Septic Shock
Conditions
Keywords
mortality, Predictive model
Brief summary
This clinical study adopts the design of cohort research, selects the sepsis shock patients admitted to our hospital ICU as the research object, takes the 28-day mortality rate as the outcome index, collects the baseline data of the patient, the severity of the disease, vital signs, the main infection site, the laboratory-related index, the treatment method and other data, screens out the risk factors affecting the sepsis shock 28-day mortality rate and constructs the prediction model accordingly, analyzes the prediction model with the subject's working characteristic curve (ROC). The recognition ability of the model is calculated by the area under the ROC curve (AUC) and the ability of the model to predict 28-day mortality with SOFA and APACHE II.
Interventions
None listed
Sponsors
Study design
Eligibility
Inclusion criteria
1. Age ≥ 18 years of age, gender-neutral; 2. Diagnosed with sepsis shock; 3. ICU survives longer than 48 h; 4. The preservation of clinical data is complete;
Exclusion criteria
\- Diagnosed with sepsis shock within 6 hours of emergency treatment; Combined with people with autoimmune diseases; 3. Organ transplantation or immunosuppressive treatment; 4. Severe heart, liver and kidney insufficiency; 5. Late stage of malignant tumor; 6. Maternity; 7. Referral or referral to another hospital;
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| All causes of 28 days mortality | 28 days | The all-cause mortality rate is measured from the time the ICU is admitted to the hospital and 28 days after admission (regardless of ICU, hospitalization or out-of-hospital mortality). |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| ICU hospitalization time | 2 years | hospitalization time |
| hospitalization mortality | 2 years | — |
Countries
China