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Introduction Computed tomography (CT) and fluorodeoxyglucose-positron-emission-tomography (FDG-PET) measurements of mediastinal lymph nodes (MLNs) of patients with non-small-cell-lung-cancers (NSCLCs) ≤ 30 mm in maximum diameter are recommended for pre-surgical prediction of MLN metastases. Methods We reviewed all patients at Mount Sinai Health System enrolled in the Initiative for Early Lung Cancer Research on Treatment (IELCART), prospective cohort between 2016 and 2020, who had pre-surgical FDG-PET and underwent surgery with MLN resection and/or pre-operative endobronchial ultrasound (EBUS) for a first primary NSCLC ≤ 30 mm in maximum diameter on pre-surgical CT. Results Among 470 patients, none with part-solid (n = 63) or nonsolid (n = 23) NSCLCs had MLN metastases. Solid NSCLCs were identified in 384 patients, none in typical carcinoid (n = 48) or NSCLC ≤ 10 mm in maximum diameter (n = 47, including 8 typical carcinoids) had MLN metastases. Among the remaining 297 patients with solid NSCLCs 10.1–30.0 mm, 7 (2.4%) had MLN metastases. Area-under-the-curve (AUC) for predicting MLN metastases in solid NSCLCs 10.1–30.0 mm, using the CT maximum short-axis MLN diameter was 0.62 (95% CI:0.44–0.81, p = 0.18) and using the highest SUVmax of any MLN, AUC was 0.58 (95% CI:0.39–0.78,p = 0.41). Neither AUCs were significantly different from chance alone. Optimal cutoff for prediction of MLN metastases was ≥ 18.9 mm for CT maximum short-axis diameter [sensitivity 14.3% (95%CI:0.0%–57.9%); specificity 100.0% (95%CI:98.9%-100.0%)] and for highest SUVmax was ≥ 11.7 [sensitivity 14.3% (95%CI:0.0%-57.9%) and specificity 99.7% (95%CI:98.3%-100.0%)]. Conclusions CT and SUVmax had low sensitivity but high specificity for predicting MLN metastases in solid NSCLCs 10.1–30.0 mm. Clinical Stage IA NSCLCs ≤ 30 mm should be based on CT maximum tumor diameter and MLN maximum short-axis diameter ≤ 20 mm.

Problem Given recent downward trends in daily rates of COVID-19 vaccinations, it is important to reassess strategies to reach those most vulnerable. The success and efficacy of vaccination campaigns for other respiratory illnesses, such as influenza, may help inform messaging around COVID-19 vaccinations. Method of study This cross-sectional study examines the individual-level factors associated with, and the spatial distribution of, predictors of COVID-19 severity, and uptake of influenza and hepatitis B (as a negative control) vaccines across NYC. Data were obtained from the 2018 Community Health Survey (CHS), including self-reported influenza and hepatitis B vaccine uptake, diabetes, asthma, hypertension, body mass index (BMI), age, race/ethnicity, educational attainment, borough and United Hospital Fund (UHF) neighborhood of residence. A CDC-defined COVID-19 severity risk score was created with variables available in the CHS, including diabetes, asthma, hypertension, BMI > 30 kg/m2 , and age > 65 years old. Results After adjustment, there was a significant positive association between COVID-19 severity risk score and influenza vaccine uptake (1: ORadj =1∙46, 95% CI 1∙26-1∙70; 2: ORadj =1∙95, 95% CI 1∙62-2∙34; 3+: ORadj =2∙84, 95% CI 2∙29-3∙52, compared to 0). Hepatitis B vaccine uptake was significantly inversely associated with COVID-19 severity risk score (1: ORadj = 0∙76, 95% CI 0∙66-0∙88; 2: ORadj =0∙58, 95% CI 0∙48-0∙70; 3+: ORadj =0∙52, 95% CI 0∙42-0∙64, compared to 0). Conclusions The influenza vaccination campaign template is effective at reaching those most at risk for serious COVID-19 and, if implemented, may help reach the most vulnerable that have not yet been vaccinated against COVID-19. This article is protected by copyright. All rights reserved.

Background New York City (NYC) was the epicenter of the COVID-19 pandemic, and is home to underserved populations with higher prevalence of chronic conditions that put them in danger of more serious infection. Little is known about how the presence of chronic risk factors correlates with mortality at the population level. Here we determine the relationship between these factors and COVD-19 mortality in NYC. Methods A cross-sectional study of mortality data obtained from the NYC Coronavirus data repository (03/02/2020–07/06/2020) and the prevalence of neighborhood-level risk factors for COVID-19 severity was performed. A risk index was created based on the CDC criteria for risk of severe illness and complications from COVID-19, and stepwise linear regression was implemented to predict the COVID-19 mortality rate across NYC zip code tabulation areas (ZCTAs) utilizing the risk index, median age, socioeconomic status index, and the racial and Hispanic composition at the ZCTA-level as predictors. Results The COVID-19 death rate per 100,000 persons significantly decreased with the increasing proportion of white residents (βadj = − 0.91, SE = 0.31, p = 0.0037), while the increasing proportion of Hispanic residents (βadj = 0.90, SE = 0.38, p = 0.0200), median age (βadj = 3.45, SE = 1.74, p = 0.0489), and COVID-19 severity risk index (βadj = 5.84, SE = 0.82, p Conclusions Disparities in COVID-19 mortality exist across NYC and these vulnerable areas require increased attention, including repeated and widespread testing, to minimize the threat of serious illness and mortality.

Background Although the value of DACA medical students has been hypothesized, no data are available on their contribution to US healthcare. While the exact number of DACA recipients in medical school is unknown, DACA medical students are projected to represent an increasing proportion of physicians in the future. The current literature on DACA students has not analyzed the experiences of these students. Methods A mixed-methods study on the career intentions and experiences of DACA medical students was performed utilizing survey data and in-depth interviews. The academic performance of a convenience sample of DACA medical students was compared to that of matriculated medical students from corresponding medical schools, national averages, and first-year residents according to specialty. Results Thirty-three DACA medical students completed the survey and five participated in a qualitative interview. The average undergraduate GPA (SD) of the DACA medical student sample was 3.7 (0.3), the same as the national GPA of 2017–2018 matriculated medical students. The most common intended residency programs were Internal Medicine (27.2%), Emergency Medicine (15.2%), and Family Medicine (9.1%). In interviews, DACA students discussed their motivation for pursuing medicine, barriers and facilitators that they faced in attending medical school, their experiences as medical students, and their future plans. Conclusions The intent of this sample to pursue medical specialties in which there is a growing need further exemplifies the unique value of these students. It is vital to protect the status of DACA recipients and realize the contributions that DACA physicians provide to US healthcare.

