Features associated with malnutrition are poorly elucidated in pediatric cancer care. We aimed to better understand characteristics associated with weight-for-height (WHZ) and height-for-age (HAZ) changes for infants and young children during cancer treatment. This retrospective study included 434 patients diagnosed <3 years old from 2007 to 2015 at a large pediatric cancer center. Patients starting treatment outside our center, those with relapsed or secondary malignancies, or with inaccurate information were excluded. Abstracted weights and heights for a 24-month period after treatment initiation were converted to sex-specific and age-specific z scores. Although not statistically different at baseline, patients with hematologic malignancies gained weight over time, while other tumor types did not. Higher treatment intensity and younger age at diagnosis increased odds of clinically significant weight loss. Older children had higher HAZ at diagnosis and HAZ also significantly decreased over time for all examined risk factors, which is distinctly different from patterns in WHZ over time. In conclusion, WHZ and HAZ are affected differently by cancer treatment in infants and young children. We identify key risk factors for weight loss and growth stunting which will be necessary to develop prospective trials to examine anthropometric, biochemical, and patient recorded outcomes around nutrition.

Background: Loss of fertility has been reported as an important concern of reproductive age women diagnosed with cancer. The Furthering Understanding of Cancer, Health, and Survivorship In Adult (FUCHSIA) Women's Study examines how cancer treatment affects the fertility of cancer survivors who were diagnosed during their reproductive years. In this paper we discuss the process of developing and pilot testing the FUCHSIA computer assisted telephone interview (CATI). Methods: The CATI was developed in several phases and pilot tested twice to evaluate several aspects of the instrument including question sequencing, understandability of the questions, and women's comfort with certain questions. Participants were recruited from cancer and infertility support groups and study team contacts. Results: Fifty-two women were recruited and participated in the first pilot. The participants had a mean age of 31.5 years, 17.3% had cancer, and 38.5% experienced a period of infertility. Twenty-four women participated in the second pilot with similar representation. Conclusions: The collection of detailed information on reproductive outcomes with the CATI may improve the understanding of how cancer treatment during the reproductive years affects female fertility. The pilot studies provided important information to improve the CATI before the full study. Our comprehensive recruitment strategy allowed us to interview a diverse group of women to ensure that questions and answer choices were easily interpreted, check complicated skip patterns and the flow of questions, and evaluate the length of the interview. This experience can be used to help inform others in what steps can be useful for developing telephone interviews for research studies.

Introduction Female cancer survivors who received gonadotoxic cancer treatment are at risk for profound diminished ovarian reserve and/or primary ovarian insufficiency with resulting infertility, which can be associated with distress and decreased quality of life.. Despite prioritizing future parenthood, many survivors are unsure of the impact of their treatment on their future fertility, and little is known about the perceived reproductive health needs and factors associated with receipt of a fertility status assessment (FSA). There is a lack of developmentally appropriate reproductive health decisional support interventions available for emerging adult cancer survivors. This study will explore the perceived reproductive health needs of emerging adult female survivors of childhood cancer and to identify decisional and contextual factors that influence pursuit of FSA using an explanatory sequential quantitative to qualitative mixed methods design. Methods and analysis This study will enroll 325 female survivors (aged 18 to 29 years and >1-year post treatment; diagnosed with cancer < age 21 years) from four cancer centers in the United States. Sociodemographic and developmental factors, reproductive knowledge and values, decisional needs, and receipt of an FSA will be assessed through a web-based survey. Informed by survey findings, a subset of participants will be recruited for qualitative interviews to explore decisional factors associated with uptake of an FSA. Clinical data will be abstracted from the medical records. Multivariable logistic regression models will be developed to identify factors associated with FSA and qualitative descriptive analysis will be used to develop themes from the interviews. Quantitative and qualitative findings will be merged using a joint display to develop integrated study conclusions and direct future interventional research.

Purpose: Pediatric healthcare systems must support childhood cancer survivors to optimize their transition to adult care. This study aimed to assess the state of healthcare transition services provided by Children’s Oncology Group (COG) institutions. Methods: A 190-question online survey was distributed to 209 COG institutions to assess survivor services, including transition practices, barriers, and implementation of services aligned with the six core elements of Health Care Transition 2.0 from the US Center for Health Care Transition Improvement. Results: Representatives from 137 COG sites reported on institutional transition practices. Two-thirds (66.4%) of site discharge survivors to another institution for cancer-related follow-up care in adulthood. Transfer to primary care (33.6%) was a commonly reported model of care for young adult-aged survivors. Site transfer at ≤ 18 years (8.0%), ≤ 21 years (13.1%), ≤ 25 years (7.3%), ≥ 26 years (12.4%), or when survivors are "ready" (25.5%). Few institutions reported offering services aligned with the structured transition process from the six core elements (Median = 1, Mean = 1.56, SD = 1.54, range: 0–5). The most prevalent barriers to transitioning survivors to adult care were perceived lack of late-effects knowledge among clinicians (39.6%) and perceived lack of survivor desire to transfer care (31.9%). Conclusions: Most COG institutions transfer adult-aged survivors of childhood cancer elsewhere for survivor care, yet few programs report delivering recognized standards for quality healthcare transition programming to support survivors. Implications for Cancer Survivors: Development of best practices for survivor transition is needed to help promote increased early detection and treatment of late effects among adult survivors of childhood cancer.

