Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2026 Jul 23.
Published in final edited form as: Am J Ophthalmol. 2025 Jul 23;279:174–181. doi: 10.1016/j.ajo.2025.07.018

Diabetic retinopathy incidence, progression, and health-related quality of life from the ACCORD trial

Minali Prasad a, Elvira Agrón a, Susan Vitale a, Thilaka Arunachalam a, Cameron Duic a, Fares Siddig a, Ioannis Dimopoulos a, Amy Lu a, Emily Y Chew a
PMCID: PMC12519495  NIHMSID: NIHMS2099563  PMID: 40712766

Abstract

Objective:

We performed a retrospective cohort study to evaluate the association between health-related quality-of-life (HRQOL) measures and diabetic retinopathy (DR) progression among participants of the Action to Control Cardiovascular Risk in Diabetes (ACCORD) clinical trial and the ACCORD Eye Study.

Design:

Retrospective cohort

Participants:

ACCORD (n=6219) and ACCORD Eye (n=1687) participants with type 2 diabetes mellitus with a glycated hemoglobin level of at least 7.5%.

Methods:

HRQOL measures included the feeling thermometer (general health), Health Utilities Index Mark (HUI) 2 (aggregate score of sensation, mobility, cognition, self-care, emotion, pain, and fertility), HUI-3 (aggregate score of vision, hearing, speech, ambulation, dexterity, emotion, cognition, and pain), Patient Health Questionnaire-9 (PHQ-9) for depression, and Short Form-36, including the Aggregate Interference score derived from physical health and emotional problems (Brazier Index). Across all measures, a higher score indicated better HRQOL. Multivariate linear regression adjusted for baseline HRQOL scores as well as demographic and clinical covariates was used to compare the difference in final HRQOL scores after 4 years of follow-up between those who did and did not experience DR progression.

Main Outcome Measures:

DR development was self-reported by participants in the ACCORD study. DR progression in the ACCORD Eye study was defined as a ≥3-step person scale increase on the Early Treatment of Diabetic Retinopathy Study scale or progression to proliferative DR requiring laser photocoagulation or vitrectomy.

Results:

Among ACCORD participants, those self-reporting DR development had a significantly lower score on the EuroQoL feeling thermometer by 3.68 points [(−4.91, −2.45), p<0.001], HUI-2 by 0.02 points [(−0.03, −0.01), p=0.005], HUI-3 by 0.04 points [(−0.06, −0.02), p<0.001], and Brazier Index by 0.03 points [(−0.04, −0.01), p=0.001] compared with those who did not report developing DR. Among ACCORD Eye participants, those with DR progression had a significantly lower score on HUI-3 by 0.05 points [(−0.09, −0.01), p=0.022] compared with those who did not experience DR progression.

Conclusions:

DR development was associated with worse subjective general health, worse HUI-2, worse HUI-3, as well as more interference from physical health and depression. DR progression was only associated with a decrease in HUI-3 by year 4.

Keywords: ACCORD, ACCORD Eye, diabetic retinopathy, health-related quality of life

Table of Contents

Participants of the Action to Control Cardiovascular Risk in Diabetes trial with type 2 diabetes with diabetic retinopathy development or progression had worsened health-related quality of life over a 4-year follow-up period compared to those without development or progression. However, visual acuity, routinely used in clinical practice to monitor disease progression, was not associated with quality-of-life scores. This highlights the importance of patient-reported outcomes in understanding the impact of diabetic retinopathy on patients’ daily lives.

1. Introduction

Diabetic retinopathy (DR) represents one of the most common microvascular complications of diabetes mellitus, affecting over 9.6 million individuals in the United States based on an estimate provided by the US Centers for Disease Control and Prevention’s Vision and Eye Health Surveillance System.1 Worldwide, DR is projected to impact 366 million by 2030.2 This condition more frequently affects underrepresented populations, including African American and Hispanic/Latino groups.3 As DR progresses, it can lead to vision loss, and can manifest as blurry, double, or distorted vision, refractive error changes, and noticeable floaters in the visual field.4 The impact of these visual changes on quality of life (QOL) has been previously reported among various geographical regions and ethnic groups.

While visual acuity may be used in clinical and research settings to monitor the development, progression, and treatment response of DR, patient-reported outcomes are stronger measures of the impact of DR on activities of daily living.5 The National Eye Institute 25-item Visual Function Questionnaire (NEI VFQ-25) and Short Form Health Survey are commonly administered to assess vision-related QOL (VRQOL) and health-related QOL (HRQOL), respectively. Recently, Zayed et al. conducted a meta-analysis and systematic review of 93 original research studies investigating the association between DR and QOL.5 They confirmed the strong relationship between DR and worse QOL, additionally reporting that the impact of early DR can be better assessed with VRQOL scales than HRQOL scales.5 Notably, their analysis was limited by variation in DR grading between studies.

