A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 197

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1075
Function: getPubMedXML

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3195
Function: GetPubMedArticleOutput_2016

File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 317
Function: require_once

Cross-sectional study on the connection between collateral status and cognitive impairment after stroke based on neural regulation and protein metabolism. | LitMetric

Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Background: Post-stroke cognitive impairment (PSCI), a common complication following stroke, significantly impacts patients' quality of life and prognosis. Research indicates that neuroregulation and protein metabolic disorders play crucial roles in the development of PSCI.

Purpose: This study aimed to evaluate the reliability of the Regional Meningoarterial Score (rLMC) in determining collateral circulation status in acute ischaemic stroke patients.

Method: Participants were selected based on specific criteria including MRI-detected recent cerebral infarction, absence of prior large-scale subcortical infarction or haemorrhage, and no history of Alzheimer's disease or cognitive impairment.

Results: The results showed that cognitive impairment group (CI group) exhibited significantly lower serum acetylcholine levels compared to normal control group (CN group), while β-amyloid protein levels were markedly higher. CI group also demonstrated reduced expression of neuroregulatory factors.

Conclusion: These findings demonstrate that neuroregulatory factors and protein metabolites can serve as potential biomarkers for early diagnosis and intervention, effectively predicting post-stroke cognitive impairment.

Download full-text PDF

Source
http://dx.doi.org/10.1080/13813455.2025.2556009DOI Listing

Publication Analysis

Top Keywords

cognitive impairment
16
post-stroke cognitive
8
group group
8
cognitive
5
group
5
cross-sectional study
4
study connection
4
connection collateral
4
collateral status
4
status cognitive
4

Similar Publications