[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"mortality-prediction\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:mortality-prediction":29},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,6,0,[8,48,78,107,128,155],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":19,"targetDuration":22,"studyType":23,"phases":4,"briefSummary":24,"conditions":25,"keywords":31,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":36,"lastUpdatePostDateStruct":37,"startDateStruct":40,"completionDateStruct":42,"leadSponsor":44,"locationsCount":47},"100642241","bellricu-project-precision-medicine-in-respiratory-intermediate-care-units-100642241",false,"NCT07644637","BELLRICU PROJECT: Precision Medicine in Respiratory Intermediate Care Units","BELLRICU PROJECT: Precision Medicine in Respiratory Intermediate Care Units. Improvement of Risk Stratification, Mortality Prediction and clínical Decision-making (UCRI-CAT Team).","BELLRICU","Inclusion Criteria:\n\n* Acute or acute-on-chronic respiratory failure requiring non-invasive respiratory suport (NIRS) (Non-invasive ventilation or high flow nasal cannulae)\n* Neuromuscular patients requiring tracheostomy and ventilation invasive adaptation\n* Life-treating hemoptysis requiring emergent or urgent bronchial embolization (\\\u003C24 hours)\n* 4\\. Pulmonary embolism of high-intermediate risk requiring monitoring during first 24-48h of hospital admission on anticoagulation\n* Patients derived from Intensive care unit (ICU) requiring intermediate Medical step before transferred safely to conventional ward (complex respiratory weaning from invasive ventilation, high-dependency nurse cures due to limiting post-critical myopathy\n* Patients with thoracic cancer (onset or complication) of vital risk (major hemoptysis, massive pleural effusion, pericardial effusion on pre or cardiac arrest, pneumonitis related to oncological treatment with severe acute respiratory failure requiring NIRS, cava vein syndrome requiring emergent prothesis, etc...)\n* Respiratory complications after a complex interventional bronchoscopy requiring NIRS and\u002For strict monitoring: after significant bleeding, bronchial laceration, severe bronchospasm, non-controlled arrhythmia\n* Respiratory or\u002Fand cardiac intercurrent instability in a patient initially admitted to respiratory conventional ward.\n\nExclusion Criteria:\n\n* Patient's express negative to participate in the study\n* Patient already included in other simultaneous and competitive study\n* Patient cognitive deterioration that unable him to understand the study.","ALL","18 Years",{"count":20,"type":21},624,"ESTIMATED","30 Days","OBSERVATIONAL","A respiratory intermediate care unit (RICU) is a monitoring and treatment area of respiratory patients who do not required admission to intensive care unit (ICU) but due to complexity, they could not be managed in conventional ward. Aim: To investigate those patients that could better benefit from RICU stay. Hypothesis: a comprehensive and integrative knowledge of all factors that intervene during the RICU admission allow determining probability of survival. Primary outcome: 1. To construct a predictive model of mortality at 30-days after RICU admission for patients admitted to the coordinator RICU based on standard biostatistics: The BELLRICU Model. Secondary outcomes: 2.1. To validate the model in another cohort of patients admitted at the same RICU. 2.2. To validate the model in an external cohort (patients admitted at the rest of Catalan active RICUs at the time of the study). 2.3. To compare the predictive capacity of the BELLRICU model with other previous validated scales but in ICU setting. 2. 4. To explore a new predictive model using artificial intelligence (AI) techniques. 2.4. To design a quick app to implement the BELLRICU model. Methodology: Longitudinal prospective study (3 years), recording variables at baseline, at RICU admission and 30-days follow-up. During the first two years, variables will be collected from the coordinator RICU to construct the BELLRICU model, being \"mortality after 30-day of RICU admission\" the dependent varialbe and using regression of cox proportional risks analysis. During the third year of the study, the BELLRICU model will be applicated to the rest of the participants RICUs in order to validate the model. Further, the predictive capacity of the BELLRICU model will be compared with the predictive capacity of previous validated scales in ICU setting and with a exploratory model using AI from BELLRICU data base.",[26,27,28,29,30],"Acute Respiratory Failure (ARF)","Intermediate Respiratory Care Unit","Respiratory Precision Medicine","Mortality Prediction","Stratification Risk",[32,33,27,34],"Acute Respiratory