The prognostic role of red blood cell distribution width in transfused and non-transfused critically ill patients.


Journal

Minerva anestesiologica
ISSN: 1827-1596
Titre abrégé: Minerva Anestesiol
Pays: Italy
ID NLM: 0375272

Informations de publication

Date de publication:
Nov 2019
Historique:
pubmed: 18 4 2019
medline: 15 8 2020
entrez: 18 4 2019
Statut: ppublish

Résumé

Red blood cell distribution width (RDW) value is gaining popularity as a prognostic factor in critically ill patients. However, its role in transfused patients is unclear. The aim of this study was to evaluate the predictive value of Red blood cell distribution width (RDW) on Intensive Care Unit (ICU) admission for 90-day mortality among either transfused or non-transfused critically ill patients. This observational cohort study includes 286 patients with at least 48 hours of ICU length of stay. Patients were analyzed separately in two groups, depending on whether or not they were transfused in the last 72 hours before ICU admission. One hundred seventeen (117) patients (41%) were transfused. Patients with high RDW on admission (N.=181, 63%) had higher 90-day mortality both in non-transfused (26/87, 30% vs. 12/82, 14% P=0.03) or transfused (39/94, 41% vs. 2/23, 8% P=0.003) patients. The area under the curve of admission RDW values to predict 90-day mortality was 0.660 and 0.610 for non-transfused and transfused patients, respectively. The Youden Index analysis showed that an RDW value of 14.3% was the best cut-off to predict mortality in the non-transfused group, while 15.3% was the best cut-off in the transfused group. High RDW values on ICU admission are independently associated with 90-day mortality in critically ill patients regardless of previous red blood cells transfusion. However, we identified two different cut-offs of "high RDW" to be used in ICU in transfused and non-transfused patients.

Sections du résumé

BACKGROUND BACKGROUND
Red blood cell distribution width (RDW) value is gaining popularity as a prognostic factor in critically ill patients. However, its role in transfused patients is unclear. The aim of this study was to evaluate the predictive value of Red blood cell distribution width (RDW) on Intensive Care Unit (ICU) admission for 90-day mortality among either transfused or non-transfused critically ill patients.
METHODS METHODS
This observational cohort study includes 286 patients with at least 48 hours of ICU length of stay. Patients were analyzed separately in two groups, depending on whether or not they were transfused in the last 72 hours before ICU admission.
RESULTS RESULTS
One hundred seventeen (117) patients (41%) were transfused. Patients with high RDW on admission (N.=181, 63%) had higher 90-day mortality both in non-transfused (26/87, 30% vs. 12/82, 14% P=0.03) or transfused (39/94, 41% vs. 2/23, 8% P=0.003) patients. The area under the curve of admission RDW values to predict 90-day mortality was 0.660 and 0.610 for non-transfused and transfused patients, respectively. The Youden Index analysis showed that an RDW value of 14.3% was the best cut-off to predict mortality in the non-transfused group, while 15.3% was the best cut-off in the transfused group.
CONCLUSIONS CONCLUSIONS
High RDW values on ICU admission are independently associated with 90-day mortality in critically ill patients regardless of previous red blood cells transfusion. However, we identified two different cut-offs of "high RDW" to be used in ICU in transfused and non-transfused patients.

Identifiants

pubmed: 30994315
pii: S0375-9393.19.13522-5
doi: 10.23736/S0375-9393.19.13522-5
doi:

Substances chimiques

Biomarkers 0

Types de publication

Journal Article Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

1159-1167

Commentaires et corrections

Type : CommentIn

Auteurs

Alberto Fogagnolo (A)

Unit of Anesthesia and Intensive Care, Department of Morphology, Experimental Medicine and Surgery, Sant'Anna University Hospital, University of Ferrara, Ferrara, Italy.

Savino Spadaro (S)

Unit of Anesthesia and Intensive Care, Department of Morphology, Experimental Medicine and Surgery, Sant'Anna University Hospital, University of Ferrara, Ferrara, Italy - spdsvn@unife.it.

Fabio S Taccone (FS)

Department of Intensive Care, Erasme Hospital, Université Libre de Bruxelles, Brussels, Belgium.

Riccardo Ragazzi (R)

Unit of Anesthesia and Intensive Care, Department of Morphology, Experimental Medicine and Surgery, Sant'Anna University Hospital, University of Ferrara, Ferrara, Italy.

Anna Romanello (A)

Unit of Anesthesia and Intensive Care, Department of Morphology, Experimental Medicine and Surgery, Sant'Anna University Hospital, University of Ferrara, Ferrara, Italy.

Alberto Fanni (A)

Unit of Anesthesia and Intensive Care, Department of Morphology, Experimental Medicine and Surgery, Sant'Anna University Hospital, University of Ferrara, Ferrara, Italy.

Elisabetta Marangoni (E)

Unit of Anesthesia and Intensive Care, Department of Morphology, Experimental Medicine and Surgery, Sant'Anna University Hospital, University of Ferrara, Ferrara, Italy.

Federico Franchi (F)

Department of Medical Biotechnologies, Anesthesiology and Intensive Care, University Hospital of Siena, Siena, Italy.

Sabino Scolletta (S)

Department of Medical Biotechnologies, Anesthesiology and Intensive Care, University Hospital of Siena, Siena, Italy.

Carlo A Volta (CA)

Unit of Anesthesia and Intensive Care, Department of Morphology, Experimental Medicine and Surgery, Sant'Anna University Hospital, University of Ferrara, Ferrara, Italy.

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