The development of fatigue after treatment for pediatric brain tumors does not differ between tumor locations.

BACKGROUND: Children and adolescents treated for a brain tumor suffer from more fatigue than survivors of other types of childhood cancer. As tumor location might be predictive of fatigue, our aim was to investigate the longitudinal development of fatigue in children with brain tumors and risk factors for fatigue separately for different tumor locations. METHODS: Fatigue was assessed 1235 times for 425 participants. Self-report versions of PedsQL Multidimensional Fatigue Scale were used to repeatedly assess fatigue from the end of treatment up to 8 years later. Mixed models were used to analyze fatigue over time and determinants separately for infratentorial (N = 205), supratentorial hemispheric (N = 91), and supratentorial midline tumors (N = 129). RESULTS: Cognitive fatigue worsened with time, while sleep-rest and general fatigue first decreased and then increased. There was no difference in fatigue between the tumor locations, but the risk factors differed when stratified by location. Radiotherapy was associated with more fatigue for infratentorial tumors, and centralization of care was associated with less fatigue for the supratentorial midline tumors. For supratentorial hemispheric tumors, female sex was associated with more fatigue. Higher parental education was associated with less fatigue regardless of tumor location. CONCLUSIONS: The development of fatigue seems to be more related to sociodemographic and treatment variables than to tumor location. Healthcare providers need to be aware that fatigue may develop in the years following end of treatment, and that patients with a low/middle educational family background might be more vulnerable and in need of targeted support.

Leptin Increase During Dexamethasone and Its Association With Hunger and Fat in Pediatric Acute Lymphoblastic Leukemia.

CONTEXT: During treatment, children with acute lymphoblastic leukemia (ALL) receive high doses dexamethasone, which induce acute side effects. OBJECTIVE: To determine the influence of a 5-day dexamethasone course on changes in leptin, fat mass, BMI, hunger, sleep, and fatigue and to explore associations between these changes. METHODS: Pediatric ALL patients were included during maintenance treatment. Data were collected before (T1) and after (T2) a 5-day dexamethasone course (6 mg/m2/day). At both time points, BMI, fat mass (bioelectrical impedance analysis), and leptin were assessed, as well as parent-reported questionnaires regarding hunger, fatigue, and sleep problems. Changes between T1 and T2 were assessed using paired tests. Correlation coefficients were calculated to assess associations between these changes (Delta scores: T2-T1). Univariable regression models were estimated to study associations between covariates and elevated leptin. RESULTS: We included 105 children, with median age 5.4 years (range, 3.0-18.8). Leptin and fat mass, as well as hunger scores, fatigue, and sleep deteriorated after 5 days of dexamethasone (P < .001), in contrast to BMI (P = .12). No correlations between delta leptin and delta fat mass, BMI, hunger, fatigue, or sleep were found. Elevated leptin on T1 was associated with older age (odds ratio [OR] 1.51; 95% CI, 1.28-1.77), higher fat mass (OR 1.19; 95% CI, 1.07-1.33), and earlier maintenance week (OR 0.96; 95% CI, 0.92-0.99). CONCLUSION: Five days of high-dose dexamethasone treatment led to direct and significant changes in leptin, hunger scores, and fat mass. Since children with ALL are at increased risk for metabolic adverse events, understanding underlying mechanisms is important, and a dexamethasone-induced state of acute leptin resistance might play a role.

Physical frailty deteriorates after a 5-day dexamethasone course in children with acute lymphoblastic leukemia, results of a national prospective study.

BACKGROUND: Dexamethasone is important in the treatment for pediatric acute lymphoblastic leukemia (ALL) but induces muscle atrophy with negative consequences for muscle mass, muscle strength, and functional abilities. The aim of this study was to establish the effect of a dexamethasone course on sarcopenia and physical frailty in children with ALL, and to explore prognostic factors. METHODS: Patients with ALL aged 3-18 years were included during maintenance therapy. Patients had a sarcopenia/frailty assessment on the first day of (T1) and on the day after (T2) a 5-day dexamethasone course. Sarcopenia was defined as low muscle strength in combination with low muscle mass. Prefrailty and frailty were defined as having two or ≥three of the following components, respectively: low muscle mass, low muscle strength, fatigue, slow walking speed, and low physical activity. Chi-squared and paired t-tests were used to assess differences between T1 and T2. Logistic regression models were estimated to explore patient- and therapy-related prognostic factors for frailty on T2. RESULTS: We included 105 patients, 61% were boys. Median age was 5.3 years (range: 3-18.8). At T1, sarcopenia, prefrailty, and frailty were observed in respectively 2.8%, 23.5%, and 4.2% of patients. At T2, the amount of patients with frailty had increased to 17.7% (p = 0.002), whereas the number of patients with sarcopenia and prefrailty remained similar. Higher ASMM (odds ratio [OR]: 0.49, 95% CI: 0.28-0.83), stronger handgrip strength (OR: 0.41, 95% CI: 0.22-0.77) and more physical activity minutes per day (OR: 0.98, 95% CI: 0.96-0.99) decreased the risk of frailty at T2. Slower walking performance (OR: 2, 95% CI: 1.2-3.39) increased the risk. Fatigue levels at T1 were not associated with frailty at T2. CONCLUSION: Physical frailty increased strikingly after a 5-days dexamethasone course in children with ALL. Children with poor physical state at start of the dexamethasone course were more likely to be frail after the course.

