Gangrenous Cholecystitis
Conditions
Brief summary
Gangrenous cholecystitis is the most common complication of acute cholecystitis. There is no research using machine learning models to construct predictive diagnostic models for gangrenous cholecystitis.
Detailed description
This study reviewed the clinical data of 2023 cholecystectomy patients admitted to our center between January 1, 2015, and May 31, 2015, it includes demographic, clinical features, laboratory and imaging indexes, and constructs five commonly used Decision Tree, SVM, Random Forest, XGBoost, AdaBoost models, feature subsets are selected by Recursive Feature Elimination with Cross-Validation and the importance of variables in each model, model performance is evaluated by Balanced accuracy, Recall, Precision, F1score, and the Precision-Recall(PR) curve, and the final results are verified by independent external validation sets.
Interventions
OTHERObservational
Observational
Sponsors
National Natural Science Foundation of China
Dalian Medical University
Study design
Observational model
CASE_CONTROL
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Healthy volunteers
No
Inclusion criteria
* patients diagnosed with acute cholecystitis or acute exacerbation of chronic cholecystitis in our hospital and receiving complete clinical treatment in our hospital; * performing cholecystectomy; * having complete and searchable clinical data, such as patient's age, surgical records, and hospitalization days.
Exclusion criteria
* previous diagnosis of chronic cholecystitis, this time for elective surgical treatment; * previous diagnosis of acute cholecystitis, ultrasound-guided cholecystectomy after elective laparoscopic cholecystectomy; * concomitant with other acute biliary and pancreatic system-related diseases, such as obstructive jaundice caused by choledochal stones, acute cholangitis, acute pancreatitis, etc.; * exclude patients who combined with other surgery patients such as choledochotomy and lithotripsy, choledochoscopic exploration and lithotripsy, bile-intestinal anastomosis, appendectomy, etc; * those with incomplete data
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| pathological diagnosis of patients with cholecystectomy | 30 days | Check the patient's pathological report and whether the pathological description contains phenomena such as full layer ischemic necrosis and ulceration of the gallbladder wall. Diagnose as gangrenous cholecystitis or non-gangrenous cholecystitis. |
| The predictive performance of diagnostic prediction models | through study completion, an average of 4 months | The predictive diagnosis was obtained by the model and each predictive variable, and the metric (Accuracy, Recall, Precision, F1score) of the model was obtained by comparing with the actual pathological diagnosis. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| D-dimer value | through study completion, an average of 4 months | Correlation between coagulopathy and patients with gangrenous cholecystitis and non-gangrenous cholecystitis |
| Fibrinogen value (g/L) | through study completion, an average of 4 months | Correlation between coagulopathy and patients with gangrenous cholecystitis and non-gangrenous cholecystitis |
| WBC value (10*9/L) | through study completion, an average of 4 months | Correlation between WBC and patients with gangrenous cholecystitis and non-gangrenous cholecystitis |
| Gallbladder wallness (cm) | through study completion, an average of 4 months | Correlation between Gallbladder wallness and patients with gangrenous cholecystitis and non-gangrenous cholecystitis |
| BMI (Kg/m2) | through study completion, an average of 4 months | Correlation between obesity level and patients with gangrenous cholecystitis and non-gangrenous cholecystitis |
| Alanine transaminase value (ALT, U/L) | through study completion, an average of 4 months | Correlation between liver function and patients with gangrenous cholecystitis and non-gangrenous cholecystitis |
Countries
China
Outcome results
None listed