Learning consistent subcellular landmarks to quantify changes in multiplexed protein maps.

Highly multiplexed imaging holds enormous promise for understanding how spatial context shapes the activity of the genome and its products at multiple length scales. Here, we introduce a deep learning framework called CAMPA (Conditional Autoencoder for Multiplexed Pixel Analysis), which uses a conditional variational autoencoder to learn representations of molecular pixel profiles that are consistent across heterogeneous cell populations and experimental perturbations. Clustering these pixel-level representations identifies consistent subcellular landmarks, which can be quantitatively compared in terms of their size, shape, molecular composition and relative spatial organization. Using high-resolution multiplexed immunofluorescence, this reveals how subcellular organization changes upon perturbation of RNA synthesis, RNA processing or cell size, and uncovers links between the molecular composition of membraneless organelles and cell-to-cell variability in bulk RNA synthesis rates. By capturing interpretable cellular phenotypes, we anticipate that CAMPA will greatly accelerate the systematic mapping of multiscale atlases of biological organization to identify the rules by which context shapes physiology and disease.

Parents' and adolescents' perspectives and understanding of information about childhood cancer precision medicine.

BACKGROUND: Precision medicine is projected to become integral to childhood cancer care. As such, it is essential to support families to understand what precision medicine entails. METHODS: A total of 182 parents and 23 adolescent patients participating in Precision Medicine for Children with Cancer (PRISM), an Australian precision medicine clinical trial for high-risk childhood cancer, completed questionnaires after study enrollment (time 0 [T0]). Of the parents, 108 completed a questionnaire and 45 completed an interview following return of precision medicine results (time 1 [T1]). We analyzed the mixed-methods data comprising measures exploring families' perceptions and understanding of PRISM's participant information sheet and consent form (PISCF), and factors associated with understanding. RESULTS: Most parents were satisfied with the PISCF, rating it as at least "somewhat" clearly presented (n = 160/175; 91%) and informative (n = 158/175; 90%). Many suggested improvements including the use of clearer language and a more visually engaging format. Parents' actual understanding of precision medicine was low on average, but scores improved between T0 and T1 (55.8/100-60.0/100; p = .012). Parents from culturally and/or linguistically diverse backgrounds (n = 42/177; 25%) had lower actual understanding scores than those from a Western/European background whose first language was English (p = .010). There was little correlation between parents' perceived and actual understanding scores (p = .794; Pearson correlation -0.020; 95% CI, -0.169 to 0.116). Most adolescent patients read the PISCF either "briefly" or "not at all" (70%) and had a perceived understanding score of 63.6/100 on average. CONCLUSIONS: Our study revealed gaps in families' understanding of childhood cancer precision medicine. We highlighted areas for potential intervention such as through targeted information resources. PLAIN LANGUAGE SUMMARY: Precision medicine is projected to become part of the standard of care for children with cancer. Precision medicine aims to give the right treatment to the right patient and involves several complex techniques, many of which may be challenging to understand. Our study analyzed questionnaire and interview data from parents and adolescent patients enrolled in an Australian precision medicine trial. Findings revealed gaps in families' understanding of childhood cancer precision medicine. Drawing on parents' suggestions and the literature, we make brief recommendations about improving information provision to families, such as through targeted information resources.

Parents' expectations, preferences, and recall of germline findings in a childhood cancer precision medicine trial.

BACKGROUND: Germline genome sequencing in childhood cancer precision medicine trials may reveal pathogenic or likely pathogenic variants in cancer predisposition genes in more than 10% of children. These findings can have implications for diagnosis, treatment, and the child's and family's future cancer risk. Understanding parents' perspectives of germline genome sequencing is critical to successful clinical implementation. METHODS: A total of 182 parents of 144 children (<18 years of age) with poor-prognosis cancers enrolled in the Precision Medicine for Children with Cancer trial completed a questionnaire at enrollment and after the return of their child's results, including clinically relevant germline findings (received by 13% of parents). Parents' expectations of germline genome sequencing, return of results preferences, and recall of results received were assessed. Forty-five parents (of 43 children) were interviewed in depth. RESULTS: At trial enrollment, most parents (63%) believed it was at least "somewhat likely" that their child would receive a clinically relevant germline finding. Almost all expressed a preference to receive a broad range of germline genomic findings, including variants of uncertain significance (88%). Some (29%) inaccurately recalled receiving a clinically relevant germline finding. Qualitatively, parents expressed confusion and uncertainty after the return of their child's genome sequencing results by their child's clinician. CONCLUSIONS: Many parents of children with poor-prognosis childhood cancer enrolled in a precision medicine trial expect their child may have an underlying cancer predisposition syndrome. They wish to receive a wide scope of information from germline genome sequencing but may feel confused by the reporting of trial results.

