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  • 1
    In: Psycho-Oncology, Wiley, Vol. 29, No. 1 ( 2020-01), p. 164-172
    Abstract: Despite cure, adolescents and young adults (AYA) who complete cancer treatment remain at risk for numerous physical and psychological late effects. However, engagement in recommended follow‐up care, knowledge of cancer treatment history and risks, and adoption of health promoting behaviors are often suboptimal. The pilot randomized controlled trial assessed the feasibility and acceptability of a text messaging intervention (THRIVE; T exting H ealth R esources to I nform, motiVate, and E ngage) designed to promote well‐being, and health knowledge and behaviors. Methods Sixty‐one AYA who recently completed cancer therapy enrolled and were randomized to receive THRIVE ( n = 31) or an AYA survivor handbook ( n = 30). Participants from both groups completed baseline measures and follow‐up surveys 16 weeks later. AYA randomized to THRIVE received one to two health‐related text messages per day over 16 weeks. Results THRIVE demonstrated a high level of acceptability and feasibility. Exploratory analyses highlighted promising improvements in knowledge, fruit/vegetable intake, and perceptions of health vulnerability. Conclusions Text messaging is an acceptable and feasible intervention approach for improving well‐being and health of AYA survivors. Future research is needed to test the impact of text messaging in a larger trial, including whether or not such an intervention can improve clinical outcomes, such as survivors' engagement in follow‐up care.
    Type of Medium: Online Resource
    ISSN: 1057-9249 , 1099-1611
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 1495115-0
    SSG: 5,2
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  • 2
    In: Pediatric Blood & Cancer, Wiley, Vol. 42, No. 3 ( 2004-03), p. 289-291
    Type of Medium: Online Resource
    ISSN: 1545-5009 , 1545-5017
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2004
    detail.hit.zdb_id: 2130978-4
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  • 3
    In: Pediatric Blood & Cancer, Wiley, Vol. 61, No. 5 ( 2014-05), p. 846-852
    Abstract: Deaths during induction chemotherapy for pediatric acute lymphoblastic leukemia (ALL) account for one‐tenth of ALL‐associated mortality and half of ALL treatment‐related mortality. We sought to ascertain patient‐ and hospital‐level factors associated with induction mortality. Procedure We performed a retrospective cohort analysis of 8,516 children ages 0 to 〈 19 years with newly diagnosed ALL admitted to freestanding US children's hospitals from 1999 to 2009 using the Pediatric Health Information System database. Induction mortality risk was modeled accounting for demographics, intensive care unit‐level interventions, and socioeconomic status (SES) using Cox regression. The association of ALL induction mortality with hospital‐level factors including volume, hospital‐wide mortality and payer mix was analyzed with multiple linear regression. Results ALL induction mortality was 1.12%. Race and patient‐level SES factors were not associated with induction mortality. Patients receiving both mechanical ventilation and vasoactive infusions experienced nearly 50% mortality (hazard ratio 122.30, 95% CI 66.56–224.80). Institutions in the highest induction mortality quartile contributed 27% of all patients but nearly half of all deaths (47 of 95). Hospital payer mix was associated with ALL induction mortality after adjustment for other hospital‐level factors ( P  = 0.046). Conclusions The overall risk of induction death is low but substantially increased in patients with cardio‐respiratory and other organ failures. Induction mortality varies up to three‐fold across hospitals and is correlated with hospital payer mix. Further work is needed to improve induction outcomes in hospitals with higher mortality. These data suggest an induction mortality rate of less than 1% may be an attainable national benchmark. Pediatr Blood Cancer 2014;61:846–852. © 2013 Wiley Periodicals, Inc.
