Rocío Molina Montero
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Rocío Molina Montero has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Ana B. Oñoro-Morales
Servicio de Medicina Intensiva, Hospital Universitario Príncipe de Asturias, Carretera de Alcalá-Meco, s/n, 28805, Alcalá de Henares, Madrid, España
1 shared publication - Diego Aníbal Rodríguez-Serrano
Intensive Care Unit, Hospital Universitario La Princesa, Madrid, Spain
1 shared publication - Emilia Roy-Vallejo
Internal Medicine Department, Hospital Universitario La Princesa, Instituto de Investigación Sanitaria La Princesa (IIS-IP), 28006 Madrid, Spain
1 shared publication - Fernando Pozo
Bioinformatics Unit, Spanish National Cancer Research Centre, 28029 Madrid, Spain
1 shared publication - Rafael Blancas
Servicio de Medicina Intensiva, Hospital Universitario del Tajo, Avda. Amazonas Central, s/n, 28300 Aranjuez, Madrid, España
1 shared publication
Latest Publications
- Open Access
Baseline Severity and Early Multiorgan Failure to Predict In-Hospital Mortality in Critically Ill COVID-19 Patients: A Retrospective Cohort Study
Background: Intensive Care Unit (ICU) mortality remains high among patients with severe coro-navirus disease. Static admission severity scores may fail to capture the dynamic clinical trajectory of critically ill patients. We hypothesized that early multiorgan failure (MOF) at 24 hours would improve mortality discrimination beyond static admission severity alone. Methods: Retrospective, single-center cohort study of 345 adults with severe COVID-19 pneumonia admitted to a Spanish ICU (March 2020–December 2022). The primary outcome was all-cause in-hospital mortality. Univariate comparisons between survivors and non-survivors were performed, followed by multivariable logistic regression to identify independent predictors of mortality. Three sequential models were constructed and compared by Area Under the Receiver Operating Characteristic Curve (AUC-ROC) discrimination. Results: Overall, in-hospital mortality was 20.6%. Non-survivors were older and had higher Simplified Acute Physiology Score (SAPS) II and Acute Physiology and Chronic Health Evaluation (APACHE) II scores (p<0.001). MOF at 24 hours was more frequent among non-survivors than survivors (88.4% vs. 61.7%, p<0.001). The baseline model (age, sex, Chronic Obstructive Pul-monary Disease (COPD), hypertension, and SAPS II) achieved an AUC of 0.798 (95% CI 0.742– 0.852). The final model incorporating MOF at 24 hours achieved an AUC of 0.812 (95% CI 0.754– 0.860); early MOF nearly tripled the odds of death (OR 2.78, 95% CI 1.22–6.33, p=0.015). Conclusions: Combining baseline severity with early multiorgan dysfunction provides a simple, interpretable approach to mortality risk stratification in critically ill COVID-19 patients; however, external validation is needed before it can inform escalation-of-care or treatment-limitation decisions in clinical practice.
Open AccessBaseline Severity and Early Multiorgan Failure to Predict In-Hospital Mortality in Critically Ill COVID-19 Patients: A Retrospective Cohort Study
Background: Intensive Care Unit (ICU) mortality remains high among patients with severe coro-navirus disease. Static admission severity scores may fail to capture the dynamic clinical trajectory of critically ill patients. We hypothesized that early multiorgan failure (MOF) at 24 hours would improve mortality discrimination beyond static admission severity alone. Methods: Retrospective, single-center cohort study of 345 adults with severe COVID-19 pneumonia admitted to a Spanish ICU (March 2020–December 2022). The primary outcome was all-cause in-hospital mortality. Univariate comparisons between survivors and non-survivors were performed, followed by multivariable logistic regression to identify independent predictors of mortality. Three sequential models were constructed and compared by Area Under the Receiver Operating Characteristic Curve (AUC-ROC) discrimination. Results: Overall, in-hospital mortality was 20.6%. Non-survivors were older and had higher Simplified Acute Physiology Score (SAPS) II and Acute Physiology and Chronic Health Evaluation (APACHE) II scores (p<0.001). MOF at 24 hours was more frequent among non-survivors than survivors (88.4% vs. 61.7%, p<0.001). The baseline model (age, sex, Chronic Obstructive Pul-monary Disease (COPD), hypertension, and SAPS II) achieved an AUC of 0.798 (95% CI 0.742– 0.852). The final model incorporating MOF at 24 hours achieved an AUC of 0.812 (95% CI 0.754– 0.860); early MOF nearly tripled the odds of death (OR 2.78, 95% CI 1.22–6.33, p=0.015). Conclusions: Combining baseline severity with early multiorgan dysfunction provides a simple, interpretable approach to mortality risk stratification in critically ill COVID-19 patients; however, external validation is needed before it can inform escalation-of-care or treatment-limitation decisions in clinical practice.