects preference). All normal subjects were free of ocular and systemic disease and had 20/20 or better corrected visual acuity. No subjects with refractive errors outside the range of -6.00 and +4.00 D were included in this study. Half of the control subjects had their mfERGs retested at a 1-year follow-up to examine repeatability.
The purposes and potential risks of the study were explained, and informed consent was obtained from all subjects before testing. Procedures followed the tenets of the Declaration of Helsinki, and the protocol was approved by the University of California Committee for the Protection of Human Subjects.
mfERG Recording
mfERGs were recorded using a visual evoked response imaging system (VERIS 4.3; EDI, San Mateo, CA; Fig. 1A ). Pupils were dilated to 7 to 8 mm with 1.0% tropicamide and 2.5% phenylephrine. After the cornea was anesthetized with 0.5% proparacaine, a bipolar contact lens electrode (Hansen Ophthalmic, Solon City, IA) was placed on the eye, and a ground electrode was clipped to the right earlobe. The fellow eye was occluded. An array of 103 hexagonal elements was delivered by an eye camera-display-refractor unit (EDI) driven at a 75-Hz frame rate. The hexagons were modulated between white (200 cd/m2) and black (<2 cd/m2) according to an m-sequence during the 7.5-minute recordings. Observers adjusted the stimulus unit for best focus of the central fixation target before the recording. Recordings were made in sixteen 30-second segments. Recording quality and eye movements were monitored by real-time display and the eye camera, respectively. Contaminated segments were discarded and repeated. Retinal signals were filtered 10 to 100 Hz.12 mfERGs were processed in the usual way with one iteration of artifact removal and spatial averaging with one sixth of the surrounding responses.
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2.0 (P
0.023) and abnormal amplitude as a z-score
-2.0 (P
0.023). The cutoff values for abnormality defined by these criterion z-scores and those defined by the 0.023 percentile are similar at each location, with a maximum difference of 3% (mean difference in implicit time measure is 1%). This similarity suggests that our results are not dependent on, or a consequence of, using z-scores to define abnormalities. Previous studies showed that the local mfERG amplitude measure detects fewer functional abnormalities than implicit time measures in diabetics,5 6 7 8 12 and is not correlated with the visible retinal lesion sites.5 Therefore, in this study we focus on implicit time measures and briefly report amplitude results. The spatial correspondence between the mfERG stimulus array and fundus photograph grading is shown in Figure 1B . The comparison between mfERG and fundus photograph grading was performed in "zones." A zone is a retinal area comprising three to seven adjacent mfERG stimulus elements (described in detail in the Results section). Zones, instead of individual elements, were chosen for study for three reasons. First, the actual size of the anatomic retinal lesion could extend beyond the lesion identified in a fundus photograph. Second, the location of visible retinopathy might not lie directly over the site of actual anatomic lesion. Third, for each individual the use of zones helps to offset the possible spatial mismatch between the retinal locations of the mfERG stimulus array and fundus photographs.
| Results |
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The changes in mfERG implicit time z-scores over the study year were analyzed for each subject group. For the subjects with NPDR, mfERG z-scores were further separated into three retinal categories based on the retinopathy stages at baseline (Fig. 2) : (1) Old Retinopathy Zone (retinopathy was present at baseline and remained at follow-up); (2) New Retinopathy Zone (newly developed retinopathy was present at follow-up); and (3) Still-No-Retinopathy Area (retinal regions remained lesion-free after 1 year). Table 1 shows the number of Old Retinopathy Zones and the number of New Retinopathy Zones in the NPDR eyes in which new retinopathy developed.
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Local mfERG amplitudes did not change over the year in the normal eyes and also did not change in New and Old Retinopathy Zones of NPDR eyes. However, the eyes of diabetic subjects without retinopathy and the zones in NPDR eyes that remained retinopathy-free had significantly more reduced amplitudes at follow-up than at baseline (4.8% abnormal amplitude at baseline vs. 12.6% at follow-up; P < 0.01).
