BNP and NT-proBNP as Diagnostic Biomarkers for Cardiac Dysfunction in Both Clinical and Forensic Medicine

Cao, Zhipeng; Jia, Yuqing; Zhu, Bao‐Li

doi:10.3390/ijms20081820

Cited by 228 publications

(216 citation statements)

References 127 publications

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“…Previous forensic studies reported that the concentrations of biomarkers in the pericardial fluid, which is close to the heart, were higher than those in the peripheral bodily fluids . In addition, the pericardial fluid is present in the enclosed space between the pericardium and the heart and cannot be easily influenced by postmortem changes such as hemolysis . The present meta‐analysis showed that NT‐proBNP in pericardial fluid, rather than in serum, revealed statistical elevation, which indicated that pericardial fluid might outperform serum in postmortem biochemical analysis.…”

Section: Discussionmentioning

confidence: 51%

Evaluation of Agonal Cardiac Function for Sudden Cardiac Death in Forensic Medicine with Postmortem Brain Natriuretic Peptide (BNP) and NT‐proBNP: A Meta‐analysis

Cao

Zhao

et al. 2019

Journal of Forensic Sciences

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Sudden cardiac death (SCD) is an unexpected death caused by a sudden loss of cardiac function, which is currently a global public health problem. Evaluation of the agonal cardiac function of the deceased is a quite important task for the diagnosis of SCD in forensic medicine. Brain natriuretic peptide (BNP) and N-terminal proBNP (NT-proBNP) are currently considered as significant biomarkers for the diagnosis of heart failure in both clinical and forensic practices. To investigate the postmortem evaluation roles of postmortem BNP and NT-proBNP levels for SCD, the present study meta-analyzed eight related studies from Embase, Cochrane Library, PubMed, China Biomedical Literature Database, China National Knowledge Infrastructure, and Wanfang Data. Newcastle-Ottawa Quality Assessment Scale was used to assess the quality of the included literature, and the meta-analysis was performed by RevMan 5.3.5 software. Postmortem NT-proBNP in pericardial fluid showed higher levels in the SCD group than that of the non-SCD group with the weighted mean difference = 3665.74, 95% confidence interval: 1812.89-5518.59, and p = 0.0001. However, postmortem levels of BNP in pericardial fluid and NT-proBNP in serum revealed no statistical difference between SCD and non-SCD subjects. The results of present meta-analysis demonstrated that postmortem NT-proBNP in the pericardial fluid could be used as an ancillary indicator for evaluation of agonal cardiac function in forensic medicine.

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Section: Discussionmentioning

confidence: 51%

Evaluation of Agonal Cardiac Function for Sudden Cardiac Death in Forensic Medicine with Postmortem Brain Natriuretic Peptide (BNP) and NT‐proBNP: A Meta‐analysis

Cao

Zhao

et al. 2019

Journal of Forensic Sciences

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“…But their usefulness for diagnosis of SCD is arguable (1). The synthesis of BNP is induced by mechanical stress, ischemia and hypoxia; which result in BNP rise in the myocardium (49). In support of this, animal studies (50) demonstrated that BNP mRNA in left ventricle of rats is influenced by Angiotensin II, stimulated by mechanical stress.…”

Section: Brain Natriuretic Peptide (Bnp)mentioning

confidence: 89%

Gene Expression Pattern Analysis for Forensic Diagnosis of Sudden Cardiac Death

Das

Ghosh

Chowdhuri

2020

ijmsdr

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Diagnosis of Sudden cardiac death (SCD) is challenging for forensic experts. In the current scenario, genetic analysis is rapidly gaining interest in forensic science. Previous studies are not only limited to using protein markers. In this regard, analysis of mRNA is also a key feature. Analysing mRNA offers insight into the diseases and mechanisms leading to death. It can also be used for forensic diagnostic purposes. This review article takes the help of this methodology to discuss about those mRNA species that can aid in the process of sudden cardiac death (SCD) diagnosis. These are mRNA encoding Heat Shock Protein (HSP), mRNA encoding Hemoglobin A1/2 & B, mRNA encoding Pyruvate Dehydrogenase (PDK4), mRNAs encoding Connexin 43 (Cx43) & Zonula occludens-1 (ZO1), mRNA encoding TNNI3, MYL3, TGFB1, MMP9, VEGFA and mRNA expressing Brain Natriuretic Peptide (BNP).Owing to the difficulty of diagnosing SCD, molecular markers are often developed that can aid in the process. Nowadays, mRNA is showing promising usefulness to supplement the process. Keywords: Sudden Cardiac Death, forensic, gene expression

