Background: This study aims to use the National Surgical Quality Improvement Program database to identify factors associated with extended postoperative length of stay after breast reconstruction with free tissue transfer.
Methods: Consecutive cases of breast reconstruction with free tissue transfer were retrieved from the National Surgical Quality Improvement Program (2005 to 2017) database using CPT code 19364. Extended length of stay (dependent variable) was defined as greater than 5 days.
Results: Nine thousand six hundred eighty-six cases were analyzed; extended length of stay was noted in 34 percent. On regression, patient factors independently associated with extended length of stay were body mass index (OR, 1.5; 95 percent CI, 1.2 to 1.9; p < 0.001), diabetes (OR, 1.3; 95 percent CI, 1.1 to 1.6; p = 0.003), and malignancy history (OR, 1.9; 95 percent CI, 1.22 to 3.02; p = 0.005). Operation time greater than 500 minutes (OR, 3; 95 percent CI, 2.73 to 3.28; p < 0.001) and immediate postmastectomy reconstruction (OR, 1.7; 95 percent CI, 1.16 to 2.48; p < 0.001) conferred risk for extended length of stay. Bilateral free tissue transfer was not significant. Operations performed in 2017 were at lower risk (OR, 0.2; 95 percent CI, 0.06 to 0.81; p = 0.02) for extended length of stay. Reoperation is more likely following operative transfusion and bilateral free tissue transfers, but less likely following concurrent alloplasty. Given a known operation time (minutes), postoperative length of stay (days) can be calculated using the following equation: length of stay = 2.559 + 0.003 × operation time.
Conclusions: This study characterizes the risks for extended length of stay after free tissue transfer breast reconstruction using a prospective multicenter national database. The result of this study can be used to risk-stratify patients during surgical planning to optimize perioperative decision-making.
Clinical Question/level Of Evidence: Risk, III.
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http://dx.doi.org/10.1097/PRS.0000000000007420 | DOI Listing |
J Infect Dev Ctries
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Students' Research Committee, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Introduction: Inflammation plays a role in coronavirus disease 2019 (COVID-19) pathophysiology and anti-inflammatory drugs may help reduce the disease severity. Levamisole is an anthelmintic drug with immunomodulatory and possible antiviral effects. This study aimed to evaluate the role of levamisole in the treatment of patients with COVID-19.
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Department of Neurological Surgery, University of Miami Miller School of Medicine, 1095 NW 14th Terrace, 2nd Floor, Miami, Fl, 33136, USA.
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Department of General Surgery, Shaoxing Central Hospital (The Central Affiliated Hospital, Shaoxing University), Shaoxing, 312030, Zhejiang Province, China.
Ventral hernias pose a prevalent challenge in abdominal wall surgery, with ongoing advancements in repair techniques designed to enhance patient outcomes. This study evaluates the efficacy, safety, and socio-economic impact of Totally Extraperitoneal Sublay Repair (TES) versus Laparoscopic Intraperitoneal Onlay Mesh Repair (IPOM) for small to medium-sized ventral hernias, with a particular focus on postoperative quality of life and patient satisfaction. A retrospective cohort study was conducted, encompassing 125 patients who underwent ventral hernia repair between May 2018 and November 2023.
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Optimal fluid strategy for laparoscopic donor nephrectomy (LDN) remains unclear. LDN has been a domain for liberal fluid management to ensure graft perfusion, but this can result in adverse outcomes due to fluid overload. We compared postoperative outcome of living kidney donors according to the intraoperative fluid management.
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January 2025
Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China
Aims: To investigate the associations between influencing factors with length of stay (LOS) and hospitalisation expenses in oral cancer (OC) patients, and to explore the potential pathways through which these factors influence hospitalisation expenses using path analysis.
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