Failure","Non-invasive Respiratory Support","Intensive Care Unit","NOT_YET_RECRUITING","2026-06-12",{"date":38,"type":39},"2026-06-16","ACTUAL",{"date":41,"type":21},"2026-06-10",{"date":43,"type":21},"2029-05-30",{"name":45,"class":46},"Hospital Universitari de Bellvitge","OTHER",1,{"id":49,"slug":50,"hasResults":11,"nctId":51,"briefTitle":52,"officialTitle":53,"acronym":54,"eligibilityCriteria":55,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":56,"enrollmentInfo":57,"targetDuration":4,"studyType":23,"phases":4,"briefSummary":59,"conditions":60,"keywords":66,"overallStatus":68,"whyStopped":4,"lastUpdateSubmitDate":69,"lastUpdatePostDateStruct":70,"startDateStruct":72,"completionDateStruct":74,"leadSponsor":76,"locationsCount":47},"100612143","factor-associated-with-mortality-in-the-icu-100612143","NCT07249749","Factor Associated With Mortality in the ICU","Factors Associated With Mortality in the Intensive Care Unit From the Orinoco Region. An Observational Trial","ICUMortal","Inclusion Criteria:\n\n* All adult patients older than 18 admitted to the intensive care unit during the study period.\n\nExclusion Criteria:\n\n* Patients admitted for intermediate care (low therapeutic intervention with a TISS \\[Therapeutic Intervention Scoring System\\] - 28 score below 20 points). Patients derived to other institutions.","100 Years",{"count":58,"type":21},1000,"ICU mortality indicates the severity of disease, healthcare quality, and the efficacy of interventions. The severity scores are tools to predict the risk of mortality in the ICU, and the APACHE II score is frequently used for this purpose. However, studies validating the score in Colombia are limited. There is uncertainty about the precision and discrimination capacity of the APACHE II score in a population that varies from the original, with varying diseases, and in a different timeline. The investigators determined to evaluate: 1. Evaluate the rate of mortality in the ICU by type of disease and type of admission. 2. The factors associated with mortality. 3. Validate the performance of the APACHE II score as a predictor of mortality.",[61,62,63,64,29,65],"Critically Ill","Intensive Care (ICU)","Intensive Care Medicine","Mortality","Mortality in Intensive Care Units",[61,34,64,67],"Colombia","RECRUITING","2026-05-25",{"date":71,"type":39},"2026-05-27",{"date":73,"type":39},"2026-01-10",{"date":75,"type":21},"2028-12-21",{"name":77,"class":46},"Hospital Departamental de Villavicencio",{"id":79,"slug":80,"hasResults":11,"nctId":81,"briefTitle":82,"officialTitle":83,"acronym":84,"eligibilityCriteria":85,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":86,"targetDuration":4,"studyType":23,"phases":4,"briefSummary":88,"conditions":89,"keywords":92,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":98,"lastUpdatePostDateStruct":99,"startDateStruct":101,"completionDateStruct":103,"leadSponsor":105,"locationsCount":47},"100619479","congestion-and-lactate-at-discharge-in-acute-heart-failure-100619479","NCT07345156","Congestion and LActate at diScHarge in Acute Heart Failure","Validation of a Combined Score Combining the Lung Ultrasound Score and Lactate at Discharge for Predicting Early Events After Acute Heart Failure","CLASH-HF","Inclusion Criteria:\n\n* Age ≥ 18 years.\n* Hospitalization for acute heart failure\u002Fdecompensation (clinical diagnosis + imaging\u002Flaboratory tests according to local practice).\n* Patient deemed ready for discharge (decision made by the team, discharge within 24 hours).\n\nExclusion Criteria:\n\n* Septic shock\u002Fsevere active infection at the time of discharge.\n* Hypoxemia or respiratory distress requiring high-flow oxygen\u002Fventilation at the scheduled time of discharge.\n* Severe cirrhosis\u002Fadvanced liver failure.\n* Refusal to participate.\n* Technical impossibility of LUS.",{"count":87,"type":21},350,"Acute heart failure (AHF) is a leading cause of hospitalization and is associated with high short-term morbidity and mortality, with 20-30% of patients experiencing rehospitalization or death within 30 days. Early adverse events often reflect incomplete recovery, highlighting the need for improved risk stratification after clinical stabilization .Current prognostic approaches mainly focus on hemodynamic congestion. Persistent pulmonary congestion at discharge is a strong predictor of poor outcomes, but these markers primarily assess macrocirculatory abnormalities and do not capture microcirculatory dysfunction, which may persist despite apparent clinical improvement. Lung ultrasound, through the Lung Ultrasound Score (LUS), provides a validated assessment of pulmonary congestion and has demonstrated prognostic value in AHF. However, LUS does not reflect systemic tissue perfusion. In contrast, blood lactate is a robust marker of tissue hypoperfusion, and even mild elevations have been associated with worse outcomes in AHF. A combined score integrating LUS and lactate may therefore better reflect the dual pathophysiology of AHF-persistent congestion and impaired tissue perfusion-and improve prediction of early adverse events.