Medicina Intensiva

ISSN: 2173-5727

Medicina Intensiva is the journal of the Spanish Society of Intensive and Critical Care Medicine and Coronary Units (SEMICYUC), and has become the reference publication in Spanish in its field. Medicina Intensiva mainly publishes Original Articles, Reviews, Clinical Notes, Images in Intensive Medicine, and Information relevant to the specialty. All works go through a rigorous selection process.

Indexed in:

Index Medicus / MEDLINE / EMBASE / Excerpta Medica / SCOPUS / MEDES / Science Citation Index Expanded, Journal of Citation Reports

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Impact factor

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years.

© Clarivate Analytics, Journal Citation Reports 2022

Impact factor 2023

2.7 (Q2)

Citescore

CiteScore measures average citations received per document published.

Citescore 2023

2.7

SJR

SRJ is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and qualitative measure of the journal's impact.

SJR 2023

0.341

SNIP

SNIP measures contextual citation impact by wighting citations based on the total number of citations in a subject field.

SNIP 2023

0.57

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Open Access option

Journal Information

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Issue

Vol. 49. Issue 2.

Pages 69-124 (February 2025)

Sumario en español

Editorial

Global definition of acute respiratory distress syndrome: An epidemiology perspective

Pablo Cardinal-Fernández, Guillermo Ortiz, Luis Blanch

Med Intensiva. 2025;49:69-71

Original articles

Clinical utility of rapid shallow breathing index in predicting successful weaning: secondary analysis of the COBRE-US trial

Fabio Varón-Vega, Eduardo Tuta-Quintero, Henry Robayo-Amortegui, Adriana Rincón, Luis F. Giraldo-Cadavid, Jonathan Palacios, Stephanie Crevoisier, Diana C. Duarte, ... Pablo Monedero

Med Intensiva. 2025;49:72-7

Anti-Xa activity below range is related to thrombosis in patients with severe COVID-19

Pilar Marcos-Neira, Cristian Morales-Indiano, Mariana Fernández-Caballero, Teresa Tomasa-Irriguible, Luisa Bordejé-Laguna, Víctor Ruíz-Artola

Med Intensiva. 2025;49:78-87

Application of a machine learning model for early prediction of in-hospital cardiac arrests: Retrospective observational cohort study

L. Socias Crespí, L. Gutiérrez Madroñal, M. Fiorella Sarubbo, M. Borges-Sa, A. Serrano García, D. López Ramos, C. Pruenza Garcia-Hinojosa, E. Martin Garijo

Med Intensiva. 2025;49:88-95