The impact of race/ethnicity on pancreaticoduodenectomy outcomes for pancreatic cancer.

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.

Simplified preoperative tool predicting discharge destination after major oncologic gastrointestinal surgery.

BACKGROUND: Preoperatively identifying patients who will require discharge to extended care facilities (ECFs) after major cancer surgery is valuable. This study compares existing models and derives a simple, preoperative tool for predicting discharge destination after major oncologic gastrointestinal surgery. METHODS: The American College of Surgeon National Surgical Quality Improvement datasets were used to evaluate existing risk stratification and frailty assessment tools between the years 2011 and 2015. A novel tool for predicting discharge to ECF was developed in the 2011-2015 dataset and subsequently validated in the 2016 dataset. RESULTS: Major resections were analyzed for 61 683 malignancies: 6.9% esophagus, 5.3% stomach, 20.0% liver, 21.0% pancreas, and 46.8% colon/rectum. The overall ECF discharge rate was 9.1%. The American Society of Anesthesiologist score, 11-point modified frailty index (mFI), and 5-point abbreviated modified frailty index (amFI) demonstrated only moderate discrimination in predicting ECF discharge (c-statistic: 0.63-0.65). In contrast, our weighted cancer cancer abbreviated modified frailty index (camFI) score demonstrated improved discrimination with c-statistic of 0.73. The camFI displayed >90% negative predictive value for ECF discharge at every operative site. CONCLUSION: The camFI is a simple tool that can be used preoperatively to counsel patients on their risk of ECF discharge, and to identify patients with the least need for ECF discharge after major oncologic gastrointestinal surgery.

Chest vs. neck anastomotic leak post esophagectomy for malignancy: rate, predictors, and outcomes.

Background: Anastomotic leak is a major contributor to comorbidity and mortality following esophagectomy. We sought to assess rate and predictors of leak after esophagectomy and compare outcomes of chest versus neck anastomotic leaks. Methods: A retrospective review was performed utilizing National-Surgical-Quality-Improvement-Program data from 2016-2019 for patients undergoing esophagectomy for malignancy. Preoperative characteristics and postoperative outcomes were compared. Patients were classified into two groups: Ivor Lewis esophagectomy [ILE, chest leak (CL)] and transhiatal esophagectomy (THE)/McKeown esophagectomy [ME, neck leak (NL)]. Multivariable regression models were constructed to determine predictors of each type of leak and postoperative complications. Results: A total of 1,665 patients underwent esophagectomy with 14.1% reported post-operative leak, 61% of patients underwent ILE while 39% underwent THE or ME. Of patients who underwent ILE, 13.8% had CL with complications including significantly higher length of stay and mortality compared to patients without leak. Independent predictors of CL included: diabetes, hypertension, advanced disease stage, chronic steroid use, and operative time. Ninety-five patients (14.6%) who underwent either THE or ME had NL with similar complications. Diabetes, pre-operative white blood cell (WBC), and operative time were independent predictors for NL. On multivariable regression, CL was associated with greater odds of requiring intervention compared with NL. Conclusions: Post-esophagectomy CL and NL are associated with higher morbidity and mortality. Diabetes and operative time were independent predictors for both leaks while steroid use, hypertension, and advanced disease stage predicted CL. CL was associated with greater odds of needing an intervention, but contrary to conventional wisdom, was not associated with higher morbidity or mortality.

Real-Time Peer-to-Peer Observation and Feedback Lead to Improvement in Oral Presentation Skills.

Background Oral case presentation is a vital skill in many fields, particularly in medicine, and is taught early on in medical schools. However, there is a diminished focus on the development of this skill during the clinical years. In this study, we investigated whether the implementation of a formal teaching strategy during the internal medicine clerkship rotation can lead to an improvement in oral presentation skills. Methodology Students received an introductory PowerPoint lecture and saw brief video presentations summarizing the key components of a successful oral presentation. Subsequently, students were asked to evaluate their peers while they presented during morning rounds using a standardized feedback form in the first and the second half of their rotation. Using the information gained from the feedback form, students provided verbal feedback on the quality of oral presentations to their peers. Results A total of 64 students participated in this curriculum at a university-affiliated teaching hospital, and a total of 409 evaluations were completed. The average total score during the first and the second rotation period was 93.0% (standard deviation, SD = 9.8) and 96.9% (SD = 7.1), respectively. Improvement in the total score of 3.7% points was seen in the entire cohort, with an average improvement of 64% (or 1.64 times) in the probability of obtaining a full score during the second rotation. Conclusions Our data show improvement in scores between collection blocks using an educational strategy. This study emphasizes the fact that peer-to-peer evaluations helped in the refinement of oral presentation skills.

