Impact of Atrial Natriuretic Peptide Value for Predicting Paroxysmal Atrial Fibrillation in Ischemic Stroke Patients

Biomarkers for the detection of covert atrial fibrillation after ischemic stroke: NT-proBNP or BNP?

BACKGROUND

Atrial fibrillation often leads to ischemic stroke. For secondary prevention, clinicians typically switch from antiplatelet to anticoagulant therapy for patients with confirmed atrial fibrillation. This study examined the predictive value of N-terminal pro-brain natriuretic peptide (NT-proBNP) and brain natriuretic peptide (BNP) for detecting covert paroxysmal atrial fibrillation (PAF) in patients with ischemic stroke (PWIS).

METHODS

We enrolled 438 patients with acute stroke in sinus rhythm on admission from July 2021 to March 2023 and measured their NT-proBNP and BNP levels to evaluate their association with PAF detection. Data analysis included logistic regression, receiver operating characteristic curves, and integrated discrimination improvement (IDI).

RESULTS

Among our 438 enrolled participants, 43 (9.8%) were in the PAF group and the remaining were in the non-PAF group. PAF group patients were older than those in the non-PAF group (PAF group vs. non-PAF group; 84 [78-89] vs. 79 [71-85] years) and had higher levels of both NT-proBNP (581.0 [264.5-1,234.5] vs. 168.0 [76.0-412.5] pg/mL) and BNP (186.0 [100.4-313.0] vs. 56.4 [26.9-118.0] pg/mL). The PAF group also had a higher prevalence of chronic heart failure (30% vs. 10%). Both biomarkers were independent predictors of PAF detection, and there was no significant difference in their predictive accuracy for PAF. However, BNP had a slight advantage in the IDI score over NT-proBNP (-0.03 [-0.05 to -0.01]).

CONCLUSION

NT-proBNP and BNP can both effectively predict covert PAF in PWIS in sinus rhythm. Thus, either biomarker should be incorporated into treatment planning strategies for these patients.

Atrial Natriuretic Peptides as a Bridge between Atrial Fibrillation, Heart Failure, and Amyloidosis of the Atria

ANP is mainly synthesized by the atria, and upon excretion, it serves two primary purposes: vasodilation and increasing the renal excretion of sodium and water. The understanding of ANP's role in cardiac systems has improved considerably in recent decades. This review focuses on several studies demonstrating the importance of analyzing the regulations between the endocrine and mechanical function of the heart and emphasizes the effect of ANP, as the primary hormone of the atria, on atrial fibrillation (AF) and related diseases. The review first discusses the available data on the diagnostic and therapeutic applications of ANP and then explains effect of ANP on heart failure (HF) and atrial fibrillation (AF) and vice versa, where tracking ANP levels could lead to understanding the pathophysiological mechanisms operating in these diseases. Second, it focuses on conventional treatments for AF, such as cardioversion and catheter ablation, and their effects on cardiac endocrine and mechanical function. Finally, it provides a point of view about the delayed recovery of cardiac mechanical and endocrine function after cardioversion, which can contribute to the occurrence of acute heart failure, and the potential impact of restoration of the sinus rhythm by extensive ablation or surgery in losing ANP-producing sites. Overall, ANP plays a key role in heart failure through its effects on vasodilation and natriuresis, leading to a decrease in the activity of the renin-angiotensin-aldosterone system, but it is crucial to understand the intimate role of ANP in HF and AF to improve their diagnosis and personalizing the patients' treatment.

Initial In-Hospital Visit-to-Visit Heart Rate Variability Is Associated with Higher Risk of Atrial Fibrillation in Patients with Acute Ischemic Stroke

BACKGROUND

To evaluate the association between the visit-to-visit heart rate variability and the risk of atrial fibrillation (AF) in acute ischemic stroke (AIS).

METHODS

We analyzed the data of 8179 patients with AIS. Patients without AF on 12-lead electrocardiography underwent further 24 h Holter monitoring. They were categorized into four subgroups according to the visit-to-visit heart rate variability expressed as the coefficient of variation in heart rate (HR-CV). Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using the HR-CV < 0.08 subgroup as a reference.

