Search

Obsessive-compulsive disorder (OCD) and pathological gambling (PG) are accompanied by deficits in behavioural flexibility. In reinforcement learning, this inflexibility can reflect asymmetric learning from outcomes above and below expectations. In alternative frameworks, it reflects perseveration independent of learning. Here, we examine evidence for asymmetric reward-learning in OCD and PG by leveraging model-based functional magnetic resonance imaging (fMRI). Compared with healthy controls (HC), OCD patients exhibited a lower learning rate for worse-than-expected outcomes, which was associated with the attenuated encoding of negative reward prediction errors in the dorsomedial prefrontal cortex and the dorsal striatum. PG patients showed higher and lower learning rates for better- and worse-than-expected outcomes, respectively, accompanied by higher encoding of positive reward prediction errors in the anterior insula than HC. Perseveration did not differ considerably between the patient groups and HC. These findings elucidate the neural computations of reward-learning that are altered in OCD and PG, providing a potential account of behavioural inflexibility in those mental disorders.

Studies of brain network development typically focus on a single scale. Here, the authors derived personalized functional networks across scales, and find that network development systematically adheres to and strengthens hierarchical cortical organization.

Abstract Compulsivity is a poorly understood transdiagnostic construct thought to underlie multiple disorders, including obsessive-compulsive disorder, addictions, and binge eating. Our current understanding of the causes of compulsive behavior remains primarily based on investigations into specific diagnostic categories or findings relying on one or two laboratory measures to explain complex phenotypic variance. This proof-of-concept study drew on a heterogeneous sample of community-based individuals (N = 45; 18–45 years; 25 female) exhibiting compulsive behavioral patterns in alcohol use, eating, cleaning, checking, or symmetry. Data-driven statistical modeling of multidimensional markers was utilized to identify homogeneous subtypes that were independent of traditional clinical phenomenology. Markers were based on well-defined measures of affective processing and included psychological assessment of compulsivity, behavioral avoidance, and stress, neurocognitive assessment of reward vs. punishment learning, and biological assessment of the cortisol awakening response. The neurobiological validity of the subtypes was assessed using functional magnetic resonance imaging. Statistical modeling identified three stable, distinct subtypes of compulsivity and affective processing, which we labeled “Compulsive Non-Avoidant”, “Compulsive Reactive” and “Compulsive Stressed”. They differed meaningfully on validation measures of mood, intolerance of uncertainty, and urgency. Most importantly, subtypes captured neurobiological variance on amygdala-based resting-state functional connectivity, suggesting they were valid representations of underlying neurobiology and highlighting the relevance of emotion-related brain networks in compulsive behavior. Although independent larger samples are needed to confirm the stability of subtypes, these data offer an integrated understanding of how different systems may interact in compulsive behavior and provide new considerations for guiding tailored intervention decisions.

The field of network neuroscience has emerged as a natural framework for the study of the brain and has been increasingly applied across divergent problems in neuroscience. From a disciplinary perspective, network neuroscience originally emerged as a formal integration of graph theory (from mathematics) and neuroscience (from biology). This early integration afforded marked utility in describing the interconnected nature of neural units, both structurally and functionally, and underscored the relevance of that interconnection for cognition and behavior. But since its inception, the field has not remained static in its methodological composition. Instead, it has grown to use increasingly advanced graph-theoretic tools and to bring in several other disciplinary perspectives—including machine learning and systems engineering—that have proven complementary. In doing so, the problem space amenable to the discipline has expanded markedly. In this review, we discuss three distinct flavors of investigation in state-of-the-art network neuroscience: (i) descriptive network neuroscience, (ii) predictive network neuroscience, and (iii) a perturbative network neuroscience that draws on recent advances in network control theory. In considering each area, we provide a brief summary of the approaches, discuss the nature of the insights obtained, and highlight future directions.

Large-scale dynamics of the brain are routinely modelled using systems of nonlinear dynamical equations that describe the evolution of population-level activity, with distinct neural populations often coupled according to an empirically measured structural connectivity matrix. This modelling approach has been used to generate insights into the neural underpinnings of spontaneous brain dynamics, as recorded with techniques such as resting state functional MRI (fMRI). In fMRI, researchers have many degrees of freedom in the way that they can process the data and recent evidence indicates that the choice of pre-processing steps can have a major effect on empirical estimates of functional connectivity. However, the potential influence of such variations on modelling results are seldom considered. Here we show, using three popular whole-brain dynamical models, that different choices during fMRI preprocessing can dramatically affect model fits and interpretations of findings. Critically, we show that the ability of these models to accurately capture patterns in fMRI dynamics is mostly driven by the degree to which they fit global signals rather than interesting sources of coordinated neural dynamics. We show that widespread deflections can arise from simple global synchronisation. We introduce a simple two-parameter model that captures these fluctuations and performs just as well as more complex, multi-parameter biophysical models. From our combined analyses of data and simulations, we describe benchmarks to evaluate model fit and validity. Although most models are not resilient to denoising, we show that relaxing the approximation of homogeneous neural populations by more explicitly modelling inter-regional effective connectivity can improve model accuracy at the expense of increased model complexity. Our results suggest that many complex biophysical models may be fitting relatively trivial properties of the data, and underscore a need for tighter integration between data quality assurance and model development.

Abstract Psychopathology is rooted in neurodevelopment. However, clinical and biological heterogeneity, together with a focus on case-control approaches, have made it difficult to link dimensions of psychopathology to abnormalities of neurodevelopment. Here, using the Philadelphia Neurodevelopmental Cohort, we built normative models of cortical volume and tested whether deviations from these models better predicted psychiatric symptoms compared to raw cortical volume. Specifically, drawing on the p-factor hypothesis, we distilled 117 clinical symptom measures into six orthogonal psychopathology dimensions: overall psychopathology, anxious-misery, externalizing disorders, fear, positive psychosis symptoms, and negative psychosis symptoms. We found that multivariate patterns of deviations yielded improved out-of-sample prediction of psychopathology dimensions compared to multivariate patterns of raw cortical volume. We also found that correlations between overall psychopathology and deviations in ventromedial prefrontal, inferior temporal, and dorsal anterior cingulate cortices were stronger than those observed for specific dimensions of psychopathology (e.g., anxious-misery). Notably, these same regions are consistently implicated in a range of putatively distinct disorders. Finally, we performed conventional case-control comparisons of deviations in a group of individuals with depression and a group with attention-deficit hyperactivity disorder (ADHD). We observed spatially overlapping effects between these groups that diminished when controlling for overall psychopathology. Together, our results suggest that modeling cortical brain features as deviations from normative neurodevelopment improves prediction of psychiatric symptoms in out-of-sample testing, and that p-factor models of psychopathology may assist in separating biomarkers that are disorder-general from those that are disorder-specific.

