Compartir
Título
PREDICTUS dataset: Predictors of 90-day functional outcome [Dataset]
Otros títulos
PREDICTUS_dataset_predictors_of_90_day_functional_outcome
Autor(es)
Palabras clave
acute ischaemic stroke
mechanical thrombectomy
reperfusion therapy
modified Rankin Scale
functional outcome
inflammatory biomarkers
neutrophil-to-lymphocyte ratio
lymphocyte-to-monocyte ratio
platelet-to-lymphocyte ratio
Fecha de publicación
2026
Editor
Universidad de Salamanca
Citación
Dolcet-Negre, Marta M.; Tarruella-Hernández, Diana L.; García-Molina, Antonio; et al. (2026). PREDICTUS dataset: Predictors of 90-day functional outcome. GREDOS, University of Salamanca. http://hdl.handle.net/10366/169169
Serie / N.º
PREDICTUS-DATASET-v1.0;
Resumen
[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.
Descripción
Approved by CEIm Hospital Universitario y Politécnico La Fe (protocol #2024-0422-1)
Asociado a la publicación
URI
DOI
doi.org/10.71636/qe4k-7136
Es parte de
Tabla de contenidos
PREDICTUS.xlsx
PREDICTUS_processed_full.csv
PREDICTUS_processed_models.csv
PREDICTUS_data_dictionary.csv
README_PREDICTUS.txt
Aparece en las colecciones
Ficheros en el ítem
Nombre:
PREDICTUS.xlsxEmbargado hasta: 2026-07-21
Tamaño:
274.1Kb
Formato:
Desconocido
Descripción:
Raw data (original spreadsheet, prior to harmonisation and exclusions)
Nombre:
PREDICTUS_processed_full.csvEmbargado hasta: 2026-07-21
Tamaño:
81.93Kb
Formato:
Desconocido
Descripción:
Processed dataset (English variable names; exclusions applied; binary outcome mRS<2 vs mRS≥2)
Nombre:
PREDICTUS_processed_models.csvEmbargado hasta: 2026-07-21
Tamaño:
66.44Kb
Formato:
Desconocido
Descripción:
Modelling dataset (analysis-ready subset; variables used in predictive models)
Nombre:
PREDICTUS_data_dictionary.csvEmbargado hasta: 2026-07-21
Tamaño:
11.06Kb
Formato:
Desconocido
Descripción:
Data dictionary / codebook (variable definitions, coding, units where applicable)
Nombre:
Tamaño:
3.949Kb
Formato:
Desconocido
Descripción:
README (study context, processing steps, exclusions, and file inventory)











