Publications by authors named "Ahmed Deib"
Article Synopsis
- This study aims to identify factors that predict 30-day hospital readmissions in patients with liver cirrhosis and spontaneous bacterial peritonitis (SBP) and develop a risk score for better prediction.
- Using a multivariable logistic regression model, the study analyzed data from 400 patients to find key predictors of readmission, including age, MELD score, serum bilirubin, creatinine, INR, albumin, and platelet count.
- The newly established Mousa readmission risk score showed strong predictive capabilities, with varying sensitivity and specificity rates, allowing for effective identification of high-risk patients to potentially reduce readmission rates and improve outcomes.
