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Yang CC, Lee MH, Liu CY, Lin MH, Yang YH, Chen KT, Huang TY. The IFSD Score-A Practical Prognostic Model for Invasive Fungal Spondylodiscitis. J Fungi (Basel) 2024; 10:61. [PMID: 38248971 PMCID: PMC10819940 DOI: 10.3390/jof10010061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 01/05/2024] [Accepted: 01/11/2024] [Indexed: 01/23/2024] Open
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.
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Affiliation(s)
- Chao-Chun Yang
- Department of Neurosurgery, Chang Gung Memorial Hospital, Chiayi 61363, Taiwan; (C.-C.Y.); (M.-H.L.); (K.-T.C.)
| | - Ming-Hsueh Lee
- Department of Neurosurgery, Chang Gung Memorial Hospital, Chiayi 61363, Taiwan; (C.-C.Y.); (M.-H.L.); (K.-T.C.)
| | - Chia-Yen Liu
- Health Information and Epidemiology Laboratory, Chang Gung Memorial Hospital, Chiayi 61363, Taiwan; (C.-Y.L.); (M.-H.L.); (Y.-H.Y.)
| | - Meng-Hung Lin
- Health Information and Epidemiology Laboratory, Chang Gung Memorial Hospital, Chiayi 61363, Taiwan; (C.-Y.L.); (M.-H.L.); (Y.-H.Y.)
| | - Yao-Hsu Yang
- Health Information and Epidemiology Laboratory, Chang Gung Memorial Hospital, Chiayi 61363, Taiwan; (C.-Y.L.); (M.-H.L.); (Y.-H.Y.)
- School of Chinese Medicine, College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan
- Department of Traditional Chinese Medicine, Chang Gung Memorial Hospital, Chiayi 61363, Taiwan
| | - Kuo-Tai Chen
- Department of Neurosurgery, Chang Gung Memorial Hospital, Chiayi 61363, Taiwan; (C.-C.Y.); (M.-H.L.); (K.-T.C.)
| | - Tsung-Yu Huang
- Division of Infectious Diseases, Department of Internal Medicine, Chang Gung Memorial Hospital, Chiayi 61363, Taiwan
- College of Medicine, Chang Gung University, Taoyuan 33303, Taiwan
- Microbiology Research and Treatment Center, Chang Gung Memorial Hospital, Chiayi 61363, Taiwan
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Adelhoefer SJ, Gonzalez MR, Bedi A, Kienzle A, Bäcker HC, Andronic O, Karczewski D. Candida spondylodiscitis: a systematic review and meta-analysis of seventy two studies. INTERNATIONAL ORTHOPAEDICS 2024; 48:5-20. [PMID: 37792014 PMCID: PMC10766661 DOI: 10.1007/s00264-023-05989-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 09/10/2023] [Indexed: 10/05/2023]
Abstract
OBJECTIVES Knowledge of Candida spondylodiscitis is limited to case reports and smaller case series. Controversy remains on the most effective diagnostical and therapeutical steps once Candida is suspected. This systematic review summarized all cases of Candida spondylodiscitis reported to date concerning baseline demographics, symptoms, treatment, and prognostic factors. METHODS A PRISMA-based search of PubMed, Web of Science, Embase, Scopus, and OVID Medline was performed from database inception to November 30, 2022. Reported cases of Candida spondylodiscitis were included regardless of Candida strain or spinal levels involved. Based on these criteria, 656 studies were analyzed and 72 included for analysis. Kaplan-Meier curves, Fisher's exact, and Wilcoxon's rank sum tests were performed. RESULTS In total, 89 patients (67% males) treated for Candida spondylodiscitis were included. Median age was 61 years, 23% were immunocompromised, and 15% IV drug users. Median length of antifungal treatment was six months, and fluconazole (68%) most commonly used. Thirteen percent underwent debridement, 34% discectomy with and 21% without additional instrumentation. Median follow-up was 12 months. The two year survivorship free of death was 80%. The two year survivorship free of revision was 94%. Younger age (p = 0.042) and longer length of antifungal treatment (p = 0.061) were predictive of survival. CONCLUSION Most patients affected by Candida spondylodiscitis were males in their sixties, with one in four being immunocompromised. While one in five patients died within two years of diagnosis, younger age and prolonged antifungal treatment might play a protective role.
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Affiliation(s)
- Siegfried J Adelhoefer
- Center for Musculoskeletal Surgery, Department of Orthopaedic Surgery, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.
| | - Marcos R Gonzalez
- Department of Orthopaedic Surgery, Musculoskeletal Oncology Service, Massachusetts General Hospital - Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA
| | - Angad Bedi
- Department of Orthopaedic Surgery, Musculoskeletal Oncology Service, Massachusetts General Hospital - Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA
- Department of Orthopaedic Surgery, University Medical Center Groningen, Hanzeplein 1, 9713, Groningen, Netherlands
| | - Arne Kienzle
- Center for Musculoskeletal Surgery, Department of Orthopaedic Surgery, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Henrik C Bäcker
- Center for Musculoskeletal Surgery, Department of Orthopaedic Surgery, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
- Department of Orthopaedic Surgery, Auckland City Hospital, 2 Park Road, Auckland, 1023, New Zealand
| | - Octavian Andronic
- Department of Orthopedic Surgery, Balgrist University Hospital, Forchstrasse 340, 8008, Zurich, Switzerland
| | - Daniel Karczewski
- Center for Musculoskeletal Surgery, Department of Orthopaedic Surgery, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
- Department of Orthopaedic Surgery, Musculoskeletal Oncology Service, Massachusetts General Hospital - Harvard Medical School, 55 Fruit Street, Boston, MA, 02114, USA
- Department of Orthopedic Surgery, Balgrist University Hospital, Forchstrasse 340, 8008, Zurich, Switzerland
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Kong Y, Wang J, Zhang N, Song S, Li B. Dexterity Analysis and Motion Optimization of In-Situ Torsionally-Steerable Flexible Surgical Robots. IEEE Robot Autom Lett 2022. [DOI: 10.1109/lra.2022.3183531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Yixuan Kong
- School of Mechanical Engineering and Automation, Harbin Institute of Technology (Shenzhen), Shenzhen, China
| | - Jiaole Wang
- School of Mechanical Engineering and Automation, Harbin Institute of Technology (Shenzhen), Shenzhen, China
| | - Ning Zhang
- School of Mechanical Engineering and Automation, Harbin Institute of Technology (Shenzhen), Shenzhen, China
| | - Shuang Song
- School of Mechanical Engineering and Automation, Harbin Institute of Technology (Shenzhen), Shenzhen, China
| | - Bing Li
- School of Mechanical Engineering and Automation, Harbin Institute of Technology (Shenzhen), Shenzhen, China
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