Determining the role of statins in Parkinson's disease risk reduction and disease modification: A comprehensive meta-analysis of 4 million participants' data.

BACKGROUND: Many observational studies have examined the association between statins and the incidence of Parkinson's disease (PD) in high-risk populations. On the other hand, clinical trials as well as other observational studies investigated the safety and efficacy of statins in slowing disease progression in PD patients. However, the evidence has been inconclusive in both questions. To that end, we conducted this systematic review and meta-analysis to synthesize evidence on the role of statins in decreasing the risk of PD among high-risk populations and as a possible disease-modifying agent for patients with PD. METHODS: A comprehensive literature search of electronic databases including PubMed, Scopus, Cochrane, and Web of Science has been performed. Relevant studies were chosen and data were extracted and analyzed using RevMan software version 5.4.1. RESULTS: Twenty-five studies (14 cohort, 9 case-control, and 2 randomized controlled trials) have been included in the present systematic review. Of them, 21 studies reported the association between statins and PD risk. Statins were found to significantly reduce the risk of developing PD (pooled RR 0.86, 95% CI [0.77-0.95], p < 0.005). Four studies investigated statins as a disease-modifying agent. The pooled mean difference (MD) in the UPDRS-III from baseline to endpoint did not differ significantly between the statin and control groups (MD -1.34 points, 95% CI [-3.81 to 1.14], p = 0.29). CONCLUSION: Although epidemiological observational studies showed that statin use was associated with a reduced risk of PD, current evidence is insufficient to support the role of statins in slowing the progression of PD. These findings are limited by the fact that most of the included studies are observational studies which carry a high risk of confounding bias which highlights the need for future well-designed RCTs.

The Impact of Statins on Disease Severity and Quality of Life in Patients with Psoriasis: A Systematic Review and Meta-Analysis.

BACKGROUND: Psoriasis, a chronic autoimmune condition, imposes significant burdens on patients' well-being. While corticosteroid medications are commonly used, their prolonged use presents risks. Statins, known for their immunoregulatory and anti-inflammatory properties, have emerged as potential alternatives. Previous reviews indicated that statins might improve psoriasis symptoms but showed inconsistent results and lacked meta-analyses that generated pooled effect estimates. Therefore, this study addresses this gap by providing a comprehensive overview of the impact of statins on psoriasis severity and quality of life (QoL) for patients with psoriasis. METHODS: A thorough search of four electronic databases (PubMed, Cochrane Central Register of Controlled Trials, Scopus, and Science Direct) was conducted for relevant studies published before April 2024. RESULTS: Seven studies involving 369 patients were included. This meta-analysis showed a statistically significant reduction in PASI scores at week 8 with statin treatment (MD = -1.96, 95% CI [-3.14, -0.77], p = 0.001). However, no statistically significant difference was found between statins and placebo at week 12 (MD = 0.19, 95% CI [-0.18, 0.55]). Additionally, DLQI scores indicated a significant improvement in quality of life with statins compared to placebo (MD = -3.16, 95% CI [-5.55, -0.77]). CONCLUSIONS: Statins can improve disease severity and quality of life in psoriasis patients, suggesting the potential benefits of statin therapy. However, further research is needed to determine the optimal treatment duration, address outcome heterogeneity, and explore additional benefits such as cholesterol and triglyceride reduction.

Incidence of prostate, colorectal and male breast cancers in relation with statins and testosterone replacement therapy: SEER-Medicare 2007-2015.

