Mortality In Lung Cancer Patients Research Articles

Risk score model for predicting mortality among patients with lung cancer.

To develop an accurate mortality risk predictive model among patients with lung cancer. The development cohort included 96,255 patients with lung cancer aged ≥19 years, who underwent a Korean National Health Insurance Service health check-up from 2005 to 2015. The validation cohort consisted of 18,432 patients (≥19 years) with lung cancer from another region. The outcome was all-cause mortality between January 1, 2005, and December 31, 2020. Approximately 60.5% of the development cohort died within a median follow-up period of 2.32 (0.72-5.00) years. Risk score was highest in participants aged ≥65 years, followed by those who underwent treatment, had a history of emergency room visits, and were current smokers. Participants treated by surgery had the lowest risk score, followed by combined surgery and chemotherapy, combined surgery and radiation therapy, women, and regular exercisers. The C statistic in the development and validation cohorts was 0.78 (95% confidence interval, 0.77-0.78) and 0.81 (95% confidence interval, 0.78-0.84), respectively. Advanced age, lung cancer stage, and treatment type were strong risk factors of mortality in lung cancer patients, while being a woman and exercise were preventive factors. These will aid in the prediction of mortality and management of lung cancer patients.

Comparison of five scores to predict mortality in malignant pleural effusion.

Malignant pleural effusion (MPE) is a complication of malignancy. Treatment of MPE is based on predicted outcome. The aim of this study was to compare the performance characteristics of LENT, PROMISE, RECLS, AL and pNLR scores for prediction of mortality in lung cancer patients who have MPE. Patients who were diagnosed with MPE that was associated with underlying lung cancer between January 2010 and December 2019 were included and analyzed retrospectively in a single center. Outcomes considered were 30-day, 6 months, and 1-year mortality. A total of 180 patients were examined. For 30-day mortality, the areas under the ROC curves (AUC) (95% CI) were: LENT 0.83 (0.76-0.87), RECLS 0.71 (0.63-0.77), and PROMISE 0.70 (0.17-0.38). For 6-month and 1-year mortality the order of these AUCs was similar. Cox regression showed that none of the scores were significantly associated with 30-day mortality, but LENT and RECLS were significantly associated with 6-month and 1-year mortality. Comparison of - 2log likelihood ratios showed that LENT score was more, strongly associated with 6-month mortality than PROMISE (p = 0.001) or RECLS (p = 0.02). LENT score was also more strongly associated with 1-year mortality than PROMISE (p = 0.001) but there was no difference between LENT and RECLS score (p = 0.64). We observed that the LENT score was more predictive than the other scores in mortality in patients who have lung cancer and MPE. The LENT and RECLS scores have similar performance characteristics for prediction of 1-year mortality in these patients.

Detection of cancer-associated cachexia in lung cancer patients using whole-body [18F]FDG-PET/CT imaging: A multi-centre study.