    Type of Medium: Online Resource
    ISSN: 1545-5009 , 1545-5017
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2014
    detail.hit.zdb_id: 2130978-4
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  • 4
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 25, No. 9 ( 2007-03-20), p. 1054-1060
    Abstract: To evaluate the effect of disease sites and prior therapy on response and toxicity after iodine-131-metaiodobenzylguanidine ( 131 I-MIBG) treatment of patients with resistant neuroblastoma. Patients and Methods One hundred sixty-four patients with progressive, refractory or relapsed high-risk neuroblastoma, age 2 to 30 years, were treated in a limited institution phase II study. Patients with cryopreserved hematopoietic stem cells (n = 148) were treated with 18 mCi/kg of 131 I-MIBG. Those without hematopoietic stem cells (n = 16) received 12 mCi/kg. Patients were stratified according to prior myeloablative therapy and whether they had measurable soft tissue involvement or only bone and/or bone marrow disease. Results Hematologic toxicity was common, with 33% of patients receiving autologous hematopoietic stem cell support. Nonhematologic grade 3 or 4 toxicity was rare, with 5% of patients experiencing hepatic, 3.6% pulmonary, 10.9% infectious toxicity, and 9.7% with febrile neutropenia. The overall complete plus partial response rate was 36%. The response rate was significantly higher for patients with disease limited either to bone and bone marrow, or to soft tissue (compared with patients with both) for patients with fewer than three prior treatment regimens and for patients older than 12 years. The event-free survival (EFS) and overall survival (OS) times were significantly longer for patients achieving response, for those older than 12 years and with fewer than three prior treatment regimens. The OS was 49% at 1 year and 29% at 2 years; EFS was 18% at 1 year. Conclusion The high response rate and low nonhematologic toxicity with 131 I-MIBG suggest incorporation of this agent into initial multimodal therapy of neuroblastoma.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
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    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2007
    detail.hit.zdb_id: 2005181-5
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  • 5
    In: Pediatric Blood & Cancer, Wiley, Vol. 54, No. 1 ( 2010-01), p. 79-82
    Abstract: Community acquired influenza can be severe and there are few data regarding hospitalization for children with cancer and influenza. Association between prior vaccination and infection severity has not been studied, although vaccination is standard practice. Procedure Patients with malignancy or prior stem cell transplant (SCT) were identified using a database of children with laboratory confirmed influenza (2000–2005). Other data collected included receipt of vaccine, absolute neutrophil count (ANC) and absolute lymphocyte count (ALC). These were compared with intensive care unit (ICU) stay, respiratory complications and hospital days. Results There were 39 patients with laboratory‐confirmed influenza with a median age of 6.9 years. Twenty‐four (62%) were on cancer therapy at time of infection and 18 (46%) had received the influenza vaccination that season. Measures of immune status included ANC at time of infection (median 1,530 cells/µl; inter‐quartile range, 315, 4347), presence of graft versus host disease 2 (5%) and steroid therapy 4 (10%) patients. All had a low ALC (median 448 cells/µl; IQR 189, 861). Respiratory complications occurred in 8 (20%), ICU admissions in 4 (10%) and death in 2 (5%) patients. Median hospital stay was 2 days. All ICU admissions occurred in unvaccinated patients ( P  = 0.1). Vaccine status, ANC ( 〈 1,000 cells/µl vs. 〉 1,000) and ALC ( 〈 500 cells/µl vs. 〉 500) were not associated with length of stay or respiratory complications. Conclusions Influenza infection can be severe in children with cancer and complications occur despite vaccination. Prospective evaluation of vaccine response is worthy of future study. Pediatr Blood Cancer 2010; 54:79–82. © 2009 Wiley‐Liss, Inc.
    Type of Medium: Online Resource
    ISSN: 1545-5009 , 1545-5017
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2010
    detail.hit.zdb_id: 2130978-4
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  • 6
    Online Resource
    Online Resource
    Wiley ; 2022
    In:  Pediatric Blood & Cancer Vol. 69, No. 4 ( 2022-04)
    In: Pediatric Blood & Cancer, Wiley, Vol. 69, No. 4 ( 2022-04)
    Abstract: While treatment protocols for Hodgkin lymphoma (HL) are well established, there is no literature available to guide therapy or estimate prognosis for patients with Fontan physiology who develop HL. The physiology of a Fontan procedure can result in the inability to tolerate chemotherapy toxicities, supportive care, and infection. We present a series of three patients with Fontan physiology who were treated for HL and discuss their clinical course and treatment.
