SummaryWe investigated whether deficiency of mannose-binding lectin (MBL), a component of innate immunity, is associated with neonatal pneumonia and sepsis during the first 72 h, i.e. early onset, and during the first month after birth. In 88 neonatal intensive care patients (71 premature), MBL2 genotype and MBL plasma levels at birth were determined prospectively by Taqman analysis and enzyme-linked immunosorbent assay, respectively. Thirty-five neonates (40%) had low, i.e. Յ 0·7 mg/ml, MBL plasma levels at birth. Median (interquartile range) MBL plasma levels in 32 no early-onset sepsis (EOS) cases, 44 possible EOS cases and 11 EOS cases were 1·57 (0·57-2·67) mg/ml, 1·05 (0·41-1·70) mg/ml and 0·20 (0·10-0·77) mg/ml, respectively (P < 0·01). During the first month, 28 neonates (32%) had no infection, 49 (55%) had suspected infection, five (6%) had pneumonia and six (7%) had culture-proven sepsis. Low MBL levels at birth were associated both with an increased risk of developing pneumonia (OR: 12·0; 95% CI: 1·1-126·1; P = 0·04) and culture-proven sepsis (OR: 15·0; 95% CI: 1·5-151·3; P = 0·02). These results were confirmed by genetic analysis of MBL deficiency. Low MBL levels at birth are associated with an increased risk of early-onset sepsis, culture-proven sepsis and pneumonia during the first month of life.

Long-term trends in neuroblastoma incidence and survival in unscreened populations are unknown. We explored trends in incidence, stage at diagnosis, treatment and survival of neuroblastoma in the Netherlands from 1990 to 2014. Methods: The Netherlands Cancer Registry provided data on all patients aged <18 years diagnosed with a neuroblastoma. Trends in incidence and stage were evaluated by calculating the average annual percentage change (AAPC). Univariate and multivariable survival analyses were performed for stage 4 disease to test whether changes in treatment are associated with survival. Results: Of the 593 newly diagnosed neuroblastoma cases, 45% was <18 months of age at diagnosis and 52% had stage 4 disease. The age-standardized incidence rate for stage 4 disease increased at all ages from 3.2 to 5.3 per million children per year (AAPC þ 2.9%, p < .01).

Study Objectives To compare sleep–wake rhythms, melatonin, and cancer-related fatigue in pediatric patients with acute lymphoblastic leukemia (ALL) to healthy children and to assess the association between sleep–wake outcomes and cancer-related fatigue. Methods A national cohort of ALL patients (2–18 years) was included. Sleep–wake rhythms were measured using actigraphy and generated the following variables: Interdaily stability (IS): higher IS reflects higher stability; intradaily variability (IV): lower IV indicates less fragmentation; L5 and M10 counts: activity counts during the five least and 10 most active hours, respectively; and relative amplitude (RA): the ratio of L5 and M10 counts (higher RA reflects a more robust rhythm). The melatonin metabolite, 6-sulfatoxymelatonin (aMT6s), was assessed in urine. Cancer-related fatigue was assessed with the PedsQL Multidimensional Fatigue Scale. Using regression models sleep–wake rhythms, aMT6s, and cancer-related fatigue were compared to healthy children and associations between sleep–wake outcomes and cancer-related fatigue were assessed in ALL patients. Results In total, 126 patients participated (response rate: 67%). IS, RA, and M10 counts were lower in patients compared to healthy children (p &lt; 0.001). aMT6s levels were comparable to healthy children (p = 0.425). Patients with ALL were more fatigued compared to healthy children (p &lt; 0.001). Lower IS, RA and M10 counts and higher IV were significantly associated with more parent-reported cancer-related fatigue. Associations between sleep–wake rhythms and self-reported cancer-related fatigue were not statistically significant. Conclusions Sleep–wake rhythm impairment is associated with more cancer-related fatigue in pediatric ALL patients. Interventions aimed to improve sleep hygiene and encourage physical activity may reduce cancer-related fatigue.

