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Objective: Examine the influence of household income on health‐related quality of life (HRQOL) among children with newly diagnosed acute myeloid leukemia (AML). Design: Secondary analysis of data prospectively collected from pediatric patients receiving treatment for AML at 14 hospitals across the United States. Exposure: Household income was self‐reported on a demographic survey. The examined mediators included the acuity of presentation and treatment toxicity. Outcome: Caregiver proxy reported assessment of patient HRQOL from the Peds QL 4.0 survey. Result: Children with AML (n = 131) and caregivers were prospectively enrolled to complete PedsQL assessments. HRQOL scores were better for patients in the lowest versus highest income category (mean ± SD: 76.0 ± 14 household income <$25,000 vs. 59.9 ± 17 income ≥$75,000; adjusted mean difference: 11.2, 95% CI: 2.2–20.2). Seven percent of enrolled patients presented with high acuity (ICU‐level care in the first 72 h), and 16% had high toxicity (any ICU‐level care); there were no identifiable differences by income, refuting mediating roles in the association between income and HRQOL. Enrolled patients were less likely to be Black/African American (9.9% vs. 22.2%), more likely to be privately insured (50.4% vs. 40.7%), and more likely to have been treated on a clinical trial (26.7% vs. 18.5%) compared to eligible unenrolled patients not enrolled. Evaluations of potential selection bias on the association between income and HRQOL suggested differences in HRQOL may be smaller than observed or even in the opposing direction. Conclusions: While primary analyses suggested lower household income was associated with superior HRQOL, differential participation may have biased these results. Future studies should partner with patients/families to identify strategies for equitable participation in clinical research. [ABSTRACT FROM AUTHOR]

Background: Pediatric acute myeloid leukemia (AML) chemotherapy increases the risk of life‐threatening complications, including septic shock (SS). An area‐based measure of social determinants of health, the social disorganization index (SDI), was hypothesized to be associated with SS and SS‐associated death (SS‐death). Methods: Children treated for de novo AML on two Children's Oncology Group trials at institutions contributing to the Pediatric Health Information System (PHIS) database were included. The SDI was calculated via residential zip code data from the US Census Bureau. SS was identified via PHIS resource utilization codes. SS‐death was defined as death within 2 weeks of an antecedent SS event. Patients were followed from 7 days after the start of chemotherapy until the first of end of front‐line therapy, death, relapse, or removal from study. Multivariable‐adjusted Cox regressions estimated hazard ratios (HRs) comparing time to first SS by SDI group. Results: The assembled cohort included 700 patients, with 207 (29.6%) sustaining at least one SS event. There were 233 (33%) in the SDI‐5 group (highest disorganization). Adjusted time to incident SS did not statistically significantly differ by SDI (reference, SDI‐1; SDI‐2: HR, 0.84 [95% confidence interval (CI), 0.51–1.41]; SDI‐3: HR, 0.70 [95% CI, 0.42–1.16]; SDI‐4: HR, 0.97 [95% CI, 0.61–1.53]; SDI‐5: HR, 0.72 [95% CI, 0.45–1.14]). Nine patients (4.4%) with SS experienced SS‐death; seven of these patients (78%) were in SDI‐4 or SDI‐5. Conclusions: In a large, nationally representative cohort of trial‐enrolled pediatric patients with AML, there was no significant association between the SDI and time to SS. Time to first septic shock event was not associated with the social disorganization index (SDI), an area‐based measure of social determination of health, in children with acute myeloid leukemia treated on two Children's Oncology Group trials. Septic shock–associated mortality is rare in children with acute myeloid leukemia, and differences by SDI were not able to be detected. [ABSTRACT FROM AUTHOR]

