Neuroinflammatory Pathways Associated with Chronic Post-Thoracotomy Pain: A Review of Current Literature

Chronic post-thoracotomy pain (CPTP) is a major clinical problem that affects up to 35-55% of patients undergoing thoracic incisions. Evidence suggests that multiple cellular signaling pathways and neuro-inflammatory mediators may play an essential role in the pathogenesis of CPTP. In this comprehensive review, we present the current evidence on the cellular signaling pathways and inflammatory changes associated with the initiation and maintenance of CPTP, focusing on the potential application of these findings in the clinical setting. An electronic search of Medline, EMBASE, Cochrane, Google Scholar, and ClinicalTrials.gov was performed, and 3652 abstracts were identified. After an initial abstract screening, 131 studies underwent a full-text review, and nine papers were eventually included in this review. Studies were included if they assessed the cellular signaling pathways or inflammatory processes associated with the induction and/or maintenance of CPTP. All the identified studies were pre-clinical studies conducted on animal models. Our search identified seven cellular pathways (NK-1 receptor (NK-1), Glutaminase 1, Toll-like receptor 4 (TLR4), Resolvins, Ror-2, Sonic hedgehog signaling (Shh), and Wnt5a/Wnts) and six cytokines (IL-1β, IL-6, IL-8, IL-10, IFN-γ, and TNF-α) that were investigated in the context of CPTP. Multiple cellular signaling pathways and inflammatory cytokines may play an important role in the neuroinflammatory changes associated with the induction and maintenance of chronic post-thoracotomy pain in animal models. However, the clinical impact and therapeutic utility of these neuroinflammatory changes in routine clinical practice have yet to be demonstrated.

Gender Disparities in Surgical Subspecialties: A CMS Data Analysis

INTRODUCTION

The persistent under-representation of women in surgery remains a critical concern within the medical profession, prompting a need for a nuanced analysis of gender distribution. Despite advancements in medical education, historical gender disparities in surgery persist, necessitating an exploration of the specific realms where gaps are most pronounced. Leveraging the 2023 Center for Medicare & Medicaid Services National Downloadable Database, this study aims to contribute insights into the multifaceted dynamics of gender representation within surgical disciplines.

METHODS

Data from 1,168,064 physicians in the 2023 Center for Medicare & Medicaid Services National Downloadable Database were analyzed to distinguish between surgeons and physicians in medicine subspecialties. Univariable and multivariable logistic regression explored demographic variables, practice settings, and temporal trends to comprehensively understand factors contributing to the observed gender gap.

RESULTS

The analysis revealed a statistically significant gender difference, with only 16.7% of surgeons identified as female. Temporal trends indicated a slow increase in female surgeon representation, and specialty-specific analysis unveiled variations, such as lower likelihoods of females in cardiac surgery and higher likelihoods in colorectal surgery. Multivariable logistic regression emphasized factors influencing the odds of physicians practicing surgery, with female physicians exhibiting a lower likelihood. Regional and graduation year variations also played roles in surgical practice.

CONCLUSIONS

This study provides evidence-based insights into the persistent gender gap within surgical specialties, emphasizing the need for targeted interventions to enhance inclusivity and equity in the surgical workforce. The findings highlight intricate interplays of demographic, temporal, and specialty-specific factors, laying a foundation for future initiatives promoting a more diverse and inclusive surgical environment.

The Role of Structured Goals of Care Discussions in Critically Ill Thoracic Surgery Patients

Objective: The American College of Surgeons recommends structured family meetings (FM) for high-risk surgical patients. We hypothesized that goals of care discussions (GOCD) in the form of an FM, multidisciplinary family meeting (MDFM), or palliative care consult (PCC) would be underutilized in imminently dying thoracic surgery patients. Methods: A retrospective chart review at a tertiary academic medical center was performed on all inpatient mortalities and discharges to hospice after any thoracic surgery operation. The utilization of GOCDs was compared between the 2 groups. Secondary outcomes were length-of-stay, comatose status and ventilator dependence during initial GOCD, and timing of code status change. Results: In total, 56 patients met inclusion criteria: 44 of 56 (78.6%) died and 12 of 56 (21.4%) were discharged to hospice. Most patients had a FM (79.5% mortality vs 100% hospice, P = .29) and few had an MDFM (25.0% mortality vs 25.0% hospice, P = 1.00). Patients discharged to hospice were more likely to have a PCC (66.7% vs 31.2%, P = .03) and less likely to be comatose (16.7% vs 59.1%, P = .009) or ventilator dependent during initial GOCD (16.7% vs 70.5%, P = .001). Among patients who died and were DNR-CC (do not resuscitate-comfort care; 37 of 44), 75.7% died the same day of code status change and 67.6% died within 48 h of initial GOCD. Discussion: Although FMs were common, MDFMs were infrequent. Patients discharged to hospice were more likely to have a PCC. Most deaths occurred shortly after initial GOCD and most code status changes occurred on day-of-death. This data suggest an opportunity to improve GOCDs in critically ill thoracic surgery patients.