Introduction The role of specific immune cell types within the tumor immune microenvironment in non-small cell lung cancer survival is unclear. The potential of these immune cells to become predictive biomarkers of prognosis, and to define subpopulations who will benefit of additional treatment is urgently needed. Methods Stage I to IIIA non-small cell lung cancer patients who underwent surgical resection were queried from the Cancer Genome Atlas; RNAseq data as well as clinical information was extracted. Sample-specific scores for different immune cells were computed via xCell. The association between each cell type and survival was assessed with Cox regression, both unadjusted and adjusted for sex, stage, smoking status, and tumor purity. Models were stratified by lung adenocarcinoma and lung squamous cell carcinoma. Results There were 383 lung adenocarcinoma and 328 lung squamous cell carcinoma samples, and 161 (42%) and 124 (38%) deaths respectively. There was no association between any immune cell infiltrations and survival in the combined unadjusted Cox regression model. After adjustment, the presence of CD8+ cytotoxic T cells (adjusted hazard ratio [HRajd]: 0.84; 95% confidence interval [CI]: 0.71-0.99; P=0.03), CD4+ helper T cells (HRajd: 0.79; 95% CI: 0.66-0.95; P=0.01) and CD20+ B cells (HRajd: 0.80; 95% CI: 0.66-0.97; P=0.02) were significant predictors of decreased risk of death. Conclusions This study shows that the adjustment for clinical characteristics is key when evaluating tumor immune infiltration and its association with cancer outcomes. Adjustment for confounding factors modified the prognostic significance of specific immune cell populations in early-stage surgically resected NSCLC cases; clinical attributes may have high relevance on immune infiltration composition.

Introduction Coronavirus 2019 (COVID-19) has led to an unprecedented global pandemic. Given highly variable clinical presentations, readily obtainable predictive biomarkers are urgently needed to identify patients are risk of severe disease and death. Anemia is commonly present in hospitalized patients yet its prognostic potential in COVID-19 remains largely unexplored. Methods We evaluated all adult patients at a large tertiary health system during the month of March 2020 who were diagnosed with COVID-19, excluding patients without a complete blood count (CBC) obtained at the time of diagnosis. Anemia was defined by as a hemoglobin (hgb) Results During the study period, 3,777 adults with COVID-19 were identified, of which 2,439 had a CBC. 861 patients (35.4%) met criteria for anemia, as shown in the Table, and they were significantly older and had a higher comorbidity burden. Mechanical ventilation was required in 531 patients (14.1%) and 629 patients (17%) were deceased. On multivariable logistic regression adjusting for age, sex, race, and Charlson comorbidity index (CCI), anemia was significantly associated with higher risk of mortality (adjusted OR [ORadj]: 1.45, 95% Confidence Interval [CI]: 1.17-1.80) and need for mechanical ventilation (ORadj: 2.03, 95% CI: 1.64-2.51). For mortality, the optimal cutoff of hgb by ROC curve was 12.5 g/dL in males and 12.1 g/dL in females. These hgb cutoff for mechanical ventilation were 13.5 g/dL for male and 11.0 g/dL for females. When applying these cutoffs to the definition of anemia, a stronger association was observed between anemia and mortality (ORadj 1.68, 95% CI: 1.22-1.93) and need for mechanical ventilation (ORadj 2.09, 95% CI: 1.68-2.61). We also performed a subgroup analysis of patients with a normal hemoglobin to assess the independent predictive value of red blood cell distribution width (RDW). Of the 1578 patients without anemia, 139 (8.8%) had an elevated RDW (>15%). On multivariable logistic regression adjusting for age, sex, race, and CCI, an elevated RDW was statistically associated with need for mechanical ventilation (ORadj: 1.74, CI: 1.12-2.69) and mortality (ORadj: 1.93, CI: 1.26-2.95). Conclusions In this single health system study, anemia was significantly associated with both need for mechanical ventilation and mortality in patients with COVID-19. Based on ROC analysis, the ideal cutoff for considering anemias a significant contributor to these outcomes was just below normal, suggesting that even mild anemia in the context of COVID-19 is an independent predictor of mortality and need for intubation. In addition, an elevated RDW in non-anemic patients was also independently predictive of mortality. Our analysis is limited by inability to determine the chronicity of baseline anemia. Given that a CBC is almost universally obtained on patients with COVID-19, this study identifies a readily accessible predictive biomarker to inform risk adaptive clinical care. The mechanisms by which anemia impacts outcomes in COVID-19 are likely to be multiple in nature and require further investigation. Table Disclosures Mascarenhas: Celgene, Prelude, Galecto, Promedior, Geron, Constellation, and Incyte: Consultancy; Incyte, Kartos, Roche, Promedior, Merck, Merus, Arog, CTI Biopharma, Janssen, and PharmaEssentia: Other: Research funding (institution).

A research initiative was launched during the initial coronavirus disease (COVID-19) outbreak by 3 New York metropolitan area institutions. Collaborators recruited community members and patients from previous research studies to examine COVID-19 experiences and mental health symptoms through self-report surveys. The current report descriptively presents findings from the initial survey characterized by both community and clinical cohorts, and discusses challenges encountered with rapid implementation. The clinical cohort exhibited higher rates of symptoms of mental health difficulties (depression, anxiety, and posttraumatic stress disorder [PTSD]) as compared to the community cohort. COVID-19 positivity rates were similar among both groups and lower than the national average. While both groups reported low rates of job loss, community members reported higher rates of financial difficulty resulting from the pandemic. Findings indicate the need for further collaborative research on the mental health impact of COVID-19.