AbstractIntrinsic timescales of activity fluctuations vary hierarchically across the brain. This variation reflects a broad gradient of functional specialization in information storage and processing, with integrative association areas displaying slower timescales that are thought to reflect longer temporal processing windows. The organization of timescales is associated with cognitive function, distinctive between individuals, and disrupted in disease, but we do not yet understand how the temporal properties of activity dynamics are shaped by the brain’s underlying structural connectivity network. Using resting-state fMRI and diffusion MRI data from 100 healthy individuals from the Human Connectome Project, here we show that the timescale of resting-state fMRI dynamics increases with structural connectivity strength, matching recent results in the mouse brain. Our results hold at the level of individuals, are robust to parcellation schemes, and are conserved across a range of different timescale- related statistics. We establish a comprehensive BOLD dynamical signature of structural connectivity strength by comparing over 6,000 time series features, highlighting a range of new temporal features for characterizing BOLD dynamics, including measures of stationarity and symbolic motif frequencies. Our findings indicate a conserved property of mouse and human brain organization in which a brain region’s spontaneous activity fluctuations are closely related to their surrounding structural scaffold.

Obsessive-compulsive disorder (OCD) is a symptomatically heterogeneous disease. Symptoms of OCD can be grouped into a six-factor structure including washing, checking, neutralizing, obsessing, ordering and hoarding. These different symptom profiles might be one of the critical factors contributing to the inconsistent neuroanatomical findings in OCD according to the literature. In this study, whole-brain voxel-based morphometry was used to examine neuroanatomical alterations in gray matter (GM) for OCD compared to healthy controls, and the variations associated with differing symptoms of OCD. The high-quality structural imaging data from 39 OCD individuals and 42 age-matched healthy controls were recruited. First, we found increased cortical GM volume in the left postcentral gyrus in OCD participants compared to healthy controls. Next, six independent regression analyses were conducted to examine the correlation between OCD symptom dimensions and inter-individual variation in neuroanatomy. After a rigorous multiple comparison correction, greater hoarding symptom was robustly found associated with greater GM volumes at various frontotemporal regions (including orbitofrontal, middle frontal and superior temporal GMs). Additionally, greater washing symptoms were associated with increased GM volume at the superior temporal cortex. The symptom-specific GM alterations observed here support the notion that OCD is an etiologically heterogeneous disorder, with both overlapping and distinct neuroanatomical structure across symptom dimensions.

Background: Young adults regularly using cannabis represent a uniquely vulnerable yet heterogeneous cohort. Few studies have examined user profiles using cannabis use motives and expectations. The association between user profiles and psychosocial functioning among only regular users remains unexplored. This exploration is important to improve public education efforts and design tailor treatment approaches.Methods: Regular cannabis users (at least weekly; n = 329) completed an online survey via Amazon Mechanical Turk. The survey measured levels of cannabis use, other substance use, motives and expectations of cannabis use, symptoms of psychosis, depression, anxiety and stress, and reckless behavior such as getting high before work or driving under the influence of cannabis. Latent class analysis was performed using motives and expectations to identify data driven patterns of regular cannabis use. Classes were then used to investigate mental health and behavioral correlates of differences in motives and expectations.Results: A 2-class solution provided the best fit to the data; Class 1: Low Motives and Expectancies (n = 158) characterized by lower endorsement across all motivation and expectation variables, and Class 2: High Motives and Expectancies (n = 171) characterized by endorsing multiple motivations, and higher positive and negative expectations of cannabis use. Classes differed in a range of cannabis use variables; e.g., greater proportion of peer use in Class 2. The High Motives and Expectancies users reported higher symptoms of psychosis (positive and negative symptoms), depression, anxiety, and stress. A higher proportion met the criteria for a cannabis use disorder compared with Low Motives and Expectancies users. High Motives and Expectancies users reported higher mean problems with nicotine dependence and illicit drug use other than cannabis and were more likely to get high before work and drive under the influence of cannabis.Conclusions: There is heterogeneity among young regular cannabis users in their motivations and expectancies of use and associated psychosocial functioning. Understanding motives and expectancies can help segregate which users are at higher risk of worse functioning. These findings are timely when designing targeted assessment and treatment strategies, particularly as cannabis is further decriminalized and accessibility increases.

One of the most controversial procedures in the analysis of resting-state functional magnetic resonance imaging (rsfMRI) data is global signal regression (GSR): the removal, via linear regression, of the mean signal averaged over the entire brain. On one hand, the global mean signal contains variance associated with respiratory, scanner-, and motion-related artifacts, and its removal via GSR improves various quality-control metrics, enhances the anatomical specificity of functional-connectivity patterns, and can increase the behavioral variance explained by such patterns. On the other hand, GSR alters the distribution of regional signal correlations in the brain, can induce artifactual anticorrelations, may remove real neural signal, and can distort case-control comparisons of functional-connectivity measures. Global signal fluctuations can be identified visually from a matrix of colour-coded signal intensities, called a carpet plot, in which rows represent voxels and columns represent time. Prior to GSR, large, periodic bands of coherent signal changes that affect most of the brain are often apparent; after GSR, these apparently global changes are greatly diminished. Here, using three independent datasets, we show that reordering carpet plots to emphasize cluster structure in the data reveals a greater diversity of spatially widespread signal deflections (WSDs) than previously thought. Their precise form varies across time and participants, and GSR is only effective in removing specific kinds of WSDs. We present an alternative, iterative correction method called Diffuse Cluster Estimation and Regression (DiCER), that identifies representative signals associated with large clusters of coherent voxels. DiCER is more effective than GSR at removing diverse WSDs as visualized in carpet plots, reduces correlations between functional connectivity and head-motion estimates, reduces inter-individual variability in global correlation structure, and results in comparable or improved identification of canonical functional-connectivity networks. Using task fMRI data across 47 contrasts from 7 tasks in the Human Connectome Project, we also present evidence that DiCER is more successful than GSR in preserving the spatial structure of expected task-related activation patterns. Our findings indicate that care must be exercised when examining WSDs (and their possible removal) in rsfMRI data, and that DiCER is a viable alternative to GSR for removing anatomically widespread and temporally coherent signals. All code for implementing DiCER and replicating our results is available at https://github.com/BMHLab/DiCER.

