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BACKGROUND: Approximately 90% of children with cancer live in low-income and middle-income countries (LMICs), where 5-year survival is lower than 20%. Treatment-related mortality in high-income countries is approximately 3-5%; however, in LMICs, treatment-related mortality has been reported in up to 45% of children with cancer. This study aimed to systematically explore the burden of treatment-related mortality in children with cancer in LMICs and to explore the association between country income level and treatment-related mortality. METHODS: For this systematic review and meta-analysis we identified articles published between Jan 1, 2010, and June 22, 2021, describing treatment-related mortality in paediatric patients (aged 0-21 years) with cancer in LMICs. We searched PubMed, Trip, Web of Science, Embase, and the WHO Global Metric Index databases. The search was limited to full-text articles and excluded case reports (<10 patients) and haematopoietic stem-cell transplantation recipients. Two reviewers independently screened studies for eligibility, extracted data from included publications, and evaluated data quality. Random and mixed-effects models were used to estimate treatment-related mortality burden and trends. The Cochran-Q statistic was used to assess heterogeneity between studies. This study is registered on PROSPERO (CRD42021264849). FINDINGS: Of 13 269 identified abstracts, 501 studies representing 68 351 paediatric patients with cancer were included. The treatment-related mortality estimate was 6·82% (95% CI 5·99-7·64), accounting for 30·9% of overall mortality (4437 of 14 358 deaths). Treatment-related mortality was inversely related to country income. Treatment-related mortality was 14·19% (95% CI 9·65-18·73) in low-income countries, 9·21% (7·93-10·49) in lower-middle-income countries, and 4·47% (3·42-5·53) in upper-middle-income countries (Cochran-Q 42·39, p<0·0001). In upper-middle-income countries, the incidence of treatment-related mortality decreased over time (slope -0·002, p=0·0028); however, outcomes remained unchanged in low-income (p=0·21) and lower-middle-income countries (p=0·16). INTERPRETATION: Approximately one in 15 children receiving cancer treatment in LMICs die from treatment-related complications. Although treatment-related mortality has decreased in upper-middle-income countries over time, it remains unchanged in LMICs. There is an urgent need for targeted supportive care interventions to reduce global disparities in childhood cancer survival. FUNDING: American Lebanese Syrian Associated Charities and National Cancer Institute.
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Países en Desarrollo , Neoplasias , Humanos , Niño , Renta , Pobreza , Neoplasias/terapiaRESUMEN
PROACTIVE (PediatRic Oncology cApaCity Assessment Tool for IntensiVe CarE) is a consensus-derived tool that evaluates pediatric onco-critical care (POCC) services and identifies gaps amenable to improvement. King Hussein Cancer Center (KHCC), an oncology hospital in Jordan, completed PROACTIVE in 2021 and 2022. We evaluated PROACTIVE's ability to identify gaps and improve POCC services at KHCC by analyzing score changes and interviewing site leaders to understand mechanisms of improvement. Results identified three types of outcomes: direct (e.g., improved multidisciplinary communication), indirect (e.g., guidelines implementation), and other outcomes unrelated to PROACTIVE (e.g., funding mechanisms). PROACTIVE can assist institutions strengthen and monitor POCC services over time.
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Neoplasias , Humanos , Niño , Jordania , Neoplasias/terapia , Oncología Médica , HospitalesRESUMEN
BACKGROUND: Pediatric oncology patients have increased risk for critical illness; outcomes are well described in high-income countries (HICs); however, data is limited for low- and middle-income countries (LMICs). METHODS: We systematically searched PubMed, EMBASE, Web of Science, CINAHL and Global Health databases for articles in 6 languages describing mortality in children with cancer admitted to intensive care units (ICUs) in LMICs. Two investigators independently assessed eligibility, data quality, and extracted data. We pooled ICU mortality estimates using random effect models. RESULTS: Of 3641 studies identified, 22 studies were included, covering 4803 ICU admissions. Overall pooled mortality was 30.3â¯% [95â¯% Confidence-interval (CI) 21.7-40.6â¯%]. Mechanical ventilation [odds ratio (OR) 12.2, 95â¯%CI:6.2-24.0, p-value<0.001] and vasoactive infusions [OR 6.3 95â¯%CI:3.3-11.9, p-value<0.001] were associated with ICU mortality. CONCLUSIONS: ICU mortality among pediatric oncology patients in LMICs is similar to that in HICs, however, this review likely underestimates true mortality due to underrepresentation of studies from low-income countries.
