Lung cancer patients with comorbid conditions face higher risk of death

Lung cancer patients with comorbid conditions such as chronic obstructive pulmonary disease, diabetes, or congestive heart failure had a higher risk of death than lung cancer patients without comorbid conditions, according to a study published in Cancer Epidemiology, Biomarkers & Prevention, a journal of the American Association for Cancer Research.

"The prevalence of comorbidities is higher in older lung cancer patients than patients who are younger," said K.M. Monirul Islam, M.D., Ph.D., an assistant professor in the department of epidemiology at the University of Nebraska Medical Center College of Public Health. "As the population of the United States ages, there will be a higher number of lung cancer patients with comorbidities at diagnosis."

Lung cancer is the leading cause of cancer death in the United States, killing more than 135,000 people per year. More people die from lung cancer annually than die from breast, colon, and prostate cancers combined. The five-year survival rate is only about 17 percent.

Currently, survival is the only significant measure of treatment success, Islam said. Comorbid conditions can affect lung cancer survival in many ways, including complicating diagnostic evaluation, leading to less accurate disease staging, he added.

"We found that lung cancer patients with comorbidities had about a nine-month average survival, which is shorter than the national average," Islam said. "We also found that 74 percent of the patients had one or more comorbidities. More than 50 percent of those with comorbidities had pulmonary disease, while 16 percent had diabetes, and 13 percent had congestive heart failure."

Islam and colleagues found that among patients with localized lung cancer, those with one comorbidity had a 30 percent higher risk of mortality compared with those who had no comorbidity. Among patients with metastatic lung cancer, comorbidity had less impact on survival.

"This could be due to the very short survival in advanced-stage lung cancer patients," Islam said.

Patients with comorbidity were found to have poorer survival at each stage, he said, and the difference in survival between patients with and without comorbidity seemed to be greater in less advanced stages.

To analyze the overall survival of lung cancer patients with or without comorbidities, Islam's research team conducted a population-based cohort study of 5,683 lung cancer patients identified from the Nebraska Cancer Registry and Nebraska Hospital Discharge Data. They also studied the overall survival in patients with any of the 14 comorbidities identified from the Charlson Comorbidity Index.

"Most previous studies aggregate all comorbidities into an index with little consideration of how a specific comorbid condition can impact lung cancer outcomes in an individual," Islam said.

"Our results are based on cancer registry data from one state, so the results may not be generalizable to other populations. There is a need for a prospective study to confirm these results," Islam cautioned. "We are planning to develop a lung cancer-specific comorbidity index using prospective data for the best estimate of the impact of individual comorbid conditions on survival."

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Study shows AI can predict prognosis in triple-negative breast cancer