Background: Adolescents with cancer engage in sexual behaviors and are exposed to teratogenic chemotherapy. There are no data regarding pregnancy screening patterns for adolescents before chemotherapy exposure.Methods: A cross-sectional study of leukemia and emergency room (ER) admissions in the Pediatric Health Information System from 1999 to 2011 was conducted. Females who were 10 to 18 years old and 1) had newly diagnosed acute lymphoblastic leukemia (ALL) or acute myeloid leukemia (AML) or 2) had ER visits with computed tomography (CT) of the abdomen/pelvis were included. The exposure was a hospital visit with either chemotherapy or an abdominal/pelvic CT scan. The main outcome was a pregnancy test billed on the same day or before the teratogenic exposure within the same index admission. Log-binomial regressions were used to compute prevalence ratios and 95% confidence intervals comparing pregnancy screening in the leukemia and ER cohorts.Results: A total of 35,650 admissions were identified. The proportion of visits with an appropriately timed pregnancy test was 35%, 64%, and 58% in the ALL (n = 889), AML (n = 127), and ER cohorts (n = 34,634), respectively. Patients with ALL were significantly less likely to have a pregnancy test than the ER cohort (adjusted prevalence ratio, 0.71; 95% confidence interval, 0.65-0.78), but there was no significant difference between the AML and ER cohorts (adjusted prevalence ratio, 1.12; 95% confidence interval, 0.99-1.27). There was substantial hospital-level variation in pregnancy screening patterns.Conclusions: Adolescents with acute leukemia and ER visits have low rates of pregnancy screening before teratogenic exposures. Standardized practice guidelines for pregnancy screening among adolescents may improve screening rates. Cancer 2016;122:3394-3400. © 2016 American Cancer Society. [ABSTRACT FROM AUTHOR]

Purpose: Clinical trials data from National Cancer Institute (NCI)-funded cooperative oncology group trials could be enhanced by merging with external data sources. Merging without direct patient identifiers would provide additional patient privacy protections. We sought to develop and validate a matching algorithm that uses only indirect patient identifiers. Methods: We merged the data from two Phase III Children’s Oncology Group (COG) trials for de novo acute myeloid leukemia (AML) with the Pediatric Health Information Systems (PHIS). We developed a stepwise matching algorithm that used indirect identifiers including treatment site, gender, birth year, birth month, enrollment year and enrollment month. Results from the stepwise algorithm were compared against the direct merge method that used date of birth, treatment site, and gender. The indirect merge algorithm was developed on AAML0531 and validated on AAML1031. Results: Of 415 patients enrolled on the AAML0531 trial at PHIS centers, we successfully matched 378 (91.1%) patients using the indirect stepwise algorithm. Comparison to the direct merge result suggested that 362 (95.7%) matches identified by the indirect merge algorithm were concordant with the direct merge result. When validating the indirect stepwise algorithm using the AAML1031 trial, we successfully matched 157 out of 165 patients (95.2%) and 150 (95.5%) of the indirectly merged matches were concordant with the directly merged matches. Conclusions: These data demonstrate that patients enrolled on COG clinical trials can be successfully merged with PHIS administrative data using a stepwise algorithm based on indirect patient identifiers. The merged data sets can be used as a platform for comparative effectiveness and cost effectiveness studies. [ABSTRACT FROM AUTHOR]