\n\nThis protocol aims to validate the prognostic value of this combined score for predicting 30-day rehospitalization or death in patients hospitalized for AHF, with the hypothesis that it outperforms LUS alone.",[90,91,29],"Heart Failure Acute","Discharge Follow-up Phone Calls",[93,94,95,96,97],"Lung Ultrasound Score","Lactate","Combined score","Acute Heart Failure","Discharge","2026-01-08",{"date":100,"type":39},"2026-01-15",{"date":102,"type":21},"2026-01-01",{"date":104,"type":21},"2026-12-30",{"name":106,"class":46},"University of Monastir",{"id":108,"slug":109,"hasResults":11,"nctId":110,"briefTitle":111,"officialTitle":112,"acronym":4,"eligibilityCriteria":113,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":114,"enrollmentInfo":115,"targetDuration":4,"studyType":23,"phases":4,"briefSummary":117,"conditions":118,"keywords":4,"overallStatus":68,"whyStopped":4,"lastUpdateSubmitDate":119,"lastUpdatePostDateStruct":120,"startDateStruct":122,"completionDateStruct":124,"leadSponsor":126,"locationsCount":47},"100567233","28-day-mortality-prediction-for-critically-ill-patients-in-the-intensive-care-unit-physician-nurse-vs-score-100567233","NCT06665529","28-day Mortality Prediction for Critically Ill Patients in the Intensive Care Unit: Physician-nurse vs. Score","28-day Mortality Prediction for Critically Ill Patients in the Intensive Care Unit: Physician-nurse vs. Score. A Prospective Observational Study","Inclusion Criteria:\n\n* All patients admitted to the ICU between 1.1.2025 and 1.1.2027.\n\nExclusion Criteria:\n\n* Patients who were hospitalized in the ICU for less than 72 hours.","99 Years",{"count":116,"type":21},2000,"There are several scores for predicting mortality within 28 days in the intensive care unit, including APACHE 2, MPM 2 and MODS. These models for predicting mortality can help intensive care physicians to identify patients at high risk of mortality, thus helping them in the decision regarding their admission to the ICU and the management of their care during hospitalization. However, it is not entirely clear whether these models can predict mortality better than an experienced ICU physician or nurse.\n\nThe purpose of the study is to compare the ability of a senior ICU physician and nurse to predict mortality within 28 days in intensive care patients and between the predictive ability of three models for mortality prediction, as well as to investigate what were the parameters that particularly influenced the mortality prediction of the medical and nursing staff.\n\nThe study will be performed as a prospective observational study and will include approximately 2000 patients. For each patient admitted to intensive care, the risk of mortality will be calculated according to APACHE 2, MPM 2 and MODS. In addition, an independent evaluation by 3 specialist ICU physicians and an experienced ICU nurse will be carried out. The medical and nursing staff's reasons for the risk provided by them will be presented.",[29],"2025-05-07",{"date":121,"type":39},"2025-05-13",{"date":123,"type":39},"2025-02-01",{"date":125,"type":21},"2027-01-01",{"name":127,"class":46},"Meir Medical Center",{"id":129,"slug":130,"hasResults":11,"nctId":131,"briefTitle":132,"officialTitle":133,"acronym":4,"eligibilityCriteria":134,"healthyVolunteers":11,"sex":17,"minAge":135,"maxAge":136,"enrollmentInfo":137,"targetDuration":4,"studyType":23,"phases":4,"briefSummary":139,"conditions":140,"keywords":143,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":147,"lastUpdatePostDateStruct":148,"startDateStruct":150,"completionDateStruct":151,"leadSponsor":153,"locationsCount":47},"100588396","chloride-imbalance-in-preterm-infants-100588396","NCT06940856","Chloride Imbalance in Preterm Infants","The Impact of Chloride Imbalance on BPD Development and Mortality in Preterm Infants","Inclusion Criteria:\n\n* Infants born \\\u003C32 weeks PMA or \\\u003C1500 grams\n* Infants admitted to NICU within the first 24 hours\n\nExclusion Criteria:\n\n* Infants with major congenital anomalies\n* Infants with chromosomal anomalies\n* Infants who have undergone enterostomy operation\n* Infants admitted to NICU after the first 24 hours","1 Hour","6 Weeks",{"count":138,"type":21},500,"In adults and children low or high blood chloride levels are linked to the risk of death. The aim of this observational study is to determine whether there is a