Health-related quality of life and its determinants during and after treatment for paediatric acute lymphoblastic leukaemia: a national, prospective, longitudinal study in the Netherlands.

OBJECTIVES: Health-related quality of life (HRQoL) is impaired in paediatric patients with acute lymphoblastic leukaemia (ALL). Over the past decades, ALL treatment has successfully been adjusted to the risk of relapse, which is now reflected by the stratification of patients into three risk groups who receive treatment of differing intensities. This study is the first to evaluate the longitudinal course of HRQoL in light of these adjustments and identify determinants of HRQoL. DESIGN: Two prospective, national cohort studies (add-on studies within the two most recent treatment protocols for children with ALL (ALL-10 and ALL-11)). SETTING: Dutch paediatric oncology hospitals between October 2006 and October 2009 (ALL-10) and between August 2013 and July 2017 (ALL-11). PARTICIPANTS: Patients with ALL (2-18 years) are treated according to the ALL-10 or ALL-11 treatment protocol. Patients treated according to the ALL-10 protocol only completed a cancer-specific QoL measure and patients treated according to the ALL-11 protocol completed both a cancer-specific and generic QoL measure (see below). OUTCOME MEASURES: HRQoL, assessed with parent-proxy questionnaires (PedsQL Generic and Cancer module) within the first 5 months (T0), at 1 year (T1), 2 years (T2) and 3 years (T3) after diagnosis. The proportion of patients with clinically relevant generic HRQoL impairment was compared with healthy norm values. Multivariable mixed model analyses were used to evaluate the development of HRQoL over time and its medical and sociodemographic determinants (collected on enrolment). RESULTS: Of the ALL-10 cohort, 132 families participated and of the ALL-11 cohort, 136 families participated (268 total). Thus, cancer-specific HRQoL assessments were available for 268 patients (median age 5.3 years (IQR 6.15), 56.0% boys, 69.0% medium-risk ALL), and generic HRQoL assessments for 136 patients (median age 4.8 years (IQR 6.13), 60.3% boys, 75.0% medium-risk ALL). Generic HRQoL improved between timepoints T0 and T3 (total score B 16.1, 95% CI 12.2 to 20.1, p<0.001), but did not restore to normal 1 year after the end of treatment: 28.0% of children remained impaired compared with 16% in the general population (p=0.003). Cancer-specific HRQoL generally improved from T0 to T2 (Pain B 11.3, 95% CI 7.1 to 15.5; Nausea B 11.7, 8.4 to 15.1; Procedural Anxiety B 19.1, 14.8 to 23.4; Treatment Anxiety B 12.8, 9.5 to 16.0; Worry B 3.5, 0.6 to 6.3; Communication B 8.5, 5.0 to 11.9; all p<0.001 except for Worry (p=0.02)), while Physical Appearance and Cognitive Functioning remained stable. Higher treatment intensity and experiencing pain or simultaneous chronic illness were associated with lower HRQoL over time for multiple subscales. CONCLUSIONS: HRQoL impairment is prevalent during and after ALL treatment. Patients with standard-risk ALL and reduced treatment intensity have better HRQoL than patients in higher risk groups. Systematic monitoring of HRQoL is of utmost importance in order to provide timely psychosocial interventions and supportive care.

The course of health-related quality of life after the diagnosis of childhood cancer: a national cohort study.