Hopes, concerns, satisfaction and regret in a precision medicine trial for childhood cancer: a mixed-methods study of parent and patient perspectives.

BACKGROUND: Paediatric precision oncology aims to match therapeutic agents to driver gene targets. We investigated whether parents and patients regret participation in precision medicine trials, particularly when their hopes are unfulfilled. METHODS: Parents and adolescent patients completed questionnaires at trial enrolment (T0) and after receiving results (T1). Parents opted-in to an interview at T1. Bereaved parents completed a questionnaire 6-months post-bereavement (T1B). We analysed quantitative data with R and qualitative data thematically with NVivo, before integrating all data for interpretation. RESULTS: 182 parents and 23 patients completed T0; 108/182 parents and 8/23 patients completed T1; 27/98 bereaved parents completed T1B; and 45/108 parents were interviewed. At enrolment, participants held concurrent hopes that precision medicine would benefit future children and their child. Participants expressed concern regarding wait-times for receipt of results. Most participants found the trial beneficial and not burdensome, including bereaved parents. Participants reported high trial satisfaction (median scores: parents: 93/100; patients: 80/100). Participants expressed few regrets (parent median scores: parents: 10/100; bereaved parents: 15/100; patient regret: 2/8 expressed minimal regret). CONCLUSIONS: Even when trial outcomes did not match their hopes, parents and patients rarely regretted participating in a childhood cancer precision medicine trial. These data are critical for integrating participants' views into future precision medicine delivery.

Serum GDF9 and BMP15 as potential markers of ovarian function in women with and without polycystic ovary syndrome.

OBJECTIVE: Growth differentiation factor-9 (GDF9) and bone morphogenetic protein-15 (BMP15) are critical paracrine regulators of female fertility and are predominantly expressed by oocytes. However, it is unknown if serum concentrations reflect changes in ovarian function and/or reproductive endocrine disorders. This study aimed to determine if serum GDF9/BMP15 are associated with ovarian, pituitary, oestrogenic, androgenic and metabolic characteristics and the ovarian pathologies, polycystic ovarian morphology (PCOM) and polycystic ovary syndrome (PCOS). DESIGN: Women aged 21-45 years (n = 381) were included from a cross-sectional study at the National University Hospital, Singapore. PATIENTS: Participants were volunteers and patients with possible PCOS. MEASUREMENTS: Anthropometric measurements, transvaginal ultrasound scans and serum sampling were performed and a questionnairecompleted. Serum GDF9 and BMP15 concentrations were matched with menstrual cycle length, ovarian protein and steroid hormone production, pituitary hormone production and metabolic assessments in women with PCOM or PCOS and those with neither (control). RESULTS: Serum GDF9 and BMP15 were detectable in 40% and 41% of women, respectively and were positively correlated with each other (r = 0.08, p = 0.003). GDF9, but not BMP15, was positively correlated with ovarian volume (p = 0.02) and antral follicle count (AFC) (p = 0.004), but not with anti-Müllerian hormone (p = 0.05). However, serum GDF9 and BMP15 concentrations were not significantly different between control, PCOM and PCOS women, nor associated with androgenic or metabolic PCOS features. However, the relationship between GDF9 and AFC differed between control, PCOM and PCOS women (p = 0.02). CONCLUSIONS: Serum GDF9 and BMP15 concentrations somewhat reflect ovarian but not androgenic or metabolic characteristics of PCOS, with increased GDF9 reflecting high AFC as seen in PCOM/PCOS.