OBJECTIVES: To determine the morbidity, mortality, and feasibility of lung resection in patients with tumors and preoperative FEV1 < 35% predicted. DESIGN: Retrospective review. SETTING: A 734-bed, tertiary care, academic hospital with a dedicated general thoracic surgery unit performing > 2,000 operations per year. PATIENTS: One hundred consecutive patients with discrete lung tumors and with preoperative FEV1 < 35% predicted undergoing lung resection between September 1997 and May 2003. Only operations with curative intent were included. Average preoperative predicted FEV1 was 26%. Sixteen percent of the patients were oxygen dependent prior to the operation. RESULTS: Open and thoracoscopic wedge resections, segmentectomies, lobectomies, and combined lung resections with lung volume reduction were performed. Sixty-six of the lesions were malignant, and 57 were primary lung cancers. Only one patient left the operating room with positive margins. There was one in-hospital or 30-day mortality. Thirty-six percent of the patients had one or more complications. Twenty-two percent of the patients had prolonged air leaks requiring a chest tube for > 7 days. One patient left the hospital ventilator dependent, 3 additional patients required intubation > 48 h, and 11 patients were discharged with a new oxygen requirement. There were four pneumonias, one myocardial infarction, and two reoperations for bleeding. Male gender (p = 0.003), preoperative oxygen dependence (p = 0.03), and pack-year history (p = 0.006) were associated with a higher overall incidence of complications, while age, incision, diabetes, coronary artery disease, duration of smoking cessation, amount of lung resected, size of lesion, and preoperative percentage of predicted FEV1 did not correlate with the overall incidence of complications. CONCLUSIONS: In a large academic center, minimally invasive surgical techniques, intensive pulmonary care, and advanced anesthetic techniques allow for curative lung tumor resections in patients with very low preoperative FEV1 with a very low mortality and very low incidence of ventilator dependence. Other serious complications such as pneumonia, myocardial infarction, and bleeding are uncommon. An extended hospital stay and a high incidence of prolonged air leak should be expected, especially in patients with preoperative FEV1 < or = 20% predicted. [ABSTRACT FROM AUTHOR]

The roles of different nodes within a network are often understood through centrality analysis, which aims to quantify the capacity of a node to influence, or be influenced by, other nodes via its connection topology. Many different centrality measures have been proposed, but the degree to which they offer unique information, and whether it is advantageous to use multiple centrality measures to define node roles, is unclear. Here we calculate correlations between 17 different centrality measures across 212 diverse real-world networks, examine how these correlations relate to variations in network density and global topology, and investigate whether nodes can be clustered into distinct classes according to their centrality profiles. We find that centrality measures are generally positively correlated to each other, the strength of these correlations varies across networks, and network modularity plays a key role in driving these cross-network variations. Data-driven clustering of nodes based on centrality profiles can distinguish different roles, including topological cores of highly central nodes and peripheries of less central nodes. Our findings illustrate how network topology shapes the pattern of correlations between centrality measures and demonstrate how a comparative approach to network centrality can inform the interpretation of nodal roles in complex networks.

Staghorn calculi pose challenges in urology, often necessitating more invasive procedures such as percutaneous nephrolithotomy (PCNL) to clear a large stone burden with fewer procedures. Here we present a case of a 76-year-old female with chronic kidney disease and a malrotated right pelvic kidney who underwent PCNL for a 3.5 cm staghorn calculus. Postoperatively, she developed a rare complication of ascending colon perforation, requiring emergent surgical intervention including exploratory laparotomy and right hemicolectomy. Colon perforation during PCNL is rare (0.3%-0.8%). Preoperative imaging, namely computed tomography (CT) of the abdomen and pelvis, is crucial to identify anatomical variations and mitigate the risk of injury. Conservative management strategies have demonstrated success in similar cases, emphasizing the importance of prompt recognition and multidisciplinary management. This case contributes to the paucity of literature regarding this rare complication underscoring the necessity for detailed preoperative planning to avoid complications in PCNL, especially in patients with complex renal anatomy. Future research should focus on developing tailored guidelines for PCNL in patients with anatomical abnormalities to enhance procedural safety and optimize outcomes., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2024 Christina S. Boutros et al.)

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., (Copyright © 2024 Elsevier Inc. All rights reserved.)

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., (Copyright © 2024 Elsevier Inc. All rights reserved.)

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&#95;summ&#95;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., Competing Interests: Conflict of Interest Statement C.W.T. is a consultant for Zimmer Biomet, AtriCure, Astra Zeneca, and Bristol Myers Squibb. C.W.T. also discloses research finding and nonfinancial research support from Zimmer Biomet and Medtronic. All other authors reported no conflicts of interest. The Journal policy requires editors and reviewers to disclose conflicts of interest and to decline handling or reviewing manuscripts for which they may have a conflict of interest. The editors and reviewers of this article have no conflicts of interest., (Copyright © 2023 The American Association for Thoracic Surgery. Published by Elsevier Inc. All rights reserved.)

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., Competing Interests: Declaration of Conflicting InterestsThe authors declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: CWT reports that he is a consultant and recipient of a grant for Zimmer Biomet. He is also a consultant for SigMedical, Atricure and Medtronic. None of these relationships have affected this manuscript or the accuracy of the data analysis. The other authors have no disclosures, sources of funding, or financial relationships to declare.

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., (Copyright © 2024 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.)