There is limited evidence regarding the association between DR progression and change in QOL over time. In a population-based cohort study in Finland, Wirkkala et al. reported that QOL related to sleeping, daily activities, discomfort, and sexual activity worsened over a 35-year follow-up period among participants with type 1 diabetes mellitus since childhood with proliferative DR (PDR) at the initial visit.6 However, their analysis was vulnerable to small-sample bias, with only 29 participants in the follow-up period despite 216 participants at baseline. Other studies have used change in QOL scores as a proxy for treatment effectiveness. Mitchell et al. reported that participants with diabetic macular edema treated with ranibizumab alone or ranibizumab combined with laser had a significantly higher increase in NEI VFQ-25 scores compared to those treated with laser monotherapy.7

The Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial included over 10,000 participants with type 2 diabetes mellitus followed over a 5-year study period.8 This randomized clinical trial established the importance of optimal glucose control, blood pressure control, and the use of fenofibrate in the treatment of diabetic retinopathy.8 The objective of the present study was to evaluate the association between HRQOL measures and DR incidence and progression among participants of the ACCORD clinical trial and its substudy, the ACCORD Eye Study, respectively.

2. Methods

This study is a post hoc analysis of the ACCORD (NCT00000620) and ACCORD Eye (NCT00542178) studies. These studies are registered on Clinicaltrials.gov and located at 77 clinical sites in the United States and Canada. The studies were approved by the Institutional Review Board of the National Heart, Lung, and Blood Institute (as well as the review boards of each clinical site) and adhere to the tenets of the Declaration of Helsinki. Written informed consent to participate in the research was obtained from all participants of the ACCORD and ACCORD Eye trials.

2.1. Study Population

The ACCORD multicenter study included 10,251 participants with type 2 diabetes mellitus with a glycated hemoglobin level of at least 7.5%.8 Participants in ACCORD had either established cardiovascular disease or known cardiovascular risk factors at baseline.8 The ACCORD Eye consisted of a subset of ACCORD participants without a history of PDR that had previously been treated with focal laser photocoagulation or vitrectomy.9

2.2. QOL Measurement and DR Assessment

Participants in the ACCORD study self-reported presence of DR with the following yes/no question: “Has the participant ever experienced any of the following vision problems?”, with vision problems including retinopathy and vision loss. Participants in ACCORD Eye study underwent clinical eye examinations and imaging including visual acuity measurement, dilated fundus exams, and color fundus photographs.9 Trained graders masked to the participants’ medical history graded the fundus photographs using the Early Treatment of Diabetic Retinopathy Study (ETDRS) severity scale for DR.9 Participants underwent these examinations, along with questionnaires for ocular surgery history, at annual study visits.9

HRQOL measures administered in the ACCORD study included the EuroQoL feeling thermometer (general health), Health Utilities Index Mark (HUI)-2 (aggregate score of sensation, mobility, cognition, self-care, emotion, pain, and fertility), HUI-3 (aggregate score of vision, hearing, speech, ambulation, dexterity, emotion, cognition, and pain), Patient Health Questionnaire-9 (PHQ-9) for depression, Short Form-36 (SF-36) aggregate mental health, SF-36 aggregate physical health, and the SF-36D Aggregate Interference score deriving from physical health and emotional problems (Brazier Index).10 The PHQ-9 and SF-36 were administered to a select subgroup of ACCORD participants. Across all measures, a higher score indicated better HRQOL. The sample size of participants completing each measure varies in part because of an HRQOL substudy that was conducted among a sample of 2053 participants who were asked to complete the SF-36 and PHQ-9.10,11 In contrast, the EuroQOL feeling thermometer, HUI-2, and HUI-3 were administered to all participants as part of their physical exam. Additionally, missing covariate data further reduced the final sample size of all analyses. The EuroQOL feeling thermometer was administered at baseline, annually over 7 years, and at the exit visit. HUI-2 and HUI-3 were administered at baseline, at years 1, 3, and 4, and at the exit interview. The PHQ-9 and SF-36 were administered at baseline and during visits at years 1, 3, and 4. We used the HRQOL measures from baseline and at year 4 in these analyses.

2.3. Statistical Analysis

We compared the year 4 HRQOL score between participants with and without DR progression among ACCORD Eye participants. DR progression was defined as: (1) ≥3-step person scale increase on the ETDRS person scale or (2) progression to PDR requiring focal laser photocoagulation or vitrectomy. We also compared HRQOL scores at year 4 between participants with and without self-reported DR development among ACCORD participants. Each HRQOL was analyzed separately.

Stepwise and lasso regression were used to evaluate these associations. Covariates examined included: age, body mass index, year of diabetes diagnosis, low density lipoprotein, total cholesterol, hemoglobin A1c, visual acuity in the worse eye at baseline, glomerular filtration rate, sex (referring to biological characteristics associated with physiology), race, highest level of education, smoking status, aspirin use, history of clinical cardiovascular events, neuropathy/nerve problems, history of cataract removal or Yag laser for cataract capsule in either eye, history of coronary artery bypass graft, history of percutaneous transluminal coronary angioplasty, other revascularization procedure, protein in urine and the score at baseline. The model with the higher adjusted R2 was used to select the subset of covariates. We reported estimates with 95% confidence intervals for each analysis, and p-values less than 0.05 were considered significant.

