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Journal of Cardiology Research Review & Reports最新文献

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Relationship between Metabolism and Risk of Cardiovascular Disease and Stroke, Risk of Chronic Kidney Disease, and Probability of Pancreatic Beta Cells Self-Recovery Using GH-Method: MathPhysical Medicine (No. 259) 代谢与心血管疾病和中风风险、慢性肾脏疾病风险和胰腺β细胞自我恢复概率的关系——用gh方法:数学物理医学(第259期)
Journal of Cardiology Research Review & Reports Pub Date : 2020-06-30 DOI: 10.47363/jcrrr/2020(1)114
Gerald C. Hsu
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引用次数: 1
Three-Dimensional Speckle Tracking Echocardiography for the Assessment of Cardiac Function in Newborns with Extra- Cardiac Diseases 三维斑点跟踪超声心动图评价新生儿心脏外疾病的心功能
Journal of Cardiology Research Review & Reports Pub Date : 2020-06-30 DOI: 10.47363/jcrrr/2020(1)113
Asmaa Elmesiry
{"title":"Three-Dimensional Speckle Tracking Echocardiography for the Assessment of Cardiac Function in Newborns with Extra- Cardiac Diseases","authors":"Asmaa Elmesiry","doi":"10.47363/jcrrr/2020(1)113","DOIUrl":"https://doi.org/10.47363/jcrrr/2020(1)113","url":null,"abstract":"Neonatal heart could be affected by extracardiac diseases as neonatal sepsis, neonatal pneumonia, hypoxic-ischemic encephalopathy. Cardiac function in neonates can’t be accurately assessed using conventional methods. Advanced echocardiographic parameters can be used to evaluate neonatal cardiac function as Tissue Doppler Imaging (TDI) and speckle tracking echocardiography. This study aimed at assessing the role of three-dimensional speckle tracking echocardiography (3D-STE) in detection of subclinical myocardial dysfunction in newborns with common extra-cardiac neonatal diseases. In this work; 100 asymptomatic cardiac newborns with extra-cardiac neonatal diseases were included as a patient group. Fifty healthy newborns of matched age, sex, and weight served as a control group. Laboratory investigations in the form of complete blood count (CBC), liver function test, renal function test, capillary blood gas, serum electrolytes, cardiac troponin I (cTnT-I) and N-terminal Pro-BNP were drawn. Complete echocardiographic evaluation of the left ventricular (LV) function was performed in the form of conventional echo, tissue Doppler imaging (TDI), 2-dimensional speckle tracking echocardiography (2D-STE) and 3-dimensional speckle tracking echocardiography (3D-STE). cTnT-I and N-terminal Pro-BNP levels were significantly higher in the patient group than the control group. Conventional echocardiography showed normal systolic and diastolic function of the LV. Diastolic function (by TDI) was significantly lower in the patient group than control group. 2D-STE and 3D-STE examination showed that there was a significant decrease in all components of strain in the patient group compared to the control group. In conclusion; 3D-STE is a good tool for prediction of silent cardiac dysfunction in newborns with extracardiac neonatal diseases","PeriodicalId":430938,"journal":{"name":"Journal of Cardiology Research Review & Reports","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114500583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Covid-19 as a Cause of Pneumonia and Diffuse Peripheral Pulmonary Embolism. Early Anticoagulant Treatment to Prevent Thrombi Formation Covid-19是肺炎和弥漫性外周肺栓塞的病因。早期抗凝治疗预防血栓形成
Journal of Cardiology Research Review & Reports Pub Date : 2020-06-30 DOI: 10.47363/jcrrr/2020(1)107
S. Spagnolo
{"title":"Covid-19 as a Cause of Pneumonia and Diffuse Peripheral Pulmonary Embolism. Early Anticoagulant Treatment to Prevent Thrombi Formation","authors":"S. Spagnolo","doi":"10.47363/jcrrr/2020(1)107","DOIUrl":"https://doi.org/10.47363/jcrrr/2020(1)107","url":null,"abstract":"This hypothesis could explain both the radiological pictures, commonly found in intensive care and the sudden death. Recent autopsy studies performed on 50 patients, who died for covid19, at the Brescia Hospital (Italy), have detected remarkable distension (up to 20 times) of the pulmonary vessels and the presence of thrombi inside them. Vascular dilatation and thrombi could be an expression of severe obstruction of the downstream pulmonary circulation. ISSN: 2634 6796","PeriodicalId":430938,"journal":{"name":"Journal of Cardiology Research Review & Reports","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133983020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Risk Probability of Having a Cardiovascular Disease or Stroke Using Annual Segmented Data of Glucose and Metabolism Index (GH Method: Math-Physical Medicine) 利用年度葡萄糖和代谢指数分段数据分析心血管疾病或中风的风险概率(GH方法:数学-物理医学)
Journal of Cardiology Research Review & Reports Pub Date : 2020-06-30 DOI: 10.47363/jcrrr/2020(1)112
Gerald C. Hsu
{"title":"Risk Probability of Having a Cardiovascular Disease or Stroke Using Annual Segmented Data of Glucose and Metabolism Index (GH Method: Math-Physical Medicine)","authors":"Gerald C. Hsu","doi":"10.47363/jcrrr/2020(1)112","DOIUrl":"https://doi.org/10.47363/jcrrr/2020(1)112","url":null,"abstract":"Method In 2014, the author applied topology concept, finite-element engineering technique, and nonlinear algebra operations to develop a mathematical metabolism model which contains ten categories including four output categories (weight, glucose, BP, and other lab-tested data including lipid & ACR), and six input categories (food, water drinking, exercise, sleep, stress, routine life patterns and safety measures). These 10 metabolism categories include approximately 500 detailed elements. He further defined a new parameter referred to as the metabolism index (MI) that has a combined score of the above 10 metabolism categories with 500 elements. Since 2012, he has collected and stored ~2 million data of his own body health conditions and personal lifestyle details.","PeriodicalId":430938,"journal":{"name":"Journal of Cardiology Research Review & Reports","volume":"889 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116279274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
From a Public Health Point of View to Investigate the Control of Obesity, Diabetes, and Cardiovascular Risk Via Nutrition and Exercise (GH-Method: Math-Physical Medicine) 从公共卫生角度探讨营养和运动对肥胖、糖尿病和心血管风险的控制(GH-Method:数学-物理医学)
Journal of Cardiology Research Review & Reports Pub Date : 2020-06-30 DOI: 10.47363/jcrrr/2020(1)109
Gerald C. Hsu
{"title":"From a Public Health Point of View to Investigate the Control of Obesity, Diabetes, and Cardiovascular Risk Via Nutrition and Exercise (GH-Method: Math-Physical Medicine)","authors":"Gerald C. Hsu","doi":"10.47363/jcrrr/2020(1)109","DOIUrl":"https://doi.org/10.47363/jcrrr/2020(1)109","url":null,"abstract":"Methods The author spent 23,000 hours during the past 8.5 years using math-physical medicine to conduct his research. He has collected and processed ~1.5 million data, including ~300,000 medical conditions, and ~1.2 million lifestyle details. He then utilized the GH-Method: math-physical medicine (MPM) which involves advanced mathematics, optical physics, signal processing, energy and wave theories, statistics, big data analytics, machine learning, artificial intelligence to develop five prediction models, including weight, FPG, PPG, adjusted glucose, and HbA1C.","PeriodicalId":430938,"journal":{"name":"Journal of Cardiology Research Review & Reports","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131276612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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