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
Background: Despite their asymptomatic occurrence, unruptured intracranial aneurysms (UIAs) account for a significant proportion of hospital charges and healthcare resource utilization in the United States. Hospital length of stay (LOS) is a reimbursement metric utilized to incentivize value-based care. Our study identifies predictors of extended LOS (eLOS) after elective treatment of UIAs.
Methods: This was a retrospective study of 525 patients who underwent elective treatment of an UIA at a single institution. Data were collected with regard to demographics, clinical presentation, treatment characteristics, and postoperative outcomes. The primary outcome, eLOS, was defined as hospital stay in the upper quartile of the median (≥75th percentile). Univariate and multivariate analyses were performed to identify factors predictive of eLOS in this cohort.
Results: The average age of the cohort was 61.40, standard deviation=11.41. 77.3% of the cohort was female. The median duration of LOS was 2 days (interquartile range: 1-5). 11.6% experienced eLOS (≥5 days). Multivariate logistic regression identified age (OR: 1.04, 95% confidence interval [CI]: 1.01-1.07), coexistent vascular pathology (OR: 21.33, 95% CI: 8.06-56.39), open surgery (OR: 3.93, 95% CI: 1.85-8.34), and postoperative stroke (OR: 11.72, 95% CI: 3.18-43.18) as independent predictors of eLOS.
Conclusions: Our study identified predictors of eLOS that could help promote risk stratification prior to treatment of UIAs. Future research that identifies predictors of long-term outcomes based on treatment modality could help identify ways to improve healthcare resource utilization in this cohort.
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Source |
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http://dx.doi.org/10.1016/j.wneu.2024.07.070 | DOI Listing |
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