Association between New Retinopathy and Baseline mfERG
In the seven NPDR eyes in which new retinopathy developed, the baseline implicit time z-scores in two types of retinal areas were compared: New Retinopathy Zones (n = 118) and still-no-retinopathy areas (n = 798). An example (subject 3) of the zone analysis is shown in Figure 4A . First, retinal areas with preexisting retinopathy (Old Retinopathy Zones), represented by the black hexagons, were excluded from subsequent analysis. On follow-up, New Retinopathy Zones, represented by the gray hexagons, were constructed around the instances of new retinopathy and the remaining (white) area was categorized as a still-no-retinopathy area. The numbers at some of the retinal locations indicate the instances and the z-scores of abnormal initial implicit times. In this example, 6 (46%) of 13 initial implicit times within the two New Retinopathy Zones were abnormal, whereas only 13 (17%) of 76 initial implicit times in the still-no-retinopathy area were abnormal. Figure 4B shows the subjects mfERG trace array and the magnified waveforms recorded at baseline (solid traces) and the normal waveform templates (dashed traces) from the two New Retinopathy Zones. The responses in those areas are clearly delayed relative to the normal templates.
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2.0), whereas only 24% in the still-no-retinopathy areas were abnormal. Areas in which retinopathy developed from baseline to follow-up were approximately 3 times more likely to have initial abnormal mfERG implicit times.
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In contrast to the implicit time results, the z-score distributions of amplitude in New Retinopathy Zones and still-no-retinopathy areas were not significantly different (P = 0.21). At baseline there was no significant difference in percentage of abnormal mfERG amplitudes (z-score
-2) in areas that did and those that did not develop retinopathy at follow-up (3% vs. 2%, P = 0.42).
This analysis shows that retinopathy that developed during the 1-year period between initial and follow-up testing was associated with abnormal baseline mfERG implicit times. In the next section we first separate responses in terms of whether their mfERG baseline implicit times were normal or abnormal and then determine how well they predict the development of new retinopathy during the follow-up period.
Prediction of New Retinopathy
In this analysis, mfERGs and graded fundus photographs were compared as follows. First, responses within old retinopathy zones were excluded. The remaining initial responses were then divided into "mfERG zones" comprising three to seven adjacent stimulated locations without regard to where new retinopathy later developed (Fig. 6) . These nonoverlapping mfERG zones were constructed concentrically with a center element. This process started in the upper left corner of the stimulus array and proceeded horizontally across consecutive rows to the lower right corner. The center element was chosen in such a way as to include the maximum number of elements per zone. Because of the irregular shape of the border of the entire stimulus field, coupled with the variations in the locations of old retinopathy zones, the number of elements per zone varies from three to seven. Each mfERG zone was then classified as either normal or abnormal, based on whether at least one mfERG z-score in that zone exceeded 2.0. In the hypothetical example shown in Figure 6 , the dark region is an Old Retinopathy Zone that is excluded from further analysis, and the remaining stimulated retinal area is divided into 17 mfERG zones (3 abnormal and 14 normal) whose borders are represented by thick dark lines. On follow-up, new retinopathy is observed in 3 of the zones, indicated by the gray shading, 2 (66.7%) of which occur in abnormal mfERG zones and in 1 (7.1%) in the 14 normal mfERG zones.
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0.0014), the abnormal mfERG zones are approximately 9 times more likely to develop new retinopathy than normal mfERG zones (odds ratio = 16.6; P < 0.001).
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| Discussion |
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These results can be expected to have an impact on diabetes care and clinical trials. The mfERG implicit time measure, a sensitive measure of retinal function, can be used to monitor the progression of diabetic retinopathy at a very early stage and evaluate the effectiveness of preventative drug therapies currently being developed.
The mfERG is well suited to the study of the diabetic retina for several reasons. First, diabetic retinopathy is a retinal disease with local lesions typically confined to the posterior pole,21 where the standard mfERG techniques test local retinal function (across the central 45°). Second, diabetic retinopathy is largely caused by defects of retinal capillaries in the inner nuclear layer, where the cell bodies of the bipolar cells, the primary generators of the mfERG, are located.22 23 Thus, there is an anatomic basis for the detection of mfERG abnormality in diabetes.
