Development and Validation of a Novel 1-year Mortality Risk Score That Includes the Use of Antithrombotic in Patients With Overt Gastrointestinal Bleeding

Autor: Tarek Nammour, Lara El Jamal, Mohammad N. Hosni, Hani Tamim, Anthony Kerbage, Jana G. Hashash, Yasser H. Shaib, Fady Daniel, Fadi Francis, Fadi H. Mourad, Assaad Soweid, Ala I. Sharara, Maha Makki, Don C. Rockey, Kassem Barada
Rok vydání: 2022
Předmět:
Zdroj: Journal of clinical gastroenterology.
ISSN: 1539-2031
Popis: We aimed to develop a novel 1-year mortality risk-scoring system that includes use of antithrombotic (AT) drugs and to validate it against other scoring systems in patients with acute gastrointestinal bleeding (GIB).We developed a risk-scoring system from prospectively collected data on patients admitted with GIB between January 2013 and August 2020, who had at least 1- year of follow-up. Independent predictors of 1-year mortality were determined after adjusting for the following confounders: the age-adjusted Charlson Comorbidity Index (CCI) (divided into 4 groups: CCI-0=0, CCI-1=1 to 3, CCI-2=4 to 6, CCI-3 ≥7), need for blood transfusion, GIB severity, need for endoscopic therapy, and type of AT. The risk score was based on independent predictors.Five hundred seventy-six patients were included and 123 (21%) died at 1-year follow-up. Our risk -score was based on the following: CCI-2 (2 points), CCI-3 (4 points), need for blood transfusion (1 point), and no use of aspirin (1 point), as aspirin use was protective (maximum score=6). Patients with higher risk scores had higher mortality. The model had a better predictive accuracy [AUC=0.82, 95% confidence interval (0.78-0.86), P0.0001] than the Rockall score for upper GIB (Area Under the Curve (AUC)=0.68, P0.0001), the Oakland score for lower GIB (AUC=0.69, p=0.004), or the Shock Index for all (AUC=0.54, P0.0001).A simple and novel score that includes use of AT upon admission accurately predicts 1-year mortality in patients with GIB. This scoring system may help guide follow-up decisions and inform the prognosis of patients with GIB.
Databáze: OpenAIRE