National enrollment of lung cancer clinical trials is disproportionate based on race and health care access

OBJECTIVE

Despite declining lung cancer mortality in the United States, survival differences remain among racial and ethnic minorities in addition to those with limited health care access. Improvements in lung cancer treatment can be obtained through clinical trials, yet there are disparities in clinical trial enrollment of other cancer types. This study aims to evaluate disparities in lung cancer clinical trial enrollment to inform future enrollment initiatives.

METHODS

We analyzed patients with non-small cell lung cancer from the National Cancer Database (2004-2018), categorizing them as enrolled or not enrolled in clinical trials based on "rx_summ_other" data element. Clinical, demographic, and institutional factors associated with trial enrollment were assessed using bivariate and multivariate analysis, adjusting for institutional-level clustering.

RESULTS

A total of 1924 (0.12%) patients with lung cancer were enrolled in clinical trials. Enrolled patients were predominantly non-Hispanic White (82%), with greater socioeconomic status, treated at academic programs (67%), and had private insurance (42%) or Medicare (44%). They also traveled further for treatment compared with unenrolled patients (56 vs 27 miles, P < .001). After adjusting for demographic and clinical factors, lung cancer trial enrollment was significantly less likely among Black (odds ratio, 0.55; 95% confidence interval, 0.5-0.7, P < .001) and Hispanic (0.66; 95% confidence interval, 0.5-0.9, P = .01) patients. Patients with Medicaid or uninsured, in the lowest socioeconomic status group, and those treated at community-based cancer programs were the least likely to enroll.

CONCLUSIONS

Enrollment in lung cancer trials disproportionally excludes minority patients, those in the lowest socioeconomic status, community cancer programs, and the underinsured. These disparities in demographic and access for trial participation show a need for improved enrollment strategies.

Adoption of Minimally Invasive Lung Resection: A National Cancer Database Study

INTRODUCTION

Minimally invasive lung resection has been associated with improved outcomes; however, institutional characteristics associated with utilization are unclear. We hypothesized that the presence of surgical robots at institutions would be associated with increased utilization of minimally invasive techniques .

METHODS

Patients with cT1/2N0M0 non-small cell lung cancer who underwent lung lobectomy between 2010 and 2020 in the National Cancer Database were identified. Patients were categorized by operative approach as minimally invasive surgery (MIS) versus open. Institutions were categorized as "high utilizers" of MIS technique if their proportion of MIS lobectomies was >50%. Multivariate logistic regressions were used to determine factors associated with proportion of procedures performed minimally invasively. Further multivariate models were used to evaluate the association of proportion of MIS procedures with 90-d mortality, hospital length of stay, and hospital readmission.

RESULTS

In multivariate analysis, passage of time by year (odds ratio [OR] 1.26; confidence interval [CI] 1.22-1.30) and presence of a robot at the facility (OR 3.48; CI 2.84-4.24) were associated with high MIS-utilizing facilities. High utilizers of MIS were associated with lower 90-d mortality (OR 0.89; CI 0.83-0.97) and hospital length of stay (coeff -0.88; CI -1.03 to -0.72). Hospital readmission was similar between high and low MIS-utilizing facilities (compared to low MIS-utilizing facilities: OR 1.06; CI 0.95-1.09).

CONCLUSIONS

Passage of time and the presence of surgical robots were independently associated with increased utilization of MIS lobectomy. In addition to being associated with improved patient-level outcomes, robotic surgery is correlated with a higher proportion of procedures being performed minimally invasively.

Inaccurate Clinical Stage Is Common and Associated With Poor Survival in Patients With Lung Cancer

INTRODUCTION

Clinical staging in lung cancer has implications for treatment planning and prognosis. We sought to determine the rate of inaccurate clinical stage (relative to pathologic), identify risk factors for inaccuracy, and evaluate the association of inaccuracy on survival. We hypothesized that inaccurate staging was associated with poor survival.

METHODS

In this retrospective cohort study, adult patients who received surgical resection without neoadjuvant treatment for nonsmall cell lung cancer from 2004 to 2020 in the National Cancer Database were categorized by accuracy of clinical stage (relative to pathologic stage). Multivariate models were used to determine risk factors for inaccuracy. The association between inaccuracy and overall survival was also analyzed.

RESULTS

We identified 255,598 patients with lung cancer, including 84,543 patients (33.1%) who were inaccurately staged. Stage inaccuracy was associated with higher tumor, node, metastasis stage (T-category 3: odds ratio [OR] = 1.2, 95% confidence interval [CI] 1.15-1.28; N-category 2: OR = 2.6, 95% CI 2.47-2.79), greater quantity of lymph nodes evaluated, and more extensive resection (extended lobectomy/bilobectomy: OR = 1.3, 95% CI 1.20-1.37; pneumonectomy: OR = 1.6, 95% CI 1.54-1.74). Patients undergoing robotic surgery were less likely to be inaccurately staged (OR = 0.89, 95% CI 0.852-0.939). Inaccurate staging was associated with worse overall survival (5-y 67.5% accurate versus 55.4% inaccurate, P < 0.001). Inaccurate staging was also associated with worse survival in a multivariate Cox model (hazard ratio [HR] = 1.3, 95% CI 1.29-1.33). Both "understaging" (path > clinical) and "overstaging" (clinical > path) were associated with inferior survival.

