Retinal age gap as a predictive biomarker of stroke risk - BMC Medicine - BMC Medicine

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Abstract

Background

The purpose of this survey is to analyse the relation of retinal property spread with the hazard of incidental changeable and its predictive worth for incidental stroke.

Methods

A full of 80,169 fundus images from 46,969 participants successful the UK Biobank cohort met the representation prime standard. A heavy learning exemplary was constructed based connected 19,200 fundus images of 11,052 disease-free participants astatine baseline for property prediction. Retinal property spread (retinal property predicted based connected the fundus representation minus chronological age) was generated for the remaining 35,917 participants. Stroke events were determined by information linkage to infirmary records connected admissions and diagnoses, and nationalist decease registers, whichever occurred earliest. Cox proportional hazards regression models were utilized to estimation the effect of retinal property spread connected hazard of stroke. Logistic regression models were utilized to estimation the predictive worth of retinal property and well-established hazard factors successful 10-year changeable risk.

Results

A full of 35,304 participants without past of changeable astatine baseline were included. During a median follow-up of 5.83 years, 282 (0.80%) participants had changeable events. In the afloat adjusted model, each one-year summation successful the retinal property spread was associated with a 4% summation successful the hazard of changeable (hazard ratio [HR] = 1.04, 95% assurance interval [CI]: 1.00–1.08, P = 0.029). Compared to participants with retinal property spread successful the archetypal quintile, participants with retinal property spread successful the 5th quintile had importantly higher risks of changeable events (HR = 2.37, 95% CI: 1.37–4.10, P = 0.002). The predictive capableness of retinal property unsocial was comparable to the well-established hazard factor-based exemplary (AUC=0.676 vs AUC=0.661, p=0.511).

Conclusions

We recovered that retinal property spread was importantly associated with incidental stroke, implying the imaginable of retinal property spread arsenic a predictive biomarker of changeable risk.

Peer Review reports

Background

Stroke is the 2nd starring origin of decease and a starring origin of disablement worldwide [1, 2]. An close prediction of changeable hazard is of large value successful identifying individuals astatine precocious risks astatine an aboriginal signifier to instrumentality personalized preventative and therapeutic interventions [3]. Chronological property is 1 of the astir important hazard factors for changeable [4]. Of note, the trajectories of ageing alteration importantly among individuals with the aforesaid chronological property [5]. Growing grounds has shown that biologic age, an integrated measurement reflecting the combined effects of environmental, manner and familial factors, could person much worth than chronological property successful the prediction of age-related diseases and mortality [6, 7].

This highlights the request for an close biomarker of biologic ageing. A bid of effectual measurements person been developed by erstwhile studies [8,9,10,11]. Notably, accrued biologic property measured by leukocyte telomere length, epigenetic timepiece oregon encephalon property has been associated with a higher hazard of changeable [12,13,14,15]. However, these measurements are invasive, costly and time-consuming, and therefore, not suitable for wide use.

The retina is considered arsenic an hold of the cardinal tense strategy (CNS), offering a unsocial “window” that tin non-invasively bespeak the changes of encephalon neural tissues and vasculature successful vivo [16]. Mounting grounds has reported that assorted retinal parameters (such arsenic tortuosity, fractal dimension) [17], retinal pathologies (such arsenic arteriovenous nicking and microaneurysms) [18] oregon retinal diseases (such arsenic diabetic retinopathy, retinal artery oregon vein occlusion) [19,20,21] were associated with the hazard of cerebrovascular diseases specified arsenic stroke. This mightiness beryllium explained by the similarities betwixt the retina and the encephalon successful presumption of embryological origins, anatomy and physiology [22]. Therefore, the retina could perchance beryllium utilized to measurement systemic senescence. With the advances of heavy learning (DL) exertion successful analyzing aesculapian images [23], we person developed an algorithm that uses a retinal representation arsenic the input to foretell the retinal property of an idiosyncratic accurately. We besides validated the retinal property gap, determined arsenic retinal property derived from fundus images minus chronological age, was a robust biomarker associated with the hazard of mortality. However, whether the retinal property spread tin beryllium utilized arsenic a biomarker and/or a predictor of incidental changeable remains unknown. Therefore, we aimed to analyse the relation betwixt the retinal property spread and the hazard of incidental stroke, and its predictive capableness of changeable based connected information from the UK Biobank study.

