The United States experience with diagnosing and treating esophageal cancer during the SARS-CoV-2 pandemic: A retrospective cohort study.

The downstream effects on healthcare delivery during the initial wave of the COVID-19 pandemic remain unclear. The purpose of this study was to determine how the healthcare environment surrounding the pandemic affected the oncologic care of patients diagnosed with esophageal cancer. This was a retrospective cohort study evaluating patients in the National Cancer Database (2019-2020). Patients with esophageal cancer diagnoses were divided into pre-pandemic (2019) and pandemic (2020) groups. Patient demographics, cancer-related variables, and treatment modalities were compared. Among 26,231 esophageal cancer patients, 14,024 patients (53.5%) were in the pre-pandemic cohort and 12,207 (46.5%) were in the pandemic cohort. After controlling for demographics, patients diagnosed during the pandemic were more likely to have poorly differentiated tumors (odds ratio [OR] 1.24, 95% confidence interval [CI] 1.08-1.42), pathologic T3 disease compared to T1 (OR 1.25, 95% CI 1.02-1.53), positive lymph nodes on pathology (OR 1.36, 95% CI 1.14-1.64), and to be pathologic stage IV (OR 1.51, 95% CI 1.29-1.76). After controlling for oncologic characteristics, patients diagnosed during the pandemic were more likely to require at least two courses of systemic therapy (OR 1.78, 95% CI 1.48-2.14) and to be offered palliative care (OR 1.13, 95% CI 1.04-1.22). While these patients were offered curative therapy at lower rates, this became non-significant after risk-adjustment (p = .15). The pandemic healthcare environment was associated with significantly increased risk-adjusted rates of patients presenting with advanced esophageal cancer. While this led to significant differences in treatment, most of these differences became non-significant after controlling for oncologic factors.

Preoperative Prediction of Postoperative Infections Using Machine Learning and Electronic Health Record Data.

OBJECTIVE: To estimate preoperative risk of postoperative infections using structured electronic health record (EHR) data. BACKGROUND: Surveillance and reporting of postoperative infections is primarily done through costly, labor-intensive manual chart reviews on a small sample of patients. Automated methods using statistical models applied to postoperative EHR data have shown promise to augment manual review as they can cover all operations in a timely manner. However, there are no specific models for risk-adjusting infectious complication rates using EHR data. METHODS: Preoperative EHR data from 30,639 patients (2013-2019) were linked to the American College of Surgeons National Surgical Quality Improvement Program preoperative data and postoperative infection outcomes data from 5 hospitals in the University of Colorado Health System. EHR data included diagnoses, procedures, operative variables, patient characteristics, and medications. Lasso and the knockoff filter were used to perform controlled variable selection. Outcomes included surgical site infection, urinary tract infection, sepsis/septic shock, and pneumonia up to 30 days postoperatively. RESULTS: Among >15,000 candidate predictors, 7 were chosen for the surgical site infection model and 6 for each of the urinary tract infection, sepsis, and pneumonia models. Important variables included preoperative presence of the specific outcome, wound classification, comorbidities, and American Society of Anesthesiologists physical status classification. The area under the receiver operating characteristic curve for each model ranged from 0.73 to 0.89. CONCLUSIONS: Parsimonious preoperative models for predicting postoperative infection risk using EHR data were developed and showed comparable performance to existing American College of Surgeons National Surgical Quality Improvement Program risk models that use manual chart review. These models can be used to estimate risk-adjusted postoperative infection rates applied to large volumes of EHR data in a timely manner.

Using Implementation Science in Surgical Care: A Scoping Review.