CONCLUSIONS

Inaccurate clinical stage (relative to pathologic) occurs in one-third of patients receiving surgery for lung cancer. Inaccuracy is associated with poor survival. Quality improvement initiatives should focus on improving clinical staging accuracy.

The Society of Thoracic Surgeons Database Analysis: Comparing Sublobar Techniques in Stage IA Lung Cancer

BACKGROUND

This study compares sublobar resections-wedge resection and segmentectomy-in clinical stage IA lung cancers. It tests the hypothesis that overall survival after wedge resection is similar to segmentectomy.

METHODS

Adults undergoing wedge resection or segmentectomy for clinical stage IA lung cancer were identified from The Society of Thoracic Surgeons General Thoracic Surgery Database. Eligible patients were linked to the Centers for Medicare and Medicaid Services database using a matching algorithm. The primary outcome was long-term overall survival. Propensity scores overlap weighting (PSOW) adjustment of wedge resection using validated covariates was used for group difference mitigation. Kaplan-Meier and Cox regression models analyzed survival. All-cause first readmission, and morbidity and mortality were examined using PSOW regression models.

RESULTS

Of 9756 patients, 6141 met inclusion criteria, comprising 2154 segmentectomies and 3987 wedge resections. PSOW reduced differences between the groups. Unadjusted perioperative mortality was comparable, but wedge resection showed lower major morbidity rates. Weighted regression analysis indicated reduced mortality and major morbidity risks in wedge resection. Kaplan-Meier analysis revealed no mortality difference between groups, which was confirmed by PSOW Cox regression models. The cumulative risk of readmission was also comparable for both groups, with Cox Fine-Gray models showing no difference in rehospitalization risks.

CONCLUSIONS

In clinical stage IA lung cancer, relative to segmentectomy, wedge resection has comparable overall survival and lower perioperative morbidity, suggesting it is an equally effective option for the broader population of patients with clinical stage IA lung cancer, not only those at highest risk of complications.

Predictive risk score for isolated brain metastasis in non-small cell lung cancer

Background

Brain metastasis is common with non-small cell lung cancer (NSCLC). Patients with some early-stage cancers don't benefit from routine brain imaging. Currently clinical stage alone is used to justify additional brain imaging. Other clinical and demographic characteristics may be associated with isolated brain metastasis (IBM). We aimed to define the most salient clinical features associated with synchronous IBM, hypothesizing that clinical and demographic factors could be used to determine the risk of brain metastasis.

Methods

The National Cancer Database was used to identify patients with NSCLC from 2016-2020. Primary outcome was the presence of IBM relative to patients without evidence of any metastasis. Cohorts were divided into test and validation. The test cohort was used to identify risk factors for IBM using multivariable logistic regression. Using the regression, a scoring system was created to estimate the rate of synchronous IBM. The accuracy of the scoring system was evaluated with receiver operating characteristic (ROC) analysis using the validation cohort.

Results

Study population consisted of 396,113 patients: 25,907 IBM and 370,206 without metastatic disease. IBM was associated with age, clinical T stage, clinical N stage, Charlson/Deyo comorbidity score, histology, and grade. A scoring system using these factors showed excellent accuracy in the test and validation cohort in ROC analysis (0.806 and 0.805, respectively).

Conclusions

Clinical and demographic characteristics can be used to stratify the risk of IBM among patients with NSCLC and provide an evidence-based method to identify patients who require dedicated brain imaging in the absence of other metastatic disease.

Mortality burden from variation in provision of surgical care in emergency general surgery: a cohort study using the National Inpatient Sample

Background

The decision to undertake a surgical intervention for an emergency general surgery (EGS) condition (appendicitis, diverticulitis, cholecystitis, hernia, peptic ulcer, bowel obstruction, ischemic bowel) involves a complex consideration of factors, particularly in older adults. We hypothesized that identifying variability in the application of operative management could highlight a potential pathway to improve patient survival and outcomes.

Methods

We included adults aged 65+ years with an EGS condition from the 2016-2017 National Inpatient Sample. Operative management was determined from procedure codes. Each patient was assigned a propensity score (PS) for the likelihood of undergoing an operation, modeled from patient and hospital factors: EGS diagnosis, age, gender, race, presence of shock, comorbidities, and hospital EGS volumes. Low and high probability for surgery was defined using a PS cut-off of 0.5. We identified two model-concordant groups (no surgery-low probability, surgery-high probability) and two model-discordant groups (no surgery-high probability, surgery-low probability). Logistic regression estimated the adjusted OR (AOR) of in-hospital mortality for each group.

Results

Of 375 546 admissions, 21.2% underwent surgery. Model-discordant care occurred in 14.6%; 5.9% had no surgery despite a high PS and 8.7% received surgery with low PS. In the adjusted regression, model-discordant care was associated with significantly increased mortality: no surgery-high probability AOR 2.06 (1.86 to 2.27), surgery-low probability AOR 1.57 (1.49 to 1.65). Model-concordant care showed a protective effect against mortality (AOR 0.83, 0.74 to 0.92).

Conclusions

Nearly one in seven EGS patients received model-discordant care, which was associated with higher mortality. Our study suggests that streamlined treatment protocols can be applied in EGS patients as a means to save lives.

Level of evidence

III.

