Waqas, Muhammad

e20629 Background: Lung cancer (LC) and respiratory failure (RF) are major contributors to mortality in adults globally. Understanding long-term mortality trends across demographic, racial, geographic, and socio-economic groups is crucial to addressing disparities and improving outcomes. This study examines national mortality patterns for LC and RF in the United States from 1999 to 2023, providing critical insights into changes over time and identifying key disparities in age-adjusted mortality rates (AAMRs). Methods: A descriptive analysis of mortality data from the CDC WONDER database (1999-2023) identified deaths due to LC (ICD-10 code C34) and RF (ICD-10 code J96) in adults aged 25+. AAMRs per 100,000 population were calculated and stratified by gender, race/ethnicity, region, state, and urban-rural classification. Temporal trends were analyzed with Joinpoint regression to compute APCs and 95% CIs. Statistical significance was set at p<0.05. The study followed STROBE guidelines. Results: From 1999 to 2023, a total of 456,325 adult deaths (age 25-85+) were attributed to Lung cancer and Renal failure. Age-adjusted mortality rates (AAMRs) for lung cancer (LC) and respiratory failure (RF) decreased from 1999 to 2010 (APC = -1.2, 95% CI: -1.6 to -0.9), followed by an increase from 2010 to 2023 (APC = 1.4, 95% CI: 1.1 to 1.7). Gender trends revealed a steady decline for men, while women's Age-Adjusted Mortality Rates (AAMr) initially decreased, then increased from 2011-2023 (APC: 2.0, 95% CI: 1.7 to 2.5). Non-Hispanic White populations experienced a rapid increase in age-adjusted mortality rates from 2014 to 2017 (APC: 2.7; 95% CI: 0.9 to 3.3), while other racial/ethnic groups exhibited varied trends with declines, increases, and stabilizations. Geographically, AAMRs were highest in the Northeast (8.6; 95% CI: 8.5 to 8.7) and lowest in the Midwest (7.1; 95% CI: 7.0 to 7.1). Metropolitan areas saw declining trends until 2006, stabilizing briefly, and increasing thereafter. Non-metropolitan areas experienced notable increases post-2009 (APC = 2.3, 95% CI: 1.8 to 3.1). State-level disparities revealed Mississippi with the highest AAMR (14.0; 95% CI: 13.7 to 14.4) and Wisconsin with the lowest (3.7; 95% CI: 3.5 to 3.8). These findings highlight significant demographic, racial, and geographic variations in LC and RF mortality trends. Conclusions: LC and RF-related mortality rates initially declined from 1999 to 2010 but increased significantly from 2010 onward, with notable demographic, racial, and geographic disparities. These findings highlight the urgent need for targeted interventions and resource allocation to address these rising trends and reduce inequities across vulnerable populations.

e23101 Background: Liver cell carcinoma (LCC) and hepatic failure (HF) are major contributors to global adult mortality. Identifying trends and disparities in LCC and HF-related deaths is critical for addressing public health challenges and guiding prevention strategies. This study examines national trends in LCC and HF-related mortality from 1999 to 2023, with an emphasis on demographic, geographic, and temporal disparities in age-adjusted mortality rates (AAMRs). Methods: Using the CDC WONDER database (1999–2023), this descriptive study identified deaths attributed to LCC (ICD-10 code C22.0) and HF (ICD-10 code K72.9) among adults aged 25 and older. Mortality data were stratified by gender, race/ethnicity, census region, urban-rural classification, and state. Age-adjusted mortality rates (AAMRs) per 1,000,000 individuals were calculated, and trends were analyzed using Joinpoint regression to determine annual percent changes (APCs) with 95% confidence intervals (CIs). Statistical significance was set at p < 0.05, and the study followed STROBE guidelines. Results: From 1999 to 2023, there were 22,963 deaths attributed to LCC and HF (Men: 17,822; Women: 5,141). Overall, AAMRs declined from 1999 to 2007 (APC: -2.4), stabilized between 2007 and 2017 (APC: 0.2), and declined again from 2017 to 2023 (APC: -3.5). Men experienced a steady AAMR decline from 1999 to 2010 (APC: -2.1), followed by stabilization (2010–2017, APC: 0.7), and further decline (2017–2023, APC: -4.4). Women showed a sharp AAMR decrease from 1999 to 2006 (APC: -3.8) and a relatively stable trend thereafter (APC: -0.1). Non-Hispanic Blacks people experienced an overall AAMR decline from 1999 to 2020 (APC: -0.9). Among Non-Hispanic Whites people, AAMRs decreased initially (1999–2006, APC: -2.6), rose slightly (2006–2018, APC: 0.5), and declined further (2018–2020, APC: -7.3). Regional AAMRs varied, with the West having the highest overall AAMR (5.6; 95% CI: 5.4–5.7) and the Midwest the lowest (3.2; 95% CI: 3.1–3.3). Hawaii reported the highest state AAMR (10.3; 95% CI: 8.9–11.6), while Arkansas had the lowest (2.4; 95% CI: 2.0–2.9). Urban-rural disparities revealed a sharper AAMR decline in metropolitan areas (1999–2005, APC: -3.9) and the non-metropolitan areas showed a slight increase (1999–2020, APC: 1.3). Conclusions: LCC and HF-related mortality rates have shown significant declines over the past two decades, with variations across gender, race, and geographic locations. Men and urban populations experienced steeper reductions in AAMRs, while rural populations exhibited slower improvements or slight increases in mortality. These findings highlight the need for targeted public health interventions to address disparities and further reduce LCC and HF-related mortality in vulnerable populations.

Background Endovascular treatment with the woven endobridge (WEB) device has been widely utilized for managing intracranial aneurysms. However, predicting the probability of achieving adequate occlusion (Raymond–Roy classification 1 or 2) remains challenging. Objective Our study sought to develop and validate a predictive calculator for adequate occlusion using the WEB device via data from a large multi-institutional retrospective cohort. Methods We used data from the WorldWide WEB Consortium, encompassing 356 patients from 30 centers across North America, South America, and Europe. Bivariate and multivariate regression analyses were performed on a variety of demographic and clinical factors, from which predictive factors were selected. Calibration and validation were conducted, with variance inflation factor (VIF) parameters checked for collinearity. Results A total of 356 patients were included: 124 (34.8%) were male, 108 (30.3%) were elderly (≥65 years), and 118 (33.1%) were current smokers. Mean maximum aneurysm diameter was 7.09 mm (SD 2.71), with 112 (31.5%) having a daughter sac. In the multivariate regression, increasing aneurysm neck size (OR 0.706 [95% CI: 0.535–0.929], p = 0.13) and partial aneurysm thrombosis (OR 0.135 [95% CI: 0.024–0.681], p = 0.016) were found to be the only statistically significant variables associated with poorer likelihood of achieving occlusion. The predictive calculator shows a c-statistic of 0.744. Hosmer–Lemeshow goodness-of-fit test indicated a satisfactory model fit with a p-value of 0.431. The calculator is available at: https://neurodx.shinyapps.io/WEBDEVICE/ . Conclusion The predictive calculator offers a substantial contribution to the clinical toolkit for estimating the likelihood of adequate intracranial aneurysm occlusion by WEB device embolization.