Pre-cancer and cancer-associated depression and anxiety among older adults with blood cancers in the United States.
Thomas Michael KuczmarskiTim JaungClaire E MancusoLee MozessohnLizabeth RoemerGregory A AbelOreofe O OdejidePublished in: Blood advances (2021)
For patients with blood cancers, comorbid mental health disorders at diagnosis likely affect the entire disease trajectory, as they can interfere with disease information processing, lead to poor coping, and even cause delays in care. We aimed to characterize the prevalence of depression and anxiety in patients with blood cancers. Using the Surveillance, Epidemiology, and End Results-Medicare database, we identified patients 67 years and older diagnosed with lymphoma, myeloma, leukemia, or myelodysplastic syndromes between 2000 and 2015. We determined the prevalence of pre-cancer and cancer-associated (CA) depression and anxiety using claims data. We identified factors associated with CA-depression and CA-anxiety in multivariate analyses. Among 75,691 patients, 18.6% had at least one diagnosis of depression or anxiety. Of the total cohort, 13.7% had pre-cancer depression and/or pre-cancer anxiety, while 4.9% had CA-depression or CA-anxiety. Compared to patients without pre-cancer anxiety, those with pre-cancer anxiety were more likely to have subsequent claims for CA-depression (OR 2.98; 95% CI 2.61-3.41). Other factors associated with higher risk of CA-depression included female sex, non-married status, higher comorbidity, and myeloma diagnosis. Patients with pre-cancer depression were significantly more likely to have subsequent claims for CA-anxiety compared to patients without pre-cancer depression (OR 3.01; 95% CI 2.63-3.44). Female sex and myeloma diagnosis were also associated with CA-anxiety. In this large cohort of older patients with newly diagnosed blood cancers, almost one in five suffered from depression or anxiety, highlighting a critical need for systematic mental health screening and management for this population.
Keyphrases
- sleep quality
- newly diagnosed
- papillary thyroid
- depressive symptoms
- mental health
- squamous cell
- end stage renal disease
- chronic kidney disease
- ejection fraction
- public health
- squamous cell carcinoma
- risk factors
- physical activity
- childhood cancer
- young adults
- machine learning
- deep learning
- electronic health record
- data analysis
- community dwelling