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TRV-2026-0993Certified recordPeer-reviewed

Prognostic Value of Admission D-dimer Levels and Total Bleeding Volume in Aneurysmal Subarachnoid Hemorrhage: A Retrospective Cohort Study with Machine Learning-Based Modeling

Background Plasma D-dimer levels are independently associated with poor prognosis following aneurysmal subarachnoid hemorrhage (aSAH). However, the underlying mechanisms contributing to early D-dimer elevation remain unclear. This study aimed to evaluate the association between admission D-dimer levels and total bleeding volume (TBV) and to further explore their combined predictive power for functional outcomes using interpretable machine learning approaches. Methods We analyzed data from 473 patients with aSAH…

Health · G Space — documented gain · certified 2026-09-06 · v1 · article view · machine-readable

Current reading — gain

Interpretable machine learning combining admission D-dimer and total bleeding volume improved prediction of 12-month functional outcome after aneurysmal subarachnoid hemorrhage, with XGBoost achieving AUC 0.904 and combined D-dimer+TBV+Hunt-Hess outperforming single markers, to inform early risk stratification.

What this doesn’t fix

Retrospective single-cohort design with 473 patients limits generalizability and causal inference about D-dimer mechanisms, and performance was evaluated within the same PROSAH-MPC cohort without external validation reported.

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Truvace Impact Record TRV-2026-0993, v1: “Prognostic Value of Admission D-dimer Levels and Total Bleeding Volume in Aneurysmal Subarachnoid Hemorrhage: A Retrospective Cohort Study with Machine Learning-Based Modeling.” Truvace, 2026-09-06. /record/TRV-2026-0993 (accessed at citation time). sha256 26a928fcdd475c5b…

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