An observational study in Intracerebral Hemorrhage and Sepsis, sponsored by Xiangya Hospital of Central South University. Not yet recruiting at 1 site in China. Open to participants aged 18 Years to 89 Years. Per ClinicalTrials.gov, last updated 2024-03-25.
Sponsored by Xiangya Hospital of Central South University · Observational
Patients with intracerebral hemorrhage (ICH) in the intensive care unit (ICU) are at heightened risk of developing sepsis, significantly increasing mortality and healthcare burden. Currently, there is a lack of effective tools for the early prediction of sepsis in ICH patients within the ICU. This study aims to develop a reliable predictive model using machine learning techniques to assist clinicians in the early identification of patients at high risk and to facilitate timely intervention.
The Medical Information Mart for Intensive Care (MIMIC) IV database (version 2.2) is an international online repository for critical care expertise. This database contains patient-related information collected from the ICUs of Beth Israel Deaconess Medical Center between 2008 and 2019. It includes a vast dataset of 299,712 hospital admissions and 73,181 intensive care unit patients.
The eICU Collaborative Research Database (eICU-CRD) comprises data from over 200,000 ICU admissions for 139,367 unique patients across 208 US hospitals between 2014 and 2015, providing a valuable resource for critical care research.
This study aims to establish and validate multiple machine learning models to predict the onset of sepsis in ICU patients with ICH and to identify the model with the optimal predictive performance.
1,894 studies on the registry are indexed under Sepsis; 458 are open to participants now.
This study's planned enrollment of 1,800 is above the median of 160 across 929 observational studies indexed under Sepsis.
Browse Sepsis studies →Xiangya Hospital of Central South University is the lead sponsor of 170 studies on the registry; 76 are open to participants now.
Counted across the registry records on this site, refreshed daily.
All diagnoses in the MIMIC-IV and the eICU-CRD databases were identified based on the International Classification of Diseases, Ninth Revision (ICD-9), and ICD-10 codes. For the analysis, patients diagnosed with ICH were included. Sepsis was defined according to the Third International Consensus Definition of Sepsis and Septic Shock (Sepsis-3), which considers patients with suspected infection and a Sequential Organ Failure Assessment (SOFA) score ≥2 as septic.
Exclusion Criteria:
Other: no intervention
no intervention
Occurrence of sepsis
Occurrence of sepsis
Time frame: within 30 days of admission
Plan to share: No — In the paper
No publications or documents are linked to this record.
This study is not yet recruiting, as verified in Mar 2024. You cannot join it, but the record below documents what was studied.
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Xiangya Hospital of Central South University