[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"renal-diseases\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:renal-diseases":32},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,4,0,[8,57,88,118],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":13,"acronym":14,"eligibilityCriteria":15,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":4,"enrollmentInfo":18,"targetDuration":4,"studyType":21,"phases":22,"briefSummary":24,"conditions":25,"keywords":33,"overallStatus":45,"whyStopped":4,"lastUpdateSubmitDate":46,"lastUpdatePostDateStruct":47,"startDateStruct":50,"completionDateStruct":52,"leadSponsor":54,"locationsCount":4},"100649117","a-dietitian-driven-unified-nutritional-care-model-adduce-100649117",false,"NCT07730996","A Dietitian-Driven Unified Nutritional Care Model (ADDUCE)","ADDUCE","For routinely collected hospital data:\n\nInclusion Criteria:\n\n* Age 18 years or older\n* Admitted to a participating medical ward during the study period\n* First eligible admission during the study period\n\nFor the prospectively enrolled cohort:\n\nInclusion Criteria:\n\n* Age 18 years or older\n* Newly admitted\n* Expected hospital stay of at least 48 hours\n* Able to speak and understand Danish\n* Able to provide written informed consent\n\nExclusion Criteria:\n\n* Terminally ill patients with short expected survival","ALL","18 Years",{"count":19,"type":20},216,"ESTIMATED","INTERVENTIONAL",[23],"NA","The goal of this clinical trial is to learn whether a new way of organising hospital nutrition care can improve outcomes for adults who are admitted to medical wards and are at risk of malnutrition.\n\nThe main questions it aims to answer are:\n\n* Does having clinical dietitians take primary responsibility for nutrition care shorten hospital stay?\n* Does this approach improve nutritional intake, nutritional status, quality of life, and patient satisfaction?\n* Does this approach lower healthcare costs compared with current practice?\n\nResearchers will compare the new nutrition care model with current practice. In current practice, nursing staff are mainly responsible for nutrition screening and nutrition care planning, while clinical dietitians are involved only when requested. In the new model, clinical dietitians are part of the ward team and take primary responsibility for identifying patients at nutritional risk, planning nutritional care, and providing nutritional treatment.\n\nParticipants will:\n\n* Receive either the current nutrition care approach or the new dietitian-led nutrition care approach, depending on when they are admitted to the ward\n* Complete questionnaires about their nutritional status, quality of life, and daily activities during their hospital stay and about 30 days later\n* Have information collected during their hospital stay and from their medical records, including nutritional intake, body weight, length of hospital stay, hospital readmissions, and other health outcomes\n\nThe study will be conducted on three medical wards at Gødstrup Hospital. All wards will start with current practice and will gradually change to the new nutrition care model during the study period. Researchers will compare outcomes before and after the new model is introduced.",[26,27,28,29,30,31,32],"Hospitalized Adult Patients","Inpatient Internal Medicine Patients","Haematologic Disease","Pulmonary Diseases","Infectious Diseases","Gastroenterology","Renal Diseases",[34,35,36,37,38,39,40,41,42,43,44],"Disease-related malnutrition","Nutritional risk","Nutritional care","Clinical dietitian","Nutritional risk screening","Medical inpatients","Health services research","Interdisciplinary care","Hospital nutrition","Nutrition","Stepped-wedge cluster randomised trial","NOT_YET_RECRUITING","2026-07-22",{"date":48,"type":49},"2026-07-28","ACTUAL",{"date":51,"type":20},"2026-08-10",{"date":53,"type":20},"2027-05-16",{"name":55,"class":56},"Gødstrup Hospital","OTHER",{"id":58,"slug":59,"hasResults":11,"nctId":60,"briefTitle":61,"officialTitle":62,"acronym":63,"eligibilityCriteria":64,"healthyVolunteers":11,"sex":16,"minAge":4,"maxAge":4,"enrollmentInfo":65,"targetDuration":67,"studyType":68,"phases":4,"briefSummary":69,"conditions":70,"keywords":74,"overallStatus":45,"whyStopped":4,"lastUpdateSubmitDate":79,"lastUpdatePostDateStruct":80,"startDateStruct":82,"completionDateStruct":84,"leadSponsor":86,"locationsCount":4},"100617000","machine-learning-and-artificial-intelligence-algorithms-to-optimize-the-performance-and-delivery-of-acute-dialysis-100617000","NCT07312929","Machine Learning and Artificial Intelligence Algorithms to Optimize the Performance and Delivery of Acute Dialysis","SMART DIALYSIS - Scaling Machine Learning and Artificial Intelligence AlgoRithms to OpTimize the Performance and Delivery of Acute DIALYSIS.","SMART DIALYSIS","Inclusion Criteria\n\nPatients admitted to an intensive care unit (ICU) who require acute renal replacement therapy, either intermittent or continuous.\n\nExclusion Criteria\n\nReceipt of renal replacement therapy for less than 24 hours.\n\nPre-existing end-stage kidney disease.",{"count":66,"type":20},7500,"90 Days","OBSERVATIONAL","SMART DIALYSIS - Scaling Machine Learning and Artificial Intelligence AlgoRithms to OpTimize the Performance and Delivery of Acute DIALYSIS.\n\nHypothesis:\n\nCan the investigators develop and implement Machine Learning and Artificial Intelligence Algorithms into Clinical Information Systems to Optimize the Prescription, Delivery, and Performance of Acute Dialysis?\n\nObjective(s):\n\n1. Identify variables surrounding identified Key Performance Indicators that may be used by Machine Learning and Artificial Intelligence algorithms to optimize the prescription and performance of acute dialysis.