Methods

Study population

The UK biobank is simply a large-scale population-based prospective cohort survey of 502, 656 UK residents aged 40 to 69 years who were registered with the National Health Service (NHS). The wide survey protocols and information are disposable elsewhere [24]. Briefly, baseline assessments were performed betwixt 2006 and 2010 successful 22 appraisal centres crossed the UK. Participants completed physics questionnaires to supply accusation connected socio-demographics, lifestyle, biology exposures, aesculapian past and cognitive functions. Physical examinations including humor pressure, bosom rate, grip strength, anthropometrics and spirometry were done for each participants. Biological samples including stored blood, urine and saliva samples were collected. Follow-up of aesculapian conditions was performed chiefly done information linkages to infirmary records and mortality registries.

This survey was reviewed and approved by the National Information Governance Board for Health and Social Care and the NHS North West Multicenter Research Ethics Committee (11/NW/0382) and the Biobank consortium (application no. 62489). Since we utilized de-identified information successful a nationalist dataset, the Medical Research Ethics Committee of Guangdong Provincial People’s Hospital waived the requirements to get the ethical approval. The survey was performed successful accordance with the Declaration of Helsinki. All participants provided informed consent.

Fundus photography

Between 2009 and 2010, ophthalmic examinations were introduced astatine six appraisal centres crossed the UK [25]. The 45° non-mydriatic retinal fundus and optical coherence tomography (OCT) imaging of the optic disc and macular were captured utilizing a spectral domain OCT for each oculus (Topcon 3D OCT 1000 Mk2, Topcon Corp, Tokyo, Japan). At baseline, ophthalmic examinations were completed successful 66,500 participants, resulting successful a full of 131,238 fundus images.

Deep learning exemplary for property prediction

A full of 80,169 images from 46,969 participants passed the representation prime cheque and were included successful the analysis. The characteristics of the participants stratified by the fig of images passing the prime cheque were described successful item successful Additional record 1: Table S1. Among 46,969 participants, 11,052 participants did not study immoderate erstwhile illness astatine baseline. The DL exemplary for property prediction was constructed based connected fundus images of disease-free participants. To maximize the information available, binocular images, if available, were utilized for grooming and validation. The relation betwixt the retinal property spread and changeable was investigated utilizing images from the remaining 35,304 participants who had nary past of changeable astatine baseline. Images from the close oculus were included successful the trial acceptable to foretell retinal property and images from the near oculus were utilized lone if images from the close oculus were not available.

The methods of retinal property prediction utilizing DL models were described successful item successful a erstwhile survey [26]. Our erstwhile survey has assessed the show of the DL exemplary for property prediction. The DL exemplary accurately predicted retinal age, arsenic reflected by a beardown correlation of 0.80 (P<0.001) betwixt predicted retinal property and chronological age, arsenic good arsenic an wide mean implicit mistake (MAE) of 3.55 years. Attention maps retrieved from the DL exemplary for property prediction chiefly highlighted areas astir the retinal vessels successful the fundus images.

Retinal property spread definition

The retinal property spread was defined arsenic the quality betwixt the retinal property predicted by the DL exemplary based connected fundus images and the chronological age. A affirmative retinal property spread indicated an ‘older’-appearing retina, portion a antagonistic 1 indicated a ‘younger’-appearing retina.

Stroke ascertainment

Stroke was ascertained by the UK Biobank Outcome Adjudication Group, and was defined by codes 430.X, 431.X, 433.X1, 434.X1, 436.X successful the 9th variation of the International Classification of Diseases (ICD-9) and ICD-10 codes I60, I61, I63, and I64. Stroke events were derived from linked physics wellness records, including infirmary records connected admissions and diagnoses from hospitals successful England, Scotland and Wales, arsenic good arsenic origin of decease obtained from nationalist decease registers. The day of the archetypal known changeable aft baseline appraisal was recorded. The follow-up play for each subordinate was defined from the recruitment day of the UK Biobank survey to 28th February 2018 (the past follow-up date), oregon to the day of the archetypal known stroke, whichever came first.

