# Improving Prognostic Accuracy of MASCC Score with Lactate and CRP Measurements in Febrile Neutropenic Patients

**Authors:** Efe Kanter, Ecem Ermete Güler, Süleyman Kırık, Tutku Duman Şahan, Melisa Buse Baygın, Emine Altınöz, Ejder Saylav Bora, Zeynep Karakaya

PMC · DOI: 10.3390/diagnostics15151922 · Diagnostics · 2025-07-31

## TL;DR

Adding lactate and CRP to the MASCC score improves predicting outcomes for patients with febrile neutropenia.

## Contribution

A new modified MASCC model combining lactate and CRP shows higher accuracy in predicting mortality and hospital admission.

## Key findings

- The MASCC-LC model achieved 99.5% accuracy in predicting 30-day mortality.
- MASCC-LC showed balanced sensitivity and specificity for hospital admission prediction.
- All modified models outperformed the original MASCC score in both endpoints.

## Abstract

Objectives: Febrile neutropenia is a common oncologic emergency with significant morbidity and mortality. Although the MASCC (Multinational Association for Supportive Care in Cancer) score is widely used for risk stratification, its limited sensitivity and lack of laboratory parameters reduce its prognostic utility. This study aimed to evaluate whether incorporating serum lactate and CRP measurements into the MASCC score enhances its predictive performance for hospital admission and the 30-day mortality. Methods: This retrospective diagnostic accuracy study included adult patients diagnosed with febrile neutropenia in the emergency department of a tertiary care hospital between January 2021 and December 2024. The original MASCC score was calculated, and three modified models were derived: the MASCC-L (lactate/MASCC), MASCC-C (CRP/MASCC) and MASCC-LC models (CRP × lactate/MASCC). The predictive accuracy for hospital admission and the 30-day all-cause mortality was assessed using ROC analysis. Results: A total of 269 patients (mean age: 67.6 ± 12.4 years) were included; the 30-day mortality was 3.0%. The MASCC-LC model demonstrated the highest discriminative ability for mortality prediction (area under the curve (AUC): 0.995; sensitivity: 100%; specificity: 98%). For hospital admission prediction, the MASCC-C model had the highest specificity (81%), while the MASCC-LC model showed the best balance of sensitivity and specificity (both 73%). All the modified models outperformed the original MASCC score regarding both endpoints. Conclusions: Integrating lactate and CRP measurements into the MASCC score significantly improves its prognostic accuracy for both mortality and hospital admission in febrile neutropenic patients. The MASCC-LC model, relying on only three objective parameters, may serve as a practical and efficient tool for early risk stratification in emergency settings.

## Linked entities

- **Chemicals:** lactate (PubChem CID 61503)

## Full-text entities

- **Genes:** CRP (C-reactive protein) [NCBI Gene 1401] {aka PTX1}
- **Diseases:** Cancer (MESH:D009369), Febrile (MESH:D000071072), Neutropenic (MESH:D044504), Febrile neutropenia (MESH:D064147), oncologic (MESH:D000072716)
- **Chemicals:** Lactate (MESH:D019344)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

30 references — full list in the complete paper: https://tomesphere.com/paper/PMC12346391/full.md

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Source: https://tomesphere.com/paper/PMC12346391