Summary

Top 10 papers analyzed

Treatment thresholds for cardiovascular disease risk should be determined based on a person's age and calculated risk score. For Aboriginal and Torres Strait Islander peoples, screening should start at a younger age, around 18-34 years, as evidence shows cardiovascular disease starts earlier in this population and risk scores likely underestimate risk in this group. However, there is limited evidence on the extent of underestimation and alternative risk scores for this population. Risk scores should not be adjusted upward by a fixed 5% for all Aboriginal and Torres Strait Islander peoples. Instead, treatment thresholds should depend on a person's initial calculated risk score. For those at higher risk, more frequent monitoring and reassessment of risk, for example 6-12 monthly, is suggested based on guidelines, although optimal reassessment intervals are unclear. For lower risk individuals, reassessment every 2-5 years may be sufficient. Blood pressure targets of <140/90mmHg are recommended for most patients according to guidelines. However, for some high-risk groups, lower targets of <130/80mmHg are suggested to help reduce cardiovascular disease risk. Treatment should aim for the lowest possible blood pressure targets for each individual based on their risk profile and tolerance of medications. A risk-based approach to updating clinical guidelines is recommended. For recommendations where evidence is lacking or limited, exhaustive evidence reviews are not required. However, stakeholder input is important for reducing subjectivity. Re-evaluation of guidelines every 2-3 years is suggested for most recommendations, with some topics requiring more frequent monitoring and updating as new evidence emerges. An online 'living guidelines' model with continuous updating may be useful, especially if linked to decision support tools. However, this requires significant resources and commitment to evaluating new evidence and updating recommendations. In summary, treatment thresholds and targets for cardiovascular disease risk management should be determined based on a person's age, risk score, blood pressure, and other risk factors. A risk-based approach to clinical guidelines and recommendations allows for tailored management based on individual risk profiles. For high-risk groups, earlier and more intensive management is required to help reduce cardiovascular disease risk.

Cardiovascular diseases are the leading cause of death worldwide. Machine learning can be used to create a non-invasive, low-cost system to accurately predict the risk of developing CVDs.

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Y An, N Huang, X Chen, FX Wu… - … biology and …, 2019 - ieeexplore.ieee.org

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Different CVD risk models, including Framingham risk models and CAIDE, were used to predict dementia or cognitive decline. These models had 5 to 15 factors and were studied in 12 research studies.

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R Jia, Q Wang, H Huang, Y Yang… - Frontiers in Aging …, 2023 - ncbi.nlm.nih.gov

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CB Newman, JA Tobert - The Journal of Clinical Endocrinology …, 2023 - academic.oup.com

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Cardiovascular diseases are a global health issue and the leading cause of death and hospitalization in Spain. Guidelines recommend using risk functions to assess a patient's cardiovascular risk for effective prevention.

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C Fernández-Labandera… - European journal of …, 2021 - academic.oup.com

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The text discusses reports about guidelines for cardiovascular disease risk in Aboriginal people. Guidelines differ on screening age, risk score adjustment, reassessment frequency and blood pressure targets. Evidence shows Aboriginal people have equivalent risk at younger ages. Scores likely underestimate their risk but data lacks. No evidence supports 5% adjustment. Risk reassessment depends on risk level but best intervals unclear. Blood pressure targets aim to reduce CVD; some recommend under 140/90mmHg, others 130/80mmHg.

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E Paige, J Agostino, C Phillips, V Wade… - 2017 - openresearch-repository.anu.edu.au

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Cardiac disease is a major cause of death in the Western world, and current drug therapy is based on animal models. Genetically modified animal models have been helpful, but there is still a need to improve models to better understand human cardiac conditions.

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H Rokutan, SD Anker, J Springer - Expert Opinion on Drug …, 2010 - Taylor & Francis

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A one-year follow-up study was conducted on hypertensive patients to enhance their clinical care. Published predictive models for cardiovascular risk in these patients were considered.

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AM Martínez-Díaz, A Palazón-Bru… - European Journal of …, 2019 - academic.oup.com

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Our approach investigates the role of risk factors in both risk and atherosclerotic lesion formation. A process-oriented model is used in the study.

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C Simonetto, M Heier, A Peters… - American Journal of …, 2022 - academic.oup.com

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Peripheral revascularization with vorapaxar in patients with peripheral artery disease is studied in the TRA2°P-TIMI 50 trial, while the effects of vorapaxar on acute limb ischemia in patients with peripheral artery disease are assessed in the Trial to Assess the Effects of Vorapaxar in Preventing Heart Attack and Stroke in Patients With Atherosclerosis-Thrombolysis in Myocardial Infarction 50.

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S Kinlay, P Sobieszczyk, AC Eisenhauer… - Vascular …, 2023 - journals.sagepub.com

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Exercise requirements for cardioprotection are conflicting, with different opinions on intensity and duration. The American College of Sports Medicine recommends at least 30 minutes of moderate-intensity exercise, such as brisk walking, most days of the week. Exercise may serve as a surrogate for ischemic preconditioning, providing protection against subsequent ischemia.

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MA Chowdhury, HK Sholl, MS Sharrett… - … pharmacology and …, 2019 - journals.sagepub.com

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