1.Risk factors and warning signs of sudden cardiac death.
Acta Academiae Medicinae Sinicae 2008;30(2):218-223
Sudden cardiac death (SCD) is the most common death mode. No test has been able to accurately predict SCD. This article reviews the risk factors and warning signs of SCD with an attempt to effectively prevent SCD events.
Death, Sudden, Cardiac
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etiology
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pathology
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prevention & control
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Humans
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Risk Factors
4.Cardiac Disease Associated Genetic Variants in Yi Nationality in Regions with High Incidence of Yunnan Sudden Unexplained Death.
Kai LIU ; Yue Bing WANG ; Jin Liang DU ; Peng Fei QU ; Lin MA ; Xue TANG ; Yan Mei XI ; Yong Qiang QU ; Yu Hua LI ; Pu Ping LEI ; Sheng Jie NIE
Journal of Forensic Medicine 2020;36(4):497-501
Objective To explore the association of cardiac disease associated genetic variants and the high incidence of Yunnan sudden unexplained death (YNSUD) in Yi nationality. Methods The genomic DNA was extracted from peripheral blood samples collected from 205 Yi villagers from YNSUD aggregative villages (inpatient group) and 197 healthy Yi villagers from neighboring villages (control group). Fifty-two single nucleotide variants (SNVs) of 25 cardiac disease associated genes were genotyped using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS). The SPSS 17.0 was used to analyze data. The pathogenicities of variants with differences between the two groups that have statistical significance were predicted by protein function prediction software PolyPhen-2 and SIFT. All villagers from inpatient group were given electrocardiogram (ECG) examination using a 12-lead electrocardiograph. Results The allele frequency and the genotype frequency of missense mutation DSG2 (rs2278792, c.2318G>A, p.R773K) of pathogenic genes of arrhythmogenic right ventricular cardiomyopathy (ARVC) in inpatient group was higher than that in control group (P<0.05). Abnormal ECG changes were detected in 71 individuals (34.6%) in the inpatient group, among which 54 individuals carried R773K mutation, including clockwise (counterclockwise) rotation, left (right) axis deviation, ST segment and T wave alteration and heart-blocking. Conclusion Definite pathogenic mutations have not been found in the 52 cardiac disease genes associated SNVs detected in Yi nationality in regions with high incidence of YNSUD. The cause of high incidence of YNSUD in Yi nationality needs further study.
Arrhythmogenic Right Ventricular Dysplasia
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China/epidemiology*
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Death, Sudden/etiology*
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Death, Sudden, Cardiac/etiology*
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Ethnicity/genetics*
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Humans
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Incidence
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Mutation
5.Male Pseudohermaphroditism Presented with Sudden Cardiac Arrest.
Jaemin SHIM ; Hye Jin HWANG ; Hui Nam PAK ; Moon Hyoung LEE ; Boyoung JOUNG
Yonsei Medical Journal 2012;53(3):658-661
Torsades de Pointes is a life-threatening arrhythmia associated with a number of causes, but is very rare among endocrinologic disorders. We report a case of male pseudohermaphroditism with hyperaldosteronism due to a 17alpha-hydroxylase deficiency presented with sudden cardiac arrest.
46, XY Disorders of Sex Development/*diagnosis/drug therapy
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Adult
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Death, Sudden, Cardiac/*etiology/*pathology
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Female
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Humans
6.One case report of sudden death due to ruptured aortic sinus aneurysm into right ventricle.
Hui-fang MA ; Guo-hua XUE ; Shou-yan ZHANG
Chinese Journal of Cardiology 2011;39(11):1048-1049
Adult
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Aortic Rupture
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pathology
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Death, Sudden, Cardiac
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etiology
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Heart Ventricles
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pathology
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Humans
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Male
7.Research Progress of the Relationship between SUNDS and OSAHS.
Ye Da WU ; Li Yong ZHANG ; Jian Ding CHENG
Journal of Forensic Medicine 2017;33(1):52-57
Sudden unexplained nocturnal death syndrome (SUNDS) is always a difficulty in forensic medicine researches. Although the development of molecular genetics promotes the etiologic study of SUNDS, the pathogenesis of most such cases is still unclear. Sleep apnea syndrome (SAS) is one of the common forms of sleep disorders, and obstructive sleep apnea hypopnea syndrome (OSAHS) is the most common. In recent years, some domestic and international researches show that OSAHS is related to the development of cardiovascular disease, which may cause cardiac arrhythmia, even sudden death. This article reviews the relationship between SUNDS and OSAHS and aims to provide new ideas for the pathogenesis of SUNDS.
Arrhythmias, Cardiac
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Brugada Syndrome/pathology*
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Death, Sudden/etiology*
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Humans
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Male
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Sleep Apnea, Obstructive/pathology*
8.Impact of Myocardial Infarction and Abnormalities of Cardiac Conduction System on Sudden Cardiac Death.
Ru Ying SONG ; Run Tao DING ; Wen CUI
Journal of Forensic Medicine 2017;33(2):171-174
Sudden cardiac death (SCD), most commonly seen in coronary heart disease, is a kind of sudden death caused by series of cardiac parameters, which usually combines with myocardial infarction. However, some SCDs (including early myocardial infarction) happen suddenly and cause death in a very short time. In these circumstances, typical morphological changes are lack in macroscopic or microscopic fields, which make such SCDs become the emphasis and difficulty in the present research. SCD caused by myocardial infarction and abnormalities of cardiac conduction system (CCS) is related to atherosclerosis of coronary artery closely. This paper reviews cardiac dysfunction caused by myocardial infarction and diseases of CCS from morphology and molecular biology, and explores potential relationship between them. This paper aims to provide clues to the mechanism of myocardial infarction related sudden death and possible assistance for forensic diagnosis of SCD.
Coronary Disease
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Death, Sudden, Cardiac/etiology*
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Heart Conduction System/physiopathology*
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Humans
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Myocardial Infarction/physiopathology*
9.Deep Learning-Based Cardiac Imaging Data Measurement and Its Application in Diagnosis of Sudden Cardiac Death.
Ze Hao LI ; Ning Guo LIU ; He Wen DONG ; Lian Jie LI ; Heng Hui HE ; Li Hua LIN ; Qian LIU ; Ming Zhen YANG
Journal of Forensic Medicine 2021;37(4):546-554
In the field of forensic medicine, diagnosis of sudden cardiac death is limited by subjective factors and manual measurement methods, so some parameters may have estimation deviation or measurement deviation. As postmortem CT imaging plays a more and more important role in the appraisal of cause of death and cardiopathology research, the application of deep learning such as artificial intelligence technology to analyze vast amounts of cardiac imaging data has provided a possibility for forensic identification and scientific research workers to conduct precise diagnosis and quantitative analysis of cardiac diseases. This article summarizes the main researches on deep learning in the field of cardiac imaging in recent years, and proposes a feasible development direction for the application of deep learning in the virtual anatomy of sudden cardiac death at present.
Artificial Intelligence
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Autopsy
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Death, Sudden, Cardiac/etiology*
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Deep Learning
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Forensic Medicine
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Humans