Objective To assess sleep problems (prevalence and predictors) in pediatric patients with acute lymphoblastic leukemia (ALL) after the most intensive phase of therapy (induction). Methods Patients (≥2 years) treated according to the Dutch ALL‐11 protocol were included. Sleep was measured using parent‐reports and self‐reports (Children's Sleep Habits Questionnaire; CSHQ) and actigraphy. Parental sleep (Medical Outcome Study Sleep Scale) and distress and parenting problems (Distress Thermometer for Parents) were assessed with questionnaires. Z‐scores were calculated for total CSHQ scores using age‐appropriate scores of healthy Dutch children. The prevalence of sleep problems (defined as a Z‐score > 1) in patients with ALL was compared to healthy children (chi‐square tests). Actigraphic sleep estimates were collected in healthy Dutch children (n = 86, 2‐18 years) for comparison with patients (linear regression). Determinants of parent‐reported child sleep (total CSHQ Z‐score) were identified with regression models. Results Responses were collected for 124 patients (response rate 67%), comprising 123 parent‐reports, 34 self‐reports, and 69 actigraphy assessments. Parents reported sleep problems in 38.0% of the patients compared to 15.2% in healthy children (P < .001). Patients reported fewer sleep problems themselves: 12.1% compared to 15.8% in healthy children (P = .33). Total time in bed (B (95% CI): 22.89 (9.55‐36.22)) and total sleep time (B (95% CI):16.30 (1.40‐31.19)), as derived from actigraphy, were significantly longer in patients. More parent‐reported child sleep problems were predicted by parenting problems, more parental sleep problems, bedroom sharing, and child's sleep medication use (explained variance: 27.4%). Conclusions Systematic monitoring of child and parental sleep and implementation of effective interventions may be a gateway to improve quality of survival in pediatric ALL.

Purpose To assess the impact of maintenance therapy and the additional impact of dexamethasone treatment on cancer-related fatigue and sleep-wake rhythms in pediatric acute lymphoblastic leukemia (ALL) patients and to determine the association between these outcomes. Methods A national cohort of pediatric ALL patients (≥ 2 years) was included (± 1 year post-diagnosis). Patients receiving dexamethasone were assessed twice (assessment with and without dexamethasone). Actigraphy assessments were used to calculate sleep-wake outcomes with nonparametric methods. Cancer-related fatigue was assessed with the PedsQL Multidimensional Fatigue Scale. Sleep-wake rhythms and cancer-related fatigue were compared between patients participating in the assessment without dexamethasone and healthy children (linear regression) and between assessments with and without dexamethasone (mixed models). Using linear regression, associations between sleep-wake outcomes and cancer-related fatigue were determined during assessments with and without dexamethasone. Results Responses were collected for 125 patients (113 assessments with and 81 without dexamethasone). The sleep-wake rhythm was less stable (p = 0.03) and less robust (p = 0.01), with lower physical activity levels (p < 0.001) and higher cancerrelated fatigue levels (p < 0.001) in ALL patients compared to healthy children. Physical activity was lower (p = 0.001) and cancer-related fatigue more severe (p ≤ 0.001) during assessments with dexamethasone compared to without dexamethasone. Sleep-wake outcomes were significantly associated with cancer-related fatigue during periods without dexamethasone, but not during periods with dexamethasone. Conclusion Sleep-wake rhythms are disturbed, physical activity levels lower, and cancer-related fatigue levels higher during maintenance therapy. Interventions aimed to enhance sleep-wake rhythms during maintenance therapy could improve cancerrelated fatigue. Families should be supported in coping with the additional burden of dexamethasone treatment to improve wellbeing of ALL patients.

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Survival in children with relapsed/refractory acute myeloid leukemia is unsatisfactory. Treatment consists of one course of fludarabine, cytarabine and liposomal daunorubicin, followed by fludarabine and cytarabine and stem-cell transplantation. Study ITCC 020/I-BFM 2009-02 aimed to identify the recommended phase II dose of clofarabine replacing fludarabine in the abovementioned combination regimen (3+3 design). Escalating dose levels of clofarabine (20-40 mg/m2/day × 5 days) and liposomal daunorubicin (40–80 mg/m2/day) were administered with cytarabine (2 g/m2/day × 5 days). Liposomal DNR was given on day 1, 3 and 5 only. The cohort at the recommended phase II dose was expanded to make a preliminary assessment of anti-leukemic activity. Thirty-four children were enrolled: refractory 1st (n=11), early 1st (n=15), ≥2nd relapse (n=8). Dose level 3 (30 mg/m2clofarabine; 60 mg/m2liposomal daunorubicin) appeared to be safe only in patients without subclinical fungal infections. Infectious complications were dose-limiting. The recommended phase II dose was 40 mg/m2 clofarabine with 60 mg/m2 liposomal daunorubicin. Side-effects mainly consisted of infections. The overall response rate was 68% in 31 response evaluable patients, and 80% at the recommended phase II dose (n=10); 22 patients proceeded to stem cell transplantation. The 2-year probability of event-free survival (pEFS) was 26.5±7.6 and probability of survival (pOS) 32.4±8.0%. In the 21 responding patients, the 2-year pEFS was 42.9±10.8 and pOS 47.6±10.9%. Clofarabine exposure in plasma was not significantly different from that in single-agent studies. In conclusion, clofarabine was well tolerated and showed high response rates in relapsed/refractory pediatric acute myeloid leukemia. Patients with (sub) clinical fungal infections should be treated with caution. Clofarabine has been taken forward in the Berlin-Frankfurt-Münster study for newly diagnosed acute myeloid leukemia. The Study ITCC-020 was registered as EUDRA-CT 2009-009457-13; Dutch Trial Registry number 1880.