Objectives: To develop and validate a clinical frailty index to characterize aging among responders to the 9/11 World Trade Center (WTC) attacks. Methods: This study was conducted on health monitoring data on a sample of 6197 responders. A clinical frailty index, WTC FI-Clinical, was developed according to the cumulative deficit model of frailty. The validity of the resulting index was assessed using all-cause mortality as an endpoint. Its association with various cohort characteristics was evaluated. Results: The sample’s median age was 51 years. Thirty items were selected for inclusion in the index. It showed a strong correlation with age, as well as significant adjusted associations with mortality, 9/11 exposure severity, sex, race, pre-9/11 occupation, education, and smoking status. Discussion: The WTC FI-Clinical highlights effects of certain risk factors on aging within the 9/11 responder cohort. It will serve as a useful instrument for monitoring and tracking frailty within this cohort.

Introduction Polycythemia vera (PV) and essential thrombocythemia (ET) are myeloproliferative neoplasms characterized by erythrocytosis and thrombocytosis, with an estimated prevalence of 22 and 24 per 100,000, respectively in the United States (Ma X et al AJH 2008). However, the prevalence of undiagnosed disease is unknown. We examined the National Health and Nutritional Examination Survey (NHANES) database for unexplained erythrocytosis (UE) and thrombocytosis (UT). Methods NHANES is a cross-sectional, nationally representative, population-based survey administered by the Centers for Disease Control and Prevention that utilizes a combination of interviews, physical examinations, and laboratory testing. In the UE group, participants were included if they had a hemoglobin >18.5 g/dL in men or >16.5 g/dL in women or a hematocrit >55.5% in men and >49.5% in women. Participants were excluded if they required oxygen supplementation, had a reported history or pulmonary function test evidence of obstructive lung disease, were receiving exogenous steroids or smoked cigarettes, or had a history of blood, kidney, liver, or uterine cancer. The UT group included participants with a platelet count greater than 450 x 10^9/L, and excluded those with laboratory evidence of iron deficiency, an elevated LDH suggesting inflammation, or reported a current infection, history of cancer, or rheumatologic conditions. Given the availability of necessary eligibility data, NHANES was queried from 2007-2008 for the UE group and 1999-2002 for the UT group. Weighted statistics are presented. Results Of the 3348 participants evaluable for UE, 16 (0.38%; 383.0 per 100,000 population) had erythrocytosis of which 4 were unexplained (0.04% of the overall population; 40.8 per 100,000 population). Reasons for erythrocytosis are noted in Table 1. UE participants had a mean hemoglobin of 18.1g/dL (standard error [SE] 0.6) and hematocrit of 50.7% (SE 1.5). Table 2 shows the estimated prevalence of UE by age, gender, and race. The average age was 58.8 years (SE 2.8), which was significantly older than the general population without erythrocytosis (42.8 years [SE 0.5], p Of the 7403 participants evaluable for thrombocytosis, 108 participants (1.47%; 1,474.6 per 100,000 population) had thrombocytosis of which 33 (0.49% of the overall population; 494.2 per 100,000) were UT. Reasons for thrombocytosis are shown in Table 1. The mean platelet count of the UT group was 494.5 x 10^9/L (SE 9.1). The average age was 42.6 years (SE 3.5) which was not significantly different than the general population without thrombocytosis (45.1 years [SE 0.3], p=0.4582), but those with UT were significantly more likely to be female (76.4% vs. 50.5%, p=0.0117). Table 2 shows the estimated prevalence of UT by age, gender, and race group. The weighted percentage of US born was 86.7% in the UT group, with 63.1% having an educational level below a college degree. The mean family poverty income ratio was 3.1 (SE 0.4), which was not significantly different than the NHANES population without thrombocytosis (mean 3.0 [SE 0.1], p=0.8974). Conclusions Although this study is limited by inability to determine World Health Organization (WHO) diagnosis of ET and PV, this NHANES analysis suggests that the prevalence of UE and UT may be higher than commonly appreciated, with an estimated prevalence of 40.8 and 494.2 per 100,000, respectively. This is almost certainly an overestimate as a result of methodologic limitations of an NHANES analysis, including the fact that estimates are based on a small number of participants with UE or UT obtained at a static time point. It is also important to note that not all patients UE and UT fulfill WHO criteria for PV and ET. However, our data do suggest that PV and ET may be under-evaluated in the general population. While it is possible that certain factors may predispose some patients to having undiagnosed disease, the number of participants with unexplained conditions were too small to analyze this in more detail. Disclosures Mascarenhas: Celgene, Prelude, Galecto, Promedior, Geron, Constellation, and Incyte: Consultancy; Incyte, Kartos, Roche, Promedior, Merck, Merus, Arog, CTI Biopharma, Janssen, and PharmaEssentia: Other: Research funding (institution).

Objectives The objective of this study was to evaluate racial differences in cancer treatment and survival in gastroenteropancreatic neuroendocrine tumor (GEP-NET) patients. Methods Using the Surveillance, Epidemiology, and End Results Registry, we identified patients with GEP-NETs of the stomach, small intestine (SI), colon, rectum, appendix, and pancreas diagnosed between 1973 and 2014. Demographic, cancer, and treatment information were collected and compared using χ2 tests. Multivariable logistic and Cox regression were used to determine disparities in receiving treatment and overall survival. Results We identified 19,031 GEP-NET patients: 2839 were non-Hispanic Blacks, 12,832 non-Hispanic Whites, 2098 Hispanics, and 1262 Asians. African Americans and Hispanics with SI and pancreatic NETs were less likely to be treated with surgery (odds ratio, 0.6; 95% confidence interval [CI], 0.46-0.69; odds ratio, 0.71; 95% CI, 0.51-0.99, respectively). African American race was not an independent predictor of survival; there was a strong trend in stomach, SI, and pancreas NETs (hazard ratio [HR], 1.31; 95% CI, 1-1.7; HR, 1.2; 95% CI, 0.99-1.45; HR, 1.22; 95% CI, 1-1.48, respectively). Conclusions Our study provides evidence of racial disparities in treatment and survival across GEP-NET primary sites and racial groups. Further studies should be performed to improve our understanding of the reason for these disparities.