Trends in open lobectomy outcomes for lung cancer over the last 15 years: national cohort.

OBJECTIVE: Adoption of thoracoscopic lobectomy has been increasing in the US; however, open lobectomy (OL) is still performed in half of the cases. Postoperative care and enhanced recovery after surgery (ERAS) pathways have evolved and improved outcomes. The study aims to evaluate postoperative outcomes of OL over the last 15 years. METHODS: Patients who underwent lobectomy for lung cancer between 2005 and 2019 were identified in the National Surgical Quality Improvement Program and divided into three groups; pre-ERAS (2005-2011), transitional period (2012-2015), and wider ERAS implementation (2016-2019). Preoperative characteristics and postoperative outcomes were compared and multivariable regression analysis was constructed to assess independent predictors of outcomes. RESULTS: OL was comprised of 40% of lobectomies for lung cancer. 10,021 patients met inclusion criteria. 49% were males and mean age was 67. Patients who belonged to the (2016-2019) period group had significantly higher comorbidities and ASA classification. General surgeons performed < 10% of OL in 2016-2019 compared to over 30% during 2005-2011. Patients in the 2016-2019 period were less likely to experience unplanned intubation, surgical site infections, and sepsis. Mortality was also significantly lower than the previous groups (1.9% vs 2.0% and 2.8%, p = 0.05). The rate of discharge to facility as well as length of hospital stays improved over the years. The surgeon specialty served as an independent predictor for length of stay, unplanned intubation, and home discharge. CONCLUSION: The outcomes of OL are improving over the years. Increasing number of these surgeries being performed by dedicated thoracic surgeons and ERAS pathways are likely helping improve outcomes.

Utilization of Supplemental Regional Anesthesia in Lobectomy for Lung Cancer in the United States: A Retrospective Study.

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.

Mortality and costs associated with acute kidney injury following major elective, non-cardiac surgery.

OBJECTIVE: This study evaluated postoperative AKI severity and its relation to short- and long-term patient outcomes. DESIGN: A retrospective, single-center cohort study of patients undergoing surgery from January 2015 to May 2020. SETTING: An urban, academic medical center. PATIENTS: Adult patients undergoing elective, non-cardiac surgery at our institution with a postoperative length of stay (LOS) of at least 24 h were included. Patients were included in 1-year mortality analysis if their procedure occurred prior to June 2019. INTERVENTIONS: None. MEASUREMENTS: Postoperative AKI was identified and staged using the Kidney Disease Improving Global Outcomes definitions. The outcomes analyzed were in-hospital mortality, LOS, total cost of the surgical hospitalization, and 1-year mortality. MAIN RESULTS: Of the 8887 patients studied, 648 (7.3%) had postoperative AKI. AKI was associated with severity-dependent increases in all outcomes studied. Patients with AKI had rates of in-hospital mortality of 2.0%, 3.8%, and 12.5% for stage 1, 2, and 3 AKI compared to 0.3% for patients without AKI. Mean total costs of the surgical hospitalization were $23,896 (SD $23,736) for patients without AKI compared to $33,042 (SD $27,115), $39,133 (SD $34,006), and $73,216 ($82,290) for patients with stage 1, 2, and 3 AKI, respectively. In the 6729 patients who met inclusion for 1-year mortality analysis, AKI was also associated with 1-year mortality rates of 13.9%, 19.4%, and 22.7% compared to 5.2% for patients without AKI. In multivariate models, stage 1 AKI patients still had a higher probability of 1-year mortality (OR 1.9, 95% CI 1.3-2.6, p < 0.001) in addition to $4391 of additional costs when compared to patients without AKI (95% CI $2498-$6285, p < 0.001). CONCLUSIONS: All stages of postoperative AKI were associated with increased LOS, surgical hospitalization costs, in-hospital mortality, and 1-year mortality. These findings suggest that patients with even a low-grade or stage 1 AKI are at higher risk for short- and long-term complications.

Assessment of Grouped Weighted Quantile Sum Regression for Modeling Chemical Mixtures and Cancer Risk.