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The true global burden of paediatric critical illness remains unknown. Studies on children with life-threatening conditions are hindered by the absence of a common definition for acute paediatric critical illness (DEFCRIT) that outlines components and attributes of critical illness and does not depend on local capacity to provide critical care. We present an evidence-informed consensus definition and framework for acute paediatric critical illness. DEFCRIT was developed following a scoping review of 29 studies and key concepts identified by an interdisciplinary, international core expert panel (n=24). A modified Delphi process was then done with a panel of multidisciplinary health-care global experts (n=109) until consensus was reached on eight essential attributes and 28 statements as the basis of DEFCRIT. Consensus was reached in two Delphi rounds with an expert retention rate of 89%. The final consensus definition for acute paediatric critical illness is: an infant, child, or adolescent with an illness, injury, or post-operative state that increases the risk for or results in acute physiological instability (abnormal physiological parameters or vital organ dysfunction or failure) or a clinical support requirement (such as frequent or continuous monitoring or time-sensitive interventions) to prevent further deterioration or death. The proposed definition and framework provide the conceptual clarity needed for a unified approach for global research across resource-variable settings. Future work will centre on validating DEFCRIT and determining high priority measures and guidelines for data collection and analysis that will promote its use in research.
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Cuidados Críticos , Enfermedad Crítica , Humanos , Niño , Adolescente , Consenso , Enfermedad Crítica/terapia , Técnica Delphi , Recolección de DatosRESUMEN
OBJECTIVES: To use supervised and unsupervised statistical methodology to determine risk factors associated with mortality in critically ill pediatric oncology patients to identify patient phenotypes of interest for future prospective study. DESIGN: This retrospective cohort study included nonsurgical pediatric critical care admissions from January 2017 to December 2018. We determined the prevalence of multiple organ failure (MOF), ICU mortality, and associated factors. Consensus k-means clustering analysis was performed using 35 bedside admission variables for early, onco-critical care phenotype development. SETTING: Single critical care unit in a subspeciality pediatric hospital. INTERVENTION: None. PATIENTS: There were 364 critical care admissions in 324 patients with underlying malignancy, hematopoietic cell transplant, or immunodeficiency reviewed. MEASUREMENTS: Prevalence of multiple organ failure, ICU mortality, determination of early onco-critical care phenotypes. MAIN RESULTS: ICU mortality was 5.2% and was increased in those with MOF (18.4% MOF, 1.7% single organ failure [SOF], 0.6% no organ failure; p ≤ 0.0001). Prevalence of MOF was 23.9%. Significantly increased ICU mortality risk was associated with day 1 MOF (hazards ratio [HR] 2.27; 95% CI, 1.10-6.82; p = 0.03), MOF during ICU admission (HR 4.16; 95% CI, 1.09-15.86; p = 0.037), and with invasive mechanical ventilation requirement (IMV; HR 5.12; 95% CI, 1.31-19.94; p = 0.018). Four phenotypes were derived (PedOnc1-4). PedOnc1 and 2 represented patient groups with low mortality and SOF. PedOnc3 was enriched in patients with sepsis and MOF with mortality associated with liver and renal dysfunction. PedOnc4 had the highest frequency of ICU mortality and MOF characterized by acute respiratory failure requiring invasive mechanical ventilation at admission with neurologic dysfunction and/or severe sepsis. Notably, most of the mortality in PedOnc4 was early (i.e., within 72 hr of ICU admission). CONCLUSIONS: Mortality was lower than previously reported in critically ill pediatric oncology patients and was associated with MOF and IMV. These findings were further validated and expanded by the four derived nonsynonymous computable phenotypes. Of particular interest for future prospective validation and correlative biological study was the PedOnc4 phenotype, which was composed of patients with hypoxic respiratory failure requiring IMV with sepsis and/or neurologic dysfunction at ICU admission.
