Metabolic syndrome and incident peripheral artery disease - the Multi-Ethnic Study of Atherosclerosis

Prediabetes and the risk of peripheral artery disease: a meta-analysis

BACKGROUND

Peripheral artery disease (PAD) is a significant vascular condition that can lead to severe complications, including limb ischemia and cardiovascular events. This meta-analysis aims to evaluate the association between prediabetes, an intermediate state between normoglycemia and diabetes, and the risk of developing PAD.

METHODS

A comprehensive search of PubMed, EMBASE, and Web of Science databases was conducted to identify relevant cohort studies up to April 12, 2024. Data extraction was performed independently by two reviewers, and any discrepancies were resolved by consensus. Pooled relative risks (RRs) and 95% confidence intervals (CIs) were calculated using a random-effects model to account for heterogeneity among studies.

RESULTS

A total of eight cohort studies comprising 90133 participants were included in the meta-analysis. The pooled analysis revealed that individuals with prediabetes had a significantly higher risk of PAD compared to those with normoglycemia (RR = 1.27, 95% CI: 1.13-1.42, p < 0.001; I2 = 55%). Subgroup analyses indicated that the association was stronger in prediabetes defined by mildly elevated hemoglobin A1c (RR: 1.47) compared to those defined by impaired fasting glucose (RR: 1.21) or impaired glucose tolerance (RR: 1.17, p for subgroup difference < 0.001). In addition, a stronger association was observed for studies reporting clinically diagnosed PAD compared to studies that included asymptomatic PAD (RR: 1.32 versus 0.92, p for subgroup difference = 0.02).

CONCLUSIONS

This meta-analysis demonstrates a significant association between prediabetes and an increased risk of PAD in generally community-derived population.

The causal relationship between metabolic syndrome and its components and cardiovascular disease: A mendelian randomization study

AIM

To investigate the causal relationship between metabolic syndrome (MetS) and its components and 14 cardiovascular diseases using Mendelian randomization (MR).

METHODS

We used summary statistics from large-scale genome-wide association studies of MetS, its components, and cardiovascular diseases. We performed a two-sample MR analysis using the inverse-variance weighted method and other sensitivity methods. We also performed multivariate MR to adjust for potential risk factors.

RESULTS

Our study found that MetS was causally associated with an increased risk of ischemic stroke, abdominal aortic aneurysm, pulmonary embolism, coronary heart disease, heart failure, and peripheral artery disease. Waist circumference was causally associated with an increased risk of 6 cardiovascular diseases. Type 2 diabetes mellitus, diastolic blood pressure, systolic blood pressure, triglycerides, and high-density lipoprotein cholesterol were all causally associated with coronary heart disease, with varying causal relationships with the remaining 5 cardiovascular diseases. Multivariate MR showed that, except for ischaemic stroke, waist circumference remained causally associated with the remaining five cardiovascular diseases after adjusting for potential confounders.

CONCLUSION

Our study provides evidence that metabolic syndrome is causally associated with 6 cardiovascular diseases. Waist circumference is the most important component of these relationships. These findings have implications for the prevention and management of metabolic syndrome and cardiovascular diseases.

Metabolic Syndrome and Risk of Peripheral Arterial Disease: A Systematic Review and Meta-Analysis

This systematic review aimed to evaluate metabolic syndrome as a risk factor for the development of peripheral arterial disease (PAD). We searched in four databases: (1) PubMed, (2) Web of Science, (3) Scopus, and (4) Embase until March 2021. We included cohort studies that evaluated the risk of PAD in patients with and without metabolic syndrome. Study selection, data extraction, and risk of bias analysis were performed independently by 2 authors. We used a random-effects model to conduct a meta-analysis of effect measures [hazard ratio (HR), risk ratio (RR), and odds ratio (OR)]. Individual analyses were performed according to the diagnostic criterion used for metabolic syndrome. We included 7 cohort studies with a total of 43 824 participants. Most of the studies were performed in the general adult population. The metabolic syndrome and PAD diagnostic criteria used in the individual studies were heterogeneous. Almost all studies using RR found an association between metabolic syndrome and the development of PAD (RR: 1.31; confidence interval 95%: 1.03-1.59; I 2 : 15.6%). On the other hand, almost all the studies that used HR found no association between the two variables. All studies had a low risk of bias. In conclusion, available evidence on the association between metabolic syndrome and the risk of developing PAD is inconsistent. However, given the high prevalence of risk factors that patients with metabolic syndrome have, testing to rule out PAD could be recommended. Future studies should analyze each component of the metabolic syndrome separately and according to the severity of PAD.