relationship between low or high blood chloride levels and the risk of death or long-term lung problems. We will also learn the risk factors and associated conditions of high or low blood chloride levels. We will include infants born before 32 weeks of pregnancy or have a birth weight of less than 1500 grams in the study. The main question it aims to answer is:\n\nIs there a relationship between low or high blood chloride levels in the first 4-6 weeks of life and risk of death or long-term lung problems in premature babies? We will examine the medical reports of babies who were followed up in neonatal intensive care unit over the past 5 years.",[141,29,142],"Bronchopulmonary Dysplasia (BPD)","Chloride Disorder",[144,145,64,146],"Bronchopulmonary dysplasia","Preterm infant","Chloride imbalance","2025-04-15",{"date":149,"type":39},"2025-04-23",{"date":147,"type":21},{"date":152,"type":21},"2026-10-15",{"name":154,"class":46},"Kanuni Sultan Suleyman Training and Research Hospital",{"id":156,"slug":157,"hasResults":11,"nctId":158,"briefTitle":159,"officialTitle":159,"acronym":4,"eligibilityCriteria":160,"healthyVolunteers":11,"sex":17,"minAge":161,"maxAge":4,"enrollmentInfo":162,"targetDuration":164,"studyType":23,"phases":4,"briefSummary":165,"conditions":166,"keywords":167,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":170,"lastUpdatePostDateStruct":171,"startDateStruct":173,"completionDateStruct":175,"leadSponsor":177,"locationsCount":4},"100567966","mortality-risk-assessment-by-skilled-staff-compared-to-existing-validated-tools-in-skilled-nursing-departments-100567966","NCT06675071","Mortality Risk Assessment by Skilled Staff Compared to Existing Validated Tools in Skilled Nursing Departments","Inclusion Criteria: Patients admitted to skilled nursing departments at Shmuel Harofeh Hospital.\n\n\\-\n\nExclusion Criteria: Patients admitted for end-of-life care\n\n\\-","65 Years",{"count":163,"type":21},300,"1 Year","Mortality Risk Assessment by Skilled Caregivers Compared to Existing Validated Tools in Skilled Nursing Departments at Shmuel Harofeh Geriatric Hospital\n\nBackground The elderly population in Israel and globally is growing, increasing demand for medical services, particularly palliative care. Recommendations from 2016 emphasized the need for geriatric and skilled nursing departments to focus on end-of-life care, but implementation has been limited. High mortality and frequent readmissions are reported in long-term care, yet accurate mortality prediction tools for elderly patients remain limited. Improved mortality prediction can help identify patients who would benefit from palliative care and reduce unnecessary interventions.\n\nResearch Objectives\n\n1. Assess life expectancy of patients in skilled nursing departments.\n2. Compare the effectiveness of various tools in predicting six-month mortality.\n\nHypothesis Caregiver assessments will more accurately predict mortality than current validated tools.\n\nStudy Design Type: Prospective cohort study. Location: Shmuel Harofeh Hospital\n\nStudy Population Approximately 250 patients admitted to skilled nursing departments at Shmuel Harofeh Hospital.\n\nRecruitment Period: Two years. Follow-up Period: Up to one year.\n\nMethods\n\nEpidemiological and clinical data (age, comorbidities, functional and cognitive status, lab results) will be collected. Mortality risk will be assessed using:\n\n1. Validated Tools: Including the MITCHELL scale (for patients with advanced dementia) and the POROCK scale (for institutionalized patients).\n2. Caregiver Assessment: Subjective life expectancy estimates by attending geriatricians and nursing staff within three days of admission and again 7-10 days later. An external geriatrician will also provide an assessment based on brief, non-invasive observation.\n\nData Processing Data will be coded, entered into an electronic dataset, and undergo statistical analysis after collection. No interventions beyond routine care are included.\n\nEthical Considerations As an observational study without intervention, a waiver for informed consent was granted.\n\nImportance of Research Skilled nursing facilities increasingly need to provide palliative care for elderly patients. This study aims to improve mortality prediction methods, helping to identify patients for end-of-life care, ultimately enhancing care quality, and reducing costs by avoiding unnecessary hospitalizations and treatments.",[29],[168,169],"older adults, long term care, Mortality Prediction","MITCHELL scale, POROCK scale","2024-11-04",{"date":172,"type":39},"2024-11-05",{"date":174,"type":21},"2024-11-10",{"date":176,"type":21},"2028-01-01",{"name":178,"class":179},"Shmuel Harofeh Hospital, Geriatric Medical Center","OTHER_GOV"]