Pearson’s chi-squared tests were used to compare the rate of DR incidence among ACCORD participants who were and were not included in the analysis (due to drop out). Pearson’s chi-squared tests were also used to compare the distribution of DR severity among ACCORD Eye participants who were and were not included in the analysis (due to drop out). For ACCORD Eye participants we present contingency tables to evaluate the concordance between self-reported DR and DR severity from graded fundus photography. We evaluated the association between change in VA in the worse eye with DR progression among ACCORD Eye participants using multivariable regression analysis adjusted for age and sex. We used the Spearman correlation coefficient to evaluate the association between change in VA and change in HRQOL scores over time among ACCORD participants. Statistical analysis was conducted using SAS v. 9.4.

3. Results

3.1. Cohort demographics and HRQOL scores

ACCORD participant demographic, clinical, and ophthalmic characteristics are shown in Table 1. Characteristics for ACCORD Eye participants are shown in Supplementary Table 1. Table 1 and Supplementary Table 1 are based on the participants that were included in at least one HRQOL analysis. Table 2 shows the ranges for each HRQOL measures1214, minimal important differences,12,1519 as well as baseline and year 4 scores for ACCORD and ACCORD Eye participants. Of the 10,251 participants recruited in the ACCORD trial, 9,434 (92.0%) completed follow up through the end of the study.20 Of the 10,251 participants recruited in the ACCORD trial, 3,472 were enrolled in the ACCORD Eye study. Of these 3,472 participants, 2,856 (86% of surviving participants) returned for their second eye examination and fundus photographs.9

Table 1.

Demographic, clinical, and ophthalmic characteristics of ACCORD participants included in at least one HRQOL analysis.

N=6219

Age, mean ± SD, years 62.6 ± 6.6
Body mass index, mean ± SD, kg/m2 32.1 ± 5.4
Years of diabetes, mean ± SD 10.7 ± 7.5
Hemoglobin A1c, mean ± SD, % 8.3 ± 1.0
VA in the worse eye, mean ± SD, letters 69.8 ± 16.5
Glomerular filtration rate, mean ± SD, mL/min/m2 91.6 ± 28.5
Sex, no. (%)
 Male 3815 (61.3)
 Female 2404 (38.7)
Race, no. (%)
 White 3910 (62.9)
 Black 1135 (18.3)
 Hispanic 413 (6.6)
 Other 761 (12.2)
Education, no. (%)
 Less than high school graduate 855 (13.7)
 High school grad (or GED 1661 (26.7)
 Some college or technical school 2054 (33.0)
 College graduate or more 1649 (26.5)
Smoker, no. (%)
 Yes 691 (11.1)
 No 5528 (88.9)
Prior Cardiovascular Disease, no. (%)
 Yes 2126 (34.2)
 No 4093 (65.8)
Neuropathy, no. (%)
 Yes 1657 (26.6)
 No 4562 (73.4)
Cataract removal/Yag laser, no. (%)
 Yes 715 (11.5)
 No 5504 (88.5)
VA in the Worse Eye, no. (%)
 20/20+ 705 (11.3)
 <20/20–20/40 3538 (56.9)
 <20/40–20/200 1663 (26.7)
 <20/200 313 (5.0)
Self-Reported DR at Year 4, no. (%)
 Yes 577 (9.3)
 No 5642 (90.7)

Abbreviations: ACCORD, Action to Control Cardiovascular Risk in Diabetes; DR, diabetic retinopathy; GED, general education diploma; VA, visual acuity.

Table 2.

HRQOL scores at baseline and year 4 among ACCORD and ACCORD Eye participants.

ACCORD ACCORD Eye

Baseline Year 4 Baseline Year 4

Range Minimally Important Difference N, Mean ± SD N, Mean ± SD N, Mean ± SD N, Mean ± SD

EuroQOL Feeling Thermometer 0–100 7–10 6181, 76.3 ± 16.3 6163, 79.2 ± 15.3 1675, 75.8 ± 16.0 1675, 79.8 ± 15.4
HUI-2 −0.03–1.00 0.045 6175, 0.8 ± 0.2 6032, 0.8 ± 0.2 1675, 0.8 ± 0.2 1675, 0.8 ± 0.2
HUI-3 −0.36–1.00 0.032 6182, 0.7 ± 0.3 6040, 0.7 ± 0.3 1676, 0.7 ± 0.2 1649, 0.7 ± 0.3
PHQ-9 0–27 5 1106, 5.1 ± 4.7 1109, 4.5 ± 4.4 396, 5.2 ± 4.9 397, 4.4 ±4.5
SF-36 Mental Health Score 0–100 5 1096, 67.0 ± 22.8 1098, 66.4 ± 24.1 394, 66.8 ± 23.3 393, 66.1 ± 24.1
SF-36 Physical Health Score 0–100 5 1096, 50.5 ± 19.7 1098, 49.0 ± 20.4 394, 51.3 ± 20.1 393, 49.8 ± 20.2
SF-36D Brazier Index 0–1 0.041 1104, 0.7 ± 0.1 1110, 0.7 ± 0.1 395, 0.7 ± 0.1 397, 0.7 ± 0.1

Abbreviations: ACCORD, Action to Control Cardiovascular Risk in Diabetes; HRQOL, health-related quality-of-life; HUI, Health Utilities Index Mark; PDR, proliferative diabetic retinopathy; PHQ-9, Patient Health Questionnaire-9; SD, standard deviation. SF-36, Short Form-36.

