In:
Frontiers in Neurology, Frontiers Media SA, Vol. 14 ( 2023-2-21)
Kurzfassung:
To understand the varieties, evaluation, treatment, and prognosis of severe neurological diseases using the third NCU survey in China. Design A cross-sectional questionnaire study. The study was completed in three main steps: filling in the questionnaire, sorting out the survey data, and analyzing the survey data. Results Of 206 NCUs, 165 (80%) provided relatively complete information. It was estimated that 96,201 patients with severe neurological diseases were diagnosed and treated throughout the year, with an average fatality rate of 4.1%. The most prevalent severe neurological disease was cerebrovascular disease (55.2%). The most prevalent comorbidity was hypertension (56.7%). The most prevalent complication was hypoproteinemia (24.2%). The most common nosocomial infection was hospital-acquired pneumonia (10.6%). The GCS, APACHE II, EEG, and TCD were the most commonly used (62.4–95.2%). The implementation rate of the five nursing evaluation techniques reached 55.8–90.9%. Routinely raising the head of the bed by 30°, endotracheal intubation and central venous catheterization were the mostprevalent treatment strategies (97.6, 94.5, and 90.3%, respectively). Traditional tracheotomy, invasive mechanical ventilation and nasogastric tube feeding (75.8, 95.8, and 95.8%, respectively) were more common than percutaneous tracheotomy, non-invasive mechanical ventilation and nasogastric tube insertion (57.6, 57.6, and 66.7%, respectively). Body surface hypothermia brain protection technology was more commonly used than intravascular hypothermia technology (67.3 & gt; 6.1%). The rates of minimally invasive hematoma removal and ventricular puncture were only 40.0 and 45.5%, respectively. Conclusion In addition to traditional recognized basic life assessment and support technology, it is necessary to the use of promote specialized technology for neurological diseases, according to the characteristics of critical neurological diseases.
Materialart:
Online-Ressource
ISSN:
1664-2295
DOI:
10.3389/fneur.2023.1114204
DOI:
10.3389/fneur.2023.1114204.s001
DOI:
10.3389/fneur.2023.1114204.s002
Sprache:
Unbekannt
Verlag:
Frontiers Media SA
Publikationsdatum:
2023
ZDB Id:
2564214-5
