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: 3122
Function: getPubMedXML
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
Purpose: Frailty is defined as a state of decreased physiologic reserves arising from cumulative deficits in multiple homeostatic systems, which is important in the field of clinical oncology. We aimed to explore the relationship between preoperative frailty and adverse outcomes, and systematically analyze the factors influencing frailty based on the health ecology model among elderly gastric cancer patients.
Methods: A observational study was conducted to select 406 elderly patients who would undergo gastric cancer surgery at a tertiary hospital. The logistic regression model was used to examine the relationship between preoperative frailty and adverse outcomes, including total complications, prolonged length of stay (PLOS), and 90-day hospital readmission. Based on the health ecology model, the factors which may influence frailty were collected from four levels. Univariate and multivariate analysis were utilized to determine the factors influencing preoperative frailty.
Results: Preoperative frailty was associated with total complications (odds ratio [OR] 2.776, 95% confidence interval [CI] 1.588-4.852), PLOS (OR 2.338, 95%CI 1.342-4.073), and 90-day hospital readmission (OR 2.640, 95% CI 1.275-5.469). Besides, nutritional risk (OR 4.759, 95% CI 2.409-9.403), anemia (OR 3.160, 95% CI 1.751-5.701), number of comorbidity ≥ 2 (OR 2.318, 95% CI 1.253-4.291), low physical activity level (OR 3.069, 95% CI 1.164-8.092), apathetic attachment (OR 2.656, 95% CI 1.457-4.839), personal monthly income ≤ 1000 yuan (OR 2.033, 95% CI 1.137-3.635) and anxiety (OR 2.574, 95% CI 1.311-5.053) were independent risk factors for frailty. High physical activity level (OR 0.413, 95% CI 0.208-0.820) and improved objective support (OR 0.818, 95% CI 0.683-0.978) were independent protective factors for frailty.
Conclusions: Preoperative frailty was associated with multiple adverse outcomes and could be affected by factors of different dimensions from the health ecology perspective, including nutrition, anemia, comorbidity, physical activity, attachment style, objective support, anxiety, and income, which can guide the formation of a comprehensive prehabilitation for frailty among elderly gastric cancer patients.
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http://dx.doi.org/10.1007/s00432-023-04651-z | DOI Listing |
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