: Socioeconomic deprivation has been associated with higher lung cancer risk and mortality in non-Veteran populations. However, the impact of socioeconomic deprivation on outcomes for non-small cell lung cancer (NSCLC) in an integrated and equal-access healthcare system, such as the Veterans Health Administration (VHA), remains unclear. Hence, we investigated the impact of area-level socioeconomic deprivation on access to care and postoperative outcomes for early-stage NSCLC in United States Veterans.
View Article and Find Full Text PDFBackground: Currently, there is no consensus on how to comprehensively assess comorbidities in lung cancer patients in the clinical setting. Prescription medications may be a preferred comorbidity assessment tool and provide a simple mechanism for predicting postoperative outcomes for lung cancer. We examined the relationship between prescription medications and postoperative outcomes for early-stage non-small cell lung cancer (NSCLC).
View Article and Find Full Text PDFJ Thorac Cardiovasc Surg
September 2024
Background: Lung cancer screening guidelines were introduced in the United States in 2013, with variable implementation. This study evaluated temporal diagnostic trends in non-small cell lung cancer (NSCLC) diagnosis since the introduction of these guidelines.
Methods: This retrospective cohort analysis used data from the Veterans Administration Corporate Data Warehouse and the National Cancer Database.
Background: Large, node-negative but locally invasive non-small cell lung cancer (NSCLC) is associated with increased perioperative risk but improved survival if a complete resection is obtained. Factors associated with positive margins in this population are not well-studied.
Methods: We performed a retrospective cohort study using National Cancer Database (NCDB) for adult patients with >5 cm, clinically node-negative NSCLC with evidence of invasion of nearby structures [2006-2015].
Objective: Adequate intraoperative lymph node (LN) assessment is a critical component of early-stage non-small cell lung cancer (NSCLC) resection. The National Comprehensive Cancer Network and the American College of Surgeons Commission on Cancer (CoC) recommend station-based sampling minimums agnostic to tumor location. Other institutions advocate for lobe-specific LN sampling strategies that consider the anatomic likelihood of LN metastases.
View Article and Find Full Text PDFObjective: The aim was to develop and validate the Veterans Administration (VA) Lung Cancer Mortality (VALCAN-M) score, a risk prediction model for 90-day mortality following surgical treatment of clinical stage I nonsmall-cell lung cancer (NSCLC).
Background: While surgery remains the preferred treatment for functionally fit patients with early-stage NSCLC, less invasive, nonsurgical treatments have emerged for high-risk patients. Accurate risk prediction models for postoperative mortality may aid surgeons and other providers in optimizing patient-centered treatment plans.
Background: Diverticulitis is one of the most diagnosed gastrointestinal diseases in the country, and its incidence has risen over time, especially among younger populations, with increasing attempts at non-operative management. We elected to look at acute diverticular disease from the lens of a failure analysis, where we could estimate the hazard of requiring operative intervention based upon several clinical factors.
Materials And Methods: The National Inpatient Sample (NIS) was queried between 2010 and 2015 for unplanned admissions among adults with a primary diagnosis of diverticulitis.
Objective: Understand the characteristics of residents' favorite rotations to improve the ability of educators to maximize positive learning experiences.
Design: Novel cross-sectional survey developed through thematic analysis of focus groups with residents using 4-point Likert scales ranked from "Not at all important" to "Extremely important."
Setting: Single university-affiliated urban hospital PARTICIPANTS: Clinical surgical residents BACKGROUND: Resident assessments of learning experiences vary between rotations leading to the development of "favorite" rotations.
Background: Clinical decision-making for patients with stage I lung cancer is complex. It involves multiple options [lobectomy, segmentectomy, wedge, stereotactic body radiotherapy (SBRT), thermal ablation], weighing multiple outcomes (e.g.
View Article and Find Full Text PDFBackground: Clinical decision-making for patients with stage I lung cancer is complex. It involves multiple options [lobectomy, segmentectomy, wedge, stereotactic body radiotherapy (SBRT), thermal ablation], weighing multiple outcomes (e.g.
View Article and Find Full Text PDFBackground: Clinical decision-making for patients with stage I lung cancer is complex. It involves multiple options (lobectomy, segmentectomy, wedge, stereotactic body radiotherapy, thermal ablation), weighing multiple outcomes (e.g.
View Article and Find Full Text PDFBackground: Clinical decision-making for patients with stage I lung cancer is complex. It involves multiple options (lobectomy, segmentectomy, wedge, Stereotactic Body Radiotherapy, thermal ablation), weighing multiple outcomes (e.g.
View Article and Find Full Text PDFTrauma Surg Acute Care Open
February 2021
Importance: Recommendations for adjuvant therapy after surgical resection of lung adenocarcinoma (LUAD) are based solely on TNM classification but are agnostic to genomic and high-risk clinicopathologic factors. Creation of a prediction model that integrates tumor genomic and clinicopathologic factors may better identify patients at risk for recurrence.
Objective: To identify tumor genomic factors independently associated with recurrence, even in the presence of aggressive, high-risk clinicopathologic variables, in patients with completely resected stages I to III LUAD, and to develop a computational machine-learning prediction model (PRecur) to determine whether the integration of genomic and clinicopathologic features could better predict risk of recurrence, compared with the TNM system.
Introduction: The purpose of the study is to genomically characterize the biology and related therapeutic opportunities of prognostically important predominant histologic subtypes in lung adenocarcinoma (LUAD).
Methods: We identified 604 patients with stage I to III LUAD who underwent complete resection and targeted next-generation sequencing using the Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets platform. Tumors were classified according to predominant histologic subtype and grouped by architectural grade (lepidic [LEP], acinar or papillary [ACI/PAP], and micropapillary or solid [MIP/SOL]).
Background: Outcome improvement is a major goal of pancreatic surgery. Such efforts include decreasing perioperative narcotic use to optimize care and reduce potential contributions to the opioid crisis. Ketorolac, a frequent component of opioid-minimizing recovery pathways, has not been universally adopted over concerns regarding adverse events including anastomotic fidelity, hemorrhage, and renal failure.
View Article and Find Full Text PDFPurpose: The majority of broad-panel tumor genomic profiling has used a gene-centric approach, although much of that data is unused in clinical decision making. We hypothesized that a pathway-centric approach using next-generation sequencing (NGS), combined with conventional clinicopathologic features, may better predict disease-free survival (DFS) in early stage lung adenocarcinoma.
Experimental Design: Utilizing our prospectively maintained database, we analyzed 492 patients with primary, untreated, completely surgically resected lung adenocarcinoma.
Objective: Comparative survival between neoadjuvant chemotherapy and adjuvant chemotherapy for patients with cT2-4N0-1M0 non-small cell lung cancer has not been extensively studied.
Methods: Patients with cT2-4N0-1M0 non-small cell lung cancer who received platinum-based chemotherapy were retrospectively identified. Exclusion criteria included stage IV disease, induction radiotherapy, and targeted therapy.