Cargando…

Analysis of Perioperative Nursing Intervention Effect of Cerebrovascular Intervention Patients Based on Intelligent Internet of Things

The postoperative results of cerebrovascular surgery patients have been successfully used in medical practice using the Internet. The results obtained through data analysis were used in the study. So far, 120 patients who underwent cerebrovascular surgery from February 2018 to December 2018 have bee...

Descripción completa

Detalles Bibliográficos
Autores principales: Wen, Jiayu, Liu, Jing, Xiong, Wenping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9526590/
https://www.ncbi.nlm.nih.gov/pubmed/36193323
http://dx.doi.org/10.1155/2022/7800298
_version_ 1784800910574092288
author Wen, Jiayu
Liu, Jing
Xiong, Wenping
author_facet Wen, Jiayu
Liu, Jing
Xiong, Wenping
author_sort Wen, Jiayu
collection PubMed
description The postoperative results of cerebrovascular surgery patients have been successfully used in medical practice using the Internet. The results obtained through data analysis were used in the study. So far, 120 patients who underwent cerebrovascular surgery from February 2018 to December 2018 have been enrolled. The selected class was divided into two groups: 60 psychiatric patients, a control group and an observation group. The former is medical treatment and the latter is postoperative treatment. Results: The results showed that the blood pressure of control group was lower than that of control group, and the incidence of adverse events was lower than that of control group (P < 0.05). Meanwhile, the average hospitalization rate of cerebrovascular disease patients in control group was lower than that in control group (P < 0.05). Conclusion: For patients with cerebrovascular disease, postoperative nursing can reduce the incidence of postoperative complications, reduce the risk of surgery, and improve the effect of surgery. Acute ischemic stroke refers to a kind of clinical syndrome caused by abnormal blood supply in the brain, resulting in ischemia, hypoxic brain tissue necrosis, and focal or comprehensive neurological deficiency. Among them, progressive cerebral infarction accounted for about 20~35%, and most occurred in the early stage of the disease (48~72)h.
format Online
Article
Text
id pubmed-9526590
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-95265902022-10-02 Analysis of Perioperative Nursing Intervention Effect of Cerebrovascular Intervention Patients Based on Intelligent Internet of Things Wen, Jiayu Liu, Jing Xiong, Wenping Biomed Res Int Research Article The postoperative results of cerebrovascular surgery patients have been successfully used in medical practice using the Internet. The results obtained through data analysis were used in the study. So far, 120 patients who underwent cerebrovascular surgery from February 2018 to December 2018 have been enrolled. The selected class was divided into two groups: 60 psychiatric patients, a control group and an observation group. The former is medical treatment and the latter is postoperative treatment. Results: The results showed that the blood pressure of control group was lower than that of control group, and the incidence of adverse events was lower than that of control group (P < 0.05). Meanwhile, the average hospitalization rate of cerebrovascular disease patients in control group was lower than that in control group (P < 0.05). Conclusion: For patients with cerebrovascular disease, postoperative nursing can reduce the incidence of postoperative complications, reduce the risk of surgery, and improve the effect of surgery. Acute ischemic stroke refers to a kind of clinical syndrome caused by abnormal blood supply in the brain, resulting in ischemia, hypoxic brain tissue necrosis, and focal or comprehensive neurological deficiency. Among them, progressive cerebral infarction accounted for about 20~35%, and most occurred in the early stage of the disease (48~72)h. Hindawi 2022-09-24 /pmc/articles/PMC9526590/ /pubmed/36193323 http://dx.doi.org/10.1155/2022/7800298 Text en Copyright © 2022 Jiayu Wen et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Wen, Jiayu
Liu, Jing
Xiong, Wenping
Analysis of Perioperative Nursing Intervention Effect of Cerebrovascular Intervention Patients Based on Intelligent Internet of Things
title Analysis of Perioperative Nursing Intervention Effect of Cerebrovascular Intervention Patients Based on Intelligent Internet of Things
title_full Analysis of Perioperative Nursing Intervention Effect of Cerebrovascular Intervention Patients Based on Intelligent Internet of Things
title_fullStr Analysis of Perioperative Nursing Intervention Effect of Cerebrovascular Intervention Patients Based on Intelligent Internet of Things
title_full_unstemmed Analysis of Perioperative Nursing Intervention Effect of Cerebrovascular Intervention Patients Based on Intelligent Internet of Things
title_short Analysis of Perioperative Nursing Intervention Effect of Cerebrovascular Intervention Patients Based on Intelligent Internet of Things
title_sort analysis of perioperative nursing intervention effect of cerebrovascular intervention patients based on intelligent internet of things
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9526590/
https://www.ncbi.nlm.nih.gov/pubmed/36193323
http://dx.doi.org/10.1155/2022/7800298
work_keys_str_mv AT wenjiayu analysisofperioperativenursinginterventioneffectofcerebrovascularinterventionpatientsbasedonintelligentinternetofthings
AT liujing analysisofperioperativenursinginterventioneffectofcerebrovascularinterventionpatientsbasedonintelligentinternetofthings
AT xiongwenping analysisofperioperativenursinginterventioneffectofcerebrovascularinterventionpatientsbasedonintelligentinternetofthings