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., Competing Interests: Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://jtd.amegroups.com/article/view/10.21037/jtd-23-1668/coif). D.S.B. receives consulting fees from Novartis, Bristol-Myers Squibb, Mirati Therapeutics, Eli Lilly, AstraZeneca, Syneos Health, Amgen, and Daiichi Sankyo and independent research funding from AstraZeneca. Philip Linden receives grant funding from Zimmer Biomet. C.W.T. is a consultant for Atricure, Bristol Myers Sqibb, AstraZeneca and Zimmer Biomet. He has also received grant funding from Zimmer Biomet and research support from Medtronic. The other authors have no conflicts of interest to declare., (2024 Journal of Thoracic Disease. All rights reserved.)

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., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

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., Competing Interests: Conflict of Interest Statement Dr Towe is a consultant for Zimmer Biomet, Astra Zeneca, Bristol Myers Squibb, Atricure, and Medtronic and is a grant recipient from Zimmer Biomet. All other authors reported no conflicts of interest. The Journal policy requires editors and reviewers to disclose conflicts of interest and to decline handling manuscripts for which they may have a conflict of interest. The editors and reviewers of this article have no conflicts of interest., (Copyright © 2023 The American Association for Thoracic Surgery. Published by Elsevier Inc. All rights reserved.)

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., (Copyright © 2023 Elsevier Inc. All rights reserved.)

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.

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., (Copyright © 2023 Elsevier Inc. All rights reserved.)

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., (Copyright © 2023 Elsevier Inc. All rights reserved.)

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 χ 2 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., (Copyright © 2024 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.)

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., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Background: Studies of robotic lobectomy (Robot-L) have been performed using data from high-volume, specialty centers which may not be generalizable. The purpose of this study was to compare mortality, length of stay (LOS), and cost between Robot-L and thoracoscopic lobectomy (VATS-L) using a nationally representative database hypothesizing they would be similar., Methods: The Premier Healthcare Database was used to identify patients receiving elective lobectomy for lung cancer from 2009 to 2019. Patients were categorized as receiving Robot-L or VATS-L using ICD-9/10 codes. Survey methodology and patient level weighting were used to correct for sampling error and estimation of a nationally representative sample. A propensity match analysis was performed to reduce bias between the groups. Primary outcome of interest was in-hospital mortality. Secondary outcomes were LOS and patient charges., Results: Among 62 698 patients, 19 506 (31.1%) underwent Robot-L and 43 192 (68.9%) underwent VATS-L. Differences between the groups included age, race, comorbidities, and insurance type. A propensity matched cohort demonstrated similar in-hospital mortality for Robot-L and VATS-L (.9% vs .9%, respectively, P = .91). Patients who underwent Robot-L had a shorter LOS (4 vs 5d, respectively, P < .001) but higher patient charges (90 593.0 vs 72 733.3 USD, respectively, P < .001)., Conclusions: In a nationally representative database, Robot-L and VATS-L had similar mortality. Although Robot-L was associated with shorter hospitalization, it was also associated with excess charges of almost $20,000. As Robot-L is now the most common approach for lobectomy in the U.S., further study into the cost and benefit of robotic surgery is warranted., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

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., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: CW Towe reports that he is a consultant for Zimmer Biomet, Astra Zeneca, Atricure and Medtronic and is a grant recipient for Zimmer Biomet. None of these relationships have affected this manuscript or the accuracy of the data analysis.

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., Competing Interests: Dr Towe is a consultant for Atricure and Zimmer Biomet. All other authors reported no conflicts of interest. The Journal policy requires editors and reviewers to disclose conflicts of interest and to decline handling manuscripts for which they may have a conflict of interest. The editors and reviewers of this article have no conflicts of interest., (© 2023 The Author(s).)

Background and Objectives : Protective equipment, including seatbelts and airbags, have dramatically reduced the morbidity and mortality rates associated with motor vehicle collisions (MVCs). While generally associated with a reduced rate of injury, the effect of motor vehicle protective equipment on patterns of chest wall trauma is unknown. We hypothesized that protective equipment would affect the rate of flail chest after an MVC. Materials and Methods : This study was a retrospective analysis of the 2019 iteration of the American College of Surgeons Trauma Quality Program (ACS-TQIP) database. Rib fracture types were categorized as non-flail chest rib fractures and flail chest using ICD-10 diagnosis coding. The primary outcome was the occurrence of flail chests after motor vehicle collisions. The protective equipment evaluated were seatbelts and airbags. We performed bivariate and multivariate logistic regression to determine the association of flail chest with the utilization of vehicle protective equipment. Results : We identified 25,101 patients with rib fractures after motor vehicle collisions. In bivariate analysis, the severity of the rib fractures was associated with seatbelt type, airbag status, smoking history, and history of cerebrovascular accident (CVA). In multivariate analysis, seatbelt use and airbag deployment (OR 0.76 CI 0.65-0.89) were independently associated with a decreased rate of flail chest. In an interaction analysis, flail chest was only reduced when a lap belt was used in combination with the deployed airbag (OR 0.59 CI 0.43-0.80) when a shoulder belt was used without airbag deployment (0.69 CI 0.49-0.97), or when a shoulder belt was used with airbag deployment (0.57 CI 0.46-0.70). Conclusions : Although motor vehicle protective equipment is associated with a decreased rate of flail chest after a motor vehicle collision, the benefit is only observed when lap belts and airbags are used simultaneously or when a shoulder belt is used. These data highlight the importance of occupant seatbelt compliance and suggest the effect of motor vehicle restraint systems in reducing severe chest wall injuries.