Different Impact of Metabolic Syndrome on the Risk of Incidence of the Peripheral Artery Disease and the Venous Thromboembolism: A Nationwide Longitudinal Cohort Study in South Korea

Background

Limited data is available between metabolic syndrome (MetS) and the development of peripheral arterial disease (PAD) or venous thromboembolism (VTE) in the Asian population. We investigated the incidence of PAD and VTE according to the prevalence of MetS and evaluated the impact of individual components in MetS on the development of PAD and VTE using Korean national data.

Methods

Data obtained from national health screening examinations of the Korean National Health Insurance Service from January 1, to December 31, 2009. In total, 9,927,538 participants, 7,830,602 participants were included in this study and the incidence rate of PAD and VTE was investigated retrospectively during a 7-year follow-up. Using the National Cholesterol Education Program Adult Treatment Panel III criteria, patients were placed into one of three groups depending on MetS component numbers: 0 (normal), 1-2 (Pre-MetS), or 3-5 (MetS).

Results

The incidence rates of PAD and VTE in MetS were 2.25% and 0.71%, respectively. After multivariable adjustment, the risk of PAD was significantly associated with MetS (hazard ratio (HR) 1.45, 95% confidence interval (CI) 1.42-1.49), the risk of VTE was not associated with MetS (HR 1.01, 95% CI 0.96-1.05). When subgroup analyses were conducted according to MetS components, elevated fasting glucose (HR 1.26, 95% CI 1.23-1.27), abdominal obesity (HR 1.15, 95% CI 1.12-1.17), and elevated blood pressure (HR 1.13, 95% CI 1.12-1.15) were the most related to PAD. Abdominal obesity (HR 1.104, 95% CI 1.064-1.146) was associated with an increased risk of VTE.

Conclusions

MetS was significantly associated with an increased incidence rate of PAD among the general Korean population. On the other hand, MetS was not associated with the VTE incidence rate. Of the MetS components, only abdominal obesity was a significant predictor of VTE.

Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association

BACKGROUND

The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year's worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Heart Disease and Stroke Statistics-2022 Update: A Report From the American Heart Association

BACKGROUND

The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2022 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population and an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, and the global burden of cardiovascular disease and healthy life expectancy.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Body Fat Distribution, Cardiometabolic Traits, and Risk of Major Lower-Extremity Arterial Disease in Postmenopausal Women

OBJECTIVE

To assess the relationship between body fat distribution and incident lower-extremity arterial disease (LEAD).

RESEARCH DESIGN AND METHODS

We included 155,925 postmenopausal women with anthropometric measures from the Women's Health Initiative who had no known LEAD at recruitment. A subset of 10,894 participants had body composition data quantified by DXA. Incident cases of symptomatic LEAD were ascertained and adjudicated through medical record review.

RESULTS

We identified 1,152 incident cases of LEAD during a median 18.8 years follow-up. After multivariable adjustment and mutual adjustment, waist and hip circumferences were positively and inversely associated with risk of LEAD, respectively (both P-trend < 0.0001). In a subset (n = 22,561) where various cardiometabolic biomarkers were quantified, a similar positive association of waist circumference with risk of LEAD was eliminated after adjustment for diabetes and HOMA of insulin resistance (P-trend = 0.89), whereas hip circumference remained inversely associated with the risk after adjustment for major cardiometabolic traits (P-trend = 0.0031). In the DXA subset, higher trunk fat (P-trend = 0.0081) and higher leg fat (P-trend < 0.0001) were associated with higher and lower risk of LEAD, respectively. Further adjustment for diabetes, dyslipidemia, and blood pressure diminished the association for trunk fat (P-trend = 0.49), yet the inverse association for leg fat persisted (P-trend = 0.0082).

