Septic Shock Clinical Trial
Official title:
Application of Artificial Intelligence Sepsis Prediction Model to Assist ICU Clinical Decision
The development of sepsis prediction model in line with Chinese population, and extended to clinical, assist clinicians for early identification, early intervention, has a good application prospect. This study is a prospective observational study, mainly to evaluate the accuracy of the previously established sepsis prediction model. The occurrence of sepsis was determined by doctors' daily clinical judgment, and the results of the sepsis prediction model were matched and corrected to improve the clinical accuracy and applicability of the sepsis prediction model.
The sepsis prediction model adopted in this study has been completed in the preliminary preparation, which was constructed on 7,000 patients since the establishment of comprehensive ICU, and the sepsis 3.0 diagnostic standard was adopted.The sepsis prediction model was built using Python platform and XGBoost algorithm, which was used to predict the incidence of sepsis in ICU patients within 24 hours. The overall accuracy was 82%, and the area under the Auroc curve was 0.854. Patients who met the inclusion and exclusion criteria were given a daily prediction of sepsis model, and a quantitative checklist was formed based on the test results.There are two kinds of forecast outcomes: low risk and high risk.Quantitative checklists are available to attending physicians to improve diagnostic efficiency.The results were kept confidential to the clinician. All patients were diagnosed with sepsis by two senior attending physicians at a fixed time. The diagnosis consisted of two types: yes and no.If two attending physicians have different opinions, the third attending physician will be included for correction diagnosis, and the presence of sepsis will be determined in a 2:1 manner.The attending physicians are independent of each other. When the diagnosis results of the attending physician are input into the system, the prediction results of yesterday's sepsis prediction model are compared and calculated to determine the accuracy of the prediction model ;
| Status | Clinical Trial | Phase | |
|---|---|---|---|
| Recruiting |
NCT03649633 -
Vitamin C, Steroids, and Thiamine, and Cerebral Autoregulation and Functional Outcome in Septic Shock
|
Phase 1/Phase 2 | |
| Terminated |
NCT04117568 -
The Role of Emergency Neutrophils and Glycans in Postoperative and Septic Patients
|
||
| Completed |
NCT04227652 -
Control of Fever in Septic Patients
|
N/A | |
| Completed |
NCT05629780 -
Temporal Changes of Lactate in CLASSIC Patients
|
N/A | |
| Recruiting |
NCT04796636 -
High-dose Intravenous Vitamin C in Patients With Septic Shock
|
Phase 1 | |
| Terminated |
NCT03335124 -
The Effect of Vitamin C, Thiamine and Hydrocortisone on Clinical Course and Outcome in Patients With Severe Sepsis and Septic Shock
|
Phase 4 | |
| Recruiting |
NCT04005001 -
Machine Learning Sepsis Alert Notification Using Clinical Data
|
Phase 2 | |
| Recruiting |
NCT05217836 -
Iron Metabolism Disorders in Patients With Sepsis or Septic Shock.
|
||
| Recruiting |
NCT05066256 -
LV Diastolic Function vs IVC Diameter Variation as Predictor of Fluid Responsiveness in Shock
|
N/A | |
| Not yet recruiting |
NCT05443854 -
Impact of Aminoglycosides-based Antibiotics Combination and Protective Isolation on Outcomes in Critically-ill Neutropenic Patients With Sepsis: (Combination-Lock01)
|
Phase 3 | |
| Not yet recruiting |
NCT04516395 -
Optimizing Antibiotic Dosing Regimens for the Treatment of Infection Caused by Carbapenem Resistant Enterobacteriaceae
|
N/A | |
| Recruiting |
NCT02899143 -
Short-course Antimicrobial Therapy in Sepsis
|
Phase 2 | |
| Recruiting |
NCT02580240 -
Administration of Hydrocortisone for the Treatment of Septic Shock
|
N/A | |
| Recruiting |
NCT02565251 -
Volemic Resuscitation in Sepsis and Septic Shock
|
N/A | |
| Recruiting |
NCT02676427 -
Fluid Responsiveness in Septic Shock Evaluated by Caval Ultrasound Doppler Examination
|
||
| Completed |
NCT02638545 -
Hemodynamic Effects of Dexmedetomidine in Septic Shock
|
Phase 3 | |
| Terminated |
NCT02335723 -
ASSET - a Double-Blind, Randomized Placebo-Controlled Clinical Investigation With Alteco® LPS Adsorber
|
N/A | |
| Not yet recruiting |
NCT02547467 -
TOADS Study: TO Assess Death From Septic Shock.
|
N/A | |
| Completed |
NCT02306928 -
PK Analysis of Piperacillin in Septic Shock Patients
|
N/A | |
| Completed |
NCT02079402 -
Conservative vs. Liberal Approach to Fluid Therapy of Septic Shock in Intensive Care
|
Phase 4 |