BACKGROUND We aimed to characterize premature aging as an accumulation of deficits in survivors of pediatric cancer compared to community controls and examine associations with host/treatment factors, neurocognition, and mortality.… Click to show full abstract
BACKGROUND We aimed to characterize premature aging as an accumulation of deficits in survivors of pediatric cancer compared to community controls and examine associations with host/treatment factors, neurocognition, and mortality. METHODS Pediatric cancer survivors (N = 4,000, median age 28.6 [IQR 23-35], 20 [15-27] years post-diagnosis) and community controls (N = 638, median age 32 [25-40]) completed clinical assessments, questionnaires, and were followed for mortality through April 30th, 2020 (mean [SD] follow-up 7.0 [3.4] years). A deficit accumulation index (DAI) score was calculated from 44 aging-related items including: self-reported daily function, psychosocial symptoms, and health conditions. Items were weighted from 0 (absent) to 1 (present/most severe), summed and divided by the total yielding a ratio (higher=more deficits). Scores <0.20 are robust and 0.06 is a clinically meaningful difference. Linear regression compared the DAI in survivors and controls with an age*survivor/control interaction. Logistic regression and Cox-proportional hazards estimated the risk of neurocognitive impairment and death. Models were minimally adjusted for age, sex, and race andethnicity. RESULTS The adjusted mean DAI among survivors at age 30 years was 0.16 corresponding to age 63 in controls (33 years premature aging; β = 0.07 95%CI 0.06-0.08; p<.001). Cranial/abdominal radiation, alkylators, platinum, and neurosurgery were associated with worse DAI (p's≤.001). Higher scores were associated with increased risk of neurocognitive impairment in all domains (p's<.001) and increased risk of death (DAI 0.20-0.35 HR = 2.80, 95%CI 1.97-3.98; DAI ≥0.35 HR = 5.08, 95%CI 3.52-7.34). CONCLUSION Pediatric cancer survivors experience significant premature aging. The DAI may be used to identify survivors at greatest risk of poor health outcomes.
               
Click one of the above tabs to view related content.