Len Winfield
Research Subjects
Research Interests
Len Winfield has a total of 10 co-authors. Here are the top co-authors by number of shared publications:
- Carles Subirà
Althaia Xarxa Assistencial Universitària de Manresa, Manresa, Spain
1 shared publication - Caroline Macharete
Intensive Care Department, Hospital Sant Joan de Deu – Fundacio Althaia, Dr. Joan Soler 1, 08243, Manresa, Spain
1 shared publication - Gina Rognoni
Intensive Care Department, Hospital Sant Joan de Deu – Fundacio Althaia, Dr. Joan Soler 1, 08243, Manresa, Spain
1 shared publication - Ignacio Catalan
Intensive Care Department, Hospital Sant Joan de Deu – Fundacio Althaia, Dr. Joan Soler 1, 08243, Manresa, Spain
1 shared publication - Jaume Masclans
Intensive Care Department, Hospital Sant Joan de Deu – Fundacio Althaia, Dr. Joan Soler 1, 08243, Manresa, Spain
1 shared publication - Josep Mª. Alcoverro
Intensive Care Department, Hospital Sant Joan de Deu – Fundacio Althaia, Dr. Joan Soler 1, 08243, Manresa, Spain
1 shared publication
Latest Publications
- Open Access
- 16 November 2018
- Published by Springer Nature in Journal of Intensive Care
- Vol. 6 (1) , 1-7
High red blood cell distribution width as a marker of hospital mortality after ICU discharge: a cohort study
High red blood cell distribution width (RDW) is associated with worse outcome in diverse scenarios, including in critical illness. The Sabadell score (SS) predicts in-hospital survival after ICU discharge. We aimed to determine RDW’s association with survival after ICU discharge and whether RDW can improve the accuracy of the SS. Retrospective cohort study. Setting: general ICU at a university hospital. We included all patients discharged to wards from January 2010 to October 2016. We analyzed associations between RDW and variables recorded on admission (age, comorbidities, severity score), during the ICU stay (treatments, complications, length of stay (LOS)), and at ICU discharge (SS). The primary outcome was hospital mortality. Statistical analysis included multivariable logistic regression and receiver operating characteristic curve (ROC) analyses. We discharged 3366 patients to wards; median ward LOS was 7 [4–13] days; ward mortality was 5.2%. Mean RDW at ICU discharge was 15.4 ± 2.5%. Ward mortality was higher at each quartile of RDW (0.7%, 2.9%, 7.5%, 10.3%; area under ROC 0.81). A logistic regression model with Sabadell score obtained an excellent accuracy for ward mortality (area under ROC 0.863), and the addition of RDW slightly improved accuracy (AUROC 0.890, p < 0.05). Recursive partitioning demonstrated higher mortality in patients with high RDW at each SS level (1.6% vs. 0.3% in SS0, 9.7% vs. 1.1% in SS1, 21.9% vs. 9.7% in SS2), but not in SS3. High RDW is a marker of severity at ICU discharge and improves the accuracy of Sabadell score in predicting ward mortality except in the more extreme SS3.
- 16 November 2018
- Published by Springer Nature in Journal of Intensive Care
- Vol. 6 (1) , 1-7
Open AccessHigh red blood cell distribution width as a marker of hospital mortality after ICU discharge: a cohort study
High red blood cell distribution width (RDW) is associated with worse outcome in diverse scenarios, including in critical illness. The Sabadell score (SS) predicts in-hospital survival after ICU discharge. We aimed to determine RDW’s association with survival after ICU discharge and whether RDW can improve the accuracy of the SS. Retrospective cohort study. Setting: general ICU at a university hospital. We included all patients discharged to wards from January 2010 to October 2016. We analyzed associations between RDW and variables recorded on admission (age, comorbidities, severity score), during the ICU stay (treatments, complications, length of stay (LOS)), and at ICU discharge (SS). The primary outcome was hospital mortality. Statistical analysis included multivariable logistic regression and receiver operating characteristic curve (ROC) analyses. We discharged 3366 patients to wards; median ward LOS was 7 [4–13] days; ward mortality was 5.2%. Mean RDW at ICU discharge was 15.4 ± 2.5%. Ward mortality was higher at each quartile of RDW (0.7%, 2.9%, 7.5%, 10.3%; area under ROC 0.81). A logistic regression model with Sabadell score obtained an excellent accuracy for ward mortality (area under ROC 0.863), and the addition of RDW slightly improved accuracy (AUROC 0.890, p < 0.05). Recursive partitioning demonstrated higher mortality in patients with high RDW at each SS level (1.6% vs. 0.3% in SS0, 9.7% vs. 1.1% in SS1, 21.9% vs. 9.7% in SS2), but not in SS3. High RDW is a marker of severity at ICU discharge and improves the accuracy of Sabadell score in predicting ward mortality except in the more extreme SS3.