Cancer-associated cachexia (CAC) is a metabolic syndrome contributing to therapy resistance and mortality in lung cancer patients (LCP). CAC is typically defined using clinical non-imaging criteria. Given the metabolic underpinnings of CAC and the ability of [18F]fluoro-2-deoxy-D-glucose (FDG)-positron emission tomography (PET)/computer tomography (CT) to provide quantitative information on glucose turnover, we evaluate the usefulness of whole-body (WB) PET/CT imaging, as part of the standard diagnostic workup of LCP, to provide additional information on the onset or presence of CAC. This multi-centre study included 345 LCP who underwent WB [18F]FDG-PET/CT imaging for initial clinical staging. A weight loss grading system (WLGS) adjusted to body mass index was used to classify LCP into 'No CAC' (WLGS-0/1 at baseline prior treatment and at first follow-up: N=158, 51F/107M), 'Dev CAC' (WLGS-0/1 at baseline and WLGS-3/4 at follow-up: N=90, 34F/56M), and 'CAC' (WLGS-3/4 at baseline: N=97, 31F/66M). For each CAC category, mean standardized uptake values (SUV) normalized to aorta uptake (<SUVaorta>) and CT-defined volumes were extracted for abdominal and visceral organs, muscles, and adipose-tissue using automated image segmentation of baseline [18F]FDG-PET/CT images. Imaging and non-imaging parameters from laboratory tests were compared statistically. A machine-learning (ML) model was then trained to classify LCP as 'No CAC', 'Dev CAC', and 'CAC' based on their imaging parameters. SHapley Additive exPlanations (SHAP) analysis was employed to identify the key factors contributing to CAC development for each patient. The three CAC categories displayed multi-organ differences in <SUVaorta>. In all target organs, <SUVaorta> was higher in the 'CAC' cohort compared with 'No CAC' (P<0.01), except for liver and kidneys, where <SUVaorta> in 'CAC' was reduced by 5%. The 'Dev CAC' cohort displayed a small but significant increase in <SUVaorta> of pancreas (+4%), skeletal-muscle (+7%), subcutaneous adipose-tissue (+11%), and visceral adipose-tissue (+15%). In 'CAC' patients, a strong negative Spearman correlation (ρ=-0.8) was identified between <SUVaorta> and volumes of adipose-tissue. The machine-learning model identified 'CAC' at baseline with 81% of accuracy, highlighting <SUVaorta> of spleen, pancreas, liver, and adipose-tissue as most relevant features. The model performance was suboptimal (54%) when classifying 'Dev CAC' versus 'No CAC'. WB [18F]FDG-PET/CT imaging reveals groupwise differences in the multi-organ metabolism of LCP with and without CAC, thus highlighting systemic metabolic aberrations symptomatic of cachectic patients. Based on a retrospective cohort, our ML model identified patients with CAC with good accuracy. However, its performance in patients developing CAC was suboptimal. A prospective, multi-centre study has been initiated to address the limitations of the present retrospective analysis.

Advances of Fundamental Research on Traditional Chinese Medicine in Regulation of Tumor-associated Macrophages for the Prevention and Treatment of Lung Cancer Metastasis

Lung cancer is the leading cause of cancer-related deaths worldwide, with metastasis being the primary cause of mortality in lung cancer patients, and its prevention and control efficacy remain limited. In recent years, immunotherapy has emerged as a promising direction for overcoming the bottleneck of metastasis. Macrophages, as essential components of innate immunity, participate in the entire process of tumor initiation and progression. Tumor-associated macrophages (TAMs) represent the most abundant immune population in the tumor microenvironment (TME), displaying both anti-tumor M1-like and pro-tumor M2-like phenotypes. The latter promotes tumor invasion and metastasis, angiogenesis, lymphangiogenesis, immune suppression, and reactivation of dormant disseminated tumor cells (DTCs), thereby facilitating tumor metastasis. In recent years, traditional Chinese medicine (TCM) has shown significant efficacy in inhibiting tumor metastasis and has been extensively validated. It exerts anti-tumor effects by reducing the recruitment of TAMs, inhibiting M2-like polarization, and modulating cytokines and proteins in the TME. This paper reviews the relationship between TAMs and lung cancer metastasis, elucidates the targets and mechanisms of TCM in regulating TAMs to prevent and treat lung cancer metastasis, aiming to provide insights into lung cancer prevention and treatment. .

128 90 day admissions and mortality in lung cancer patients

128 90 day admissions and mortality in lung cancer patients

Incidence and Predictors of Venous Thromboembolism and Mortality in Saudi Lung Cancer Patients: A Retrospective Two-center Cohort Study

