Gout and Cardiovascular Disease: Mechanisms, Risk Estimations, and the Impact of Therapies
Abstract
:1. Introduction
2. Are There Differences According to Sex or Ancestry?
3. How MSU Crystals May Foster Cardiovascular Risk?
4. How Can We Gauge Cardiovascular Risk in Patients with Gout?
5. Can Gout Management Ameliorate Cardiovascular Risk?
6. Do the Cardiovascular Profiles of Xanthine Oxidase Inhibitors Differ?
7. What Is My Cardiovascular Approach in Clinical Practice?
8. Pending Questions and Conclusions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Paper | Population | Type of Cardiovascular Disease | Gout Population, Compared to Controls a |
---|---|---|---|
Choi, 2007 [29] | Health Professionals Follow-up Cohort | Cardiovascular mortality | RR 1.35 (1.19–1.55) |
Kuo, 2010 [30] | Chang Gung Memorial Hospital, Taiwan | Cardiovascular mortality | HR 1.97 (1.08–3.59) |
Kuo, 2011 [31] | National Death Registry of Taiwan | Cardiovascular mortality | SMR 1.58 (1.39–1.78) in men |
SMR 1.81 (1.46–2.23) in women | |||
Stack, 2013 [32] | NHANES-III | Cardiovascular mortality | HR 1.46 (1.07–2.00) |
Dehlin, 2022 [15] | Western Sweden | Cardiovascular mortality | HR 1.17 (1.12–1.23) |
Abbott, 1988 [33] | Framingham Study | Coronary heart disease | RR 1.6 (1.1–2.5) |
Krishnan, 2006 [34] | Multiple Risk Factor Intervention Trial | Coronary heart disease | OR 1.26 (1.14–1.40) |
Seminog, 2013 [35] | UK National Linked Dataset of Admissions and Deaths | Coronary heart disease | RR 1.82 (1.78–1.85) in England data |
Clarson, 2015 [36] | UK Clinical Practice Research Datalink | Coronary heart disease | HR 1.08 (1.01–1.15) in men |
HR 1.25 (1.12–1.39) in women | |||
Huang, 2021 [38] | Taiwan National Health Insurance database | Coronary heart disease | HR 1.36 (1.04–2.76) |
Singh, 2018 [37] | US Medicare dataset | Coronary heart disease (older adults) | HR 1.79 (1.68–1.90) |
De Vera, 2010 [39] | Former Medical Students Cohort | Coronary heart disease (women) | RR 1.39 (1.20–1.61) in females |
RR 1.11 (0.99–1.23) in males | |||
Kuo, 2013 [40] | Taiwan National Health Insurance Database | Coronary heart disease (Young patients with no CVDRF) | HR 1.59 (1.12–2.24) in age 20–44 |
HR 1.24 (1.08–1.41) in age 45–69 | |||
HR 1.11 (0.94–1.32) in age ≥ 70 | |||
Seminog, 2013 [35] | UK National Linked Dataset Admissions and Deaths | Stroke | RR 1.71 (1.68–1.75) in England data |
Haddadin, 2021 [41] | US National Inpatient Sample | Stroke | OR 1.10 (1.01–1.11) in an AF population |
Clarson, 2015 [36] | UK Clinical Practice Research Datalink | Peripheral artery disease | HR 1.18 (1.01–1.38) in menHR 1.89 (1.50–2.38) in women |
Schlesinger, 2015 [42] | Rutgers-Robert Wood Johnson Rheumatology Department | Erectile dysfunction | OR 2.94 (1.41–6.06) |
Chen, 2015 [43] | Taiwan National Health Insurance Database | Erectile dysfunction | HR 1.40 (1.11–1.77) in those without comorbidities |
HR 2.04 (1.63–2.57) in those with comorbidities | |||
Abdul Sultan, 2017 [44] | UK Clinical Practice Research Datalink | Erectile dysfunction | HR 1.31 (1.24–1.40) |
Area | Issues and Necessities |
---|---|
Pathogenesis | To prove MSU crystal deposition occurs at the atheroma plaque, with deleterious effects. |
To define the mechanisms linking crystal-driven inflammation and the aggravation of atherosclerosis. | |
To determine when high cardiovascular risk begins—with the first flare or with the first deposited crystal (asymptomatic). | |
To discriminate whether a gender impact of gout exists in terms of the cardiovascular profile. | |
To foster knowledge of the cardiovascular impact of gout on non-White populations. | |
Assessment | To develop accurate risk prediction tools for gout—likely including disease-specific characteristics such as serum urate or subcutaneous tophi. |
To perform studies on the cost-effectiveness of introducing carotid ultrasound for reclassifying cardiovascular risk in gout patients. | |
To introduce other forms of subclinical atherosclerosis screening, such as coronary calcium scores or computed tomography angiography. | |
To describe the evolution of subclinical atherosclerosis under urate-lowering therapies. | |
Management | To evaluate the cardiovascular outcomes of treat-to-target approaches in patients with gout. |
To delineate the benefits of primary and secondary cardiovascular prevention in patients with gout. | |
To study the cardiovascular profile of xanthine oxidase inhibitors compared to other agents such as uricosurics or uricases. | |
To determine the cardiovascular benefits of colchicine in gout patients and the optimal length of therapy. | |
To assess the cardiovascular benefits of SGLT2i for patients with gout—even in the absence of diabetes or heart failure. |
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Andrés, M. Gout and Cardiovascular Disease: Mechanisms, Risk Estimations, and the Impact of Therapies. Gout Urate Cryst. Depos. Dis. 2023, 1, 152-166. https://doi.org/10.3390/gucdd1030014
Andrés M. Gout and Cardiovascular Disease: Mechanisms, Risk Estimations, and the Impact of Therapies. Gout, Urate, and Crystal Deposition Disease. 2023; 1(3):152-166. https://doi.org/10.3390/gucdd1030014
Chicago/Turabian StyleAndrés, Mariano. 2023. "Gout and Cardiovascular Disease: Mechanisms, Risk Estimations, and the Impact of Therapies" Gout, Urate, and Crystal Deposition Disease 1, no. 3: 152-166. https://doi.org/10.3390/gucdd1030014
APA StyleAndrés, M. (2023). Gout and Cardiovascular Disease: Mechanisms, Risk Estimations, and the Impact of Therapies. Gout, Urate, and Crystal Deposition Disease, 1(3), 152-166. https://doi.org/10.3390/gucdd1030014