Background: Population-based cancer registries provide a resource to recruit young adult cancer survivors who may not be easily identified otherwise. Methods: We compared demographic and cancer-related characteristics of participants in a cohort of female young adult cancer survivors to those of eligible survivors in the Georgia Cancer Registry, a population-based registry in the United States. We examined associations between survivor characteristics and nonparticipation using logistic regression and associations between survivor characteristics and different types of nonparticipation (refusal, unable to contact, or unresolved vs. interviewed) using polytomous regression. Results: The Georgia Cancer Registry was able to contact 60% of eligible women (3,061/5,137). Of those, 78% agreed to study contact (n = 2,378), and of those, 56% were interviewed (n = 1,342). Participation was similar across age at contact and at diagnosis but varied across cancer type from 17% for cervical cancer to 32% for breast cancer. White women were slightly more likely to be interviewed (28%) than African American women (23%), which was mostly attributable to greater difficulty in contacting African American women (odds ratio 1.7, 95% confidence interval: 1.5-2.1). Conclusions: The greatest challenge to recruiting women was contacting them, which differed across some but not all demographic and cancer-related characteristics. When successfully contacted, most survivors agreed to participate. Impact: Population-based cancer registries can serve as an invaluable resource to recruit representative samples of young adult cancer survivors, who are otherwise difficult to identify.

Background: Various measures and definitions for undernutrition are used in pediatrics. Younger children treated for cancer are at high risk, but lack well-defined risk-based screening and intervention. Methods: A retrospective study collected weight longitudinally for patients less than three years-old over two years after initiating cancer treatment. We included those diagnosed 2007–2015 at a large pediatric cancer center. Exclusion criteria included treatment starting outside our system, secondary or relapsed malignancy, or incomplete information. A decrease ≥1 in weight-for-age or weight-for-height z-score signified clinically significant weight loss. Univariate and multivariate models assessed hazards for developing first episode of clinically significant weight loss. Results: Of 372 patients, only 24.6% of patients lost 10% of weight, but 58.6% lost weight-for-age z-score ≥1 and 64.8% lost ≥1 weight-for-height z-score within two years of treatment initiation. Patients who lost weight were younger (median age 15 vs. 24 months, p < 0.001). Compared to patients diagnosed in the first year of life, those diagnosed 24–35 months were less likely to lose weight (HR 0.62, p < 0.001) and lost weight later (median time to weight loss 144 vs. 35 days). Higher treatment intensity increased weight loss risk (HR 2.30, p < 0.001) and decreased time to weight loss (35 vs. 154 days). No differences were found based on sex, diagnosis, enteral or parenteral nutrition, gastroenterology consults, or intensive care admissions. Conclusions: Using normalized z-scores is more sensitive for identifying weight loss. Younger children are more likely to lose weight with higher intensity cancer therapy. Patient and treatment specific information should be used in risk stratifying weight loss screening and nutritional interventions.

It is unclear whether cancer and its treatments increase the risk of adverse pregnancy outcomes. Our aim was to examine whether cancer survivors have higher risks of poor outcomes in pregnancies conceived after diagnosis than women without cancer, and whether these risks differ by cancer type and race. Diagnoses from cancer registries were linked to pregnancy outcomes from birth certificates in three U.S. states. Analyses were limited to the first, live singleton birth conceived after diagnosis. Births to women without a previous cancer diagnosis in the registry were matched to cancer survivors on age at delivery, parity, race/ethnicity and education. Log-binomial regression was used to estimate risk ratios. Cervical cancer survivors had higher risks of preterm birth (Risk ratio = 2.8, 95% Confidence interval: 2.1, 3.7), as did survivors of invasive breast cancer (RR = 1.3, 95% CI: 1.1, 1.7) and leukemia (RR = 2.1, 95% CI: 1.3, 3.5). We observed a higher risk of small for gestational age (SGA) infants (<10% of weight for age based on a national distribution) in survivors of brain cancer (RR = 1.7, 95% CI: 1.1, 2.8) and extranodal non-Hodgkin lymphoma (RR = 2.3, 95% CI: 1.5, 3.6). We did not see an increased risk of infants born preterm, low birth weight, or SGA in pregnancies conceived after ductal carcinoma in situ, thyroid cancer, melanoma, or Hodgkin lymphoma. While our results are reassuring for survivors of many cancers, some will need closer monitoring during pregnancy.