Covariates

Covariates successful the contiguous analyses included socio-demographic factors (baseline age, sex, ethnicity, Townsend deprivation indices [TDI], acquisition attainment), manner factors (smoking status, drinking status, carnal enactment level), and wide wellness status. Baseline property and enactment were obtained from cardinal registry oregon self-reported questionnaires. Self-reported ethnicity was divided into achromatic oregon non-white. TDI was a proxy measurement of socioeconomic presumption based connected the postcode. Education attainment was classified into college/university grade oregon above, oregon others. Smoking and drinking presumption were categorized arsenic current/previous users, oregon never. Physical enactment level was categorized into reaching moderate/vigorous/walking proposal oregon not. General wellness presumption was classified arsenic excellent/good oregon fair/poor. Body wide scale (BMI) was calculated arsenic the value of an idiosyncratic successful kilograms divided by their tallness successful meters squared. Obesity was defined arsenic a BMI of 30 kg/m2 oregon above. Diabetes mellitus was defined arsenic immoderate grounds of self-reported oregon doctor-diagnosed diabetes mellitus, oregon the usage of anti-hyperglycaemic medications oregon insulin. Hypertension was defined arsenic self-reported, oregon doctor-diagnosed hypertension, oregon the usage of antihypertensive drugs, oregon an mean systolic humor unit ≥ 130 mmHg oregon an mean diastolic humor unit ≥ 80 mmHg.

Statistical analyses

Continuous variables were reported arsenic means and modular deviations (SDs), portion categorical adaptable was reported arsenic numbers and percentages. Unpaired t-tests and Chi-square tests were performed to analyse the differences of the continuous and categorical variables, respectively. The log-rank trial was utilized for comparing the endurance distributions among antithetic retinal property spread groups. Cox proportional hazards regression models were utilized to estimation the effect of retinal property spread connected the hazard of stroke. Each adaptable was assessed for the proportional hazards presumption and each of them met the assumption. Retinal property spread was introduced into the models arsenic a continuous adaptable (per one-year increase) and a categorical adaptable (quintiles), respectively. Model I adjusted for baseline age, sex, and ethnicity. Model II adjusted for each variables successful exemplary I, and besides TDI, acquisition level, smoking status, drinking status, carnal enactment level, diabetes mellitus, hypertension, obesity and wide wellness status. Logistic regression models were utilized to estimation the predictive worth of the well-established accepted hazard factor-based exemplary (including age, gender, smoking status, past of diabetes, systolic humor pressure, and full cholesterin to HDL-cholesterol ratio) [27] and the retinal age-based exemplary successful 10-year changeable risk. Area nether the receiver-operating-characteristic curve (AUC) was utilized to picture the favoritism of the models successful predicting 10-year changeable risk.

Sensitivity investigation was performed to set for the age-squared word successful the last models successful summation to age. We besides investigated whether retinal property acceleration residual (defined arsenic the residuals from regressing predicted retinal property against chronological age) was a biomarker of changeable successful the 2nd sensitivity analysis.

A two-sided p worth of < 0·05 indicated statistical significance. All analyses were performed utilizing R (version 3.3.0, R Foundation for Statistical Computing, www.R-project.org, Vienna, Austria) and Stata (version 13, StataCorp, TX, USA).

Results

Study sample

A full of 35,304 participants without immoderate changeable past astatine baseline were included successful the analyses (mean property 56.7 ± 8.04 years, 55.9% females and 93.2% achromatic ethnicity). Table 1 depicts the baseline characteristics of the participants wide and stratified by retinal property spread quintiles. All features were importantly antithetic crossed quintiles of retinal property gap, but for a past of diabetes mellitus.

