Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Objectives: To explore heterogeneous subgroups of the overall health condition in the older coronary heart disease patients with stent implantation and identify their predictors.
Methods: A cross-sectional study was surveyed in Hunan, China. Participants completed the general information questionnaire and PROMIS Profile-57. Latent class analysis was performed, followed by analysis of variance, chi-square test, Fisher's exact test and multinomial logistic regression.
Results: A total of 564 patients were investigated and three classes of health condition were identified. The heterogeneity was correlated with age, gender, residence, education background, occupation property before retirement, drinking situation, duration of CHD diagnosis, cardiac function class and duration after stent implantation. Additionally, all older adults who have undergone stenting reported poor physical function.
Conclusions: 75 years or older, female, low level of education, serious cardiac dysfunction characterize the subgroup with the heaviest burden. Precise management should be performed for older adult patients with different health condition based on their predictors.
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Source |
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http://dx.doi.org/10.1016/j.gerinurse.2024.10.009 | DOI Listing |
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