RESULTS

The adjusted OR of paroxysmal AF was 1.866 (95% CI = 1.205-2.889) for the HR-CV ≥ 0.08 and <0.10 subgroup, 1.889 (95% CI = 1.174-3.038) for the HR-CV ≥ 0.10 and <0.12 subgroup, and 5.564 (95% CI = 3.847-8.047) for the HR-CV ≥ 0.12 subgroup. The adjusted OR of persistent AF was 2.425 (95% CI = 1.921-3.062) for the HR-CV ≥ 0.08 and <0.10 subgroup, 4.312 (95% CI = 3.415-5.446) for the HR-CV ≥ 0.10 and <0.12 subgroup, and 5.651 (95% CI = 4.586-6.964) for the HR-CV ≥ 0.12 subgroup.

CONCLUSIONS

HR-CV can facilitate the identification of patients with AIS at a high risk of paroxysmal AF.

Prognostic Value of Novel Natriuretic Peptide Index After Percutaneous Coronary Intervention

BACKGROUND

The predictive value of both atrial natriuretic peptide (ANP) and B-type natriuretic peptide (BNP) is well known. This study evaluated the prognostic value of a novel natriuretic peptide index (NPI) combining ANP and BNP.

METHODS AND RESULTS

This study included 849 consecutive patients with coronary artery disease who underwent successful percutaneous coronary intervention (PCI). Patients were followed up clinically for up to 3 years or until the occurrence of major adverse cardiac events (MACE). The primary endpoint was a composite of all-cause death and non-fatal myocardial infarction. The NPI (pg/mL) was defined as √ANP×BNP. MACE occurred in 73 patients (8.6%) during the follow-up period. Receiver operating characteristic curve analysis showed the highest area under the curve for NPI (0.779) compared with ANP and BNP (0.773 and 0.755, respectively). A risk analysis of MACE occurrence adjusted for the multivariable model showed the highest hazard ratio (HR) for NPI (1.33; 95% confidence interval [CI] 1.18-1.51; P<0.001) compared with ANP and BNP (HR 1.25 [95% CI 1.13-1.39] and 1.30 [95% CI 1.13-1.49], respectively; P<0.001). The NPI was a significant independent predictor of MACE, among other clinical parameters, in the multivariable analysis.

CONCLUSIONS

Compared with ANP and BNP, the NPI was more effective in predicting future adverse events after PCI.

Development and Validation of a Novel Score for Predicting Paroxysmal Atrial Fibrillation in Acute Ischemic Stroke

Atrial fibrillation (AF)-whether paroxysmal or sustained-increases the risk of stroke. We developed and validated a risk score for identifying patients at risk of paroxysmal atrial fibrillation (pAF) after acute ischemic stroke (AIS). A total of 6033 patients with AIS who received 24 h Holter monitoring were identified in the Chang Gung Research Database. Among the identified patients, 5290 with pAF and without AF were included in the multivariable logistic regression analysis to develop the pAF prediction model. The ABCD-SD score (Age, Systolic Blood pressure, Coronary artery disease, Dyslipidemia, and Standard Deviation of heart rate) comprises age (+2 points for every 10 years), systolic blood pressure (-1 point for every 20 mmHg), coronary artery disease (+2 points), dyslipidemia (-2 points), and standard deviation of heart rate (+2 points for every 3 beats per minute). Overall, 5.2% (274/5290) of patients had pAF. The pAF risk ranged from 0.8% (ABCD-SD score ≤ 7) to 18.3% (ABCD-SD score ≥ 15). The model achieved an area under the receiver operating characteristic curve (AUROCC) of 0.767 in the model development group. The ABCD-SD score could aid clinicians in identifying patients with AIS at risk of pAF for advanced cardiac monitoring.