Table 1 Baseline characteristics of the survey participants and stratified by quintiles of retinal property gap

Incident stroke

During a median follow-up of 5.83 years (interquartile scope [IQR]: 5.74–5.97), a full of 282 (0.80%) participants had changeable events. Table 2 shows the baseline characteristics of participants with and without incidental changeable events. Participants who experienced a changeable were much apt to beryllium older, of antheral gender, little educated, little physically active, obese, and with a past of diabetes mellitus and hypertension, and with a poorer wide wellness status.

Table 2 Baseline characteristics stratified by incidental stroke

Retinal property spread and stroke

As shown successful Table 3, aft adjusting for age, sex and ethnicity, each one-year summation successful the retinal property spread was independently associated with a 5% summation successful the hazard of changeable (Hazard Ratio [HR] = 1.05, 95% assurance interval [CI]: 1.01–1.08, P = 0.006). This uncovering remained important aft further adjustments for different confounding factors (HR=1.04, 95% CI: 1.00–1.08, P = 0.029).

Table 3 Association betwixt retinal property spread with incidental of stroke

Participants successful antithetic retinal property spread quintiles had antithetic endurance distributions of incidental changeable based connected log-rank trial (P < 0.001). After adjusting for confounding factors, participants whose retinal property gaps were successful the 5th quintile had importantly higher risks of changeable compared to those whose retinal property gaps were successful the archetypal quintile (HR = 2.37, 95% CI: 1.37–4.10, P = 0.002). However, participants with retinal property gaps successful the second, 3rd and 4th quintiles had comparable risks of changeable compared to those with retinal property gaps successful the archetypal quintile. (HR = 1.16, 95% CI: 0.80–1.69, P = 0.433; HR = 1.10, 95% CI: 0.72–1.70, P = 0.660; HR = 1.29, 95% CI: 0.78–2.1, P = 0.323, respectively). A inclination successful the prediction accuracy of changeable crossed antithetic quintiles of retinal property gaps (HR trending = 1.17, 95% CI: 1.03–1.33, P = 0.016) was noted.

Sensitivity analysis

Results comparable to those of the main investigation were noted erstwhile the age-squared word was included successful the last exemplary (Additional record 1: Table S2). We besides recovered that retinal property acceleration residual was importantly associated with incidental changeable (Additional record 1: Table S3).

Predictive worth of retinal property successful stroke

The predictive worth of a well-established hazard factor-based exemplary (including age, gender, smoking status, past of diabetes, systolic humor pressure, and full cholesterin to HDL-cholesterol ratio) and retinal age-based exemplary successful the prediction of 10-year changeable hazard was shown successful Fig. 1. The AUCs of the retinal age-based exemplary was somewhat higher than that of hazard factor-based exemplary (0.676, 95% CI: 0.644–0.708; 0.662, 95% CI: 0.630–0.693), portion the quality did not scope value (p=0.511).

Fig. 1
figure 1

The predictive worth of retinal age-based exemplary and hazard factor-based exemplary successful 10-year changeable risk. The AUC of retinal age-based exemplary was 0.676 (95% CI: 0.644–0.708), which is somewhat higher than the hazard factor-based exemplary (0.662, 95% CI: 0.630–0.693), but nary important quality was recovered (p=0.511)

Discussion

In this ample prospective cohort study, we recovered that retinal property spread was associated with an accrued hazard of incidental changeable autarkic of classical changeable hazard factors. Each 1-year summation successful retinal property spread contributed to a 4% summation successful the hazard of stroke. Compared to participants with retinal property gaps successful the lowest quintile, those with retinal property gaps successful the highest quintile had a 2.37-fold summation successful the hazard of incidental stroke. Further, retinal property demonstrated a predictive worth compared to well-established hazard factor-based model, indicating that accelerated biologic ageing manifested arsenic accrued retinal property gaps could beryllium a predictor for the improvement of stroke.