Background Breast conserving surgery (BCS) and adjuvant hormonal therapy (HT) without radiation therapy (RT) is an acceptable approach for older women with early stage, estrogen receptor (ER) positive breast cancer. Toxicity and compliance remain issues with HT. Adjuvant RT alone may have better compliance, but its efficacy in the absence of HT is unclear. We aim to assess patterns of adjuvant therapy and survival outcomes among older women with early stage, ER positive (ER+) breast cancer. Methods The National Cancer Data Base (NCDB) was used to identify 130,194 women age ≥65 years with invasive ER+, node negative breast cancer diagnosed between 2004 and 2015. All patients underwent BCS. Kaplan‐Meier survival curves were used to examine overall survival (OS). The association between adjuvant therapy and OS was assessed in multivariable Cox proportional hazards regression models. Results Unadjusted 5/10‐year OS rates were 90.0%/64.3% for HT and RT, 84.2%/54.9% for RT alone, 78.7%/44.5% for HT alone, and 71.6%/38.0% for no treatment; p, In this cohort study of 130,194 women age ≥65 years with invasive ER+, node negative breast cancer who underwent breast conserving surgery, radiation (RT) with hormonal therapy (HT) was associated with the highest 5 and 10‐year survival rates (90.0% and 64.3%, respectively). Compared to patients receiving HT alone, those receiving RT alone had improved unadjusted and adjusted survival rates.

Background Mammography use is affected by multiple factors that may change as public health interventions are implemented. We examined two nationally representative, population‐based surveys to seek consensus and identify inconsistencies in factors associated with mammography use in the entirety of the US population, and by black and white subgroups. Methods Self‐reported mammography use in the past year was extracted for 12 639 and 169 116 women aged 40‐74 years from the 2016 National Health Interview Survey (NHIS) and the 2016 Behavioral Risk Factor Surveillance System (BRFSS), respectively. We applied a random forest algorithm to identify the risk factors of mammography use and used a subset of them in multivariable survey logistic regressions to examine their associations with mammography use, reporting predictive margins and effect sizes. Results The weighted prevalence of past year mammography use was comparable across surveys: 54.31% overall, 54.50% in white, and 61.57% in black in NHIS and 53.24% overall, 56.97% in white, and 62.11% in black in BRFSS. Overall, mammography use was positively associated with black race, older age, higher income, and having health insurance, while negatively associated with having three or more children at home and residing in the Western region of the US. Overweight and moderate obesity were significantly associated with increased mammography use among black women (NHIS), while severe obesity was significantly associated with decreased mammography use among white women (BRFSS). Conclusion We found higher mammography use among black women than white women, a change in the historical trend. We also identified high parity as a risk factor for mammography use, which suggests a potential subpopulation to target with interventions aimed at increasing mammography use., Different from the historical trend, we found higher mammography use among black women than white women. We identified high parity as a risk factor for mammography use, which is less known and suggests a potential subpopulation for targeted interventions.

Background Mesothelioma is a rare and deadly form of cancer, linked to asbestos exposure. Although the United Kingdom has banned asbestos, the incidence rate remains high. Previous research has indicated that female individuals have better survival than male individuals, but this has never been examined in the United Kingdom. Materials and methods Pleural mesothelioma cases from 2005 to 2014 were extracted from the United Kingdom Lung Cancer Dataset. Multivariable logistic regression was used to assess the clinical and demographic factors associated with gender. A multivariable Cox proportional hazards model and propensity matching methods were used to assess gender differences in overall survival while accounting for potential confounders. Results There were 8479 (87.8%) male and 1765 (17.2%) female individuals included in the analysis. Female individuals were significantly younger, with more epithelial histology than male individuals. Female individuals had significantly better overall survival (adjusted hazard ratio, 0.85, 95% confidence interval, 0.81-0.90). Results remained similar when stratifying by age and performance status, and when limiting to patients with epithelial histology. Conclusions The study increases knowledge about gender differences in mesothelioma survival and is the first to directly examine this in the United Kingdom. It further disentangles the effects of age, histology, and health status. Increased estrogen may improve survival and could provide a potential target for future therapies.

OBJECTIVES Sociodemographic disparities in lung cancer prevalence, treatment options offered, and outcomes have been well documented. In stage I non-small cell lung cancer (NSCLC), the standard of care is surgical resection. This study explores disparities in surgical recommendations in stage I NSCLC, when surgery is considered curative. MATERIALS AND METHODS Patients diagnosed with primary stage I NSCLC from 2007 to 2016 were identified from the Surveillance, Epidemiology, and End Results database (N=56,534). Associations between sociodemographic variables and surgical recommendation were assessed using multivariable logistic regression models. Survival impact was investigated using Cox-proportional hazards regression and propensity matching techniques. RESULTS Of the 76.9% patients recommended surgery, 95% underwent surgery. Recommended surgery was inversely associated with increasing age (P

The incidence of papillary thyroid microcarcinoma is increasing. We evaluated the recurrence-free survival following total thyroidectomy and lobectomy to identify the optimal surgical choice. A meta-analysis was performed using the National Library of Medicine and the National Institutes of Health PubMed database to identify eligible studies. Summary 5- and 10-year RFS estimates after TT versus LT were calculated using random effects models. The literature search yielded 1117 studies (1990–2019). Nine studies met the inclusion criteria comprising 10,186 total thyroidectomy and 11,408 lobectomy patients. The 5-year recurrence-free survival was 98% [95% confidence interval (CI) 97–99%] after total thyroidectomy and 97% (95% CI 96–99%) after lobectomy, based on eight studies (9421 total thyroidectomy and 11,283 lobectomy patients); the 10-year recurrence-free survival was 95% (95% CI 92–98%) after total thyroidectomy and 92% (95% CI 86–96%) after lobectomy, based on eight studies (total thyroidectomy = 10,100, lobectomy = 11,389 patients). The present meta-analysis demonstrates excellent, long-term recurrence-free survival following both total thyroidectomy and lobectomy surgery in patients with papillary thyroid microcarcinoma. The analysis also suggests that patients undergoing total thyroidectomy trended toward a slightly better long-term 10-year recurrence-free survival in comparison to patients undergoing lobectomy, a finding of potential, clinical significance in the management decision-making process.

