Erschienen in:
27.09.2018 | Original Article
Comparison of the demographic characteristics of pediatric and adult colorectal cancer patients: a national inpatient sample based analysis
verfasst von:
Thomas M. Attard, Caitlin E. Lawson
Erschienen in:
World Journal of Pediatrics
|
Ausgabe 1/2019
Einloggen, um Zugang zu erhalten
Abstract
Background
Colorectal cancer in children is rare, but characterized by late presentation, unfavorable histology and poor prognosis. Risk factors for colorectal cancer in children overlap with those for adults with greater influence of hereditary syndromes. The epidemiology of colon cancer in children is poorly understood; the aim of this study was to characterize and compare the demographics and relevant clinical characteristics of pediatric and adult colon cancer, using a national inpatient sample.
Methods
The AHRQ online resource HCUPnet/KID database was queried for children, under the age of 18 admitted with ICD 9 CM diagnoses relating to colorectal cancer, at the time of discharge. For comparison, the corresponding diagnoses in adult patients were queried for each successive year. Patient demographics including residential type and median income by zip-code, tumor localization; if recorded, and mean hospital charges were all accrued and analyzed.
Results
Inpatient admissions for pediatric colorectal cancer were more likely male (54%), in the 15–17 years age bracket (57%). They were significantly more likely from Southwestern regions of the Unites States, and were significantly more likely from residential zip-codes identified as at or below the lowest income quartile than adult CRC patients or pediatric patients as a whole. Hospital charges have more than quadrupled over the time period studied (1997–2012).
Conclusions
Pediatric colorectal cancer is the most common primary gastrointestinal malignancy in children. Better understanding associated risk factors including those associated with gender, geographic region and social economic status may contribute to future prevention or early detection strategies.