3.2. Association Between HRQOL at Year 4 and DR Development/Progression

In ACCORD participants, 577 of 6219 participants (9.3%) reported developing DR over the 4-year follow-up period. Those who self-reported developing DR had a significantly lower score on the EuroQoL feeling thermometer by 3.68 points [(−4.91, −2.45), p<0.001], HUI-2 by 0.02 points [(−0.03, −0.01), p=0.005], HUI-3 by 0.04 points [(−0.06, −0.02), p<0.001], and Brazier Index by 0.03 points [(−0.04, −0.01), p=0.001] compared with those who did not report developing DR (Table 3 and Supplementary Table 2). Additionally, those who reported developing DR had a significantly higher PHQ-9 score by 0.94 points [(0.23, 1.64), p=0.009] compared with participants who did not report developing DR. There was no significant difference in the rate of self-reported DR at baseline between ACCORD participants who were and were not included in each of the HRQOL analyses at year 4 (Supplementary Table 3).

Table 3.

Regression estimates for the 4-year score in the health-related quality-of-life (HRQOL) scores between ACCORD participants who did and did not self-report DR development; and for ACCORD Eye participants who did and did not experience DR progression (≥3-step person scale increase on the Early Treatment of Diabetic Retinopathy Study scale or progression to proliferative DR requiring laser photocoagulation or vitrectomy). HRQOL measures with a significant regression estimate (p<0.05) are bolded.

ACCORD ACCORD Eye

HRQOL Measure N N (%) with DR Progressiona Estimate [95% CI] P-value N N (%) with DR Developmentb Estimate [95% CI] P-value
EuroQOL Feeling thermometer 6125 567 (9.3%) −3.68j [−4.91, −2.45] <0.001 1663 158 (9.5%) −0.65c [−2.99, 1.69] 0.503
HUI-2 5995 560 (9.3%) −0.02 k [−0.03, −0.01] 0.005 1636 154 (9.4%) −0.01d [−0.03, 0.02] 0.452
HUI-3 6006 562 (9.4%) −0.04 l [−0.06, −0.02] <0.001 1639 154 (9.4%) −0.05e [−0.09, −0.01] 0.022
PHQ-9 1065 118 (11.1%) 0.94 m [0.23, 1.64] 0.009 385 33 (8.6%) −0.18f [−1.48, 1.12] 0.786
SF-36 Mental Health 1046 116 (11.1%) −3.27 n [−7.28, 0.74] 0.110 379 33 (8.7%) 4.03g [−3.40, 11.46] 0.287
SF-36 Physical Health 1046 116 (11.1%) −1.60o [−5.33, 2.12] 0.399 379 33 (8.7%) −1.66h [−8.52, 5.20] 0.635
Brazier Index 1064 119 (11.2%) −0.03 p [−0.04, −0.01] 0.001 384 33 (8.6%) 0.01i [−0.02, 0.03] 0.676

Abbreviations: ACCORD, Action to Control Cardiovascular Risk in Diabetes; BMI, body mass index; CI, confidence interval; DR, diabetic retinopathy; ETDRS, Early Treatment of Diabetic Retinopathy Study; GFR, glomerular filtration rate; HRQOL, health-related quality-of-life; HUI, Health Utilities Index Mark; PDR, proliferative diabetic retinopathy; PHQ-9, Patient Health Questionnaire-9; SF-36, Short Form-36; VA, visual acuity.

a

DR progression in the ACCORD Eye trial was defined as: (1) ≥3-step person scale increase on the ETDRS scale or (2) progression to PDR requiring focal laser photocoagulation or vitrectomy.

b

DR development in the ACCORD trial was self-reported.

c

Adjusted for years of diabetes and baseline EuroQOL feeling thermometer score

d

Adjusted for years of diabetes, highest level of education, BMI, smoking status, neuropathy, and baseline HUI-2 score

e

Adjusted for years of diabetes, BMI, and baseline HUI-3 score

f

Adjusted for cataract removal/Yag laser history, BMI, and baseline PHQ-9 score

g

Adjusted for baseline SF-36 mental health score

h

Adjusted for smoking status, neuropathy, and baseline SF-36 physical health score

i

Adjusted for highest level of education and baseline Brazier index

j

Adjusted for BMI, GFR, race, neuropathy, and baseline EuroQOL feeling thermometer score