CONCLUSIONS

Among U.S. postmenopausal women, a positive association of upper-body fat with risk of LEAD appeared to be attributable to traditional risk factors, especially insulin resistance. Lower-body fat was inversely associated with risk of LEAD beyond known risk factors.

Heart Disease and Stroke Statistics-2021 Update: A Report From the American Heart Association

BACKGROUND

The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2021 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population, an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, the global burden of cardiovascular disease, and further evidence-based approaches to changing behaviors related to cardiovascular disease.

RESULTS

Each of the 27 chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policy makers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Association Between Metabolic Syndrome and Peripheral Arterial Disease in Elderly Patients with Type 2 Diabetes

BACKGROUND

Peripheral artery disease (PAD) is a manifestation of atherosclerotic cardiovascular disease (ASCVD) and significantly increases the risk of myocardial infarction and stroke. As most patients with PAD are asymptomatic, this condition is largely neglected in clinical practice. Type 2 diabetes (T2DM) patients have higher prevalence of PAD. Therefore, early detection and intervention of diabetic PAD are very important. Metabolic syndrome (MetS) is a group of interrelated metabolic risk factors, a predictor of poor prognosis in elderly patients with ASCVD. Recently, many of the metabolic risk factors as well as the overall concept of MetS itself have sparked a great deal of debate regarding their precise roles in PAD.

OBJECTIVE

To evaluate the relationship between metabolic syndrome (MetS) and peripheral arterial disease (PAD) in elderly patients with type 2 diabetes (T2DM).

METHODS

Two hundred and eighty-one elderly T2DM patients admitted to Beijing Tongren Hospital from October 2016 to December 2017 were divided into PAD group (n=136) and non-PAD (NPAD) group (n=145). Their medical records, physical examination parameters and laboratory testing parameters were later recorded and analyzed by multivariate logistic regression analysis.

RESULTS

No significant difference was detected in general clinical data and laboratory testing parameters between the two groups (P>0.05). The incidence of MetS was significantly higher in PAD group than in NPAD group (88.2% vs 70.3%, P=0.001). Multivariate logistic regression analysis showed that the risk of PAD was 1.762-fold higher in MetS patients after adjustment for age, sex, history of smoking and alcohol consumption, WC, SBP, serum TC and HbA1c level, eGFR and duration of DM (95% CI: 1.205-6.330, P=0.016).

CONCLUSION

MetS closely correlates with PAD in elderly T2DM patients, though no significant difference has been detected in their metabolic indicators.

Sex-influenced association of metabolic syndrome with lower extremity arterial disease in type 2 diabetes

AIM

The present study is undertaken to investigate the relationship between metabolic syndrome (MS) and lower extremity arterial disease (LEAD) in type 2 diabetes mellitus (T2DM) patients.

METHODS

A multi-center cross-sectional study was conducted on 8374 T2DM patients (4521 males and 3853 females) from 30 hospitals across China from June 2016 to January 2017. The odds ratios (ORs) and 95% confidence intervals (CIs) were presented to show the association between MS and LEAD. The univariate and multiple logistic analyses were performed to examine the association between MS and the prevalence of LEAD. Furthermore, the relationship was analyzed in different sex groups. Subgroup analysis was performed based on the number and individual of MS components.

RESULTS

Finally, 1809(21.60%) T2DM patients meet the diagnostic criteria of LEAD. Of the 3853 female subjects, 841(21.83%) patients were in the LEAD group and of the 4521 male subjects, 968(21.41%) patients were in the LEAD group. When adjusting for confounding variables, MS was significantly associated with the prevalence of LEAD in all enrolled T2DM patients (OR = 1.22, 95%CI: 1.09-1.37, P = 0.001). However, upon analyzing LEAD in different sex groups, the significant association remained in females (OR = 1.33, 95%CI: 1.12-1.58, P < 0.001), but not in males (OR = 1.11, 95%CI: 0.95-1.29, P = 0.202).