BACKGROUND: Comprehensive insight in the longitudinal development of health-related quality of life (HRQOL) after childhood cancer diagnosis could improve quality of care. Thus, we aimed to study the course and biopsychosocial determinants of HRQOL in a unique national cohort of children with cancer. METHODS: HRQOL of 2154 children with cancer was longitudinally reported (median: 3 reports) between diagnosis and 5 years after, using the pediatric quality of life inventory generic core scales (PedsQL). HRQOL was modelled over time since diagnosis using mixed model analysis for children 2-7 years (caregiver-reports) and ≥ 8 years (self-reports). Differences in the course between hematological, solid and central nervous system malignancies were studied. Additional associations of demographics, disease characteristics (age at diagnosis, relapse, diagnosis after the national centralization of childhood cancer care and treatment components) and caregiver distress (Distress thermometer) were studied. RESULTS: Overall, HRQOL improved with time since diagnosis, mostly in the first years. The course of HRQOL differed between diagnostic groups. In children aged 2-7 years, children with a solid tumor had most favorable HRQOL. In children aged ≥ 8 years, those with a hematological malignancy had lower HRQOL around diagnosis, but stronger improvement over time than the other diagnostic groups. In both age-groups, the course of HRQOL of children with a CNS tumor showed little or no improvement. Small to moderate associations (ß: 0.18 to 0.67, p < 0.05) with disease characteristics were found. Centralized care related to better HRQOL (ß: 0.25 to 0.44, p < 0.05). Caregiver distress was most consistently associated with worse HRQOL (ß: - 0.13 to - 0.48, p < 0.01). CONCLUSIONS: The HRQOL course presented can aid in identifying children who have not fully recovered their HRQOL following cancer diagnosis, enabling early recognition of the issue. Future research should focus on ways to support children, especially those with a CNS tumor, for example by decreasing distress in their caregivers.

Fatigue mediates the relationship between emotional and cognitive functioning in children post-cancer treatment.

BACKGROUND/OBJECTIVES: Children treated for cancer are at risk to develop cognitive problems. Insight in underlying associations with emotional functioning and fatigue can be used to optimize interventions. We therefore aim to study emotional functioning, fatigue, and cognitive functioning in children postcancer treatment and investigate whether fatigue mediates the relationship between emotional and cognitive functioning. DESIGN/METHODS: Emotional functioning, fatigue, and cognitive functioning were assessed in children post-cancer treatment using subscales of the Pediatric Quality of Life Inventory (PedsQL) Generic Core Scales, Multidimensional Fatigue Scale and Cognitive Functioning Scale. A one sample t-test was used to compare outcomes with general population peers and mediation analysis was used to address the effect of fatigue on the relationship between emotional and cognitive functioning. RESULTS: A total of 137 children (mean age: 13.6, SD ± 3.3 years; mean time since end of treatment: 7.1 months, SD ± 5.9) participated. Lower scores on emotional functioning (Cohen's d [D]: 0.4), fatigue (D: 0.8) and cognitive functioning (D: 0.6) were found (p < .001) in children post-cancer treatment than in peers. A medium association was found between emotional and cognitive functioning (standardized regression coefficient [ß]: 0.27, p < .001), which was mediated by fatigue (ß = 0.16). CONCLUSIONS: Outcomes on emotional and cognitive functioning are decreased and fatigue is increased in children postcancer treatment. Fatigue mediates the relationship between emotional and cognitive functioning. Our results show the importance to focus on fatigue amongst stress as a target for intervention to improve cognitive functioning.

Unraveling Dexamethasone-Induced Neurobehavioral and Sleep Problems in Children With ALL: Which Determinants Are Important?

PURPOSE: Dexamethasone, the preferred corticosteroid in most treatment protocols for pediatric acute lymphoblastic leukemia (ALL), can induce undesirable side effects. Neurobehavioral and sleep problems are frequently reported, but the interpatient variability is high. We therefore aimed to identify determinants for parent-reported dexamethasone-induced neurobehavioral and sleep problems in pediatric ALL. METHODS: Our prospective study included patients with medium-risk ALL and their parents during maintenance treatment. Patients were assessed before and after one 5-day dexamethasone course. Primary end points were parent-reported dexamethasone-induced neurobehavioral and sleep problems, measured with the Strengths and Difficulties Questionnaire and Sleep Disturbance Scale for Children, respectively. Analyzed determinants included patient and parent demographics, disease and treatment characteristics, parenting stress (Parenting Stress Index and Distress Thermometer for Parents), dexamethasone pharmacokinetics, and genetic variation (candidate single-nucleotide polymorphisms rs41423247 and rs4918). Statistically significant determinants identified in univariable logistic regression analyses were incorporated in a multivariable model. RESULTS: We included 105 patients: median age was 5.4 years (range, 3.0-18.8) and 61% were boys. Clinically relevant dexamethasone-induced neurobehavioral and sleep problems were reported by parents in 70 (67%) and 61 (59%) patients, respectively. In our multivariable regression models, we identified parenting stress as a significant determinant for parent-reported neurobehavioral (odds ratio [OR], 1.16; 95% CI, 1.07 to 1.26) and sleep problems (OR, 1.06; 95% CI, 1.02 to 1.10). Furthermore, parents who experienced more stress before start of a dexamethasone course reported more sleep problems in their child (OR, 1.16; 95% CI, 1.02 to 1.32). CONCLUSION: We identified parenting stress, and not dexamethasone pharmacokinetics, genetic variation, patient/parent demographics, or disease/treatment characteristics, as a significant determinant for parent-reported dexamethasone-induced neurobehavioral and sleep problems. Parenting stress may be a modifiable target to reduce these problems.

