Brain natriuretic peptide on admission as a biological marker of long-term mortality in ischemic stroke survivors

Myocardial Injury after Stroke

The cardiovascular system is markedly affected by stress after stroke. There is a complex interaction between the brain and heart, and the understanding of the mutual effects has increased in recent decades. Stroke is accompanied by pathological disturbances leading to autonomic dysfunction and systemic inflammation, which leads to changes in cardiomyocyte metabolism. Cardiac injury after stroke may lead to serious complications and long-term cardiac problems. Evidence suggests that blood biomarkers and electrocardiogram analyses can be valuable for estimating the severity, prognosis, and therapy strategy in patients after stroke. It is necessary to distinguish whether these abnormalities presenting in stroke patients are caused by coexisting ischemic heart disease or are caused by brain injury directly. Distinguishing the origin can have a great impact on the treatment of patients after acute stroke. In this article, we focus on epidemiology, pathophysiological mechanisms, and the presentation of cardiac changes in patients after stroke.

Analysis of Brain Natriuretic Peptide Levels after Traumatic Acute Subdural Hematoma and the Risk of Post-Operative Cerebral Infarction

Traumatic acute subdural hematoma (aSDH) is associated with a high mortality rate caused by post-operative cerebral infarction. Recently, brain natriuretic peptide (BNP) was considered a reliable biomarker in the acute phase of traumatic brain injuries. We therefore aimed in this study to analyze BNP levels on admission, identify the predictors of their elevation, and assess the relationship between BNP and the risk of post-operative cerebral infarction. Patients with isolated, unilateral, traumatic aSDH who were admitted to our department between July 2017 and May 2020 were enrolled in this study. On admission, cranial computer tomography (CCT) and BNP sampling were simultaneously performed. Additionally, the time between head trauma and BNP sampling (TTS) was assessed. Admission radiographic variables included hematoma volumes, midline shift, and degree of brain edema. Cerebral infarction was detected on postoperative CCT. In total, 130 patients were included in this study. Surgical treatment was performed in 82.3% (n = 107) of cases. The multiple regression analysis showed that larger hematoma volumes (p = 0.032) and advanced age (p = 0.005) were independent predictors of elevated BNP when TTS <24 h. The binomial logistical regression analysis identified BNP with a cutoff value of <29.4 pg/mL (TTS = 3-12 h, adjusted odds ratio [aOR] = 16.5, p = 0.023) as an independent predictor of post-operative cerebral infarction. Elevated BNP levels in the first 24 h post-trauma were related to larger hematoma volumes and advanced age. Further, an increased risk of post-operative cerebral infarction was identified in patients with lower BNP levels in the post-traumatic period 3-12 h.

Carotid intima media thickness measurements coupled with stroke severity strongly predict short-term outcome in patients with acute ischemic stroke: a machine learning study

Acute ischemic stroke (IS) is one of the leading causes of morbidity, functional disability and mortality worldwide. The objective was to evaluate IS risk factors and imaging variables as predictors of short-term disability and mortality in IS. Consecutive 106 IS patients were enrolled. We examined the accuracy of IS severity using the National Institutes of Health Stroke Scale (NIHSS), carotid intima-media thickness (cIMT) and carotid stenosis (both assessed using ultrasonography with doppler) predicting IS outcome assessed with the modified Rankin scale (mRS) three months after hospital admission. Poor prognosis (mRS ≥ 3) at three months was predicted by carotid stenosis (≥ 50%), type 2 diabetes mellitus and NIHSS with an accuracy of 85.2% (sensitivity: 90.2%; specificity: 81.8%). The mRS score at three months was strongly predicted by NIHSS (β = 0.709, p < 0.001). Short-term mortality was strongly predicted using a neural network model with cIMT (≥ 1.0 mm versus < 1.0 mm), NIHSS and age, yielding an area under the receiving operator characteristic curve of 0.977 and an accuracy of 94.7% (sensitivity: 100.0%; specificity: 90.9%). High NIHSS (≥ 15) and cIMT (≥ 1.0 mm) increased the probability of dying with hazard ratios of 7.62 and 3.23, respectively. Baseline NIHSS was significantly predicted by the combined effects of age, large artery atherosclerosis stroke, sex, cIMT, body mass index, and smoking. In conclusion, high values of cIMT and NIHSS at admission strongly predict short-term functional impairment as well as mortality three months after IS, underscoring the importance of those measurements to predict clinical IS outcome.

