ArticleAmerican journal of translational research2023
Construction of a risk prediction model for non-variceal upper gastrointestinal bleeding and rebleeding based on multi-dimensional indicators and its application research.
Article in American journal of translational research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 2 citations in OpenAlex.
- Constructing and validating a risk prediction model for postoperative bleeding after colorectal EMR in the Chinese population: a machine learning-based study.Surgical endoscopy · 2026Article
- Prediction model for occult lymph node metastasis of head and neck squamous cell carcinoma based on multi-dimensional indicators.American journal of translational research · 2026Article
- Article
- Analysis of factors associated with 1-year rebleeding in patients with acute upper gastrointestinal bleeding and a Glasgow- Blatchford Score ≥ 6 based on serological indicators.Frontiers in medicine · 2025Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo construct a predictive model for the risk of rebleeding in non-variceal upper gastrointestinal bleeding (NVUGIB) based on multidimensional indicators to provide an assessment tool for early screening of rebleeding in NVUGIB.
methodsRetrospective analysis of the 3-month follow-up data of 85 patients with NVUGIB diagnosed at the Fifth Hospital of Wuhan from January 2019 to December 2021 who were discharged from the hospital after medical treatment. Patients were divided into a rebleeding group (n=45) and a non-rebleeding group (n=95) based on whether they rebleed during follow-up. The demographic characteristics, clinical characteristics and biochemical indicators of the two groups were compared. A multivariate logistic regression was used to analyze the influencing factors of NVUGIB rebleeding. A nomograph model was built using the screening results. The area under the working characteristic curve of the subject (AUC) was used to analyze the model differentiation, evaluate the model specificity and sensitivity, and verify the prediction performance of the model with the validation set.
resultsThere were significant differences in age, hematemesis, red blood cell count (RBC), platelet (PLT), albumin (Alb), prothrombin time (PT), TT, fibrinogen (Fib), plasma D-dimer (D-D), and blood lactate (LAC) levels between the two groups (all
conclusionAge ≥75, hematemesis >5 times, lower PLT, and higher D-D levels rise the risk of rebleeding in NVUGIB patients and have some reference value in clinical diagnosis and disease assessment.
Indexed as
Identifiers
37303679PMC10250983W4380290941What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.