B-type natriuretic peptide is associated with post-discharge stroke in hospitalized patients with heart failure

C1QC, VSIG4, and CFD as Potential Peripheral Blood Biomarkers in Atrial Fibrillation-Related Cardioembolic Stroke

Atrial fibrillation (AF) is a major risk factor for ischemic stroke. We aimed to identify novel potential biomarkers with diagnostic value in patients with atrial fibrillation-related cardioembolic stroke (AF-CE).Publicly available gene expression profiles related to AF, cardioembolic stroke (CE), and large artery atherosclerosis (LAA) were downloaded from the Gene Expression Omnibus (GEO). Differentially expressed genes (DEGs) were identified and then functionally annotated. The support vector machine recursive feature elimination (SVM-RFE) and least absolute shrinkage and selection operator (LASSO) regression analysis were conducted to identify potential diagnostic AF-CE biomarkers. Furthermore, the results were validated by using external data sets, and discriminability was measured by the area under the ROC curve (AUC). In order to verify the predictive results, the blood samples of 13 healthy controls, 20 patients with CE, and 20 patients with LAA stroke were acquired for RT-qPCR, and the correlation between biomarkers and clinical features was further explored. Lastly, a nomogram and the companion website were developed to predict the CE-risk rate. Three feature genes (C1QC, VSIG4, and CFD) were selected and validated in the training and the external datasets. The qRT-PCR evaluation showed that the levels of blood biomarkers (C1QC, VSIG4, and CFD) in patients with AF-CE can be used to differentiate patients with AF-CE from normal controls (P < 0.05) and can effectively discriminate AF-CE from LAA stroke (P < 0.05). Immune cell infiltration analysis revealed that three feature genes were correlated with immune system such as neutrophils. Clinical impact curve, calibration curves, ROC, and DCAs of the nomogram indicate that the nomogram had good performance. Our findings showed that C1QC, VSIG4, and CFD can potentially serve as diagnostic blood biomarkers of AF-CE; novel nomogram and the companion website can help clinicians to identify high-risk individuals, thus helping to guide treatment decisions for stroke patients.

Usefulness of B-Type Natriuretic Peptide for Predicting the Risk of Stroke in Patients With Heart Failure With Preserved Ejection Fraction

Background B-type natriuretic peptide (BNP) is a well-known biomarker for prognosis in heart failure with patients with preserved ejection fraction. However, the clinical predictive ability of BNP for the risk of stroke in HFpEF is not clear. Methods and Results A total of 799 patients with HFpEF from the TOPCAT (Treatment of Preserved Cardiac Function Heart Failure With an Aldosterone Antagonist) trial were included. Association of baseline BNP with risk of stroke was assessed using the Cox proportional hazard model. The discriminatory ability of BNP was expressed using the C index. The improvement in 5-year stroke prediction was assessed by C statistic, categorical net reclassification improvement index, and relative integrated discrimination improvement. A total of 34 (4.3%) patients among the 799 patients with HFpEF experienced stroke events over a median of 2.85 years of follow-up. The stroke group showed a higher BNP level than the nonstroke group (375 pg/mL versus 241 pg/mL, respectively; P=0.006). Higher BNP levels were associated with increased risk of stroke after multivariable adjustment (hazard ratio, 3.29 [95% CI, 1.51-7.16]) and had a moderate performance for stroke prediction (C index, 0.67). Adding BNP to CHADS₂/CHA₂DS₂-VASc/R₂CHADS₂ scores improved their predictive value for stroke (CHADS₂: C index, 0.67; BNP+CHADS₂: C index, 0.77; net reclassification improvement, 40.9%; integrated discrimination improvement, 3.0%; CHA₂DS₂-VASc: C index, 0.64; BNP+CHA₂DS₂-VASc: C index, 0.74; net reclassification improvement, 41.4%; integrated discrimination improvement, 2.2%; R₂CHADS₂: C index, 0.70; BNP+R₂CHADS₂: C index, 0.78; net reclassification improvement, 40.9%; integrated discrimination improvement, 3.2%). Conclusions BNP is associated with an increased risk of stroke in patients with HFpEF and may be a valuable biomarker for stroke prediction in HFpEF.

