Clinical trials: Prediction Model
Postoperative Death
Descriptive and Risk Factors Analysis of All-cause Postoperative Death in Patients Undergoing Prolonged Surgery
The investigators are aimed to develop and externally validate a prediction model of clinical risk factors that quantifies postoperative death after prolonged surgery.
- Trial name
- NCT04926025
- Where
- 5 sites in China
- Volunteers
- 500,000 people
- Sponsor
- Huazhong University of Science and Technology
Postoperative Delirium, Intensive Care Psychiatric Disorder
Incidence and Risk Factors of PostopeRativE Delirium in ICU in China
Postoperative delirium (POD) is a common postoperative complication that can occur in patients of any age. POD brings great burden to patients and their families, as the following cognitive decline may persist for months to years…
- Trial name
- PREDICt (NCT03704324)
- Where
- China
- Volunteers
- 1,000 people
- Sponsor
- Shanghai Zhongshan Hospital
Aneurysm, Dissecting, Acute Kidney Injury
Prediction of Acute Kidney Injury After Operation of Acute Type A Aortic Dissection Based on Multimodal Model
Acute kidney injury is one of the most common postoperative complications of acute type A aortic dissection, which is closely related to early postoperative death.
- Trial name
- NCT05017896
- Testing
- Normal CT Renal Perfusion imaging indexes, Low CT Renal Perfusion imaging indexes
- Volunteers
- 242 people
- Sponsor
- Qilu Hospital of Shandong University
Acute Respiratory Distress Syndrome (ARDS), Prone Position Ventilation
Machine Learning Prediction of Mortality After Prone Positioning in ARDS
Acute respiratory distress syndrome (ARDS) is a life-threatening condition with high mortality. Prone position ventilation (PPV) is an evidence-based therapy that improves oxygenation and survival in patients with moderate to…
- Conditions
- Acute Respiratory Distress Syndrome (ARDS), Prone Position Ventilation, Machine Learning, ICU
- Trial name
- NCT07445061
- Testing
- Prone Position Ventilation
- Where
- China
- Volunteers
- 358 people
- Sponsor
- Shanghai Zhongshan Hospital
Early Breast Cancer
Artificial Intelligence (AI) - Based Models for Biomarkers Prediction
Despite the improvements in therapeutic approaches, breast cancer remains the most commonly occurring cancer and leading cause of cancer death in women worldwide.
- Trial name
- NCT07842068
- Volunteers
- 3,648 people
- Sponsor
- Hellenic Cooperative Oncology Group
Pancreatic Carcinoma, Cholangiocarcinoma
In This Study, a Retrospective Analysis Was Conducted to Explore the Risk Factors for Patients Undergoing Pancreaticoduodenal Surgery (PD) to Achieve TO, and a Nomogram Prediction Model Was Further Established to Promote the Standardization and Standardization of PD Surgical Quality Evaluation.
This study is committed TO exploring the risk factors affecting patients receiving pancreaticoduodenal surgery (PD) to achieve TO by retrospective analysis of clinical data of patients receiving PD surgery in Changzhou Second…
- Conditions
- Pancreatic Carcinoma, Cholangiocarcinoma, Pancreaticoduodenectomy
- Trial name
- NCT06763250
- Where
- China
- Volunteers
- 280 people
- Sponsor
- luokai zhang
Cardiovascular Diseases
Identification and Validation of a Prediction Model for CARDIOvascular Events
Background: Cardiovascular risk stratification is a cornerstone of modern preventive medicine, particularly in patients with multiple comorbidities, where risk estimation is inherently complex.
- Trial name
- CARDIO-COM (NCT06952062)
- Where
- Italy
- Volunteers
- 2,400 people
- Sponsor
- Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Disorder of Consciousness, Hydrocephalus
Prediction Model of Improvement of Disturbance of Consciousness in Patients With Hydrocephalus After Shunt Operation
Patients with hydrocephalus are usually treated with cerebrospinal fluid (CFS) shunt to deal with excess cerebrospinal fluid in the brain.
- Trial name
- NCT05237102
- Testing
- Cerebrospinal fluid shunt
- Where
- China
- Volunteers
- 200 people
- Sponsor
- Zhuohang Wang
Acute-on-Chronic Liver Failure, Hepatitis B, Chronic
Prediction Model Based on Computed Tomography Liver Volume for the Short-term Mortality in Hepatitis B Related Acute-on-Chronic
HBV-related acute-on-chronic liver failure (HBV-ACLF) deteriorates rapidly with a high short-term mortality. Early identification and accurate prognostic prediction was critical to improve survival rate.
- Trial name
- NCT03977857
- Where
- China
- Volunteers
- 486 people
- Sponsor
- First Affiliated Hospital Xi'an Jiaotong University
Type2diabetes
Validation of Existing Diabetes Risk Models in a Swedish Population
The goal of this observational study is to validate existing non-invasive diabetes clinical prediction models in a Swedish population.