INTRODUCTION: Statins and testosterone replacement therapy (TTh) have been inconsistently associated with a reduced risk of hormone-related cancers (HRCs, prostate [PCa], colorectal [CRC], and male breast cancers [BrCa]). Yet, the joint association of statins and TTh with the incidence of these cancers, and whether these associations vary by race, remains poorly understood. The objective of this retrospective cohort study is to examine the independent and joint effects of pre-diagnostic use of statins and TTh on the risk of HRCs, including PCa, CRC, and male BrCa. MATERIALS: and Methods: In 105,690 men (≥65 yrs) identified using the SEER-Medicare 2007-2015 data, we identified 82,578 White and 10,256 Black men. Pre-diagnostic prescription of statins and TTh was ascertained for this analysis and categorized into four groups (Neither users, statins alone, TTh alone and Dual users). Multivariable Time-varying Cox proportional hazards and Accelerated Failure Time (AFT) models were performed. RESULTS: We found inverse joint associations of statins and TTh with incident HRCs before (aHR: 0.39; 95 % CI: 0.35-0.44) and after 3 years of follow-up (aHR: 0.74; 95 % CI: 0.67-0.82). This included a lower risk for advanced stage HRC (only <3 years follow-up). Similar joint associations were identified with incident PCa, aggressive PCa, incident CRC, and its specific right- and left-sided CRC (only <3 years follow-up). In general, the inverse associations persisted among White (mainly <3 years follow-up) and Black men (high-grade HRC and <3 years follow-up). Findings from the AFT analysis were similar. DISCUSSION: Pre-diagnostic use of statins and TTh were, independently and jointly, associated with reduced risks of HRC and specific cancer sites at three years of follow-up overall, and among White and Black men. Greatest associations of HRCs risk reduction were observed among dual users (statins plus TTh). Further studies are needed to validate these findings, including larger samples of Black men, and male BrCa sites.

Evaluation of infectious diseases physicians' attitudes to dyslipidemia management in PLWH.

OBJECTIVES: Dyslipidemia is a well-established risk factor for atherosclerotic cardiovascular disease (ASCVD). ASCVD prevalence among people living with HIV (PLWH) is twice that of the general population. This study aimed to evaluate the infectious diseases (ID) physicians' attitudes on dyslipidemia management in PLWH. METHODS: This observational, cross-sectional study was conducted as online survey among ID physicians between November 2023 and February 2024. An e-mail with the survey link, title and purpose of the study was sent to physicians through the local ID societies. The survey included questions about physicians' demographic characteristics and their attitudes toward treating dyslipidemia in PLWH. RESULTS: A total of 242 physicians responded to the survey, of whom 59.9% (n = 145) were ID specialists and 40.1% (n = 97) were ID residents. Forty-one percent (n = 100) of physicians reported that they did not follow a guideline, and 26% of physicians reported that they did not use a cardiovascular risk calculator in their clinical practice. Specialists (69%) were more likely than residents (43.3%) to follow clinical guidelines for dyslipidemia management (p < 0.001). Seventy-two percent (n = 174) of physicians doubted the need to treat dyslipidemia, and 73% (n = 177) of physicians were affected by the patient skepticism. Workload and lack of time were identified by 68.6% of physicians as barriers to implementing dyslipidemia guideline recommendations. CONCLUSION: A considerable number of Turkish ID physicians did not prefer using clinical guidelines for dyslipidemia and ASCVD risk calculators. Statin prescribing of physicians was influenced by workload, lack of time, patient skepticism, and lack of knowledge. Training ID physicians in primary prevention of ASCVD and management of dyslipidemia in PLWH is paramount.

Prescription patterns of statins in cirrhotic patients: a survey among primary care physicians and cardiologists.

Background: Statin therapy is widely utilized for preventing atherosclerotic cardiovascular disease, both as a primary and secondary measure. Despite the American Association for the Study of Liver Diseases' endorsement of statin use in cirrhotic patients, practitioners exhibit hesitancy, primarily due to concerns regarding hepatotoxicity. This study aimed to evaluate statin prescription patterns in cirrhotic patients by primary care physicians (PCPs) and cardiologists through a survey. Methods: A voluntary survey via Survey Monkey with nine objective-type questions was sent to 220 PCPs and 75 cardiologists within Allegheny Health Network. Survey results were collected, and a chi square test was used to compare the two groups. A P value ≤ 0.05 was considered statistically significant. Results: A total of 64 PCPs (29.1%) and 15 cardiologists (20%) completed the survey. Overall, 12.6% did not prescribe statins for primary prevention of atherosclerotic cardiovascular disease in compensated cirrhotic patients. While all cardiologists prescribed statins for secondary prevention, over 50% preferred lower-intensity options. Conversely, 14.1% of PCPs avoided statin prescriptions for secondary prevention. Cardiologists were significantly more inclined to prescribe statins, especially for cirrhosis due to metabolic dysfunction-associated steatotic liver disease compared to PCPs (73.3% vs 45.3%, P = 0.05). Conclusions: Despite increasing evidence favoring use of statins in cirrhosis for improving portal hemodynamics and decreasing ascites, hepatic encephalopathy, the incidence of hepatocellular carcinoma, and mortality, there is still hesitation on the part of prescribers for the fear of worsening liver disease. Wider dissemination of current guidelines and education practices may help to bridge this gap.