Impaired brain activity in patients with persistent atrial fibrillation assessed by near-infrared spectroscopy and its changes after catheter ablation

Although the prevalence of cognitive impairment and depression is higher in patients with atrial fibrillation (AF) than in the general population, the mechanism has not been fully examined and impact of catheter ablation (CA) of AF also remains unclear. Recently, the development of near-infrared spectroscopy (NIRS) has enabled noninvasive measurements of regional cerebral blood volume and brain activity, in terms of cerebral oxyhemoglobin in the cerebral cortex. We assessed brain activities by NIRS, depressive symptoms by the Center for Epidemiologic Studies Depression Scale (CES-D) and cognitive function by Mini-Mental State Examination (MMSE). We then compared the results between AF patients (paroxysmal AF n = 18 and persistent AF n = 14) and control subjects (n = 29). Next, we also followed up persistent AF patients who kept sinus rhythm at 3 months after CA (n = 8) and measured their brain activities using NIRS, CES-D and MMSE after CA to investigate the associations of changes in brain activities with changes in both CES-D and MMSE. Our results showed that (1) frontal and temporal brain activities were lower in patients with persistent AF than both in control subjects and paroxysmal AF patients (P < 0.01), (2) frontal and temporal brain activities were improved in more than half of the persistent AF patients who kept sinus rhythm at 3 months after CA, especially in those who presented impaired brain activity before CA, and (3) improvement of frontal brain activity was associated with improvement of CES-D (R =  − 0.793, P = 0.019), whereas improvement of temporal brain activity was associated with improvement of MMSE (R = 0.749, P = 0.033). NIRS measurement showed reduced frontal and temporal brain activities in the persistent AF patients, CA improved frontal and temporal brain activities in some of these patients, and associated with improvement of depressive state and/or improvement of cognitive function.

Circulating N-Terminal Probrain Natriuretic Peptide Levels in Relation to Ischemic Stroke and Its Subtypes: A Mendelian Randomization Study

Mendelian randomization was used to evaluate the potential causal association between N-terminal probrain natriuretic peptide (NT-proBNP) and ischemic stroke based on summary statistics data from large-scale genome-wide association studies. Three single-nucleotide polymorphisms (SNPs) rs198389, rs13107325, and rs11105306 associated with NT-proBNP levels found in large general populations and in patients with acute heart disease were used as instrumental variables. The results of genetic association analysis of each single SNP show that there is no significant association between NT-proBNP levels and ischemic stroke or its subtypes, whereas rs198389 alone has a suggestive association with large-artery atherosclerosis stroke. The MR analysis of three SNPs shows that NT-proBNP levels may reduce the risk of small-vessel occlusion stroke suggestively. This genetic analysis provides insights into the pathophysiology and treatment of ischemic stroke.

B-type natriuretic peptide is associated with the occurrence of bleeding events in heart failure patients with a history of coronary artery disease

BACKGROUND

Bleeding risk in heart failure (HF) patients with coronary artery disease (CAD) has not yet been fully investigated.

METHODS

We analyzed the data of 677 patients with a previous history of CAD who were hospitalized for HF. The patients were divided into three groups based on the tertiles of B-type natriuretic peptide (BNP) levels: Low, Middle, and High BNP groups (n = 225, 226, and 226, respectively). The primary endpoint was post-discharge bleeding events, which was defined as hemorrhagic stroke and gastrointestinal bleeding.

RESULTS

The High BNP group was the oldest (Low, Middle, High, 67.0, 74.0, and 75.0 years, respectively; p < 0.001), showed the lowest left ventricular ejection fraction (56.0%, 50.7%, and 40.3%, respectively; p < 0.001), and contained more patients at high bleeding risk (HBR) defined by the simplified version of the Academic Research Consortium for High Bleeding Risk (ARC-HBR) definition (65.3%, 85.4%, and 93.8%, respectively, p < 0.001). Kaplan-Meier analysis demonstrated that post-discharge bleeding events occurred most frequently in the High BNP group (log-rank p = 0.008). In the Cox proportional hazard analysis, compared to the Low BNP group as a reference, the High BNP group was independently associated with bleeding events after adjustment for age, sex, simplified ARC-HBR definition, and left ventricular ejection fraction (hazard ratio 3.208, 95% confidence interval 1.078-9.544, p = 0.036).

CONCLUSIONS

High BNP is associated with bleeding events in HF patients with a history of CAD.

