Construction of a predictive model for rebleeding risk in upper gastrointestinal bleeding patients based on clinical indicators such as infection.

Journal: Frontiers in microbiology
Published Date:

Abstract

BACKGROUND: The annual incidence of upper gastrointestinal hemorrhage (UGIB) is about 60 cases/100,000 people, and about 40% of UGIB patients have hemorrhagic ulcers. Ulcer formation is often associated with () infection, non-steroidal anti-inflammatory drugs (NSAIDs) use and other factors, so ulcerative disease is the main cause of upper gastrointestinal bleeding. induces chronic superficial gastritis with neutrophils infiltrating into the mucosa, so it is assumed that infection is the basis of bleeding lesions. infection is widespread worldwide, with about 50% of the population carrying the bacteria. Mortality during hospitalization is higher in patients with UGIB because rebleeding significantly increases the risk of death, especially if timely intervention is not provided. Rebleeding may also lead to severe complications such as shock and multiple organ failure. At present, the commonly used clinical scores for UGIB patients mainly include Rockall score (RS), AIMS65 score and Glasgow-Blatchford score (GBS). Because some hospitals are limited by local medical and health conditions, they lack timely and accurate endoscopic diagnosis and treatment equipment, and it is difficult to make accurate and timely judgments on patients.

Authors

  • Wei Zang
    Department of Radiology, ShengJing Hospital of China Medical University, Shenyang, Liaoning, China.
  • Ze Lin
    Department of Radiology, Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan 430022, China (Z.L.); Affiliated Hospital of Hubei University of Chinese Medicine, Wuhan 430022, China (Z.L.).
  • Yanduo Zhao
    The Second Clinical College of China Medical University, Shenyang, Liaoning, China.
  • Tianshi Jia
    The Second Clinical College of China Medical University, Shenyang, Liaoning, China.
  • Xinglong Zhang
    Department of Hematology, The Fourth Affiliated Hospital of China Medical University, Shenyang, 110032 Liaoning Province, China.

Keywords

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