BACKGROUND: Venous thromboembolism (VTE) frequently occurs among individuals with cancer, and lung cancer (LC) is among the malignancies associated with the highest rate of VTE development. PURPOSE: The study’s objective was to ascertain the incidence rates of VTE and evaluate predictors of both VTE occurrence and mortality in LC patients. METHODS: This two-center retrospective study involved 497 Saudi Arabian patients diagnosed with LC aged ≥ 18 years. In this study, we calculated VTE incidence and mortality rates. We conducted Cox regression analyses (both univariate and multivariate) to explore the relationship between patient characteristics, VTE, and mortality using a 95% confidence interval (CI) and hazard ratios (HRs). RESULTS: Among 497 LC patients, 98 developed VTE, resulting in a prevalence rate of 9.8 per 100 person-years (PYs) with a 95% CI of 8.0–11.8. Furthermore, 280 patients passed away, resulting in a mortality rate of 26.5 per 100 PY with a 95% CI of 23.9–29.3. Low albumin levels, diagnosis of nonsmall cell LC (NSCLC), and high Eastern Cooperative Oncology Group (ECOG) performance status were all independent risk factors for VTE. Patients with VTE had notably higher mortality risk (HR: 3.10; 95% CI, 2.53–3.91; P &lt; 0.001) than non-VTE patients. The Kaplan–Meier analyses showed that the predicted median time of VTE occurrence was significantly higher in small cell LC (SCLC) (33.7 months) (P = 0.002 by the log-rank test) compared to NSCLC (28.7 months) patients. Furthermore, the estimated median time of survival for NSCLC patients (23.8 months) was significantly lower than in SCLC (29.7 months) (P &lt; 0.001 by the log-rank test). CONCLUSION: The study findings indicated that the VTE occurrence in LC patients was 9.8 per 100 PY, with a corresponding mortality rate of 26.5 per 100 PY. Reduced levels of albumin, ECOG performance status, and NSCLC emerged as significant risk factors of VTE. Patients who experienced VTE had a 3.10-fold higher mortality risk than non-VTE LC patients.

Immune checkpoint inhibitor increased mortality in lung cancer patients with Pneumocystis jirovecii pneumonia: a comparative retrospective cohort study.

Pneumocystis jirovecii pneumonia (PJP) is a life-threatening infection in immunocompromised individuals. Immune checkpoint inhibitor (ICI) has brought significant survival benefit in lung cancer patients. Although the few studies showed there was high mortality in PJP patients with ICI use, these studies had no comparative control groups. A retrospective study was conducted to compare the mortality in PJP patients with lung cancer between those treated with ICI and a concurrent control group treated without ICI. A total number of 20 non-human immunodeficiency virus (HIV) patients with confirmed PJP and co-existing lung cancer were included in the current study, and classified into ICI group (n=9) and non-ICI group (n=11).There was a clear trend to a shorter onset of PJP in ICI group than non-ICI group (118.9 ± 60.9 vs 253.0 ± 185.1 days), although without statistical significance (p=0.053). Bronchoscopic alveolar lavage fluid were collected from all patients and used to identify Pneumocystis jirovecii. In both groups, metagenomics next-generation sequencing (mNGS) were the most used diagnostic techniques. Within 28 days after the onset of PJP, mortality was significantly higher in the ICI group than non-ICI group (33.3% vs 0, p=0.042). Lung cancer patients with ICI use had a higher mortality rate after PJP infection than patients without ICI use. Prospective studies with larger sample size and a multi-center design are warranted to further verify the present results.

Factors associated with short- and long-term outcomes in lung cancer patients requiring unplanned invasive mechanical ventilation

ObjectiveUnplanned invasive mechanical ventilation (IMV) is associated with high mortality in lung cancer patients. We aimed to identify factors associated with weaning from IMV, intensive care unit (ICU) survival and 1-year survival in lung cancer patients requiring unplanned IMV. DesignRetrospective observational study (2007–2017). SettingUniversity-affiliated ICU. PatientsLung cancer patients requiring unplanned IMV. InterventionNone. Main variables of interestWeaning from IMV, ICU and 1-year survival. ResultsOf the 136 patients included in the analysis (age 64 (9) years, male 110 (81%), metastatic disease 97 (62%)), 52 (38%) were weaned from IMV, 51 (38%) were discharged from ICU and 22 (16%) were alive at 1year. The main indication for intubation was acute respiratory failure. In multivariate analysis, PaO2/FiO2 >175mmHg at ICU admission and intubation before ICU admission were associated with successful weaning from IMV while intubation for cardiac arrest was associated with weaning failure. Same factors were associated with ICU survival. Absence of metastasis at ICU admission and lung resection surgery were independently associated with 1-year survival. ConclusionsA significant proportion of patients with lung cancer treated with unplanned IMV could be weaned from IMV and survived to ICU discharge, especially in the absence of severe hypoxemia at ICU admission. The low one-year survival was mostly driven by metastatic status.