OBJECTIVE: Improvement of surgical care is dependent upon evidence-based practices (EBPs), policies, procedures, and innovations. The objective of this study was to understand and synthesize the use of implementation science (IS) in surgical care. SUMMARY BACKGROUND DATA: This article summarizes the existing literature to identify the frequency and types of EBPs selected for surgical care, IS frameworks that guided the published research, and prominent facilitators and barriers. METHODS: A modified version of the Arksey and O'Malley framework and the Preferred Reporting Items for Systematic Reviews and Meta-analyses Extension for Scoping Reviews Checklist were used to provide the guidance and standards to conduct this scoping review. We queried: Ovid MEDLINE; American Psychological Association PsycINFO; Embase; Cumulated Index to Nursing and Allied Health Literature; Web of Science; and Google Scholar for manuscripts published January 2001 - June 2023. RESULTS: The initial search found 3,674 citations of which 129 met inclusion criteria. The heterogeneity and volume of innovations within the surgical IS field were vast. The most frequent innovations were in peri-operative care, safety in surgery, and Enhanced Recovery After Surgery. Six constructs were identified as both major facilitators and barriers: support from leadership; surgeon and staff knowledge regarding EBPs; relationship/team building; environmental context; data; and resources. CONCLUSION: Identifying these implementation factors used in the surgical field enables us to determine variables that support and inhibit the adoption and implementation of new practices, support practice change, enhance quality and equity of surgical care, and identify research gaps for future IS in surgical care.

Anatomic Lung Resection Outcomes After Implementation of a Universal Thoracic ERAS Protocol Across a Diverse Health Care System.

OBJECTIVE: We sought to evaluate how implementing a thoracic enhanced recovery after surgery (ERAS) protocol impacted surgical outcomes after elective anatomic lung resection. BACKGROUND: The effect of implementing the ERAS Society/European Society of Thoracic Surgery thoracic ERAS protocol on postoperative outcomes throughout an entire health care system has not yet been reported. METHODS: This was a prospective cohort study within one health care system (January 2019-March, 2023). A thoracic ERAS protocol was implemented on May 1, 2021 for elective anatomic lung resections, and postoperative outcomes were tracked using the electronic health record and Vizient data. The primary outcome was overall morbidity; secondary outcomes included individual complications, length of stay, opioid use, chest tube duration, and total cost. Patients were grouped into pre-ERAS and post-ERAS cohorts. Bivariable comparisons were performed using independent t -test, χ 2 , or Fisher exact tests, and multivariable logistic regression was performed to control for confounders. RESULTS: There were 1007 patients in the cohort; 450 (44.7%) were in the post-ERAS group. Mean age was 66.2 years; most patients were female (65.1%), white (83.8%), had a body mass index between 18.5 and 29.9 (69.7%), and were ASA class 3 (80.6%). Patients in the postimplementation group had lower risk-adjusted rates of any morbidity, respiratory complication, pneumonia, surgical site infection, arrhythmias, infections, opioid usage, ICU use, and shorter postoperative length of stay (all P <0.05). CONCLUSIONS: Postoperative outcomes were improved after the implementation of an evidence-based thoracic ERAS protocol throughout the health care system. This study validates the ERAS Society/European Society of Thoracic Surgery guidelines and demonstrates that simultaneous multihospital implementation can be feasible and effective.

The Effect of Laparoscopic Gastric Ischemic Preconditioning Prior to Esophagectomy on Anastomotic Stricture Rate and Comparison with Esophagectomy-Alone Controls.

BACKGROUND: Benign anastomotic stricture is a recognized complication following esophagectomy. Laparoscopic gastric ischemic preconditioning (LGIP) prior to esophagectomy has been associated with decreased anastomotic leak rates; however, its effect on stricture and the need for subsequent endoscopic intervention is not well studied. METHODS: This was a case-control study at an academic medical center using consecutive patients undergoing oncologic esophagectomies (July 2012-July 2022). Our institution initiated an LGIP protocol on 1 January 2021. The primary outcome was the occurrence of stricture within 1 year of esophagectomy, while secondary outcomes were stricture severity and frequency of interventions within the 6 months following stricture. Bivariable comparisons were performed using Chi-square, Fisher's exact, or Mann-Whitney U tests. Multivariable regression controlling for confounders was performed to generate risk-adjust odds ratios and to identify the independent effect of LGIP. RESULTS: Of 253 esophagectomies, 42 (16.6%) underwent LGIP prior to esophagectomy. There were 45 (17.7%) anastomotic strictures requiring endoscopic intervention, including three patients who underwent LGIP and 42 who did not. Median time to stricture was 144 days. Those who underwent LGIP were significantly less likely to develop anastomotic stricture (7.1% vs. 19.9%; p = 0.048). After controlling for confounders, this difference was no longer significant (odds ratio 0.46, 95% confidence interval 0.14-1.82; p = 0.29). Of those who developed stricture, there was a trend toward less severe strictures and decreased need for endoscopic dilation in the LGIP group (all p < 0.20). CONCLUSION: LGIP may reduce the rate and severity of symptomatic anastomotic stricture following esophagectomy. A multi-institutional trial evaluating the effect of LGIP on stricture and other anastomotic complications is warranted.