Background Few studies have examined the differential impact of sublobar resection (SL) and lobectomy (L) on quality of life (QoL) during the first postoperative year. Methods We used a prospective cohort of Stage IA lung cancer patients undergoing video-assisted thoracoscopic surgery (VATS) from the Initiative for Early Lung Cancer Research on Treatment. QoL was measured before surgery, and within 4, 6, and 12 months post-surgery using three validated instruments: SF-12 [physical (PCS) and mental health (MCS)], FACT-LCS (lung-cancer-symptoms), and the PHQ-4 (anxiety and depression subscales). Locally weighted smoothing curve (LOWESS) was fitted to identify the best interval knot for the change in the QoL trend post-surgery. After adjusting for demographic and clinical variables, an adjusted piecewise linear mixed effects model was developed to estimate differences in baseline and 12-month scores, and rates of change for each QoL measure. Results SL resection was performed in 127 (63.2%) and L in 74 (36.8%) patients. LOWESS plots suggested that the shift of QoL (interval knot) was at 2 months post-surgery. Decreases in PCS scores were less severe for SL than L patients 2 months post-surgery (-0.18 vs. -2.30, P=0.02); while subsequent improvements were observed for both groups (SL: +0.29 vs. L: +0.74, P=0.06). SL patients reported significantly better scores a year post-surgery compared to baseline (P=0.003), while L patients did not. Anxiety decreased at similar rates for both SL and L patients within 2 months post-surgery (P=0.18), then stabilized for the remaining months. MCS and depression scores remained stable in both groups throughout. QoL scores were lower for women than for men, but only significantly worse for the lung-cancer-symptoms (P=0.003) and anxiety (P=0.04). Conclusions SL patients fared better in physical health and lung cancer symptoms than L patients. The first two postoperative months showed the most significant change which suggests targeting postoperative intervention during that time.

BACKGROUND: Surgery may improve survival in malignant pleural mesothelioma (MPM) patients. We examined treatment and survival in black and white surgical MPM patients using the National Cancer Database (NCDB). METHODS: Among patients with pleurectomy/decortication (PD) or extrapleural pneumonectomy (EPP), multivariable logistic regressions were used to evaluate racial differences in surgical extent, additional treatment, and 30-/90-day mortality. Multivariable and propensity matched models were used to assess differences in survival. RESULTS: We identified 2550 patients; 2462 white (96.5%), 88 black (3.5%). Black patients were significantly less likely to receive EPP (OR(adj): 0.36, 95% CI: 0.17–0.78) and trended towards worse 30-/90-day mortality (OR(adj): 1.54, 95% CI: 0.59–4.03; OR(adj): 1.59, 95% CI: 0.80–3.17, respectively). There was no difference in survival (HR(adj): 0.94, 95% CI: 0.71–1.25). Surgery conferred a survival benefit (HR(adj): 0.77, 95% CI: 0.73–0.82), but it varied by race (HR(adj)[white]: 0.76, 95% CI: 0.72–0.81; HR(adj)[black]: 0.93, 95% CI: 0.67–1.29). DISCUSSION: With the limitation of a small proportion of surgically resected black MPM patients in this population-based analysis, black patients were noted to undergo less extensive surgery. Although there was an overall survival benefit noted with surgery, this was not consistent across races, despite trends towards worse short-term mortality in black patients.

Background Self-reported smoking behavior is widely used in identifying the eligibility for lung cancer screening (LCS). In clinical trials, self-reported smoking status was shown to be a reliable measure, while its effectiveness outside of trial settings remains to be clarified. We aimed to verify self-reported smoking status with serum cotinine levels among LCS-eligible adults from the National Health and Nutrition Examination Survey (NHANES). Methods From the combined 1999-2018 NHANES data, we selected adults (aged ≥18 years) with complete data on serum cotinine and smoking behavior, and determined their LCS eligibility according to the United States Preventive Services Task Force recommendation. Using established race/ethnicity specific cotinine cutpoints as the gold standard, we verified self-reported current smoking status with five measures: sensitivity (Se), specificity (Sp), positive predictive value (PPV), negative predictive value (NPV), and reliability Kappa. We also compared these performance measures in subgroups stratified by sex, race/ethnicity, education, family income to poverty ratio, health insurance, and secondhand smoking exposure (SHS) at home. All analyses took into account the complex survey design. Results Approximately 9.3% (n = 2335, equivalent to 8.82 million weighted population) of all adults who currently smoke or formerly smoked were eligible for LCS. The prevalence of current smoking was 52.6% and 60.8% based on self-report and cotinine, respectively. The Se and Sp were 86.4% (95%CI: 83.9%-88.9%) and 99.7% (95%CI: 99.4%-100%), respectively; PPV and NPV were 99.8% (95%CI: 99.6%-100%) and 82.6% (95%CI: 79.4%-85.7%), respectively; and Kappa was 0.83 (95%CI: 0.80-0.86). The reliability Kappa was higher among females than males (0.87 (95%CI: 0.82-0.93)) vs 0.80 (95%CI: 0.77-0.84), the lowest among non-Hispanic white (0.82 (95%CI: 0.78-0.86)), and higher among those with SHS (0.72 (95%CI: 0.63-0.80) vs (0.68 (95%CI: 0.61-0.76)). Conclusion Self-reported smoking status is reasonably reliable among adults with high risk for developing lung cancer in the general population.

Objectives Disaster workers are at elevated risk for mental health problems as a result of trauma exposures during response efforts. One possible way to prevent mental health problems is to build-up coping resources that promote resilience to the effects of disaster work. The primary aim of this study was to evaluate the efficacy of a resilience building workshop, the Disaster Worker Resiliency Training Program (DWRT), in disaster workers previously exposed to Hurricane Sandy. Methods Disaster workers (N = 167) were randomly assigned to the DWRT workshop (n = 78) or a waitlist (n = 89). Workers completed self-report measures on healthy lifestyle behaviors, perceived stress, depression, and Posttraumatic Stress Disorder (PTSD) symptoms at baseline and 3-month follow-up. They also completed a measure assessing subsequent trauma-exposure between the baseline and 3-month post-intervention. Results Participants in the workshop condition, as compared to those in a waitlist control, reported significantly greater improvements from pre-intervention (T1) to 3-month follow-up (T2) in healthy lifestyle behaviors (η2 = .03; p = .03), stress management (η2 = .03, p = .04), and spiritual growth (η2 = .03, p = .02). Among participants reporting subsequent trauma exposures between T1 and T2 (n = 101), participants in the waitlist condition, were more likely to report significant increases in perceived stress (η2 = .07, p

