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1.
Brain Tumor Research and Treatment ; : 122-131, 2019.
Article in English | WPRIM | ID: wpr-763105

ABSTRACT

BACKGROUND: Racial differences in American patients undergoing brain tumour surgery remain poorly characterized within urban medical centres. Our objective was to assess racial differences in operative brain tumour patients at a single academic hospital in Los Angeles, California. METHODS: We reviewed medical records of adult patients undergoing craniotomy for tumour resection from March 2013 to January 2017 at UCLA Medical Centre. Patients were categorized as Asian, Hispanic, Black, or White. Racial cohorts were matched on demographic variables for comparisons. Our primary outcome was post-operative length of stay (LOS). Secondary outcomes included hospital mortality and discharge disposition. RESULTS: In this study, 462 patients identified as Asian (15.1%), Hispanic (8.7%), Black (3.9%), or White (72.3%). After cohort matching, non-White patients had elevated risk of prolonged LOS [odds ratio (OR)=2.62 (1.44, 4.76)]. No differences were observed in hospital mortality or non-routine discharge. Longer LOS was positively correlated with non-routine discharge [r(pb) (458)=0.41, p<0.001]. Black patients with government insurance had average LOS 2.84 days shorter than Black patients with private insurance (p=0.04). Among Hispanics, government insurance was associated with non-routine discharge [OR=4.93 (1.03, 24.00)]. CONCLUSION: Racial differences manifested as extended LOS for non-White patients, with comparable rates of hospital mortality and non-routine discharge across races. Prolonged LOS loosely reflected complicated clinical course with greater risk of adverse discharge disposition. Private insurance coverage predicted markedly lower risk of non-routine discharge for Hispanic patients, and LOS of three additional days among Black patients. Further research is needed to elucidate the basis of these differences.


Subject(s)
Adult , Humans , Asian People , Brain , Brain Neoplasms , California , Cohort Studies , Racial Groups , Craniotomy , Hispanic or Latino , Hospital Mortality , Insurance , Insurance Coverage , Length of Stay , Medical Records , Socioeconomic Factors
2.
Brain Tumor Research and Treatment ; : 1-7, 2018.
Article in English | WPRIM | ID: wpr-714212

ABSTRACT

Head computed tomography (CT) is instrumental for managing patients of all ages. However, its low dose radiation may pose a low but non-zero risk of tumor induction in pediatric patients. Here, we present a systematic literature review on the estimated incidence of brain tumor induction from head CT exams performed on children and adolescents. MEDLINE was searched using an electronic protocol and bibliographic searches to identify articles related to CT, cancer, and epidemiology or risk assessment. Sixteen studies that predicted or measured head CT-related neoplasm incidence or mortality were identified and reviewed. Epidemiological studies consistently cited increased tumor incidence in pediatric patients (ages 0–18) exposed to head CTs. Excess relative risk of new brain tumor averaged 1.29 (95% confidence interval, 0.66–1.93) for pediatric patients exposed to one or more head CTs. Tumor incidence increased with number of pediatric head CTs in a dose-dependent manner, with measurable excess incidence even after a single scan. Converging evidence from epidemiological studies supported a small excess risk of brain tumor incidence after even a single CT exam in pediatric patients. However, refined epidemiological methods are needed to control for confounding variables that may contribute to reverse causation, such as patients with pre-existing cancer or cancer susceptibility. CT remains an invaluable technology that should be utilized so long as there is clinical indication for the study and the radiation dose is as small as reasonably achievable.


Subject(s)
Adolescent , Child , Humans , Brain Neoplasms , Brain , Epidemiologic Methods , Epidemiologic Studies , Epidemiology , Head , Incidence , Mortality , Patient Safety , Pediatrics , Radiometry , Risk Assessment , Tomography, X-Ray Computed
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