MR-proANP measured at admission is associated with incident atrial fibrillation in STEMI patients

Atrial fibrillation (AF) is common following ST-segment elevation myocardial infarction (STEMI). Increased blood levels of mid regional pro atrial natriuretic peptide (MR-proANP) have been associated with a greater risk of incident AF. However, knowledge of the value of MR-proANP in predicting incident AF after STEMI is sparse. To assess whether MR-proANP measured at admission is associated with development of incident AF in patients with STEMI. 673 STEMI patients with no history of AF treated with primary percutaneous coronary intervention (pPCI) were prospectively enrolled from September 2006 to December 2008. Blood samples were drawn before the procedure. MR-proANP was measured by an automated processing assay. End point was incident AF. Median follow-up time was 5.5 years (interquartile-range 4.7-6.0), during which 63 patients developed AF. In a multivariable Cox regression model adjusted for relevant clinical and biochemical variables, MR-proANP was significantly associated with the development of AF (HR 1.18 per 100 pmol, 95% CI 1.11-1.28, p < 0.001). In a subgroup of patients who underwent echocardiography (N = 360), MR-proANP remained significantly associated with the development of AF (HR 1.39 per 100 pmol, 95% CI 1.13-1.71, p = 0.002) after adjusting for clinical and biochemical variables and left ventricular ejection fraction. When stratifying patients according to tertiles of MR-proANP, patients in the upper tertile displayed an 11 times greater risk of developing AF during follow-up as compared to patients in the lower tertile (HR 11.1, 95% CI 4.4-28.2, p < 0.001). Plasma MR-proANP measured at admission is an independent predictor of incident AF after STEMI.

Differences between Atrial Fibrillation Detected before and after Stroke and TIA: A Systematic Review and Meta-Analysis

BACKGROUND

Preliminary evidence suggests that patients with atrial fibrillation (AF) detected after stroke (AFDAS) may have a lower prevalence of cardiovascular comorbidities and lower risk of stroke recurrence than AF known before stroke (KAF).

OBJECTIVE

We performed a systematic search and meta-analysis to compare the characteristics of AFDAS and KAF.

METHODS

We searched PubMed, Scopus, and EMBASE for articles reporting differences between AFDAS and KAF until June 30, 2021. We performed random- or fixed-effects meta-analyses to evaluate differences between AFDAS and KAF in demographic factors, vascular risk factors, prevalent vascular comorbidities, structural heart disease, stroke severity, insular cortex involvement, stroke recurrence, and death.

RESULTS

In 21 studies including 22,566 patients with ischemic stroke or transient ischemic attack, the prevalence of coronary artery disease, congestive heart failure, prior myocardial infarction, and a history of cerebrovascular events was significantly lower in AFDAS than KAF. Left atrial size was smaller, and left ventricular ejection fraction was higher in AFDAS than KAF. The risk of recurrent stroke was 26% lower in AFDAS than in KAF. There were no differences in age, sex, stroke severity, or death rates between AFDAS and KAF. There were not enough studies to report differences in insular cortex involvement between AF types.

CONCLUSIONS

We found significant differences in the prevalence of vascular comorbidities, structural heart disease, and stroke recurrence rates between AFDAS and KAF, suggesting that they constitute different clinical entities within the AF spectrum. PROSPERO registration number is CRD42020202622.

Biomarkers for Atrial Fibrillation Detection After Stroke: Systematic Review and Meta-analysis

BACKGROUND AND OBJECTIVE

To identify clinical, ECG, and blood-based biomarkers associated with atrial fibrillation (AF) detection after ischaemic stroke or TIA that could help inform patient selection for cardiac monitoring.

METHODS

We performed a systematic review and meta-analysis and searched electronic databases for cohort studies from January 15, 2000, to January 15, 2020. The outcome was AF ≥30 seconds within 1 year after ischemic stroke/TIA. We used random effects models to create summary estimates of risk. Risk of bias was assessed using the Quality in Prognostic Studies tool.