Prospective longitudinal evaluation of treatment-related toxicity and health-related quality of life during the first year of treatment for pediatric acute lymphoblastic leukemia.

BACKGROUND: Pediatric acute lymphoblastic leukemia (ALL) therapy is accompanied by treatment-related toxicities (TRTs) and impaired quality of life. In Australia and New Zealand, children with ALL are treated with either Children's Oncology Group (COG) or international Berlin-Frankfurt-Munster (iBFM) Study Group-based therapy. We conducted a prospective registry study to document symptomatic TRTs (venous thrombosis, neurotoxicity, pancreatitis and bone toxicity), compare TRT outcomes to retrospective TRT data, and measure the impact of TRTs on children's general and cancer-related health-related quality of life (HRQoL) and parents' emotional well-being. METHODS: Parents of children with newly diagnosed ALL were invited to participate in the ASSET (Acute Lymphoblastic Leukaemia Subtypes and Side Effects from Treatment) study and a prospective, longitudinal HRQoL study. TRTs were reported prospectively and families completed questionnaires for general (Healthy Utility Index Mark 3) and cancer specific (Pediatric Quality of Life Inventory (PedsQL)-Cancer Module) health related quality of life as well the Emotion Thermometer to assess emotional well-being. RESULTS: Beginning in 2016, 260 pediatric patients with ALL were enrolled on the TRT registry with a median age at diagnosis of 59 months (range 1-213 months), 144 males (55.4%), majority with Pre-B cell immunophenotype, n = 226 (86.9%), 173 patients (66.5%) treated according to COG platform with relatively equal distribution across risk classification sub-groups. From 2018, 79 families participated in the HRQoL study through the first year of treatment. There were 74 TRT recorded, reflecting a 28.5% risk of developing a TRT. Individual TRT incidence was consistent with previous studies, being 7.7% for symptomatic VTE, 11.9% neurotoxicity, 5.4% bone toxicity and 5.0% pancreatitis. Children's HRQoL was significantly lower than population norms throughout the first year of treatment. An improvement in general HRQoL, measured by the HUI3, contrasted with the lack of improvement in cancer-related HRQoL measured by the PedsQL Cancer Module over the first 12 months. There were no persisting differences in the HRQoL impact of COG compared to iBFM therapy. CONCLUSIONS: It is feasible to prospectively monitor TRT incidence and longitudinal HRQoL impacts during ALL therapy. Early phases of ALL therapy, regardless of treatment platform, result in prolonged reductions in cancer-related HRQoL.

Health service and medication use of parents of childhood cancer survivors: a controlled comparison study.

BACKGROUND: Parents of childhood cancer survivors may be vulnerable to experiencing poor health outcomes, but little is known about how these parents use healthcare. This study investigated the nature and extent of survivors' parents' healthcare and medication use relative to a comparison group. We also examined whether demographic or cancer-related factors were related to healthcare use and whether healthcare use was associated with parents' general functioning. METHODS: We conducted a cross-sectional study involving 55 parents of cancer survivors recruited through eight Australian hospitals, and 135 parents of children without a cancer diagnosis, through an online recruitment platform. Participants responded to a questionnaire assessing their health service usage, regular medications, general functioning (engagement activities including work/study) and anxiety and depression symptoms (using PROMIS short forms). We performed regression analysis to determine factors related to healthcare and medication use in parents of survivors. RESULTS: More parents of survivors reported accessing mental health services than comparison parents (56% vs. 33%, p=.003), mainly due to their use of social workers. Fewer parents of survivors reported accessing other community health services, particularly general practitioners (51% vs. 78%, p<.001). Having a child survivor who was male was associated with greater use of community health services (B= -0.67, p=.008). No other demographic or cancer-related variables were associated with health service use. Health service use was not associated with general functioning, but greater medication use was associated with higher anxiety scores (B = 1.41, p=.008). CONCLUSION: Parents of childhood cancer survivors showed different patterns of health service use relative to comparison parents, but the extent of their use was not significantly linked with demographic or cancer-related variables. Comprehensive assessment of parents' needs in clinical encounters remains vital to identify and appropriately match support needs with available services.