Evidence of an effect of statins on lesions originating from dental infection. A retrospective clinical investigation.

BACKGROUND: Apical periodontitis (AP) is an inflammatory dental disease caused by bacterial infections of the endodontic system. The correlation between AP and cardiovascular diseases. (CVD) has been consistently investigated. Statins are a class of drugs that are used to treat hypercholesterolemia and prevent atherosclerotic vascular diseases. They have other beneficial pleiotropic effects such as anti-inflammatory, antithrombotic, and antioxidant activities. The aim of this study was to evaluate the oral health status and prevalence of AP in patients treated with statins (Group S) in comparison with untreated patients (Group C) to understand whether the anti-inflammatory action of these drugs can influence the prevalence of AP. METHODS: The records of seventy-nine patients (43 men and 36 women, mean age 68 ± 11 years, 1716 teeth) treated with statins and referred to the University clinic for dental evaluation were reviewed. Seventy patients free from systemic diseases and without therapy (39 men and 31 women, mean age 62 ± 9 years, 1720 teeth) constituted the control group. All subjects underwent complete oral, dental, and radiographic examinations to determine the presence and severity of AP. Periapical index (PAI) and decayed, missed, and filled teeth (DMFT) scores were obtained. RESULTS: AP was significantly less common in Group S (22,8%) than in Group C (50%) (P < 0.05). Furthermore, the mean value of the qualitative rank of the severity of AP (PAI score) was higher in Group C than in Group S (P ≤ 0.05). CONCLUSIONS: Our results suggest that statins can attenuate the prevalence of AP, which is associated to CVD.

Exploiting the anti-fibrotic effects of statins on thoracic aortic aneurysm progression: results from a meta-analysis and experimental data.

Aims: Thoracic aortic aneurysm (TAA) that progress to acute aortic dissection is often fatal and there is no pharmacological treatment that can reduce TAA progression. We aim to evaluate statins' effects on TAA growth rate and outcomes using a meta-analysis approach. Methods and results: A detailed search related to the effects of statins on TAA was conducted according to PRISMA guidelines. The analyses of statins' effects on TAA growth rate were performed on 4 studies (n = 1850), while the impact on outcomes was evaluated on 3 studies (n = 2,867). Patients under statin treatment showed a reduced TAA growth rate (difference in means = -0.36 cm/year; 95%CI: -0.64, -0.08; p = 0.013) when compared to controls, patients not taking statins. Regarding the outcomes (death, dissection, or rupture of the aorta, and the need for operative repair), statins exhibited a protective effect reducing the number of events (log odds ratio = -0.56; 95%CI: -1.06, -0.05; p = 0.030). In vitro, the anti-fibrotic effect of atorvastatin was tested on vascular smooth muscle cells (VMSC) isolated from patients with TAA. Our results highlighted that, in transforming growth factor beta 1 (TGF-ß1) pro-fibrotic condition, VSMC expressed a significant lower amount of collagen type I alpha 1 chain (COL1A1) when treated with atorvastatin (untreated = +2.66 ± 0.23 fold-change vs. treated = +1.63 ± 0.09 fold-change; p = 0.014). Conclusion: Statins show a protective effect on TAA growth rate and adverse outcomes in patients with TAA, possibly via their anti-fibrotic properties on VSMC. Given the current lack of effective drug treatments for TAA, we believe our findings highlight the need for more in-depth research to explore the potential benefits of statins in this context.