In the current era of de-escalation of surgical treatment for low-risk thyroid cancer, it is important to ensure that the natural history of thyroid cancer is as benign as has been suggested previously. We therefore compared the impact of surgery refusal and surgery on disease-specific survival (DSS) in patients with local or regional, papillary thyroid cancer (PTC). Local and regional stage PTC patients in the Surveillance, Epidemiology, and End Results Program (1988–2015) were included. Cox proportional hazard modeling and propensity score matching were conducted to evaluate DSS. There were 45,136 patients who received surgery and 146 patients who had surgery recommended but refused. Adjusted analysis showed a significantly better DSS for the surgery group compared with the refusal group (HRadj: 3.07 (95% CI: 1.54–6.11). After stratification for stage, no statistically significant difference in DSS was found (HRadj: 3.03 (0.89–10.35) when including only local stage PTC. Propensity matching showed a 10-year DSS of 94.0% (95% CI: 87.7–97.1%) and 96.4% (95% CI: 93.2–98.1%) for the refusal and surgery group (p = 0.060). Propensity matching of local stage PTC showed a 10-year DSS of 96.7% (95% CI: 89.9–98.9%) and 100%, respectively (p = 0.002). Although no significant difference in survival was found between surgery and no surgery in local stage PTC, a 3.3% improvement of 10-year DSS was found in the surgery group. Overall, these results suggest that local stage PTC has a benign natural history, and that conservative management strategies such as active surveillance may be appropriate.

Background Lung cancer screening (LCS) is an important secondary prevention measure to reduce lung cancer mortality. The goal of this study was to assess state-level variations in LCS among the US elderly during the first 3 years since Medicare began its LCS reimbursement policy in 2015. Methods This ecological study examined the relations between LCS utilization density, defined as the number of low-dose CT (LDCT) or shared decision-making and counseling (SDMC) services per 1,000 Medicare fee-for-service (FFS) beneficiaries derived from the Medicare Provider Utilization and Payment Data: Physician and Other Supplier public use file, and state-level factors from several publicly available data sources. The study included Kruskal-Wallis tests and a cluster analysis. Results In 2017, the median utilization density per 1,000 Medicare FFS beneficiaries was 3.32 for LDCT and 0.46 for SDMC, which was 24 and 13 times the 2015 level, respectively. From 2015 to 2017, the total number of unique providers billed for LCS increased from 222 to 3,444 for LDCT imaging and from 20 to 523 for SDMC. Higher utilizations for both LDCT and SDMC services tended to concentrate in the northeastern and upper Midwest states than in the southwest states. The cluster of states with high utilization density did not include those states with the most lung cancer mortality and/or smoking prevalence. Conclusions A steady increase was noted in LCS utilization since Medicare began its reimbursement policy. The utilization and its growth varied across the United States and differed between LDCT imaging and SDMC, indicating large growth potentials for LCS and for states with high lung cancer mortality and smoking prevalence.

// Stephanie Tuminello 1 , Rajwanth Veluswamy 1 , 2 , Wil Lieberman-Cribbin 1 , Sacha Gnjatic 2 , 3 , 4 , Francesca Petralia 5 , Pei Wang 5 , Raja Flores 6 and Emanuela Taioli 1 , 6 , 7 1 Institute for Translational Epidemiology and Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA 2 Department of Medicine, Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA 3 Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA 4 Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA 5 Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA 6 Department of Thoracic Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA 7 Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA Correspondence to: Emanuela Taioli, email: Emanuela.taioli@mountsinai.org Keywords: NSCLC; immune contexture; tumor microenvironment; TILs Received: September 18, 2019 Accepted: December 05, 2019 Published: December 24, 2019 ABSTRACT Background: Early-stage non-small cell lung cancer (NSCLC) patients carry significant risk of recurrence post-surgery. In-depth characterization of the immune tumor microenvironment (TME) can have prognostic value. This study aimed to evaluate the association of individual immune cell types in the TME with clinical outcomes in surgically resected, early-stage NSCLC. Methods: We performed a systematic literature search of the National Library of Medicine database through November 2019, investigating predefined biomarkers (CD3+ T cells, CD4+ T helper cells, CD8+ cytotoxic T cells, CD20+ B cells, CD56+ & CD57+ Natural Killer (NK) cells, CD68+ Tissue Associated Macrophages (TAMS), FoxP3+ T regulatory cells, and Mast Cells (MC)), and their association with survival following PRISMA guidelines. Results: Studies that adjusted for important clinical covariates (such as stage and age) showed that higher levels of CD8+ cytotoxic T cells were associated with improved OS (HR = 0.68; 95% CI, 0.50–0.93) and DFS (HR = 0.60; 95% CI, 0.41–0.87), while increased CD20+ B cells (HR = 0.16; 95% CI, 0.04–0.64) and CD 56/57+ NK cells (HR = 0.50; 95% CI, 0.26–0.95) were associated with improved OS; lung cancers with increased FoxP3+ T regulatory cells (HR = 2.22; 95% CI, 1.47–3.34) had worse OS. Conclusions: Immune cell components of the TME have prognostic value in early-stage, surgically resected NSCLC, and may reveal which patients are more likely to need additional systemic treatment, including immunotherapy. Clinical covariates need to be considered when evaluating the prognostic value of immune cells in the TME.

Emerging evidence has underscored the potential usefulness of red blood cell distribution width (RDW) measurement in predicting the mortality and disease severity of COVID‐19. This study aimed to assess the association of the plasma RDW levels with adverse prognosis in COVID‐19 patients. A comprehensive literature search from inception to September 2020 was performed to harvest original studies reporting RDW on admission and clinical outcomes among patients hospitalized with COVID‐19. RDW levels were compared between cases (patients who died or developed more severe symptoms) and controls (patients who survived or developed less severe symptoms). A total of 14,866 subjects from 10 studies were included in the meta‐analysis. Higher levels of RDW were associated with adverse outcomes in COVID‐19 patients (mean differences = 0.72; 95% CI = 0.47–0.97; I 2 = 89.51%). Deceased patients had higher levels of RDW compared to patients who survived (mean differences = 0.93; 95% CI = 0.63–1.23; I 2 = 85.58%). Severely ill COVID‐19 patients showed higher levels of RDW, as opposed to patients classified to have milder symptoms (mean differences = 0.61; 95% CI = 0.28–0.94; I 2 = 82.18%). Elevated RDW levels were associated with adverse outcomes in COVID‐19 patients. This finding warrants further research on whether RDW could be utilized as a simple and reliable biomarker for predicting COVID‐19 severity and whether RDW is mechanistically linked with COVID‐19 pathophysiology.