RESULTS

We identified 8,503 studies, selected 34 studies, and assessed 69 variables (42 clinical, 20 ECG, and 7 blood-based biomarkers). The studies included 11,569 participants and AF was detected in 1,478 (12.8%). Overall, risk of bias was moderate. Variables associated with increased likelihood of AF detection are older age (odds ratio [OR] 3.26, 95% confidence interval [CI] 2.35-4.54), female sex (OR 1.47, 95% CI 1.23-1.77), a history of heart failure (OR 2.56, 95% CI 1.87-3.49), hypertension (OR 1.42, 95% CI 1.15-1.75) or ischemic heart disease (OR 1.80, 95% CI 1.34-2.42), higher modified Rankin Scale (OR 6.13, 95% CI 2.93-12.84) or National Institutes of Health Stroke Scale score (OR 2.50, 95% CI 1.64-3.81), no significant carotid/intracranial artery stenosis (OR 3.23, 95% CI 1.14-9.11), no tobacco use (OR 1.93, 95% CI 1.48-2.51), statin therapy (OR 2.07, 95% CI 1.14-3.73), stroke as index diagnosis (OR 1.59, 95% CI 1.17-2.18), systolic blood pressure (OR 1.61, 95% CI 1.16-2.22), IV thrombolysis treatment (OR 2.40, 95% CI 1.83-3.16), atrioventricular block (OR 2.12, 95% CI 1.08-4.17), left ventricular hypertrophy (OR 2.21, 95% CI 1.03-4.74), premature atrial contraction (OR 3.90, 95% CI 1.74-8.74), maximum P-wave duration (OR 3.19, 95% CI 1.40-7.25), PR interval (OR 2.32, 95% CI 1.11-4.83), P-wave dispersion (OR 7.79, 95% CI 4.16-14.61), P-wave index (OR 3.44, 95% CI 1.87-6.32), QTc interval (OR 3.68, 95% CI 1.63-8.28), brain natriuretic peptide (OR 13.73, 95% CI 3.31-57.07), and high-density lipoprotein cholesterol (OR 1.49, 95% CI 1.17-1.88) concentrations. Variables associated with reduced likelihood are minimum P-wave duration (OR 0.53, 95% CI 0.29-0.98), low-density lipoprotein cholesterol (OR 0.73, 95% CI 0.57-0.93), and triglyceride (OR 0.51, 95% CI 0.41-0.64) concentrations.

DISCUSSION

We identified multimodal biomarkers that could help guide patient selection for cardiac monitoring after ischaemic stroke/TIA. Their prognostic utility should be prospectively assessed with AF detection and recurrent stroke as outcomes.

BNP combined with echocardiographic parameters to predict the risk of cardioembolic stroke

BACKGROUND

Previous studies have found that BNP and some indicators of cardiac structure and function are closely associated with atrial fibrillation, so we aim to investigate the potential role of BNP and echocardiographic parameters to identify the acute ischemic stroke with atrial fibrillation patients who have high risks of cardioembolic stroke based on it.

METHODS

436 AIS patients were divided into an AF group and non-AF group on the basis of the electrocardiogram and Holter results. Then we compared vascular risk factors, laboratory test indicators, and echocardiographic parameters among different groups.

RESULTS

AIS with AF group had significantly higher age, CHD, previous medication, creatinine, d-dimer, fibrinogen, CRP, BNP, LAD, LVDd, LVDs and lower cholesterol, triglyceride, LDL and ejection fraction than the non-AF group (P < 0.05). Increased BNP, LAD, LVDd, LVDs and ejection fraction reduction were independent risk factors to predict cardioembolic stroke. BNP and LAD could be the two most effective indicators of the high risk of cardioembolic stroke. The area under the curve (AUC) of BNP and LAD were 0.791 [95%CI (0.743-0.838), p < 0.001), 0.786 [95%CI (0.739-0.833), p < 0.001]. The combined score we designed improved the prediction effect of single-indicator. The AUC of it was 0.822 with a sensitivity of 69.5% and specificity of 83.9%.There was an apparent positive correlation between BNP and LAD in AIS patients (r = 0.327, P < 0.001).

CONCLUSION

BNP combined with echocardiographic parameters has outstanding value to predict the risk of cardioembolic stroke, especially for BNP and LAD.