Outcome of Patients with Locally Advanced Rectal Cancer Pursuing Non-Surgical Strategy in National Cancer Database

BACKGROUND

Survival data on patients with locally advanced rectal cancer (LARC) undergoing non-operative management (NOM) in a real-world setting are lacking.

METHODS

We analyzed LARC patients from the National Cancer Database with the following features: treated between 2010 and 2020, age 18-65 years, Charlson comorbidity index (CCI) ≤ 1, received neoadjuvant multiagent chemotherapy plus radiation ≥ 45 Gray, and underwent surgery or NOM. Patients were stratified into two groups: (A) clinical T1-3 tumors with positive nodes (cT1-3N+) and (B) clinical T4 tumors, N+/- (cT4N+/-). We performed a comparative analysis of overall survival (OS) with NOM versus surgery by the Kaplan-Meier method and propensity score matching. Additionally, a multivariable analysis explored the association between NOM and OS.

RESULTS

NOM exhibited significantly lower OS than surgery in both groups. In cT1-3N+ patients, NOM resulted in a 5-year OS of 73.9% (95% confidence interval [CI] = 69.7-77.6%) versus 84.5% (95% CI = 83.6-85.3%) with surgery (p < 0.001). In the cT4N+/- group, NOM yielded a 5-year OS of 44.5% (95% CI = 37.0-51.8%) versus 72.5% (95% CI = 69.9-74.8%) with surgery (p < 0.001). Propensity score matching and multivariable analyses revealed similar conclusions.

CONCLUSION

Patients with LARC undergoing NOM versus surgery in real-world settings appear to have inferior survival.

Computational risk model for predicting 2-year malignancy of pulmonary nodules using demographic and radiographic characteristics

OBJECTIVES

To determine whether discriminatory performance of a computational risk model in classifying pulmonary lesion malignancy using demographic, radiographic, and clinical characteristics is superior to the opinion of experienced providers. We hypothesized that computational risk models would outperform providers.

METHODS

Outcome of malignancy was obtained from selected patients enrolled in the NAVIGATE trial (NCT02410837). Five predictive risk models were developed using an 80:20 train-test split: univariable logistic regression model based solely on provider opinion, multivariable logistic regression model, random forest classifier, extreme gradient boosting model, and artificial neural network. Area under the receiver operating characteristic curve achieved during testing of the predictive models was compared to that of prebiopsy provider opinion baseline using the DeLong test with 10,000 bootstrapped iterations.

RESULTS

The cohort included 984 patients, 735 (74.7%) of which were diagnosed with malignancy. Factors associated with malignancy from multivariable logistic regression included age, history of cancer, largest lesion size, lung zone, and positron-emission tomography positivity. Testing area under the receiver operating characteristic curve were 0.830 for provider opinion baseline, 0.770 for provider opinion univariable logistic regression, 0.659 for multivariable logistic regression model, 0.743 for random forest classifier, 0.740 for extreme gradient boosting, and 0.679 for artificial neural network. Provider opinion baseline was determined to be the best predictive classification system.

CONCLUSIONS

Computational models predicting malignancy of pulmonary lesions using clinical, demographic, and radiographic characteristics are inferior to provider opinion. This study questions the ability of these models to provide additional insight into patient care. Expert clinician evaluation of pulmonary lesion malignancy is paramount.

Outcomes of Trauma "Walk-Ins" in the American College of Surgeons Trauma Quality Program Database

BACKGROUND

Outcomes of trauma "walk-in" patients (using private vehicles or on foot) are understudied. We compared outcomes of ground ambulance vs walk-ins, hypothesizing that delayed resuscitation and uncoordinated care may worsen walk-in outcomes.

METHODS

A retrospective analysis 2020 American College of Surgeons Trauma Quality Programs (ACS-TQP) databases compared outcomes between ambulance vs "walk-ins." The primary outcome was in-hospital mortality, excluding external facility transfers and air transports. Data was analyzed with descriptive statistics, bivariate, multivariable logistic regression, including an Inverse Probability Weighted Regression Adjustment with adjustments for injury severity and vital signs. The primary outcome for the 2019 (pre-COVID-19 pandemic) data was similarly analyzed.

RESULTS

In 2020, 707,899 patients were analyzed, 556,361 (78.59%) used ambulance, and 151,538 (21.41%) were walk-ins. We observed differences in demographics, hospital attributes, medical comorbidities, and injury mechanism. Ambulance patients had more chronic conditions and severe injuries. Walk-ins had lower in-hospital mortality (850 (.56%) vs 23,131 (4.16%)) and arrived with better vital signs. Multivariable logistic regression models (inverse probability weighting for regression adjustment), adjusting for injury severity, demographics, injury mechanism, and vital signs, confirmed that walk-in status had lower odds of mortality. For the 2019 (pre-COVID-19 pandemic) database, walk-ins also had lower in-hospital mortality.

DISCUSSION

Our results demonstrate better survival rates for walk-ins before and during COVID-19 pandemic. Despite limitations of patient selection bias, this study highlights the need for further research into transportation modes, geographic and socioeconomic factors affecting patient transport, and tailoring management strategies based on their mode of arrival.

Is Minimally Invasive Resection of Large Thymoma Appropriate?

