Related Experiment Video
Updated: May 2, 2026

Histological Quantification to Determine Lung Fungal Burden in Experimental Aspergillosis
Published on: March 9, 2018
Inflammatory indices as early predictors of mortality in mucormycosis
Burak Celik1, Fatih Gul2, Serkan Serifler3
1Department of Otorhinolaryngology, Ankara Yildirim Beyazit University School of Medicine, 06800, Ankara, Turkey. burakcelik70@gmail.com.
Objectives:
This study aimed to evaluate the predictive value of preoperative systemic inflammatory indices for in-hospital mortality in patients with sino-nasal-orbital mucormycosis.
Methods:
A retrospective review was conducted on 26 patients diagnosed with microbiologically confirmed sino-nasal-orbital mucormycosis between February 2019 and June 2024 at a tertiary referral center. Demographic, clinical, laboratory, radiological, and outcome data were collected. Systemic inflammatory indices including neutrophil-to-lymphocyte ratio (NLR), neutrophil-to-monocyte ratio (NMR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII) were calculated from routine blood counts. Patients were divided into survivor (n=14) and non-survivor (n=12) groups, and comparisons were made accordingly. ROC curve analysis was performed to assess the diagnostic performance of each marker.
Results:
The overall mortality rate was 46%. The lymphocyte count was significantly lower in the non-survivor group (p=0.027). Among the inflammatory indices, NLR, SII, and NMR were significantly higher in the non-survivor group (p=0.005, p=0.020, and p=0.023, respectively). NLR had the highest predictive value with an AUC of 0.82, sensitivity of 91.7%, and negative predictive value of 90%. COVID-19-associated mucormycosis cases demonstrated a significantly higher mortality rate (83.3%).
Conclusion:
Preoperative inflammatory indices-particularly NLR-may serve as reliable, accessible biomarkers for mortality risk stratification in patients with mucormycosis. These markers can assist in early clinical decision-making, however, these findings should be interpreted with caution given the retrospective single-center design and small sample size.