Introduction: Sarcomatoid lung cancer has mainly been described in case series and single institution reviews. Although often associated with a poor prognosis, the overall survival compared to other forms of nonsmall cell lung cancer (NSCLC) is unknown. We hypothesize that sarcomatoid lung cancers have worse overall survival relative to other forms of NSCLC., Materials and Methods: In this retrospective cohort study, we identified adult patients with nonmetastatic NSCLC from 2004 to 2018 in the National Cancer Database. Patients were categorized by histology as sarcomatoid, adenocarcinoma, or squamous cell carcinoma. We compared clinical and demographic characteristics between the groups. The primary outcome of overall survival was analyzed using Kaplan-Meier analysis. Multivariable Cox analysis was used to analyze factors associated with overall survival in sarcomatoid patients undergoing surgery., Results: Among 1,259,109 patients with lung cancer, there were 5223 (0.4%) sarcomatoid cancers. Sarcomatoid patients were more likely to be male, of Hispanic ethnicity, have fewer comorbidities, and receive treatment at an academic program. Despite higher cT- and M-stages, patients with sarcomatoid cancer were more likely to undergo surgical resection in multivariate analysis (odds ratio = 1.8 [confidence interval 1.60-2.11]; P < 0.001). Among nonmetastatic patients, overall survival was lower for sarcomatoid cancer relative to other histologies in Kaplan-Meier analysis (median survival sarcomatoid 17.6 mo versus nonsarcomatoid 31.5 mo, P < 0.001)., Conclusions: This National Cancer Database study confirms the findings of smaller studies that sarcomatoid cancer is associated with inferior overall survival compared to other NSCLCs. Given the inferior prognosis, further studies regarding optimal staging practices are appropriate., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Esophagectomy is a complex operation with significant morbidity and mortality. Previous studies have shown that sub-specialization is associated with improved esophagectomy outcomes. We hypothesized that disparities would exist among esophagectomy patients regarding access to thoracic surgeons based on demographic, geographic, and hospital factors. The Premier Healthcare Database was used to identify adult inpatients receiving esophagectomy for esophageal and gastric cardia cancer, Barrett's esophagus, and achalasia from 2015 to 2019 using ICD-10 codes. Patients were categorized as receiving their esophagectomy from a thoracic versus non-thoracic provider. Survey methodology was used to correct for sampling error. Backwards selection from bivariable analysis was used in a survey-weighted multivariable logistic regression to determine predictors of esophagectomy provider specialization. During the study period, 960 patients met inclusion criteria representing an estimated population size of 3894 patients. Among them, 1696 (43.5%) were performed by a thoracic surgeon and 2199 (56.5%) were performed by non-thoracic providers. On multivariable analysis, factors associated with decreased likelihood of receiving care from a thoracic provider included Black (OR 0.41, p < 0.001), Other (OR 0.21, p < 0.001), and Unknown race (OR 0.22, p = 0.04), and uninsured patients (OR 0.53, p = 0.03). Urban hospital setting was associated with an increased likelihood of care by a thoracic provider (OR 4.43, p = 0.001). In this nationally representative study, Nonwhite race, rural hospital setting, and lower socioeconomic status were factors associated with decreased likelihood of esophagectomy patients receiving care from a thoracic surgeon. Efforts to address these disparities and provide appropriate access to thoracic surgeons is warranted., (© The Author(s) 2023. Published by Oxford University Press on behalf of International Society for Diseases of the Esophagus. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Adenocarcinoma and squamous cell esophageal cancers have been extensively studied in the literature. Esophageal neuroendocrine (NET)/carcinoid tumors are less commonly studied and have only been described in small series. The purpose of this study was to describe the demographics and natural history of esophageal NETs, as well as optimal treatments. We hypothesized that surgical resection would be the best treatment of esophageal NETs. The National Cancer Database was used to identify adult patients with esophageal or gastroesophageal junction (GEJ) cancer from 2004 to 2018. Patients were characterized as carcinoid/NET, adenocarcinoma, or squamous cell cancer. Clinical and demographic characteristics were compared between the histology groups. The primary outcome was overall survival, which was assessed by multivariable Cox analysis. Multivariable Cox analysis was also used to analyze factors associated with survival among NET patients who underwent surgery. Among 206,321 patients with esophageal cancer, 1,563 were NETs (<0.01%). Relative to the other two histologies, NETs were associated with younger age, female sex, and advanced clinical stage at diagnosis. Multivariate analysis suggested that NETs were less likely to be treated with surgical resection (OR 0.51, P < 0.001). Nonetheless, surgical resection was associated with improved survival (HR 0.64, P = 0.003). Among patients with NETs who received surgery, neoadjuvant therapy was associated with improved overall survival (HR 0.38, P = 0.013). NET of the esophagus presents with more advanced disease than other common histologies. Among patients with nonmetastatic cancer, surgical resection appears to be the best treatment. Neoadjuvant systemic therapy may offer survival benefit, but future studies are necessary., (© The Author(s) 2023. Published by Oxford University Press on behalf of International Society for Diseases of the Esophagus. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Diabetes is a common comorbidity in the U.S. and is associated with adverse outcomes in a variety of disease processes. Other cancer specialties have shown an association of diabetes with poor oncologic outcomes. We hypothesized that pathologic complete response (pCR) would be less likely among diabetic patients with esophageal cancer who underwent neoadjuvant chemoradiation therapy followed by esophagectomy resulting in worse overall survival (OS). We performed a retrospective chart review at 2 high-volume academic hospitals of all patients with esophageal cancer who received neoadjuvant chemoradiation therapy followed by esophagectomy from 2010-2019. Patients were excluded if they had histology other than squamous cell carcinoma or adenocarcinoma, did not receive multi-agent chemotherapy or received a radiation dose <39.6 Gy. The primary outcome of interest was pCR and secondary outcome was OS. Multivariable logistic regression was used to assess the likelihood of pCR and Cox hazard analysis was used to assess OS. In total, 244 patients met inclusion criteria: 190 (77.9%) were non-diabetic and 54 (22.1%) were diabetic. Diabetic and non-diabetic patients were similar in age, sex, institution where they received treatment, ASA class, comorbidities, histologic sub-type, clinical T and N stage, chemotherapy regimen and radiation dose. Diabetic patients were more likely to have a higher body mass index (29.1 vs 25.9, p < 0.001) and hypertension (87.0% vs 47.9%, p < 0.001). On univariable analysis, diabetes was the only factor associated with decreased likelihood of pCR (p = 0.04). Multivariable analysis showed diabetes was again the only factor associated with a decreased likelihood of pCR (OR 0.32, p = 0.03). Cox survival analysis showed that older age (HR 1.03, p = 0.02) and overall posttreatment pathologic stage 2 (HR 2.16, p = 0.03), stage 3 (HR 3.25, p < 0.001), and stage 4 (HR 5.75, p < 0.001) compared to pCR were associated with worse OS, however diabetes alone had no effect (HR 1.01, p = 0.98). This multi-institutional study shows that diabetes adversely affects pCR in patients receiving neoadjuvant treatment for esophageal cancer. Almost a quarter of patients with esophageal cancer have diabetes suggesting implications for management of these patients. Future studies are warranted to determine the optimal neoadjuvant treatment strategy for esophageal cancer patients with diabetes., (Copyright © 2022 Elsevier Inc. All rights reserved.)

