ArticleNeuropsychiatric disease and treatment2022
A Nomogram for Individualized Prediction of Stress-Related Gastrointestinal Bleeding in Critically Ill Patients with Primary Intracerebral Hemorrhage.
Article in Neuropsychiatric disease and treatment, 2022. 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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4 citing papers in PubMed, 6 citations in OpenAlex.
- A LGBM model for predicting alimentary tract hemorrhage after intracerebral hemorrhage surgery: association with malnutrition risk and poor neurological recovery.Frontiers in medicine · 2026Article
- Effect of Acupuncture on Pneumonia Risk in Stroke Patients using Proton Pump Inhibitors: A Retrospective Case-Control Study.Brain and behavior · 2025Article
- Age-to-Glasgow Coma Scale score ratio predicts gastrointestinal bleeding in patients with primary intracerebral hemorrhage.Frontiers in neurology · 2023Article
- Stroke and the risk of gastrointestinal disorders: A Mendelian randomization study.Frontiers in neurology · 2023Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo establish and validate a nomogram model for predicting stress-related gastrointestinal bleeding in critically ill patients with primary intracerebral hemorrhage. PATIENTS AND
methodsFrom January 2018 to March 2021, we conducted a hospital-based study by screening eligible patients with acute intracerebral hemorrhage. Univariate and multivariate logistic regression analyses were performed to determine the predictors for stress-related gastrointestinal bleeding in patients with primary intracerebral hemorrhage. The nomogram was constructed on the basis of multivariate logistic model and was internally validated by bootstrap resampling. The discriminative performance of the nomogram was evaluated using the calibration and concordance index (C-index), which was equal to the area under the curve of receiver-operating characteristics. Hosmer-Lemeshow test was performed to check the model's goodness of fit. A decision curve analysis was used to assess its clinical utility.
resultsA total of 410 patients were enrolled in this study. Stress-related gastrointestinal bleeding occurred in 115 patients (28.0%). Multivariate analysis demonstrated that gastric pH at admission [odds ratio (OR): 0.52, 95% confidence interval (CI): 0.41-0.66,
conclusionThe proposed nomogram based on gastric pH at admission, ICH volume and sepsis can accurately predict the risk of stress-related gastrointestinal bleeding in critically ill patients with primary intracerebral hemorrhage.
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