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Improvement of sudden cardiac death risk prediction by enhanced ACC/AHA strategy in Chinese patients with hypertrophic cardiomyopathy.

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Improvement of sudden cardiac death risk prediction by enhanced ACC/AHA strategy in Chinese patients with hypertrophic cardiomyopathy.

Heart Rhythm. 2020 Apr 17;:

Authors: Liu J, Wu G, Zhang C, Ruan J, Wang D, Zhang M, Wang L, Yang Y, Li X, Wang Y, Hui R, Zou Y, Kang L, Wang J, Song L

Abstract
BACKGROUND: The lack of validated and effective sudden cardiac death (SCD) risk prediction method is the biggest barrier to perform the lifesaving treatment of prophylactic implantable cardioverter defibrillator (ICD) in Chinese patients with hypertrophic cardiomyopathy (HCM).
OBJECTIVE: This study aimed to evaluate the efficacy of three existing SCD risk prediction methods, namely 2011 American College of Cardiology Foundation and American Heart Association (ACCF/AHA) guideline, 2014 European Society of Cardiology (ESC) guideline and 2019 enhanced ACC/AHA strategy in Chinese patients with HCM.
METHODS: The present study consisted of 1369 consecutive adult HCM patients without a history of SCD events. The primary endpoint was a composite of SCD and equivalent events, namely resuscitation from cardiac arrest and appropriate ICD shock therapy for ventricular tachycardia or fibrillation.
RESULTS: During follow-up of 3.2±2.4 years, 39 patients reached SCD endpoints, among which 26 (66.7%) were correctly predicted as high-risk of SCD by 2019 enhanced ACC/AHA strategy, 20 (51.3%) by 2011 ACCF/AHA guideline, but only 5 (12.8%) by 2014 ESC guideline, prospectively. The 2019 enhanced ACC/AHA strategy showed higher C-statistics (0.647) for SCD prediction than 2011 ACCF/AHA guideline (0.598) and 2014 ESC guideline (0.605), and resulted in correct reclassification of SCD risk when compared with 2011 ACCF/AHA (Net Reclassification Index=0.113, P=0.074) and 2014 ESC guideline (Net Reclassification Index=0.245, P=0.038).
CONCLUSION: The 2019 enhanced ACC/AHA strategy showed better predictive performance for SCD risk stratification in Chinese HCM patients, with a notably high sensitivity.

PMID: 32311532 [PubMed – as supplied by publisher]

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Nevin Manimala Statistics

Mathematicians put famous Battle of Britain ‘what if’ scenarios to the test

Mathematicians have developed a new model to explore what the impact of changes to Luftwaffe tactics would actually have been. Their approach uses statistical modelling to calculate how the Battle might have played out if history had followed one of several alternative courses.
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How human social structures emerge

What rules shaped humanity’s original social networks? The earliest social networks were tightly knit cultural groups made of multiple biologically related families. That single group would then develop relationships with other cultural groups in their local area. Researchers used statistical physics and computer models common in evolutionary biology to explain the origin of common community structures documented by cultural anthropologists around the world.
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Supercomputers help link quantum entanglement to cold coffee

Theoretical physicists have found a deep link between one of the most striking features of quantum mechanics — quantum entanglement — and thermalization, which is the process in which something comes into thermal equilibrium with its surroundings.
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New artificial intelligence algorithm better predicts corn yield

With some reports predicting the precision agriculture market will reach $12.9 billion by 2027, there is an increasing need to develop sophisticated data-analysis solutions that can guide management decisions in real time. A new study offers a promising approach to efficiently and accurately process precision agricultural data.
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Psychiatry: Five clearly defined patterns

Psychiatrists have used a computer-based approach to assign psychotic patients diagnosed as bipolar or schizophrenic to five different subgroups. The method could lead to better therapies for psychoses.
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What is an individual? Information Theory may provide the answer

Despite the near-universal assumption of individuality in biology, there is little agreement about what individuals are and few rigorous quantitative methods for their identification. A new approach may solve the problem by defining individuals in terms of informational processes.
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Deep learning to analyze neurological problems

Getting to the doctor’s office for a check-up can be challenging for someone with a neurological disorder that impairs their movement, such as a stroke. But what if the patient could just take a video clip of their movements with a smart phone and forward the results to their doctor?