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Mean Platelet Volume-to-Albumin Ratio as a Predictor of Mortality in Patients with Febrile Neutropenia: An

Jelena Dimitrijević1, Marina Čalamać1, Ognjen Đurmez1

  • 1Institute for Oncology and Radiology of Serbia, 11000 Belgrade, Serbia.

Medicina (Kaunas, Lithuania)
|April 26, 2025
PubMed
Summary
This summary is machine-generated.

The mean platelet volume (MPV)-to-albumin (ALB) ratio effectively predicts mortality in patients with febrile neutropenia (FN). This novel biomarker offers a simple tool for early risk assessment, outperforming the MASCC index for in-episode mortality prediction.

Keywords:
MASCC risk indexMPV-to-albumin ratiofebrile neutropeniaprediction of mortality

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Area of Science:

  • Oncology
  • Hematology
  • Biomarkers

Background:

  • Febrile neutropenia (FN) is a serious complication in cancer patients.
  • Early risk stratification is crucial for managing FN.
  • Current models like the MASCC index may be enhanced by novel biomarkers.

Purpose of the Study:

  • To evaluate the mean platelet volume (MPV)-to-albumin (ALB) ratio as a predictor of mortality in FN patients.
  • To compare the MPV/ALB ratio's predictive performance against the MASCC risk index.

Main Methods:

  • Prospective study of FN patients.
  • MPV/ALB ratio calculated at admission.
  • Receiver operating characteristic (ROC) curve analysis for mortality prediction.
  • Comparison with MASCC risk index for in-episode and 28-day mortality.

Main Results:

  • MPV/ALB ratio was significantly lower in non-survivors.
  • A threshold of 0.245 demonstrated high specificity and negative predictive value.
  • MPV/ALB ratio outperformed MASCC index for in-episode mortality prediction.
  • MASCC index showed slightly better performance for 28-day mortality.

Conclusions:

  • MPV/ALB ratio is a promising, accessible biomarker for FN mortality prediction.
  • Its superior performance during FN episodes highlights clinical utility for early risk assessment.
  • Further studies are needed to validate and integrate MPV/ALB into risk models.