Multiple Blood Biomarkers and Stroke Risk in Atrial Fibrillation: The REGARDS Study

Association of Blood Biomarkers Cell-Free DNA (cfDNA) and High-Sensitivity C-Reactive Protein (hsCRP) With Stroke Severity and Outcome: A Prospective Observational Study

Background Stroke remains a leading cause of disability and mortality worldwide, with a rising incidence in India. Early identification of patients at risk for severe stroke and poor outcomes is crucial for timely intervention. Despite advancements, current diagnostic tools lack sufficient sensitivity and specificity for early prognostic stratification. Emerging evidence highlights cell-free DNA (cfDNA), a marker of cellular injury, and high-sensitivity C-reactive protein (hsCRP), an inflammatory marker, as promising candidates. These biomarkers were selected over others due to their robust association with tissue damage and inflammation, two pivotal mechanisms in stroke pathophysiology. This study aimed to assess the prognostic value of cfDNA and hsCRP in acute ischemic stroke patients and their association with stroke severity and outcomes. Methods This prospective observational study included 54 acute ischemic stroke patients admitted within 12 hours of symptom onset. Clinical assessments were performed using the National Institutes of Health Stroke Scale (NIHSS) at admission and the modified Rankin Scale (mRS) at three months to evaluate stroke severity and outcomes. Blood samples were collected to measure cfDNA and hsCRP levels. Correlation analyses were conducted to evaluate the association between biomarkers and stroke severity (NIHSS) and outcomes (mRS). Receiver operating characteristic (ROC) curve analysis determined optimal biomarker thresholds and logistic regression analysis identified independent predictors of poor neurological outcomes (mRS ≥ 3). Results The median age of the cohort was 61 years, with a mean of 61.6 ± 16.1 years, and 68.5% were male. cfDNA showed significant correlations with NIHSS (ρ = 0.222, p = 0.040) and mRS (ρ = 0.396, p = 0.002), while hsCRP correlated with NIHSS (ρ = 0.354, p = 0.001) and mRS (ρ = 0.328, p = 0.010). ROC analysis identified cfDNA (>10,000 kilogenome equivalents/L) and hsCRP (>6 mg/L) as predictive thresholds for severe stroke and poor outcomes, with area under the curve (AUC) values of 0.79 and 0.71, respectively. Logistic regression indicated age > 60 years (OR 1.45, p = 0.041), cfDNA > 10,000 (OR 3.12, p = 0.027), hsCRP > 6 mg/L (OR 2.75, p = 0.039), and higher NIHSS (OR 1.23, p = 0.042) as significant predictors of poor neurological outcomes. These thresholds can guide early interventions, and the modest correlation coefficients reflect the multifactorial nature of stroke. This study uniquely proposes predictive thresholds for cfDNA and hsCRP in an Indian cohort, adding to the existing evidence on their clinical utility. Conclusion The study demonstrates that elevated cfDNA and hsCRP levels are significantly associated with stroke severity and poor outcomes in acute ischemic stroke patients. These biomarkers, alongside age and NIHSS score at admission, may serve as valuable tools in predicting prognosis and guiding early therapeutic interventions in stroke management. Future research should focus on evaluating the cost-effectiveness, feasibility, and integration of these biomarkers into routine clinical practice to optimize stroke care.

2025 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association

BACKGROUND

The American Heart Association (AHA), 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, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2025 AHA Statistical Update is the product of a full year's worth of effort in 2024 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. This year's edition includes a continued focus on health equity across several key domains and enhanced global data that reflect improved methods and incorporation of ≈3000 new data sources since last year's Statistical Update.

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.

Six-year change in high-sensitivity cardiac troponin T with subsequent stroke risk in the general population

BACKGROUND

The association between change in high-sensitivity cardiac troponin T (hs-cTnT) and stroke risk in the general population remains unknown. We aimed to assess the association of a 6-year change in hs-cTnT with incident stroke and its subtypes in the general American adult population.

METHODS

8675 middle-aged adults without prevalent cardiovascular disease from the Atherosclerosis Risk in Communities study were included. Hs-cTnT was measured at two time points (visits 2 and 4), 6 years apart. The relative percentage change of hs-cTnT was defined as hs-cTnT at visit 4 minus that at visit 2, divided by hs-cTnT at visit 2. The study outcome was incident stroke and its subtypes. All data were analysed in 2023.