BACKGROUND

Current practice patterns suggest open rather than minimally invasive (MIS) approaches for thymomas >4 cm. We hypothesized there would be similar perioperative outcomes and overall survival between open and MIS approaches for large (>4 cm) thymoma resection.

METHODS

The National Cancer Database was queried for patients who underwent thymectomy from 2010 to 2020. Surgical approach was characterized as either open or MIS. The primary outcome was overall survival and secondary outcomes were margin status, and length of stay (LOS). Differences between approach cohorts were compared after a 1:1 propensity match.

RESULTS

Among 4121 thymectomies, 2474 (60%) were open and 1647 (40%) were MIS. Patients undergoing MIS were older, had fewer comorbidities, and had smaller tumors (median; 4.6 vs 6 cm, P < .001). In the unmatched cohort, MIS and open had similar 90-day mortality (1.1% vs 1.8%, P = .158) and rate of positive margin (25.1% vs 27.9%, P = .109). MIS thymectomy was associated with shorter LOS (2 (1-4) vs 4 (3-6) days, P < .001). Propensity matching reduced the bias between the groups. In this cohort, overall survival was similar between the groups by log-rank test (P = .462) and multivariate cox hazard analysis (HR .882, P = .472). Multivariable regression showed shorter LOS with MIS approach (Coef -1.139, P < .001), and similar odds of positive margin (OR 1.130, P = .150).

DISCUSSION

MIS has equivalent oncologic benefit to open resection for large thymomas, but is associated with shorter LOS. When clinically appropriate, MIS thymectomy may be considered a safe alternative to open resection for large thymomas.

Risk Factors for Chronic Atrial Fibrillation Following Lung Lobectomy

INTRODUCTION

Postoperative atrial fibrillation (POAF) is a common complication following lung lobectomy and is associated with increased risk of stroke, mortality, and prolonged hospital length of stay. The purpose of this study was to define the risk factors for POAF after lobectomy, hypothesizing that operative approach would be associated with risk of chronic POAF.

METHODS

The TriNetX database was used to identify adult patients with no history of arrythmia receiving elective lung lobectomy for cancer from 7/6/2003-7/6/2023. Patients were categorized by approach: video-assisted thoracoscopic surgery (VATS) or open. The outcome of interest was the presence of POAF occurring at 1-3 months ("early") and 12-24 months postop ("chronic"). Propensity matching was performed to reduce bias between cohorts.

RESULTS

We identified 22,998 patients: 8472 (36.8%) who received open and 14,526 (63.2%) VATS lobectomy. The rate of early POAF was 3.7% of VATS and 5.3% of open patients. The rate of chronic POAF was 5.5 % of VATS patients and 6.2% of open lobectomy patients. Propensity matching decreased bias between the approach groups, creating 7942 pairs for analysis. After matching, the risk of early POAF was greater in the open approach (5.5% open vs 3.4% VATS, risk ratio 1.607 (95% confidence interval 1.385-1.865), P < 0.001). Chronic POAF was (also) higher in the open approach (6.3% open vs 5.2% VATS, Risk Ratio 1.211 (95%CI 1.067-1.374), P = 0.003).

CONCLUSIONS

Postoperative atrial fibrillation (POAF) occurs more commonly after open lobectomy, both acutely and chronically. Providers should counsel patients about the risk of chronic arrythmia after lung resection.

The Society of Thoracic Surgeons General Thoracic Surgery Database: 2023 Update on Outcomes and Research

The Society of Thoracic Surgeons General Thoracic Surgery Database (GTSD) continues its trajectory of growth and enhancement, solidifying its stature as a premier global thoracic surgical database. The past year witnessed a notable expansion with the inclusion of 10 additional participating sites, now totaling 287, augmenting the database's repository to more than 800,000 procedures. A significant stride was made in refining the data audit process, thereby elevating the accuracy and completeness metrics, a testament to the relentless pursuit of data integrity. The GTSD further broadened its research apparatus, with 15 scholarly publications, a 50% uptick from the preceding year. These publications underscore the database's instrumental role in advancing thoracic surgical knowledge. In a concerted effort to alleviate data entry exigencies, the GTSD Task Force also instituted streamlined data submission protocols, a move lauded by participant sites. This report delineates the recent advancements, volume trajectories, and outcome metrics and encapsulates the prolific research output emanating from the GTSD, reflecting a year of substantial progress and academic fecundity.

Speed kills? Quantifying the association between police traffic stops, types of stops, and motor vehicle collisions

BACKGROUND

Motor vehicle crashes (MVCs) are a leading cause of traumatic death and injury. Police traffic stops (PTS) are a common approach to enforcing motor vehicle laws intended to prevent MVCs. However, it is unclear which types of PTS are most effective. This study examined the relationship of PTS subtypes among municipal police patrols on non-interstate roads and MVCs and MVC-related deaths.

METHODS

PTS subtype data were characterized from six North Carolina cities: Charlotte, Durham, Fayetteville, Greensboro, Raleigh, and Winston-Salem. The primary outcomes of this study were yearly non-interstate MVC and MVC-related death rates per 100 population. The data were analyzed as balanced time-series cross-sectional data. The statistical analysis accounted for time-dependent and city-dependent confounding. We used a two-way fixed effects model to analyze the relationship between PTS and MVC or MVC-related deaths. We also utilized the difference in difference (DID) analysis to analyze if the reduction of PTS following a 2012 policing administrative change in Fayetteville had an association with MVC or MVC-related deaths.