The deimplementation of laboratory testing in low-risk patients as recommended by the American society of anesthesiologists: An ACS-NSQIP longitudinal analysis.

BACKGROUND: In 2012, the American Society of Anesthesiologists (ASA) published guidelines recommending against routine preoperative laboratory testing for low-risk patients to reduce unnecessary medical expenditures. The aim of this study was to assess the change in routine preoperative laboratory testing in low-risk versus higher-risk patients before and after release of these guidelines. METHODS: The ACS-NSQIP database, 2005-2018, was separated into low-risk versus higher-risk patients based upon a previously published stratification. The guideline implementation date was defined as January 2013. Changes in preoperative laboratory testing over time were compared between low- and higher-risk patients. A difference-in-differences model was applied. The primary outcome included any laboratory test obtained ≤90 days prior to surgery. RESULTS: Of 7,507,991 patients, 972,431 (13.0%) were defined as low-risk and 6,535,560 (87.0%) higher-risk. Use of any preoperative laboratory test declined in low-risk patients from 66.5% before to 59.6% after guidelines, a 6.9 percentage point reduction, versus 93.0%-91.9% in higher-risk patients, a 1.1 percentage point reduction (p < 0.0001, comparing percentage point reductions). After risk-adjustment, the adjusted odds ratio for having any preoperative laboratory test after versus before the guidelines was 0.77 (95% CI 0.76-0.78) in low-risk versus 0.93 (0.92-0.94) in higher-risk patients. In low-risk patients, lack of any preoperative testing was not associated with worse outcomes. CONCLUSIONS: While a majority of low-risk patients continue to receive preoperative laboratory testing not recommended by the ASA, there has been a decline after implementation of guidelines. Continued effort should be directed at the deimplementation of routine preoperative laboratory testing for low-risk patients.

Preoperative Prediction of Unplanned Reoperation in a Broad Surgical Population.

INTRODUCTION: Unplanned reoperation is an undesirable outcome with considerable risks and an increasingly assessed quality of care metric. There are no preoperative prediction models for reoperation after an index surgery in a broad surgical population in the literature. The Surgical Risk Preoperative Assessment System (SURPAS) preoperatively predicts 12 postoperative adverse events using 8 preoperative variables, but its ability to predict unplanned reoperation has not been assessed. This study's objective was to determine whether the SURPAS model could accurately predict unplanned reoperation. METHODS: This was a retrospective analysis of the American College of Surgeons' National Surgical Quality Improvement Program adult database, 2012-2018. An unplanned reoperation was defined as any unintended operation within 30 d of an initial scheduled operation. The 8-variable SURPAS model and a 29-variable "full" model, incorporating all available American College of Surgeons' National Surgical Quality Improvement Program nonlaboratory preoperative variables, were developed using multiple logistic regression and compared using discrimination and calibration metrics: C-indices (C), Hosmer-Lemeshow observed-to-expected plots, and Brier scores (BSs). The internal chronological validation of the SURPAS model was conducted using "training" (2012-2017) and "test" (2018) datasets. RESULTS: Of 5,777,108 patients, 162,387 (2.81%) underwent an unplanned reoperation. The SURPAS model's C-index of 0.748 was 99.20% of that for the full model (C = 0.754). Hosmer-Lemeshow plots showed good calibration for both models and BSs were similar (BS = 0.0264, full; BS = 0.0265, SURPAS). Internal chronological validation results were similar for the training (C = 0.749, BS = 0.0268) and test (C = 0.748, BS = 0.0250) datasets. CONCLUSIONS: The SURPAS model accurately predicted unplanned reoperation and was internally validated. Unplanned reoperation can be integrated into the SURPAS tool to provide preoperative risk assessment of this outcome, which could aid patient risk education.

Does Work Relative Value Unit Measure Surgical Complexity for Risk Adjustment of Surgical Outcomes?