Our survey linked the retinal property gap, arsenic a holistic measurement of age-related neuronal and vascular changes, with the hazard of changeable and demonstrated the predictive worth of retinal property successful aboriginal hazard of stroke. This is the archetypal survey to beryllium the conception of the relation betwixt the retinal property spread and hazard of stroke, the observed relation betwixt ageing features oregon pathological changes observed successful the retina and the hazard of changeable is supported by erstwhile studies [19, 28,29,30]. It was recovered successful cross-sectional studies that patients with changeable person decreased cardinal retinal artery equivalent (CRAE) and arteriolar-to-venule ratio (AVR) and are much apt to person focal arterial narrowing, arteriovenous nicking (AV nicking) and retinopathies [31,32,33,34]. As well, successful cohort studies, aggregate retinal vas measurements specified arsenic tortuosity and fractal dimension, hypertensive oregon diabetic retinopathies, and retinal vas occlusion were recovered to beryllium importantly associated with aboriginal changeable hazard [17,18,19,20,21].

In addition, our findings that the predictive worth of retina property unsocial is comparable to the well-established objective hazard factor-based exemplary suggested the retinal property tin supply clues informative of end-organ harm successful the eye. There are erstwhile studies investigating the predictive values of retinal measurements oregon features which are supportive to our findings. Mitchell et al. recovered retinal microvascular signs (e.g. retinopathy, AV nicking and focal arteriolar narrowing) could foretell incidental changeable events autarkic of different hazard factors of changeable [29]. Cheung et al. recovered that the accuracy of changeable prediction was improved by incorporating retinal microvascular signs, including retinopathy and widening of venous calibre, into the accepted hazard factors [35]. Compared to erstwhile studies which relied connected grading oregon extraction of circumstantial retinal features oregon pathologies, oregon definitions of retinal diseases, our conception of retinal property provides a antithetic space to analyse the relation betwixt the retina and stroke. The contiguous DL exemplary could larn the due predictive features based connected a ample illustration of fundus images automatically and integrate each of the features from 1 representation to make an instant estimation of the biologic property to foretell stroke, which holds the vantage of little bias, the quality to seizure the implicit retinal features and comprehensively picture the ageing characteristics that tin beryllium reflected done the retina.

Our findings besides adhd caller grounds to the constricted assemblage of cognition astir biologic property and stroke. Brain age, a measurement of biologic age, was reported to person an relation with changeable [14, 36]. Biological age, estimated by DNA methylation, has besides been associated with the hazard of changeable and prognosis [12, 15, 37, 38]. The encephalon property was little close compared to the retinal age, erstwhile comparing the prediction accuracies successful biologic property [10, 26]. Notably, astir studies astir the encephalon property and changeable were cross-sectional studies, frankincense the accuracy of the encephalon property successful predicting changeable was not clear. Although DNA methylation has been reported to independently foretell the hazard of changeable [38, 39], retinal property has the vantage of being non-invasive and cost-effective.

Several mechanisms whitethorn explicate our findings. Firstly, the retina could enactment arsenic a “window” to the body. The retinal and cerebral circulation acquisition akin changes successful morphology, humor travel and metabolic request during the ageing process [22]. This mightiness beryllium explained by the communal mechanisms underlying vascular ageing, specified arsenic endothelial dysfunction, oxidative accent and inflammation [40, 41]. Secondly, well-established hazard factors of changeable could manifest themselves arsenic retinal features connected fundus images. For example, hypertension, arsenic a hazard origin of stroke, could origin retinal arteriolar changes successful an aboriginal stage, including arteriolar narrowing and AV nicking, which were reported to beryllium associated with changeable events [29]. Thirdly, increasing grounds has showed that retinal diseases person the imaginable to foretell changeable specified arsenic diabetic retinopathy and retinal artery and venous occlusion [20, 42, 43]. This is accordant with our findings that the attraction maps of the DL models focused connected the areas surrounding the retinal vessels, highlighting the important relation of pathophysiological changes successful retinal vasculature successful predicting incidental changeable [26].

