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
Introduction: Robotic-assisted metabolic and bariatric surgery (MBS) is gaining popularity. Revisional MBS is associated with higher perioperative morbidity compared to primary MBS. The optimal surgical approach to minimize complications in these complex cases is unclear. The goal of this study was to assess robot utilization in revisional MBS and compare laparoscopic and robotic revisional MBS outcomes in the Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program (MBSAQIP) database.
Methods: A retrospective review of the MBSAQIP database was performed identifying revisional sleeve gastrectomy (SG) and Roux-en-Y gastric bypass (RYGB) cases from 2015 to 2022. Primary MBS, open/emergent cases, cases converted to another approach, and combined cases other than esophagogastroduodenoscopy were excluded. 30-Day outcomes for laparoscopic and robotic cases were compared using multivariate logistic regression adjusting for patient demographics, comorbidities, and operative variables.
Results: 41,404 Cases (14,474 SG; 26,930 RYGB) were identified. From 2015 to 2022, the percentage of revisional SG and RYGB cases performed robotically increased from 6.1% and 7.3% to 24.2% and 32.0% respectively. Laparoscopic SG had similar rates of overall morbidity, leak, bleeding, readmission, reoperation, and length of stay compared to robotic. Laparoscopic RYGB had significantly higher rates of overall morbidity (6.2% vs. 4.8%, p < 0.001, AOR 0.80 [0.70-0.93]), blood transfusion (1.5% vs. 1.0%, p < 0.05, AOR 0.74 [0.55-0.99]), superficial incisional SSI (1.2% vs. 0.4%, p < 0.001, AOR 0.30 [0.19-0.47]), and longer length of stay (1.87 vs. 1.76 days, p < 0.001) compared to robotic. Laparoscopic operative times were significantly shorter than robotic (SG: 86.4 ± 45.8 vs. 113.5 ± 51.7 min; RYGB: 130.7 ± 64.7 vs. 165.5 ± 66.8 min, p < 0.001).
Conclusion: Robot utilization in revisional bariatric surgery is increasing. Robotic surgery has lower postoperative morbidity and shorter length of stay in revisional RYGB when compared to laparoscopic. Robotic platforms may have the capacity to improve the delivery of care for patients undergoing revisional bariatric surgery.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11525439 | PMC |
http://dx.doi.org/10.1007/s00464-024-11192-0 | DOI Listing |
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