Hydrocortisone to reduce dexamethasone-induced neurobehavioral side-effects in children with acute lymphoblastic leukaemia-results of a double-blind, randomised controlled trial with cross-over design.

BACKGROUND: Dexamethasone is a cornerstone of paediatric acute lymphoblastic leukaemia (ALL) treatment, although it can induce serious side-effects. Our previous study suggests that children who suffer most from neurobehavioural side-effects might benefit from physiological hydrocortisone in addition to dexamethasone treatment. This study aimed to validate this finding. METHODS: Our phase three, double-blind, randomised controlled trial with cross-over design included ALL patients (3-18 years) during medium-risk maintenance therapy in a national tertiary hospital between 17th May 2018 and 5th August 2020. A baseline measurement before and after a 5-day dexamethasone course was performed, whereafter 52 patients with clinically relevant neurobehavioural problems were randomised to receive an intervention during four subsequent dexamethasone courses. The intervention consisted of two courses hydrocortisone (physiological dose 10 mg/m2/d in circadian rhythm), followed by two courses placebo, or vice versa. Neurobehavioural problems were assessed before and after each course using the parent-reported Strengths and Difficulties Questionnaire (SDQ) as primary end-point. Secondary end-points were sleep problems, health-related quality of life (HRQoL), hunger feeling, and parental stress, measured with questionnaires and actigraphy. A generalised mixed model was estimated to study the intervention effect. RESULTS: The median age was 5.5 years (range 3.0-18.8) and 61.5% were boys. The SDQ filled in by 51 primary caregivers showed no difference between hydrocortisone and placebo in reducing dexamethasone-induced neurobehavioral problems (estimated effect -2.05 (95% confidence interval (CI) -6.00-1.90). Also, no benefit from hydrocortisone compared to placebo was found for reducing sleep problems, hunger, parental stress or improving HRQoL. CONCLUSIONS: Hydrocortisone, when compared to placebo, had no additional effect in reducing clinically relevant dexamethasone-induced neurobehavioural problems. Therefore, hydrocortisone is not advised as standard of care for children with ALL who experience dexamethasone-induced neurobehavioural problems. TRIAL REGISTRATION: Netherlands Trial Register NTR6695/NL6507 (https://trialsearch.who.int/) and EudraCT 2017-002738-22 (https://eudract.ema.europa.eu/).

Psychometric properties and reference values of the Patient-Reported Outcomes Measurement Information System (PROMIS) sleep item banks in the Dutch general population.

Psychometric properties of the v1.0 Patient-Reported Outcomes Measurement Information System (PROMIS®) sleep disturbance (27 items) and sleep-related impairment (SRI; 16 items) item banks, short forms derived from the item bank, and simulated computerised adaptive test (CAT), were assessed in a representative sample of 1,006 adults from the Dutch general population. For sleep disturbance all items fitted the item response theory model. Four items showed differential item functioning (i.e., lack of measurement invariance) for age and two for language but the impact on scores (expressed as T-scores) was small. Reliable scores (r > 0.90) were found for 92.2%-96.3% of respondents with the full bank, short forms with six and eight items, and CAT, but for only 25.6% with the four-item short form. For SRI two items did not fit the item response theory model. Four items showed differential item functioning for language but the impact on T-scores was small. Reliable scores were found for 82.1% with the full bank, for 47.8%-69.5% with short forms and CAT. T-scores of 49.7 and 49.3 represent the average score of the Dutch general population for sleep disturbance and SRI, respectively. In conclusion, sufficient structural validity, reliability, and cross-cultural validity was found for the full banks but short forms of four items are not reliable enough for clinical practice. For SRI we recommend the full item bank if this is the primary outcome.

Fatigue trajectories during pediatric ALL therapy are associated with fatigue after treatment: a national longitudinal cohort study.

