[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"weaning-from-mechanical-ventilation-in-care-unit\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:weaning-from-mechanical-ventilation-in-care-unit":22},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,4,0,[8,36,68,102],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":13,"acronym":4,"eligibilityCriteria":14,"healthyVolunteers":11,"sex":15,"minAge":4,"maxAge":4,"enrollmentInfo":16,"targetDuration":4,"studyType":19,"phases":4,"briefSummary":20,"conditions":21,"keywords":4,"overallStatus":23,"whyStopped":4,"lastUpdateSubmitDate":24,"lastUpdatePostDateStruct":25,"startDateStruct":28,"completionDateStruct":30,"leadSponsor":32,"locationsCount":35},"100507393","prediction-of-the-spontaneous-breathing-test-success-using-biosignal-and-biomarker-in-critical-care-unit-by-a-machine-learning-approach-100507393",false,"NCT05886803","Prediction of the Spontaneous Breathing Test Success Using Biosignal and Biomarker in Critical Care Unit by a Machine Learning Approach","Inclusion Criteria:\n\n* Computerized health report (CHR)\n* Spontaneous breathing test should have been performed\n\nExclusion Criteria:\n\n* Spontaneous breathing test has not been performed,\n* Biosignal (cardiac, respiratory) are not registered in the CHR\n* Patient died before the spontaneous breathing test\n* Opposition to the study has been expressed.","ALL",{"count":17,"type":18},500,"ESTIMATED","OBSERVATIONAL","Context:\n\nSeveral authors have been interested in applying Artificial Intelligence (AI) to medicine, using various Machine Learning (ML) techniques: managing septic shock, predicting renal failure... \\[1, 2\\] AI has an important place in decision support for clinicians \\[3\\]. The weaning period is a really important time in the management of a patient on mechanical ventilation and can take up to half of the time spent in intensive care unit. The first weaning attempt is unsuccessful in 20% of patients However, mortality can be as high as 38% in patients with the most difficult weaning \\[4\\]. Only a few studies have looked at the application of machine learning in this area, and only one has looked at the use of biosignals (cardiac rate, ECG, ventilatory parameters…) \\[5-7\\]. To improve morbidity, mortality and reduce length of stay, it is essential to be able to predict the success of the spontaneous breathing test and extubation.\n\nInvestigators propose to develop a predictive algorithm for the success of a ventilatory weaning test based on biosignal records and others features.\n\nMethods:\n\nIt is a critical care, oligo-centric and retrospective study the investigators included biosignal variables extracted from the electronic medical record, such as respiratory (RR, minute volume...), cardiac (systolic pressure, heart rate...), ventilator parameters and other discrete variables (age, comorbidity...). Most biosignal variables are minute-by-minute records. Recording starts 48 hours before the test and stops at the start of the weaning test. The investigators extracted features from these records, combined them with other biomarkers, and applied several machine learning algorithms: Logistic Regression, Random Forest Classifier, Support Vector Classifier (SVC), XGBoost, and Light Gradient Boosting Method (LGBM)…",[22],"Weaning From Mechanical Ventilation in Care Unit","RECRUITING","2026-06-25",{"date":26,"type":27},"2026-06-29","ACTUAL",{"date":29,"type":27},"2023-01-01",{"date":31,"type":18},"2027-06-25",{"name":33,"class":34},"Centre Hospitalier Universitaire de