RESULTS

We found no significant overall association between non-interstate PTS and MVCs (Coeff: -0.00006; p = 0.43) or MVC-related deaths (Coeff: -0.00011; p = 0.15). Panel regression suggested no significant relationship between MVCs and MVC-related deaths and PTS related to driving while impaired (p = 0.36), safe movement violation (p = 0.43), or seatbelt violations (p = 0.17). However, speed limit violations (Coeff: -0.00025; p = 0.032) and stop-light/sign violations (Coeff: -0.00147; p = 0.017) related to PTS significantly reduced MVC-related deaths. The DID regression showed no significant impact on MVCs (p = 0.924) or MVC-related deaths (0.706) before and after the police reform period.

CONCLUSIONS

The evidence regarding the absence of an overall association and any association with most PTS subtypes suggest that PTS are not effective for MVC death prevention. Policymakers may proceed with exploring modifications to policing efforts without detriments to public safety as defined by MVC and MVC-related deaths.

LEVEL OF EVIDENCE

Retrospective epidemiological study, level IV.

Frailty is associated with 90-day mortality in urgent thoracic surgery conditions

Objective

In patients undergoing elective thoracic surgery, frailty is associated with worse outcomes. However, the magnitude by which frailty influences outcomes of urgent thoracic surgery (UTS) is unknown.

Methods

We identified patients admitted with a UTS condition from January to September 2017 in the National Readmissions Database. UTS conditions were classified as esophageal perforation, hemo/pneumothorax, rib fracture, and obstructed hiatal hernia. Outcome of interest was mortality within 90 days of index admission. Frailty score was calculated using a deficit accumulation method. Cox proportional hazard modeling was used to calculate a hazard ratio for each combination of UTS disease type and frailty score, adjusted for sex, insurance payor, hospital size, and hospital and patient location, and was compared with the effect of frailty on elective lung lobectomy.

Results

We identified 107,487 patients with a UTS condition. Among UTS conditions overall, increasing frailty elements were associated with increased mortality (hazard ratio, 2270; 95% CI, 1463-3523; P < .001). Compared with patients without frailty undergoing elective lobectomy, increasing frailty demonstrated trending toward increased mortality in all diagnoses. The magnitude of the effect of frailty on 90-day mortality differed depending on the disease and level of frailty.

Conclusions

The effect of frailty on 90-day mortality after admission for urgent thoracic surgery conditions varies by disease type and level of frailty. Among UTS disease types, increasing frailty was associated with a higher 90-day risk of mortality. These findings suggest a valuable role for frailty evaluation in both clinical settings and administrative data for risk assessment.

Early Repair of Rib Fractures Is Associated with Superior Length of Stay and Total Hospital Cost: A Propensity Matched Analysis of the National Inpatient Sample

Background and Objectives: Previous studies have suggested that early scheduling of the surgical stabilization of rib fractures (SSRF) is associated with superior outcomes. It is unclear if these data are reproducible at other institutions. We hypothesized that early SSRF would be associated with decreased morbidity, length of stay, and total charges. Materials and Methods: Adult patients who underwent SSRF for multiple rib fractures or flail chest were identified in the National Inpatient Sample (NIS) by ICD-10 code from the fourth quarter of 2015 to 2016. Patients were excluded for traumatic brain injury and missing study variables. Procedures occurring after hospital day 10 were excluded to remove possible confounding. Early fixation was defined as procedures which occurred on hospital day 0 or 1, and late fixation was defined as procedures which occurred on hospital days 2 through 10. The primary outcome was a composite outcome of death, pneumonia, tracheostomy, or discharge to a short-term hospital, as determined by NIS coding. Secondary outcomes were length of hospitalization (LOS) and total cost. Chi-square and Wilcoxon rank-sum testing were performed to determine differences in outcomes between the groups. One-to-one propensity matching was performed using covariates known to affect the outcome of rib fractures. Stuart-Maxwell marginal homogeneity and Wilcoxon signed rank matched pair testing was performed on the propensity-matched cohort. Results: Of the 474 patients who met the inclusion criteria, 148 (31.2%) received early repair and 326 (68.8%) received late repair. In unmatched analysis, the composite adverse outcome was lower among early fixation (16.2% vs. 40.2%, p < 0.001), total hospital cost was less (USD114k vs. USD215k, p < 0.001), and length of stay was shorter (6 days vs. 12 days) among early SSRF patients. Propensity matching identified 131 matched pairs of early and late SSRF. Composite adverse outcomes were less common among early SSRF (18.3% vs. 32.8%, p = 0.011). The LOS was shorter among early SSRF (6 days vs. 10 days, p < 0.001), and total hospital cost was also lower among early SSRF patients (USD118k vs. USD183k late, p = 0.001). Conclusion: In a large administrative database, early SSRF was associated with reduced adverse outcomes, as well as improved hospital length of stay and total cost. These data corroborate other research and suggest that early SSRF is preferred. Studies of outcomes after SSRF should stratify analyses by timing of procedure.