OBJECTIVE: Fatigue is one of the most prevalent and distressing symptoms reported by survivors of childhood cancer. There is currently a lack of longitudinal studies on cancer-related fatigue, and especially on the relationship between the course of fatigue during treatment and fatigue at follow-up. The purpose of the current study was therefore to investigate if the course of fatigue during treatment, treatment intensity, serious adverse events, sex, or age at diagnosis are associated with cancer-related fatigue after treatment. METHODS: Participants were 92 children and adolescents diagnosed with acute lymphoblastic leukemia (mean age at diagnosis was 6.26 years). Fatigue was measured with PedsQL multidimensional fatigue scale proxy reports 5 months after diagnosis, 12 months after diagnosis, 24 months after diagnosis, and at follow-up 12 months after end of treatment. The effect of patient and treatment characteristics on fatigue reported at follow-up was tested through logistic regression analyses. RESULTS: The course of fatigue during treatment significantly predicted fatigue reported at follow-up for general fatigue (p = .038, OR = 9.20), sleep/rest fatigue (p = .011, OR = 15.48), and cognitive fatigue (p < .001, OR = 10.78). None of the other variables were associated with fatigue at follow-up for any of the subscales. CONCLUSIONS: The findings demonstrate that fatigue reported during treatment can predict fatigue at follow-up. These results stress the need for longitudinal assessments. Healthcare professionals need to be aware that pediatric patients who are fatigued during treatment need to receive additional attention and timely interventions since cancer-related fatigue will not resolve by itself in the first year after end of treatment.

Interactive Education on Sleep Hygiene with a Social Robot at a Pediatric Oncology Outpatient Clinic: Feasibility, Experiences, and Preliminary Effectiveness.

OBJECTIVES: Children with cancer often experience sleep problems, which are associated with many negative physical and psychological health outcomes, as well as with a lower quality of life. Therefore, interventions are strongly required to improve sleep in this population. We evaluated interactive education with respect to sleep hygiene with a social robot at a pediatric oncology outpatient clinic regarding the feasibility, experiences, and preliminary effectiveness. METHODS: Researchers approached children (8 to 12 years old) who were receiving anticancer treatment and who were visiting the outpatient clinic with their parents during the two-week study period. The researchers completed observation forms regarding feasibility, and parents completed the Children's Sleep Hygiene Scale before and two weeks after the educational regimen. The experiences of children and parents were evaluated in semi-structured interviews. We analyzed open answers by labeling each answer with a topic reflecting the content and collapsed these topics into categories. We used descriptive statistics to describe the feasibility and experiences, and a dependent-samples t-test to evaluate the preliminary effectiveness. RESULTS: Twenty-eight families participated (58% response rate) and all interactions with the robot were completed. The children and parents reported that they learned something new (75% and 50%, respectively), that they wanted to learn from the robot more often (83% and 75%, respectively), and that they applied the sleeping tips from the robot afterwards at home (54%). Regarding the preliminary effectiveness, children showed a statistically significant improvement in their sleep hygiene (p = 0.047, d = 0.39). CONCLUSIONS: Providing an educational regimen on sleep hygiene in a novel, interactive way by using a social robot at the outpatient clinic seemed feasible, and the children and parents mostly exhibited positive reactions. We found preliminary evidence that the sleep hygiene of children with cancer improved.

Insomnia Symptoms and Daytime Fatigue Co-Occurrence in Adolescent and Young Adult Childhood Cancer Patients in Follow-Up after Treatment: Prevalence and Associated Risk Factors.

Insomnia symptoms and daytime fatigue commonly occur in pediatric oncology, which significantly impact physical and psychosocial health. This study evaluated the prevalence of insomnia only, daytime fatigue only, the co-occurrence of insomnia−daytime fatigue symptoms, and associated risk factors. Childhood cancer patients (n = 565, 12−26 years old, ≥6 months after treatment) participated in a national, cross-sectional questionnaire study, measuring insomnia symptoms (ISI; Insomnia Severity Index) and daytime fatigue (single item). Prevalence rates of insomnia and/or daytime fatigue subgroups and ISI severity ranges were calculated. Multinomial regression models were applied to assess risk factors. Most patients reported no insomnia symptoms or daytime fatigue (61.8%). In the 38.2% of patients who had symptoms, 48.1% reported insomnia and daytime fatigue, 34.7% insomnia only, and 17.1% daytime fatigue only. Insomnia scores were higher in patients with insomnia−daytime fatigue compared to insomnia only (p < 0.001). Risk factors that emerged were: female sex and co-morbidities (all), shorter time after treatment and bedtime gaming (insomnia only), young adulthood (insomnia−fatigue/fatigue only), needing someone else to fall asleep and inconsistent wake times (both insomnia groups), lower educational level and consistent bedtimes (insomnia−fatigue). Insomnia symptoms and daytime fatigue are common and often co-occur. While current fatigue guidelines do not include insomnia symptoms, healthcare providers should inquire about insomnia as this potentially provides additional options for treatment and prevention.

