Risk Stratification of Acute Invasive Fungal Rhinosinusitis in Patients With Hematologic Pathology

Sriram Navuluri1, James Reed Gardner1, Donald Vickers1

  • 1Department of Otolaryngology-Head and Neck Surgery, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.

The Laryngoscope
|June 18, 2022
PubMed
Abstract

Insights

This study identifies objective factors for diagnosing acute invasive fungal rhinosinusitis (AIFS) in patients with hematologic malignancy. A novel scoring system using lab values and imaging is proposed to aid diagnosis.

Area of Science:

  • Otolaryngology
  • Infectious Disease
  • Hematology

Background:

  • Acute invasive fungal rhinosinusitis (AIFS) poses diagnostic challenges, particularly in immunocompromised patients.
  • Objective perioperative factors are needed to improve AIFS diagnosis.

Purpose of the Study:

  • To identify objective perioperative diagnostic factors for AIFS.
  • To develop a diagnostic scoring system for AIFS using objective criteria.

Main Methods:

  • Retrospective case-control study comparing AIFS cases with controls.
  • Analysis included laboratory values (CRP, glucose, albumin, hematocrit, platelets, ANC) and imaging findings (Lund-Mackay score, extra-sinus spread).
  • Receiver operating characteristic curves and Youden's J-statistic were used to develop a scoring system.

Main Results:

  • Patients with hematologic malignancy-related AIFS showed elevated CRP and blood glucose, and lower albumin, hematocrit, platelets, and ANC compared to controls.
  • Factors correlating with AIFS included Lund-Mackay score asymmetry, extra-sinus spread, aspergillus antigen, and diabetes mellitus.
  • A three-category scoring system (Unlikely, Indeterminate/Suspicious, Highly Likely) was developed.

Conclusions:

  • Measurable differences in lab values and imaging exist between AIFS patients with hematologic malignancy and controls.
  • Objective factors like CRP, ANC, aspergillus antigen, and imaging findings can aid AIFS diagnosis.
  • A novel scoring system requires prospective validation.