Promising Biomarker Candidates for Cardioembolic Stroke Etiology. A Brief Narrative Review and Current Opinion

Determining the cause of stroke is considered one of the main objectives in evaluating a stroke patient in clinical practice. However, ischemic stroke is a heterogeneous disorder and numerous underlying disorders are implicated in its pathogenesis. Although progress has been made in identifying individual stroke etiology, in many cases underlying mechanisms still remain elusive. Since secondary prevention strategies are tailored toward individual stroke mechanisms, patients whose stroke etiology is unknown may not receive optimal preventive treatment. Cardioembolic stroke is commonly defined as cerebral vessel occlusion by distant embolization arising from thrombus formation in the heart. It accounts for the main proportion of ischemic strokes, and its share to stroke etiology is likely to rise even further in future decades. However, it can be challenging to distinguish cardioembolism from other possible etiologies. As personalized medicine advances, stroke researchers' focus is increasingly drawn to etiology-associated biomarkers. They can provide deeper insight regarding specific stroke mechanisms and can help to unravel previously undetected pathologies. Furthermore, etiology-associated biomarkers could play an important role in guiding future stroke prevention strategies. To achieve this, broad validation of promising candidate biomarkers as well as their implementation in well-designed randomized clinical trials is necessary. This review focuses on the most-promising candidates for diagnosis of cardioembolic stroke. It discusses existing evidence for possible clinical applications of these biomarkers, addresses current challenges, and outlines future perspectives.

Development of a novel score to predict newly diagnosed atrial fibrillation after ischemic stroke: The CHASE-LESS score

BACKGROUND AND AIMS

Prompt detection of atrial fibrillation (AF) is essential for optimal secondary stroke prevention, but routine long-term cardiac monitoring of all ischemic stroke patients is neither practical nor affordable. We aimed to develop and validate a risk score to identify patients at risk for newly diagnosed AF (NDAF) after ischemic stroke.

METHODS

Information on adult patients hospitalized for ischemic stroke without known AF was retrieved from a nationwide database. Primary outcome was NDAF within one year following index stroke. A stepwise Cox model was used to screen for predictors. Beta coefficients for the independent predictors were converted to integer points, which were summed to create a risk score.

RESULTS

We identified 4 positive predictors and 3 negative predictors. The CHASE-LESS score (Coronary, Heart failure, Age, stroke SEverity, - LipidEmia, Sugar, prior Stroke) comprises coronary artery disease (1 point), congestive heart failure (1 point), age (1 point for every 10 years), stroke severity (National Institutes of Health Stroke Scale; 1 point for 6-13 and 4 points for ≥14), hyperlipidemia (-1 point), diabetes (-1 point), and prior history of stroke or transient ischemic attack (-1 point). Overall, 6.0% (1029/17,076) of patients developed NDAF. The incidence rate ranged from 8/1000 person-years (CHASE-LESS ≤3) to 240/1000 person-years (CHASE-LESS ≥10). The model achieved a c-index of 0.730 in the development cohort and 0.732 in the validation cohort.

CONCLUSIONS

The CHASE-LESS score could aid clinicians to identify patients at risk of developing NDAF and help prioritize patients for advanced cardiac monitoring.

D-dimer and C-reactive Protein as Potential Biomarkers for Diagnosis of Trousseau's Syndrome in Patients with Cerebral Embolism

BACKGROUND

Differentiating stroke due to Trousseau's syndrome from other types of cerebral embolism is challenging, especially in patients with occult cancer. The current study aimed to determine predicting factors and biomarkers of stroke due to Trousseau's syndrome.

METHODS

This retrospective study comprised 496 consecutive patients with acute cerebral embolism, including 19, 85, 310, and, 82 patients with stroke due to Trousseau's syndrome, artery-to-artery embolism, cardioembolic stroke, and embolic stroke with undetermined source, respectively. All patients were evaluated within 72 hours of onset. The clinical characteristics, laboratory findings, and patterns on diffusion-weighted magnetic resonance imaging (DWI) were compared among the groups.

RESULTS

Plasma D-dimer and C-reactive protein (CRP) levels were significantly higher in the Trousseau's syndrome than in the other causes of cerebral embolism. Multivariate analyses demonstrated that female sex, multiple lesions on DWI, high D-dimer and CRP levels, and low platelet and low brain natriuretic peptide levels were independent predictors that could distinguish Trousseau's syndrome from the other causes of cerebral embolism. The cutoff values of D-dimer and CRP to identify stroke due to Trousseau's syndrome was 2.68 µg/mL fibrinogen equivalent units and .29 mg/dL, respectively.

CONCLUSIONS

The elevated D-dimer and CRP levels on admission in addition to specific clinical features may be useful for diagnosis of Trousseau's syndrome in patients with cerebral embolism.