Abstract
Aims/hypothesis
We hypothesised that adolescents with type 1 diabetes with a urinary albumin/creatinine ratio (ACR) in the upper tertile of the normal range (high ACR) are at greater risk of three-step diabetic retinopathy progression (3DR) independent of glycaemic control.
Methods
This was a prospective observational study in 710 normoalbuminuric adolescents with type 1 diabetes from the non-intervention cohorts of the Adolescent Cardio-Renal Intervention Trial (AdDIT). Participants were classified as ‘high ACR’ or ‘low ACR’ (lowest and middle ACR tertiles) using baseline standardised log10 ACR. The primary outcome, 3DR, was determined from centrally graded, standardised two-field retinal photographs. 3DR risk was determined using multivariable Cox regression for the effect of high ACR, with HbA1c, BP, LDL-cholesterol and BMI as covariates; diabetes duration was the time-dependent variable.
Results
At baseline mean ± SD age was 14.3 ± 1.6 years and mean ± SD diabetes duration was 7.2 ± 3.3 years. After a median of 3.2 years, 83/710 (12%) had developed 3DR. In multivariable analysis, high ACR (HR 2.1 [1.3, 3.3], p=0.001), higher mean IFCC HbA1c (HR 1.03 [1.01, 1.04], p=0.001) and higher baseline diastolic BP SD score (HR 1.43 [1.08, 1.89], p=0.01) were independently associated with 3DR risk.
Conclusions/interpretation
High ACR is associated with greater risk of 3DR in adolescents, providing a target for future intervention studies.
Trial registration
isrctn.org ISRCTN91419926.
Graphical abstract
Introduction
Prevention of sight-threatening diabetic retinopathy through early intervention requires timely screening and identification of people at greatest risk of diabetic retinopathy progression [1]. Urinary albumin/creatinine ratio (ACR) within the upper tertile (high ACR) of the normoalbuminuric range during the early years following type 1 diabetes diagnosis is associated with future risk of kidney disease [2] and cardiovascular risk [3], impaired cardiac autonomic function [4] and early alterations in the retinal microvasculature [5], when compared with a lower ACR despite shorter diabetes duration. However, an association between ACR and risk of diabetic retinopathy progression has not been clearly established in youth with type 1 diabetes. Glycaemic control and diabetes duration are the most consistently shown determinants for diabetic retinopathy progression [1].
In addition to active intervention, the Adolescent Type 1 Diabetes Cardio-Renal Intervention Trial (AdDIT) included a parallel observational (non-intervention) natural history cohort of participants with high ACR and low ACR in whom the outcome of diabetic retinopathy was examined. Utilising this observational cohort, we hypothesised that high ACR is associated with greater risk of diabetic retinopathy progression independent of glycaemic control.
Methods
Study population
Overall, 4407 adolescents with type 1 diabetes were screened for participation in AdDIT, each providing three consecutive early morning urine samples at two separate visits. Centralised assessment of all urine samples was performed at the WellChild Laboratory, Evelina Children’s Hospital, London. The average residual was calculated using age, sex and duration and the coefficients from the previous models [6]. ACR tertile assignment was as follows: upper-tertile (high ACR group) ACR >1.2 middle-tertile ACR 0.8–1.2 and lower-tertile ACR <0.8. The lower two tertiles were combined for analysis as the ‘low ACR’ group [7].
We assessed 710 natural history participants (510 low ACR and 200 high ACR) who attended repeat annual standardised visits and had gradable retinal photography across three countries (UK, Canada and Australia) using protocols previously described [5]. Anonymised digital retinal photographs were centralised to the Centre for Eye Research Australia, Melbourne, VIC, Australia for diabetic retinopathy grading according to the Early Treatment Diabetic Retinopathy Study [8] by expert graders masked to ACR tertile and clinical characteristics. Three-or-more-step diabetic retinopathy progression (3DR) in the worse eye was the primary outcome measure, as used in the DCCT [9]; the minimum grade of those with 3DR was grade 31.
HbA1c was analysed at each centre, using DCCT-aligned methods [7]. HbA1c results were retrieved from clinical databases to calculate mean HbA1c values through the study period. Upper HbA1c tertile was assigned to mean HbA1c values ≥74 mmol/mol (8.9%) and compared with the lower two HbA1c tertiles combined into a single category (HbA1c ≥74 mmol/mol [8.9%] vs HbA1c <74 mmol/mol [8.9%]). Lipid profile (cholesterol, HDL-cholesterol, LDL-cholesterol, triacylglycerols) was measured using routine laboratory methods [7].
