Medical Management of Dyslipidemia for Secondary Stroke Prevention: Narrative Review

Can the Atherogenic Index of Plasma (AIP) Be a Prognostic Marker for Good Clinical Outcome After Mechanical Thrombectomy for Acute Ischemic Stroke?

Background: Stroke remains a leading cause of morbidity and mortality worldwide, with dyslipidemia playing a crucial role in atherosclerosis and stroke development. The Atherogenic Index of Plasma (AIP), calculated as log(triglyceride/HDL), has emerged as a biomarker for atherosclerosis and cardiovascular risk. However, its relationship with stroke prognosis remains unclear. This study aimed to investigate the association between AIP and favorable clinical outcomes at three months in acute ischemic stroke patients undergoing mechanical thrombectomy. Methods: We conducted a retrospective analysis of 222 patients who underwent mechanical thrombectomy between December 2019 and April 2023. The association between AIP and demographic variables, etiology, successful recanalization, intracerebral hemorrhage, and three-month mRS was evaluated. AIP values were compared between patients with good (mRS 0-2) and poor (mRS 3-6) clinical outcomes. Results: The most common comorbidity was hypertension (72.1%), followed by AF (50%). Stroke etiologies included large artery atherosclerosis (16.2%), cardioembolism (57.2%), and undetermined causes (26.6%). AIP values were significantly lower in patients with good functional outcomes. Additionally, AIP values were inversely associated with AF but positively correlated with DM and previous stroke history. No significant relationship was observed between the AIP and successful recanalization or intracerebral hemorrhage. Conclusions: This study is the first to demonstrate that elevated AIP is associated with poor functional outcomes after three months in patients undergoing mechanical thrombectomy. Given its strong correlation with prognosis, the AIP may serve as a valuable biomarker for identifying high-risk patients. Future prospective studies are needed to further validate these findings and explore the potential role of the AIP in stroke management.

The effects of wine consumption and lipid profile: A systematic review and meta-analysis of clinical trials

BACKGROUND AND OBJECTIVE

The aim of this study was to analyze the effects of wine consumption on the lipid profile, distinguishing between triglycerides, total cholesterol, LDL, HDL and fibrinogen.

METHODS

We examined the MEDLINE (via PubMed), Scopus, Cochrane, and Web of Science databases to conduct this systematic review and meta-analysis. PROSPERO has already recorded this study under registration number CRD42023396666.

RESULTS

Thirty-three studies were included in this systematic review, and 29 were included in the meta-analysis. The pooled ES for the effect of red wine consumption on the different lipid profile parameters was significant only for the effect of red wine on the LDL parameter in the prepost studies (-0.29 (95% CI -0.54, -0.05)). The pooled ES for the effect of white wine in prepost studies and clinical trials for the effect of wine consumption on the different parameters did not show any significant results.

CONCLUSION

This systematic review and meta-analysis revealed that wine consumption has an effect on reducing LDL and has no effect on total cholesterol, HDL, triglycerides, or fibrinogen. This research revealed that the duration of the intervention affects triglyceride and total cholesterol levels, indicating that longer interventions are more effective for these two parameters.

REGISTRATION ID

CRD42023396666 (PROSPERO). URL REGISTRATION: https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=396666.

The comorbidity burden of diabetes and stroke: a retrospective study in Beijing, China

BACKGROUND

The high costs associated with diabetes management, coupled with the increasing prevalence of comorbidities, present a significant challenge to China's healthcare system, with cardiovascular complications being particularly prominent. The purpose of this study was to evaluate the comorbidities of diabetic patients with stroke in Beijing from 2016 to 2018 and the impact on treatment options and associated costs.

METHODS

This retrospective cohort study included diabetic patients enrolled in Beijing's medical insurance with outpatient medical records. We compared comorbidities, medications, and related treatment costs between stroke and non-stroke patients.

RESULTS

A representative sample of 2,853,036 patients with diabetes was identified from the data collected from 2016 to 2018, of which an average of 21.18% of patients reported stroke. A higher percentage of diabetic patients with stroke reported other comorbidities including hypertension, coronary artery disease, dyslipidemia, chronic respiratory disease, and osteoporosis as compared to those without stroke(all p's < 0.0001). The costs increased dramatically if diabetic patients developed comorbidities, including hypertension, CAD, dyslipidemia, CRD, and osteoporosis. Annual costs of medications were higher for diabetic patients with stroke and any types of comorbidity compared to diabetic patients without stroke (p <.0001, respectively). More types of drugs were used for diabetic patients with stroke and any types of comorbidity.