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“…The covariates included were age, systolic blood pressure on admission, diastolic blood pressure on admission, Killip class on admission, heart rate on admission, culprit coronary artery, number of arteries with sign cant stenosis (de ned as > 70%), SYNTAX score, pain to baloon time, diabetes, weight, BMI, dyslipidaemia, smoking status, previous medical therapy, medical therapy on dismissal, hypertension, prior cerebrovascular disease, CK value at admission, 6 The aim of this model was to nd out which independent variables are independently related to the dependent variable, and the same was used in all forms of regression. ESVi was used as a dependent variable in the multivariate analysis, and a maximum of 6 variables were used in each model, which is appropriate to the sample size.…”

Section: Methodsmentioning

confidence: 99%

“…It is released to the bloodstream by myocytes undergoing wall tension due to volumetric or pressure overload. (5) It is well known that acute ischemic heart disease is associated with an elevation of BNP levels, which might re ect the severity of LV dysfunction (6). NTproBNP together with systolic blood pressure on admission could represent the Killip classi cation system, which is using physical examination and the development of heart failure in order to predict and stratify the risk of mortality after an acute myocardial infarction.…”

Section: Roc Analysis Found Great Predictive Value Of the Nomogrammentioning

confidence: 99%

Nomogram Containing Simple Routine Clinical and Biochemical Parameters Can Predict Pathological Ventricular Remodeling in STEMI Patients

Vinter¹,

Kordić²,

Klobučar³

et al. 2020

Preprint

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BACKGROUND: Heart failure is the leading cause of worldwide morbidity and mortality, with ischemic heart disease being one of the most important etiologic factors. Heart failure develops due to ventricular remodeling, which leads to increases in left ventricular end-systolic and end-diastolic volumes.METHODS: We conducted a prospective observational study to find which parameters could predict the risk of pathological left ventricular remodeling in the early stage of myocardial infarction. RESULTS: We created a nomogram based on routinely used blood tests and vital parameters which had the highest correlation with pathological ventricular remodeling. The nomogram included NTproBNP value 12 hours after reperfusion, AST value 12 hours after reperfusion, systolic blood pressure value on admission and culprit coronary artery. We performed ROC analysis which found great predictive value of the nomogram. Area under curve (AUC) was 0,907 (95% CI 0,842 - 0,973). Nomogram value of -3.54 had sensitivity of 91.4% and specificity of 74.0%.CONCLUSION: We believe that this nomogram, once validated, could offer a widely available, low-cost option that would help identify patients at risk of developing pathological left ventricular remodeling and achieve this at a very early stage of myocardial infarction (12 hours after reperfusion is achieved).

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BNP and NT-proBNP as Diagnostic Biomarkers for Cardiac Dysfunction in Both Clinical and Forensic Medicine

Cited by 228 publications

References 127 publications

Evaluation of Agonal Cardiac Function for Sudden Cardiac Death in Forensic Medicine with Postmortem Brain Natriuretic Peptide (BNP) and NT‐proBNP: A Meta‐analysis

Evaluation of Agonal Cardiac Function for Sudden Cardiac Death in Forensic Medicine with Postmortem Brain Natriuretic Peptide (BNP) and NT‐proBNP: A Meta‐analysis

Gene Expression Pattern Analysis for Forensic Diagnosis of Sudden Cardiac Death

Nomogram Containing Simple Routine Clinical and Biochemical Parameters Can Predict Pathological Ventricular Remodeling in STEMI Patients

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