The AGITG GAP Study: A Phase II Study of Perioperative Gemcitabine and Nab-Paclitaxel for Resectable Pancreas Cancer.

BACKGROUND: While combination therapy with nab-paclitaxel/gemcitabine (nab-gem) is effective in pancreatic ductal adenocarcinoma (PDAC), its efficacy as perioperative chemotherapy is unknown. The primary objective of this multicenter, prospective, single-arm, phase II study was to determine whether neoadjuvant therapy with nab-gem was associated with higher complete resection rates (R0) in resectable PDAC, while the secondary objectives were to determine the utility of radiological assessment of response to preoperative chemotherapy and the safety and efficacy of nab-gem as perioperative therapy. METHODS: Patients were recruited from eight Australian sites, and 42 patients with radiologically defined resectable PDAC and an Eastern Cooperative Oncology Group performance status of 0-2 were enrolled. Participants received two cycles of preoperative nab-paclitaxel 125 mg/m2 and gemcitabine 1000 mg/m2 on days 1, 8, and 15 (28-day cycle) presurgery, and four cycles postoperatively. Early response to chemotherapy was measured with fluorodeoxyglucose-positron emission tomography/computed tomography (FDG-PET/CT) scans on day 15. RESULTS: Preoperative nab-gem was completed by 93% of participants, but only 63% postoperatively. Thirty-six patients had surgery: 6 (17%) were unresectable, 15 (52%) had R0 (≥ 1 mm) resections, 14 (48%) had R1 (< 1 mm) resections, and 1 patient did not have PDAC. Median progression-free survival was 12.3 months and median overall survival (OS) was 23.5 months: R0 patients had an OS of 35 months versus 25.6 months for R1 patients after surgery. Seven patients had not progressed after 43 months. CONCLUSIONS: The GAP trial demonstrated that perioperative nab-gem was tolerable. Although the primary endpoint of an 85% R0 rate was not met, the R0 rate was similar to trials using a > 1 mm R0 resection definition, and survival rates were comparable with recent adjuvant studies.

Outcomes of Two Trials of Oxygen-Saturation Targets in Preterm Infants.

BACKGROUND: The safest ranges of oxygen saturation in preterm infants have been the subject of debate. METHODS: In two trials, conducted in Australia and the United Kingdom, infants born before 28 weeks' gestation were randomly assigned to either a lower (85 to 89%) or a higher (91 to 95%) oxygen-saturation range. During enrollment, the oximeters were revised to correct a calibration-algorithm artifact. The primary outcome was death or disability at a corrected gestational age of 2 years; this outcome was evaluated among infants whose oxygen saturation was measured with any study oximeter in the Australian trial and those whose oxygen saturation was measured with a revised oximeter in the U.K. trial. RESULTS: After 1135 infants in Australia and 973 infants in the United Kingdom had been enrolled in the trial, an interim analysis showed increased mortality at a corrected gestational age of 36 weeks, and enrollment was stopped. Death or disability in the Australian trial (with all oximeters included) occurred in 247 of 549 infants (45.0%) in the lower-target group versus 217 of 545 infants (39.8%) in the higher-target group (adjusted relative risk, 1.12; 95% confidence interval [CI], 0.98 to 1.27; P=0.10); death or disability in the U.K. trial (with only revised oximeters included) occurred in 185 of 366 infants (50.5%) in the lower-target group versus 164 of 357 infants (45.9%) in the higher-target group (adjusted relative risk, 1.10; 95% CI, 0.97 to 1.24; P=0.15). In post hoc combined, unadjusted analyses that included all oximeters, death or disability occurred in 492 of 1022 infants (48.1%) in the lower-target group versus 437 of 1013 infants (43.1%) in the higher-target group (relative risk, 1.11; 95% CI, 1.01 to 1.23; P=0.02), and death occurred in 222 of 1045 infants (21.2%) in the lower-target group versus 185 of 1045 infants (17.7%) in the higher-target group (relative risk, 1.20; 95% CI, 1.01 to 1.43; P=0.04). In the group in which revised oximeters were used, death or disability occurred in 287 of 580 infants (49.5%) in the lower-target group versus 248 of 563 infants (44.0%) in the higher-target group (relative risk, 1.12; 95% CI, 0.99 to 1.27; P=0.07), and death occurred in 144 of 587 infants (24.5%) versus 99 of 586 infants (16.9%) (relative risk, 1.45; 95% CI, 1.16 to 1.82; P=0.001). CONCLUSIONS: Use of an oxygen-saturation target range of 85 to 89% versus 91 to 95% resulted in nonsignificantly higher rates of death or disability at 2 years in each trial but in significantly increased risks of this combined outcome and of death alone in post hoc combined analyses. (Funded by the Australian National Health and Medical Research Council and others; BOOST-II Current Controlled Trials number, ISRCTN00842661, and Australian New Zealand Clinical Trials Registry number, ACTRN12605000055606.).