Impact of Diabetes on Pathologic Response to Multimodality Therapy for Esophageal Cancer

BACKGROUND

The incidence of esophageal cancer has increased faster than that of most cancers. Evidence from other malignant neoplasms suggests that diabetic patients have a worse response to multimodality therapy. We hypothesized that diabetic patients with esophageal cancer will have a decreased response to neoadjuvant chemotherapy and radiation therapy compared with nondiabetic patients.

METHODS

A retrospective study of The Society of Thoracic Surgeons General Thoracic Surgery Database identified all patients who had an esophagectomy after neoadjuvant therapy for esophageal cancer between 2012 and 2019. Patients were compared on the basis of the presence of diabetes. A pathologic complete response (pCR) was defined as ypT0 N0. The χ2 and Wilcoxon rank sum tests were used to compare patients' demographic and clinical characteristics between those with and those without diabetes. Multivariable logistic regression was used to evaluate the predictors of response to neoadjuvant therapy.

RESULTS

Of the 9171 patients who met inclusion criteria, 2011 (22%) patients were diabetic and 7160 (78%) patients were nondiabetic. Patients with diabetes were older, more likely to be male, and more likely to have all comorbidities. Univariate analysis revealed that diabetic patients were less likely to have pCR (16% vs 18%; P = .026). Although multivariable analysis showed a trend toward diabetic patients' having lower odds of achieving pCR, diabetes was not independently associated with pCR (odds ratio, 0.89; 95% CI, 0.78-1.01; P = .075).

CONCLUSIONS

Diabetic patients may be less likely than nondiabetic patients to achieve pCR after neoadjuvant treatment of esophageal cancer. This suggests the need for further exploration as diabetic patients with esophageal cancer can potentially benefit from different treatment paradigms compared with their nondiabetic counterparts.

Lymph Node Yield in Lung Cancer Resection is Associated With Demographic and Institutional Factors

INTRODUCTION

Lymphadenectomy is routinely performed during surgical resection of nonsmall cell lung cancer (NSCLC). Lymph node yield and number of nodal stations sampled are important prognostic markers viewed as surrogates of surgical quality. The purpose of this study was to identify factors associated with these quality metrics after resection of NSCLC.

MATERIALS AND METHODS

We identified NSCLC patients undergoing resection at a single institution from 2010 to 2021. Cases were matched to detailed pathologist reports, which included lymph node yield and number of stations sampled. Demographic and clinical characteristics were analyzed individually using unadjusted linear regression to identify factors associated with lymph node yield and number of stations sampled. Multivariable linear regression analyses were performed to evaluate the same end points, using covariates determined through stepwise-backwards selection.

RESULTS

The study cohort included 836 patients. Multivariable regression demonstrated that male sex, history of cardiothoracic surgery, and individual pathologist were independently associated with lymph node yield. Among 18 pathologists, interpathologist coefficients with respect to lymph node yield varied from -5.61 to 11.25. Multivariable regression demonstrated White race and history of cardiothoracic surgery to be independently associated with number of nodal stations sampled, as well as individual surgeon and pathologist.

CONCLUSIONS

Lymph node yield and number of nodal stations sampled after NSCLC resection may vary based on patient demographic and clinical characteristics, as well as institutional factors. These factors should be accounted for when using these metrics as markers of surgical quality and prognosis of NSCLC.

Uncovering Health-Care Disparities Through Patient Decisions in Lung Cancer Surgery

INTRODUCTION

Declining cancer surgery represents a conflict between patients' rights to autonomy and providers' perspectives of best practice. We hypothesize that, among patients with nonmetastatic lung cancer, patient demographics would be associated with different rates of declination of lung cancer surgery.

METHODS

Patients with nonmetastatic lung cancer from 2004 to 2018 in the National Cancer Database were identified. Patients were categorized into two groups based on surgical treatment: surgical resection and declined surgery. Patient characteristics were compared using bivariate and multivariate models to identify factors associated with surgical declination. Additionally, we performed subgroup analyses of cT1N0M0 patients with no comorbidities. Survival analysis done using multivariate cox analysis and Kaplan-Meier survival analysis.

RESULTS

478,757 patients were identified. In a multivariate model, declining surgery was associated with increased age (odds ratio 1.09, 1.09-1.10), non-Hispanic Black race (odds ratio 1.95, 1.73-2.21), nonprivate insurance, and lower Socioeconomic Status. In a subgroup of cT1N0M0 patients with no comorbidities, declining surgery was associated with increasing age, non-Hispanic Black race, nonprivate insurance, and socioeconomic status. Patient's that declined surgery demonstrated lower overall survival when compared to patients that underwent surgical resection (5 y overall survival: declined surgery 40% versus underwent resection 72%, P < 0.001).

CONCLUSIONS

Although early-stage lung cancer is potentially curable, many patients decline guideline-based surgery, and have worse overall survival. There are social and economic factors associated with patients declining lung cancer surgery. Providers have an ethical responsibility to understand the basis of patient's decision to decline recommended surgery and address endemic disparities related to race and access to care.

