Association of red cell distribution width/albumin ratio with intraoperative blood transfusion in cervical cancer patients

PLoS One. 2022 Nov 18;17(11):e0277481. doi: 10.1371/journal.pone.0277481. eCollection 2022.

Abstract

Background: Although minimally invasive surgical techniques have reduced intraoperative bleeding, the risk of transfusion exists. However, few studies have evaluated risk factors for transfusion in radical hysterectomy. We aimed to evaluate the association between preoperative red cell distribution width/albumin ratio (RDW/albumin) and transfusion in cervical cancer patients.

Methods: We analyzed 907 patients who underwent radical hysterectomy between June 2006 and February 2015. Logistic regression and Cox regression analyses were performed to determine the risk factors for transfusion and mortality at 5-year and overall. Net reclassification improvement (NRI) and integrated identification improvement (IDI) analyses were performed to verify the improvement of the intraoperative transfusion model upon the addition of RDW/albumin.

Results: RDW/albumin was an independent risk factor for transfusion (odds ratio [OR]: 1.34, 95% confidence interval [CI]: 1.02-1.77, p = 0.035). Additionally, body mass index, operation time, laparoscopic surgery, total fluids, and synthetic colloid were risk factors for transfusion. RDW/albumin was an independent risk factor for 5-year mortality (hazard ratio [HR]: 1.51, 95% CI: 1.07-2.14, p = 0.020), and overall mortality (HR: 1.48, 95% CI: 1.06-2.07, p = 0.021). NRI and IDI analyses showed the discriminatory power of RDW/albumin for transfusion (p<0.001 and p = 0.046, respectively).

Conclusions: RDW/albumin might be a significant factor in transfusion and mortality in cervical cancer patients.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Albumins
  • Blood Transfusion
  • Erythrocyte Indices*
  • Female
  • Humans
  • Retrospective Studies
  • Uterine Cervical Neoplasms* / surgery

Substances

  • Albumins

Grants and funding

This research was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (grant number: RS-2022-00165755).