scholarly journals Prognostic Significance of B Type Natriuretic Peptide in Acute Coronary Syndrome

2014 ◽  
Vol 13 (2) ◽  
pp. 78-88 ◽  
Author(s):  
Nasreen Chowdhury ◽  
Md. Aminul Haque Khan ◽  
Md Mozammel Hoque

Acute Coronary syndrome (ACS) is the most common cause of admission to the coronary care unit with highest risk of death and adverse outcomes. ACS accounts for 60–70% of all admissions in the hospital. Patients with ACS encompass a heterogeneous group that varies widely regarding severity of the underlying coronary artery disease, prognosis and response to treatment. Patients with the highest risk of subsequent events usually have the largest benefit of an intensified pharmacological treatment and early mechanical intervention. The prognosis for low-risk patients, on the other hand, is often difficult to improve further and these patients usually benefit more from a conservative management with a lower risk of side effects. Therefore, risk stratification is essential and should be initiated early and updated continuously throughout the hospital stay. Early risk stratification is usually performed by the use of clinical background factors, clinical presentation, electrocardiography and biochemical markers of myocardial damage. Levels of natriuretic peptides have been shown to reflect cardiac performance. The aim of this study was to review elaborately on B type Natriuretic Peptide (BNP) and its prognostic value in patient with ACS. This review focuses on the emerging role of these peptides in the early risk stratification of ACS patients. Elevation of BNP levels in acute MI and UA is predictive of a greater risk of death, post infarction heart failure, or  reinfarction. Post infarction studies demonstrate that elevated plasma BNP levels are associated with larger infarct size, increased probability of ventricular remodeling, lower ejection fraction, higher risk of heart failure, and increased mortality. This cardiac marker is a potent predictor of mortality in patients with all forms ACS. BNP measurements serve as an index of severity of the ischemic injury, as well as the degree of impairment in left ventricular function.DOI: http://dx.doi.org/10.3329/cmoshmcj.v13i2.21079

2007 ◽  
Vol 53 (12) ◽  
pp. 2112-2118 ◽  
Author(s):  
Peter A Kavsak ◽  
Dennis T Ko ◽  
Alice M Newman ◽  
Glenn E Palomaki ◽  
Viliam Lustig ◽  
...  

Abstract Background: Inflammation in acute coronary syndrome (ACS) can identify those at greater long-term risks for heart failure (HF) and death. The present study assessed the performance of interleukin (IL)-6, IL-8, and monocyte chemoattractant protein-1 (MCP-1) (cytokines involved in the activation and recruitment of leukocytes) in addition to known biomarkers [e.g., N-terminal pro-brain natriuretic peptide (NT-proBNP)] for predicting HF and death in an ACS population. Methods: In a cohort of 216 ACS patients, NT-proBNP (Elecsys®; Roche) and IL-6, IL-8, and MCP-1 (evidence investigator™; Randox) were measured in serial specimens collected early after symptom onset (n = 723). We collected at least 2 specimens from each participant: an early specimen (median 2 h; interquartile range 2–4 h) and a later specimen (9 h; 9–9 h), and used the later specimens’ biomarker concentrations for risk stratification. Results: An increase in both IL-6 and NT-proBNP was observed but not for IL-8 or MCP-1 early after pain onset. Kaplan–Meier analysis demonstrated that individuals with increased NT-proBNP (>183 ng/L) or cytokines (IL-6 > 6.4 ng/L; above upper limit of normal for IL-8 or MCP-1) had a greater probability of death or HF in the following 8 years (P <0.05). In a Cox proportional hazard model adjusted for both CRP and troponin I, increased IL-6, MCP-1, and NT-proBNP remained significant risk factors. Combining all 3 biomarkers resulted in a higher likelihood ratio for death or HF than models restricted to any 2 of these biomarkers. Conclusion: IL-6, MCP-1, and NT-proBNP are independent predictors of long-term risk of death or HF, highlighting the importance of identifying leukocyte activation and recruitment in ACS patients.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Paul D. Myers ◽  
Wei Huang ◽  
Fred Anderson ◽  
Collin M. Stultz

