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Nursing Effect of Stellate Ganglion Block on Cerebral Infarction Based on Message Authentication Code Diameter Algorithm

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Objective: To investigate the influence of stellate ganglion block on the prognosis of patients with hypertensive intracerebral hemorrhage according to the inclusion criteria and whether the complications such as rebleeding and pulmonary infection are related to the occurrence of complications such as recurrent hemorrhage and pulmonary infection. The use of ganglion blockade in the clinical application of cerebrovascular disease and possible risks. Methods: A total of 138 patients with hypertensive intracerebral hemorrhage who were treated with different treatments in neurosurgery from March 2013 to December 2015 were included in the study. Among them, 67 patients in the treatment group (MAC diameter algorithm stellate ganglion block + conventional treatment) and 71 patients in the control group were collected. The medical records of the two groups were collected for retrospective analysis. Result: There was a difference in the prognosis between the two groups (P = 0.042). There was a difference in the prognosis between the early planetary ganglion block and the late planetary ganglion block in the treatment group (P = 0.043). There were no statistically significant differences between the two groups in the incidence of pulmonary infection (P = 0.194) and rebleeding (P = 0.856) during treatment. Conclusion: Stellate ganglion block is helpful for the prognosis of patients with hypertensive intracerebral hemorrhage. Based on MAC diameter algorithm, stellate ganglion block as a minimally invasive, simple, safe and easy-to-use minimally invasive treatment method has certain curative effect on patients with hypertensive cerebral hemorrhage, especially in early application, which is worthy of clinical promotion.

Keywords: CEREBRAL INFARCTION; MAC DIAMETER ALGORITHM; NURSING EFFECT; STELLATE GANGLION BLOCK

Document Type: Research Article

Publication date: 01 February 2020

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  • Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas.
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