Risk of chronic comorbidities in survivors of adolescent and young adult cancer (AYA).

Authors

null

Chun Chao

Kaiser Permanente Southern California, Pasadena, CA

Chun Chao , Lanfang Xu , Kimberly L. Cannavale , F. Lennie Wong , Po-Yin S Huang , Robert Michael Cooper , Smita Bhatia , Saro Armenian

Organizations

Kaiser Permanente Southern California, Pasadena, CA, Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, City of Hope, Duarte, CA, Kaiser Permanente Southern California, Los Angeles, CA, Kaiser Permenante Southern California, Los Angeles, CA, University of Alabama at Birmingham, Birmingham, AL, City of Hope Comprehensive Cancer Center, Duarte, CA

Research Funding

Other

Background: Data needed to develop age-appropriate survivorship care guidelines for AYA cancer are lacking. Using a retrospective cohort design, we described risk of chronic comorbidities in AYA cancer survivors. Methods: 6,778 two-year survivors of cancers diagnosed at age 15-39y at Kaiser Permanente Southern California between 2000-2012 were included. A non-cancer comparison group (N = 87,737) was matched to cancer survivors (1:13) on age, sex and calendar year. New onset of comorbidities listed in Table 1 was ascertained using ICD-9 diagnosis codes, laboratory values, medication prescription and cause of death in the electronic health records through end of 2014. Incidence rate and incidence rate ratio (IRR) from Poisson regression adjusting for age, sex, race/ethnicity were derived for each comorbidity. Within cancer survivors, multivariable Poisson regression was used to evaluate the associations between chemotherapy exposures (mutually adjusted) and risk of selected comorbidities. Results: Median age at cancer diagnosis was 33y; 35% were male; 42% were non-Hispanic white. The most common cancer types were thyroid (16%), breast (16%) and melanoma (10%). Comparison with non-cancer subjects: see Table 1. Within cancer survivors: chemotherapy exposure was associated with multiple comorbidities. The largest IRR was found for methotrexate use and avascular necrosis (AN) (IRR = 15.5); followed by ifosfamide and chronic kidney disease (IRR = 8.3); and bleomycin and pulmonary fibrosis (IRR = 4.7). Conclusions: These data provide basis for identifying high-risk individuals for population-based targeted surveillance.

IRR for cancer survivors in reference to non-cancer comparisons.

IRR95% Confidence Interval
Heart Failure2.61.83.8
Coronary Artery Disease1.61.12.3
Stroke3.22.44.3
Dyslipidemia1.31.21.4
Hypertension1.41.21.5
Premature Ovarian Failure2.91.65.3
Diabetes1.51.31.7
Thyroid Disorders2.11.82.4
Hearing Loss1.71.32.1
Vision Loss1.40.72.5
Asthma1.21.01.4
COPD2.31.34.2
Severe Depression/Anxiety1.41.21.6
Chronic Liver Disease2.42.02.8
Renal Failure2.52.13.0
Avascular Necrosis8.34.614.9
Fractures2.11.62.8
Joint Replacement3.92.46.2
Osteoporosis5.83.78.9

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Abstract Details

Meeting

2018 ASCO Annual Meeting

Session Type

Poster Discussion Session

Session Title

Patient and Survivor Care

Track

Patient and Survivor Care

Sub Track

Late and Long-Term Effects

Citation

J Clin Oncol 36, 2018 (suppl; abstr 10015)

DOI

10.1200/JCO.2018.36.15_suppl.10015

Abstract #

10015

Poster Bd #

3

Abstract Disclosures

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