Background: Endoscopic esophageal stenting is used as an alternative to surgical repair for esophageal perforation. Multi-institutional studies supporting stenting are lacking. The purpose of this study was to compare the outcomes of surgical repair and esophageal stenting in patients with esophageal perforation using a nationally representative database. We hypothesized that mortality between these approaches would not be different., Methods: The Premier Healthcare Database was used to compare adult inpatients with esophageal perforation receiving either surgical repair or esophageal stenting from 2009 to 2019. Patients receiving intervention ≤7 days of admission were included in the analysis. Patients receiving both stent and repair on the same day were excluded. The composite outcome of interest was death or discharge to hospice. Logistic regression was used to evaluate independent predictors of death or hospice, adjusting for comorbidities., Results: There were 2543 patients with esophageal perforation identified who received repair (1314 [51.7%]) or stenting (1229 [48.3%]). Stenting increased from 7.0% in 2009 to 78.1% in 2019. Patients receiving repair were more likely to be female and White and had fewer Elixhauser comorbidities. Death or discharge to hospice was more common after stent (134/1314 [10.2%] repair vs 199/1229 [16.2%] stent; P < .001); however, after adjustment for comorbidities, logistic regression suggested that death or hospice discharge was similar between approaches (stent vs repair: odds ratio, 1.074; 95% CI, 0.81-1.42; P = .622). Hospital length of stay was shorter after stenting (stent vs repair coefficient, -4.09; P < .001)., Conclusions: In patients with esophageal perforation, the odds for death or discharge to hospice were similar for esophageal stenting compared with surgical repair., (Copyright © 2023 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.)

Background: Surgical stabilization of rib fractures (SSRF) is performed on only a small subset of patients who meet guideline-recommended indications for surgery. Although previous studies show that provider specialization was associated with SSRF procedural competency, little is known about the impact of provider specialization on SSRF performance frequency. We hypothesize that provider specialization would impact performance of SSRF., Methods: The Premier Hospital Database was used to identify adult patients with rib fractures from 2015 and 2019. The outcome of interest was performance of SSRF, defined using International Classification of Diseases-10th Revision Procedure Coding System coding. Patients were categorized as receiving their procedures from a thoracic, general surgeon, or orthopedic surgeon. Patients with missing or other provider types were excluded. Multivariate modeling was performed to evaluate the effect of surgical specialization on outcomes of SSRF. Given a priori assumptions that trauma centers may have different practice patterns, a subgroup analysis was performed excluding patients with 'trauma center' admissions., Results: Among 39 733 patients admitted with rib fractures, 2865 (7.2%) received SSRF. Trauma center admission represented a minority (1034, 36%) of SSRF procedures relative to other admission types (1831, 64%, p=0.15). In a multivariable analysis, thoracic (OR 6.94, 95% CI 5.94-8.11) and orthopedic provider (OR 2.60, 95% CI 2.16-3.14) types were significantly more likely to perform SSRF. In further analyses of trauma center admissions versus non-trauma center admissions, this pattern of SSRF performance was found at non-trauma centers., Conclusion: The majority of SSRF procedures in the USA are being performed by general surgeons and at non-trauma centers. 'Subspecialty' providers in orthopedics and thoracic surgery are performing fewer total SSRF interventions, but are more likely to perform SSRF, especially at non-trauma centers. Provider specialization as a barrier to SSRF may be related to competence in the SSRF procedures and requires further study., Type: Therapeutic/care management., Level of Evidence: IV., Competing Interests: Competing interests: CWT is a consultant for Atricure, Zimmer Biomet, Sig Medical and Medtronic, but these relationships have not influenced this work in any way., (© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Introduction: Although randomized trials demonstrate a benefit to surgical stabilization of rib fractures (SSRF), SSRF is rarely performed. We hypothesized older patients were less likely to receive SSRF nationally., Methods: The 2016 National Inpatient Sample was used to identify adults with flail chest. Comorbidities and receipt of SSRF were categorized by ICD-10 code. Univariable testing and Multivariable regression were performed to determine the association of demographic characteristics and comorbidities to receipt of SSRF., Results: 1021 patients with flail chest were identified, including 244 (23.9%) who received SSRF. Patients ≥70 years were less likely to receive SSRF. (<70 yrs 201/774 [26.0%] vs ≥70 43/247 [17.4%], P = .006) and had higher risk of death (<70 yrs 39/774 [5.0%] vs ≥70 33/247 [13.4%], P < .001) In multivariable modeling, only age ≥70 years was associated with SSRF (OR .591, P = .005)., Conclusion: Despite guideline-based support of SSRF in flail chest, SSRF is performed in <25% of patients. Age ≥70 years is associated with lower rate of SSRF and higher risk of death. Future study should examine barriers to SSRF in older patients.