Association of statins with peak oxygen consumption in 4,941 adults: A cross-sectional study.

Background and aims: Cardiovascular disease remains a leading cause of mortality, with statins widely used to reduce its risk. Despite extensive research, the nuanced impact of statin therapy on cardiorespiratory fitness, particularly the reduction in peak oxygen consumption (VO2), is still an open question. This study aims to contribute fresh insights to the ongoing discussion, highlighting the unresolved nature of this clinical matter. Methods: We retrospectively analyzed maximal cardiopulmonary exercise test (CPET) in male and female participants over 18 years of age who were under statins treatment. They were categorized as physically active or inactive according to self-report of physical activity. From 33,804 CPET, 4,941 participants (76 % men, age 42 ± 13 years; and 24 % women, age 41 ± 13 years) were included in the study. Results: The multivariate linear regression model showed that statins were associated with a significant reduction in VO2 peak (-4.2 [-4.8, -3.5] mL/kg/min, p < 0.01) after adjusting for age, sex, use of beta-blockers, antiarrhythmics, presence of diabetes, and weekly level of physical activity. This reduction in VO2 peak was attenuated in participants with higher weekly physical activity volume (150 to 300 min/week: 3.2 [2.7; 3.7] mL/kg/min; 301 to 600 min/week: 4.5 [3.7; 5.3] mL/kg/min; and > 600 min/week: 6.9 [5.4; 8.4] mL/kg/min, all p < 0.01). Conclusions: Statin use is associated with a lower VO2 peak in adults. However, this adverse effect appears to be mitigated by engaging in regular physical activity (>150 min/week). Future research should explore the mechanisms behind this interaction and identify optimal exercise regimens for individuals on statin therapy.

Research advances in the therapy of metabolic syndrome.

Metabolic syndrome refers to the pathological state of metabolic disorder of protein, fat, carbohydrate, and other substances in the human body. It is a syndrome composed of a group of complex metabolic disorders, whose pathogenesis includes multiple genetic and acquired entities falling under the category of insulin resistance and chronic low-grade inflammationand. It is a risk factor for increased prevalence and mortality from diabetes and cardiovascular disease. Cardiovascular diseases are the predominant cause of morbidity and mortality globally, thus it is imperative to investigate the impact of metabolic syndrome on alleviating this substantial disease burden. Despite the increasing number of scientists dedicating themselves to researching metabolic syndrome in recent decades, numerous aspects of this condition remain incompletely understood, leaving many questions unanswered. In this review, we present an epidemiological analysis of MetS, explore both traditional and novel pathogenesis, examine the pathophysiological repercussions of metabolic syndrome, summarize research advances, and elucidate the mechanisms underlying corresponding treatment approaches.

Aspirin but not statins is inversely related to gastric cancer with a duration-risk effect: Results from the Stomach Cancer Pooling Project Consortium.

BACKGROUND: Aspirin and statins have been suggested to have potential chemopreventive effects against gastric cancer (GC), although the results of previous studies have been inconsistent. This study therefore aimed to investigate the association between the use of aspirin and statins and GC. METHODS: A pooled analysis of seven case-control studies within the Stomach Cancer Pooling Project, including 3220 cases and 9752 controls, was conducted. Two-stage modeling analyses were used to estimate the association between aspirin and statin use and GC after adjusting for potential confounders. RESULTS: The pooled odds ratio (OR) of GC for aspirin users versus nonusers was 0.72 (95% confidence interval [CI], 0.54-0.95). The protective effect of aspirin appeared stronger in individuals without a GC family history (OR, 0.60; 95% CI, 0.37-0.95), albeit with borderline heterogeneity between those with and without a family history (p = .064). The OR of GC decreased with increasing duration of aspirin use, with an OR of 0.41 (95% CI, 0.18-0.95) for durations of ≥15 years. An inverse, nonsignificant association with the risk of GC was observed for the use of statins alone (OR, 0.79; 95% CI, 0.52-1.18). CONCLUSIONS: These findings suggest that aspirin use, particularly long-term use, is associated with a reduced risk of GC, whereas a similar association was not observed with statins, possibly because of the low frequency of use.