Background Infections are a leading cause of morbidity and mortality in children with cancer. Although data are limited, the impact of infection in this population appears to be amplified in low- and middle-income countries. Defining the epidemiology of infection in a specific region is paramount to developing effective interventions. This study aims to define the epidemiology of and outcomes from infection in children with leukemia in the Dominican Republic. Methods A retrospective cohort was assembled of children newly diagnosed with leukemia between July 1, 2015 and June 30, 2017 at Hospital Infantil Dr. Robert Reid Cabral in Santo Domingo. Patients were identified from the Pediatric Oncology Network Database and hospital admissions from the Oncology admissions logbook. Medical records and microbiology results were reviewed to identify all inpatient invasive infections. Distance from a child's home to the hospital was determined using ArcGIS 10.5.1. Infection rates were described in discrete time periods after diagnosis and risk factors for invasive infection were explored using Poisson regression. Results The cohort included 68 patients; 54 (79.4%) with acute lymphoblastic leukemia and 14 (20.6%) with acute myeloblastic leukemia. The cohort was 48.5% female, had a median age at diagnosis of 7.3 years (range 1.1–16.6), and a median weight-for-age of 45.5 percentile (range 0–99.9). There were 1.2 invasive infections per 100 days at risk in the first 60 days after diagnosis, 0.8 from > 60–100 days, and 0.4 from > 100–180 days. Gastroenteritis, skin/soft-tissue infection, and pneumonia were most frequent, with bacteremia most common in the first 60 days. In a multivariate Poisson regression model, age ≥10 years (IRR 0.49, 95% CI 0.28–0.85) and distance from the hospital >100 km (IRR 0.34, 95% CI 0.14 – 0.81) were each protective against infection in the first 180 days after diagnosis. During the 2-year period, 8 of 22 (36%) patient deaths were related to infection. Conclusion Invasive infections were common and a prominent source of death in this cohort. Interventions aimed at reducing infection should target the first 60 days after diagnosis. Decreased infection incidence among children of older age and farther distance from the hospital were unexpected and warrant further investigation. Disclosures All authors: No reported disclosures. [ABSTRACT FROM AUTHOR]

Equal access to clinical trial enrollment is important to ensure that findings are generalizable to the broader population. This study aimed to evaluate disparities in enrollment on pediatric oncology clinical trials. We assessed the relationship between patient characteristics and enrollment on COG trial AAML1031 in a cohort of pediatric patients with AML in the Pediatric Health Information System. The associations of enrollment with outcomes were evaluated. Non-Hispanic Black patients, infants, and patients from zip codes with a lower proportion of poverty were less likely to enroll (30% vs. 61%, p =.004; 34% vs. 58%, p =.003; 46% vs. 58%, p =.02). On-therapy mortality was similar among enrolled and nonenrolled patients (7.3% vs. 8.9%, p =.47). Differences in early mortality were more pronounced among nonenrolled patients compared to enrolled patients (3.0% vs. 0.5%, p =.03). Understanding the etiology of these disparities will inform strategies to ensure balanced access to clinical trials across patient populations. [ABSTRACT FROM AUTHOR]

Purpose: A cohort of pediatric patients with AML treated at hospitals contributing to the Pediatric Health Information System was used to evaluate differences in opioid utilization by sex, age, race, and insurance. Methods: Billing data were used to compute the prevalence of opioid exposure and to quantify rates of utilization among those exposed to opioids as days of use per 1000 inpatient days. Multivariable regressions were used to compare opioid prevalence, and rates of utilization among those exposed. Results: On average across courses, 95.2% of patients were exposed to analgesics, 84.7% were exposed to non-opioid analgesics and 77.7% were exposed to opioids. The proportion of opioid-exposed patients increased with age, but did not differ by gender, race, or insurance status. Analyses limited to patients exposed to opioids revealed modest differences in days of opioid use among female patients (adjusted rate ratio (aRR) = 1.19, 95% CI: 1.11, 1.28), patients <1 year (aRR = 1.37, 95% CI: 1.21, 1.55) or ≥10 years of age (aRR = 1.63, 95% CI: 1.46, 1.82), whereas Asian patients received fewer days of opioids compared with white patients (aRR = 0.76, 95% CI: 0.61, 0.95). There was moderate hospital-level variability in both the prevalence of opioid utilization overall and preference for specific opioid medications. There was greater inconsistency in practice concerning choices for supplemental and alternative opioids than in first-line opioid utilization. Conclusion: Additional work is needed to discern whether observed differences in opioid utilization by age and race reflect a difference in treatment or a difference in the experience of pain. Future studies should also explore the factors which guide decisions on opioid selections in an attempt to explain the variability across institutions. [ABSTRACT FROM AUTHOR]

