PREDICTUS dataset: Predictors of 90-day functional outcome [Dataset]
收藏DataCite Commons2026-01-23 更新2026-05-03 收录
下载链接:
https://hdl.handle.net/10366/169169
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资源简介:
[EN]Objectives
This study aims to assess the prognostic value of routinely available haematological inflammatory indices—neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR) and platelet-to-lymphocyte ratio (PLR)—for predicting 90-day functional outcome measured by the modified Rankin Scale (mRS) in patients with acute ischaemic stroke treated with reperfusion/recanalisation therapies. A further objective is to integrate these biomarkers with relevant clinical, laboratory and imaging covariates to develop predictive models and to explore whether associations remain consistent across clinically meaningful subgroups (e.g., stroke aetiology, occlusion site and reperfusion success).
Conclusions
Overall, LMR emerges as a reliable and readily accessible predictor of post-stroke functional outcome following reperfusion-treated ischaemic stroke, with higher LMR values associated with a greater likelihood of a favourable 90-day outcome. By contrast, NLR and PLR show less consistent prognostic performance. Incorporating LMR into multivariable prognostic models may improve risk stratification and support more personalised post-acute care decisions.
提供机构:
Universidad de Salamanca
创建时间:
2026-01-23