Future directions and outlook

Future studies are inactive needed to amended the DL algorithm and analyse into its real-world exertion and extrapolate its objective value. First of all, outer validations utilizing different datasets comprising populations of antithetic demographic features, specified arsenic older property and antithetic ethnicities, and adjacent utilizing antithetic retinal imaging modalities arsenic input, specified arsenic optic coherence tomography data, are needed to amended the generalizability of the exemplary and refine the algorithm for much large-scale application. In addition, fixed the heterogeneity of changeable types and pathogenesis specified arsenic ischaemic changeable and hemorrhagic stroke, subgroup analyses for changeable subtypes are needed to further streamline the usage of retinal property spread successful the prediction of changeable and supply clues to disentangle antithetic mechanisms of changeable prediction utilizing retinal images by the DL algorithm.

Our findings person the imaginable to supply respective important nationalist wellness and objective implications aft aboriginal refinement and objective proof-of-concept studies. Retinal property spread has large imaginable to beryllium utilized arsenic a caller screening instrumentality for individuals astatine precocious risks of stroke. Compared with those well-established prediction tools based connected classical hazard factors, specified arsenic the Framingham Stroke Risk Score [44], the retinal property spread appraisal is characterized by convenient, non-invasive and cost-effective features, showing an tremendous imaginable for further applications. For example, this DL algorithm whitethorn beryllium incorporated into mobile devices, making the appraisal of the retinal property spread and hazard of changeable much easy accessible. This could facilitate the aboriginal referral of patients astatine precocious risks of changeable for preventative and therapeutic interventions to trim the load of changeable for individuals and nine arsenic a whole.

Despite the strengths of the contiguous survey including the ample illustration size, the agelong follow-up duration, broad adjustments for confounding factors and modular acquisition of fundus images, respective limitations should beryllium considered. First, nary outer validation was performed for the retinal property prediction model, fixed that we person presently nary entree to outer datasets with semipermanent follow-up and capable changeable events. Secondly, the UK Biobank cohort is comprised of comparatively young participants (within the property scope of 40–69 years). Moreover, the prime cheque tends to exclude the images of participants with older age. Considering the precocious hazard of changeable successful the much aged population, our findings whitethorn beryllium taxable to generalizability. Further studies are needed to analyse the relation betwixt the retinal property spread and incidental changeable successful the aged population. Nevertheless, the constricted generalizability would not impact the relation betwixt the retinal property spread and changeable [45]. Thirdly, owed to the debased incidence complaint of changeable and the deficiency of information connected the causes of stroke, further subgroup analyses could not beryllium conducted. Fourthly, owed to the observational plan of the study, we could not infer the causal effect of the ageing features of the retina connected incidental stroke. Lastly, we could not wholly exclude the anticipation of residual confounding.

Conclusions

We recovered that retinal property gap, estimated based connected retinal images, was associated with incidental stroke. As a caller biomarker for changeable risk, the retinal property spread has large imaginable successful enabling much accurate, accessible, efficient, cost-effective and non-invasive changeable screening. Further studies are warranted to corroborate our findings successful antithetic populations and to research the effect of the dynamic changes of retinal property spread successful predicting risks of stroke.

Availability of information and materials

The dataset analysed during the contiguous survey is disposable successful the UK Biobank (https://www.ukbiobank.ac.uk/). These information are disposable from the corresponding writer connected tenable petition and with support of UK Biobank.

Abbreviations

HR:

Hazard ratio

CI:

Confidence interval

AUC:

Receiver-operating-characteristic curve

CNS:

Central tense system

DL:

Deep learning

NHS:

National Health Service

OCT:

Optical coherence tomography

MAE:

Mean implicit error

ICD:

International Classification of Diseases

HDL:

High-density lipoproteins

TDI:

Townsend deprivation indices

BMI:

Body wide index

SD:

Standard deviation

IQR:

Interquartile range

CRAE:

Central retinal artery equivalent

AVR:

Arteriolar-to-venule ratio

AV nicking:

Arteriovenous nicking

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Acknowledgements

Not applicable.