Predictors of mortality in lung cancer patients hospitalized with community-acquired pneumonia

Predictors of mortality in lung cancer patients hospitalized with community-acquired pneumonia

CAMSAP2 enhances lung cancer cell metastasis by mediating RASAL2 degradation

AimsCancer metastasis significantly contributes to mortality in lung cancer patients. Calmodulin-regulated spectrin-associated protein family member 2 (CAMSAP2) plays a significant role in cancer cell migration; however, its role in lung cancer metastasis and the underlying mechanism remain largely unknown. The present study aimed to investigate the impact of CAMSAP2 on lung cancer. Main methodsThe clinical relevance of CAMSAP2 in lung cancer patients was assessed using public database. RNA interference experiments were conducted to investigate role of CAMSAP2 in cell migration through transwell and wound healing assays. Molecular mechanisms were explored by identifying the possible interacting partners and pathways using the BioGRID and KEGG pathway analyses. The impact of CAMSAP2 on Ras protein activator-like 2 (RASAL2)-mediated lung cancer metastasis was investigated through biochemical assays. Additionally, in vivo experimentation using a murine tail vein metastasis model was performed to comprehend CAMSAP2's influence on metastasis. Key findingsA high expression level of CAMSAP2 was associated with poor overall survival in lung cancer patients and it positively correlated with cell migration in non-small cell lung cancer (NSCLC) cell lines. Knockdown of CAMSAP2 inhibited lung cancer cell motility in vitro and metastasis in vivo. Proteomic and biochemical analyses revealed the interaction between CAMSAP2 and RASAL2, which facilitates the degradation of RASAL2 through the ubiquitin–proteasome system. These degradation processes resulted in the activation of the extracellular signal-regulated kinase (ERK) signaling pathway, thereby promoting lung cancer metastasis. Collectively, the results of this study suggest that CAMSAP2 is a crucial regulator of cancer cell migration and metastasis and a promising therapeutic target for lung cancer.

Factors associated with short- and long-term outcomes in lung cancer patients requiring unplanned invasive mechanical ventilation

ObjectiveUnplanned invasive mechanical ventilation (IMV) is associated with high mortality in lung cancer patients. We aimed to identify factors associated with weaning from IMV, intensive care unit (ICU) survival and 1-year survival in lung cancer patients requiring unplanned IMV. DesignRetrospective observational study (2007–2017). SettingUniversity-affiliated ICU. PatientsLung cancer patients requiring unplanned IMV. InterventionNone. Main variables of interestWeaning from IMV, ICU and 1-year survival. ResultsOf the 136 patients included in the analysis (age 64 (9) years, male 110 (81%), metastatic disease 97 (62%)), 52 (38%) were weaned from IMV, 51 (38%) were discharged from ICU and 22 (16%) were alive at 1year. The main indication for intubation was acute respiratory failure. In multivariate analysis, PaO2/FiO2 >175mmHg at ICU admission and intubation before ICU admission were associated with successful weaning from IMV while intubation for cardiac arrest was associated with weaning failure. Same factors were associated with ICU survival. Absence of metastasis at ICU admission and lung resection surgery were independently associated with 1-year survival. ConclusionsA significant proportion of patients with lung cancer treated with unplanned IMV could be weaned from IMV and survived to ICU discharge, especially in the absence of severe hypoxemia at ICU admission. The low one-year survival was mostly driven by metastatic status.

The Coincidence of Aspergillus and Primary Lung Adenocarcinoma. A Case Report and Literature Review

"Although infrequent, lung cancer can be disguised by the synchronous presence of a fungal infection, most notably by the Aspergillus species. Some cases of incidental adenocarcinoma diagnosed during surgical treatment of pulmonary aspergillosis have been reported, showing just how these fungi can hide more serious, underlying pathology. This review aims to raise awareness about this occurrence to accelerate the correct etiological diagnosis, establish a timely oncological treatment, and improve the overall morbidity and mortality in lung cancer patients. In addition, we present a rather alluring case of concurrent adenocarcinoma and Aspergillus infection to display how these two entities can appear together."