Introduction: It was suggested that stereotactic radiation (SBRT) is an "alternative if no surgical capacity is available" for non-small cell lung cancer (NSCLC) care during the COVID-19 pandemic. The purpose of this study was to compare the oncologic outcomes of delayed surgical resection and early SBRT among operable patients with early stage lung cancer., Methods: The National Cancer Database was queried for patients with cT1aN0M0 NSCLC who underwent surgery or SBRT (2010-2016) with no comorbidity. Patients with any comorbidities or age >80 were excluded. The outcome of interest was overall survival. Delays in surgical care were modeled using different times from diagnosis to surgery. A 1:1 propensity match was performed and survival was analyzed using multivariable Cox regression., Results: Of 6720 healthy cT1aN0M0 NSCLC patients, 6008 (89.4%) received surgery and 712 (10.6%) received SBRT. Among surgery patients, time to surgery >30 d was associated with inferior survival (HR > 1.4, P ≤ 0.013) compared with patients receiving surgery ≤14 d. Relative to SBRT, surgery demonstrated superior survival at all time points evaluated: 0-30 d, 31-60 d, 61-90 d, and >90 d (all P < 0.001). Among a propensity-matched cohort of 256 pairs of patients, delayed surgery (>90 d) remained association with better overall survival relative to early SBRT (5-year survival 76.9% versus 32.3%, HR = 0.266, P < 0.001)., Conclusions: Although longer time to surgery is associated with inferior survival among surgery patients, delayed surgery is superior to early SBRT. Surgical resection should remain the standard of care to treat operable early stage lung cancer despite delays imposed by the COVID-19 pandemic., (Copyright © 2022 Elsevier Inc. All rights reserved.)

Objective: Lung lobectomy is the standard of care for early-stage lung cancer. Studies have suggested improved outcomes associated with lobectomy performed by specialized thoracic surgery providers. We hypothesized that disparities would exist regarding access to thoracic surgeons among patients receiving lung lobectomy for cancer., Methods: The Premier Hospital Database was used to identify adult inpatients receiving lung lobectomy from 2009 to 2019. Patients were categorized as receiving their lobectomy from a thoracic surgeon, cardiovascular surgeon, or general surgeon. Sample-weighted multivariable analysis was performed to identify factors associated with provider type., Results: When adjusted for sampling, 121,711 patients were analyzed, including 71,709 (58.9%) who received lobectomy by a thoracic surgeon, 36,630 (30.1%) by a cardiovascular surgeon, and 13,373 (11.0%) by a general surgeon. Multivariable analysis showed that thoracic surgeon provider type was less likely with Black patients, Medicaid insurance, smaller hospital size, in the western region, and in rural areas. In addition, non-thoracic surgery specialty was less likely to perform minimally-invasive (MIS) lobectomy (cardiovascular OR 0.80, p < 0.001, general surgery OR 0.85, p = 0.003)., Conclusions: In this nationally representative analysis, smaller, rural, non-teaching hospitals, and certain regions of the United States are less likely to receive lobectomy from a thoracic surgeon. Thoracic surgeon specialization is also independently associated with utilization of minimally invasive lobectomy. Combined, there are significant disparities in access to guideline-directed surgical care of patients receiving lung lobectomy.

Background: Esophagectomy carries a high risk of morbidity and mortality. The most common indication for esophagectomy is esophageal cancer, with fewer than 5% of esophagectomies performed for benign disease. We hypothesized that esophagectomy for benign disease is associated with a higher risk of operative and postoperative complications., Methods: A retrospective study of The Society of Thoracic Surgeons database was performed to identify all patients who had an esophagectomy from 2010 to 2018. Patients who had an emergent or palliative esophagectomy were excluded. Patients were compared based on the indication for operation, malignant vs benign disease. A 1:1 propensity score matching of The Society of Thoracic Surgeons risk factors was performed and outcomes compared between the matched cohorts., Results: Of 16,392 patients, 14,871 (91%) had malignant disease and 1521 (9%) had benign disease that met inclusion criteria. Patients with malignant disease were older (P < .001), more likely to be male (83% vs 56%, P < .001), and had more comorbidities (P < .001). There were 1362 propensity-matched pairs. Malignant esophagectomies were more likely to be performed with a minimally invasive vs an open approach (P < .001). Benign operations had more intraoperative blood transfusions (P < .001). Patients undergoing esophagectomy for benign disease had more prolonged intubations (P = .02) and postoperative blood transfusions (P = .001). Benign disease had more major morbidities (P = .001) but similar postoperative mortality (P = .62)., Conclusions: Esophagectomy for benign disease is associated with worse perioperative morbidity compared with esophagectomy for malignant disease. Given these findings patients should be counseled on expected outcomes, and this variable should be considered for inclusion in the composite score for risk assessment., (Copyright © 2023 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.)

Objective: Chondrosarcoma is the most common primary malignant chest wall tumor and is historically associated with poor prognosis. Recommendations regarding surgical excision are on the basis of small, single-institution studies. We used a large national database to assess outcomes of surgery for chest wall chondrosarcoma (CWC) hypothesizing that surgical excision remains standard of care., Methods: The National Cancer Databases for bone and soft tissue were merged to identify patients with chondrosarcoma from 2004 to 2018. Clinical and demographic characteristics of CWC were compared with chondrosarcoma from other sites. The primary outcome was overall survival described using Kaplan-Meier estimate. Univariable and multivariable Cox analysis was used to determine risk factors for poor survival among CWC patients who underwent surgery. Multivariable analysis of predictors of margin status was performed because of worse prognosis associated with positive margins., Results: Among 11,925 patients with chondrosarcoma, 1934 (16.2%) had a CWC. Relative to other sites, CWC was associated with older age, male sex, White race, surgical resection, and care at a nonacademic institution. CWC was associated with 1-, 3-, 5-, and 10-year survival of 91.5%, 82.0%, 75.5%, and 62.7%, respectively. In univariable analysis, survival was associated with surgery (hazard ratio, 0.02; P  < .001) and adversely affected by positive margins (hazard ratio, 2.66; P  < .001). Multivariable analysis showed larger tumor size was independently associated with increased risk for positive margins (odds ratio, 1.04; 95% CI, 1.011-1.075)., Conclusions: CWC represents a different cohort of patients relative to chondrosarcoma from other sites. Surgical excision remains the optimal treatment, and positive margins are associated with poor prognosis., (© 2023 The Author(s).)