INTRODUCTION: The purpose of this study was to determine whether the work relative value unit (workRVU) of a patient's operation can be useful as a measure of surgical complexity for the risk adjustment of surgical outcomes. METHODS: We retrospectively analyzed the American College of Surgeon's National Surgical Quality Improvement Program database (2005-2018). We examined the associations of workRVU of the patient's primary operation with preoperative patient characteristics and associations with postoperative complications. We performed forward selection multiple logistic regression analysis to determine the predictive importance of workRVU. We then generated prediction models using patient characteristics with and without workRVU and compared c-indexes to assess workRVU's additive predictive value. RESULTS: 7,507,991 operations were included. Patients who were underweight, functionally dependent, transferred from an acute care hospital, had higher American Society of Anesthesiologists class or who had medical comorbidities had operations with higher workRVU (all P < 0.0001). The subspecialties with the highest workRVU were neurosurgery (mean = 22.2), thoracic surgery (mean = 21.1), and vascular surgery (mean = 18.8) (P < 0.0001). For all postoperative complications, mean workRVU was higher for patients with the complication than those without (all P < 0.0001). For eight of 12 postoperative complications, workRVU entered the logistic regression models as a predictor variable in the 1st to 4th steps. Addition of workRVU as a preoperative predictive variable improved the c-index of the prediction models. CONCLUSIONS: WorkRVU was associated with sicker patients and patients experiencing postoperative complications and was an important predictor of postoperative complications. When added to a prediction model including patient characteristics, it only marginally improved prediction. This is possibly because workRVU is associated with patient characteristics.

Inpatient Versus Outpatient Surgery: A Comparison of Postoperative Mortality and Morbidity in Elective Operations.

BACKGROUND: Operations performed outpatient offer several benefits. The prevalence of outpatient operations is growing. Consequently, the proportion of patients with multiple comorbidities undergoing outpatient surgery is increasing. We compared 30-day mortality and overall morbidity between outpatient and inpatient elective operations. METHODS: Using the 2005-2018 ACS-NSQIP database, we evaluated trends in percent of hospital outpatient operations performed over time, and the percent of operations done outpatient versus inpatient by CPT code. Patient characteristics were compared for outpatient versus inpatient operations. We compared unadjusted and risk-adjusted 30-day mortality and morbidity for inpatient and outpatient operations. RESULTS: A total of 6,494,298 patients were included. The proportion of outpatient operations increased over time, from 37.8% in 2005 to 48.2% in 2018. We analyzed the 50 most frequent operations performed outpatient versus inpatient 25-75% of the time (n = 1,743,097). Patients having outpatient operations were younger (51.6 vs 54.6 years), female (70.3% vs 67.3%), had fewer comorbidities, and lower ASA class (I-II, 69.3% vs. 59.9%). On both unadjusted and risk-adjusted analysis, 30-day mortality and overall morbidity were less likely in outpatient versus inpatient operations. CONCLUSION: In this large multi-specialty analysis, we found that patients undergoing outpatient surgery had lower risk of 30-day morbidity and mortality than those undergoing the same inpatient operation. Patients having outpatient surgery were generally healthier, suggesting careful patient selection occurred even with increasing outpatient operation frequency. Patients and providers can feel reassured that outpatient operations are a safe, reasonable option for selected patients.

Using the Surgical Risk Preoperative Assessment System to Define the "High Risk" Surgical Patient.

BACKGROUND: Defining a "high risk" surgical population remains challenging. Using the Surgical Risk Preoperative Assessment System (SURPAS), we sought to define "high risk" groups for adverse postoperative outcomes. MATERIALS AND METHODS: We retrospectively analyzed the 2009-2018 American College of Surgeons National Surgical Quality Improvement Program database. SURPAS calculated probabilities of 12 postoperative adverse events. The Hosmer Lemeshow graphs of deciles of risk and maximum Youden index were compared to define "high risk." RESULTS: Hosmer-Lemeshow plots suggested the "high risk" patient could be defined by the 10th decile of risk. Maximum Youden index found lower cutoff points for defining "high risk" patients and included more patients with events. This resulted in more patients classified as "high risk" and higher number needed to treat to prevent one complication. Some specialties (thoracic, vascular, general) had more "high risk" patients, while others (otolaryngology, plastic) had lower proportions. CONCLUSIONS: SURPAS can define the "high risk" surgical population that may benefit from risk-mitigating interventions.