Unplanned Hospitalization and Subsequent Mortality in Lung Cancer Patients Undergoing Concomitant Chemo-/Immuno-Therapy and Radiotherapy: An Analysis of Over 10,000 Patients in a Nationwide Database

Radiotherapy (RT) and concomitant chemotherapy (CHT) is a major modality for treating many malignancies including lung cancer and is associated with toxicity-related unplanned hospitalization (UPH). Previous investigations of factors associated with UPH have been single institutional retrospective studies and none assessed the role of concurrent immunotherapy (IO). Here, we aimed to identify factors associated with UPH and in-hospital mortality by leveraging a multi-institutional nationwide database. The Vizient® Clinical Data Base which includes data from 98% of the AAMC hospitals and 110 cancer hospitals, was queried for lung cancer patients (any histology) treated in 2019-2021 with RT+CHT/IO. Endpoints were UPH and mortality during or within 30 days of completion of RT. The variables included age, sex, race, ethnicity, income level (quartile), an education level (quartile), any concomitant CHT or IO drugs, RT technique (3D vs. IMRT vs. SBRT), obesity, prior hospitalization within 3 months, prior oncologic surgery within 3 months, prior CHT and/or IO within 3 months, insurance types, hospital types (Rural vs. Urban, AAMC vs. non-AAMC, NCCN vs. non-NCCN, bed size tertile). Logistic regression was performed to identify variables associated with UPH and in-hospital mortality. Data from the Vizient Clinical Data Base used with permission of Vizient, Inc. All rights reserved. A total of 10,337 patients were included. The rate of UPH and mortality among UPH was 24.5% and 3.2%, respectively. Factors associated with UPH included other races (vs. White, OR 1.44; 95% CI 1.11-1.88; p<0.001), living in a low income zip code (OR 1.7; 95% CI 1.39-2.09; p = 0.0006), living in a zip code with lower education attainment (OR 0.71; 95% CI 0.58-0.86; p = 0.0007), CHT/IO types (cis-etoposide vs. carbo-Taxol, OR 1.33; 95% CI 1.13-1.57; p<0.0001), obesity (OR 1.71; 95% CI 1.53-1.92; p<0.0001), prior hospitalization (OR 2.0; 95% CI 1.80-2.22; p<0.0001), prior oncologic surgery (OR 0.34; 95% CI 0.22-0.52; p<0.0001), other primary payers (vs. commercial; OR 1.75; 95% CI 1.37-2.23; p<0.0001), rural hospital (OR 1.3; 95% CI 1.07-1.62, p<0.01), small bed size (OR 0.59; 95% CI 0.5-0.71; p<0.0001). Factors associated with in-hospital mortality included CHT/IO type (p<0.0001, but cis-etoposide vs. carbo-taxol no difference), prior hospitalization (OR 0.34; 95% CI 0.2-0.56; p<0.0001), AAMC (OR 2.12; 95% CI 1.23-3.67; p = 0.007), bed size (OR 0.58; 95% CI 0.38-0.88; p<0.01). In the largest study to date regarding UPH and in-hospital mortality related to lung RT, we identified factors contributing to these endpoints. Future prospective studies are warranted to develop strategies to prevent these complications in high-risk populations.

Risk factors for mortality among lung cancer patients with covid-19 infection: A systematic review and meta-analysis.

Lung cancer patients with coronavirus disease 2019 (COVID-19) infection experience high mortality rates. The study aims to determine the risk factors for mortality in lung cancer patients with COVID-19 infection. Followed the PRISMA reporting guidelines, PubMed, Embase, and Web of Science were systematically searched to February 20, 2023, for studies of lung cancer patients with COVID-19 infection. The main outcome of interest was the risk factor for mortality. We also compared the mortality rate of those patients among different continents. A pooled risk ratio (RR) with 95% CI was presented as the result of this meta-analysis. Meta-analysis of 33 studies involving 5018 patients showed that pooled mortality rate of lung cancer in COVID-19 patients was 0.31 (95% CI: 0.25-0.36). Subgroup analysis based on the continents showed significant difference of the mortality rate was observed between Asia and the rest of world (χ2 = 98.96, P < 0.01). Older age (SMD: 0.24, 95% CI: 0.09-0.40, P < 0.01), advanced lung cancer (RR: 1.14, 95% CI: 1.04-1.26, P < 0.01), coexisting comorbidities such as hypertension (RR: 1.17, 95% CI: 1.01-1.35, P = 0.04) and cardiovascular disease (RR: 1.40, 95% CI: 1.03-1.91, P = 0.03) were associated with higher risk of mortality rate in those patients. Findings of this meta-analysis confirms an increased risk of mortality in lung cancer patients with COVID-19 infection, whose risk factors for these patients appear to be exacerbated by older age, advanced-stage lung cancer, and comorbidities such as hypertension and cardiovascular disease.