\n2. Develop Machine Learning and Artificial Intelligence algorithms to help guide the prescription and delivery of acute dialysis in the development of Clinical Decision Support tools and Best Practice Advisories and create a ML\u002FAI Augmented SMART DIALYSIS Digital Dashboard.\n3. Implement and evaluate the performance of the developed Machine Learning and Artificial Intelligence algorithms on patient-centered and health economic outcomes.\n4. Validate and benchmark the performance of the evaluated Machine Learning and Artificial Intelligence algorithms across multiple jurisdictions.",[71,72,32,73],"Renal Dialysis","Renal Replacement Therapy","Quality Health Care",[75,76,77,78],"Dialysis","Articfical Inteligence","Key performance indicators","Machine Learning","2026-01-08",{"date":81,"type":49},"2026-01-12",{"date":83,"type":20},"2026-06-01",{"date":85,"type":20},"2031-06-30",{"name":87,"class":56},"University of Alberta",{"id":89,"slug":90,"hasResults":11,"nctId":91,"briefTitle":92,"officialTitle":93,"acronym":94,"eligibilityCriteria":95,"healthyVolunteers":96,"sex":16,"minAge":17,"maxAge":97,"enrollmentInfo":98,"targetDuration":4,"studyType":68,"phases":4,"briefSummary":100,"conditions":101,"keywords":103,"overallStatus":107,"whyStopped":4,"lastUpdateSubmitDate":108,"lastUpdatePostDateStruct":109,"startDateStruct":111,"completionDateStruct":113,"leadSponsor":115,"locationsCount":117},"100580790","new-advanced-vascular-imaging-ultrasound-protocols-100580790","NCT06841887","New Advanced Vascular Imaging Ultrasound Protocols","Unlock the Power of Resona 9 Ultrasound Machine: an Observational Study to Set-up and Test New Advanced Vascular Imaging Protocols","RESONA-SETTING","Inclusion Criteria:\n\n* Provision of informed consent prior to any study specific procedures\n* Female and\u002For male aged between 18 and 75 years\n* No previous history of kidney or cerebral disease and no pathologies that might have affected the vascular system\n\nExclusion Criteria:\n\n* Previous history of kidney or cerebral disease or pathologies that might have affected the vascular system\n* Legal incapacity, limited legal capacity, intellectual disability, uncooperative attitude or any other evidence that the subject will not be able to understand the study aims and procedures",true,"75 Years",{"count":99,"type":20},60,"This is a single-center observational study aimed at setting up and testing new ultrasound vascular imaging protocols, conducted exclusively for research purposes. The study will perform US examinations in 60 subjects. The subjects enrolled in the study will be examined the first time and will then provide consent to be examined again in the future if needed.\n\nThe primary aim of this study is to set-up and test new advanced US protocol for the arm and cerebral blood vessels\n\nThe secondary objectives will be:\n\n* Define ranges of normality\u002Freference values of US-based parameters to be compared with pathological values.\n* Evaluate the repeatability and reproducibility of the acquired US measurements.\n* Evaluate the correlation between age and the acquired US measurements.\n* Evaluate the correlation between gender and the acquired US measurements.",[32,102],"Cerebral Disorder",[104,105,106],"ultrasound","imaging","vascular protocol","RECRUITING","2025-08-28",{"date":110,"type":49},"2025-09-05",{"date":112,"type":49},"2025-05-09",{"date":114,"type":20},"2027-03",{"name":116,"class":56},"Mario Negri Institute for Pharmacological Research",1,{"id":119,"slug":120,"hasResults":11,"nctId":121,"briefTitle":122,"officialTitle":122,"acronym":4,"eligibilityCriteria":123,"healthyVolunteers":11,"sex":16,"minAge":124,"maxAge":4,"enrollmentInfo":125,"targetDuration":127,"studyType":68,"phases":4,"briefSummary":128,"conditions":129,"keywords":4,"overallStatus":107,"whyStopped":4,"lastUpdateSubmitDate":134,"lastUpdatePostDateStruct":135,"startDateStruct":137,"completionDateStruct":139,"leadSponsor":141,"locationsCount":117},"100602124","multidisciplinary-dissection-of-renal-and-metabolic-effects-of-glyfozines-on-elderly-patients-from-molecular-aspects-to-clinical-indications-100602124","NCT07119424","Multidisciplinary Dissection of Renal and Metabolic Effects of Glyfozines on Elderly Patients: From Molecular Aspects to Clinical Indications","Inclusion Criteria:\n\n1. Participant is willing and able to give informed consent for participation in the study;\n2. Patients must be enrolled also in MED-Cli e MED-Mol studies by signing both the MED-Cli e MED-Mol informed consents.\n3. The medical product is the standard of care for the patient and has been prescribed according to clinical practice and independent of the present study;\n4. Age ≥65 years;\n5. Participant has not yet started the prescribed SGLT2i therapy;\n6. Participant has at least one clinical indication for SGLT2i use according to clinical practice guidelines.\n\nExclusion Criteria:\n\n1. Current or previous use of SGLT2i;\n2. Inability to sign the informed consent.","65 Years",{"count":126,"type":20},300,"6 Months","The project aims to study the impact of SGLT2i therapy on clinical and biochemical aspects. in elderly. The project will combine different types of data, such as clinical and biological information, and will use advanced Bayesian statistical methods to understand the relationship between risk factors and patient outcomes following treatment with SGLT2 inhibitors.",[130,131,132,32,133],"Elderly Patients (>65 Years)","Diabetes (DM)","Heart Disease","Internal Disease","2025-08-05",{"date":136,"type":49},"2025-08-13",{"date":138,"type":49},"2025-02-14",{"date":140,"type":20},"2027-02",{"name":142,"class":56},"Chiara Lanzani"]