Nice","OTHER",1,{"id":37,"slug":38,"hasResults":11,"nctId":39,"briefTitle":40,"officialTitle":41,"acronym":4,"eligibilityCriteria":42,"healthyVolunteers":11,"sex":15,"minAge":43,"maxAge":4,"enrollmentInfo":44,"targetDuration":4,"studyType":19,"phases":4,"briefSummary":46,"conditions":47,"keywords":51,"overallStatus":57,"whyStopped":4,"lastUpdateSubmitDate":58,"lastUpdatePostDateStruct":59,"startDateStruct":61,"completionDateStruct":63,"leadSponsor":65,"locationsCount":35},"100624125","ultrasound-evaluation-of-respiratory-muscles-during-mechanical-ventilation-weaning-in-icu-patients-100624125","NCT07405567","Ultrasound Evaluation of Respiratory Muscles During Mechanical Ventilation Weaning in ICU Patients","Ultrasonographic Evaluation of Diaphragm and Accessory Respiratory Muscles During Weaning in ICU Patients With Pneumonia","Inclusion Criteria:\n\n* Age ≥ 18 years\n* Admission to the intensive care unit with a diagnosis of pneumonia\n* Receiving invasive mechanical ventilation via endotracheal intubation\n* Expected to undergo a weaning process from mechanical ventilation\n* Written informed consent obtained from the patient or legally authorized representative\n\nExclusion Criteria:\n\n* Known neuromuscular disease affecting respiratory muscles\n* High cervical spinal cord injury\n* History of major neck, thoracic, or diaphragmatic surgery\n* Acute thoracic trauma or pneumothorax\n* Central nervous system pathology affecting respiratory drive\n* Continuous neuromuscular blocking agent use\n* Pregnancy","18 Years",{"count":45,"type":18},150,"Patients with pneumonia who require invasive mechanical ventilation in the intensive care unit (ICU) often experience difficulties during the process of being separated from the breathing machine (weaning). Failure of weaning is associated with longer ventilation duration, prolonged ICU stay, and increased risk of complications and death. Therefore, simple and reliable bedside tools are needed to better understand respiratory muscle function and to help predict weaning outcomes.\n\nThis prospective, observational, single-center study aims to evaluate respiratory muscle function using bedside ultrasound in adult ICU patients with pneumonia receiving invasive mechanical ventilation. The diaphragm, parasternal intercostal muscles, and anterior scalene muscles will be assessed using ultrasound during the weaning process. Measurements will be performed serially, starting from the first day when patients demonstrate meaningful spontaneous breathing effort and continuing until successful extubation, tracheostomy, or ICU mortality.\n\nUltrasound measurements of muscle thickness and thickening fraction will be analyzed in relation to weaning outcomes. In addition, ventilator parameters and commonly used weaning indices will be recorded at the time of each ultrasound assessment. The findings of this study are expected to improve understanding of respiratory muscle involvement during weaning and may contribute to earlier identification of patients at risk of weaning failure.",[48,49,22,50],"Pneumonia","Invasive Mechanical Ventilation","Respiratory Muscle Dysfunction",[52,53,54,55,56],"Mechanical Ventilation Weaning","Respiratory Muscle Ultrasound","Diaphragm Ultrasound","Parasternal Intercostal Muscle","Anterior Scalene Muscle","NOT_YET_RECRUITING","2026-02-05",{"date":60,"type":27},"2026-02-12",{"date":62,"type":18},"2026-02-15",{"date":64,"type":18},"2027-02-15",{"name":66,"class":67},"Bursa Sevket Yilmaz Training and Research Hospital","OTHER_GOV",{"id":69,"slug":70,"hasResults":11,"nctId":71,"briefTitle":72,"officialTitle":73,"acronym":4,"eligibilityCriteria":74,"healthyVolunteers":11,"sex":15,"minAge":43,"maxAge":4,"enrollmentInfo":75,"targetDuration":77,"studyType":19,"phases":4,"briefSummary":78,"conditions":79,"keywords":85,"overallStatus":57,"whyStopped":4,"lastUpdateSubmitDate":93,"lastUpdatePostDateStruct":94,"startDateStruct":96,"completionDateStruct":98,"leadSponsor":100,"locationsCount":4},"100602202","comparison-of-diaphragm-ultrasound-and-rsbi-for-predicting-weaning-success-in-mechanically-ventilated-icu-patients-100602202","NCT07120438","Comparison