Associations Between Preoperative Risk, Postoperative Complications, and 30-Day Mortality.

BACKGROUND: Comorbidities and postoperative complications increase mortality, making early recognition and management critical. It is useful to understand how they are associated with one another. This study assesses associations between comorbidities, complications, and mortality. METHODS: We calculated associations between comorbidities, complications, and 30-day mortality using the 2012-2018 ACS-NSQIP database. We examined the association between mortality and number of complications which complications were most associated with mortality. RESULTS: 5,777,108 patients were included. 30-day mortality was 0.95%. For most comorbidities or postoperative complications, patients with these had higher mortality than patients without. Having ≥ 1 complication increased mortality risk by 32.5-fold (6.5% vs. 0.2%). Mortality rate significantly increased with increasing number of complications, particularly after two or more complications. Bleeding and sepsis were associated with the most deaths. CONCLUSION: The 30-day mortality rate was < 1% but was 32-fold higher in patients with complications and increased rapidly for patients with ≥ 2 complications. Bleeding and sepsis were the most prominent complications associated with mortality.

Reducing cost and improving operating room efficiency: examination of surgical instrument processing.

BACKGROUND: Operating room efficiency can be compromised because of surgical instrument processing delays. We observed that many instruments in a standardized tray were not routinely used during thyroid and parathyroid surgery at our institution. Our objective was to create a streamlined instrument tray to optimize operative efficiency and cost. MATERIALS AND METHODS: Head and neck surgical instrument trays were evaluated by operating room team leaders. Instruments were identified as either necessary or unnecessary based on use during thyroidectomies and parathyroidectomies. The operating room preparation time, tray weights, number of trays, and number of instruments were recorded for the original and new surgical trays. Cost savings were calculated using estimated reprocessing cost of $0.51 per instrument. RESULTS: Three of 13 head and neck trays were converted to thyroidectomy and parathyroidectomy trays. The starting head and neck surgical set was reduced from two trays with 98 total instruments to one tray with 36 instruments. Tray weight decreased from 27 pounds to 10 pounds. Tray preparation time decreased from 8 min to 3 min. The new tray saved $31.62 ($49.98 to $18.36) per operation in reprocessing costs. Projected annual savings with hospitalwide implementation is over $28,000.00 for instrument processing alone. Unmeasured hospital savings include decreased instrument wear and replacement frequency, quicker operating room setup, and decreased decontamination costs. CONCLUSIONS: Optimizing surgical trays can reduce cost, physical strain, preparation time, decontamination time, and processing times, and streamlining trays is an effective strategy for hospitals to reduce costs and increase operating room efficiency.

Vulnerable populations and the emergency ventral hernia: A retrospective cohort study.

INTRODUCTION: Ventral hernias can be repaired electively; however, many circumstances require emergency repair. The association between sociodemographic status and rate of emergency repair are unclear and the Social Vulnerability Index may be a useful tool to better understanding this association. The purpose of this study was to investigate the association between Social Vulnerability Index and emergency ventral hernia repair. METHODS: This was a retrospective cohort study using the National Surgical Quality Improvement Program (2012-2018) data for patients at a level 1 trauma center. We included patients who had an open ventral hernia repair. Social Vulnerability Index was based on residential address at the time of surgery. We conducted univariate and bivariate statistics, including χ2 and Mann-Whitney U tests to compare high and low social vulnerability. RESULTS: Our sample had 1,017 patients. Patients who underwent emergency operations were older (P = .025) and had higher Social Vulnerability Index (P = .029). Patients in the high Social Vulnerability Index group were 1.5 times more likely to receive emergency surgery (P = .047). Emergency repair was also associated with increased frequency of nonhome discharge (9% vs 2%, P = .001) and higher mean work relative value unit (15.4 vs 11.9, P < .001). CONCLUSION: Patients requiring emergency ventral hernia repair have significantly higher Social Vulnerability Index than those undergoing elective repair. This vulnerable population also has increased cost associated with the repair and higher rates of nonhome discharge. This work provides a foundation for efforts to reach patients in high Social Vulnerability Index environments at an earlier stage to achieve earlier elective repair.