A Machine Learning-Based Model to Predict In-Hospital Mortality of Lung Cancer Patients: A Population-Based Study of 523,959 Cases.

Background: Stratify new lung cancer patients based on the risk of in-hospital mortality rate after diagnosis. Methods: 522,941 lung cancer cases with available data on the Surveillance, Epidemiology, and End Results (SEER) were analyzed for the predicted probability based on six fundamental variables including age, gender, tumor size, T, N, and AJCC stages. The patients were randomly assigned to the training (n = 115,145) and validation datasets (n = 13,017). The remaining cohort with missing values (n = 394,779) was then combined with the primary lung tumour datasets (n = 1018) from The Cancer Genome Atlas, Lung Adenocarcinoma and Lung Squamous Cell Carcinoma projects (TCGA-LUAD & TCGA-LUSC) for external validation and sensitivity analysis. Results: Receiver Operating Characteristic (ROC) analyses showed high discriminatory power in the training and internal validation cohorts (Area under the curve [AUC] of 0.78 (95%CI = 0.78-0.79) and 0.78 (95%CI = 0.77-0.79), respectively), whereas that of the model on external validation data was 0.759 (95%CI = 0.757-0.761). We developed a static nomogram, a web app, and a risk table based on a logistic regression model using algorithm-selected variables. Conclusions: Our model can stratify lung cancer patients into high- and low-risk of in-hospital mortality to assist clinical further planning.

Serum Uric Acid and Hemoglobin Levels as Prognostic Factors for COVID-19 Disease in Lung Cancer Patients

Objective: Cancer patients have a higher risk of COVID-19 infection compared to the healthy population. Therefore, the aim of this study is to assess the parameters and inflammatory indices that influence mortality in lung cancer patients who contract COVID-19. Material and Methods: The sample of this single-center retrospective study comprised 66 patients diagnosed with lung cancer and treated for COVID-19 between April 2020 and July 2021. The neutrophil/lymphocyte ratio, platelet/lymphocyte ratio, prognostic index, modified Glasgow prognostic score, and COVID inflammatory score were calculated for all patients. A total of twenty-seven potential prognostic variables were identified for further analysis through univariate and multivariate analyses. Results: Seven variables with statistically significant prognostic values were identified as a result. The identified variables include having received chemotherapy in the last 28 days, hospitalization in the intensive care unit, the need for mechanical ventilation, receipt of COVID-19 corticosteroid treatment, serum uric acid level, hemoglobin level, and platelet count. The seven variables with prognostic value were subjected to Cox regression analysis. The results of the multivariate logistic regression analysis indicated that low hemoglobin and low uric acid levels emerged as independent risk factors for survival in lung cancer patients infected with COVID-19. Conclusion: To the best of our knowledge, this is the first study to suggest that serum hemoglobin levels less than 10 g/dL and serum uric acid levels less than 3.5 mg/dL can serve as prognostic factors in lung cancer patients infected with COVID-19, aiding in predicting mortality.

Risk assessment for postoperative venous thromboembolism using the modified Caprini risk assessment model in lung cancer.