Pulse Oximeter Saturation Targeting and Oximeter Changes in the Benefits of Oxygen Saturation Targeting (BOOST)-II Australia and BOOST-II UK Oxygen Trials.

Infants in the Australian and UK Benefits of Oxygen Saturation Targeting-II trials treated using revised oximeters spent more time within their planned pulse oximeter saturation target ranges than infants treated using the original oximeters (P < .001). This may explain the larger mortality difference seen with revised oximeters. If so, average treatment effects from the Neonatal Oxygen Prospective Meta-analysis trials may be underestimates.

Piloting a parent and patient decision aid to support clinical trial decision making in childhood cancer.

OBJECTIVE: Families of a child with cancer can find the decision to enrol in a clinical trial challenging and often misunderstand key concepts that underpin trials. We pilot tested "Delta," an online and booklet decision aid for parents with a child with cancer, and adolescents with cancer, deciding whether or not to enrol in a clinical trial. METHODS: We developed Delta in accordance with the International Patient Decision Aid Standards. We conducted a pre-post pilot with parents with a child, and adolescents, who had enrolled in a paediatric phase III clinical trial for newly diagnosed acute lymphoblastic leukaemia. Parents (n = 37) and adolescents (n = 3) completed a questionnaire before and after using Delta (either the website or booklet, based on their preference). RESULTS: Twenty-three parents (62.2%) and three adolescents (100%) reviewed the Delta website. Parents rated Delta as highly acceptable in regard to being clearly presented, informative, easy to read, useful, visually appealing, and easy to use. All participants reported that they would recommend Delta to others and that it would have been useful when making their decision. Parents' subjective (Mdiff= 10.8, SDdiff  = 15.69, P < .001) and objective (OR = 2.25, 95% CI, 1.66-3.04; P < .001) clinical trial knowledge increased significantly after reviewing Delta. CONCLUSIONS: To our knowledge, Delta is the first reported decision aid, available online and as a booklet, for parents and adolescents deciding whether or not to enrol in a paediatric oncology clinical trial. Our study suggests that Delta is acceptable, feasible, and potentially useful.

Epidemic surveillance in a low resource setting: lessons from an evaluation of the Solomon Islands syndromic surveillance system, 2017.

BACKGROUND: Solomon Islands is one of the least developed countries in the world. Recognising that timely detection of outbreaks is needed to enable early and effective response to disease outbreaks, the Solomon Islands government introduced a simple syndromic surveillance system in 2011. We conducted the first evaluation of the system and the first exploration of a national experience within the broader multi-country Pacific Syndromic Surveillance System to determine if it is meeting its objectives and to identify opportunities for improvement. METHODS: We used a multi-method approach involving retrospective data collection and statistical analysis, modelling, qualitative research and observational methods. RESULTS: We found that the system was well accepted, highly relied upon and designed to account for contextual limitations. We found the syndromic algorithm used to identify outbreaks was moderately sensitive, detecting 11.8% (IQR: 6.3-25.0%), 21.3% (IQR: 10.3-36.8%), 27.5% (IQR: 12.8-52.3%) and 40.5% (IQR: 13.5-65.7%) of outbreaks that caused small, moderate, large and very large increases in case presentations to health facilities, respectively. The false alert rate was 10.8% (IQR: 4.8-24.5%). Rural coverage of the system was poor. Limited workforce, surveillance resourcing and other 'upstream' health system factors constrained performance. CONCLUSIONS: The system has made a significant contribution to public health security in Solomon Islands, but remains insufficiently sensitive to detect small-moderate sized outbreaks and hence should not be relied upon as a stand-alone surveillance strategy. Rather, the system should sit within a complementary suite of early warning surveillance activities including event-based, in-patient- and laboratory-based surveillance methods. Future investments need to find a balance between actions to address the technical and systems issues that constrain performance while maintaining simplicity and hence sustainability.