k

Adjusted for age, BMI, years of diabetes, VA in the worse eye, sex, race, highest level of education, smoking status, clinical history of cardiovascular events, neuropathy, and baseline HUI-2 score

l

Adjusted for age, BMI, years of diabetes, hemoglobin A1c, neuropathy, and baseline HUI-3 score

m

Adjusted for BMI, VA in the worse eye, history of cataract removal/Yag laser, and baseline PHQ-9 score

n

Adjusted for baseline SF-36 mental health score

o

Adjusted for baseline SF-36 physical health score

p

Adjusted for baseline Brazier Index

Among ACCORD Eye participants, 160 of 1687 (9.5%) had DR progression over the 4-year follow-up period. Those with progression had a significantly lower score on HUI-3 by 0.05 points [(−0.09, −0.01), p=0.022] compared with those who did not experience DR progression (Table 3 and Supplementary Table 4). There were no other significant differences in HRQOL scores at year 4 between ACCORD Eye participants who did and did not experience DR progression. There was no significant difference in the distribution of DR presence/severity at baseline between ACCORD participants who were and were not included in each of the HRQOL analyses at year 4 (Supplementary Table 5).

3.3. Association Between Visual Acuity, HRQOL at Year 4, and DR Incidence/Progression

Among both ACCORD and ACCORD Eye participants, baseline VA was not significantly associated with the score at year 4 for any HRQOL measure (p>0.05), and therefore not selected as a covariate in any longitudinal regression model (Supplementary Tables 2 and 4). After adjusting for age and sex, the change in VA in the worse eye was significantly associated with self-reported DR development among ACCORD participants (p<0.001) but not with photo-graded DR progression among ACCORD Eye participants (p=0.058) (Supplementary Table 6). Among ACCORD participants, the change in VA was significantly associated with change in HUI-2 and HUI-3 (p<0.001 for both, Supplementary Table 7).

Table 4.

Concordance Between Self-Reported DR and Photo-Based Grading of DR Status Among ACCORD Eye Participants at Baseline and Year 4

Self-Reported Presence of DR

Diabetic Retinopathy Presence/Severity, no. (%) Baseline Year 4

Yes No Yes No

No DR 14 (0.9) 1588 (99.1) 15 (2.1) 713 (97.9)
Mild DR 13 (1.8) 703 (98.2) 18 (3.6) 476 (96.4)
Moderate NPDR 84 (8.2) 941 (91.8) 76 (13.9) 472 (86.1)
Severe NPDR 0 (0) 10 (100) 0 (0) 0 (0)
PDR 3 (8.6) 32 (91.4) 20 (38.5) 32 (61.5)
Total 114 3274 129 1693

Abbreviations: ACCORD, Action to Control Cardiovascular Risk in Diabetes; DR, diabetic retinopathy; NPDR, nonproliferative diabetic retinopathy; PDR, proliferative diabetic retinopathy.

3.4. Concordance Between Self-Reported DR and photographically graded DR

Table 4 demonstrates the concordance between self-reported DR and graded fundus photos at baseline and year 4 among ACCORD Eye participants. At baseline, 1686 of 3388 participants (49.8%) stated they did not have DR despite a diagnosis of mild, moderate, or severe NPDR or PDR based on photo grading (Table 3). At year 4, 980 of 1822 participants (53.8%) stated they did not have DR despite having a diagnosis of mild or moderate NPDR, or PDR.

4. Discussion

Visual impairment can negatively influence physical, emotional, and social functioning, reducing patients’ quality of life.21 Quality-of-life measures are widely used in ophthalmic clinical trials, recognizing the importance of the participants’ experience in evaluating the effectiveness of diagnostic and treatment options.21 Although DR can be a progressive disease depending on blood glucose control, there exists a paucity of research evaluating change in QOL over time.

The objective of this study was to compare quality of life scores between patients with type 2 diabetes mellitus with versus without diabetic retinopathy development or progression in a post hoc analysis of the ACCORD and ACCORD Eye study over a 4-year follow-up period, respectively. We found that DR development (self-reported) was associated with worse subjective general health, worse HUI-3 (aggregate self-assessment of vision, hearing, speech, ambulation, dexterity, emotion, cognition, and pain), worse HUI-2 (aggregate self-assessment of aggregate score of sensation, mobility, cognition, self-care, emotion, pain, and fertility), as well as more interference from physical health and depression. We also found that DR progression (from fundus photography grading and report of treatment for PDR) (ACCORD Eye study) was associated with a decrease in HUI-3 score. To our knowledge, this is one of the most comprehensive longitudinal assessments evaluating the impact of DR on health-related quality of life. We also found that visual acuity at baseline was not associated with quality-of-life measures at year 4, demonstrating the weakness of this objective measurement in assessing participants’ well-being.