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BACKGROUND: Nearly 90% children with cancer reside in low- and middle-income countries, which face multiple challenges delivering high-quality pediatric onco-critical care (POCC). We recently identified POCC quality and capacity indicators for PROACTIVE (PediatRic Oncology cApaCity assessment Tool for IntensiVe carE), a tool that evaluates strengths and limitations in POCC services. This study describes pilot testing of PROACTIVE, development of center-specific reports, and identification of common POCC challenges. METHODS: The original 119 consensus-derived PROACTIVE indicators were converted into 182 questions divided between 2 electronic surveys for intensivists and oncologists managing critically ill pediatric cancer patients. Alpha-testing was conducted to confirm face-validity with four pediatric intensivists. Eleven centers representing diverse geographic regions, income levels, and POCC services conducted beta-testing to evaluate usability, feasibility, and applicability of PROACTIVE. Centers' responses were scored and indicators with mean scores ≤75% in availability/performance were classified as common POCC challenges. RESULTS: Alpha-testing ensured face-validity and beta-testing demonstrated feasibility and usability of PROACTIVE (October 2020-June 2021). Twenty-two surveys (response rate 99.4%) were used to develop center-specific reports. Adjustments to PROACTIVE were made based on focus group feedback and surveys, resulting in 200 questions. Aggregated data across centers identified common POCC challenges: (1) lack of pediatric intensivists, (2) absence of abstinence and withdrawal symptoms monitoring, (3) shortage of supportive care resources, and (4) limited POCC training for physicians and nurses. CONCLUSIONS: PROACTIVE is a feasible and contextually appropriate tool to help clinicians and organizations identify challenges in POCC services across a wide range of resource-levels. Widespread use of PROACTIVE can help prioritize and develop tailored interventions to strengthen POCC services and outcomes globally.
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Neoplasias , Configuración de Recursos Limitados , Humanos , Niño , Neoplasias/diagnóstico , Neoplasias/terapia , Calidad de la Atención de Salud , Encuestas y Cuestionarios , Cuidados CríticosRESUMEN
Background: As implementation science in global health continues to evolve, there is a need for valid and reliable measures that consider diverse linguistic and cultural contexts. A standardized, reproducible process for multilingual measure development may improve accessibility and validity by participants in global health settings. To address this need, we propose a rigorous methodology for multilingual measurement development. We use the example of a novel measure of multi-professional team communication quality, a determinant of implementation efforts. Methods: The development and translation of this novel bilingual measure is comprised of seven steps. In this paper, we describe a measure developed in English and Spanish, however, this approach is not language specific. Participants are engaged throughout the process: first, an interprofessional panel of experts and second, through cognitive interviewing for measure refinement. The steps of measure development included: (1) literature review to identify previous measures of team communication; (2) development of an initial measure by the expert panel; (3) cognitive interviewing in a phased approach with the first language (English); (4): formal, forward-backward translation process with attention to colloquialisms and regional differences in languages; (5) cognitive interviewing repeated in the second language (Spanish); (6) language synthesis to refine both instruments and unify feedback; and (7) final review of the refined measure by the expert panel. Results: A draft measure to assess quality of multi-professional team communication was developed in Spanish and English, consisting of 52 questions in 7 domains. This measure is now ready for psychometric testing. Conclusions: This seven-step, rigorous process of multilingual measure development can be used in a variety of linguistic and resource settings. This method ensures development of valid and reliable tools to collect data from a wide range of participants, including those who have historically been excluded due to language barriers. Use of this method will increase both rigor and accessibility of measurement in implementation science and advance equity in research and practice.
