[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"prediction\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:prediction":30},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,3,0,[8,48,75],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":4,"eligibilityCriteria":15,"healthyVolunteers":16,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":19,"targetDuration":22,"studyType":23,"phases":4,"briefSummary":24,"conditions":25,"keywords":4,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":36,"lastUpdatePostDateStruct":37,"startDateStruct":40,"completionDateStruct":42,"leadSponsor":44,"locationsCount":47},"100644884","clinical-risk-score-prediction-for-risk-of-dementia-among-late-life-population-with-depression-100644884",false,"NCT07676851","Clinical Risk Score Prediction for Risk of Dementia Among Late-life Population With Depression","Development of a Clinical Risk Score Prediction Tool for 5-, 9-, and 13-year Risk of Dementia Among Late-life Population With Depression: a Longitudinal Cohort Study","Inclusion Criteria:\n\n* Adults aged ≥50 years.\n* A diagnosis of depression clearly recorded by a clinician in the electronic medical record at baseline (based on structured or unstructured diagnostic documentation formed through routine clinical practice).\n* Complete baseline electronic medical record data available, including at least demographic information (age, sex), clinical diagnoses, comorbidities, and medication records.\n* At least one follow-up record available in the electronic medical record system to enable determination of incident dementia outcomes.\n* Informed consent provided for the use of routine medical data for this research analysis.\n\nExclusion Criteria:\n\n* Any type of dementia diagnosis recorded in the electronic medical record at baseline (including Alzheimer's disease, vascular dementia, and other types of dementia).\n* Medical record documentation indicating that the diagnosis of dementia preceded the diagnosis of depression, or an inability to clearly determine the chronological order of the two diagnoses.\n* Presence of other neurological diseases at baseline that may independently cause severe cognitive impairment (e.g., Parkinson's disease, multiple sclerosis, brain tumor, normal pressure hydrocephalus).\n* Missing key baseline electronic medical record data that would preclude subsequent risk model analysis.\n* Incomplete follow-up information or inability to clearly confirm incident dementia outcomes through the electronic medical record system.\n* Refusal to participate in the study or withdrawal of informed consent.",true,"ALL","50 Years",{"count":20,"type":21},44,"ESTIMATED","13 Years","OBSERVATIONAL","The goal of this observational study is to learn about the ability of a point risk score prediction model, developed using electronic medical record data, to predict the risk of progression from geriatric depression to dementia in older Chinese adults. The main questions it aims to answer are:\n\nDoes a higher point risk score increase the risk of developing dementia in older adults with depression?\n\nWhat is the accuracy of the point risk score prediction model in identifying individuals at high risk of dementia among older adults with depression?\n\nParticipants will receive their usual medical care as they normally would. No new treatments, tests, or procedures will be performed specifically for this study. The research team will collect data from their electronic medical records, including depression diagnoses, dementia diagnoses, comorbidities, medication records, and follow-up information. The point risk score will be calculated based on these routinely collected clinical data.",[26,27,28,29,30,31,32,33,34],"Alzheimer Dementia (AD)","Dementia","Late Life Depression (LLD)","Risk Scores","Prediction","Chinese Population","Obs e r","Observational Cohort Study","External Validation","RECRUITING","2026-06-24",{"date":38,"type":39},"2026-06-30","ACTUAL",{"date":41,"type":39},"2006-06-01",{"date":43,"type":21},"2030-06-30",{"name":45,"class":46},"Second Affiliated Hospital of Nanchang University","OTHER",1,{"id":49,"slug":50,"hasResults":11,"nctId":51,"briefTitle":52,"officialTitle":53,"acronym":4,"eligibilityCriteria":54,"healthyVolunteers":11,"sex":17,"minAge":55,"maxAge":56,"enrollmentInfo":57,"targetDuration":4,"studyType":23,"phases":4,"briefSummary":59,"conditions":60,"keywords":4,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":66,"lastUpdatePostDateStruct":67,"startDateStruct":69,"completionDateStruct":71,"leadSponsor":73,"locationsCount":47},"100605350","infrared-thermography-for-prediction-of-successful-erector-spinae-plane-block-in-unilateral-inguinal-hernia-surgery-in-paediatric-patients-100605350","NCT07161375","Infrared Thermography for Prediction of Successful Erector Spinae Plane Block in Unilateral Inguinal Hernia Surgery in Paediatric Patients","Infrared Thermography for Prediction of Successful Erector Spinae Plane Block in Unilateral Inguinal Hernia Surgery in Paediatric Patients: A Prospective Observational Study","Inclusion Criteria:\n\n* Age from 3 months to 6 years.