of Diaphragm Ultrasound and RSBI for Predicting Weaning Success in Mechanically Ventilated ICU Patients","Comparison Between Diaphragmatic Ultrasound and Rapid Shallow Breathing Index (RSBI) in Predicting Weaning Success in Patients on Mechanical Ventilation for More Than 48 Hours in the ICU of Dr. Sardjito Hospital, Yogyakarta","Inclusion Criteria:\n\n1. Patients who have been on mechanical ventilation for more than 48 hours\n2. Adult patients aged ≥18 years\n3. Patients who meet the criteria for hemodynamic stability for weaning\n4. Patients or their families have provided written informed consent\n5. Patients with FiO₂ \\\u003C 50%, PEEP level \\\u003C 5 cm H₂O, respiratory rate \\\u003C 30 breaths per minute, PaO₂\u002FFiO₂ \\> 200, and GCS \\> 13\n6. Patients who have successfully completed the Spontaneous Awakening Trial (SAT) and Spontaneous Breathing Trial (SBT)\n\nExclusion Criteria:\n\n1. Patients with neuromuscular disorders, anatomical abnormalities of the diaphragm, or diaphragmatic palsy\n2. Patients with a history of severe thoracic trauma affecting diaphragm function on one or both sides\n3. Pregnancy",{"count":76,"type":18},55,"2 Days","The goal of this observational study is to evaluate the predictive value of diaphragmatic ultrasound compared to the Rapid Shallow Breathing Index (RSBI) in determining weaning success among mechanically ventilated patients in the ICU for more than 48 hours.\n\nThe main question it aims to answer is:\n\nWhich is more effective in predicting weaning success: diaphragmatic ultrasound (including Diaphragmatic Excursion \\[DE\\] and Diaphragm Thickening Fraction \\[DTF\\]) or RSBI, in patients ventilated \\>48 hours in the ICU of Dr. Sardjito General Hospital, Yogyakarta?\n\nParticipants will be adult ICU patients who are undergoing weaning from mechanical ventilation after more than 48 hours. Before extubation, each participant will undergo diaphragmatic ultrasound assessment to measure DE and DTF, along with RSBI measurement. The predictive accuracy of these parameters will be evaluated by comparing them with the actual weaning outcomes.\n\nSecondary objectives include:\n\n1. Assessing whether diaphragmatic ultrasound is associated with a higher weaning success rate than RSBI.\n2. Evaluating the correlation between DE values and successful weaning.\n3. Determining the optimal cutoff values of DE and DTF as predictors of weaning failure.\n4. Analyzing the incidence of weaning failure in patients who do not meet optimal diaphragm function criteria.\n5. Identifying DE and DTF thresholds that may help reduce the risk of reintubation.",[80,81,82,83,22,84],"Ventilator Weaning","Mechanical Ventilation","Respiratory Insufficiency Requiring Mechanical Ventilation","Weaning From Mechanical Ventilation","Intensive Care Unit Patients",[86,87,88,89,90,91,92],"Diaphragmatic Ultrasound","Rapid Shallow Breathing Index","Diaphragm Thickening Fraction","Diaphragm Excursion","Weaning Prediction","ICU","Weaning Failure","2025-08-06",{"date":95,"type":27},"2025-08-13",{"date":97,"type":18},"2025-08",{"date":99,"type":18},"2026-03",{"name":101,"class":34},"Gadjah Mada University",{"id":103,"slug":104,"hasResults":11,"nctId":105,"briefTitle":106,"officialTitle":106,"acronym":107,"eligibilityCriteria":108,"healthyVolunteers":11,"sex":15,"minAge":43,"maxAge":4,"enrollmentInfo":109,"targetDuration":4,"studyType":19,"phases":4,"briefSummary":111,"conditions":112,"keywords":116,"overallStatus":23,"whyStopped":4,"lastUpdateSubmitDate":121,"lastUpdatePostDateStruct":122,"startDateStruct":124,"completionDateStruct":126,"leadSponsor":128,"locationsCount":35},"100582749","prevalence-determinants-and-consequences-of-dyspnea-during-weaning-in-critically-ill-obese-patients-100582749","NCT06867354","Prevalence, Determinants