Height, weight and BMI SD scores (SDSs) were calculated according to the least mean squares method [10]. BP was measured (mean of two measures) using an Omron M6 BP (all centres) with an appropriately sized cuff with SDS calculated [11]. The study was approved by the Cambridge University Hospitals Research Ethics Committee and local ethics committees internationally. Parents and participants provided written informed consent and assent.
Statistics
Descriptive baseline statistics comparing high vs low ACR and 3DR progressors vs 3DR non-progressors are presented as mean ± SD for normally distributed data, median (IQR) for skewed distributions and as n (%) for proportions. Differences between continuous independent samples were evaluated using independent t tests for normally distributed data, or Kruskal–Wallis test for skewed data. χ2 test was used to determine differences between proportions.
The primary outcome measure was 3DR, which was examined using Cox proportional hazard regression. Diabetes duration was used as the time-dependent variable. HRs and 95% CIs are reported per one unit change in the risk factor. Explanatory variables included the following: high ACR and low ACR; mean HbA1c and HbA1c ≥74 mmol/mol (8.9%); BP SDS; BMI SDS; and LDL-cholesterol and diabetic retinopathy status at baseline. All statistical analyses were conducted using SPSS version 25 (https://www.ibm.com/au-en/products/spss-statistics).
Results
At baseline, mean ± SD age was 14.3 ± 1.6 years and mean ± SD diabetes duration was 7.2 ± 3.3 years. There were no significant differences between the high ACR and low ACR groups with respect to age, sex distribution, systolic BP (SBP) SDS, diastolic BP (DBP) SDS, BMI SDS, HbA1c or LDL-cholesterol. The high ACR group had shorter diabetes duration (electronic supplementary material [ESM] Table 1). Participants had a median (IQR) of 4 (2–5) assessments after a median 3.2 years of follow-up; 3DR developed in 83/712 (11.7%). Cumulative incidence of 3DR in the high vs low ACR group was 15.5% vs 10.2%, p=0.048 (ESM Table 1).
In univariable Cox regression analysis, high ACR, higher HbA1c and higher DBP SDS were associated with greater risk of 3DR (Table 1).
In multivariable Cox regression analyses, greater 3DR risk was associated with high ACR (HR 2.1 [1.3, 3.3], p=0.001), IFCC HbA1c (HR 1.03 [1.01, 1.04], p=0.001) and DBP SDS (HR 1.43 [1.08, 1.89], p=0.01) (Fig. 1). 3DR risk was not associated with diabetic retinopathy at baseline, nor lipid levels nor BMI (Table 1).
In the low ACR group, HbA1c ≥74 mmol/mol (8.9%) significantly increased 3DR risk to that comparable with the high ACR groups. In the high ACR groups, HbA1c ≥74 mmol/mol was not associated with greater 3DR risk (Fig. 1).
Discussion
Previously reported data from the AdDIT cohorts highlighted the systemic nature of the pre-clinical diabetic endotheliopathy by describing that high ACR was associated with changes in retinal vascular geometry [5], greater risk of albuminuria and greater thickening of carotid intima–media thickness [12]. In this multinational AdDIT natural history cohort, we demonstrate that upper-tertile ACR (high ACR group) within the normoalbuminuric range was associated with greater risk of 3DR after adjusting for HbA1c. Furthermore, we demonstrate that early rise in DBP and HbA1c ≥74 mmol/mol (8.9%) significantly increased risk of 3DR particularly in the low ACR group.
Interestingly, in the high ACR group, higher mean HbA1c (≥74 mmol/mol [8.9%]) did not significantly modify risk of 3DR, suggesting that the inherent biological risk for progression of microvascular complications may be largely independent of appropriate glycaemic control. This is important in clinical care settings, as individuals identified as ‘high risk’ through ACR screening should continue to be closely monitored for complications despite optimal glycaemic control and highlights a need for interventions other than glycaemic control to ameliorate risk and progression diabetic retinopathy.