The Effect of Social Vulnerability on Initial Stage and Treatment for Non-Small Cell Lung Cancer.

OBJECTIVE: The Social Vulnerability Index (SVI) is a composite metric for social determinants of health. The objective of this study was to determine if SVI influences stage at presentation for non-small cell lung cancer (NSCLC) patients and subsequent therapies. MATERIALS AND METHODS: NSCLC patients from our local contribution to the National Cancer Database (2011-2021) were grouped into low SVI (<75 %ile) and high SVI (>75 %ile) cohorts. Demographics, cancer-related variables, and treatment modalities were compared. Multivariable logistic regression was performed to control for the impact of demographics on cancer presentation and for the impact of oncologic variables on treatment outcomes. RESULTS: Of 1,662 NSCLC patients, 435 (26 %) were defined as high SVI. Compared to the 1,227 (74 %) low SVI patients, highly vulnerable patients were more likely to be male (53.3 % vs 46.0 %, p = 0.009), non-White (17.2 % vs 9.7 %, p < 0.0001), have comorbidities (29.4 % vs 23.1 %, p = 0.009) and present at a higher AJCC clinical T, M and overall stage (all p < 0.05). These findings persisted on multivariable analysis, with highly vulnerable patients having 1.5x the odds (95 %CI: 1.23-1.86, p < 0.001) of presenting at more advanced stage. Patients with high SVI were less likely to be recommended for and receive surgery (40.9 % vs 53.2 %, p < 0.001), and this finding persisted after controlling for stage at presentation (OR 1.37, 95 %CI 1.04-1.80). CONCLUSIONS: Highly vulnerable patients present at a more advanced clinical stage and are less likely to be recommended and receive surgery, even after controlling for stage at presentation. Further investigation into these findings is warranted to achieve more equitable oncologic care.

Social vulnerability is associated with higher risk-adjusted rates of postoperative complications in a broad surgical population.

OBJECTIVE: The purpose of this study was to determine if an association between Social Vulnerability Index (SVI) and risk-adjusted complications exists in a broad spectrum of surgical patients. SUMMARY BACKGROUND DATA: Growing evidence supports the impact of social circumstances on surgical outcomes. SVI is a neighborhood-based measure accounting for sociodemographic factors putting communities at risk. METHODS: This was a multi-hospital, retrospective cohort study including a sample of patients within one healthcare system (2012-2017). Patient addresses were geocoded to determine census tract of residence and estimate SVI. Patients were grouped into low SVI (score<75) and high SVI (score≥75) cohorts. Perioperative variables and postoperative outcomes were tracked and compared using local ACS-NSQIP data. Multivariable logistic regression was performed to generate risk-adjusted odds ratios of postoperative complications in the high SVI cohort. RESULTS: Overall, 31,224 patients from five hospitals were included. Patients with high SVI were more likely to be racial minorities, have 12/18 medical comorbidities, have high ASA class, be functionally dependent, be treated at academic hospitals, and undergo emergency operations (all p â€‹< â€‹0.05). Patients with high SVI had significantly higher rates of 30-day mortality, overall morbidity, respiratory, cardiac and infectious complications, urinary tract infections, postoperative bleeding, non-home discharge, and unplanned readmissions (all p â€‹< â€‹0.05). After risk-adjustment, only the associations between high SVI and mortality and unplanned readmission became non-significant. CONCLUSIONS: High SVI was associated with multiple adverse outcomes even after risk adjustment for preoperative clinical factors. Targeted preventative interventions to mitigate risk of these specific complications should be considered in this high-risk population.

National trends in technique use for esophagectomy: Does primary surgeon specialty matter?