The importance of censoring in competing risks analysis of the subdistribution hazard.

BACKGROUND: The analysis of time-to-event data can be complicated by competing risks, which are events that alter the probability of, or completely preclude the occurrence of an event of interest. This is distinct from censoring, which merely prevents us from observing the time at which the event of interest occurs. However, the censoring distribution plays a vital role in the proportional subdistribution hazards model, a commonly used method for regression analysis of time-to-event data in the presence of competing risks. METHODS: We present the equations that underlie the proportional subdistribution hazards model to highlight the way in which the censoring distribution is included in its estimation via risk set weights. By simulating competing risk data under a proportional subdistribution hazards model with different patterns of censoring, we examine the properties of the estimates from such a model when the censoring distribution is misspecified. We use an example from stem cell transplantation in multiple myeloma to illustrate the issue in real data. RESULTS: Models that correctly specified the censoring distribution performed better than those that did not, giving lower bias and variance in the estimate of the subdistribution hazard ratio. In particular, when the covariate of interest does not affect the censoring distribution but is used in calculating risk set weights, estimates from the model based on these weights may not reflect the correct likelihood structure and therefore may have suboptimal performance. CONCLUSIONS: The estimation of the censoring distribution can affect the accuracy and conclusions of a competing risks analysis, so it is important that this issue is considered carefully when analysing time-to-event data in the presence of competing risks.

Oxygen saturation and outcomes in preterm infants.

BACKGROUND: The clinically appropriate range for oxygen saturation in preterm infants is unknown. Previous studies have shown that infants had reduced rates of retinopathy of prematurity when lower targets of oxygen saturation were used. METHODS: In three international randomized, controlled trials, we evaluated the effects of targeting an oxygen saturation of 85 to 89%, as compared with a range of 91 to 95%, on disability-free survival at 2 years in infants born before 28 weeks' gestation. Halfway through the trials, the oximeter-calibration algorithm was revised. Recruitment was stopped early when an interim analysis showed an increased rate of death at 36 weeks in the group with a lower oxygen saturation. We analyzed pooled data from patients and now report hospital-discharge outcomes. RESULTS: A total of 2448 infants were recruited. Among the 1187 infants whose treatment used the revised oximeter-calibration algorithm, the rate of death was significantly higher in the lower-target group than in the higher-target group (23.1% vs. 15.9%; relative risk in the lower-target group, 1.45; 95% confidence interval [CI], 1.15 to 1.84; P=0.002). There was heterogeneity for mortality between the original algorithm and the revised algorithm (P=0.006) but not for other outcomes. In all 2448 infants, those in the lower-target group for oxygen saturation had a reduced rate of retinopathy of prematurity (10.6% vs. 13.5%; relative risk, 0.79; 95% CI, 0.63 to 1.00; P=0.045) and an increased rate of necrotizing enterocolitis (10.4% vs. 8.0%; relative risk, 1.31; 95% CI, 1.02 to 1.68; P=0.04). There were no significant between-group differences in rates of other outcomes or adverse events. CONCLUSIONS: Targeting an oxygen saturation below 90% with the use of current oximeters in extremely preterm infants was associated with an increased risk of death. (Funded by the Australian National Health and Medical Research Council and others; BOOST II Current Controlled Trials number, ISRCTN00842661, and Australian New Zealand Clinical Trials Registry numbers, ACTRN12605000055606 and ACTRN12605000253606.).