Additional statin treatment enhances the efficacy of HER2 blockade and improves prognosis in Rac1-high/HER2-positive breast cancer.

The prognosis of HER2-positive breast cancer (BC) has improved with the development of anti-HER2 therapies; however, the problem remains that there are still cases where anti-HER2 therapies do not respond well. We found that the expression of SREBF2, a master transcriptional factor in the mevalonate pathway, was correlated with ERBB2 (HER2) expression and a poor prognosis in HER2-positive BC. The target gene expressions of SREBF2 were associated with higher expression of ERBB2 in HER2-positive BC cells. Statins, anti-hypercholesterolemia drugs that inhibit the mevalonate pathway, enhanced the efficacy of HER2-targeting agents with inducing apoptosis in a geranylgeranylation-dependent manner. Mechanistically, statins specifically inhibited membrane localization of Rac1, a target protein of geranylgeranylation, and suppressed the activation of HER2 downstreams AKT and ERK pathways. Consistently, retrospective analysis showed a longer recurrence-free survival in Rac1-high/HER2-positive BC patients treated with HER2-targeting agents with statins than without statins. Our findings thus suggest that Rac1 expression could be used as a biomarker to stratify HER2-positive BC patients that could benefit from dual blockade, i.e., targeting HER2 with inhibition of geranylgeranylation of Rac1 using statins, thereby opening avenues for precision medicine in a new subset of Rac1-high/HER2-positive BC.

Role of gut microbiota and metabolomics in the lipid-lowering efficacy of statins among Chinese patients with coronary heart disease and hypercholesterolemia.

Background: Statins, being the primary pharmacological intervention for hypercholesterolemia, exhibit a notable degree of interpatient variability in their effectiveness, which may be associated with gut microbiota. This study sought to identify the biomarkers for evaluating differences in statin efficacy. Methods: A quasi case-control study was conducted among participants with hypercholesterolemia and coronary heart disease taking rosuvastatin essential. According to the level of low density lipoprotein cholesterol (LDL-C), participants was divided into the "Up to standard" (US) group and the "Below standard" (BS) group. 16S rDNA sequencing and untargeted metabolomics were applied to detected the information of gut microbiota and related metabolites. Results: A total of 8 US and 8 BS group matched by age and sex were included in the final analysis. 16S rDNA sequencing results indicated that the characteristic strains of the US group were f-Eubacterium_coprostanoligenes and g-Papillibacter, while the characteristic flora of the BS group were o-C0119, g-Pseudolabrys, s-Dyella-Marensis and f-Xanthobacaceae. Metabolomic results suggested that the levels of chenodeoxycholic acid-3-ß-D-glucuronide, 1-methylnicotinamide and acetoacetate in stool samples of the US group were significantly higher than those of the BS group. By identifying the differentially abundant bacterial taxa, the gut microbiota could modulate the efficacy of statins through producing enzymes involved in cholesterol metabolism. Conclusions: The findings suggest that the difference in statin efficacy may be related to gut microbiota strains that can produce short-chain fatty acids and secondary bile acids and affect the efficacy of statins by regulating the activities of cholesterol metabolite-related proteins. Metabolites related to short-chain fatty acids and secondary bile acids in the gut are expected to be biomarkers indicating the efficacy of statins.

Machine learning-based prediction model for the efficacy and safety of statins.