    Type of Medium: Online Resource
    ISSN: 1545-5009 , 1545-5017
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2130978-4
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  • 7
    In: Journal of Adolescent and Young Adult Oncology, Mary Ann Liebert Inc, Vol. 9, No. 6 ( 2020-12-01), p. 651-661
    Type of Medium: Online Resource
    ISSN: 2156-5333 , 2156-535X
    Language: English
    Publisher: Mary Ann Liebert Inc
    Publication Date: 2020
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  • 8
    In: Blood, American Society of Hematology, Vol. 116, No. 21 ( 2010-11-19), p. 3239-3239
    Abstract: Abstract 3239 We sought to define factors identifying children at increased risk for mortality during the induction phase of chemotherapy for ALL. We identified a cohort of 11,145 pediatric patients with newly diagnosed ALL using PHIS data from 1999–2009. The PHIS database contains de-identified records of all admissions from 42 children's hospitals across the United States, representing 85% of pediatric admissions to freestanding children's hospitals. Data are internally validated by PHIS, and participating hospitals must have an error rate of 〈 2%. Patients were further validated by manual comparison of induction chemotherapy to published ALL induction standards. Information included in the database are patient demographics, ICD-9 codes, and resource utilization codes for pharmacy, radiology and other procedures. Our strategy to identify newly diagnosed ALL patients included all patients from birth to age 18.99 years with an ICD-9 code for ALL (204.xx) who received one of a series of 3- or 4-drug induction chemotherapy regimens based on standard practices for the era studied. Data were analyzed from the first 30 days after initial admission for ALL. Table 1 shows demographic characteristics, as well as clinical characteristics hypothesized to predict increased mortality. There were 172 patients who died during the study period (1.54%; Table 2). Age 〈 1 year was associated with markedly increased mortality compared to ages 1–9.99 years; patients ages 10–18.99 also had increased mortality. Sex, race and Hispanic ethnicity were not predictive of mortality. We hypothesized that Down syndrome, anthracycline exposure and dexamethasone exposure would be risk factors; however, none of these exposures significantly predicted increased mortality compared to patients without these exposures. Certain interventions were strong predictors of mortality, such as intubation, use of pressors, intubation with concomitant pressors, extracorporeal membrane oxygenation (ECMO), and hemodialysis (Table 2). We tabulated the frequency of ICD-9 codes during the admission in which mortality was observed. The most commonly associated diagnoses were: respiratory failure, acidosis, aplastic anemia, pleural effusion, hemorrhagic stroke, renal failure, sepsis, coagulopathy, complications of a vascular device, hyponatremia, hypotension/shock, pneumonia, and seizure. We are in the process of further analyzing these diagnostic codes for prediction of mortality risk. In summary, we present the largest published dataset of induction mortality in pediatric ALL. Additionally, this is the first use of a nationally representative pediatric ALL dataset that includes patients irrespective of clinical trial enrollment. We are currently performing multivariate analyses using ICD-9 discharge, procedure and utilization codes to define risk factors for induction mortality. Using these analyses, we will develop a model that may allow practitioners to intervene against poor outcomes in high-risk patients. Finally, these data can provide national benchmarks for ALL induction mortality and complication rates that will be critically important in this era of increasing emphasis on patient safety. Table 1: Demographic characteristics of PHIS ALL cohort, 1999–2009 Patient characteristic N (%) Age at diagnosis, median 5.7 years      〈 1 year 410 (3.68)     1-9.99 years 7543 (67.68)     10-18.99 years 3192 (28.64) Female 4835 (43.38) Race     Caucasian 8430 (75.66)     African American 938 (8.42)     Asian/Pacific Islander 327 (2.93)     Native American 78 (0.70)     Other/unknown 808 (7.25)     Missing 562 (5.04) Hispanic ethnicity 2376 (21.32) Down syndrome 304 (2.73) Anthracycline exposure 4645 (41.68) Dexamethasone exposure 5393 (48.39) Hospitalization data Mean ± SD Median (range) Duration of 1st admission 13.31 ± 14.82 9 (1-283) Number of hospitalizations in 1st 30 days 1.35 ± 0.59 1 (1-5) Table 2: Risk of mortality by demographics and need for intervention Risk factor Mortality rate, N (%) RR (95% CI) Overall 172 (1.54) – Age at diagnosis      〈 1 year 23 (5.61) 7.17 (4.48, 11.49)     1-9.99 years 59 (0.78) 1.0     10-18.99 years 90 (2.82) 3.61 (2.60, 4.99) Any Intubation     Yes 99 (26.68) 39.38 (29.64, 52.32)     No 73 (0.68) 1.0 Pressors     Yes 74 (16.34) 17.82 (13.38, 23.74)     No 98 (0.92) 1.0 Any Intubation + pressors     Yes 60 (45.11) 44.36 (34.10, 57.69)     No 112 (1.02) 1.0 ECMO     Yes 6 (75.00) 50.32 (32.81, 77.17)     No 166 (1.49) 1.0 Hemodialysis     Yes 29 (15.59) 11.95 (8.24, 17.33)     No 143 (1.30) 1.0 Disclosures: No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2010
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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  • 9
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2013
    In:  Journal of Pediatric Hematology/Oncology Vol. 35, No. 1 ( 2013-01), p. 46-53
    In: Journal of Pediatric Hematology/Oncology, Ovid Technologies (Wolters Kluwer Health), Vol. 35, No. 1 ( 2013-01), p. 46-53
    Type of Medium: Online Resource
    ISSN: 1077-4114
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2013
    detail.hit.zdb_id: 2047125-7
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  • 10
    Online Resource
    Online Resource
    Elsevier BV ; 2007
    In:  Pediatric Clinics of North America Vol. 54, No. 5 ( 2007-10), p. 691-708
    In: Pediatric Clinics of North America, Elsevier BV, Vol. 54, No. 5 ( 2007-10), p. 691-708
    Type of Medium: Online Resource
    ISSN: 0031-3955
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2007
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