B-Type Natriuretic Peptide as a Significant Brain Biomarker for Stroke Triaging Using a Bedside Point-of-Care Monitoring Biosensor

Stroke is a widespread condition that causes 7 million deaths globally. Survivors suffer from a range of disabilities that affect their everyday life. It is a complex condition and there is a need to monitor the different signals that are associated with it. Stroke patients need to be rapidly diagnosed in the emergency department in order to allow the admission of the time-limited treatment of tissue plasminogen activator (tPA). Stroke diagnostics show the use of sophisticated technologies; however, they still contain limitations. The hidden information and technological advancements behind the utilization of biomarkers for stroke triaging are significant. Stroke biomarkers can revolutionize the way stroke patients are diagnosed, monitored, and how they recover. Different biomarkers indicate different cascades and exhibit unique expression patterns which are connected to certain pathologies in the human body. Over the past decades, B-type natriuretic peptide (BNP) and its derivative N-terminal fragment (NT-proBNP) have been increasingly investigated and highlighted as significant cardiovascular biomarkers. This work reviews the recent studies that have reported on the usefulness of BNP and NT-proBNP for stroke triaging. Their classification association is also presented, with increased mortality in stroke, correlation with cardioembolic stroke, and an indication of a second stroke recurrence. Moreover, recent scientific efforts conducted for the technological advancement of a bedside point-of-care (POC) device for BNP and NT-proBNP measurements are discussed. The conclusions presented in this review may hopefully assist in the major efforts that are currently being conducted in order to improve the care of stroke patients.

Can Admission BNP Level Predict Outcome After Intravenous Thrombolysis in Acute Ischemic Stroke?

OBJECTIVE

Our study aimed to determine the prognostic value of elevated Brain Natriuretic Peptide (BNP) among patients who received intravenous thrombolysis (IVT) in acute ischemic stroke (AIS).

BACKGROUND

The elevation in BNP level is correlated with infarct size, poststroke mortality, and CHADS2 score. Currently, there is a lack of validated biomarker to predict the outcome in patients with acute ischemic stroke, and there is a complex interaction amongst multiple variables.

DESIGN/METHODS

A retrospective review of medical records of patients admitted to our institution with acute ischemic stroke was performed. The patients who received intravenous thrombolysis were selected for analysis and divided into 2 groups based on the level of BNP. We compared the baseline demographics, past medical history, stroke etiology, discharge disposition, and 3-month mRS between both groups. Multivariate logistic regression analysis was performed to identify the predictors of poor outcome following intravenous thrombolysis in acute ischemic stroke.

RESULTS

A total of 90 patients were recruited in the study; 53 patients were found to have an elevated BNP (high BNP was defined as >100 pg/mL) level, whereas 37 had low BNP levels. Our study showed that patients with elevated BNP were more likely to have an elevation in admission and discharge NIHSS, serum creatinine, left atrial size, and blood glucose (P<0.05). Atrial fibrillation and cardioembolic strokes were seen most often in the population with elevated BNP (P<0.05). The patients with elevated BNP were less likely to be discharged home, and 3-month mRS was found to be higher, but these were not significant. On multivariate analysis, elevated BNP was not found to be an independent factor for poor outcome.

CONCLUSIONS

Elevated BNP level was not found to be an independent marker of poor outcome in AIS patients following IVT.

