» Articles » PMID: 35667275

Red Blood Cell Distribution Width As Prognostic Factor in Sepsis: A New Use for a Classical Parameter

Abstract

Purpose: To evaluate Red blood cell distribution width (RDW) as a sepsis prognostic biomarker.

Methods: 203 septic patients admitted to the ICU. Analysis of RDW dynamics, hospital mortality discrimination ability and the added value when incorporated to the SOFA, LODS, SAPS-II and APACHE-II scores using the AUC-ROC.

Results: Non-survivors presented higher RDW values during the first week after ICU admission (p = 0.048). Only SOFA and RDW were independently associated with mortality when adjusted by Charlson, immunosuppression, nosocomial infection, NEWS2, SAPS-II, septic shock and haemoglobin (p < 0.05). After adjustment, AUC-ROC was 0.827, 0.822, 0.824, 0.834 and 0.812 for each model including admission, 24, 48 and 72-h and 7-days RDW, respectively. When added to the scores, 24-h RDW and admission RDW improved their discrimination ability (SOFA AUC-ROC = 0.772 vs 0.812 SOFA + admission RDW, p = 0.041; LODS AUC-ROC = 0.687 vs 0.710, p = 0.002; SAPS-II AUC-ROC = 0.734 vs 0.785, p = 0.021; APACHE-II AUC-ROC = 0.672 vs 0.755, p = 0.003). Admission RDW with SOFA presented the better discrimination ability for mortality.

Conclusion: RDW is an independent prognostic marker of death in septic patients admitted in the ICU that improves SOFA, LODS, APACHE-II and SAPS-II discrimination ability. This parameter could be incorporated to the prognostic scores as a marker of systemic dysfunction and dysregulated inflammatory response.

Citing Articles

Prioritizing Patient Selection in Clinical Trials: A Machine Learning Algorithm for Dynamic Prediction of In-Hospital Mortality for ICU Admitted Patients Using Repeated Measurement Data.

Pedarzani E, Fogangolo A, Baldi I, Berchialla P, Panzini I, Khan M J Clin Med. 2025; 14(2).

PMID: 39860618 PMC: 11766334. DOI: 10.3390/jcm14020612.


Pretreatment red blood cell distribution width as a predictive marker for postoperative complications after laparoscopic pancreatoduodenectomy.

Cao X, Xu Y, Chai J, Zheng K, Kong J, Liu J World J Gastrointest Oncol. 2025; 17(1):98168.

PMID: 39817125 PMC: 11664621. DOI: 10.4251/wjgo.v17.i1.98168.


Red Blood Cell Distribution Width/Hematocrit Ratio: A New Predictor of 28 Days All-Cause Mortality of AECOPD Patients in ICU.

Long Z, Zeng Q, Ou Y, Liu Y, Hu J, Wang Y Int J Chron Obstruct Pulmon Dis. 2024; 19:2497-2516.

PMID: 39600310 PMC: 11590647. DOI: 10.2147/COPD.S492049.


Are the Hematological Parameters Useful in Differentiating Acute Pyelonephritis from Cystitis in Patients with Chronic Kidney Disease?.

Dicu-Andreescu I, Garneata L, Ciurea O, Dicu-Andreescu I, Ungureanu E, Vlad D Maedica (Bucur). 2024; 19(3):511-518.

PMID: 39553351 PMC: 11565154. DOI: 10.26574/maedica.2024.19.3.511.


Machine learning-based prediction of in-hospital mortality for critically ill patients with sepsis-associated acute kidney injury.

Gao T, Nong Z, Luo Y, Mo M, Chen Z, Yang Z Ren Fail. 2024; 46(1):2316267.

PMID: 38369749 PMC: 10878338. DOI: 10.1080/0886022X.2024.2316267.