BACKGROUND: Cardiothoracic surgeons and general surgeons (including surgical oncologists) perform most esophagectomies. The purpose of this study was to explore whether specialty-driven differences in surgical techniques and the use of minimally invasive surgical approaches exist and are associated with postoperative outcomes after esophagectomy. METHODS: This was a retrospective review of the American College of Surgeons National Surgical Quality Improvement Program esophagectomy-targeted participant user file (2016-2018). Patients who underwent esophagectomy were sorted into cardiothoracic and general surgeon cohorts based on surgeon specialty. Perioperative characteristics and postoperative outcomes were compared using the χ2 analysis or independent t test. Multivariable logistic regression controlling for perioperative variables was performed to generate risk-adjusted rates of postoperative outcomes compared by surgical specialty. RESULTS: Of 3,247 patients included, 1,792 (55.2%) underwent esophagectomy by cardiothoracic surgeons and 1,455 (44.5%) by general surgeons as the primary surgeon. Cardiothoracic surgeons were more likely to use traditional minimally invasive surgical (P = .0004) or open approaches (P < .0001) and less likely to use robotic (P = .04) or a hybrid robotic and traditional approaches (P < .0001). Cardiothoracic surgeons performed more Ivor Lewis esophagectomies and fewer transhiatal and McKeown esophagectomies (P < .0001). After risk adjustment, there were no differences in rates of postesophagectomy complications, such as anastomotic leaks or positive margins, between cardiothoracic surgeons and general surgeons (all P > .05). However, cardiothoracic surgeons were more likely than general surgeons to treat anastomotic leaks with surgery rather than procedural interventions (odds ratio = 1.76; 95% confidence interval, 1.24-2.52). CONCLUSION: Cardiothoracic surgeons and general surgeons use minimally invasive surgical subtypes differently when performing esophagectomy. However, there were no risk-adjusted differences in postoperative complications when compared by surgical subspecialty. Esophagectomy is being performed safely by surgeons with different specialties and training pathways.

The association between patient preoperative disposition and outcomes after diagnostic lung biopsy.

Background: Surgical diagnostic lung biopsy (DLB) is performed to guide the management of pulmonary disease with unclear etiology. However, the utilization of surgical DLB in critically ill patients remains unclear. The purpose of this study was to determine if patient preoperative disposition impacts complication rates after DLB. Methods: This was retrospective cohort study using electronic health record (EHR) data at one academic institution [2013-2021]. Patients who underwent DLB were identified using current procedural terminology (CPT) codes and cohorted based on preoperative disposition. The primary outcome was 30-day mortality; secondary outcomes were overall morbidity, individual complications, and changes to medical therapy. Complication rates were compared using chi-squared tests, Fisher's exact tests, or analysis of variance (ANOVA). Multivariable logistic regression was performed to generate risk-adjusted odds ratios (ORs) for each complication. Results: Of 285 patients, 238 (83.5%) presented from home, 26 (9.1%) from inpatient floor units, and 21 (7.4%) from intensive care units (ICUs). Patients requiring ICU had the highest 30-day rates of mortality, overall morbidity, and all individual complications (all P<0.05). After risk adjustment, non-ICU inpatients had higher odds of postoperative ventilator use, prolonged ventilation, and ICU need than outpatients (all P<0.05). Preoperative ICU disposition was associated with increased OR of 30-day mortality [OR, 70.92; 95% confidence interval (CI): 5.55-906.32] and overall morbidity (OR, 7.27; 95% CI: 1.93-27.42) compared to patients with other preoperative dispositions. There were no differences in changes to medical therapy between the cohorts. Conclusions: Patients requiring ICU before DLB had significantly higher risk-adjusted rates of mortality and postoperative complications than outpatients and other inpatients. A clear benefit from tissue diagnosis should be defined prior to performing DLB on critically ill patients.

Risk-adjusted discrete increases in length of stay by complication following anatomic lung resection: an analysis of 32 133 cases across the USA.

