ArticleBlood advances2022
Developing and validating a mortality prediction model for ICH in ITP: a nationwide representative multicenter study.
Article in Blood advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 9 citations in OpenAlex.
- A hematoma location-based nomogram for individualized prediction of thalamic pain after spontaneous thalamic hemorrhage.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026Article
- Risk Factors for Early Poor Outcomes in In-hospital Intracranial Hemorrhage: A Retrospective Cohort Study.Neurocritical care · 2025Article
- Article
- Development and validation of a clinical-radiomics nomogram for predicting 180-day functional outcomes in patients with spontaneous thalamic hemorrhage.Neurosurgical review · 2025Article
- Can Machine Learning Assist in Diagnosis of Primary Immune Thrombocytopenia? A Feasibility Study.Diagnostics (Basel, Switzerland) · 2024Article
- Incorporating platelet-to-white blood cell ratio into survival prediction models for intracerebral hemorrhage: a nomogram approach.Frontiers in neurology · 2024Article
- How we treat primary immune thrombocytopenia in adults.Journal of hematology & oncology · 2023Review
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Authors and funding
40 authors at 20 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Intracranial hemorrhage (ICH) is a rare and life-threatening hemorrhagic event in patients with immune thrombocytopenia (ITP). However, its mortality and related risk factors remain unclear. Herein, we conducted a nationwide multicenter real-world study of ICH in adult ITP patients. According to data from 27 centers in China from 2005 to 2020, the mortality rate from ICH was 33.80% (48/142) in ITP adults. We identified risk factors by logistic univariate and multivariate logistic regression for 30-day mortality in a training cohort of 107 patients as follows: intraparenchymal hemorrhage (IPH), platelet count ≤10 × 109/L at ICH, a combination of serious infections, grade of preceding bleeding events, and Glasgow coma scale (GCS) level on admission. Accordingly, a prognostic model of 30-day mortality was developed based on the regression equation. Then, we evaluated the performance of the prognostic model through a bootstrap procedure for internal validation. Furthermore, an external validation with data from a test cohort with 35 patients from 11 other centers was conducted. The areas under the receiver operating characteristic (ROC) curves for the internal and external validation were 0.954 (95% confidence interval [CI], 0.910-0.998) and 0.942 (95% CI, 0.871-1.014), respectively. Both calibration plots illustrated a high degree of consistency in the estimated and observed risk. In addition, the decision curve analysis showed a considerable net benefit for patients. Thus, an application (47.94.162.105:8080/ich/) was established for users to predict 30-day mortality when ICH occurred in adult patients with ITP.
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