Abstract Most risk stratification methods use expert opinion to identify a fixed number of clinical variables that have prognostic significance. In this study our goal was to develop improved metrics that utilize a variable number of input parameters. We first used Bootstrap Lasso Regression (BLR) – a Machine Learning method for selecting important variables – to identify a prognostic set of features that identify patients at high risk of death 6-months after presenting with an Acute Coronary Syndrome. Using data derived from the Global Registry of Acute Coronary Events (GRACE) we trained a logistic regression model using these features and evaluated its performance on a development set (N = 43,063) containing patients who have values for all features, and a separate dataset (N = 6,363) that contains patients who have missing feature values. The final model, Ridge Logistic Regression with Variable Inputs (RLRVI), uses imputation to estimate values for missing features. BLR identified 19 features, 8 of which appear in the GRACE score. RLRVI had modest, yet statistically significant, improvement over the standard GRACE score on both datasets. Moreover, for patients who are relatively low-risk (GRACE≤87), RLRVI had an AUC and Hazard Ratio of 0.754 and 6.27, respectively, vs. 0.688 and 2.46 for GRACE, (p < 0.007). RLRVI has improved discriminatory performance on patients who have values for the 8 GRACE features plus any subset of the 11 non-GRACE features. Our results demonstrate that BLR and data imputation can be used to obtain improved risk stratification metrics, particularly for patients who are classified as low risk using traditional methods.


Heart ◽  
2020 ◽  
pp. heartjnl-2020-317735
Author(s):  
Yasuhiro Hamatani ◽  
Moritake Iguchi ◽  
Kentaro Ueno ◽  
Yuya Aono ◽  
Masahiro Esato ◽  
...  

ObjectivesNatriuretic peptides are an important prognostic marker in patients with heart failure (HF). However, little is known regarding their prognostic significance in patients with atrial fibrillation (AF) without HF and natriuretic peptides levels are underused in these patients in daily practice.MethodsThe Fushimi AF Registry is a community-based prospective survey of patients with AF in Fushimi-ku, Kyoto, Japan. We investigated patients with AF without HF (defined as prior HF hospitalisation, New York Heart Association functional class≥2 or left ventricular ejection fraction<40%) using the data of B-type natriuretic peptide (BNP, n=388) or N-terminal pro-B-type natriuretic peptide (NT-proBNP, n=771) at enrolment. BNPs were converted to NT-proBNP using a conversion formula. We divided the patients according to quartiles of NT-proBNP levels and compared the backgrounds and outcomes.ResultsOf 1159 patients (mean age: 72.1±10.2 years, median CHA2DS2-VASc score: 3 and oral anticoagulant (OAC) prescription: 671 (56%)), the median NT-proBNP level was 488 (IQR 169–1015) ng/L. Patients with high NT-proBNP levels were older, had higher CHA2DS2-VASc scores and had more OAC prescription (all p<0.001). Kaplan-Meier curves demonstrated that NT-proBNP levels were significantly associated with higher incidences of stroke/systemic embolism, all-cause death and HF hospitalisation during a median follow-up period of 5.0 years (log rank, all p<0.001). Multivariable Cox regression analyses revealed that NT-proBNP levels were an independent predictor of adverse outcomes even after adjustment by various confounders.ConclusionNT-proBNP levels are a significant prognostic marker for adverse outcomes in patients with AF without HF and may have clinical value.Trial registration numberUMIN000005834.


2019 ◽  
Vol 8 (4) ◽  
pp. 292-300
Author(s):  
Aida Hamzić-Mehmedbašić ◽  
Damir Rebić ◽  
Amina Valjevac ◽  
Hajrunisa Čubro ◽  
Azra Durak Nalbantić ◽  
...  

Introduction: Although many predictive tools have already been developed, efforts are still proceeding to identify a reliable biomarker to predict the prognosis of the patients with acute heart disorders. Objectives: The aim was to evaluate the role of renal injury biomarkers (serum cystatin C, serum and urine interleukin-18, IL-18) and heart failure biomarkers (plasma B-type natriuretic peptide, BNP) in the prediction of the postdischarge requirement of renal replacement therapy (RRT) and/or 6-month mortality in patients with acute heart disorders. Patients and Methods: In patients diagnosed with acute heart disorders (acute heart failure [AHF] and/or acute coronary syndrome [ACS]) and admitted to the intensive care units, baseline clinical parameters, renal and cardiac biomarkers were determined. Patients were followed up for 6 months. The composite outcome was the postdischarge requirement of RRT and/or 6-month mortality. Results: Of 120 patients, 5.8% continued RRT after discharge. The 6-month mortality was 20%. Cox logistic regression analysis showed that urine IL-18 (P=0.021), plasma BNP (P=0.046), Acute Physiology and Chronic Health Evaluation (APACHE) II score (P=0.002), and left ventricular diastolic dysfunction (P=0.045) were independent predictors of the postdischarge requirement of RRT and/or 6-month mortality. For predicting RRT and/or 6-month mortality, using urine IL-18 cutoff value of 29.1 pg/mL showed 66.7% sensitivity and 67.7% specificity (area under the curve, AUC 0.70, P=0.003), while using plasma BNP cutoff value of 881.6 pg/mL showed 66.7% sensitivity and 70.8% specificity (AUC 0.76, P<0.001). Conclusion: Urine IL-18 and plasma BNP are independently predictive for the postdischarge requirement of RRT and/or 6-month mortality in patients with acute heart disorders.


