Using GH-Method: Math-Physical Medicine to Investigate the Risk Probability of Metabolic Disorders Induced Cardiovascular Diseases, Stroke, and Renal Complications

Gerald C. Hsu
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引用次数: 1

Abstract

Volume 1(2): 1-4 Introduction The author uses GH-Method: math-physical medicine (MPM) approach to investigate two clinical cases A and B of risk probability on metabolic disorders induced cardiovascular diseases (CVD) or stroke (“Risk”). He addresses the multiple correlations among three metabolic bio markers, i.e. body weight, glucose, and blood pressure (BP), which are also closely related to both CVD and stroke. He further examines Case A’s bladder and renal complications due to diabetes and hypertension.
利用GH-Method:数学-物理医学研究代谢性疾病诱发心血管疾病、中风和肾脏并发症的风险概率
作者采用GH-Method:数学-物理医学(MPM)方法,对两例临床病例A和B进行代谢性疾病诱发心血管疾病(CVD)或中风(“风险”)的风险概率调查。他阐述了三种代谢生物标志物之间的多重相关性,即体重、葡萄糖和血压(BP),它们也与心血管疾病和中风密切相关。他进一步检查了病例A因糖尿病和高血压引起的膀胱和肾脏并发症。
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