Sudden cardiac death

Kandala, Jagdesh; Oommen, Clint; Kern, Karl B.

doi:10.1093/bmb/ldx011

Cited by 28 publications

(32 citation statements)

References 51 publications

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“…Although the mortality of cardiovascular death has decreased over the past 20 years, there are still approximately 17 million cardiac deaths in the world every year, nearly 25% of which are sudden cardiac death (SCD) [1]. Death caused by cardiovascular diseases, especially myocardial infarction (MI), is a global public health problem, which accounts for large proportions of the routine work of forensic practice [2,3,4,5]. However, typical morphological findings are sometimes quite limited in certain cardiac deaths during autopsies and histological investigations [5,6].…”

Section: Introductionmentioning

confidence: 99%

Diagnostic Roles of Postmortem cTn I and cTn T in Cardiac Death with Special Regard to Myocardial Infarction: A Systematic Literature Review and Meta-Analysis

Cao

Zhao

et al. 2019

IJMS

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Background: Cardiac troponin I (cTn I) and cardiac troponin T (cTn T) are currently widely used as diagnostic biomarkers for myocardial injury caused by ischemic heart diseases in clinical and forensic medicine. However, no previous meta-analysis has summarized the diagnostic roles of postmortem cTn I and cTn T. The aim of the present study was to meta-analyze the diagnostic roles of postmortem cTn I and cTn T for cardiac death in forensic medicine, present a systematic review of the previous literature, and determine the postmortem cut-off values of cTn I and cTn T. Methods: We searched multiple databases for the related literature, performed a meta-analysis to investigate the diagnostic roles of postmortem cardiac troponins, and analyzed the receiver operating characteristic (ROC) curve to determine their postmortem cut-off values. Results and Conclusions: The present meta-analysis demonstrated that postmortem cTn I and cTn T levels were increased in pericardial fluid and serum in cardiac death, especially in patients with acute myocardial infarction (AMI). We determined the postmortem cut-off value of cTn I in the pericardial fluid at 86.2 ng/mL, cTn I in serum at 9.5 ng/mL, and cTn T in serum at 8.025 ng/mL.

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Section: Introductionmentioning

confidence: 99%

Diagnostic Roles of Postmortem cTn I and cTn T in Cardiac Death with Special Regard to Myocardial Infarction: A Systematic Literature Review and Meta-Analysis

Cao

Zhao

et al. 2019

IJMS

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“…SCD is commonest with structural heart disease in which 75 to 80% victims have CHD and 10 to 15% have nonischemic dilated cardiomyopathies. 27 SCD occurs in 10 to 15% in victims without any structural heart disease like sudden arrhythmic cardiac arrest.…”

Section: Coronary Heart Diseasesmentioning

confidence: 99%

Sudden Cardiac Death: Can We Solve the Puzzle?

Annachhatre

2019

J Card Crit Care

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Sudden cardiac death is a leading cause of death worldwide. That is the reason it requires more focus on predicting the risk and identifying susceptible candidates to optimize risk and prevent the catastrophic events like sudden cardiac arrest (SCA) and sudden cardiac death. Role of cardiopulmonary resuscitation (CPR) is vital in such events. Several measures have been taken all over the world to make every person aware of SCA and cardiac compressions only CPR. Immediate intervention and advance cardiac life support requires for successful outcome. In this review we have studied the etiology, predictors, and treatment of sudden cardiac death.

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“…Our work is motivated by the challenge of predicting sudden cardiac arrest (SCA), a leading cause of death with complex pathophysiology [14–17]. In the United States, each year, there are approximately 400,000 SCAs resulting in death [18].…”

Section: Introductionmentioning

confidence: 99%

Clinical risk prediction with random forests for survival, longitudinal, and multivariate (RF-SLAM) data analysis

Wongvibulsin

Zeger

2019

BMC Med Res Methodol

127

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BackgroundClinical research and medical practice can be advanced through the prediction of an individual’s health state, trajectory, and responses to treatments. However, the majority of current clinical risk prediction models are based on regression approaches or machine learning algorithms that are static, rather than dynamic. To benefit from the increasing emergence of large, heterogeneous data sets, such as electronic health records (EHRs), novel tools to support improved clinical decision making through methods for individual-level risk prediction that can handle multiple variables, their interactions, and time-varying values are necessary.MethodsWe introduce a novel dynamic approach to clinical risk prediction for survival, longitudinal, and multivariate (SLAM) outcomes, called random forest for SLAM data analysis (RF-SLAM). RF-SLAM is a continuous-time, random forest method for survival analysis that combines the strengths of existing statistical and machine learning methods to produce individualized Bayes estimates of piecewise-constant hazard rates. We also present a method-agnostic approach for time-varying evaluation of model performance.ResultsWe derive and illustrate the method by predicting sudden cardiac arrest (SCA) in the Left Ventricular Structural (LV) Predictors of Sudden Cardiac Death (SCD) Registry. We demonstrate superior performance relative to standard random forest methods for survival data. We illustrate the importance of the number of preceding heart failure hospitalizations as a time-dependent predictor in SCA risk assessment.ConclusionsRF-SLAM is a novel statistical and machine learning method that improves risk prediction by incorporating time-varying information and accommodating a large number of predictors, their interactions, and missing values. RF-SLAM is designed to easily extend to simultaneous predictions of multiple, possibly competing, events and/or repeated measurements of discrete or continuous variables over time.Trial registration: LV Structural Predictors of SCD Registry (clinicaltrials.gov, NCT01076660), retrospectively registered 25 February 2010

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Sudden cardiac death

Abstract: Randomized clinical trials are underway to examine the utility of early coronary angiography in the treatment of post-arrest patients without ST-segment elevation.

Cited by 28 publications

References 51 publications

Diagnostic Roles of Postmortem cTn I and cTn T in Cardiac Death with Special Regard to Myocardial Infarction: A Systematic Literature Review and Meta-Analysis

Diagnostic Roles of Postmortem cTn I and cTn T in Cardiac Death with Special Regard to Myocardial Infarction: A Systematic Literature Review and Meta-Analysis

Sudden Cardiac Death: Can We Solve the Puzzle?

Clinical risk prediction with random forests for survival, longitudinal, and multivariate (RF-SLAM) data analysis

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