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Background: High-quality clinical care requires excellent interdisciplinary communication, especially during emergencies, and no tools exist to evaluate communication in critical care. We describe the development of a pragmatic tool focusing on interdisciplinary communication during patient deterioration (CritCom). Methods: The preliminary CritCom tool was developed after a literature review and consultation with a multidisciplinary panel of global experts in communication, pediatric oncology, and critical care to review the domains and establish content validity iteratively. Face and linguistic validity were established through cognitive interviews, translation, and linguistic synthesis. We conducted a pilot study among an international group of clinicians to establish reliability and usability. Results: After reviewing 105 potential survey items, we identified 52 items across seven domains. These were refined through cognitive interviews with 36 clinicians from 15 countries. CritCom was piloted with 433 clinicians (58% nurses, 36% physicians, and 6% other) from 42 hospitals in 22 countries. Psychometric testing guided the refinement of the items for the final tool. CritCom comprised six domains with five items each (30 total). The final tool has excellent reliability (Cronbach's alpha 0.81-0.86), usability (93% agree or strongly agree that the tool is easy to use), and similar performance between English and Spanish tools. Confirmatory factor analysis was used to establish the final 6-domain structure. Conclusions: CritCom is a reliable and pragmatic bilingual tool to assess the quality of interdisciplinary communication around patient deterioration for children in diverse resource levels globally. Critcom results can be used to design and evaluate interventions to improve team communication.
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In rare instances, severe respiratory syncytial virus (RSV) infections of the lower respiratory tract can cause life-threatening extrapulmonary complications. In this report, we describe 4 previously healthy, term and late-preterm infants admitted to the PICU with respiratory failure due to RSV bronchiolitis who developed necrotizing enterocolitis shortly after admission. All infants exhibited progressive abdominal distention, had typical radiographic findings, and developed simple or complex ascites. In addition to being managed with broad-spectrum antibiotics and bowel rest, 1 infant was treated with colon resection and ileostomy, 2 had peritoneal drainage procedures for ascites, and one of those later developed small bowel strictures treated with delayed resection and anastomosis. Three were discharged from the hospital without further complications; 1 died of septic shock. In this case series, we describe development of necrotizing enterocolitis in otherwise healthy neonates with severe RSV disease in the absence of traditional risk factors. We hypothesize that a dysregulated proinflammatory response associated with severe RSV disease may alter intestinal blood flow and compromise barriers to bacterial translocation. Enteral feeding intolerance, septic ileus, and/or complex ascites may represent important clinical corollaries in these patients.
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Bronquiolitis Viral/complicaciones , Enterocolitis Necrotizante/etiología , Enfermedades Raras/etiología , Infecciones por Virus Sincitial Respiratorio/complicaciones , Ascitis/etiología , Enterocolitis Necrotizante/diagnóstico , Enterocolitis Necrotizante/terapia , Resultado Fatal , Femenino , Humanos , Lactante , Recién Nacido , MasculinoRESUMEN
BACKGROUND: Hospitalized pediatric hematology-oncology (PHO) patients are at high risk for critical illness, especially in resource-limited settings. Unfortunately, there are no established quality indicators to guide institutional improvement for these patients. The objective of this study was to identify quality indicators to include in PROACTIVE (PediatRic Oncology cApaCity assessment Tool for IntensiVe carE), an assessment tool to evaluate the capacity and quality of pediatric critical care services offered to PHO patients. METHODS: A comprehensive literature review identified relevant indicators in the areas of structure, performance, and outcomes. An international focus group sorted potential indicators using the framework of domains and subdomains. A modified, three-round Delphi was conducted among 36 international experts with diverse experience in PHO and critical care in high-resource and resource-limited settings. Quality indicators were ranked on relevance and actionability via electronically distributed surveys. RESULTS: PROACTIVE contains 119 indicators among eight domains and 22 subdomains, with high-median importance (≥7) in both relevance and actionability, and ≥80% evaluator agreement. The top five indicators were: (a) A designated PICU area; (b) Availability of a pediatric intensivist; (c) A PHO physician as part of the primary team caring for critically ill PHO patients; (d) Trained nursing staff in pediatric critical care; and (e) Timely PICU transfer of hospitalized PHO patients requiring escalation of care. CONCLUSIONS: PROACTIVE is a consensus-derived tool to assess the capacity and quality of pediatric onco-critical care in resource-limited settings. Future endeavors include validation of PROACTIVE by correlating the proposed indicators to clinical outcomes and its implementation to identify service delivery gaps amenable to improvement.