| Literature DB >> 34900174 |
Xue Yang1,2, Qiong Cheng1,2, Yunfei Li1,2, Zheng Zheng1,2, Junpeng Liu1,2, Zhenhua Zhao1,2.
Abstract
Subarachnoid hemorrhage (SAH) is a serious disease caused by blood flow into the subarachnoid space due to rupture of blood vessels. All diseases that cause intracranial hemorrhage are the cause of subarachnoid hemorrhage. Among them, due to the particularity of intracranial blood vessels, intracranial blood vessels are more prone to aneurysms than other parts. Therefore, the incidence of aneurysmal subarachnoid hemorrhage (aSAH) is extremely high. The purpose of this article is to study the clinical treatment and prognosis analysis of aSAH patients. This article first summarizes the current status of SAH research at home and abroad and summarizes its potential value and significance. On this basis, an in-depth study of the clinical treatment of aSAH patients has been carried out. The physiological mechanism and clinical general differences of aSAH were studied and analyzed. This article systematically describes the application of CTP in the treatment and prognosis analysis of aSAH patients. Then, it will use a comparative analysis method, interdisciplinary method, and other research forms to carry out experimental research on the theme of this article. Research shows that rebleeding and blood sodium are the main factors for cerebral ischemia caused by aSAH.Entities:
Mesh:
Year: 2021 PMID: 34900174 PMCID: PMC8660210 DOI: 10.1155/2021/1250334
Source DB: PubMed Journal: J Healthc Eng ISSN: 2040-2295 Impact factor: 2.682
Figure 1Distribution of aneurysms.
Comparison of clinical data between different groups.
| Number of cases | Percentages (%) |
|
| ||
|---|---|---|---|---|---|
| Level of consciousness | Wide awake | 40 | 54.8 | 0.7 | 0.12 |
| Lethargy | 15 | 20.5 | |||
| Hazy | 5 | 6.8 | |||
| Restlessness | 3 | 4.1 | |||
| Light coma | 7 | 9.6 | |||
| Deep coma | 3 | 4.1 | |||
|
| |||||
| GCS score | 3–8 | 11 | 13.7 | 0.03 | 0.02 |
| 9–13 | 12 | 16.4 | |||
| 14–15 | 50 | 68.5 | |||
Figure 2Intracranial structure extraction algorithm framework.
Comparison of GOS scores between different fluid volume groups.
| 1000–2500 | 2500–3500 | 3500–5500 |
|
| |
|---|---|---|---|---|---|
| Group 1 | 5.00 | 4.86 | 4.33 | 2.91 | 0.07 |
| Group 2 | 4.60 | 4.38 | 3.80 | 1.16 | 0.33 |
| Group 3 | 5.00 | 3.40 | 2.50 | 3.43 | 0.10 |
Figure 3Comparison of GOS scores between different fluid volume groups.
Different group regression status analysis.
| OR value | 95% CI |
| |
|---|---|---|---|
| NLR | 1.628 | 0.203 | 0.001 |
| GCS | 0.680 | 0.482 | 0.034 |
| Bleeding again | 9.687 | 0.174 | 0.028 |
| Blood sodium | 0.792 | 0.648 | 0.024 |
Figure 4Different group regression status analysis.