Postoperative venous thromboembolism (VTE) is a well-documented cause of morbidity and mortality in lung cancer patients. However, risk identification remains limited. In this study, we sought to analyze the risk factors for VTE and verify the predictive value of the modified Caprini risk assessment model (RAM). This prospective single-center study included patients with resectable lung cancer who underwent resection between October 2019 and March 2021. The incidence of VTE was estimated. Logistic regression was used to analyze the risk factors for VTE. Receiver operating characteristic (ROC) curve analysis was performed to test the ability of the modified Caprini RAM to predict VTE. The VTE incidence was 10.5%. Several variables, including age, D-dimer, hemoglobin (Hb), bleeding, and patient confinement to bed were significantly associated with VTE after surgery. The difference between the VTE and non-VTE groups in the high-risk levels was statistically significant (P<0.001), while the low and moderate risk levels showed no significant difference. The combined use of the modified Caprini score and the Hb and D-dimer levels showed an area under the curve (AUC) was 0.822 [95% confidence interval (CI): 0.760-0.855. P<0.001]. The risk-stratification approach of the modified Caprini RAM is not particularly valid after lung resection in our population. The use of the modified Caprini RAM combined with Hb and D-dimer levels shows a good diagnostic performance for VTE prediction in patients with lung cancer undergoing resection.

Impact of SARS-COV2 infection on the clinical outcomes in patients with lung cancer compared to all other cancers.

8562 Background: The outbreak of 2019 Novel coronavirus disease (COVID) has led to various deleterious outcomes in cancer patients. Those with lung cancer were noted to have increased morbidity and mortality when infected with COVID. We aimed to study the outcomes of COVID infection in patients with lung cancer compared to those with all other types of cancer. Methods: Healthcare Cost and Utilization Project-Nationwide Inpatient Sample database-2020 was queried to identify all COVID patients with lung cancer and those with all other types of cancer excluding lung cancer. The groups were compared for socio-demographic differences, medical comorbidities, inpatient mortality, length of stay (LOS), and total hospital charges (THC). Secondary outcomes included a diagnosis of thrombocytopenia (TCP), Acute Respiratory Failure (ARF), sepsis, anemia, pancytopenia and shock. Statistics were performed using t-test, univariate and multinomial logistic regression. Results: A total 1,050,045 COVID-19 admissions in cancer patients were identified, of which 4,625 (8.7%) had lung cancer whereas 48,840 (91.3%) had other types of cancer other than lung cancer. Lung cancer patients were older (Mean age 72 vs 69 years, p &lt; 0.01). There was a higher prevalence of lung cancer compared to other cancers in whites (71 vs 58%, p &lt; 0.01), hispanics had a lesser prevalence of lung cancer (7 vs 17%, p &lt; 0.01). Lung cancer patients has a higher Charlson Comorbidity burden ( &gt; 2) compared to other cancers (91 vs 62%, p &lt; 0.01). Lung cancer patients were less likely to have private insurance (14 vs 22%, p &lt; 0.01). Among the comorbidity burden, lung cancer patients had a higher rate of dyslipidemia, COPD, Coronary artery disease, Smoking, venous thromboembolism (p &lt; 0.05). A total of 8,135 cancer patients who were admitted with COVID died, among them 970 (11.9%) had lung cancer and 7,165 (88.1%) had other types of cancer making up 21% of all lung cancer admissions that died compared to 14.7% other cancer admissions (p &lt; 0.05). On multivariate regression analysis, after adjusting for confounders those with lung cancer had a higher odds of all-cause mortality (aOR 1.37; 95% CI: 1.13-1.67,p = 0.002). Among lung cancer patients, adjusted LOS was reduced by 0.6 days (95% CI: -1.2 to -0.1, p = 0.017) and adjusted THC was decreased by $11,977 (95% CI: -19,010 to -4,943, p = 0.001). Among the secondary outcomes, lung cancer patients had lower rates of thrombocytopenia (6.5 vs 8.8%, p = 0.01) and anaemia (34.4 vs 38.5%, p = 0.02) compared to other cancer types. Conclusions: COVID-19 infection led to increased mortality in lung cancer patients compared to those with other types of cancer. The lower healthcare utilization was likely due to early mortality in the lung cancer cohort. This study calls attention to the increased vulnerability of lung cancer patients to the SARS COV2 infection than other cancer types.