CONCLUSIONS

The needs of individuals with diabetes and stroke, including their comorbidity patterns and medical burdens, must be carefully taken into account. Health systems will need to address the increasing demand for diagnosing and managing comorbidities in individuals with diabetes and stroke.

Mendelian randomization studies of lifestyle-related risk factors for stroke: a systematic review and meta-analysis

Objective

Stroke risk factors often exert long-term effects, and Mendelian randomization (MR) offers significant advantages over traditional observational studies in evaluating the causal impact of these factors on stroke. This study aims to consolidate and evaluate the relationships between potential causal factors and stroke risk, drawing upon existing MR research.

Methods

A comprehensive search for MR studies related to stroke was conducted up to August 2023 using databases such as PubMed, Web of Science, Embase, and Scopus. This meta-analysis examines the relationships between potential causative factors and stroke risk. Both random-effects and fixed-effects models were utilized to compile the dominance ratios of various causative elements linked to stroke. The reliability of the included studies was assessed according to the Strengthening the Reporting of Observational Studies in Epidemiology incorporating Mendelian Randomization (STROBE-MR) guidelines.

Results

The analysis identified several risk factors for stroke, including obesity, hypertension, low-density lipoprotein cholesterol (LDL-C), chronic kidney disease (CKD), and smoking. Protective factors included high-density lipoprotein cholesterol (HDL-C), estimated glomerular filtration rate (eGFR), and educational attainment. Subgroup analysis revealed that type 2 diabetes mellitus (T2DM), diastolic blood pressure (DBP) are risk factors for ischemic stroke (IS).

Conclusion

This study confirms that variables such as obesity, hypertension, elevated LDL-C levels, CKD, and smoking are significantly linked to the development of stroke. Our findings provide new insights into genetic susceptibility and potential biological pathways involved in stroke development.

Systematic review registration

https://www.crd.york.ac.uk/PROSPERO, identifier CRD42024503049.

Do interaction and joint effects between physical activity and dietary inflammatory index modify stroke risk?

OBJECTIVE

Stroke is a major public health threat, and both physical activity (PA) and diet are modifiable risk factors for stroke. This study assessed the interaction and joint effects of PA and the dietary inflammatory index (DII) on stroke.

METHODS

We included 18,676 participants from the 2007-2020 National Health and Nutrition Examination Survey. The independent associations, interactions, and joint effects of PA and the DII on stroke were assessed by weighted multivariable logistic regression.

RESULTS

The weighted mean age of the participants was 48.24 years, and comprised 703 individuals who had experienced a stroke. After adjusting for confounders, increased stroke risk was independently associated with a higher DII (Q4, odds ratio [OR]: 1.72, 95 % confidence interval [CI]: 1.27-2.34) and insufficient PA (inactive, OR: 1.37, 95 % CI: 1.05-1.78). No significant multiplicative (OR: 1.11, 95 % CI: 0.34-1.93) or additive (relative excess risk due to interaction: 0.45, 95 % CI: 0.35-1.25) interactions were found between DII and PA. The results of joint associations indicated that individuals who consumed the most pro-inflammatory diet (DII, Q4) and were physically inactive (OR: 2.39, 95 % CI: 1.61-3.56) had the highest stroke risk than those who consumed the most anti-inflammatory diet (DII, Q1) and were physically active.

CONCLUSION

Active PA and low DII scores are independent protective factors against stroke. Although the multiplicative and additive effects of the DII and PA on stroke risk are not statistically significant, the analysis of their joint effects suggest that individuals who consume anti-inflammatory diets and exhibit active PA consistently have the lowest risk of stroke.

Association between dietary intake of niacin and stroke in the US residents: evidence from national health and nutrition examination survey (NHANES) 1999-2018

Objective

This study aims to explore the association between niacin intake and stroke within a diverse, multi-ethnic population.

Methods

A stringent set of inclusion and exclusion criteria led to the enrollment of 39,721 participants from the National Health and Nutrition Examination Survey (NHANES). Two interviews were conducted to recall dietary intake, and the USDA's Food and Nutrient Database for Dietary Studies (FNDDS) was utilized to calculate niacin intake based on dietary recall results. Weighted multivariate logistic regression was employed to examine the correlation between niacin and stroke, with a simultaneous exploration of potential nonlinear relationships using restricted cubic spline (RCS) regression.