We used the template-stretching method20 instead of the cross-correlation method implemented in the visual evoked response imaging software (VERIS; EDI) to measure mfERG implicit times. This method has an advantage over peak implicit time measurement, because it considers the entire response waveform instead of a single waveform feature, and it is therefore less affected by noise. In addition, we have recently compared cross-correlation measures and the template-stretching method and found that the template-stretching method is more sensitive to diabetic retinal dysfunction than the cross-correlation measures (Schneck ME, et al. IOVS 2002;43:ARVO E-Abstract 3474).12
What causes the mfERG delays associated with, and even occurring before, the diabetic lesions? Pathophysiological studies on this retinal disease provide some insights. Diabetic retinopathy is a disease of small retinal vessels, even before the appearance of visible fundus lesions, and early characteristic changes in the retinal vasculature of diabetic eyes are pericyte apoptosis and basement membrane thickening, resulting in acellular capillaries.24 25 26 Three major theories have been proposed to explain how chronic hyperglycemia and subsequent retinal hypoxia might lead to those anatomic changes: increased formation of advanced glycosylation end products,27 28 29 30 31 abnormal by-pass of glucose metabolism through the sorbitol pathway,32 33 34 35 and the activation of growth factors (such as vascular endothelial growth factor) and the protein kinase C pathway.13 14 25 31 36 37 38 Oxidative stress and free radical generation also promotes the development of diabetic lesions.39 40 41 42 Compromised local metabolism may affect the function of mfERG generators, leading to delayed neural conduction and prolonged mfERG implicit times. Moreover, in diabetic eyes early or undetected perfusion defects associated with choriocapillaris degeneration13 15 24 43 may also result in the implicit time delays that occur before the anatomic signs of abnormal vasculature within the inner retina.
In contrast to the findings with implicit times, mfERG amplitudes were not correlated with, nor did they predict, the sites of new retinopathy. This is consistent with earlier studies comparing the relative usefulness of implicit time and amplitude measures with mfERG recordings in diabetes.5 6 7 8 12 One possible reason for the insensitivity of amplitude to diabetic dysfunction is that this measure has larger intersubject variability than implicit time in normal subjects. Another consideration is that amplitude measures reflect the strength of the summed responses generated by retinal cells and may be significantly affected only at a later stage when the generators are severely damaged or cell loss occurs.
For the normal subjects the mfERG responses did not change over the study year, indicating that the mfERG measures were stable and reliable for follow-up studies. We found that in the areas where new retinopathy developed, mfERG implicit times were more delayed at baseline than in the areas that had retinopathy at the onset of the study. A possible explanation is that the metabolic alterations affecting neural retinal function might be at a more severe stage before signs of retinopathy develop. The results from the second-year follow-up of our subjects will help to investigate this possibility.
In summary, we believe that this study is the first to demonstrate that abnormal mfERG implicit times are predictive of the sites of new retinopathy observed 1 year later. The results suggest that mfERG implicit time is a sensitive candidate metric for the assessment of new treatments of retinal disease. It will be interesting as we follow these subjects to examine whether the mfERG results also predict the development of diabetic retinopathy in eyes without retinopathy at baseline. If so, such predictive power will have additional implications for the prevention of diabetic retinopathy.
| Footnotes |
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Submitted for publication October 3, 2003; revised November 7, 2003; accepted November 13, 2003.
Disclosure: Y. Han, None; M.A. Bearse Jr, None; M.E. Schneck, None; S. Barez, None; C.H. Jacobsen, None; A.J. Adams, None
The publication costs of this article were defrayed in part by page charge payment. This article must therefore be marked "advertisement" in accordance with 18 U.S.C.
1734 solely to indicate this fact.
Corresponding author: Ying Han, School of Optometry, University of California, 360 Minor Hall, Berkeley, CA 94720-2020; yingh{at}uclink.berkeley.edu.
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