A Machine Learning Algorithm Avoids Unnecessary Paracentesis for Exclusion of SBP in Cirrhosis in Resource-limited Settings.

Journal: Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association
PMID: 38906441

Abstract

BACKGROUND & AIMS: Despite the poor prognosis associated with missed or delayed spontaneous bacterial peritonitis (SBP) diagnosis, <15% get timely paracentesis, which persists despite guidelines/education in the United States. Measures to exclude SBP non-invasively where timely paracentesis cannot be performed could streamline this burden.

Authors

  • Scott Silvey
    Department of Population Health, Virginia Commonwealth University, Richmond, Virginia.
  • Nilang Patel
    Department of Medicine, Virginia Commonwealth University and Richmond VA Medical Center, Richmond, Virginia.
  • Jinze Liu
  • Asiya Tafader
    Department of Medicine, Virginia Commonwealth University and Richmond VA Medical Center, Richmond, Virginia.
  • Mahum Nadeem
    Department of Medicine, Virginia Commonwealth University and Richmond VA Medical Center, Richmond, Virginia.
  • Galvin Dhaliwal
    Department of Medicine, Virginia Commonwealth University and Richmond VA Medical Center, Richmond, Virginia.
  • Jacqueline G O'Leary
    Department of Medicine, University of Texas Southwestern and Dallas VA Medical Center, Dallas, Texas.
  • Heather Patton
    Department of Medicine, University of California San Diego and San Diego VA Medical Center, San Diego, California.
  • Timothy R Morgan
    Medical Service, VA Long Beach Healthcare Center, Long Beach, California.
  • Shari Rogal
    Department of Medicine, University of Pittsburgh Medical Center and Pittsburgh VA Medical Center, Pittsburgh, Pennsylvania.
  • Jasmohan S Bajaj
    Virginia Commonwealth University and McGuire VA Medical Center, Richmond, Virginia, USA.

Keywords

External Resources

Popular Topics
Recent Journals