[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"pediatric-respiratory-distress\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:pediatric-respiratory-distress":28},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,48],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":11,"sex":17,"minAge":4,"maxAge":18,"enrollmentInfo":19,"targetDuration":4,"studyType":22,"phases":23,"briefSummary":25,"conditions":26,"keywords":29,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":36,"lastUpdatePostDateStruct":37,"startDateStruct":40,"completionDateStruct":42,"leadSponsor":44,"locationsCount":47},"100657122","niv-nava-in-infants-with-severe-bronchiolitis-a-pilot-multicenter-randomized-controlled-trial-100657122",false,"NCT07834723","NIV-NAVA in Infants With Severe Bronchiolitis, a Pilot Multicenter Randomized Controlled Trial","Non-invasive Ventilation With NAVA in Infants With Severe Bronchiolitis. A Multicenter Pilot Open Label Pragmatic Randomized Controlled Trial (NAVIGATE Trial)","NAVIGATE","Inclusion Criteria:\n\n* Infants younger than 2 years old\n* admitted to the PICU (or managed by the PICU team while awaiting PICU admission)\n* with a clinical diagnosis of bronchiolitis according to the treating team\n* requiring NIV support higher than CPAP\u002FHFNC according to the treating team, a criteria present for less than 8 hours.\n\nExclusion Criteria:\n\n* imminent intubation criteria\n* refusal by the physician in charge\n* chronic home ventilation\n* hemodynamic instability requiring vasopressors\n* contraindication to NIV or to gastric tube insertion\n* patients in whom a limitation of life-support treatment is considered","ALL","2 Years",{"count":20,"type":21},90,"ESTIMATED","INTERVENTIONAL",[24],"NA","Severe bronchiolitis is a common lung infection in babies that can cause serious breathing problems and often leads to hospitalization in pediatric intensive care units (PICUs). Many infants need special breathing support, usually through non-invasive methods like high-flow oxygen or continuous airway pressure. However, these methods don't always work, and about one in four infants end up needing a breathing tube (intubation), which comes with more risks and a longer recovery.\n\nA newer breathing support method called NIV-NAVA (non-invasive ventilation with neurally adjusted ventilatory assist) may help. It uses signals from the baby's diaphragm to adjust the support in real-time, making breathing easier and possibly reducing the need for intubation. While early results are promising, no high-quality clinical trial has yet tested if NIV-NAVA is better than standard non-invasive support.\n\nThis study is a pilot trial - a small-scale version of a larger future study - happening in four PICUs across Canada. It will include 90 babies under 2 years old with severe bronchiolitis who need more support than standard methods provide. Half will receive NIV-NAVA, and half will receive the usual care.\n\nThe main goal of this pilot is to check if a larger trial is doable: Can we recruit enough babies? Can the PICU teams stick to the treatment plan? Can we collect the right information? The full study will eventually look at whether NIV-NAVA really lowers the number of babies who need intubation and improves recovery.\n\nThis research is led by a team of pediatric experts and could pave the way for better care for thousands of infants with severe breathing problems.",[27,28],"Severe Bronchiolitis","Pediatric Respiratory Distress",[30,31,32,33,34],"bronchiolitis","pediatric intensive care unit","noninvasive ventilation","NAVA","intubation","NOT_YET_RECRUITING","2026-09-16",{"date":38,"type":39},"2026-09-22","ACTUAL",{"date":41,"type":21},"2026-10",{"date":43,"type":21},"2027-08",{"name":45,"class":46},"St. Justine's Hospital","OTHER",4,{"id":49,"slug":50,"hasResults":11,"nctId":51,"briefTitle":52,"officialTitle":52,"acronym":4,"eligibilityCriteria":53,"healthyVolunteers":11,"sex":17,"minAge":54,"maxAge":55,"enrollmentInfo":56,"targetDuration":4,"studyType":58,"phases":4,"briefSummary":59,"conditions":60,"keywords":4,"overallStatus":61,"whyStopped":4,"lastUpdateSubmitDate":62,"lastUpdatePostDateStruct":63,"startDateStruct":65,"completionDateStruct":67,"leadSponsor":69,"locationsCount":71},"100621438","development-of-an-ai-assessment-system-for-pediatric-respiratory-distress--a-prospective-study-100621438","NCT07370623","Development of an AI Assessment System for Pediatric Respiratory Distress : A Prospective Study","Inclusion Criteria:\n\n* Pediatric patients aged 0 to 12 years who present to participating pediatric emergency departments.\n* Patients for whom clinical data, including basic demographic characteristics (e.g., age, body weight), severity at presentation (e.g., KTAS level), vital signs, emergency department management and outcomes, as well as visual respiratory data, are available during emergency care.\n\nExclusion Criteria:\n\n* Patients outside the specified age range.\n* Patients with insufficient or poor-quality clinical or visual respiratory data.\n* Patients whose data cannot be used due to withdrawal of consent or regulatory restrictions.","0 Years","12 Years",{"count":57,"type":21},2200,"OBSERVATIONAL","This is a multicenter, prospective observational study designed to collect clinical data for the development of a vision-language model-based artificial intelligence system for automated assessment of pediatric respiratory patterns.\n\nThe study enrolls pediatric patients aged 0 to 12 years who present to the pediatric emergency departments of participating institutions. Clinical and visual respiratory data are collected along with baseline clinical characteristics, including sex, age, body weight, height, presenting symptoms recorded at emergency department arrival, initial vital signs (body temperature, pulse rate, respiratory rate, blood pressure, and oxygen saturation), severity at presentation assessed by the Korean Triage and Acuity Scale (KTAS), emergency department management and outcomes such as hospital admission or discharge, and other relevant clinical information.\n\nThese data are used for cohort characterization and for the development and evaluation of an AI-based system that aims to automatically analyze pediatric respiratory patterns and support objective respiratory assessment in pediatric emergency care.",[28],"RECRUITING","2026-03-18",{"date":64,"type":39},"2026-03-20",{"date":66,"type":39},"2025-10-28",{"date":68,"type":21},"2027-12",{"name":70,"class":46},"Samsung Medical Center",3]