Objective: The appropriate use of statins plays a vital role in reducing the risk of atherosclerotic cardiovascular disease (ASCVD). However, due to changes in diet and lifestyle, there has been a significant increase in the number of individuals with high cholesterol levels. Therefore, it is crucial to ensure the rational use of statins. Adverse reactions associated with statins, including liver enzyme abnormalities and statin-associated muscle symptoms (SAMS), have impacted their widespread utilization. In this study, we aimed to develop a predictive model for statin efficacy and safety based on real-world clinical data using machine learning techniques. Methods: We employed various data preprocessing techniques, such as improved random forest imputation and Borderline SMOTE oversampling, to handle the dataset. Boruta method was utilized for feature selection, and the dataset was divided into training and testing sets in a 7:3 ratio. Five algorithms, including logistic regression, naive Bayes, decision tree, random forest, and gradient boosting decision tree, were used to construct the predictive models. Ten-fold cross-validation and bootstrapping sampling were performed for internal and external validation. Additionally, SHAP (SHapley Additive exPlanations) was employed for feature interpretability. Ultimately, an accessible web-based platform for predicting statin efficacy and safety was established based on the optimal predictive model. Results: The random forest algorithm exhibited the best performance among the five algorithms. The predictive models for LDL-C target attainment (AUC = 0.883, Accuracy = 0.868, Precision = 0.858, Recall = 0.863, F1 = 0.860, AUPRC = 0.906, MCC = 0.761), liver enzyme abnormalities (AUC = 0.964, Accuracy = 0.964, Precision = 0.967, Recall = 0.963, F1 = 0.965, AUPRC = 0.978, MCC = 0.938), and muscle pain/Creatine kinase (CK) abnormalities (AUC = 0.981, Accuracy = 0.980, Precision = 0.987, Recall = 0.975, F1 = 0.981, AUPRC = 0.987, MCC = 0.965) demonstrated favorable performance. The most important features of LDL-C target attainment prediction model was cerebral infarction, TG, PLT and HDL. The most important features of liver enzyme abnormalities model was CRP, CK and number of oral medications. Similarly, AST, ALT, PLT and number of oral medications were found to be important features for muscle pain/CK abnormalities. Based on the best-performing predictive model, a user-friendly web application was designed and implemented. Conclusion: This study presented a machine learning-based predictive model for statin efficacy and safety. The platform developed can assist in guiding statin therapy decisions and optimizing treatment strategies. Further research and application of the model are warranted to improve the utilization of statin therapy.

Associations between Statin Use and Glaucoma in the All of Us Research Program.

PURPOSE: To investigate associations between statin use and glaucoma in the 2017-2022 All of Us (AoU) Research Program. DESIGN: Cross-sectional, population-based. PARTICIPANTS: 79,742 adult participants aged ≥ 40 years with hyperlipidemia and with electronic health record (EHR) data in the AoU database. METHODS: Hyperlipidemia, glaucoma status, and statin use were defined by diagnoses and medication information in EHR data collected by AoU. Logistic regression analysis was performed to evaluate the association between statin use and glaucoma likelihood. Logistic regression modeling was used to examine associations between glaucoma and all covariates included in adjusted analysis. Serum low-density lipoprotein cholesterol (LDL-C) was used to assess hyperlipidemia severity. Analyses stratified by LDL-C level and age were performed. MAIN OUTCOME MEASURES: Any glaucoma as defined by International Classification of Diseases (ICD) codes found in EHR data. RESULTS: Of 79,742 individuals with hyperlipidemia in AoU, there were 6,365 (8.0%) statin users. Statin use was associated with increased glaucoma prevalence when compared with statin non-use (adjusted odds ratio [aOR]: 1.13, 95% confidence interval [CI]: 1.01-1.26). Higher serum levels of LDL-C were associated with increased odds of glaucoma (aOR: 1.003, 95% CI: 1.003, 1.004). Statin users had significantly higher LDL-C levels compared to nonusers (144.9 mg/dL versus 136.3 mg/dL, p-value < 0.001). Analysis stratified by LDL-C identified positive associations between statin use and prevalence of glaucoma among those with optimal (aOR = 1.39, 95% CI = 1.05-1.82) and high (aOR = 1.37, 95% CI = 1.09-1.70) LDL-C levels. Age-stratified analysis showed a positive association between statin use and prevalence of glaucoma in individuals aged 60-69 years (aOR = 1.28, 95% CI = 1.05-1.56). CONCLUSIONS: Statin use was associated with increased glaucoma likelihood in the overall adult AoU population with hyperlipidemia, in individuals with optimal or high LDL-C levels, and in individuals 60-69 years old. Findings suggest that statin use may be an independent risk factor for glaucoma, which may furthermore be affected by one's lipid profile and age.