Previous data suggest that patients enrolled on clinical trials for treatment of cancer have better overall survival than patients who do not enroll; however, short-term outcomes relative to trial enrollment and corresponding mediators have not been assessed. A cohort of pediatric patients with newly-diagnosed acute myeloid leukemia was assembled from the Pediatric Health Information System. We evaluated whether patients not enrolled onto Children's Oncology Group trial AAML0531 had greater intensive care unit ( ICU)-level requirements than enrolled patients and whether early discharge after chemotherapy administration mediated this association. Patients not enrolled on AAML0531 were more likely to be discharged early ( aOR = 1.40, 95% confidence interval [ CI]: 1.02, 1.90) and to require ICU-level care ( aOR = 2.00, 95% CI: 1.06, 3.78) than enrolled patients, but early discharge explained only a small proportion (12.3%) of the absolute difference in ICU-level care risk. The direct effect of nonenrollment on the need for ICU-level care was significant ( aOR = 1.89, 95% CI: 1.00, 3.94), whereas the indirect effect mediated through early discharge was not ( aOR = 1.07, 95% CI: 0.95, 1.19). Factors other than postchemotherapy discharge strategy drive the difference in ICU utilization by trial enrollment status. [ABSTRACT FROM AUTHOR]

While most children receive acute myeloid leukemia (AML) chemotherapy as inpatients, there is variability in timing of discharge after chemotherapy completion. This study compared treatment-related morbidity, mortality and cumulative hospitalization in children with AML who were discharged after chemotherapy completion (early discharge) and those who remained hospitalized. Chart abstraction data for 153 early discharge-eligible patients enrolled on a Children’s Oncology Group trial were compared by discharge strategy. Targeted toxicities included viridans group streptococcal (VGS) bacteremia, hypoxia and hypotension. Early discharge occurred in 11% of courses post-Induction I. Re-admission occurred in 80–100%, but median hospital stay was 7 days shorter. Patients discharged early had higher rates of VGS (adjusted risk ratio (aRR) = 1.67, 95% CI = 1.11–2.51), hypoxia (aRR = 1.92, 95% CI = 1.06–3.48) and hypotension (aRR = 4.36, 95% CI = 2.01–9.46), but there was no difference in mortality. As pressure increases to shorten hospitalizations, these results have important implications for determining discharge practices in pediatric AML. [ABSTRACT FROM AUTHOR]

Comparisons of early discharge and outpatient postchemotherapy supportive care in pediatric acute myeloid leukemia ( AML) patients are limited. We used data from the Pediatric Health Information System on a cohort of children treated for newly diagnosed AML to compare course-specific mortality and resource utilization in patients who were discharged after chemotherapy to outpatient management during neutropenia relative to patients who remained hospitalized. Patients were categorized at each course as early or standard discharge. Discharges within 3 days after chemotherapy completion were considered 'early'. Resource utilization was determined based on daily billing data and reported as days of use per 1000 hospital days. Inpatient mortality, occurrence of intensive care unit ( ICU)-level care, and duration of hospitalization were compared using logistic, log-binomial and linear regression methods, respectively. Poisson regression with inpatient days as offset was used to compare resource use by discharge status. The study population included 996 patients contributing 2358 treatment courses. Fewer patients were discharged early following Induction I (7%) than subsequent courses (22-24%). Across courses, patients discharged early experienced high readmission rates (69-84%), yet 9-12 fewer inpatient days (all P < 0.001). Inpatient mortality was low across courses and did not differ significantly by discharge status. The overall risk for ICU-level care was 116% higher for early compared to standard discharge patients (adjusted risk ratio: 2.16, 95% confidence interval: 1.50, 3.11). Rates of antibiotic, vasopressor, and supplemental oxygen use were consistently elevated for early discharge patients. Despite similar inpatient mortality to standard discharge patients, early discharge patients may be at greater risk for life-threatening chemotherapy-related complications, including infections. [ABSTRACT FROM AUTHOR]