Psychometric properties and CAT performance of the PROMIS pediatric sleep disturbance, sleep-related impairment, and fatigue item banks in Dutch children and adolescents.

This study's aim is to evaluate the psychometric properties of the pediatric Patient-Reported Outcomes Measurement Information System (PROMIS) sleep disturbance (SD), sleep-related impairment (SRI), and fatigue item banks in Dutch children and adolescents since they are yet to be validated in this population. Children and adolescents aged 8-18 years old (n = 1,325), representative of the Dutch general population, were invited. The following psychometric properties of both item banks were assessed: structural validity by fitting a graded response model (GRM) for which assumptions were checked and assessing item fit, reliability, and efficiency for the full-length item bank, short forms, and computerized adaptive test (CAT). Mean T scores and cutoff scores for mild, moderate, and severe scores were determined. A total of 527 children (response rate 39.7%) were included. SD did not meet the assumption of unidimensionality. The SRI and fatigue item banks showed sufficient structural validity. Three items showed GRM misfit; SRI item w026c and fatigue items 3224R1r and 4191R1r. Both item banks measured reliable (> .90) at the mean of the population and 2SD in the clinical direction. CATs outperformed short forms in efficiency. Mean T scores for the Dutch population were: SRI 47.5 (SD = 10.0) and fatigue 39.8 (SD = 12.4). Cutoffs included SRI minimal ≥ 34.7, moderate ≥ 55.6, severe ≥ 63.2 and fatigue minimal ≥ 23.9, moderate ≥ 49.9, severe ≥ 61.3. PROMIS pediatric SRI and fatigue item banks, short forms, and CAT showed sufficient structural validity and reliability in the Dutch population. Dutch reference values are provided. More research is needed for the PROMIS SD item bank. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Psychosocial function of Dutch children with cancer and their caregivers during different phases of the COVID-19 pandemic.

We compared psychosocial functioning of children with cancer and their caregivers in several phases of the coronavirus disease 2019 (COVID-19) pandemic to before COVID-19. One or more questionnaires on health-related quality of life (HRQoL) or fatigue of children or distress of their caregivers was available from 1644 families. In children with cancer, HRQoL was stable throughout the COVID-19 pandemic. Fatigue was slightly lower and sleep somewhat better during the pandemic than before. Caregiver distress was lower in the first pandemic phase, but increased to pre-COVID-19 levels in later phases, indicating that the length and consequences of the pandemic may be weighing on them.

Advances in measuring pediatric overall health: the PROMIS® Pediatric Global Health scale (PGH-7).

In this cross-sectional study, we aimed to assess the reliability, validity, and efficiency of the Patient-Reported Outcomes Measurement Information System (PROMIS) Pediatric Global Health scale (PGH-7) to reduce patient burden when assessing overall health in clinical practice. In total, 1082 children (8-18), representative of the Dutch population, completed the PGH-7 and the Pediatric Quality of Life Inventory (PedsQL™ 4.0), a common legacy instrument used in clinical practice to assess overall health. The assumptions for fitting an item response theory model were assessed: unidimensionality, local independence, and monotonicity. Subsequently, a model was fitted to the data to assess item fit and cultural differential item functioning (DIF) between Dutch and US children. A strong correlation (> .70) was expected between the PGH-7 and PedsQL, as both instruments measure physical, mental, and social domains of health. Percentages of participants reliably measured (> 0.90) were assessed using the standard error of measurement (SE(θ) < 0.32). Efficiency was calculated ((1 - SE(θ)2)/nitems) to compare how well both measures performed relative to number of items administered. The PGH-7 met all assumptions and displayed good structural and convergent (r = .69) validity. One item displayed cultural DIF. Both questionnaires measured reliably (%nPGH-7 = 73.8%, %nPedsQL = 76.6%) at the mean and 2SD in clinically relevant direction. PGH-7 items were 2.6 times more efficient in measuring overall health than the PedsQL.   Conclusion: The PGH-7 displays sufficient validity and reliability in the general Dutch pediatric population and measures more efficiently than the PedsQL, the most commonly used legacy instrument. The PGH-7 can be used in research and clinical practice to reduce patient burden when assessing overall health. What is Known: • Generic instruments which validly and reliably assess overall pediatric health are scarce. • Brief instruments are required for implementation of self-report patient-reported outcomes in clinical practice. What is New: • The PROMIS Pediatric Global Health (PGH-7) can be used in research and clinical practice to briefly assess overall pediatric health, while providing valid and reliable measurements. • The PGH-7 provides more efficient assessment of pediatric overall health than the Pediatric Quality of Life Inventory.

