European Heart Systemic Coronary Risk Evaluation may underestimate cardiovascular risk after assessing cardiovascular disease with carotid ultrasound in hidradenitis suppurativa

González, Iris; Pascual, José C.; Corona, D.; Hispán, Patricia; Betlloch, Isabel

doi:10.1111/bjd.15776

Cited by 5 publications

(3 citation statements)

References 7 publications

(5 reference statements)

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“…4-7 Nevertheless, these risk prediction models are limited by lack of precision, information bias for questionnaire-based models, and the involvement of invasive procedures. 6, 8-10…”

Section: Introductionmentioning

confidence: 99%

Association of Retinal Age Gap with Arterial Stiffness and Incident Cardiovascular Disease

Zhu

Chen

Wang

et al. 2022

Preprint

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Background: Retinal parameters could reflect systemic vascular changes. With the advances of deep learning technology, we have recently developed an algorithm to predict retinal age based on fundus images, which could be a novel biomarker for ageing and mortality. Objective: To investigate associations of retinal age gap with arterial stiffness index (ASI) and incident cardiovascular disease (CVD). Methods: A deep learning (DL) model was trained based on 19,200 fundus images of 11,052 participants without any past medical history at baseline to predict the retinal age. Retinal age gap (retinal age predicted minus chronological age) was generated for the remaining 35,917 participants. Regression models were used to assess the association between retinal age gap and ASI. Cox proportional hazards regression models and restricted cubic splines were used to explore the association between retinal age gap and incident CVD. Results: We found each one-year increase in retinal age gap was associated with increased ASI (β=0.002, 95% confidence interval [CI]: 0.001-0.003, P<0.001). After a median follow-up of 5.83 years (interquartile range [IQR]: 5.73-5.97), 675 (2.00%) developed CVD. In the fully adjusted model, each one-year increase in retinal age gap was associated with a 3% increase in the risk of incident CVD (hazard ratio [HR]=1.03, 95% CI: 1.01-1.06, P=0.012). In the restricted cubic splines analysis, the risk of incident CVD increased significantly when retinal age gap reached 1.21 (HR=1.05; 95% CI, 1.00-1.10; P-overall <0.0001; P-nonlinear=0.0681). Conclusion: We found that retinal age gap was significantly associated with ASI and incident CVD events, supporting the potential of this novel biomarker in identifying individuals at high risk of future CVD events.

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“…4-7 Nevertheless, these risk prediction models are limited by lack of precision, information bias for questionnaire-based models, and the involvement of invasive procedures. 6, 8-10…”

Section: Introductionmentioning

confidence: 99%

Association of Retinal Age Gap with Arterial Stiffness and Incident Cardiovascular Disease

Zhu

Chen

Wang

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…questionnaire-based models, and the involvement of invasive procedures. 6,[8][9][10] The retina is highly vascular and easily accessible by noninvasive imaging and assessments and can serve as a surrogate measure of the health of the systemic vasculature. Collective evidence has demonstrated that fundus images contain valuable information on cardiovascular health.…”

mentioning

confidence: 99%

“…4–7 Nevertheless, these risk prediction models are limited by lack of precision, information bias for questionnaire-based models, and the involvement of invasive procedures. 6,8–10…”

mentioning

confidence: 99%

Association of Retinal Age Gap With Arterial Stiffness and Incident Cardiovascular Disease

Zhu

Chen

Wang

et al. 2022

Stroke

View full text Add to dashboard Cite

BACKGROUND: Retinal parameters could reflect systemic vascular changes. With the advances of deep learning technology, we have recently developed an algorithm to predict retinal age based on fundus images, which could be a novel biomarker for aging and mortality. Therefore, we aim to investigate associations of retinal age gap with arterial stiffness index and incident cardiovascular disease (CVD). METHODS: A deep learning model was trained based on 19 200 fundus images of 11 052 participants without any medical history at baseline to predict the retinal age. Retinal age gap (retinal age predicted minus chronological age) was generated for the remaining 35 917 participants. Regression models were used to assess the association between retinal age gap and arterial stiffness index. Cox proportional hazards regression models and restricted cubic splines were used to explore the association between retinal age gap and incident CVD. RESULTS: We found each 1-year increase in retinal age gap was associated with increased arterial stiffness index (β=0.002 [95% CI, 0.001–0.003]; P <0.001). After a median follow-up of 5.83 years (interquartile range: 5.73–5.97), 675 (2.00%) developed CVD. In the fully adjusted model, each 1-year increase in retinal age gap was associated with a 3% increase in the risk of incident CVD (hazard ratio=1.03 [95% CI, 1.01–1.06]; P =0.014). In the restricted cubic splines analysis, the risk of incident CVD increased significantly when retinal age gap reached 1.21 (hazard ratio=1.05 [95% CI, 1.00–1.10]; P -overall <0.0001; P -nonlinear=0.0681). CONCLUSIONS: We found that retinal age gap was significantly associated with arterial stiffness index and incident CVD events, supporting the potential of this novel biomarker in identifying individuals at high risk of future CVD events.

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Imaging Techniques in Hidradenitis Suppurativa and Comorbidities

Wortsman¹,

Kohli²

2022

A Comprehensive Guide to Hidradenitis Suppurativa

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European Heart Systemic Coronary Risk Evaluation may underestimate cardiovascular risk after assessing cardiovascular disease with carotid ultrasound in hidradenitis suppurativa

Cited by 5 publications

References 7 publications

Association of Retinal Age Gap with Arterial Stiffness and Incident Cardiovascular Disease

Association of Retinal Age Gap with Arterial Stiffness and Incident Cardiovascular Disease

Association of Retinal Age Gap With Arterial Stiffness and Incident Cardiovascular Disease

Imaging Techniques in Hidradenitis Suppurativa and Comorbidities

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