Iqbal, Javed

ABSTRACT Background Lung cancer (LC) and respiratory failure (RF) are leading causes of adult mortality worldwide. Analyzing long‐term mortality trends across demographic, racial, geographic, and socioeconomic groups is essential to address disparities and enhance outcomes. This study investigates US national mortality patterns for LC and RF from 1999 to 2023, focusing on changes in age‐adjusted mortality rates (AAMRs) and key disparities. Methods Mortality data from the CDC WONDER database (1999–2023) for adults aged 25+ with LC (ICD‐10: C34) or RF (ICD‐10: J96) were analyzed. AAMRs per 100,000 were calculated, stratified by gender, race/ethnicity, region, state, and urban–rural status. Temporal trends were assessed using Joinpoint regression to estimate annual percent changes (APCs) with 95% confidence intervals (CIs), with significance at p < 0.05. Results Over 1999–2023, 456,325 deaths from LC and RF were recorded. AAMRs declined from 1999 to 2010 (APC = −1.2, 95% CI: −1.6 to −0.9) but rose from 2010 to 2023 (APC = 1.4, 95% CI: 1.1–1.7). Men's AAMRs steadily decreased, whereas women's dropped initially, then increased from 2011 to 2023 (APC = 2.0, 95% CI: 1.7 to 2.5). Non‐Hispanic Whites saw a sharp AAMR rise from 2014 to 2017 (APC = 2.7, 95% CI: 0.9 to 3.3), with other racial/ethnic groups showing mixed trends. Regionally, the Northeast had the highest AAMRs (8.6, 95% CI: 8.5 to 8.7), and the Midwest the lowest (7.1, 95% CI: 7.0 to 7.1). Metropolitan areas saw increases post‐2006, whereas nonmetropolitan areas rose after 2009 (APC = 2.3, 95% CI: 1.8–3.1). Mississippi had the highest state AAMR (14.0, 95% CI: 13.7–14.4), Wisconsin the lowest (3.7, 95% CI: 3.5–3.8). Conclusion LC and RF mortality declined until 2010, then increased, revealing significant disparities. Targeted interventions are critical to address these trends and reduce inequities.

BACKGROUND AND OBJECTIVES: It is not clear whether changes in lesion volume might represent a clinically relevant and statistically advantageous outcome parameter in early phase trials aimed at preventing bleeding in cerebral cavernous malformations (CCM). METHODS: We examined prospective changes in CCM lesion volume in the double-blinded AT CASH EPOC trial (clinicaltrials.gov NCT02603328). We correlated these with symptomatic hemorrhage (SH) events, contemporaneously assessed changes in lesional iron content by quantitative susceptibility mapping (QSM) on MRI, and objective (modified Rankin Scale (mRS)) and subjective (Euro-QoL Visual Analog Scale [EQ-VAS]) functional status. We also simulated sample sizes needed to detect potential effects on lesion volume. RESULTS: There was excellent correlation between independently assessed maximum lesion diameter and CCM lesion volume (R 2 = 0.68, P < .0001). The mean (SD) percentage change in lesion volume per year was +6 (65) and +18 (94) in atorvastatin and placebo patients, respectively ( P = .43). All cases with SH had increases in lesion volume and increases in mean lesional iron content by QSM, and most had declines in functional status on mRS and EQ-VAS, but there were no overall meaningful correlations of changes in lesion volume with concomitant changes in mean lesional QSM, mRS, or EQ-VAS (all R/R 2 < 0.5 and Bonferroni corrected P > .05), including in brainstem lesions analyzed separately. Sample size simulations indicate larger case numbers needed to demonstrate an effect on change in lesion volume than those needed to detect an effect on QSM change with α = 0.05 and β = 0.8, and even larger samples to detect effects on the number of cases with increased or decreased lesion volume. CONCLUSION: Changes in lesion volume occur frequently in CCM lesions after recent SH, but do not correlate with biomarkers of lesional bleeding, nor reflect functional changes, and are not statistically advantageous compared with QSM measures in detecting potential drug effects.