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Prognostic factors in gastrointestinal bleeding due to peptic ulcer: construction of a predictive model
Angela M Zaragoza1, Jose M Tenías, Maria J Llorente
1Service of Internal Medicine, Lluís Alcanyis Hospital, Xátiva, Valencia, Spain. med002680@saludalia.com
Insights
Predicting upper gastrointestinal bleeding (UGB) outcomes is crucial. The Forrest classification, combined with clinical factors, effectively predicts unfavorable courses in peptic ulcer bleeding patients.
Area of Science:
- Gastroenterology
- Clinical Medicine
- Medical Diagnostics
Background:
- Upper gastrointestinal bleeding (UGB) poses significant clinical challenges.
- Accurate prediction of unfavorable outcomes in UGB is essential for timely intervention.
- Peptic ulcer disease is a common cause of UGB.
Purpose of the Study:
- To identify easily applicable prognostic factors for UGB in clinical practice.
- To estimate the predictive capacity of preendoscopic and endoscopic findings for unfavorable clinical course in peptic ulcer-related UGB.
- To develop a decision-making algorithm for low-risk UGB patients.
Main Methods:
- Retrospective cohort study of 473 adult patients with UGB due to gastroduodenal ulcer.
- Logistic regression analysis and receiver operating curve (ROC) analysis were used to evaluate predictive models.
- Development of a predictive model incorporating clinical, preendoscopic, and endoscopic factors.
Main Results:
- The Forrest classification alone demonstrated high predictive capacity (ROCa=0.81).
- Incorporating clinical and preendoscopic factors (UGB type, hematocrit, kidney failure, liver disease) significantly improved predictive capacity (ROCa=0.87).
- The developed model effectively differentiated complication risk levels in patients classified as low risk by Forrest criteria (IIb and III).
Conclusions:
- The Forrest classification is a primary predictor of unfavorable outcomes in peptic ulcer UGB.
- Clinical factors are important adjuncts to the Forrest classification for comprehensive decision-making.
- An integrated approach using clinical and endoscopic data enhances prognostic accuracy for UGB patients.
Objectives:
The identification of prognostic factors of easy application in clinical practice can improve the diagnostic and therapeutic decision making process in upper gastrointestinal bleeding (UGB). The present study estimates the capacity to predict an unfavorable clinical course (mortality, unstable bleeding, and/or interventional therapy) on the basis of the preendoscopic and endoscopic clinical analytical findings in patients with UGB owing to peptic ulcer.
Method:
A retrospective cohort study was made of 473 adult patients seen in the Emergency Service of a District Hospital, and diagnosed with UGB secondary to gastroduodenal ulcer. Logistic regression analysis was used to construct different models, with the evaluation of their predictive capacity based on calculation of the area under the receiver operating curve (ROC). The final model was used to calculate the probabilities of an unfavorable clinical course for different profiles, with the purpose of constructing an algorithm of help in the decision making process applied to patients initially considered to be at low risk (Forrest classification IIb and III).
Results:
The model with the Forrest variable showed a high predictive capacity: ROCa=0.81 (95% confidence interval, 0.76-0.85). Incorporation to the model of clinical and preendoscopic factors (type of UGB, hematocrit, kidney failure, and liver disease) significantly increased its predictive capacity: ROCa=0.87 (95% confidence interval, 0.83-0.91). This model allows the differentiation of different complication risk levels in patients initially at low risk according to the Forrest classification (IIb and III).
Conclusions:
The Forrest classification is the principal predictive factor for an unfavorable course in patients with gastrointestinal bleeding owing to peptic ulcer, though clinical factors are also important and should complement the decision taking process.
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