Rationale: Lung cancer surgical morbidity has been decreasing, increasing attention to quality-of-life measures. A chronic sequela of lung cancer surgery is use of postoperative oxygen at home afte...

Background Given the interplay between race and comorbidities on COVID-19 morbidity and mortality, it is vital that testing be performed in areas of greatest need, where more severe cases are expected. The goal of this analysis is to evaluate COVID-19 testing data in NYC relative to risk factors for COVID-19 disease severity and demographic characteristics of NYC neighborhoods. Methods COVID-19 testing and the racial/ethnic composition of NYC Zip Code Tabulation Areas (ZCTA) were obtained from the NYC Coronavirus data repository and the American Community Survey, respectively. The prevalence of neighborhood-level risk factors for COVID-19 severity according to the Centers for Disease Control and Prevention criteria for risk of severe illness and complications from COVID-19 were used to create a ZCTA-level risk index. Poisson regressions were performed to study the ratio of total tests relative to the total ZCTA population and the proportion of positive tests relative to the total tests performed over time. Results From March 2nd-April 6th, the total tests/population (%) was positively associated with the proportion of white residents (IRRadj: 1.0003, 95% CI: 1.0003–1.0004) and the COVID risk index (IRRadj: 1.038, 95% CI: 1.029–1.046). The risk index (IRRadj: 1.017, 95% CI: 0.939–1.101) was not associated with total tests performed from April 6th-May 12th, and inversely associated from May 12th-July 6th (IRRadj: 0.862, 95% CI: 0.814–0.913). From March 2nd-April 6th the COVID risk index was not statistically associated (IRRadj: 1.010, 95% CI: 0.987–1.034) with positive tests/total tests. From April 6th-May 12th, the COVID risk index was positively associated (IRRadj: 1.031, 95% CI: 1.002–1.060), while from May 12th-July 6th, the risk index was inversely associated (IRRadj: 1.135, 95% CI: 1.042–1.237) with positivity. Conclusions Testing in NYC has suffered from the lack of availability in high-risk populations, and was initially limited as a diagnostic tool for those with severe symptoms, which were mostly concentrated in areas where vulnerable residents live. Subsequent time periods of testing were not targeted in areas according to COVID-19 disease risk, as these areas still experience more positive tests.

To understand how observed COVID-19 diagnostic testing disparities across New York City (NYC) have impacted infection rates and COVID-19 spread, we examined neighborhood-level factors associated with, and the spatial distribution of, antibody test and infection rates, and compared changes over time by NYC ZIP code tabulation area (ZCTA). Data were obtained from 2019 American Community Survey 5-year estimates to create an SES index by ZCTA. Other predictors obtained from 2018 census data were the proportions of white residents, Hispanic residents and residents ≥ 65 years old. Multivariable Poisson regressions were performed to assess the rate of change for antibody testing and positivity, and to assess the independent associations with SES, race and age. Results: There was a significant association between the rate of antibody tests and SES quartiles (Q1: βadj = 0.04, Q2: βadj = 0.03 and Q3: βadj = − 0.03, compared to Q4), and the proportion of residents who are white (βadj = 0.004, p < .0001), Hispanic (βadj = 0.001, p < .0001), and ≥ 65 years (βadj = 0.01, p < .0001). Total number of positive antibody tests was significantly inversely associated with SES quartile (Q1: βadj = 0.50, Q2: βadj = 0.48 and Q3: βadj = 0.29, compared to Q4), and proportion of white residents (β = − 0.001, p < .0001) and ≥ 65 years (β = − 0.02, p < .0001), and significantly positively associated with proportion of Hispanic residents (β = 0.003, p < .0001). There are disparities in antibody testing and positivity, reflecting disproportionate impacts and undercounts of COVID-19 infection across NYC ZCTAs. Future public health response should increase testing in these vulnerable areas to diminish infection spread.

BackgroundThe repercussions of climate change threaten the population with an increased prevalence of extreme climate events. We explored the impact of climate change induced sea level rise (SLR) and tropical cyclone (TC) exposure on mental illness symptom prevalence.MethodsUsing three datasets, TC exposure scores were calculated for each subject to determine how exposure affects posttraumatic stress disorder (PTSD), anxiety, and major depressive disorder (MDD) symptom prevalence. Inundation mapping of various SLR and storm surge (SS) scenarios were performed for the susceptible region of Miami-Dade and Broward counties to determine the population impact of flooding.ResultsWe found an elevated risk of mental illness symptoms from exposure to more high-intensity TCs and identified demographic variables that may contribute to this risk. Furthermore, inundation mapping demonstrated severe and widespread impact of SLR and SS on the mental health of communities.LimitationsThis study did not include data directly measuring comorbidity, resilience, preparedness, or ability to adapt to climate change. Also, multiple imputation using chained equations may have been imperfect. Finally, when conducting inundation mapping, static mapping may overestimate flooding severity.ConclusionThe impacts of climate change have been frequently studied in terms of physical health, natural disaster prevalence, and economic impacts, but rarely on mental health burden. However, it is vital that national, state, and local governments develop and deploy plans to address mental health needs along with expenditures for protecting infrastructure, the economy, and physical health from the combined effects of SLR and climate change-induced natural disasters.

In the midst of widespread community transmission of coronavirus disease 2019 (COVID-19) in New York, residents have sought information about COVID-19. We analyzed trends in New York State (NYS) and New York City (NYC) data to quantify the extent of COVID-19-related queries. Data on the number of 311 calls in NYC, Google Trend data on the search term ‘Coronavirus’ and information about trends in COVID-19 cases in NYS and the USA were compiled from multiple sources. There were 1228 994 total calls to 311 between 22 January 2020 and 22 April 2020, with 50 845 calls specific to COVID-19 in the study period. The proportion of 311 calls related to COVID-19 increased over time, while the ‘interest over time’ of the search term ‘Coronavirus’ has exponentially increased since the end of February 2020. It is vital that public health officials provide clear and up-to-date information about protective measures and crucial communications to respond to information-seeking behavior across NYC.