Our findings of greater risk in the high ACR group complement the diabetic retinopathy screening advice for adolescents arising from the DCCT/EDIC [13] study group, primarily based on HbA1c levels. At the same time, our findings are in keeping with the greatest risk factors for proliferative diabetic retinopathy in the DCCT, including an elevated urinary albumin excretion rate and higher mean DBP [14]. Importantly, in our study, the presence or absence of diabetic retinopathy at baseline did not influence risk of 3DR, thus further demonstrating the robust nature of stratification by ACR groups in youth with shorter diabetes duration. Notably, the high ACR group had a lower proportion of diabetic retinopathy at baseline, likely related to shorter diabetes duration. In keeping with our hypothesis, a higher proportion of high ACR participants developed 3DR with ongoing diabetes exposure despite shorter diabetes duration. Those with high ACR appear to have an underlying predisposition for a systemic endotheliopathy that progresses more rapidly as evidenced by 3DR. The evidence supports both genetic and metabolic mechanisms that protect and predispose from diabetes complications [15], although clinically measurable and reproducible biomarkers associated with such risk have been elusive. Our data suggest that broader screening through ACR may assist to identify a ‘high risk’ group in the population who are predisposed to earlier onset of complications and likely to benefit from earlier intervention.
In the low ACR group, those with HbA1c ≥74 mmol/mol (8.9%) had significantly increased risk of 3DR similar to the high ACR group, thus confirming that HbA1c significantly influences and modifies diabetic retinopathy and in keeping with findings from the DCCT/EDIC studies [16]. Hence, screening for microvascular complications is influenced by an inherent biological predisposition, which is significantly modified by glycaemic exposure.
In addition, an early elevation of DBP even within the normotensive range significantly increased risk of 3DR, consistent with our previous findings that DBP and SBP increases within the normotensive range associate with incident diabetic retinopathy in adolescents with type 1 diabetes [17].
The strengths of our study include a large multinational population from a study collaboration with standardised methods. Limitations include a low number of photographs, relatively short time in study period and the post hoc examination of these cohorts. However, we analysed a non-intervention population and used total diabetes duration as our time-dependent variable since the predominant effect of duration is more pronounced for diabetic retinopathy. Furthermore, the low ACR group had longer diabetes duration, thereby making an underestimate of 3DR unlikely in this group compared with the high ACR group.
In conclusion, we demonstrate that urinary ‘high ACR’, albeit in the normoalbuminuria range, identifies adolescents at greater risk of diabetic retinopathy progression. This was despite shorter diabetes duration and after adjusting for glycaemic exposure. We also observed that early DBP elevation significantly modifies 3DR risk. Higher glycaemic burden increases risk of 3DR particularly in the low ACR group and remains a crucial target for intervention. Further research to translate the ACR screening threshold into real-world application is required. The longitudinal follow-up from AdDIT cohorts will provide invaluable insight into the mechanisms underlying diabetes complications and the potential benefits of early ‘pre-complications’ interventions in paediatric cohorts.
Data availability
The datasets generated during and/or analysed during the current study are available from the AdDIT Steering Committee through the corresponding author on reasonable request. Data repository name: Department of Paediatrics, University of Cambridge.
Abbreviations
- 3DR:
-
Three-or-more-step diabetic retinopathy progression
- ACR:
-
Albumin/creatinine ratio
- AdDIT:
-
Adolescent Type 1 Diabetes Cardio-Renal Intervention Trial
- DBP:
-
Diastolic BP
- SBP:
-
Systolic BP
- SDS:
-
SD score
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Acknowledgements
This article is submitted with thanks to, and in honour of, Professor David B. Dunger who initiated and led the AdDIT studies. David was a leader, mentor, advocate and humble worker in the diabetes world. This work is part of his legacy. Rest well our friend.