Lung Cancer in Young Patients is Associated With More Advanced Disease but Better Overall Survival

INTRODUCTION

It is unclear whether nonsmall cell lung cancer (NSCLC) is associated with more aggressive disease and worse overall survival (OS) among younger patients. The aim of this study is to evaluate outcomes in young patients. We hypothesize that young age is associated with more advanced disease upon presentation, but better OS.

METHODS

We identified patients with NSCLC from 2004 to 2018 in the National Cancer Database. Patients were categorized in 3 groups: age≤50, 51-84, and ≥85 y. The outcomes were OS, stage IV NSCLC and clinical nodal metastasis. OS was analyzed using multivariate cox and Kaplan-Meier analysis accounting for stage, comorbidities, and other factors. The association of age, presentation with stage IV NSCLC and node positivity was analyzed using multivariate logistic regression.

RESULTS

In total 1,651,744 patients were identified: 92,506 (5.57%) age ≤50, 1,477,723 (88.90%) age 51-84, and 91,964 (5.53%) age ≥85. Multivariate model showed stage IV NSCLC was associated with age ≤50 (OR 1.17 (1.15-1.20) P < 0.001) and ≥85 (odds ratio (OR) 1.03 (1.02-1.04) P < 0.001). Clinical lymph node positivity was associated with age ≤50 (OR 1.27 (1.23-1.30) P < 0.001). Relative to patients 51-84, the ≤50 group was associated with better survival in Stage I (hazard ratio (HR) 0.61 versus 1.00), stage II (HR 1.12 versus 1.50), stage III (HR 2.12 versus 2.53), and stage IV (HR 6.65 versus 7.53).

CONCLUSIONS

Patients ≤50-y-old present with more advanced NSCLC, but better OS compared to patients 51-84. These findings suggest the need for increased awareness regarding NSCLC among age groups seen as low risk.

Evaluating the Optimal Time Between Diagnosis and Surgical Intervention for Early-Stage Lung Cancer

INTRODUCTION

There is no consensus on the optimal timing for lung cancer surgery. We aim to evaluate the impact of timing of surgical intervention. We hypothesize delay in intervention is associated with worse overall survival and higher pathologic upstaging in early-stage lung cancer.

METHODS

We identified patients with cT1/2N0M0 nonsmall cell lung cancer in the National Cancer Database from 2004 to 2018. Patients were categorized by time to surgery groups: early (<26 d), average (26-60 d), and delayed (61-365 d). Primary outcome was overall survival and secondary outcome was pathologic upstaging. Multivariate models and survival analyses were used to determine factors associated with time from diagnosis to surgery, pathologic upstaging, and overall survival.

RESULTS

In multivariate model, advanced age, non-Hispanic Black patients, nonprivate insurance, low median income and education, and treatment at low-volume facilities were less likely to undergo early intervention and compared to the average group were more likely to receive delayed intervention. Pathologic upstaging was more likely in the delayed group (odds ratio 1.11, 1.07-1.14) compared to early group (odds ratio 0.96, 0.93-0.99). Early intervention was associated with improved overall survival (hazard ratio 0.93, 0.91-0.95), while delayed intervention was associated with inferior survival (hazard ratio 1.11, 1.09-1.14).

CONCLUSIONS

Expeditious surgical intervention is associated with lower rates of pathologic upstaging and improved overall survival in early-stage lung cancer. Delays in surgery are associated with social and economic factors, suggesting disparities in access to surgery. Lung cancer surgery should be performed as quickly as possible to maximize oncologic outcomes.

Affordable Care Act Medicaid Expansion is Associated With Increased Utilization of Minimally Invasive Lung Resection for Early Stage Lung Cancer

OBJECTIVE

Minimally invasive lung resection (MILR) is underutilized in the United States. Under the Affordable Care Act (ACA), 39 states adopted Medicaid expansion, while 12 did not. Although Medicaid expansion has been associated with improved access to cancer care, its effect on utilization of MILR is unclear. We hypothesize that MILR would increase in Medicaid expansion states.

METHODS

The National Cancer Database was queried for adult patients from 2010 to 2018 with cT1/2N0M0 non-small cell lung cancer who received surgical resection by wedge, segmentectomy, or lobectomy. Patients were grouped by whether they received care in a state without Medicaid expansion vs expansion in January 2014. The outcome of interest was MILR (defined as video-assisted or robotic-assisted thoracoscopy) relative to open. Multivariable difference in differences (DID) cross-sectional analysis was used to estimate the average treatment effect (ATE) of Medicaid expansion.

RESULTS

There were 41,439 patients who met inclusion criteria: 20,446 (49.3%) in expansion states and 20,993 (50.7%) in non-expansion states. Multivariable DID analysis showed that Medicaid expansion was associated with an increase in Medicaid insurance type with an ATE of 7.4% (95% CI 7.1-7.7%, P = .002). Medicaid expansion was also associated with increased MILR utilization in unadjusted analysis (10,278/20,446 (50.3%) vs 9,953/20,993 (47.4%), p < .001) and in multivariable DID analysis (ATE 0.6%, 95% CI 0.3-0.8%, P = .008).

CONCLUSIONS

Although Medicaid expansion was associated with increased utilization of MILR for early stage lung cancer, the treatment effect was modest. This suggests that barriers in access to MILR are larger than simply access to care.