The molecular basis of the anticancer effect of statins.

Statins, widely used cardiovascular drugs that lower cholesterol by inhibiting HMG-CoA reductase, have been increasingly recognized for their potential anticancer properties. This study elucidates the underlying mechanism, revealing that statins exploit Synthetic Lethality, a principle where the co-occurrence of two non-lethal events leads to cell death. Our computational analysis of approximately 37,000 SL pairs identified statins as potential drugs targeting genes involved in SL pairs with metastatic genes. In vitro validation on various cancer cell lines confirmed the anticancer efficacy of statins. This data-driven drug repurposing strategy provides a molecular basis for the anticancer effects of statins, offering translational opportunities in oncology.

Lipid control and stroke risk in atrial fibrillation patients treated with direct oral anticoagulants and statins.

INTRODUCTION: The risk of ischemic stroke and intracerebral hemorrhage (ICH) with intensive lipid control by statins among patients with atrial fibrillation (AF) who require direct oral anticoagulants (DOAC) is unclear. We aimed to determine the risks of ischemic stroke and ICH in AF patients treated with DOAC and statins. PATIENTS AND METHODS: In a population-based retrospective cohort study, we identified AF patients concurrently on DOAC and statins from 2015 to 2021 in Hong Kong. Primary outcome was ischemic stroke. Secondary outcomes were ICH and death. We correlated study outcomes with low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) as time-varying, continuous variables with restricted cubic spline. In secondary analyses, the risks of study outcomes with statin intensity (low, moderate, high) were determined by multivariable time-dependent marginal structural Cox models. RESULTS: We identified 32,752 AF patients co-prescribed with DOAC and statins. Lower LDL-C (p < 0.001) and higher HDL-C (p < 0.001) levels were associated with lower risk of ischemic stroke but not significantly associated with ICH. LDL-C of <1.8 mmol/L (70 mg/dL) was not associated with mortality (19.6% vs 18.4%, difference 1.2% [95% CI -0.35 to 2.13]). High-intensity statin was associated with a lower risk of ischemic stroke compared with low-intensity statin (weighted Cox-specific hazard ratio [95% CI]: 0.82 [0.67-0.99], p = 0.040) independent of LDL-C levels. Similar associations were found in 11,444 AF patients with a history of ischemic stroke. DISCUSSION AND CONCLUSION: Intensive lipid control by high-intensity statins was associated with a lower risk of ischemic stroke in AF patients who required DOACs and did not appear to increase the risk of ICH.

Statins for the prevention of cardiovascular events associated with avian influenza: the COVID-19 pandemic as a reference.

There is growing concern that the severe respiratory disease in birds (avian influenza or 'bird flu') caused by the H5N1 influenza virus, might potentially spread more widely to humans and cause a pandemic. Here we discuss clinical issues related to human infections by the highly pathogenic H5N1 subtype of the avian influenza A virus and make a clinical comparison with recent information obtained from studies of SARS-CoV-2 infection. Firstly, we consider the potential increase in cardiovascular events in humans infected with the H5N1 virus. Like SARS-CoV-2 infection, H5N1 infection may result in endothelial dysfunction and the associated procoagulant and prothrombotic state, and via this mechanism, the infection can potentially increase cardiovascular morbidity, especially in vulnerable individuals with pre-existing cardiovascular disease. Secondly, we discuss the potential beneficial role of statin use, both in the prophylaxis and the treatment of individuals with influenza A(H5N1), as was found favorable for the treatment of COVID-19 caused by SARS-CoV-2 infection.

There is a concern that avian influenza caused by the highly pathogenic avian influenza A(H5N1) virus might potentially spread more widely to humans and result in a pandemicH5N1 infection may result in endothelial dysfunction and via this mechanism, it can potentially increase cardiovascular morbidity and mortality as has occurred with SARS-CoV-2 infection.There is a potential advantage of the use of statins to reduce cardiovascular morbidity and mortality in patients with avian influenza A(H5N1), as has been found in patients suffering from COVID-19.