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XGBoost for Predict Incisional Hernia

Recruiting
Conditions
Incisional Hernia
Interventions
Diagnostic Test: Not intervention
Registration Number
NCT05718999
Lead Sponsor
Hospital Regional de Alta Especialidad del Bajio
Brief Summary

The objective of this study is to develop a predictive model of IH based on machine learning with the use of the XGBoost technique, this will help surgeons in charge of abdominal wall closure to have objective support to determine high-risk patients and in them modify the closure technique or use a mesh according to their choice or the degree of contamination of the abdominal cavity.

Detailed Description

Retrospective and observational study. The predictions will make using machine learning models. The programs use the scikit-learn, xgboost and catboost Python packages for modeling.

The evaluation of models will be using fourfold cross-validation, the receiver operating characteristic (ROC) curve, the area under the ROC curve (AUC), and accuracy metrics calculated on the union of the test sets of the cross-validation.

The most critical factors and their contribution to the prediction will identify using a modern tool of explainable artificial intelligence called SHapley Additive exPlanations (SHAP).

Recruitment & Eligibility

Status
RECRUITING
Sex
All
Target Recruitment
1000
Inclusion Criteria
  • Patients older than 18 years of age
  • Postoperative midline exploratory laparotomy, who underwent urgent or scheduled surgery, regardless of their underlying diagnosis,
  • included between January 2010 and December 2016 and who completed 24 months of follow-up after surgery initial surgery.
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Exclusion Criteria
  • Reoperated for any cuestion diferent to present of hernia
  • Management of open abdomen
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Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Arm && Interventions
GroupInterventionDescription
With Incisional HerniaNot interventionThe incisional hernia was defined according to the EHS guidelines as a mass in the abdominal wall with or without a visceral outlet or palpable in the surgical site determined by clinical examination or tomography, this group will present this complication.
Without Incisional HerniaNot interventionThe incisional hernia was defined according to the EHS guidelines as a mass in the abdominal wall with or without a visceral outlet or palpable in the surgical site determined by clinical examination or tomography, this group will not present this complication.
Primary Outcome Measures
NameTimeMethod
Incisional Hernia24 months

incidence of Incisional hernia (the incisional hernia was defined according to the EHS guidelines as: a mass in the abdominal wall with or without visceral outlet or palpable in the surgical site determined by clinical examination or tomography).

Secondary Outcome Measures
NameTimeMethod
Facial dehiscence30 days

Incidence of fascial dehiscence (the fascial dehiscence is the presentation of separation of fascie with leakage of contents from the abdominal cavity

Trial Locations

Locations (1)

Hospital regional de Alta Especialidad del bajio

🇲🇽

Leon, Guanajuato, Mexico

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