CONCLUSIONS

Our results suggest that MS is specifically associated with an increased risk of LEAD in female T2DM patients. However, MS may not be a significant factor in the prevalence of LEAD in male T2DM patients.

Peripheral Artery Disease and Venous Thromboembolic Events After Acute Coronary Syndrome: Role of Lipoprotein(a) and Modification by Alirocumab: Prespecified Analysis of the ODYSSEY OUTCOMES Randomized Clinical Trial

Supplemental Digital Content is available in the text.

Patients with acute coronary syndrome are at risk for peripheral artery disease (PAD) events and venous thromboembolism (VTE). PCSK9 (proprotein convertase subtilisin/kexin type 9) inhibitors reduce lipoprotein(a) and low-density lipoprotein cholesterol (LDL-C) levels. Our objective was to ascertain whether PCSK9 inhibition reduces the risk of PAD events or VTE after acute coronary syndrome, and if such effects are related to levels of lipoprotein(a) or LDL-C.

Heart Disease and Stroke Statistics-2020 Update: A Report From the American Heart Association

BACKGROUND

The American Heart Association, in conjunction with the National Institutes of Health, annually reports on the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2020 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population, metrics to assess and monitor healthy diets, an enhanced focus on social determinants of health, a focus on the global burden of cardiovascular disease, and further evidence-based approaches to changing behaviors, implementation strategies, and implications of the American Heart Association's 2020 Impact Goals.

RESULTS

Each of the 26 chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policy makers, media professionals, clinicians, healthcare administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Spot Urine Sodium-to-Potassium Ratio Is a Predictor of Stroke

Background and Purpose- Dietary sodium reduction with concurrent increase in potassium intake is a current public health priority to reduce risk of cardiovascular events. This study explored associations between the spot urine sodium-to-potassium ratio and cardiovascular events in the MESA (Multi-Ethnic Study of Atherosclerosis) longitudinal cohort. Methods- The MESA is a prospective cohort study of 6814 adults from 4 ethnic groups (European-, Asian-, African- and Hispanic-American) with a mean age of 62 (±10.2) years and an average of 11.7 (±2.2) years of follow-up. Participants were free of clinical cardiovascular disease at baseline. Spot urine sodium and potassium excretion, as a marker of dietary intake, was collected at baseline. The impact of urinary sodium-to-potassium ratio on adjudicated cardiovascular events was assessed using Cox proportional hazards models. Results- Only 39% of MESA participants had a urinary sodium-to-potassium ratio ≤1, and these participants experienced only 74 of the 236 strokes. A sodium-to-potassium ratio >1 was associated with a hazard ratio of 1.47 (95% CI,1.07-2.00) for risk of stroke, adjusting for age, sex, race, cardiovascular risk factors, socio-demographic characteristics, body size, and kidney function. Conclusions- The spot urine sodium-to-potassium ratio (measurable in routine care) is associated with stroke. A urine sodium-to-potassium ratio of ≤1, may be related to a clinically relevant reduction in stroke risk and is a feasible target for health interventions.

GlycA, a Novel Inflammatory Marker and Its Association With Peripheral Arterial Disease and Carotid Plaque: The Multi-Ethnic Study of Atherosclerosis