Prevalence of Sleep Disorders, Risk Factors and Sleep Treatment Needs of Adolescents and Young Adult Childhood Cancer Patients in Follow-Up after Treatment.

BACKGROUND: Sleep disorders negatively impact adolescent and young adult childhood cancer patients' physical and psychosocial health. Early recognition improves timely treatment. We therefore studied the prevalence of subjective sleep disorders, risk factors and sleep treatment needs after completion of childhood cancer treatment. METHODS: Childhood cancer patients (12-26 years old), ≥6 months after treatment, were invited to fill out the Holland Sleep Disorders Questionnaire, which distinguishes six sleep disorders in substantial agreement with the International Classification of Sleep Disorders, second edition (ICSD-2). They additionally indicated sleep treatment needs. Prevalence rates and needs were displayed in percentages. Logistic regression models were used for risk factors. RESULTS: 576 patients participated (response rate 55.8%)-49.5% females, mean age 17.0 years, 44.4% hemato-oncology, 31.9% solid tumors, 23.6% neuro-oncology. Prevalence rates were: insomnia (9.6%), circadian rhythm sleep disorder (CRSD; 8.1%), restless legs syndrome (7.6%), parasomnia (3.5%), hypersomnia (3.5%) and sleep-related breathing disorders (1.8%). Female sex, comorbid health conditions and young adulthood seem to be risk factors for sleep disorders, but cancer-related factors were not. Differing per sleep disorder, 42-72% wanted help, but only 0-5.6% received sleep treatment. CONCLUSIONS: Insomnia and CRSD were most prevalent. An unmet need for sleep treatment was reported by childhood cancer patients during follow-up. Screening for sleep disorders after cancer might improve access to treatment and patient wellbeing.

The association between vincristine-induced peripheral neuropathy and health-related quality of life in children with cancer.

PURPOSE: Vincristine (VCR) is a chemotherapeutic agent used in the treatment of pediatric oncology patients, but its main toxicity is VCR-induced peripheral neuropathy (VIPN). However, whether VIPN has an effect on health-related quality of life (HR-QoL) in children during treatment is unknown. Therefore, the aim of our study was to investigate the association between VIPN and HR-QoL in children starting treatment for cancer. METHODS: Measurements of VIPN were performed using two tools: Common Terminology Criteria for Adverse Events (CTCAE) and pediatric-modified Total Neuropathy Score (ped-mTNS). Assessment of HR-QoL was done with self- and proxy assessment of the Cancer and Generic module of the Pediatric Cancer Quality of Life Inventory™ (PedsQL). RESULTS: In total, N = 86 children were included. HR-QoL of children with VIPN (n = 67%, 76%) was significantly lower in comparison with children without VIPN: estimated Total score of PedsQL Generic (proxy) 84.57; ß = -8.96 and 95% confidence interval (CI) -14.48 to -3.43; p = 0.002, estimated PedsQL Generic Total score (self-reported): 85.16, ß = -8.38 (95% CI: -13.76 to -3.00); p = 0.003. Similar results were found in the Pain and Hurt domain of the PedsQL Cancer (pain: estimated score [proxy]: 85.28, ß = -9.94 [95%CI: -16.44 to -3.45], p = 0.003; hurt: estimated score [self-report] 97.57, ß = -19.15 [95%CI: -26.82 to -11.48], p < 0.001). CONCLUSION: VIPN results in a significant reduction of HR-QoL in children under treatment for a malignancy, which means that VIPN is important for the well-being of pediatric oncology patients. Therefore, this study underlines the importance of optimizing treatment with VCR, thereby aiming to reduce VIPN while maintaining efficacy.

Disparities in pediatric psychosocial oncology utilization.

