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The value of metagenomics based intestinal flora identification analysis for accurate prediction of sepsis associated encephalopathy

The value of metagenomics based intestinal flora identification analysis for accurate prediction of sepsis associated encephalopathy

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400090085
Enrollment
Unknown
Registered
2024-09-24
Start date
2021-04-24
Completion date
Unknown
Last updated
2024-09-30

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Sepsis-associated Encephalopathy

Interventions

Sepsis-associated Encephalopathy group/ Sepsis group:none

Sponsors

Affiliated Hangzhou First People’s Hospital, West Lake University School of Medicine
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 99 Years

Inclusion criteria

Inclusion criteria: Patients with sepsis: meet the diagnosis of sepsis 3.0 established by the "2016 International Conference on the Definition of Systemic Infection of the Society of Critical Care Medicine/European Society of Critical Care Medicine/American College of Chest Physicians/American Thoracic Society/Society of Surgical Infection" Criteria, which are defined as life-threatening organ dysfunction resulting from a dysregulated host response to infection. SAE patients: Doctors and nurses have clearly documented cognitive and neuropsychiatric disorders, as well as GCS<15 points, and delirium manifestations confirmed by the Confusion Assessment Method of the Intensive Care Unit (CAM-ICU) (such as attention Concentration, disorientation, thinking changes, psychomotor slowing, restlessness, etc.); SAE-specific EEG changes identified by amplitude-integrated electroencephalogram (aEEG)-based multimodal brain function monitoring technology: (1) Excessive increase of ? wave (low voltage, frequency generally greater than 4Hz, less than 8Hz); (2) delta wave dominant (medium to high voltage, frequency less than or equal to 4Hz); (3) three-phase wave (typical or atypical three-phase wave as the main (4) Inhibitory type (the active electrode is lower than 20 µV in the bipolar lead or reference lead mode, showing resting EEG), or burst-inhibitory type.

Exclusion criteria

Exclusion criteria: 1) Primary nervous system diseases include central nervous system infection (meningitis and encephalitis caused by various pathogenic microorganisms), cerebrovascular disease (cerebral hemorrhage, cerebral infarction, etc.), autoimmune encephalitis, epilepsy, etc.; 2 ) Non-nervous system diseases include metabolic diseases (for example, water and electrolyte disorders, hypoglycemia, diabetic ketoacidosis, hepatic encephalopathy, pulmonary encephalopathy, uremic encephalopathy, etc.); 3) rheumatic hematological diseases (such as hemolytic- uremic syndrome, systemic lupus erythematosus, etc.); 4) intoxication and withdrawal symptoms (such as alcohol, carbon monoxide, etc.); 5) changes in cognition and consciousness associated with analgesia and sedation.

Design outcomes

Primary

MeasureTime frame
gastrointestinal microbes;

Secondary

MeasureTime frame
miRNA;

Countries

China

Contacts

Public ContactXi Shaosong

Department of Critical Care Medicine, Affiliated Hangzhou First People’s Hospital, West Lake University School of Medicine

simon52@sina.com+86 138 6812 7885

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026