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Background Pulmonary lobectomy is the standard of care for the treatment of early-stage non-small cell lung cancer. This study investigated the rate of utilization of supplemental anesthesia in patients undergoing video-assisted thoracoscopic surgery (VATS) or open lobectomy using a national database and assessed the effect of regional block (RB) on postoperative outcomes. Methods Patients who underwent lobectomy for lung cancer between 2014–2019 were identified in the American College of Surgeons National Surgical Quality Improvement Program. The patients’ primary mode of anesthesia and supplemental anesthesia were recorded. Preoperative characteristics and postoperative outcomes were compared between 2 surgical groups those who underwent general anesthesia (GA) alone versus GA with RB. Multivariable regression analyses were performed on the outcomes of interest. Results In total, 13,578 patients met the study criteria, with 87% undergoing GA and the remaining 13% receiving GA and RB. The use of neuraxial anesthesia decreased over the years, while RB use increased up to 20% in 2019. Age, body mass index, and preoperative comorbidities were comparable between groups. Patients who underwent VATS were more likely to receive RB than those who underwent thoracotomy. RB was most often utilized by thoracic surgeons. An adjusted analysis showed that RB use was associated with shorter hospital stays and a reduced likelihood of prolonged length of stay, but a higher rate of surgical site infections (SSIs). Conclusion In a large surgical database, there was underutilization of supplemental anesthesia in patients undergoing lobectomy for lung cancer. RB utilization was associated with a shorter length of hospital stay and an increase in SSI incidence.

Purpose: To investigate the impact of race/ethnicity on surgical outcomes following pancreaticoduodenectomy for pancreatic cancer. Methods: A retrospective review of patients undergoing pancreaticoduodenectomy for adenocarcinoma in the National Surgical Quality Improvement Program (NSQIP) database from 2014 to 2019. Patient and tumor characteristics and 30-day postoperative outcomes were compared. Multivariable logistic and linear regression models were conducted to investigate the relationship between race/ethnicity and surgical outcomes.Results: Six thousand five hundred and sixty-two patients were included (84.5% White, 7.9% Black, 3% Hispanic, 4.6% Asian). Larger proportions of Blacks had preoperative American Society of Anesthesiologists class 3 or 4. There were no significant differences in tumor characteristics or operative techniques. A smaller proportion of Asians and Hispanics received neoadjuvant chemotherapy and/or radiation than Blacks and Whites. Relative to White, the Black race was independently associated with postoperative sepsis and reoperation. Both Black and Hispanic race/ ethnicity were associated with prolonged intubation and delayed gastric emptying, and minorities races/ethnicities were associated with longer length of hospital stay.Relative to White, Hispanic, and Asian race/ethnicity were independently associated with a lower likelihood of neoadjuvant therapy (NAT) receipt. Conclusion:In ACS-NSQIP participating hospitals, non-White race/ethnicity was independently associated with adverse outcomes after pancreatic cancer resection. A possible disparity in NAT receipt may exist in Asian and Hispanic patients undergoing surgical resection.

Objective: Breast cancer is the most commonly diagnosed malignancy in US women. Risk assessment tools such as the Gail and Tyrer-Cuzick (TC) models calculate risk for breast cancer based on modifiable and non-modifiable factors in order to guide screening and prevention for high-risk patients. Screening with magnetic resonance imaging (MRI) in addition to mammography is recommended in high-risk patients (>20% lifetime risk on TC or other familial based models). Currently, no published data indicate these recommendations improve cancer detection. Materials and Methods:With the aim to determine what percentage lifetime risk (LR%) is associated with a statistically significant increase in cancer detection, the Virginia Commonwealth University (VCU) breast imaging database was reviewed to identify patients who received screening MRI. Results:The receiver operating characteristics (ROC) curves for the Gail and TC models and the rate of cancer detection correlated to 20% LR% were calculated. The Gail model was considered the control model as it is NOT considered a validated screening tool for MRI. TC is not more accurate than Gail when predicting benefit of breast MRI screening. (area under the curve (AUC): 0.6841, 0.6543 respectively, p = 0.828). Univariate analysis failed to demonstrate a statistically significant relationship between the Gail or TC LR % and diagnosis of breast cancer when using 20% as the cutoff for high-risk classification (p = 1.0, 0.369 respectively). Neither the TC nor the Gail risk calculators demonstrated a significant correlation between risk and the likelihood of diagnosis of breast cancer when screened with MRI. Conclusion:Larger cohort studies are necessary to determine the risk percentage most predictive of a breast cancer diagnosis using MRI as screening.

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