Impact of SARS-COV2 infection on the clinical outcomes in patients with lung cancer.

e20572 Background: The outbreak of 2019 Novel coronavirus disease (COVID-19) has led to various deleterious outcomes in cancer patients. Those with lung cancer would be more susceptible to increased morbidity and mortality. We aimed to study the outcomes of COVID infection in patients with lung cancer. Methods: Healthcare Cost and Utilization Project-Nationwide Inpatient Sample database-2020 was queried to identify all admissions with COVID in patients with and without lung cancer. The groups were compared for socio-demographic differences, medical comorbidities, inpatient mortality, length of stay (LOS), and total hospital charges (THC). Secondary outcomes included a diagnosis of thrombocytopenia (TCP), Acute Respiratory Failure (ARF), sepsis, anemia, pancytopenia and shock. Statistics were performed using t-test, univariate and multinomial logistic regression. Results: A total 4,625 COVID admissions occurred in patients with lung cancer. Among them 71% (N = 3,288) were white, 17% (N = 805) were African American (AA) and 6.7% (N = 310) were Hispanic (HISP). Lung cancer patients had higher rates of smoking heart failure, CKD, CAD, COPD and anemia (p &lt; 0.01) and lower rates of DM and obesity (p &lt; 0.01). Lung cancer patients were more likely to have Medicare and less likely to have private insurance and were older (mean age 64.7 vs 71.9, p &lt; 0.01). On multivariate regression, after adjusting for confounders those with lung cancer had higher odds of all-cause mortality (aOR 1.41; 95% CI 1.18-1.70 ,p = &lt; 0.001). Among lung cancer patients, mean LOS was lower by 1 day (95% CI -1.4 to -0.4, p &lt; 0.001) and THC was also lower (-$16,672; 95% CI -22950 to -10393, p &lt; 0.001). Among the secondary outcomes, lung cancer patients had higher rates of pancytopenia (7.46% vs 1.59%, p &lt; 0.001), neutropenia (3.46% vs 0.68%, p &lt; 0.001) and venous thromboembolism (8.97% vs 4.29%, p = 0.006). Conclusions: COVID-19 infection led to increased mortality in lung cancer patients compared to those without lung cancer. This explains the overwhelming impact the pandemic left on lung cancer patients. The LOS and THC was decreased for lung cancer patients which may be explained by early death compared to non-lung cancer cohort. This study highlights the importance of decreasing the risk factors for COVID infection among lung cancer patients, including encouraging vaccination.

Mortality risk according to smoking trajectories after cancer diagnosis among Korean male cancer survivors: A population-based cohort study.

Previous research on post-diagnosis smoking among cancer survivors mainly relied on smoking status, which may not fully reflect the impact of changes in smoking levels. This study aimed to evaluate mortality risk according to smoking trajectories among Korean male cancer survivors, using a trajectory approach to comprehensively capture smoking patterns. The study included 110555 men diagnosed with cancer between 2002 and 2018 from the Korean National Health Information Database. Group-based trajectory modelling was used to identify post-diagnosis smoking trajectories among pre-diagnosis current smokers (n=45331). Cox hazards models were fitted to evaluate mortality risk according to smoking trajectories for pooled cancers, pooled smoking-related cancers, smoking-unrelated cancers, and gastric, colorectal, liver, and lung cancers. Smoking trajectories included light-smoking quitters, heavy-smoking quitters, consistent moderate smokers, and decreasing heavy smokers. Smoking significantly increased all-cause and cancer mortality risks in cancer patients for pooled cancers, pooled smoking-related cancers, and pooled smoking-unrelated cancers. Compared to non-smokers, all-cause mortality risk for pooled cancers significantly increased according to smoking trajectories:(AHR=1.33; 95% CI: 1.27-1.40), (AHR=1.39; 95% CI: 1.34-1.44), (AHR=1.44; 95% CI: 1.34-1.54), and (AHR=1.47; 95% CI: 1.36-1.60), respectively. Smoking increased all-cause and cancer mortality risks in gastric and colorectal cancer patients and cancer-specific mortality in lung cancer patients. The significant associations of smoking trajectories with all-cause and cancer mortality risks were primarily observed in 5-year survivors but not in short-term survivors. Among heavy smokers, smoking cessation significantly reduced all-cause mortality risk in the long-term. The post-diagnosis smoking trajectory independently predicts cancer prognosis among male cancer patients. Proactive cessation support should be strengthened, particularly for those who smoke heavily.