Results

A comprehensive analysis of baseline data revealed that patients with stroke history had lower niacin intake levels. Both RCS analysis and multivariate logistic regression indicated a negative nonlinear association between niacin intake and stroke. The dose-response relationship exhibited a non-linear pattern within the range of dietary niacin intake. Prior to the inflection point (21.8 mg) in the non-linear correlation between niacin intake and stroke risk, there exists a marked decline in the risk of stroke as niacin intake increases. Following the inflection point, the deceleration in the decreasing trend of stroke risk with increasing niacin intake becomes evident. The inflection points exhibit variations across diverse populations.

Conclusion

This investigation establishes a negative nonlinear association between niacin intake and stroke in the broader American population.

Exploring Stroke Risk through Mendelian Randomization: A Comprehensive Study Integrating Genetics and Metabolic Traits in the Korean Population

Numerous risk factors play a role in the causation of stroke, and the cardiometabolic condition is a one of the most important. In Korea, various treatment methods are employed based on the constitutional type, which is known to differ significantly in cardiometabolic disease. In this study, we compared the estimates obtained for different groups by applying the Mendelian randomization method to investigate the causal effects of genetic characteristics on stroke, according to constitutional type. In clinical analysis, the subtypes differ significantly in diabetes or dyslipidemia. The genetic association estimates for the stroke subtype risk were obtained from MEGASTROKE, the International Stroke Genetics Consortium (ISGC), UKbiobank, and BioBank Japan (BBJ), using group-related SNPs as instrumental variables. The TE subtypes with higher risk of metabolic disease were associated with increased risk (beta = 4.190; s.e. = 1.807; p = 0.035) of cardioembolic stroke (CES), and the SE subtypes were associated with decreased risk (beta = -9.336, s.e. = 1.753; p = 3.87 × 10-5) of CES. The findings highlight the importance of personalized medicine in assessing disease risk based on an individual's constitutional type.

Dyslipidemia Treatment and Cerebrovascular Disease: Evidence Regarding the Mechanism of Stroke

Dyslipidemia stands as a significant risk factor for stroke, on par with the impact of hypertension, diabetes, and smoking. While the role of dyslipidemia is firmly established in the context of coronary artery disease, its influence on strokes remains somewhat enigmatic. This complexity likely arises from the diverse mechanisms underpinning strokes, which encompass a heterogeneous spectrum (hemorrhagic and ischemic; large artery atherosclerosis, small vessel occlusion, cardioembolism, and etc.). The extent to which lipid-lowering treatments affect stroke outcomes may vary depending on the specific stroke subtype. For instance, in cases of large artery atherosclerosis (LAA), the optimal target level of low-density lipoprotein cholesterol (LDL-C) is relatively clear. However, when dealing with other stroke subtypes like small vessel occlusion or cardioembolism, the appropriate LDL-C target remains uncertain. Furthermore, reperfusion therapy has emerged as the foremost treatment for acute ischemic stroke. Nevertheless, the precise relationship between LDL-C levels and outcomes in patients undergoing reperfusion therapy remains shrouded in uncertainty. Consequently, we have undertaken an in-depth exploration of the existing evidence supporting the utilization of lipid-lowering medications such as statins, ezetimibe, and proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors. Our objective is to elucidate their role in secondary stroke prevention and the management of dyslipidemia across the various stroke subtypes.

Dyslipidaemia in elderly and stroke patients

Lowering of cholesterol containing atherogenic particles through lipid lowering therapies is of outmost important in both in the elderly age group and younger age group in reducing the cardiovascular risk. This chapter summarizes the current existing knowledge regarding the factors which affects the key decision-making process in patients with older age, and also in special circumstance where the direct evidence of benefit for cholesterol lowering is lacking. Effort has been made to briefly summarize the recommendations to the patient and his/her family based on risk stratification of atherosclerotic versus non-atherosclerotic cardiovascular disease, comorbidity burden, quality of life, survival prognosis, lifestyle/socioeconomic status and presence of frailty. Here in this chapter, we have collated and presented the available robust clinical trial evidence which is very much necessary for the assessment of risk versus benefit for hypolipidemic drugs in the elderly age group. While plethora of pharmacological interventions has evolved including statins, ezetimibe, bempedoic acid, PCSK9 inhibitors, Inclisiran etc., but it is essential to establish lipid-lowering therapy goals based on the stroke subtype and the presence of comorbidities. Here in this section we have reviewed the collated clinical evidences for optimal drug regimen recommendation for elderly stroke patients for both primary and secondary prevention.