Estimation of adjusted rate differences using additive negative binomial regression.

Rate differences are an important effect measure in biostatistics and provide an alternative perspective to rate ratios. When the data are event counts observed during an exposure period, adjusted rate differences may be estimated using an identity-link Poisson generalised linear model, also known as additive Poisson regression. A problem with this approach is that the assumption of equality of mean and variance rarely holds in real data, which often show overdispersion. An additive negative binomial model is the natural alternative to account for this; however, standard model-fitting methods are often unable to cope with the constrained parameter space arising from the non-negativity restrictions of the additive model. In this paper, we propose a novel solution to this problem using a variant of the expectation-conditional maximisation-either algorithm. Our method provides a reliable way to fit an additive negative binomial regression model and also permits flexible generalisations using semi-parametric regression functions. We illustrate the method using a placebo-controlled clinical trial of fenofibrate treatment in patients with type II diabetes, where the outcome is the number of laser therapy courses administered to treat diabetic retinopathy. An R package is available that implements the proposed method. Copyright © 2016 John Wiley & Sons, Ltd.

Randomized controlled trial of oxygen saturation targets in very preterm infants: two year outcomes.

OBJECTIVE: To assess whether an oxygen saturation (Spo2) target of 85%-89% compared with 91%-95% reduced the incidence of the composite outcome of death or major disability at 2 years of age in infants born at <28 weeks' gestation. STUDY DESIGN: A total 340 infants were randomized to a lower or higher target from <24 hours of age until 36 weeks' gestational age. Blinding was achieved by targeting a displayed Spo2 of 88%-92% using a saturation monitor offset by ±3% within the range 85%-95%. True saturations were displayed outside this range. Follow-up at 2 years' corrected age was by pediatric examination and formal neurodevelopmental assessment. Major disability was gross motor disability, cognitive or language delay, severe hearing loss, or blindness. RESULTS: The primary outcome was known for 335 infants with 33 using surrogate language information. Targeting a lower compared with a higher Spo2 target range had no significant effect on the rate of death or major disability at 2 years' corrected age (65/167 [38.9%] vs 76/168 [45.2%]; relative risk 1.15, 95% CI 0.90-1.47) or any secondary outcomes. Death occurred in 25 (14.7%) and 27 (15.9%) of those randomized to the lower and higher target, respectively, and blindness in 0% and 0.7%. CONCLUSIONS: Although there was no benefit or harm from targeting a lower compared with a higher saturation in this trial, further information will become available from the prospectively planned meta-analysis of this and 4 other trials comprising a total of nearly 5000 infants.

The feasibility and acceptability of collecting psychosocial outcome measures embedded within a precision medicine trial for childhood cancer.

BACKGROUND: Patient-reported outcomes measures (PROMs) are increasingly being collected within cancer clinical trials, yet limited literature on the feasibility and acceptability of doing so. METHODS: We collected parent-proxy and adolescent (≥12 years old) PROMs through a longitudinal, psychosocial sub-study ('PRISM-Impact') embedded in a precision medicine trial for children with poor prognosis cancer ('PRISM'). We report on feasibility (response, participation, and attrition rates; follow-up and responding to elevated distress) and acceptability (parents' perceived benefit/burden of participation; and impact on decision to participate in PRISM) of PRISM-Impact. RESULTS: Over the reporting period, 462 families were eligible for PRISM-Impact. Family and adolescent response rates were 53% and 45%, respectively. Parents whose child had relapsed were more likely to participate in PRISM-Impact than parents whose child had not (p < 0.001). Parent and adolescent attrition rates were 30% and 56% respectively. We conducted 478 calls for intake and to follow-up on missing questionnaires, and 122 calls to respond to elevated distress. Parents reported wanting to participate in PRISM-Impact for altruistic reasons and because they valued psychosocial research. Parents reported little-to-no burden and some benefit from participating in PRISM-Impact, with little change in ratings overtime. Most parents felt that participating in PRISM-Impact did not impact their desire to participate in PRISM (72%), with some feeling more eager to participate (19%). CONCLUSIONS: PRISM-Impact response rates were comparable to other psycho-oncology studies, despite the poor prognosis population. Integration of PROMs within a paediatric oncology trial is acceptable to parents, and may provide a more comprehensive assessment of the impact of trial participation.