The authors would like to thank all AdDIT centres and research nurses as well as the English National Diabetic Retinopathy Screening Programme (in particular P. Scanlon [Nuffield Department of Clinical Neurosciences, University of Oxford, and Gloucestershire Retinal Research Group, Cheltenham General Hospital, Cheltenham, UK] and H. Lipinski [Oxfordshire Diabetic Eye Screening Programme, John Radcliffe Hospitals NHS Foundation Trust, Oxford, UK]) for their advice and support. The authors thank the following people: A. Pryke, J. Cusumano and T. Jopling for data compilation (The Children’s Hospital at Westmead, Sydney); Study coordinators and research nurses B. Sheil and J. Dart (Princess Alexandra Hospital, Perth); N. D’Silva, J. Nesbit and J. Wilson, (Mater Children’s Hospital, Department of Paediatric Endocrinology, Brisbane); M. Krieg and T. Kelly (Women’s and Children’s Hospital, Adelaide); and N. Jackson and C. Bingley (Royal Melbourne Children’s Hospital). We also thank our research collaborators and research nurses in the UK and Canada: A. Murray (Middlesbrough); A. Kempa (Northampton); C. Cleaver (Aylesbury); C. Fish (Bolton); C. Megson (Oxford); C. O’Brien (Cambridge); E. Thomson (Newcastle); F. Riley (Ipswich); H. Roper (Norwich); I. Newham (Birmingham); J. Bowen-Morris (Oxford); J. Exall (Leeds); J. Spimpolo (Northampton); J. Exall and J. Hassler-Hurst (Ipswich); L. Swart (Manchester); L. Bunton (Oxford); L. Fear (Norwich); L. Dudgeon (Northampton); N. Pemberton (Wigan); P. Woodsford (Newcastle); S. Dymond (Bristol); S. Bennett (Stepping Hill); S. Chapman (Cambridge); and Y. Elia (Toronto). We thank all the participants and their families for their involvement in this study. We also acknowledge the full list of participating AdDIT investigators (see Appendix).
Authors’ relationships and activities
The authors declare that there are no relationships or activities that might bias, or be perceived to bias, their work.
Funding
The National Health and Medical Research Council of Australia (NHMRC) 632521 provided funding for this study in particular and the Juvenile Diabetes Foundation International, British Heart Foundation, Diabetes UK, Canadian Clinical Trial Network provided funding for AdDIT as a whole.
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Contributions
PBA collected and analysed the data, and wrote the manuscript. MLM and STC collected data, contributed to manuscript writing and provided advice on data analysis. KCD, MEC, TYW, EAD, AC, JJC, FJC, FHM, AN, TWJ, LABH, RND, SMM, JD and DBD contributed to data collection and reviewed and edited the manuscript. DBD, JD, TWJ, FHM and KCD obtained funding for the study. KCD is the guarantor of this work and takes full responsibility for the contents of the article.
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Professor David B. Dunger, who initiated and led the AdDIT studies, died in July 2021 before publication of this work.
Supplementary Information
ESM
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Appendix
Appendix
AdDIT investigators Australia: Tim Jones (Perth); Kim Donaghue (Sydney); Maria Craig (Sydney); Fergus Cameron (Melbourne); Jennifer Couper (Adelaide); Elizabeth Davis (Perth); Andrew Cotterill (Brisbane); Bruce King (Newcastle); Charles Verge (Sydney); Phil Bergman (Victoria); Christine Rodda (Victoria); and Paul Benitez-Aguirre (Sydney). UK: Carlo Acerini (Cambridge)a; Fran Ackland (Northampton); Binu Anand (West Suffolk); Tim Barrett (Birmingham); Virginia Birrell (Middlesbrough); Fiona Campbell (Leeds);Tim Cheetham (Newcastle upon Tyne); Chris Cooper (Stockport); Ian Doughty (Manchester); Atanu Dutta (Stoke Mandeville); Julie Edge (Oxford); Julian Hamilton-Shield (Bristol); James Heywood (Cambridge); Nicola Leech (Newcastle upon Tyne); Nick Mann (Reading); Richard Parker (Cambridge); Gerry Rayman (Ipswich); Jonathon Mark Robinson (Wigan); Michelle Russell-Taylor (High Wycombe); Vengudi Sankar (Bolton); Nandu Thalange (Norwich); and Mark Wilson (Cambridge). Canada: Farid Mahmud (Toronto); Cheril Clarson (London, Ontario); Jacqueline Curtis (Toronto); Etienne Sochett (Toronto); and Denis Daneman (Toronto).
aCarlo Acerini died in May 2019, prior to publication of this work.
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Benitez-Aguirre, P.Z., Marcovecchio, M.L., Chiesa, S.T. et al. Urinary albumin/creatinine ratio tertiles predict risk of diabetic retinopathy progression: a natural history study from the Adolescent Cardio-Renal Intervention Trial (AdDIT) observational cohort. Diabetologia 65, 872–878 (2022). https://doi.org/10.1007/s00125-022-05661-1
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DOI: https://doi.org/10.1007/s00125-022-05661-1