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
Lumbar spinal fusion is a common procedure for treating spinal degenerative diseases. Percutaneous endoscopic lumbar interbody fusion (PELIF) is a minimally invasive technique that has gained popularity. However, the factors influencing fusion success rates after PELIF have not been well-studied. This single-center retrospective study reviewed the medical records of 96 patients who underwent single-level PELIF for degenerative pathologies between 2018 and 2020. Fusion was evaluated using thin-slice computed tomography scans at 12 months by 2 independent radiologists and defined as no detectable lucency between bone and graft. Patients were categorized into fusion and non-fusion groups. Data on age, operative time, blood loss, drainage, hospital stay, surgical level, osteoporosis, endplateitis, body mass index, lumbar curvature, and bone morphogenetic protein (BMP) use were collected. Univariate tests (chi-square, Student's t-test, and analysis of variance) were employed to compare factors between groups. Significant factors were included in a multivariate logistic regression model with fusion as the dependent variable. The overall fusion success rate was 85.6% (86 fusion and 10 non-fusion). Univariate analysis revealed significant differences in age, osteoporosis, hypertension, diabetes, endplateitis, and BMP use between groups. Multivariate analysis identified osteoporosis (odds ratio (OR)=5.44, 95% CI, P < .05) and end-plate osteochondritis (OR=10.449, 95% CI, P < .05) as independent risk factors for non-fusion. The use of BMP and endplateitis are significant factors that affect bone fusion outcomes after the PELIF procedure. These factors should be taken into account in order to improve postoperative bone fusion. Level IV, Therapeutic Study.
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Source |
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http://dx.doi.org/10.5152/j.aott.2024.23142 | DOI Listing |
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