The lived experience of people affected by cancer: A global cross-sectional survey protocol.

A diagnosis of cancer impacts the person's physical and mental health and the psychosocial and financial health of their caregivers. While data on the experience of living with cancer is available, there is a dearth of data from persons in low- and middle-income countries (LMICs). The perspectives of other impacted individuals also remain understudied (e.g., bereaved family members), as well as the impact on survivors and their families over time. The objective of this study is to describe the psychosocial and financial impact of cancer on people diagnosed with cancer as a child, adolescent or adult, their families/caregivers, and the family members of those who have died from cancer, in high-income countries (HICs) and LMICs. This study is an observational, descriptive, quantitative study. Data will be collected anonymously via a digital online cross-sectional survey distributed globally by the World Health Organization (WHO) via the LimeSurvey software. Participants will include (a) adults aged 18+ who have been diagnosed with cancer at any age, who are currently undergoing cancer treatment or who have completed cancer treatment; (b) adult family members of individuals of any age with a cancer diagnosis, who are currently undergoing cancer treatment or who have completed cancer treatment; and (c) bereaved family members. Participants will be anonymously recruited via convenience and snowball sampling through networks of organisations related to cancer. Survey results will be analysed quantitatively per respondent group, per time from diagnosis, per disease and country. Results will be disseminated in peer-reviewed journals and at scientific conferences; a summary of results will be available on the WHO website. This study will suggest public health interventions and policy responses to support people affected by cancer and may also lead to subsequent research focusing on the needs of people affected by cancer.

When genetics and pediatric cancer collide: Understanding and optimizing families' experiences.

Background: Advances in our understanding of the genetic basis of childhood cancer, including primary central nervous system cancers, are improving the diagnosis, treatment, and clinical management of pediatric patients. To effectively translate scientific breakthroughs into enhanced clinical care, it is essential we understand and learn from the experiences of patients, families, and health professionals. Methods: This report summarizes findings from 4 Australian psychosocial substudies exploring the perspectives of patients, parents, clinicians, and scientists participating in research related to childhood cancer genetics. Specifically, these studies focus on the psychosocial impact of germline testing in children, surveillance for children with a cancer predisposition syndrome and the perspectives of healthcare professionals who deliver this testing and surveillance. Results: Data presented highlight some of the opportunities and challenges associated with the changing context of genetic predisposition testing for children, adolescents and yound adults with cancer and illustrate how embedding psychosocial data collection in clinical research can answer important questions in the field and inform the design of patient-centric models of care, resources, and workforce training. Conclusions: By embracing these perspectives, we can ensure that advances in genetic research translate into enhanced family experiences, and, ultimately, improved outcomes for children and young people with cancer, and their families.

Comparison of statistical methods for the early detection of disease outbreaks in small population settings.

Objectives: This study examines the performance of 6 aberration detection algorithms for the early detection of disease outbreaks in small population settings using syndrome-based early warning surveillance data collected by the Pacific Syndromic Surveillance System (PSSS). Although previous studies have proposed statistical methods for detecting aberrations in larger datasets, there is limited knowledge about how these perform in the presence of small numbers of background cases. Methods: To address this gap a simulation model was developed to test and compare the performance of the 6 algorithms in detecting outbreaks of different magnitudes, durations, and case distributions. Results: The study found that while the Early Aberration Reporting System-C1 algorithm developed by Hutwagner et al. outperformed others, no single approach provided reliable monitoring across all outbreak types. Furthermore, aberration detection approaches could only detect very large and acute outbreaks with any reliability. Conclusion: The findings of this study suggest that algorithm-based approaches to outbreak signal detection perform poorly when applied to settings with small numbers of background cases and should not be relied upon in these contexts. This highlights the need for alternative approaches for accurate and timely outbreak detection in small population settings, particularly those that are resource-constrained.