Simplified Academic Research Consortium for High Bleeding Risk (ARC-HBR) Definition Predicts Bleeding Events in Patients With Heart Failure

BACKGROUND

It has recently been reported that the simplified Academic Research Consortium for High Bleeding Risk (ARC-HBR) definition, which excludes 6 rare criteria, is comparable to the original ARC-HBR definition in predicting major bleeding in patients with coronary artery disease (CAD) who undergo percutaneous coronary intervention. In this study, we investigated whether the simplified ARC-HBR definition could be applied to patients with heart failure (HF) to identify those at high bleeding risk (HBR).Methods and Results:In all, 2,437 patients hospitalized for HF were enrolled in this study. Patients were divided into 2 groups based on the simplified ARC-HBR definition: those at HBR (n=2,026; 83.1%) and those not (non-HBR group; n=411; 16.9%). The HBR group was older (72.0 vs. 61.0 years; P<0.001) and had a lower prevalence of CAD (31.1% vs. 36.5%; P=0.034) than the non-HBR group. Kaplan-Meier analysis showed that post-discharge bleeding events defined as hemorrhagic stroke or gastrointestinal bleeding were more frequent in the HBR than non-HBR group (log-rank P<0.001). The simplified ARC-HBR definition accurately predicted bleeding events (Fine-Gray model; hazard ratio 2.777, 95% confidence interval 1.464-5.270, P=0.001).

CONCLUSIONS

The simplified ARC-HBR definition predicts a high risk of bleeding events in patients with HF.

Cardio-Ankle Vascular Index Predicts Post-Discharge Stroke in Patients with Heart Failure

AIM

We aimed to evaluate the significance of the cardio-ankle vascular index (CAVI) to predict stroke in patients with heart failure (HF).

METHODS

This was a prospective observational study, which recruited clinical data from a total of 557 patients who had been hospitalized for HF and undergone CAVI. According to the receiver operating characteristic curve analysis, the accurate cut-off value of CAVI in predicting post-discharge stroke was 9.64. We divided the patients into two groups: the high-CAVI group (HF patients with CAVI ≥ 9.64, n=111, 19.9%) and the low-CAVI group (HF patients with CAVI ＜9.64, n=446, 80.1%). We compared the patients' characteristics and post-discharge prognosis. The primary endpoint was stroke.

RESULTS

The high-CAVI group was older (73.0 vs. 65.5 years old, P＜0.001). Male sex (73.9% vs. 61.4%, P=0.015), coronary artery disease (47.7% vs. 36.1%, P=0.024), and diabetes mellitus (54.1% vs. 37.4%, P=0.001) were more prevalent in the high-CAVI group. In contrast, there was no difference in left ventricular ejection fraction, and prevalence of hypertension and dyslipidemia. The Kaplan-Meier analysis demonstrated that post-discharge stroke rate was higher in the high-CAVI group than in the low-CAVI group (log-rank P=0.005). In multivariate Cox proportional hazard analysis, high CAVI was found to be an independent predictor of stroke, with an adjusted hazard ratio of 3.599, compared to low CAVI.

CONCLUSION

CAVI independently predicts stroke in patients with HF.

B-type natriuretic peptide is associated with post-discharge stroke in hospitalized patients with heart failure

Aims

Recently, B‐type natriuretic peptide (BNP) has been attracting attention as a predictor of stroke in patients with atrial fibrillation or those with prior stroke experience. However, the association between BNP and stroke has not been examined in patients with chronic heart failure (CHF). In the current study, we assessed whether BNP is associated with future occurrence of stroke in patients with CHF.

Methods and results

We prospectively studied 1803 consecutive patients who were admitted for decompensated HF and assessed the predictive value of circulating BNP levels for occurrence of post‐discharge stroke.

A total of 69 (3.8%) patients experienced a stroke (the stroke group) during the post‐discharge follow‐up period of a median of 1150 days. The stroke group showed a higher CHADS₂ score. With respect to past medical history, the stroke group had a higher prevalence of arterial hypertension, atrial fibrillation, prior stroke, and chronic kidney disease. Echocardiographic parameters showed no significant differences between the two groups. In contrast, BNP levels were significantly higher in the stroke group than in the non‐stroke group (452.1 vs. 222.7 pg/mL, P < 0.001). Multivariate Cox proportional hazard analysis indicated that BNP levels were independently associated with post‐discharge stroke (hazard ratio 2.636, 95% confidence interval 1.595–4.357, P < 0.001). The survival classification and regression tree analysis revealed that the accurate cut‐off point of BNP in predicting post‐discharge stroke was 187.7 pg/mL. We added high BNP level (BNP ≥ 180 pg/mL) as one point to CHADS₂ score. The BNP‐added CHADS₂ score was compared with CHADS₂ score alone by using c‐statistics. The areas under the curve of CHADS₂ score, BNP, and BNP‐added CHADS₂ score were 0.698, 0.616, and 0.723, respectively. The predictive value of BNP‐added CHADS₂ score was higher compared with those of CHADS₂ score (P = 0.026).

Conclusions

The assessment of BNP may predict the occurrence of stroke in CHF patients used alone or in combination with established CHADS₂ score.