Despite advances toward universal health insurance coverage for children, coverage gaps remain. Using a nationwide sample of pediatric and adolescent cancer patients from the National Cancer Database, we examined effects of the Affordable Care Act (ACA) implementation in 2014 with multinomial logistic regressions to evaluate insurance changes between 2010-2013 (pre-ACA) and 2014-2017 (post-ACA) in patients aged younger than 18 years (n = 63 377). All statistical tests were 2-sided. Following the ACA, the overall percentage of Medicaid and Children's Health Insurance Program-covered patients increased (from 35.1% to 36.9%; adjusted absolute percentage change [APC] = 2.01 percentage points [ppt], 95% confidence interval [CI] = 1.31 to 2.71; P < .001), partly offset by declined percentage of privately insured (from 62.7% to 61.2%; adjusted APC = -1.67 ppt, 95% CI = -2.37 to -0.97; P < .001), leading to a reduction by 15% in uninsured status (from 2.2% to 1.9%; adjusted APC = -0.34 ppt, 95% CI = -0.56 to -0.12 ppt; P = .003). The largest declines in uninsured status were observed among Hispanic patients (by 23%; adjusted APC = -0.95 ppt, 95% CI = -1.67 to -0.23 ppt; P = .009) and patients residing in low-income areas (by 35%; adjusted APC = -1.22 ppt, 95% CI = -2.22 to -0.21 ppt; P = .02). We showed nationwide insurance gains among pediatric and adolescent cancer patients following ACA implementation, with greater gains in racial and ethnic minorities and those living in low-income areas.

Background: Basal cell carcinoma (BCC) is the most common malignancy in the United States. Ionizing radiation is an established risk factor in certain populations, including cancer survivors. We quantified the association between ionizing radiation dose and the risk of BCC in childhood cancer survivors. Methods: Participants in the Childhood Cancer Survivor Study who reported a BCC (case subjects, n = 199) were matched on age and length of follow-up to three study participants who had not developed a BCC (control subjects, n = 597). The radiation-absorbed dose (in Gy) to the BCC location was calculated based on individual radiotherapy records using a custom-designed dosimetry program. Conditional logistic regression was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) for associations between demographic and treatment factors, therapeutic radiation dose, and surrogate markers of sun sensitivity (skin and hair color) and the risk of BCC. A linear dose–response model was fitted to evaluate the excess odds ratio per Gy of radiation dose. Results: Among case subjects, 83% developed BCC between the ages of 20 and 39 years. Radiation therapy, either alone or in combination with chemotherapy, was associated with an increased risk of BCC compared with no chemotherapy or radiation. The odds ratio for subjects who received 35 Gy or more to the skin site vs no radiation therapy was 39.8 (95% CI = 8.6 to 185). Results were consistent with a linear dose–response relationship, with an excess odds ratio per Gy of 1.09 (95% CI = 0.49 to 2.64). No other treatment variables were statistically significantly associated with an increased risk of BCC. Conclusions: Radiation doses to the skin of more than 1 Gy are associated with an increased risk of BCC.

Purpose The purpose of this study is to describe current survivor services provided by COG institutions. Methods A 190-question online survey was distributed to 209 COG member institutions over a 5-month period in 2017. Descriptive statistics were used to describe survivor services and explore their changes between 2007 and 2017. Results Representatives from 153 (73%) institutions completed the survey. Of these, 96% of institutions reported that they provide pediatric cancer survivor care either in a specialized late effects program (75%) or a regular pediatric oncology clinic (24%). However, only 29.8% of institutions reported that > 75% of eligible patients were seen in a survivorship clinic. The most prevalent reported barriers to survivor care were lack of dedicated time (58%) and lack of funding for program development (41%). In 2017, 88% of institutions provided a treatment summary compared to 31% in 2007. Conclusion The majority of COG institutions have dedicated care for pediatric and young adult survivors of childhood cancer; however, at most institutions, < 75% of eligible patients access this care. Research into more efficient technology strategies is needed to ensure all survivors the opportunity to receive appropriate follow-up care. Implications for Cancer Survivors This survey provides a snapshot of the status of late effects services within COG institutions and provides information on residual gaps in services. Next steps should focus on the importance of attendance in a survivorship clinic on the physical health and psychosocial outcomes in cancer survivors.