Funding

The funders of the survey had nary relation successful survey design, information collection, information analysis, information interpretation, oregon penning of the report. This contiguous enactment was supported by the NHMRC Investigator Grant (APP1175405), Fundamental Research Funds of the State Key Laboratory of Ophthalmology, National Natural Science Foundation of China (82000901), Project of Investigation connected Health Status of Employees successful Financial Industry successful Guangzhou, China (Z012014075), Science and Technology Program of Guangzhou, China (202002020049). Professor Mingguang He was supported by the ‘High-level Talent Flexible Introduction Fund of Guangdong Provincial People’s Hospital (No. KJ012019530). Professor Mingguang He receives enactment from the University of Melbourne done its Research Accelerator Program and the CERA Foundation. The Centre for Eye Research Australia (CERA) receives Operational Infrastructure Support from the Victorian State Government.

Author information

Author notes

  1. Zhuoting Zhu, Wenyi Hu and Ruiye Chen contributed arsenic to this work.

Authors and Affiliations

  1. Department of Ophthalmology, Guangdong Academy of Medical Sciences, Guangdong Provincial People’s Hospital, Guangzhou, China

    Zhuoting Zhu, Wenyi Hu, Ruiye Chen, Xianwen Shang, Yifan Chen, Yu Huang, Xueli Zhang, Shulin Tang, Jieshan Zeng, Honghua Yu, Xiaohong Yang & Mingguang He

  2. Centre for Eye Research Australia, Ophthalmology, University of Melbourne, Melbourne, Australia

    Zhuoting Zhu, Wenyi Hu, Ruiye Chen, Xianwen Shang, Katerina Kiburg & Mingguang He

  3. Ophthalmology, Department of Surgery, University of Melbourne, Melbourne, Australia

    Zhuoting Zhu, Wenyi Hu, Ruiye Chen, Xianwen Shang & Mingguang He

  4. State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China

    Ruilin Xiong, Wei Wang, Danli Shi, Shuang He & Mingguang He

  5. John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK

    Yifan Chen

Contributions

Study conception and design: YFC, WW, ZTZ, MGH, XHY. Acquisition, analysis, oregon interpretation: RYC, WYH, DLS, SH, YH, XLZ, SLT, JSZ, HHY, ZTZ, WW, MGH, XHY. Drafting of the manuscript: RYC, WYH, RLX. Critical revision of the manuscript for important intelligence content: WW, YFC, KK, ZTZ, MGH, XHY, DLS, SH, YH, XLZ, SLT, JSZ, HHY. Statistical analysis: XWS, ZTZ. Obtained funding: MGH, XHY. Administrative, technical, oregon worldly support: ZTZ, WW, MGH, XHY. Study supervision: MGH, XHY. All authors work and approved the last manuscript.

Corresponding authors

Correspondence to Xiaohong Yang oregon Mingguang He.

Ethics declarations

Ethics support and consent to participate

All participants provided informed consent successful the UK Biobank study. The UK Biobank survey was reviewed and approved by the National Information Governance Board for Health and Social Care and the NHS North West Multicenter Research Ethics Committee (11/NW/0382) and the Biobank consortium (application no. 62489). Since we utilized de-identified information successful a nationalist dataset, the Medical Research Ethics Committee of Guangdong Provincial People's Hospital waived the requirements to get the ethical approval. The survey was performed successful accordance with the Declaration of Helsinki.

Consent for publication

Not applicable.

Competing interests

The authors state that they person nary competing interests.

Additional information

Publisher’s Note

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Supplementary Information

Additional record 1: Table S1.

Baseline Characteristics Stratified by Participants with no/one/two bully images that passed prime check. Table S2. Association Between Retinal Age Gap with Incident of Stroke additionally adjusted for property squared. Table S3. Association Between Retinal Age Acceleration Residual with Incident of Stroke.

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Cite this article

Zhu, Z., Hu, W., Chen, R. et al. Retinal property spread arsenic a predictive biomarker of changeable risk. BMC Med 20, 466 (2022). https://doi.org/10.1186/s12916-022-02620-w

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  • Received: 27 May 2022

  • Accepted: 20 October 2022

  • Published: 30 November 2022

  • DOI: https://doi.org/10.1186/s12916-022-02620-w

Keywords

  • Retinal age
  • Stroke
  • Prediction
  • Biomarker
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