RESULTS

Over a median follow-up of 20.1 years, 682 incident strokes occurred, including 593 ischaemic and 89 haemorrhagic strokes. For absolute change, using low/low group as reference category, the low/high (adjusted HR 1.44, 95% CI 1.03 to 2.02) and high/high (adjusted HR 1.47, 95% CI 0.93 to 2.34) groups were associated with higher risk of stroke. Moreover, the relative percentage change in hs-cTnT with stroke followed an inverted L-shaped association, levelling off at about 75% increase in hs-cTnT (P for nonlinearity=0.009). Compared with those with ≤50% change in hs-cTnT, participants with >50% increase in hs-cTnT had a higher risk of stroke (adjusted HR 1.30, 95% CI 1.03 to 1.64). Similar results were found for ischaemic stroke. No significant association was found for haemorrhagic stroke.

CONCLUSION

Temporal increase in hs-cTnT was associated with a higher risk of incident total and ischaemic stroke in the general population.

Forecasting Atrial Fibrillation: The Predictive Power of N-terminal Prohormone of Brain Natriuretic Peptide in a Five-Year Study

Introduction Atrial fibrillation (AF) is a major global health concern, and early prediction is essential for managing high-risk individuals. N-terminal prohormone of brain natriuretic peptide (NT-proBNP) has emerged as a crucial biomarker for predicting AF. While most studies have concentrated on cohorts already diagnosed with AF or other cardiac diseases, this research investigates the predictive value of NT-proBNP for AF development in a population without prior AF diagnosis. Methods and materials A five-year prospective observational study was conducted on 4090 individuals aged 45 to 75 with no previous diagnosis of AF. Baseline demographic characteristics, comorbid conditions, cardiac-specific measures, and NT-proBNP levels were systematically recorded. The primary endpoint was the onset of AF, confirmed through annual 12-lead ECG or 24-hour Holter monitoring. Univariate and multivariate analyses identified factors associated with AF onset. Results Out of the total population, 16.6% (679 individuals) developed AF. Notably, increased NT-proBNP levels (P=0.001), older age (P=0.001), and hypertension (P=0.001) were significantly associated with the onset of AF. The mean NT-proBNP levels in the AF group were significantly higher than in the non-AF group (P<0.001). The AF group also showed a higher mean age and a greater prevalence of hypertension (P<0.001 for both). Conclusion This study confirms the predictive value of NT-proBNP for AF onset in a non-AF population, highlighting older age and hypertension as significant risk factors for AF development. The findings underscore the potential of NT-proBNP not only as a predictive biomarker but also as a therapeutic target. These insights emphasize the potential role of NT-proBNP in early intervention and management strategies for AF, suggesting that future research should include additional variables, such as lifestyle factors and genetic predisposition, in assessing AF risk.

2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association

BACKGROUND

The American Heart Association (AHA), 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, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA 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 global data, 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.

Discovery of TBX20 as a Novel Gene Underlying Atrial Fibrillation

Atrial fibrillation (AF), the most prevalent type of sustained cardiac dysrhythmia globally, confers strikingly enhanced risks for cognitive dysfunction, stroke, chronic cardiac failure, and sudden cardiovascular demise. Aggregating studies underscore the crucial roles of inherited determinants in the occurrence and perpetuation of AF. However, due to conspicuous genetic heterogeneity, the inherited defects accounting for AF remain largely indefinite. Here, via whole-genome genotyping with genetic markers and a linkage assay in a family suffering from AF, a new AF-causative locus was located at human chromosome 7p14.2-p14.3, a ~4.89 cM (~4.43-Mb) interval between the markers D7S526 and D7S2250. An exome-wide sequencing assay unveiled that, at the defined locus, the mutation in the TBX20 gene, NM_001077653.2: c.695A>G; p.(His232Arg), was solely co-segregated with AF in the family. Additionally, a Sanger sequencing assay of TBX20 in another family suffering from AF uncovered a novel mutation, NM_001077653.2: c.862G>C; p.(Asp288His). Neither of the two mutations were observed in 600 unrelated control individuals. Functional investigations demonstrated that the two mutations both significantly reduced the transactivation of the target gene KCNH2 (a well-established AF-causing gene) and the ability to bind the promoter of KCNH2, while they had no effect on the nuclear distribution of TBX20. Conclusively, these findings reveal a new AF-causative locus at human chromosome 7p14.2-p14.3 and strongly indicate TBX20 as a novel AF-predisposing gene, shedding light on the mechanism underlying AF and suggesting clinical significance for the allele-specific treatment of AF patients.