Individuals are exposed to a large number of diverse environmental chemicals simultaneously and the evaluation of multiple chemical exposures is important for identifying cancer risk factors. The measurement of a large number of chemicals (the exposome) in epidemiologic studies is allowing for a more comprehensive assessment of cancer risk factors than was done in earlier studies that focused on only a few chemicals. Empirical evidence from epidemiologic studies shows that chemicals from different chemical classes have different magnitudes and directions of association with cancers. Given increasing data availability, there is a need for the development and assessment of statistical methods to model environmental cancer risk that considers a large number of diverse chemicals with different effects for different chemical classes. The method of grouped weighted quantile sum (GWQS) regression allows for multiple groups of chemicals to be considered in the model such that different magnitudes and directions of associations are possible for each group of chemicals. In this paper, we assessed the ability of GWQS regression to estimate exposure effects for multiple chemical groups and correctly identify important chemicals in each group using a simulation study. We compared the performance of GWQS regression with WQS regression, the least absolute shrinkage and selection operator (lasso), and the group lasso in estimating exposure effects and identifying important chemicals. The simulation study results demonstrate that GWQS is an effective method for modeling exposure to multiple groups of chemicals and compares favorably with other methods used in mixture analysis. As an application, we used GWQS regression in the California Childhood Leukemia Study (CCLS), a population-based case-control study of childhood leukemia in California to estimate exposure effects for many chemical classes while also adjusting for demographic factors. The CCLS analysis found evidence of a positive association between exposure to the herbicide dacthal and an increased risk of childhood leukemia.

Bayesian Group Index Regression for Modeling Chemical Mixtures and Cancer Risk.

There has been a growing interest in the literature on multiple environmental risk factors for diseases and an increasing emphasis on assessing multiple environmental exposures simultaneously in epidemiologic studies of cancer. One method used to analyze exposure to multiple chemical exposures is weighted quantile sum (WQS) regression. While WQS regression has been demonstrated to have good sensitivity and specificity when identifying important exposures, it has limitations including a two-step model fitting process that decreases power and model stability and a requirement that all exposures in the weighted index have associations in the same direction with the outcome, which is not realistic when chemicals in different classes have different directions and magnitude of association with a health outcome. Grouped WQS (GWQS) was proposed to allow for multiple groups of chemicals in the model where different magnitude and direction of associations are possible for each group. However, GWQS shares the limitation of WQS of a two-step estimation process and splitting of data into training and validation sets. In this paper, we propose a Bayesian group index model to avoid the estimation limitation of GWQS while having multiple exposure indices in the model. To evaluate the performance of the Bayesian group index model, we conducted a simulation study with several different exposure scenarios. We also applied the Bayesian group index method to analyze childhood leukemia risk in the California Childhood Leukemia Study (CCLS). The results showed that the Bayesian group index model had slightly better power for exposure effects and specificity and sensitivity in identifying important chemical exposure components compared with the existing frequentist method, particularly for small sample sizes. In the application to the CCLS, we found a significant negative association for insecticides, with the most important chemical being carbaryl. In addition, for children who were born and raised in the home where dust samples were taken, there was a significant positive association for herbicides with dacthal being the most important exposure. In conclusion, our approach of the Bayesian group index model appears able to make a substantial contribution to the field of environmental epidemiology.

Fenton vs. Intergrowth-21st: Postnatal Growth Assessment and Prediction of Neurodevelopment in Preterm Infants.

Although the survival rate of preterm infants has improved over the years, growth failure and associated impaired neurodevelopmental outcome remains a significant morbidity. Optimal nutrition plays an important role in achieving adequate postnatal growth. Accurate growth monitoring of preterm infants is critical in guiding nutritional protocols. Currently, there is no consensus regarding which growth assessment tool is suitable for monitoring postnatal growth of preterm infants to foster optimal neurodevelopmental outcomes while avoiding future consequences of aggressive nutritional approaches including increased risk for cardiovascular disease and metabolic syndrome. A retrospective single center cohort study was conducted to compare the performance of two growth-assessment tools, Fenton and Intergrowth-21st (IG-21st) in the classification of size at birth, identification of impaired growth and predicting neurodevelopment. A total of 340 infants with mean gestational age of 30 weeks were included. Proportion of agreement between the two tools for identification of small for gestational age (SGA) was high 0.94 (0.87, 0.1) however, agreement for classification of postnatal growth failure at discharge was moderate 0.6 (0.52, 0.69). Growth failure at discharge was less prevalent using IG-21st. There was significant association between weight-based growth failure and poor neurodevelopmental outcomes at 12 and 24 months of age.