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The IFSD Score—A Practical Prognostic Model for Invasive Fungal Spondylodiscitis

  • Chao Chun Yang
  • , Ming Hsueh Lee
  • , Chia Yen Liu
  • , Meng Hung Lin
  • , Yao Hsu Yang
  • , Kuo Tai Chen
  • , Tsung Yu Huang*
  • *Corresponding author for this work
  • Chang Gung Memorial Hospital
  • Chang Gung University

Research output: Contribution to journalJournal Article peer-review

1 Scopus citations

Abstract

Objectives: Invasive fungal spondylodiscitis (IFSD) is rare and could be lethal in certain circumstances. The previous literature revealed limited data concerning its outcomes. This study aimed to establish a risk-scoring system to predict the one-year mortality rate of this disease. Methods: A total of 53 patients from a multi-centered database in Taiwan were included in this study. All the clinicopathological and laboratory data were retrospectively analyzed. Variables strongly related to one-year mortality were identified using a multivariate Cox proportional hazards model. A receiver operating characteristic (ROC) curve was used to express the performance of our IFSD scoring model. Results: Five strong predictors were included in the IFSD score: predisposing immunocompromised state, the initial presentation of either radiculopathy or myelopathy, initial laboratory findings of WBC > 12.0 or <0.4 10 3/µL, hemoglobin < 8 g/dL, and evidence of candidemia. One-year mortality rates for patients with IFSD scores of 0, 1, 2, 3, and 4 were 0%, 16.7%, 56.3%, 72.7%, and 100%, respectively. The area under the curve of the ROC curve was 0.823. Conclusions: We developed a practical scoring model with easily obtained demographic, clinical, and laboratory parameters to predict the probability of one-year mortality in patients with IFSD. However, more large-scale and international validations would be necessary before this scoring model is commonly used.

Original languageEnglish
Article number61
JournalJournal of Fungi
Volume10
Issue number1
DOIs
StatePublished - 12 01 2024

Bibliographical note

Publisher Copyright:
© 2024 by the authors.

Keywords

  • Aspergillus
  • Candida
  • Chang Gung Research Database
  • fungus
  • invasive fungal infection
  • mortality
  • osteomyelitis
  • spondylodiscitis

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