Back

Lung cancer and Risk of Cardiovascular Mortality

Wang, C.; Wang, Z.; Yang, J.; Zhang, S.; Zhang, P.; Yang, Y.

2024-12-08 cardiovascular medicine
10.1101/2024.12.06.24318630 medRxiv
Show abstract

PurposeTo investigate the cardiovascular mortality risk among lung cancer patients compared to the general population. MethodsUsing data from the National Cancer Institutes Surveillance, Epidemiology, and End Results program, we conducted a population-based cohort study including 278,418 lung cancer patients over 30 years old between January 1, 1990, and December 31, 2020 as well as the general population. Poisson regression was employed to calculate incidence rate ratios (IRRs) for cardiovascular mortality. ResultsPatients exhibited a significantly higher incidence rate ratio (IRR) of cardiovascular mortality risk compared to the general population [IRR 1.74, 95% confidence interval (CI) 1.71-1.77]. The risk was most pronounced in patients aged 30-79 years (IRR 2.61, 95% CI 2.55-2.66), peaking at ages 30-34 (IRR 48.93, 95% CI 21.98-108.92). Elevated cardiovascular mortality risks were observed across all subgroups, including diseases of the heart (IRR 1.79, 95% CI 1.75-1.82), cerebrovascular diseases (IRR 1.52, 95% CI 1.45-1.59), and other cardiovascular diseases (IRR 1.78, 95% CI 1.67-1.90). The first month post-diagnosis presented the highest risk for ages 30-79 (IRR 12.08, 95% CI 11.49-12.70) and [≥]80 years (IRR 4.03, 95% CI 3.70-4.39). Clinical characteristics significantly modified cardiovascular mortality. ConclusionsIntegrating cardiovascular disease monitoring and proactive management into lung cancer treatment protocols is essential to the improvement of overall survival and quality of life for lung cancer patients, particularly those who were young or with advanced tumor stage.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.