BACKGROUND: Integratedbehavioral health models have been proposed as care delivery approaches to mitigate mental health disparities in primary care settings. However, these models have not yet been widely adopted or evaluated in pediatric oncology medical homes. METHODS: We conducted a retrospective cohort study of 394 children with newly diagnosed cancer at Dana-Farber/Boston Children's Cancer and Blood Disorders Center (DF/BCH) from April 2013 to January 2017. Baseline sociodemographic characteristics and psychiatry utilization outcomes at 12 months following diagnosis were abstracted from the medical record. The severity of household material hardship (HMH), a concrete poverty exposure, at diagnosis and race/ethnicity were characterized by parent report using the Psychosocial Assessment Tool 2.0 (PAT). Associations between sociodemographic characteristics and receipt of psychiatry consultation were assessed with multivariable logistic regression models. RESULTS: Among 394 children, 29% received a psychiatric consultation within 12 months postdiagnosis. Of these, 88% received a new psychiatric diagnosis, 76% received a psychopharmacologic recommendation, and 62% received a new behavioral intervention recommendation. In multivariable logistic regression adjusting for age, cancer diagnosis, and PAT total score, there was no statistically significant association between HMH severity or household income and psychiatry utilization. Children who identified as racial/ethnic minorities were significantly less likely to receive a psychiatry consultation (OR = 0.48, 95% CI = 0.27-0.84). CONCLUSIONS: In a pediatric oncology medical home with an integrated behavioral health model, socioeconomic status was not associated with disparate psychiatry utilization. However, there remained a profound racial/ethnic disparity in psychiatry utilization, highlighting the need for additional research and care delivery intervention.

Psychometric properties of the Patient-Reported Outcomes Measurement Information System (PROMIS®) Pediatric Anger Scale in the Dutch general population.

This study aimed to validate the PROMIS® pediatric v2.0 Anger scale in the Dutch general population, provide reference data, and compare reliability and relative efficiency between the full-length scale, its short-form, computerized adaptive test (CAT), and Pediatric Quality of Life Inventory (PedsQLTM) emotional functioning (EF) subscale scores. Children (N = 1,328), representative of the Dutch population, were asked to complete the PROMIS pediatric Anger scale (8-18 years) and PedsQLTM (8-17 years). A graded response model (GRM) was fit to the data. Structural validity was assessed by checking item-fit statistics (S-X2, p < .001 = misfit). For construct validity, a moderate correlation (Pearson's r > 0.50) was expected between the Anger scale and PedsQLTM EF subscale score. Dutch mean T score based on the U.S. model was calculated to provide reference data and cut-offs. Standard error of measurement (SE(θ)) was used to assess reliability (SE(θ) < .32 = .90 reliability). Relative efficiency was calculated (1 - SE(θ)2/N items) to compare how good the measures performed relative to the amount of items administered. In total, 527 children completed the PROMIS pediatric Anger scale, of which 482 completed the PedsQLTM. Structural validity was sufficient as no items displayed misfit (S-X2 = 22.9-40.3, p > .001). The Anger scale score correlated moderately (Pearson's r = .64) with the PedsQLTM EF subscale score. Dutch mean T score was 44.20 (SD = 11.39), with cut-offs of >52.2 for moderate and ≥62.3 for severe symptoms. Reliable measurements were obtained at the population mean and >2SD in the clinically relevant direction. CAT outperformed all other measures in efficiency. The PROMIS pediatric Anger scale displayed sufficient psychometric properties within the Dutch population and reference data are available. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

From statistics to clinics: the visual feedback of PROMIS® CATs.

BACKGROUND: To reduce the burden of completing Patient-Reported Outcome Measures (PROMs), PROMIS® Computerized Adaptive Tests (CATs) are being implemented in pediatric clinical practice. We aimed to develop recommendations for visual feedback options for PROMIS CATs on individual item and domain score level as an evidence-based feedback recommendation for PROMIS CATs is lacking. METHODS: Focus groups were held with clinicians who use the KLIK PROM portal. Literature-based feedback options were provided to initiate group discussion. Data was analyzed using thematic coding method. Additionally, a questionnaire was sent out to assess patients' (12-18y) and parents' (child 0-18y) preference for individual item feedback. Data was analyzed using descriptive statistics. RESULTS: Six focus groups were held (N = 28 clinicians). Regarding individual item feedback, showing the complete item bank, with only responses to administered items in traffic light colors was preferred. For domain scores, line graphs were preferred, including numerical (T-)scores, reference and cut-off lines, and traffic light colors. Separate graphs per domain, ranked in order of importance and harmonization of directionality ('higher = better') were considered important. Questionnaire results (N = 31 patients/N = 131 parents) showed that viewing their own item responses was preferred above receiving no item feedback by 58.1% of the patients and 77.1% of the parents. CONCLUSIONS: Based on the outcomes and after discussion with the Dutch-Flemish PROMIS National Center, recommendations for PROMIS CAT feedback options were developed. PROMIS CATs can now be used in clinical practice to help clinicians monitor patient outcomes, while reducing the burden of completing PROMs for patients significantly.