L1 cell adhesion molecule may be a protective molecule for atrial fibrillation in patients with valvular heart disease

Background

Atrial fibrillation (AF) is the most prevalent sustained arrhythmia. L1 cell adhesion molecule (L1CAM) served as a crucial regulator of signaling pathways. This research sought to examine the clinical value and functions of soluble L1CAM in the serum of AF patients.

Methods

In total, 118 patients (valvular heart disease patients [VHD, total: n = 93; AF: n = 47; sinus rhythm (SR): n = 46] and healthy controls [n = 25]) were recruited in this retrospective study. Plasma levels of L1CAM were detected by enzyme-linked immunosorbent assays. The Pearson's correlation approach, as applicable, was used for analyzing the correlations. The L1CAM was shown to independently serve as a risk indicator of AF in VHD after being analyzed by the multivariable logistic regression. To examine the specificity and sensitivity of AF, receiver operating characteristic (ROC) curves and the area under the curve (AUC) were used. A nomogram was developed for the visualisation of the model. We further evaluate the prediction model for AF using calibration plot and decision curve analysis.

Results

The plasma level of L1CAM was substantially decreased in AF patients as opposed to healthy control and SR patients (healthy control = 46.79 ± 12.55 pg/ml, SR = 32.86 ± 6.11 pg/ml, AF = 22.48 ± 5.39 pg/ml; SR vs. AF, P < 0.001; control vs. AF, P < 0.001). L1CAM was significantly and negatively correlated with LA and NT-proBNP (LA: r = -0.344, P = 0.002; NT-proBNP: r = -0.380, P = 0.001). Analyses using logistic regression showed a substantial correlation between L1CAM and AF in patients with VHD (For L1CAM, Model 1: OR = 0.704, 95%CI = 0.607-0.814, P < 0.001; Model 2: OR = 0.650, 95% CI = 0.529-0.798, P < 0.001; Model 3: OR = 0.650, 95% CI = 0.529-0.798, P < 0.001). ROC analysis showed that inclusion of L1CAM in the model significantly improved the ability of other clinical indicators to predict AF. The predictive model including L1CAM, LA, NT-proBNP and LVDd had excellent discrimination and a nomogram was developed. The model had good the calibration and clinical utility.

Conclusion

L1CAM was shown to independently serve as a risk indicator for AF in VHD. In AF patients with VHD, the prognostic and predictive effectiveness of models incorporating L1CAM was satisfactory. Collectively, L1CAM may be a protective molecule for atrial fibrillation in patients with valvular heart disease.

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.

Value of N-Terminal Pro-Brain Natriuretic Peptide for Embolic Events Risk Prediction in Patients with Atrial Fibrillation; a Systematic Review and Meta-Analysis

INTRODUCTION

A comprehensive conclusion has yet to be made about the predictive value of serum N-terminal pro-brain natriuretic peptide (NT-proBNP) for stroke/systemic embolic events (SEE) in patients with atrial fibrillation (AF). This study aims to review the evidence for evaluating the value of NT-proBNP in predicting the risk of stroke/SEE in patients with AF through a systematic review and meta-analysis.

METHOD

Two independent reviewers screened all relevant studies that were retrieved from the database of Medline, Embase, Scopus, and Web of Science until December 7th, 2021. The predictive value of NT-proBNP in the prediction of stroke/SEE was recorded as hazard ratio (HR) and 95% confidence interval (95% CI).

RESULTS

Nine articles (38,093 patients, 3.10% stroke/SEE) were included in our analysis. There was no publication bias in these studies (P=0.320). Our analysis showed that NT-proBNP can be a good predictor of stroke/SEE risk in AF patients, even at different cut-off values (HR=1.76; 95% CI: 1.51, 2.02; P < 0.001). Subgroup analysis showed that diabetes could have a possible effect on the predictive value of NT-proBNP (meta-regression coefficient = 0.042; P = 0.037).

CONCLUSION

Measurement of NT-proBNP during the first admission could be used to assess the short- or long-term risk of stroke/SEE in patients with AF. Further studies are needed to evaluate the possible applicability of serum NT-proBNP measurement in the settings in which stroke is the sole outcome of the investigation.