Predicting 90-day prognosis for patients with stroke: a machine learning approach

BACKGROUND

Stroke is a significant global health burden and ranks as the second leading cause of death worldwide.

OBJECTIVE

This study aims to develop and evaluate a machine learning-based predictive tool for forecasting the 90-day prognosis of stroke patients after discharge as measured by the modified Rankin Score.

METHODS

The study utilized data from a large national multiethnic stroke registry comprising 15,859 adult patients diagnosed with ischemic or hemorrhagic stroke. Of these, 7,452 patients satisfied the study's inclusion criteria. Feature selection was performed using the correlation and permutation importance methods. Six classifiers, including Random Forest (RF), Classification and Regression Tree, Linear Discriminant Analysis, Support Vector Machine, and k-Nearest Neighbors, were employed for prediction.

RESULTS

The RF model demonstrated superior performance, achieving the highest accuracy (0.823) and excellent discrimination power (AUC 0.893). Notably, stroke type, hospital acquired infections, admission location, and hospital length of stay emerged as the top-ranked predictors.

CONCLUSION

The RF model shows promise in predicting stroke prognosis, enabling personalized care plans and enhanced preventive measures for stroke patients. Prospective validation is essential to assess its real-world clinical performance and ensure successful implementation across diverse healthcare settings.

Ocimum sanctum Alters the Lipid Landscape of the Brain Cortex and Plasma to Ameliorate the Effect of Photothrombotic Stroke in a Mouse Model

Stroke-like injuries in the brain result in not only cell death at the site of the injury but also other detrimental structural and molecular changes in regions around the stroke. A stroke-induced alteration in the lipid profile interferes with neuronal functions such as neurotransmission. Preventing these unfavorable changes is important for recovery. Ocimum sanctum (Tulsi extract) is known to have anti-inflammatory and neuroprotective properties. It is possible that Tulsi imparts a neuroprotective effect through the lipophilic transfer of active ingredients into the brain. Hence, we examined alterations in the lipid profile in the cerebral cortex as well as the plasma of mice with a photothrombotic-ischemic-stroke-like injury following the administration of a Tulsi extract. It is also possible that the lipids present in the Tulsi extract could contribute to the lipophilic transfer of active ingredients into the brain. Therefore, to identify the major lipid species in the Tulsi extract, we performed metabolomic and untargeted lipidomic analyses on the Tulsi extract. The presence of 39 molecular lipid species was detected in the Tulsi extract. We then examined the effect of a treatment using the Tulsi extract on the untargeted lipidomic profile of the brain and plasma following photothrombotic ischemic stroke in a mouse model. Mice of the C57Bl/6j strain, aged 2-3 months, were randomly divided into four groups: (i) Sham, (ii) Lesion, (iii) Lesion plus Tulsi, and (iv) Lesion plus Ibuprofen. The cerebral cortex of the lesioned hemisphere of the brain and plasma samples were collected for untargeted lipidomic profiling using a Q-Exactive Mass Spectrometer. Our results documented significant alterations in major lipid groups, including PE, PC, neutral glycerolipids, PS, and P-glycerol, in the brain and plasma samples from the photothrombotic stroke mice following their treatment with Tulsi. Upon further comparison between the different study groups of mice, levels of MGDG (36:4), which may assist in recovery, were found to be increased in the brain cortexes of the mice treated with Tulsi when compared to the other groups (p < 0.05). Lipid species such as PS, PE, LPG, and PI were commonly altered in the Sham and Lesion plus Tulsi groups. The brain samples from the Sham group were specifically enriched in many species of glycerol lipids and had reduced PE species, while their plasma samples showed altered PE and PS species when compared to the Lesion group. LPC (16:1) was found in the Tulsi extract and was significantly increased in the brains of the PTL-plus-Tulsi-treated group. Our results suggest that the neuroprotective effect of Tulsi on cerebral ischemia may be partially associated with its ability to regulate brain and plasma lipids, and these results may help provide critical insights into therapeutic options for cerebral ischemia or brain lesions.