Synergistic Research Between the Center of Arrhythmia Research and the Michigan Biology of Cardiovascular Aging at the University of Michigan

Goldstein, Daniel R.; Jalife, José

doi:10.1161/circresaha.117.311374

Cited by 3 publications

(3 citation statements)

References 15 publications

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“…Although the mechanisms underlying inflammation are not clear, there is evidence that inflammatory cytokines can lead to calcium channel dysfunction, action potential prolongation, and initiation of triggered activity predisposing to cardiac arrhythmias (12). Inflammatory processes in cardiac myocytes and the interstitium can lead to fluctuations in membrane potential.…”

Section: Pathophysiology Of Arrhythmias In the Elderlymentioning

confidence: 99%

Arrhythmias in Patients ≥80 Years of Age

Curtis

Karki

Hattoum

et al. 2018

Journal of the American College of Cardiology

113

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Advances in medical care have led to an increase in the number of octogenarians and even older patients, forming an important and unique patient subgroup. It is clear that advancing age is an independent risk factor for the development of most arrhythmias, causing substantial morbidity and mortality. Patients ≥80 years of age have significant structural and electrical remodeling of cardiac tissue; accrue competing comorbidities; react differently to drug therapy; and may experience falls, frailty, and cognitive impairment, presenting significant therapeutic challenges. Unfortunately, very old patients are under-represented in clinical trials, leading to critical gaps in evidence to guide effective and safe treatment of arrhythmias. In this state-of-the-art review, we examine the pathophysiology of aging and arrhythmias and then present the available evidence on age-specific management of the most common arrhythmias, including drugs, catheter ablation, and cardiac implantable electronic devices.

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Section: Pathophysiology Of Arrhythmias In the Elderlymentioning

confidence: 99%

Arrhythmias in Patients ≥80 Years of Age

Curtis

Karki

Hattoum

et al. 2018

Journal of the American College of Cardiology

113

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“…Patients with CHD are prone to arrhythmia [21]; once arrhythmias are present in patients with CHD, they experience a worse prognosis [2]. Therefore, it is of great clinical signi cance to understand the relation between sensitivity to thyroid hormone and arrhythmia in patients with CHD.…”

Section: Discussionmentioning

confidence: 99%

Association between sensitivity to thyroid hormones and risk of arrhythmia in patients with coronary heart disease: a RCSCD-TCM study in China

Liu

et al. 2022

Endocrine

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BackgroundThyroid dysfunction is closely related to arrhythmia. However, the relationship between sensitivity to thyroid hormone and risk of arrhythmia remains unknown. This study aimed to investigate the association between the thyroid system complex index and risk of arrhythmia in patients with coronary heart disease (CHD). MethodsThis large, multi-center study included 28,413 patients with CHD. Central sensitivity to thyroid hormone was assessed by calculating the thyroid feedback quantile-based index (TFQI). Logistic regression was used to analyze the relationship between sensitivity to thyroid hormone and risk of arrhythmia. This study also assessed the relationship between sensitivity to thyroid hormone and risk of arrhythmia in different sexes, ages, and glucose regulation and blood lipid states. ResultsOf the 28,413 participants, 8,935 (31.4%) patients with CHD had arrhythmia. There was a remarkable association between TFQI and risk of arrhythmia (odds ratio [OR]: 0.783; 95% con dence interval [CI], 0.735-0.836). Furthermore, the association between the TFQI and risk of arrhythmia in women (OR: 0.731; 95% CI: 0.667-0.802) was stronger than that in men (OR: 0.894; 95% CI: 0.816-0.910), as well as higher in elder (OR: 0.779; 95% CI: 0.721-0.843) than middle-aged (OR: 0.789; 95% CI: 0.703-0.886) patients. Furthermore, the association was stronge in the state of diabetes (OR: 0.635; 95% 0.569-0.709) and dyslipidemia (OR: 0.706; 95% CI: 0.644-0.774). ConclusionThere is a remarkable association between sensitivity to thyroid hormone and risk of arrhythmia in patients with CHD, which is more pronounced among women and the elderly. The association is also stronger in patients with dyslipidemia or diabetes. Methods Study populationThis study was approved by the ethics committee of the Tianjin University of Traditional Chinese Medicine (TJUTCM-EC20190008), and the requirement for informed consent was waived. This study was registered with the Chinese Clinical Trial Registry (ChiCTR-1900024535) and ClinicalTrials.gov (NCT04026724). This large-scale and multi-center retrospective study included 107,301 patients with CHD who were hospitalized in the First

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“…Patients may not fully understand how their data is used for research or shared among institutions. Addressing these ethical concerns involves establishing transparent consent processes and defining clear guidelines on data ownership and sharing (Ozair et al, 2015;Goldstein & Navar, 2017). Big data analytics and machine learning algorithms may inherit biases present in historical data.…”

Section: Challenges and Ethical Considerationsmentioning

confidence: 99%

The role of big data in healthcare: A review of implications for patient outcomes and treatment personalization

Ehizogie Paul Adeghe,

Chioma Anthonia Okolo,

Olumuyiwa Tolulope Ojeyinka

2024

World J. Bio. Pharm. Health Sci.

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The integration of big data analytics in healthcare has ushered in a transformative era, redefining the landscape of patient care and treatment strategies. This review examines the multifaceted implications of big data on patient outcomes and the individualization of medical interventions. Delving into the foundational elements of big data, we explore its evolution in the healthcare sector and highlight pivotal applications, such as predictive analytics, treatment personalization, and population health management. The paper underscores how big data-driven insights have revolutionized diagnosis and early detection, leading to more accurate and timely interventions. Treatment planning has witnessed a paradigm shift, with the tailoring of therapeutic approaches based on robust data analyses, fostering the realization of personalized medicine. Moreover, the role of big data in enhancing patient engagement and empowerment is explored, illuminating the potential for collaborative and informed decision-making. Despite these advancements, ethical considerations and challenges loom large. Privacy concerns, data security, and the ethical use of patient information demand meticulous attention to ensure the responsible application of big data in healthcare. The paper discusses the evolving regulatory frameworks and strategies to address these pressing issues. Looking ahead, the review outlines emerging trends and technologies poised to shape the future of big data in healthcare. It identifies research opportunities and encourages interdisciplinary collaborations to further propel innovation in this dynamic field. By addressing challenges and envisioning future possibilities, it seeks to contribute to the ongoing dialogue surrounding the responsible and impactful integration of big data in shaping the future of healthcare.

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Synergistic Research Between the Center of Arrhythmia Research and the Michigan Biology of Cardiovascular Aging at the University of Michigan

Cited by 3 publications

References 15 publications

Arrhythmias in Patients ≥80 Years of Age

Arrhythmias in Patients ≥80 Years of Age

Association between sensitivity to thyroid hormones and risk of arrhythmia in patients with coronary heart disease: a RCSCD-TCM study in China

The role of big data in healthcare: A review of implications for patient outcomes and treatment personalization

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