OBJECTIVES: Prior studies have associated morbidity following anatomic lung resection with prolonged postoperative length of stay; however, each complication's individual impact on length of stay as a continuous variable has not been studied. The purpose of this study was to determine the risk-adjusted increase in length of stay associated with each individual postoperative complications following anatomic lung resection. METHODS: Patients who underwent anatomic lung resection cataloged in the prospectively collected American College of Surgeons National Surgical Quality Improvement Program participant use file, 2005-2018, were targeted. The association between preoperative characteristics, postoperative complications and length of stay in days was tested. A negative binomial model adjusting for the effect of preoperative characteristics and 18 concurrent postoperative complications was used to generate incidence rate ratios. This model was fit to generate risk-adjusted increases in length of stay by complication. RESULTS: Of 32 133 patients, 5065 patients (15.8%) experienced at least one post-operative complication. The most frequent complications were pneumonia (n = 1829, 5.7%), the need for transfusion (n = 1794, 5.6%) and unplanned reintubation (n = 1064, 3.3%). The occurrence of each of the 18 individual complications was associated with significantly increased length of stay. This finding persisted after risk-adjustment, with the greatest risk-adjusted increases being associated with prolonged ventilation (+17.4 days), followed by septic shock (+17.2 days), acute renal failure (+16.5 days) and deep surgical site infection (+13.2 days). CONCLUSIONS: All 18 postoperative complications studied following anatomic lung resection were associated with significant risk-adjusted increases in length of stay, ranging from an increase of 17.4 days with prolonged ventilation to 2.6 days following the need for transfusion.

Strict compliance to a thoracic enhanced recovery after surgery protocol is associated with improved outcomes compared with partial compliance: A prospective cohort study.

BACKGROUND: Benefits of thoracic enhanced recovery after surgery programs have been described. However, there is ongoing discussion on the importance of full protocol compliance. The objective of this study was to determine whether strict adherence to an enhanced recovery after surgery protocol leads to further improvement in outcomes compared with less strict compliance. METHODS: This was a multihospital prospective cohort study of all consecutive anatomic lung resection patients on the thoracic enhanced recovery after surgery pathway from May 2021 to March 2023, with comparison with a historical control from January 2019 to April 2021. Compliance to 5 key protocol elements was tracked. Patients were grouped into high- and low-compliance cohorts, defined as adherence to 4-5/5 or 0-3/5 elements, respectively. The primary outcome was overall morbidity; secondary outcomes included cardiac, respiratory, and infectious morbidity and length of stay. RESULTS: Of the 960 patients, 429 (44.7%) were enhanced recovery after surgery patients and 531 (55.3%) were in the historical control group. Across all patients, 250 (26.0%) were considered high compliance and 710 (74.0%) were considered low compliance. After adjustment for enhanced recovery after surgery status and confounders, the association between high compliance and improved outcomes persisted for all but infectious morbidity. Compared with low compliance, high compliance was associated with decreased odds of any morbidity (0.41 [95% CI, 0.22-0.77]), cardiac morbidity (0.31 [0.11-0.91]), respiratory morbidity (0.46 [0.23-0.90]) and decreased length of stay (0.38 [0.18-0.87]). CONCLUSION: Enhanced recovery after surgery protocols improve outcomes after anatomic lung resection. Increasing compliance to individual elements (>80%) further improves patient outcomes. Continued efforts should be directed at increasing compliance to individual protocol elements.

Robotic-assisted ectopic mediastinal parathyroidectomy: a single institution experience and operative review for the thoracic surgeon.

Background: Parathyroidectomy remains the only definitive cure for primary hyperparathyroidism (PHPT). In rare cases, ectopic hyperfunctioning glands are located in the mediastinum, necessitating a thoracic surgical approach. The objective of this project was to review a single high-volume institutional experience of this presentation, with specific attention to the use of a robotic-assisted thoracic surgery (RATS) approach. Methods: This was a single-center, 5-year retrospective cohort study. All patients who underwent RATS mediastinal mass resection (MMR) for PHPT at the University of Colorado Anschutz Medical Campus were targeted for inclusion. Patient cases were reviewed for demographics, history, operative data, laboratory values, and postoperative course. Results: Eight patients underwent RATS-MMR for PHPT between 2018-2023. Median [interquartile range] operative time was 178 [138-213] minutes, and length of stay was 2.0 [1.5-2.0] days. One patient experienced post-operative chylothorax requiring dietary modification. There were no other 30-day complications or readmissions. Final pathology confirmed intrathymic parathyroid tissue in all patients. All patients achieved cure of PHPT. Conclusions: The robotic-assisted approach has low morbidity and associated hospital length of stay and can be safely used to cure PHPT. As this is a rare pathology with an infrequently utilized surgical approach, it is important to critically discuss the diagnostic evaluation and operative course, aimed at educating the thoracic surgeon who may encounter and assist in the management of these patients.