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Issue title: Special Section: Enabling Technologies for Healthcare 5.0
Guest editors: Chi Lin, Chang Wu Yu and Ning Wang
Article type: Research Article
Authors: Wu, Weihuaa | Chen, Jiea | An, Penga | Feng, Yangmeia | Li, Chenb | Zhang, Meiqia | Yu, Zhenfeia; *
Affiliations: [a] Department of Critical Care Medicine, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China | [b] Department of Acupuncture Rehabilitation, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
Correspondence: [*] Corresponding author: Zhenfei Yu, Department of Critical Care Medicine, Hangzhou TCM Hospital affiliated to Zhejiang Chinese Medical University, Hangzhou 311700, Zhejiang, China. E-mail: [email protected]; [email protected].
Abstract: BACKGROUND: The kidney is the most vulnerable organ in severe patients. In severe cases, the fatality rate of acute kidney damage is as high as 30% ∼ 60%. Severe ultrasound is a non-invasive method to evaluate renal blood flow. It can give a semi-quantitative score of renal blood flow and measure the Resistance Index (RI), which can reflect renal artery blood flow to a certain extent. OBJECTIVE: There is little literature on hemodynamic regulation in septic shock patients, but almost no research report on the relationship between hemodynamics and RI exists. Therefore, this paper proposed the analysis of severe ultrasound and gene diagnosis in cardiac index and peripheral vascular RI of shock patients. METHODS: This paper mainly expounded on detecting renal function parameters and RI in patients with viral shock to understand further the correlation between them and renal flow and RI. RESULTS: It could be seen from the experimental results that the P values before and after resuscitation in the two groups with and without elevated Cardiac Output (CO) were 0.41 and 0.12, respectively, which were more significant than 0.05. CONCLUSION: RI had no apparent relationship with CO, and RI could not be used as an evaluation index for patients with early septic shock.
Keywords: Severe ultrasound, shock patients, gene diagnosis, genetic algorithm
DOI: 10.3233/THC-231859
Journal: Technology and Health Care, vol. 32, no. 6, pp. 4785-4800, 2024
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