Author(s):  
А. С. Пушкин

В обзорной статье собраны современные представления об особенностях диагностики и мониторинга пациентов пожилого и старческого возраста с сердечной недостаточностью и стенокардией. Особое внимание уделено проблеме коморбидности пациентов старше 65 лет, что требует корректирующих действий при стратификации риска и прогнозировании клинических исходов. Отмечена приоритетность неинвазивных диагностических тестов. Рекомендована оценка хрупкости как неотъемлемой части диагностического процесса пациентов с сердечной недостаточностью и стенокардией ввиду чёткой связи с худшим прогнозом с точки зрения качества жизни, госпитализации и смертности. Review is about current information on the features of heart failure and angina diagnosis and monitoring in elderly and senile patients. One of the main problem in patients over 65 years is comorbidity, which requires corrective action in the risk stratification and prediction of clinical outcomes. The priority of non-invasive diagnostic tests is noted. Authors of the article recommend frailty as an obligatory part of diagnostic process in patients with heart failure and angina due to a clear connection with the worst prognosis in terms of quality of life, hospitalization and mortality.


2020 ◽  
Vol 319 ◽  
pp. 140-143 ◽  
Author(s):  
Peter A. Kavsak ◽  
Shawn E. Mondoux ◽  
Jinhui Ma ◽  
Jonathan Sherbino ◽  
Stephen A. Hill ◽  
...  

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
L Minushkina ◽  
V Brazhnik ◽  
N Selezneva ◽  
V Safarjan ◽  
M Alekhin ◽  
...  

Abstract   Left ventricular (LV) global function index (LVGFI) is a MRI marker of left ventricular remodeling. LVGFI has high predictive significance in young healthy individuals. The aim of the study was to assess prognostic significance in patients with acute coronary syndrome (ACS). We include into this analysis 2169 patients with ACS (1340 (61.8%) men and 829 (38.2%) women), mean age 64.08±12.601 years. All patients were observed in 2 Russian multicenter observational studies: ORACLE I (ObseRvation after Acute Coronary syndrome for deveLopment of trEatment options) (2004–2007 years) and ORACLE II (NCT04068909) (2014–2019 years). 1886 (87.0%) pts had arterial hypertension, 1539 (71.0%) – history of coronary artery disease, 647 (29.8%) – history of myocardial infarction, 444 (20.5%) - diabetes mellitus. Duration of the follow-up was 1 years after the hospital discharge. Cases of death from any cause, coronary deaths, repeated coronary events (fatal and non-fatal) were recorded. An echocardiographic study was conducted 5–7 days from the time of hospitalization. The LVGFI was defined as LV stroke volume/LV global volume × 100, where LV global volume was the sum of the LV mean cavity volume ((LV end-diastolic volume + LV end-systolic volume)/2) and myocardial volume (LV mass/density). During the follow-up, 193 deaths were recorded (8.9%), 122 deaths (5.6%) were coronary. In total, repeated coronary events were recorded in 253 (11.7%) patients. Mean LVGFI was 22.64±8.121%. Patients who died during the follow-up were older (73.03±10.936 years and 63.15±12.429 years, p=0.001), had a higher blood glucose level at the admission to the hospital (8.12±3.887 mmol/L and 7.17±3.355 mmol/L, p=0.041), serum creatinine (110.86±53.954 μmol/L and 99.25±30.273 μmol/L, p=0.007), maximum systolic blood pressure (196.3±25.17 mm Hg and 190.3±27.83 mm Hg, p=0.042). Those who died had a lower LVGFI value (19.75±6.77% and 23.01±8.243%, p&lt;0.001). Myocardial mass index, ejection fraction and other left ventricular parameters did not significantly differ between died and alive patients. Among the patients who died, there were higher rate of women, pts with a history of myocardial infarction, heart failure, diabetes. In a multivariate analysis, diabetes mellitus OR1.67 95% CI [1.12–2.51] p=0.012, history of heart failure (1.78 [1.2.-2.59], p=0.003), a history of myocardial infarction (1.47 [1.05–2.05], p=0024), age (1.06 [1.05–1.08], p=0.001) and LVGFI &lt;22% (1.53 [1.08–2.17], p=0.015) were independent predictors of death from any cause. The LVGFI was also independently associated with the risk of coronary death, but not with the risk of all recurring coronary events. Thus, LVGFI may be useful the marker to assess risk in patients who have experienced an ACS episode. Funding Acknowledgement Type of funding source: None


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