Point-of-Care-Testing in Acute Stroke Management: An Unmet Need Ripe for Technological Harvest

Stroke, the second highest leading cause of death, is caused by an abrupt interruption of blood to the brain. Supply of blood needs to be promptly restored to salvage brain tissues from irreversible neuronal death. Existing assessment of stroke patients is based largely on detailed clinical evaluation that is complemented by neuroimaging methods. However, emerging data point to the potential use of blood-derived biomarkers in aiding clinical decision-making especially in the diagnosis of ischemic stroke, triaging patients for acute reperfusion therapies, and in informing stroke mechanisms and prognosis. The demand for newer techniques to deliver individualized information on-site for incorporation into a time-sensitive work-flow has become greater. In this review, we examine the roles of a portable and easy to use point-of-care-test (POCT) in shortening the time-to-treatment, classifying stroke subtypes and improving patient's outcome. We first examine the conventional stroke management workflow, then highlight situations where a bedside biomarker assessment might aid clinical decision-making. A novel stroke POCT approach is presented, which combines the use of quantitative and multiplex POCT platforms for the detection of specific stroke biomarkers, as well as data-mining tools to drive analytical processes. Further work is needed in the development of POCTs to fulfill an unmet need in acute stroke management.

Electrochemical impedimetric detection of stroke biomarker NT-proBNP using disposable screen-printed gold electrodes

Stroke is the second top leading cause of death globally. It is caused by an abrupt interruption of blood flow to the brain. In that course, brain natriuretic peptide (BNP) and its derivative N-terminal pro b-type natriuretic peptide (NT-proBNP), neurohormones produced mainly by the heart ventricles in response to excessive stretching of cardiomyocytes (heart muscle cells), are proven to be good biomarkers for heart failure diagnosis. Moreover, there is growing clinical interest of the use of NT-proBNP for stroke diagnosis and prognosis because it is significantly associated with cardioembolic stroke and secondary stroke reoccurrence, with sensitivity >90% and specificity >80%. However, in diagnostic settings, there is still a need to address the encountered analytical problems, particularly assay specificity and set up. In this study, a novel approach for NT-proBNP detection is demonstrated using an electrochemical immunoassay method. A label-free impedimetry immunosensor for stroke biomarker was developed using modified disposable screen-printed gold electrodes (SPGE) hosting specific anti-NT-proBNP capture antibody. The performance of our immunosensor was studied in the presence of NT-proBNP in both buffered and mock (porcine) plasma samples. A linear relation between the relative total resistance (ΔRtot) responses and the NT-proBNP concentrations in buffer was observed in a range from 0.1 to 5 ng mL-1 with a correlation coefficient (R2) of 0.94656. Overall, the biosensor has demonstrated the capability to quantitate NT-proBNP and differentiate such concentrations in a low concentration range, especially among 0, 0.1, 0.5, 1, and 3 ng mL-1 in plasma samples within 25 min. This range is valuable not only for classifying cardioembolic stroke (higher or equal to 0.5 ng mL-1), but also predicting the risk of secondary stroke reoccurrence (higher than 0.255 ng mL-1). Our biosensor has the potential to be used as an easy-to-use point-of-care test that is both accurate and affordable.

Plasma brain natriuretic Peptide as a predictive marker of early recurrent stroke in cardioembolic stroke patients

BACKGROUND

Whether brain natriuretic peptide (BNP) levels are associated with early recurrent stroke in cardioembolic stroke patients was investigated.

METHODS

From January 2010 to March 2014, consecutive patients within 24 hours of onset of cardioembolic stroke were prospectively enrolled, and admission plasma BNP levels were measured. Recurrent stroke was identified as the occurrence of additional neurologic deficits and the appearance of a new infarct on neuroimaging. Patients were divided into 2 groups: the recurrence group and the nonrecurrence group. Factors associated with stroke recurrence were investigated by multiple logistic regression analysis.

RESULTS

A total of 348 patients were included; 17 patients (5%) had recurrent stroke during hospitalization. The median interval from stroke onset to recurrent stroke was 4 days (range, 0-30). BNP levels were significantly higher in the recurrence group than in the nonrecurrence group (304.1 vs. 206.5 pg/mL, P = .029). The optimal cutoff level, sensitivity, and specificity of BNP levels to distinguish the recurrence group from the nonrecurrence group were 255.0 pg/mL, 76%, and 60%, respectively. On multivariate analysis after adjustment for confounders, plasma BNP ≥ 255.0 pg/mL (odds ratio, 5.21; 95% confidence interval, 1.63-16.72; P = .005) was independently associated with recurrent stroke during hospitalization in cardioembolic stroke patients.

CONCLUSIONS

Plasma BNP could be a useful marker for predicting early recurrent stroke during hospitalization in cardioembolic stroke patients.