ArticleBiochemistry and biophysics reports2024
The predictive role of the nomogram based on clinical characteristics and thromboelastography markers for rebleeding after hypertensive intracerebral hemorrhage.
Article in Biochemistry and biophysics reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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6 authors at 2 institutions in 1 country.
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Abstract
Objectives: Rebleeding after hypertensive intracerebral hemorrhage is a common and serious postoperative complication in neurosurgery, with high mortality and mental disability rates. The aim of this study was to establish a nomogram to analyze the role of thromboelastography in predicting rebleeding after hypertensive intracerebral hemorrhage. Basic methods: We selected 375 patients with hypertensive intracerebral hemorrhage who underwent surgical treatment in Yuebei People's Hospital of Shaoguan City, Guangdong Province from May 2018 to August 2022, and retrospectively analyzed the relevant data of hypertensive intracerebral hemorrhage patients (including general data and clinical thromboelastography data), and analyzed the factors and thromboelastography parameters that affect rebleeding after surgery (45 cases, defined as re-examination of head CT within 72 h after surgery showed that the hematoma in the surgical area exceeded 20 ml). Main results: Time from symptom onset to surgery, taking antiplatelet drugs, taking anticoagulant drugs, diabetes mellitus, difficulty in hemostasis during surgery, R value and EPL value in thromboelastography were risk factors for rebleeding after hypertensive intracerebral hemorrhage (P < 0.05). Logistic regression was used to determine the independent risk factors, and based on these risk factors, a nomogram was established and internally validated using a bootstrap method. ROC curve analysis showed that the nomogram model had high diagnostic value for rebleeding after hypertensive intracerebral hemorrhage, with AUC of 0.7314. The calibration curve of the nomogram showed good consistency between the predicted probabilities and the observed values. The decision curve analysis and clinical impact curve also revealed the potential clinical usefulness of the nomogram. Conclusions: The nomogram based on clinical characteristics and thromboelastography markers may be useful for predicting rebleeding after hypertensive intracerebral hemorrhage.
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