\n* Both genders.\n* American Society of Anesthesiologists (ASA) Physical Status I-II.\n* Children undergoing elective unilateral open inguinal hernia surgery.\n\nExclusion Criteria:\n\n* Parents' or guardians' refusal\n* Known Allergy to local anesthetics.\n* Coagulopathy \\[international normalised ratio (INR) \\>1.4 or platelets \\\u003C75.000\\].\n* Infection at the site of injection or wound close to the puncture site.\n* preexisting neuropathy (with sensory and\u002For motor deficits).\n* Diseases interfere with thermal imaging (as skin infections).\n* Baseline oesophageal body temperature of more than 37.5 °C.\n* Emergency and re-do cases will be excluded.","3 Months","6 Years",{"count":58,"type":21},69,"This study aims to evaluate the accuracy of temperature change (ΔT) measurements using infrared thermography to predict a successful erector spinae plane block in pediatric patients undergoing inguinal hernia repair under general anesthesia.",[61,62,30,63,64,65],"Infrared","Thermography","Erector Spinae Plane Block","Unilateral Inguinal Hernia Surgery","Paediatric","2025-08-30",{"date":68,"type":39},"2025-09-08",{"date":70,"type":39},"2024-08-05",{"date":72,"type":21},"2025-09-01",{"name":74,"class":46},"Cairo University",{"id":76,"slug":77,"hasResults":11,"nctId":78,"briefTitle":79,"officialTitle":79,"acronym":4,"eligibilityCriteria":80,"healthyVolunteers":16,"sex":17,"minAge":81,"maxAge":82,"enrollmentInfo":83,"targetDuration":4,"studyType":23,"phases":4,"briefSummary":85,"conditions":86,"keywords":91,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":95,"lastUpdatePostDateStruct":96,"startDateStruct":98,"completionDateStruct":100,"leadSponsor":102,"locationsCount":47},"100548920","machine-learning-based-longitudinal-study-of-post-icu-syndrome-development-trajectory-in-critically-ill-patients-and-construction-of-clinical-early-warning-models-a-research-protocol-for-longitudinal-study-100548920","NCT06427265","Machine Learning-based Longitudinal Study of Post-ICU Syndrome Development Trajectory in Critically Ill Patients and Construction of Clinical Early Warning Models: a Research Protocol for Longitudinal Study","Inclusion Criteria patients :\n\n* Length of stay in ICU ≥24h;\n* Age ≥18 years old;\n* Conscious when leaving ICU, communicating with investigators without barriers;\n* Informed consent. Family members：\n* One family member ≥18 years of age was selected for each patient;\n* Assume the main role of caring for patients and medical decision-making;\n* No history of mental illness or other serious organic diseases;\n* Informed consent and voluntary participation in this study.\n\nExclusion Criteria patients :\n\n* Have been in ICU for more than 24h within 3 months before this admission;\n* Transferred to another ICU;\n* Cognitive impairment existed before ICU admission (BDRS \\> 4 points);\n* Severe hearing impairment, dysarthria, etc., which cannot be followed up;\n* Unable to complete the questionnaire survey due to serious illness.\n\nFamily members:\n\n* Family members refuse to participate in the study due to their own reasons;\n* Severe hearing and language impairment, unable to cooperate with researchers.","18 Years","100 Years",{"count":84,"type":21},840,"This project intends to track and evaluate whether post-ICU syndrome will occur 7 days, 1 month, 3 months and 6 months after ICU patients are transferred out of the ICU through a longitudinal study, apply the latent category growth model to identify different trajectory patterns of post-ICU syndrome in critically ill patients, and use modern machine learning models to build an early warning model of the trajectory patterns of post-ICU syndrome.",[87,30,88,89,90],"Intensive Care Unit Syndrome","Cognitive Impairment","Sleep Disorder","Memory Disorders",[92,93,94],"Post-icu syndrome","Prediction model","Development Trajectory","2025-05-26",{"date":97,"type":39},"2025-05-31",{"date":99,"type":39},"2023-12-01",{"date":101,"type":21},"2026-06-01",{"name":103,"class":46},"The Affiliated Hospital Of Guizhou Medical University"]