Our analysis of ACCORD participants found that participants with a self-reported DR development over four years had significantly lower scores on the feeling thermometer, HUI-2, HUI-3, and Brazier Index, after adjusting for demographic, clinical, and ophthalmic covariates as determined by the best-fit multivariable regression model. The feeling thermometer is a measure of general health status, and our results indicated that participants with DR development had a worse perception of their general health compared to those without DR. This is consistent with Mahobia et al., who reported significantly lower patient-reported general health among participants with DR compared to controls in a case-control study.22 To our knowledge, we are the first to report that participants with DR development had a significantly lower Brazier Index than those without DR development. This suggests that individuals with DR development may be perceiving higher levels of interference in their daily life from their physical and emotional problems and may benefit from counseling and other forms of psychosocial support.

Although ACCORD participants with self-reported DR development had a small difference in HUI-2 and HUI-3 scores at year 4 compared to those without DR, these differences were statistically significant and changes as low as 0.01 can be clinically meaningful.23 Maddigan et al. reported on the association between diabetes and worse HUI-2, and our study further adds that worse HUI-2 scores are related to DR, a microvascular complication of diabetes.24 Furthermore, existing literature (primarily cross-sectional) confirms a significant association between worse HUI-3 and DR.25,26 HUI-3 includes a vision attribute, suggesting that DR development negatively impacts vision-related QOL. However, we were unable to analyze the association between DR development or progression and vision scores separately due to data availability issues. Future research could investigate the association between DR development and change in vision-related QOL over time in a longitudinal cohort study. Among ACCORD Eye participants, HUI-3 was the only HRQOL significantly associated with DR progression. While ACCORD participants self-reported DR development, ACCORD Eye participants received standardized eye examinations, which may explain the difference in results between analyses, as the eye examinations included fundus photography and standardized DR severity grading using the ETDRS scale. Additionally, individuals who self-report DR development may be likely to report worse QOL because of concerns regarding possible future vision loss.

In contrast to our expectations, ACCORD participants with self-reported DR development had a significantly higher PHQ-9 at year 4 compared with those without DR development. This also contradicts existing literature, which found that depression is more common among those with DR compared with diabetes only.27 Valluru et al. also reported that patients with moderate to severe NPDR more commonly had depression compared to those with no DR, mild NPDR, or PDR.28 Only 11.1% of ACCORD participants who completed the PHQ-9 self-reported DR development, and this small sample size likely limited our analysis. Our analysis of ACCORD participant data was also limited using self-reported DR status, rather than the use of standardized eye examinations.

Our analysis also showed that visual acuity at baseline was not significantly associated with any HRQOL measures despite visual acuity in the worse-seeing eye previously having been shown to have a better correlation with QOL measures than the visual acuity of the better-seeing eye.29 Additionally, change in VA was not significantly associated with change in HRQOL measures over time among ACCORD participants (Supplementary Table 7). While change in HUI-2 and HUI-3 scores were significantly associated with change in VA, these analyses were unadjusted and subject to confounding. Furthermore, change in VA was not significantly associated with the distribution of DR severity in the ACCORD Eye analyses (which used fundus photos to grade severity) (Supplementary Table 6). Previous studies have reported inconsistent associations of visual acuity with various types of vision functioning: Chen et al. reported that visual acuity detected only 43% and 45% of post-panretinal photocoagulation participants with subnormal performance on visual function testing at the baseline and final visits;29 in contrast, the Low Luminance Questionnaire, a validated tool designed to evaluate patient-reported functional impairments in dim lighting and at night, detected 81–90% of participants with abnormal visual function testing.29 Overall, this indicates that visual acuity may not capture patients’ psychosocial distress and impairments in daily functioning that may be secondary to DR development and progression. Providers should instead rely on the results of subjective, validated surveys to understand the social and emotional impact of DR on their patients, as well as identify patients who may benefit from additional emotional or psychiatric management.29 That being said, our study may have been inadequately powered to detect differences in HRQOL scores by VA, as the majority of included participants in both the ACCORD and ACCORD Eye analyses had relatively good vision (better than 20/40).

The strengths of this study lie in the comprehensiveness of the HRQOL tools administered to ACCORD and ACCORD Eye participants. With five validated surveys, we were able to assess physical, emotional, and social wellbeing in our analysis. Furthermore, our longitudinal analysis spanned four years, in contrast to existing literature that investigates the association between DR and QOL with cross-sectional study designs. Additionally, we utilized the stepwise and lasso regression techniques to determine the appropriate covariates for the analysis of the year 4 score of each QOL measure. However, there were also several limitations inherent to the post hoc study design. To begin with, ACCORD participants self-reported the presence of DR, and their responses were not confirmed by any record review. Therefore, the analysis of this cohort was susceptible to recall bias. When evaluating the concordance between self-reported DR and DR diagnosed by fundus photograph grading, over half of ACCORD Eye participants reported no DR despite presence of DR on photographic grading, demonstrating the limitations in accuracy of self-reported DR. This may also reflect the absence of subjective symptoms during the early stages of DR, when pathologic changes in the eye are not vision-threatening and apparent to the patient. Furthermore, less than 12% of participants in both the ACCORD and ACCORD Eye cohorts who completed each HRQOL measure experienced DR progression or development, making our analysis susceptible to small-sample bias. Also, approximately 8% of ACCORD participants and 14% of ACCORD Eye participants were lost to follow up and 3% died. While there was no significant difference in the DR rate/severity at baseline among ACCORD and ACCORD Eye participants included and excluded (due to drop out) from analyses at year 4, the number of participants completing the HRQOL measures at baseline is not same as the number of participants completing the HRQOL measures at year 4. This limits the conclusions that can be drawn about participants who were included relative to those who were excluded from analysis at year 4, and it is possible that those who were excluded had a significantly different DR rate/severity at baseline than those who were not excluded. Finally, some significant associations between DR progression/development and HRQOL scores at year 4 may not be clinically significant.

