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

Author:

Yang Chao-Chun1ORCID,Lee Ming-Hsueh1ORCID,Liu Chia-Yen2,Lin Meng-Hung2ORCID,Yang Yao-Hsu234,Chen Kuo-Tai1ORCID,Huang Tsung-Yu567ORCID

Affiliation:

1. Department of Neurosurgery, Chang Gung Memorial Hospital, Chiayi 61363, Taiwan

2. Health Information and Epidemiology Laboratory, Chang Gung Memorial Hospital, Chiayi 61363, Taiwan

3. School of Chinese Medicine, College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan

4. Department of Traditional Chinese Medicine, Chang Gung Memorial Hospital, Chiayi 61363, Taiwan

5. Division of Infectious Diseases, Department of Internal Medicine, Chang Gung Memorial Hospital, Chiayi 61363, Taiwan

6. College of Medicine, Chang Gung University, Taoyuan 33303, Taiwan

7. Microbiology Research and Treatment Center, Chang Gung Memorial Hospital, Chiayi 61363, Taiwan

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 <0.4 103/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.

Funder

Chang Gung Medical Research Program Foundation

Publisher

MDPI AG

Subject

Plant Science,Ecology, Evolution, Behavior and Systematics,Microbiology (medical)

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