| Literature DB >> 34306604 |
Yu Liu1, Yanchun Zhao2, Xia Gong3, Ying Zhang4.
Abstract
Traumatic vision is an important factor that causes people to have a vision. In our country, the vast majority of vision is caused by trauma. To understand the role of optic nerve decompression in the treatment of traumatic visual disturbances based on the pathological states of traumatic visual disturbances and intelligent Internet of tumors medical nasal endoscopy optic nerve decompression. This article collects relevant information by investigating patients, investigating relevant literature, interviewing professionals, etc., constructing a case template and using a comprehensive quantitative and qualitative analysis method to create a damage assessment matrix. The results of the study found that most traumatic vision disorders occur in the young and middle-aged stage, which is more than three times that of other age groups. The permanent blindness rate of patients reaches 8%, which is extremely harmful. Optic canal decompression surgery can play a great role in the treatment of patients. It can greatly reduce the patient's neurological damage. The effect is about 30% higher than that of general treatment methods, and it can also play a certain role in the prognosis of rehabilitation. It can effectively prevent related postoperative complications. This shows that optic canal decompression in the treatment of traumatic vision disorders should attract people's attention and increase research and development efforts and promotion efforts so that optic canal decompression can be used in the diagnosis and treatment of patients with traumatic vision disorders based on smart Internet of things China can play a greater role.Entities:
Mesh:
Year: 2021 PMID: 34306604 PMCID: PMC8266442 DOI: 10.1155/2021/9999863
Source DB: PubMed Journal: J Healthc Eng ISSN: 2040-2295 Impact factor: 2.682
Figure 1The application of endoscopy in medicine (from image.baidu.com).
Causes of visual impairment in recent years.
| Causes | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 |
|---|---|---|---|---|---|---|---|---|---|---|
| Corneal scar | 24 | 34 | 38 | 25 | 27 | 35 | 39 | 30 | 28 | 34 |
| Corneal degeneration | 29 | 24 | 26 | 34 | 33 | 29 | 37 | 41 | 46 | 43 |
| Congenital visual impairment | 21 | 17 | 16 | 13 | 22 | 9 | 11 | 15 | 10 | 21 |
| Caused by trauma | 24 | 25 | 29 | 31 | 25 | 29 | 33 | 35 | 37 | 40 |
| Unknown reason | 23 | 25 | 34 | 29 | 26 | 34 | 36 | 35 | 39 | 41 |
Figure 2Number of visually impaired patients.
Classification of people with visual impairment.
| Corneal scar | Corneal degeneration | Congenital visual | Caused by trauma | Unknown reason | |
|---|---|---|---|---|---|
| 0–12 | 3 | 8 | 11 | 7 | 8 |
| 13–26 | 66 | 88 | 31 | 47 | 18 |
| 27–45 | 57 | 61 | 99 | 36 | 26 |
| 46–60 | 32 | 91 | 87 | 53 | 13 |
| Over 60 | 27 | 42 | 51 | 21 | 9 |
Figure 3Age distribution of patients.
Patient SPN classification.
| Congenital | Benign | Internal injury caused | Caused by trauma |
| |
|---|---|---|---|---|---|
| Optic nerve | 83.88 ± 3.77 | 78.56 ± 8.23 | 88.35 ± 5.78 | 79.26 ± 2.38 |
|
| Filter | 5.69 ± 4.32 | 8.79 ± 3.58 | 17.23 ± 4.85 | 15.32 ± 3.51 |
|
| Daily life | 12.34 ± 5.81 | 7.56 ± 4.25 | 8.48 ± 3.45 | 5.23 ± 2.01 |
|
| Motion capture | 9.24 ± 3.52 | 13.52 ± 4.72 | 27.89 ± 5.32 | 25.34 ± 3.17 |
|
| Static capture | 4.25 ± 2.35 | 9.25 ± 3.14 | 12.47 ± 4.91 | 11.37 ± 4.17 |
|
Figure 4Schematic diagram of patient intranasal classification (from image.baidu.com).
Figure 5Schematic diagram of intranasal classification of patients with internal injuries (from image.baidu.com).
Figure 6Schematic diagram of intranasal classification of trauma patients (from image.baidu.com).
Living habits of patients.
| Risk factors | Cardiogenic infarction | Noncardiac infarction | Sum |
|
|---|---|---|---|---|
| Age ≥75 | 35 | 21 | 56 | 0.038 |
| Male | 60 | 18 | 78 | 0.052 |
| Smoking | 34 | 9 | 43 | 0.032 |
| Drinking | 22 | 7 | 29 | 0.014 |
| Hypertension | 82 | 37 | 119 | 0.013 |
| Diabetes | 32 | 12 | 44 | 0.023 |
| Hyperlipidemia | 34 | 13 | 47 | 0.027 |
| Hyperhomocysteinemia | 46 | 24 | 70 | 0.095 |
Living habits of patients.
| Risk factors | OR | 95% CI |
|
|---|---|---|---|
| Age ≥75 | 0.935 | 0.378–1.853 | 0.038 |
| Male | 1.325 | 0.628–2.987 | 0.052 |
| Smoking | 1.337 | 0.425–3.286 | 0.032 |
| Drinking | 2.014 | 0.537–7.638 | 0.014 |
| Hypertension | 0.382 | 0.172–1.253 | 0.013 |
| Diabetes | 1.079 | 0.489–2.356 | 0.023 |
| Hyperlipidemia | 3.158 | 1.289–7.895 | 0.027 |
| Hyperhomocysteinemia | 0.856 | 0.477–2.235 | 0.095 |
Figure 7Rehabilitation effect of patients with different lifestyle habits.