In conclusion, participants with type 2 diabetes mellitus with DR development or progression over a 4-year period had worsened health-related quality of life compared with those who remain stable over time. Furthermore, quality of life at year 4 was unrelated to visual acuity, demonstrating the importance of patient-reported outcomes in clinical research and practice.

Supplementary Material

1
2
3
4
5
6
7

Highlights.

  • Diabetic retinopathy development was associated with worse quality-of-life scores

  • Diabetic retinopathy progression was associated with worse quality-of-life scores

  • Visual acuity was not associated with any quality-of-life measures

5. Acknowledgments and Financial Disclosure

Funding/Support:

The authors are supported by the funds of the intramural research program of the National Eye Institute, National Institutes of Health

Financial Disclosures:

No financial disclosures

Footnotes

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

6. References

  • 1.Lundeen EA, Burke-Conte Z, Rein DB, et al. Prevalence of Diabetic Retinopathy in the US in 2021. JAMA Ophthalmology. 2023;141(8):747–754. 10.1001/jamaophthalmol.2023.2289 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Pereira DM, Shah A, D’Souza M, et al. Quality of Life in People with Diabetic Retinopathy: Indian Study. J Clin Diagn Res. Apr 2017;11(4):Nc01–nc06. 10.7860/jcdr/2017/24496.9686 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Barsegian A, Kotlyar B, Lee J, Salifu MO, McFarlane SI. Diabetic Retinopathy: Focus on Minority Populations. Int J Clin Endocrinol Metab. 2017;3(1):034–45. 10.17352/ijcem.000027 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Roberts-Martínez Aguirre I, Rodríguez-Fernández P, González-Santos J, et al. Exploring the Quality of Life Related to Health and Vision in a Group of Patients with Diabetic Retinopathy. Healthcare. 2022;10(1):142. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Zayed MG, Karsan W, Peto T, Saravanan P, Virgili G, Preiss D. Diabetic Retinopathy and Quality of Life: A Systematic Review and Meta-Analysis. JAMA Ophthalmology. 2024;142(3):199–207. 10.1001/jamaophthalmol.2023.6435 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Wirkkala J, Kubin A-M, Ohtonen P, Falck A, Hautala N. Outcomes of 35-year duration of type 1 diabetes and proliferative diabetic retinopathy on functional vision and quality of life: Benefits of good glycemic control. Journal of Diabetes and its Complications. 2023/02/01/2023;37(2):108408. 10.1016/j.jdiacomp.2023.108408 [DOI] [PubMed] [Google Scholar]
  • 7.Mitchell P, Bandello F, Schmidt-Erfurth U, et al. The RESTORE study: ranibizumab monotherapy or combined with laser versus laser monotherapy for diabetic macular edema. Ophthalmology. Apr 2011;118(4):615–25. 10.1016/j.ophtha.2011.01.031 [DOI] [PubMed] [Google Scholar]
  • 8.Effects of Intensive Glucose Lowering in Type 2 Diabetes. New England Journal of Medicine. 2008;358(24):2545–2559. 10.1056/NEJMoa0802743 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Chew EY, Davis MD, Danis RP, et al. The effects of medical management on the progression of diabetic retinopathy in persons with type 2 diabetes: the Action to Control Cardiovascular Risk in Diabetes (ACCORD) Eye Study. Ophthalmology. Dec 2014;121(12):2443–51. 10.1016/j.ophtha.2014.07.019 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Sullivan MD, Anderson RT, Aron D, et al. Health-related quality of life and cost-effectiveness components of the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial: rationale and design. Am J Cardiol. Jun 18 2007;99(12a):90i–102i. 10.1016/j.amjcard.2007.03.027 [DOI] [PubMed] [Google Scholar]
  • 11.Anderson RT, Narayan KM, Feeney P, et al. Effect of intensive glycemic lowering on health-related quality of life in type 2 diabetes: ACCORD trial. Diabetes Care. Apr 2011;34(4):807–12. 10.2337/dc10-1926 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Walters SJ, Brazier JE. Comparison of the minimally important difference for two health state utility measures: EQ-5D and SF-6D. Quality of Life Research. 2005/08/01 2005;14(6):1523–1532. 10.1007/s11136-004-7713-0 [DOI] [PubMed] [Google Scholar]
  • 13.Llach XB, Herdman M, Schiaffino AA. Determining Correspondence Between Scores on the EQ-5D “Thermometer” and a 5-Point Categorical Rating Scale. Medical Care. 1999;37(7) [DOI] [PubMed] [Google Scholar]
