Peter Chew LDL Rebound Formula: A Groundbreaking Approach to Reducing Stroke Recurrence, Mitigating Cancer Risk, and Saving High Global Healthcare Costs

Peter Chew LDL Rebound Formula: A Groundbreaking Approach to Reducing Stroke Recurrence, Mitigating Cancer Risk, and Saving High Global Healthcare Costs | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 20 June 2025 V1 Latest version Share on Peter Chew LDL Rebound Formula: A Groundbreaking Approach to Reducing Stroke Recurrence, Mitigating Cancer Risk, and Saving High Global Healthcare Costs Authors : Prof. Dr. Peter Chew 0000-0002-5935-3041 [email protected] and Peter Chew Authors Info & Affiliations https://doi.org/10.22541/au.175044409.93440217/v1 302 views 102 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Stroke recurrence and cancer continue to pose significant challenges to global healthcare systems, contributing to high rates of morbidity, mortality, and financial burden. The emergence of COVID-19 has further complicated stroke prevention efforts, with studies highlighting an elevated risk of stroke following infection, attributed to increased inflammation and coagulation abnormalities. These insights reinforce the necessity for advanced, evidencebased strategies to enhance stroke prevention and management, ensuring better patient outcomes and healthcare resilience. Effective management of blood pressure and lipid levels, particularly the reduction of low-density lipoprotein cholesterol (LDL-C), is widely recognized as a cornerstone of stroke prevention. While lifestyle interventions, including dietary modifications and weight management, are frequently recommended to lower both blood pressure and LDL-C, these approaches require time and may present challenges, such as the rebound effect of LDL-C following statin discontinuation. A crucial question remains: at what LDL-C level can statin therapy be safely discontinued while maintaining a post-discontinuation LDL-C level of approximately 1.8 mmol/L (70 mg/dL)? Current guidelines suggest that targeting an LDL-C level of approximately 1.8 mmol/L is optimal for individuals with heart disease or those at high risk, as this threshold is associated with a lower likelihood of stroke recurrence. Identifying strategies to maintain this level post-statin therapy is essential for long-term cardiovascular and cerebrovascular health. While statins remain highly effective in managing LDL-C levels, prolonged use has raised concerns about potential associations with an increased risk of cancer. To address these challenges, this study introduces the Peter Chew LDL Rebound Formula, a novel, personalized approach to optimizing LDL-C regulation post-statin therapy. The formula integrates predictive modeling to tailor LDL-C management following statin discontinuation, coupled with lifestyle interventions such as dietary modifications and weight management. This combined strategy aims to minimize long-term statin dependency while sustaining optimal LDL-C levels. A unique case study, based on the author's personal experience, documents recovery from a mild stroke in July 2024. Within two months, LDL-C levels dropped from 3.1 mmol/L to 0.7 mmol/L, with predictive modeling estimating a post-statin discontinuation LDL-C level of 1.8 mmol/L. Subsequent blood tests conducted six months after statin cessation confirmed this prediction, reinforcing the real-world efficacy of the proposed formula. This research explores the broader implications of the Peter Chew LDL Rebound Formula in stroke recurrence prevention, cancer risk mitigation associated with extended statin use, and reducing global healthcare costs. By leveraging predictive analytics and lifestyle adjustments, this approach offers a data-driven, individualized strategy for long-term cardiovascular health. Supplementary Material File (13-6-25 peter chew ldl rebound formula.pdf) Download 1.70 MB Information & Authors Information Version history V1 Version 1 20 June 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords cardiovascular safety ldl rebound formula prof. peter chew reducing stroke recurrence statin discontinuation Authors Affiliations Prof. Dr. Peter Chew 0000-0002-5935-3041 [email protected] View all articles by this author Peter Chew View all articles by this author Metrics & Citations Metrics Article Usage 302 views 102 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Prof. Dr. Peter Chew, Peter Chew. Peter Chew LDL Rebound Formula: A Groundbreaking Approach to Reducing Stroke Recurrence, Mitigating Cancer Risk, and Saving High Global Healthcare Costs. Authorea . 20 June 2025. DOI: https://doi.org/10.22541/au.175044409.93440217/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . Format Please select one from the list RIS (ProCite, Reference Manager) EndNote BibTex Medlars RefWorks Direct import Tips for downloading citations document.getElementById('citMgrHelpLink').addEventListener('click', function() { popupHelp(this.href); return false; }); $(".js__slcInclude").on("change", function(e){ if ($(this).val() == 'refworks') $('#direct').prop("checked", false); $('#direct').prop("disabled", ($(this).val() == 'refworks')); }); View Options View options PDF View PDF Figures Tables Media Share Share Share article link Copy Link Copied! Copying failed. 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