Background: The perioperative risk of pulmonary lobectomy as a solitary procedure has been extensively studied, yet the differences in outcomes between lobes, which have unique anatomy and a different amount of lung parenchyma, are entirely unknown. The purpose of this study was to define the risk of each of the 5 lobectomies., Methods: The Society of Thoracic Surgeons Database was queried for patients undergoing lobectomy between 2008 and 2018. Patient and disease characteristics, operative variables, major morbidity, and 30-day mortality were examined. A multivariable logistic regression model (using the same variables in the current Society of Thoracic Surgeons lobectomy risk model) was developed to assess the contribution of lobectomy site to adverse outcomes., Results: There were 65 006 patients analyzed. Adjusted perioperative mortality rate is lowest for right middle lobe (RML), 0.63%; intermediate for right upper lobe (RUL), left upper lobe (LUL), and left lower lobe (LLL), 1.08 to 1.24%; and highest for right lower lobe (RLL), 1.63%. The adjusted major morbidity rate is lowest for RML, 5.36%; intermediate for LLL and LUL, 7.82% to 8.33%; and highest for RUL and RLL, 8.94% to 9.32%. Adjusted intraoperative transfusion rate is lowest for RML, 1.37%; intermediate for RLL and LLL, 1.81% to 1.94%; and highest for RUL and LUL, 2.47% to 2.72%., Conclusions: There are clear differences in postoperative outcomes by lobectomy location. Mortality, major morbidity, and transfusion rate are lowest for RML but vary across other lobectomies. These differences should be appreciated in evaluating risk of operation, deciding on best therapy, counseling patients, and comparing outcomes., (Copyright © 2022 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.)

Background: Current guidelines for follow-up after esophagectomy suggest only history and physical examination (HPE). With recent advances in chemotherapy and immunotherapy for patients with recurrent esophageal cancer, we hypothesized that surveillance imaging (SI) would identify patients with cancer recurrence earlier and improve long-term survival., Methods: A retrospective review of all patients undergoing esophagectomy for esophageal cancer at a single institution between 2007 and 2018 was conducted. Patients were categorized as recurrence detected through SI or recurrence detected through HPE alone. Patients were excluded if recurrence occurred within 3 months of esophagectomy., Results: During the study period, 225 esophageal cancer patients underwent an esophagectomy. Among these, 101 (44.9%) had SI and 124 (55.1%) had routine follow-up with HPE. There were 88 recurrences (39.1%) with median follow-up of 12 months. Rate of recurrence was similar based on screening method: 41 of 101 (40.6%) by SI and 47 of 124 (37.9%) by HPE (P = .68). Among patients with recurrence, recipients of additional treatment were also similar between groups, 36 of 41 (87.8%) by SI and 34 of 47 (72.3%) by HPE (P = .468). Among those who had a recurrence, the median overall survival was significantly longer in those undergoing SI at 23 months compared with those who received HPE at 16 months (P = .047)., Conclusions: SI after esophagectomy is not associated with improved detection of recurrence, but is associated with improved overall survival once recurrence is detected. These data suggest that earlier identification of esophageal cancer recurrence may have survival benefit. Standardizing SI may prove beneficial for patients after esophagectomy., (Copyright © 2022 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.)

Background: The optimal minimally invasive surgical approach to mediastinal tumors is unknown. There are limited reports comparing the outcomes of resection with robotic-assisted thoracoscopic surgery (RATS) and video-assisted thoracoscopic surgery (VATS) surgery. We hypothesized that patients who underwent RATS would have improved outcomes., Methods: The National Cancer Database was queried for all patients who underwent a minimally invasive surgical approach for any mediastinal tumor from 2010 to 2016. Patients were determined to have an adverse composite outcome if they had any of the adverse perioperative outcomes: conversion to open procedure, 90-day mortality, 30-day readmission, and positive pathologic margins. Secondary outcomes of interest were length of stay and overall survival. Multivariable logistic regression was used to assess likelihood of having a composite adverse outcome based on surgical approach., Results: The study included 856 patients: 402 (47%) underwent VATS and 454 (53%) underwent RATS. RATS resections were associated with fewer conversions (4.9% vs 14.7%, P < .001), fewer positive margins (24.3% vs 31.6%, P = .02), shorter length of stay (3.8 days vs 4.3 days, P = .01), and fewer composite adverse events (36.7% vs 51.3%, P < .001). Multivariate analysis showed RATS (odds ratio, 0.44; P < .001) was independently associated with a decreased likelihood of a composite adverse outcome, even among tumors exceeding 4 cm (odds ratio, 0.45; P = .001). Overall survival was similar between the 2 groups., Conclusions: Among patients who underwent a minimally invasive surgical approach for a mediastinal tumor, RATS had fewer adverse outcomes than VATS, even for tumors 4 cm or larger. These data suggests that RATS may be the preferred technique for patients who are candidates for minimally invasive resection of mediastinal tumors., (Copyright © 2022 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.)

Background: Anastomotic leak after esophagectomy is a significant cause of morbidity. Perianastomotic drain amylase is accurate in detecting leaks, but it is unclear whether its accuracy is affected by comorbid conditions, anastomotic method, or anastomotic location. We hypothesized that drain amylase would accurately discriminate leak in a variety of settings., Methods: We reviewed 290 consecutive patients undergoing esophagectomy with gastric conduit reconstruction. Patient comorbidities, operative variables, and drain amylase were collected. The diagnosis of a leak was based on the level of intervention required, and was characterized as clinically significant if it required wound opening or endoscopic or surgical intervention. Receiver-operating characteristic curves analysis was performed to determine the accuracy of amylase to detect leak for each patient variable., Results: A total of 53 (18.3%) of 290 esophagectomies had an anastomotic leak, of which 33 (11.4%) of 290 were clinically significant. Drain amylase was a strong predictor of anastomotic leak on postoperative day (POD) 3 to POD 7, regardless of patient comorbidities, location of anastomosis, or technique of anastomosis, but was less accurate in the diagnosis of leak in current smokers (area under the receiver-operating characteristic curve, 0.530 vs 0.752; P = .006). A maximum drain amylase value no higher than 35 on POD 3, POD 4, or POD 5 was 88% sensitive in detecting leak at any point postoperatively. A value greater than or equal to 150 was 88% specific in diagnosing leak., Conclusions: Drain amylase is a versatile method for early detection of anastomotic leaks. Its accuracy is unaffected by neoadjuvant treatment, location or type of anastomosis, or patient comorbidities but may be less accurate in active smokers., (Copyright © 2022 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.)