GlycA, a composite biomarker of systemic inflammation, is associated with cardiovascular disease (CVD) and mortality, but its relationship with peripheral artery disease (PAD) is unknown. We assessed whether plasma GlycA is associated with ankle-brachial index (ABI), carotid plaque (CP), and incident clinical PAD among 6466 Multi-Ethnic Study of Atherosclerosis participants without CVD at baseline. GlycA, ABI, and CP were measured at baseline. Both ABI and CP were remeasured at 10 years. Incident clinical PAD was ascertained from hospital records. We used logistic, Cox, and linear mixed regression models adjusted for demographic and lifestyle factors. Mean (standard deviation, SD) was 62 (10) years for age and 381 (61) µmol/L for GlycA; 53% were women. GlycA was associated with both prevalent low ABI ≤0.8 (prevalence odds ratio [95% confidence interval, CI] per SD increment in GlycA, 1.65 [1.39-1.97]) and CP (1.19 [1.11-1.27]) at baseline. There were no significant associations of GlycA with incident low ABI, incident CP, or 10-year change in ABI or CP score. We identified 110 incident cases of PAD after 79 590 person-years. The hazard ratio (95% CI) of incident PAD per SD increment in GlycA was 1.38 (1.14-1.66). In conclusion, GlycA was associated with prevalent low ABI, prevalent CP, and incident PAD after a median of 14 years.

Decline in ankle-brachial index is stronger in poorly than in well controlled diabetes: Results from the Heinz Nixdorf Recall cohort study

BACKGROUND AND AIMS

The ankle-brachial index (ABI) is a marker of atherosclerosis and a diagnostic criterion for peripheral arterial disease (PAD). We studied the association between HbA1c and ABI in subjects with and without diabetes.

METHODS

In the Heinz Nixdorf Recall Study, a population-based cohort study in Germany (N = 4,814, age 45-75 years), ABI was measured at baseline, at 5- and 10-year follow-up. Subjects with ABI <0.9, ABI >1.4 or self-reported PAD at baseline were excluded from analyses. In 3199 participants, we assessed associations between HbA1c and incident PAD (ABI < 0.9) and change in ABI, respectively, using logistic and linear regression models. Subjects without diabetes, with HbA1c < 5.7% were used as reference group.

RESULTS

Compared to the reference group, 10-year decline in ABI was -0.066 (95% confidence interval: -0.117; -0.016) and -0.021 (-0.063; 0.021) in subjects with poorly (≥7.0% HbA1c) and well (<7.0% HbA1c) controlled previously known diabetes; -0.010 (-0.054; 0.034) in those with newly detected diabetes diagnosed by HbA1c ≥ 6.5%, and -0.005 (-0.023; 0.013) in those without diabetes, with HbA1c 5.7-6.4%. For poorly controlled diabetes, odds ratios for low ABI (<0.9) were 3.5 (1.6-7.9), and 3.1 (1.3-7.0) after 5- and 10-year follow-up, respectively. The incidence of Mönckeberg disease (ABI > 1.4) was low (6/288 (2.4%) over 5 years).

CONCLUSIONS

Decline in ABI was stronger in poorly than well-controlled diabetes. Subjects with newly detected diabetes diagnosed by the new HbA1c criterion (≥6.5%) did not show an increased decline in ABI over 10 years.

Metabolic Syndrome Augments the Risk of Early Neurological Deterioration in Acute Ischemic Stroke Patients Independent of Inflammatory Mediators: A Hospital-Based Prospective Study

Background and Aims. Metabolic syndrome (MetS) has been associated with occurrence and prognosis of ischemic stroke. This study aimed to evaluate whether an association exists between MetS and early neurological deterioration (END) following acute ischemic stroke and the possible role inflammatory biomarkers play. Methods and Results. We conducted a prospective cohort investigation that involved 208 stroke patients within 48 hours from symptom onset. MetS was determined by the modified National Cholesterol Education Program/Adult Treatment Panel III criteria. END was defined as an increase of ⩾1 point in motor power or ⩾2 points in the total National Institutes of Health Stroke Scale (NIHSS) score within 7 days. Univariate logistic regression analysis showed that patients with MetS had a 125% increased risk of END (OR 2.25; 95% CI 1.71–4.86, P = 0.005). After adjustment for fibrinogen and high-sensitivity C-reactive protein, MetS remained significantly correlated to END (OR 2.20; 95% CI 1.10–4.04, P = 0.026) with a 77% elevated risk per additional MetS trait (OR 1.77; 95% CI 1.23–2.58, P = 0.002). Conclusions. This study demonstrated that MetS may be a potential predictor for END after ischemic stroke, which was independent of raised inflammatory mediators.