and Consequences of Dyspnea During Weaning in Critically Ill Obese Patients","WEAN OBESE","Inclusion Criteria:\n\n* Patients placed on mechanical ventilation for at least 48 hours\n* On spontaneous ventilation mode with inspiratory support (only possible ventilation mode during ventilation weaning) allowing a tidal volume \\> 6 mL\u002Fkg and a positive end-expiratory pressure set by the attending physician between 5 and 8 cmH2O\n* Decision by the attending physician to perform a spontaneous breathing trial (SBT) after verifying the prerequisites for weaning: resolution of the acute phase of the illness for which the patient is placed on invasive mechanical ventilation, low bronchial congestion, adequate cough, adequate oxygenation defined by SpO2 \\> 90% with FiO2 ≤ 40% and PEEP ≤ 8 cmH2O, respiratory rate ≤ 40 breaths\u002Fmin, Ramsay sedation score \\\u003C 4, and stable cardiovascular state (heart rate ≤ 120 beats\u002Fmin, systolic blood pressure ≤ 180 mmHg, and no or minimal vasopressors \\[norepinephrine \\\u003C 5 μg\u002Fkg\u002Fmin\\])\n* After information,no opposition from the patient or the relative (if the patient is unable to express his non opposition) to participating in the research\n* Person affiliated with a social security regime or eligible\n* Patient with a BMI \\> 30 kg\u002Fm² for those included in the case group (obesity)\n\nExclusion Criteria:\n\n* Under 18 years old\n* Pregnant or breastfeeding women\n* Patients for whom weaning is impossible (pre-existing neuromuscular disorders, cervical spinal cord lesions)\n* Patients for whom repeated dyspnea assessment is likely to be difficult (known history of cognitive or psychiatric disorders, delirium, Richmond Agitation-Sedation Scale score less than -2 or greater than 2)\n* Patients under legal protection measures (guardianship, curatorship)",{"count":110,"type":18},80,"ICU patients encounter numerous discomforts, with dyspnea (the sensation of breathlessness) being among the most distressing and impactful. Unlike pain, dyspnea in ICU settings has historically received limited attention, despite its severe psychological impact. ICU clinicians often use assessment tools like the simple numerical dyspnea scale (Dyspnea-VAS) and the Respiratory Distress Observation Scale (MV-RDOS) to measure dyspnea. These scales are also utilized during the weaning process, an essential phase when patients attempt to breathe independently without ventilator assistance. Weaning is crucial for ICU patients, as delayed or unsuccessful extubation increases the risk of complications and mortality.\n\nObese ICU patients, often admitted due to respiratory failure, present unique challenges due to physiological changes in the respiratory system, such as reduced functional residual capacity and decreased lung compliance. These factors contribute to an increased likelihood of dyspnea and weaning complications. Approximately 50% of obese ICU patients require mechanical ventilation, and once ventilated, obese patients exhibit an elevated risk for dyspnea and ventilator weaning failure.\n\nUnderstanding the prevalence, causes, and consequences of dyspnea and failure in weaning process in obese ICU patients is critical. In this study, the aim is to compare obese patients with non-obese patients in terms of dyspnea prevalence, causes and consequences as weaning failure prevalence, causes and consequences.",[113,114,22,115],"Obesity","Obesity With Complications","Dyspnea",[117,115,81,118,113,119,120],"Intensive Care Unit","Ventilatory Weaning","Spontaneous Ventilation Test","Mortality","2025-06-04",{"date":123,"type":27},"2025-06-05",{"date":125,"type":27},"2025-03-21",{"date":127,"type":18},"2027-05",{"name":129,"class":34},"Assistance Publique - Hôpitaux de Paris"]