The burden and prognosis of malignant mesothelioma in the United States have remained largely unchanged for decades, with approximately 3200 new cases and 2400 deaths reported annually. To address care and research gaps contributing to poor outcomes, in March of 2019 the Mesothelioma Applied Research Foundation convened a workshop on the potential usefulness and feasibility of a national mesothelioma registry. The workshop included formal presentations by subject matter experts and a moderated group discussion. Workshop participants identified top priorities for a registry to be (a) connecting patients with high-quality care and clinical trials soon after diagnosis, and (b) making useful data and biospecimens available to researchers in a timely manner. Existing databases that capture mesothelioma cases are limited by factors such as delays in reporting, deidentification, and lack of exposure information critical to understanding as yet unrecognized causes of disease. National disease registries for amyotrophic lateral sclerosis (ALS) in the United States and for mesothelioma in other countries, provide examples of how a registry could be structured to meet the needs of patients and the scientific community. Small-scale pilot initiatives should be undertaken to validate methods for rapid case identification, develop procedures to facilitate patient access to guidelines-based standard care and investigational therapies, and explore approaches to data sharing with researchers. Ultimately, federal coordination and funding will be critical to the success of a National Mesothelioma Registry in improving mesothelioma outcomes and preventing future cases of this devastating disease.

For early-stage cancer surgery is often curative, yet refusal of recommended surgical interventions may be contributing to disparities in patient treatment. This study aims to assess predictors of early-stage cancers surgery refusal, and the impact on survival. Patients recommended surgery with primary stage I and II lung, prostate, breast, and colon cancers, diagnosed between 2007–2014, were identified in the Surveillance, Epidemiology and End Results database (n = 498,927). Surgery refusal was reported for 5,757 (1.2%) patients. Associations between sociodemographic variables and surgery refusal by cancer type were assessed in adjusted multivariable logistic regression models. The impact of refusal on survival was investigated using adjusted Cox-Proportional Hazard regression in a propensity score-matched cohort. Increasing age (p

The accurate diagnosis of mesothelioma is critical for the appropriate clinical management of this cancer. Many issues complicate making the diagnosis of mesothelioma including the presence of reactive mesothelial cells in benign pleural effusions, the heterogeneity of mesothelioma histopathology, the relatively high incidence of other epithelial malignancies that metastasize to the pleura, and primary sarcomas that arise within the pleura. Given the rapidly evolving field of molecular profiling and the need for translational correlates in mesothelioma clinical trials, the National Cancer Institute (NCI)-International Association for the Study of Lung Cancer-Mesothelioma Applied Research Foundation Clinical Trials Planning Meeting was convened in March 2017 to develop a consensus on standard pathology guidelines for future NCI-sponsored clinical trials in mesothelioma. This consensus statement covers recommendations for specimen handling, pathologic classification and diagnosis, biobanking, and tissue correlative studies.

Age-related decreases in Quality of Life (QoL) are often compounded by comorbidities, including cancer. This study aimed to examine QoL changes before and after a new cancer diagnosis using data from the National Health and Aging Trend Study (NHATS), linked to Medicare claims (N = 136). There was a significant increase in the relative odds of fair/poor self-reported health and needing help with Activities of Daily Living. There was also a marginal increase in depression, but no change in anxiety or pain scores. Results underscore importance of considering pre-cancer QoL when making treatment decisions for older adult cancer patients.

An excess incidence of prostate cancer has been identified among World Trade Center (WTC) responders. In this study, we hypothesized that WTC dust, which contained carcinogens and tumor-promoting agents, could facilitate prostate cancer development by inducing DNA damage, promoting cell proliferation, and causing chronic inflammation. We compared expression of immunologic and inflammatory genes using a NanoString assay on archived prostate tumors from WTC Health Program (WTCHP) patients and non-WTC patients with prostate cancer. Furthermore, to assess immediate and delayed responses of prostate tissue to acute WTC dust exposure via intratracheal inhalation, we performed RNA-seq on the prostate of normal rats that were exposed to moderate to high doses of WTC dust. WTC prostate cancer cases showed significant upregulation of genes involved in DNA damage and G2–M arrest. Cell-type enrichment analysis showed that Th17 cells, a subset of proinflammatory Th cells, were specifically upregulated in WTC patients. In rats exposed to WTC dust, we observed upregulation of gene transcripts of cell types involved in both adaptive immune response (dendritic cells and B cells) and inflammatory response (Th17 cells) in the prostate. Unexpectedly, genes in the cholesterol biosynthesis pathway were also significantly upregulated 30 days after acute dust exposure. Our results suggest that respiratory exposure to WTC dust can induce inflammatory and immune responses in prostate tissue. Implications: WTC-related prostate cancer displayed a distinct gene expression pattern that could be the result of exposure to specific carcinogens. Our data warrant further epidemiologic and cellular mechanistic studies to better understand the consequences of WTC dust exposure. Visual Overview: http://mcr.aacrjournals.org/content/molcanres/17/8/1605/F1.large.jpg.

Background Low adoption of lung cancer screening is potentially caused by inadequate access to a comprehensive lung cancer screening registry (LCSR), currently a requirement for reimbursement by the Centers for Medicare and Medicaid Services. However, variations in LCSR facilities have not been extensively studied. Methods We applied a hierarchical clustering method to a comprehensive database integrating state-level LCSR facility density, defined as the number of facilities per 100,000 at-risk persons, lung cancer outcomes including mortality and stage-specific incidence, and socioeconomic and behavioral factors. Results We found three distinct clusters of LCSR facilities roughly corresponding to the northern (cluster 1), southeastern (cluster 2), and southwestern (cluster 3) states. The southeastern states had the lowest total number of facilities (67 ± 44 in cluster 2, 74 ± 69 in cluster 1, 80 ± 100 in cluster 3), the slowest increase in facilities (23 ± 20 in cluster 2, 26 ± 28 in cluster 1, 27 ± 32 in cluster 3) between 2016 and 2018, and the highest lung cancer burden and current smokers. They ranked second in terms of facility density (2.9 ± 1.0 in cluster 3, 3.8 ± 1.3 in cluster 2, 6.3 ± 2.8 in cluster 1) and increase in facility density (1.1 ± 0.3 in cluster 3, 1.3 ± 0.7 in cluster 2, 2.5 ± 2.5 in cluster 1). Conclusions We found substantial state-level variability in LCSR facilities tied to lung cancer burden, socioeconomic characteristics, and behavioral characteristics. Given the known risk factors of lung cancer, correcting a suboptimal distribution of screening programs will likely lead to improved lung cancer outcomes.