- Trial name
- NCT05609266
- Volunteers
- 115,642 people, healthy volunteers welcome
- Sponsor
- Umeå University
Hip Fracture, Hip Fracture Surgeries
External Validation of Ten Prediction Models for 30-day Mortality Following Hip Fracture
This study aims to externally validate ten existing prediction models with a low risk of bias for 30-day mortality following hip fracture.
- Trial name
- PROTECT (NCT06961253)
- Where
- Netherlands
- Volunteers
- 3,500 people, healthy volunteers welcome
- Sponsor
- JointResearch
Pressure Injury, Critically Ill Patients
Construction and Application of Pressure Injury Risk Prediction Model for Critically Ill Patients
In the previous investigation, investigators found that when the risk factors of stress injury in critical patients changed, clinical nurses lacked the awareness of evaluating the risk of stress injury, and lacked the risk…
- Conditions
- Pressure Injury, Critically Ill Patients, Risk Factors, Machine Learning Algorithms
- Trial name
- NCT05564975
- Volunteers
- 350 people
- Sponsor
- Yang Chaonan
Intraoperative Hypothermia
Research on Intraoperative Hypothermia Risk Prediction Model and Temperature Management Strategy for Elderly Patients During Surgery Based on Dynamic Incremental Training
With the support of partial dual temperature monitoring (comparing the specific difference between standardized axillary temperature monitoring and esophageal temperature), this trial is divided into the following three parts: 1.
- Trial name
- NCT06676735
- Testing
- Inflatable warming system, Prediction of intraoperative hypothermia risk, The difference between axillary temperatature and core temperature in elderly patients
- Where
- China
- Volunteers
- 1,323 people, healthy volunteers welcome
- Sponsor
- First Affiliated Hospital of Chongqing Medical University
Multiple Chronic Illnesses
Assessing Costs & Cost-variability Among Enrollees of Health Insurance Programs Utilizing Charlson's Comorbidity Index and Administrative Databases
This study will involve the evaluation of the cost profile of about approximately 241,000 patients (15,000 who are members of the Generations Plus/ Northern Manhattan Health Network AND 226,000 members of a large self insured…
- Trial name
- NCT01761253
- Where
- United States
- Volunteers
- 241,000 people
- Sponsor
- Weill Medical College of Cornell University
Pituitary Tumor
Construction and Application of a Risk Prediction Model Forepistaxis After Pituitary Tumor Resection
(1) Objective to establish an evaluation system for predicting the risk of epistaxis after endoscopic transsphenoidal pituitary surgery（ 2) Objective to determine the risk factors of epistaxis after endoscopic transsphenoidal…
- Trial name
- NCT04938401
- Volunteers
- 1 people
- Sponsor
- Wang Ying supervisor nurse
Patient With Colorectal Cancer, Surgery
Construction and Validation of Risk Prediction Model for Gastrointestinal Dysfunction of Patient With Colorectal Cancer
To understand the current situation of the postoperative gastrointestinal dysfunction in patients with colorectal cancer effect a radical cure, and analyze the risk factors, and build the colorectal cancer radical surgery in…
- Trial name
- NCT05891301
- Testing
- Questionnaires set
- Where
- China
- Volunteers
- 737 people
- Sponsor
- Sun Yat-sen University
Pulmonary Disease, Chronic Obstructive, Severe Early-Onset
COPD Readmissions Prediction- ReCOPD Project
To develop predictive models for short-term readmission (60 days) and medium term (one year) for patients with an exacerbation of COPD (eCOPD) which are admitted to any of the participant hospitals.
- Trial name
- ReCOPD (NCT03227211)
- Where
- 8 sites in Spain
- Volunteers
- 1,500 people
- Sponsor
- Hospital Galdakao-Usansolo
Post Partum Hemorrhage
A Pragmatic Randomized Controlled Trial to Predict Postpartum Hemorrhage
This research project aims to enhance the safety of childbirth by using advanced computer models to predict the risk of postpartum hemorrhage (PPH). PPH is a significant concern for mothers during and after delivery.
- Trial name
- NCT06513351
- Testing
- Novel PPH Risk Prediction Model - Comparator Arm B
- Where
- United States
- Volunteers
- 12,500 people
- Sponsor
- Holly Ende
Hypertensive Disorder of Pregnancy, Pregnancy Complications
The Investigation of the Prediction Model and Prevention Strategy of Serious Pregnancy Complications in Hypertensive Disorders of Pregnancy Based on the Chinese Population
1. Evaluation of the efficacy of aspirin in preventing preeclampsia and its serious complications during pregnancy and postpartum. 2.
- Trial name
- HDP-RPP (NCT05089175)
- Testing
- Low-dose aspirin
- Where
- China
- Volunteers
- 4,500 people, healthy volunteers welcome
- Sponsor
- Women's Hospital School Of Medicine Zhejiang University
Mortality Prediction
Prediction of Postoperative Mortality in Patients Undergoing Non-cardiac Surgery: Development and Validation of the Surgical Mortality Model
This study aims to develop and validate a simple, accurate model to predict mortality after non-cardiac surgery.
- Trial name
- NCT07188636
- Testing
- No Intervention: Observational Cohort
- Where
- South Korea
- Volunteers
- 642,377 people
- Sponsor
- Asan Medical Center