  • 14.Kavirajan H, Hays RD, Vassar S, Vickrey BG. Responsiveness and construct validity of the health utilities index in patients with dementia. Med Care. Jun 2009;47(6):651–61. 10.1097/MLR.0b013e31819241b9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Pickard AS, Neary MP, Cella D. Estimation of minimally important differences in EQ-5D utility and VAS scores in cancer. Health Qual Life Outcomes. Dec 21 2007;5:70. 10.1186/1477-7525-5-70 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Nolan CM, Longworth L, Lord J, et al. The EQ-5D-5L health status questionnaire in COPD: validity, responsiveness and minimum important difference. Thorax. Jun 2016;71(6):493–500. 10.1136/thoraxjnl-2015-207782 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Löwe B, Unützer J, Callahan CM, Perkins AJ, Kroenke K. Monitoring depression treatment outcomes with the patient health questionnaire-9. Med Care. Dec 2004;42(12):1194–201. 10.1097/00005650-200412000-00006 [DOI] [PubMed] [Google Scholar]
  • 18.Luo N, Johnson JA, Coons SJ. Using Instrument-Defined Health State Transitions to Estimate Minimally Important Differences for Four Preference-Based Health-Related Quality of Life Instruments. Medical Care. 2010;48(4):365–371. [DOI] [PubMed] [Google Scholar]
  • 19.Wyrwich KW, Fihn SD, Tierney WM, Kroenke K, Babu AN, Wolinsky FD. Clinically important changes in health-related quality of life for patients with chronic obstructive pulmonary disease: an expert consensus panel report. J Gen Intern Med. Mar 2003;18(3):196–202. 10.1046/j.1525-1497.2003.20203.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Long-Term Effects of Intensive Glucose Lowering on Cardiovascular Outcomes. New England Journal of Medicine. 2011;364(9):818–828. 10.1056/NEJMoa1006524 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Assi L, Chamseddine F, Ibrahim P, et al. A Global Assessment of Eye Health and Quality of Life: A Systematic Review of Systematic Reviews. JAMA Ophthalmology. 2021;139(5):526–541. 10.1001/jamaophthalmol.2021.0146 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Mahobia A, Sahoo SR, Maiti N, et al. Diabetic Retinopathy and Its Effect on Quality of Life: An Original Research. J Pharm Bioallied Sci. Nov 2021;13(Suppl 2):S1365–s1368. 10.4103/jpbs.jpbs_199_21 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Horsman J, Furlong W, Feeny D, Torrance G. The Health Utilities Index (HUI®): concepts, measurement properties and applications. Health and Quality of Life Outcomes. 2003/10/16 2003;1(1):54. 10.1186/1477-7525-1-54 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Maddigan SL, Feeny DH, Johnson JA. Construct validity of the RAND-12 and Health Utilities Index Mark 2 and 3 in type 2 diabetes. Quality of Life Research. 2004/03/01 2004;13(2):435–448. 10.1023/B:QURE.0000018497.06539.8f [DOI] [PubMed] [Google Scholar]
  • 25.Lloyd A, Nafees B, Gavriel S, Rousculp MD, Boye KS, Ahmad A. Health utility values associated with diabetic retinopathy. Diabetic Medicine. 2008;25(5):618–624. 10.1111/j.1464-5491.2008.02430.x [DOI] [PubMed] [Google Scholar]
  • 26.Pongsachareonnont PF, Sakthong P, Chaikitmongkol V, et al. Health Utility Values Among Patients With Diabetic Retinopathy, Wet Age-Related Macular Degeneration, and Cataract in Thailand: A Multicenter Survey Using Time Trade-Off, EQ-5D-5L, and Health Utility Index 3. Value in Health Regional Issues. 2024/11/01/2024;44:101030. 10.1016/j.vhri.2024.101030 [DOI] [PubMed] [Google Scholar]
  • 27.Kalva P, Shi A, Kakkilaya A, Saleh I, Albadour M, Kooner K. Associations between depression and diabetic retinopathy in the National Health and Nutrition Examination Survey, 2011 to 2018. Proc (Bayl Univ Med Cent). 2024;37(2):262–267. 10.1080/08998280.2024.2301917 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Valluru G, Costa A, Klawe J, Liu B, Deobhakta A, Ahmad S. Depression in Individuals With Diabetic Retinopathy in the US National Health and Nutrition Examination Survey, 2005–2008. American Journal of Ophthalmology. 2023/12/01/2023;256:63–69. 10.1016/j.ajo.2023.07.005 [DOI] [PubMed] [Google Scholar]
  • 29.Chen XD, Gardner TW. Patient-Reported Outcomes Reveal Impairments Not Explained by Psychophysical Testing in Patients With Regressed PDR. Transl Vis Sci Technol. Jul 2019;8(4):11. 10.1167/tvst.8.4.11 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

1
2
3
4
5
6
7

RESOURCES