Contemporary tools for the diagnosis and management of invasive mycoses
Abstract
Invasive fungal infections have become a major cause of morbidity and mortality over the past 3 decades. Organ transplantation, the use of aggressive chemotherapy, and the availability and widespread use of immunosuppressive treatments for many medical ailments have resulted in large populations of patients who are at risk for fungal disease. Early diagnosis and prompt therapy are instrumental to successful treatment of these infections, but conventional methods for diagnosis of fungal disease are slow and lack sensitivity. Important advances in diagnosing invasive mycoses, particularly in laboratory-based testing, have been realized over the years. Antigen-based assays, new laboratory methods for identification of fungi, and reference guidelines for susceptibility testing have been developed and validated for use in clinical laboratories. We review these technological advances and our understanding of their clinical application and impact.
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Invasive candidiasis lacks specific and objective clinical findings.
“Unfortunately, IC lacks specific and objective clinical findings.3,[50][51][52][53]”
From Fungal Sepsis: Optimizing Antifungal Therapy in the Critical Care Setting (2011) · cites this paper as [50]
Changes in immunosuppressive regimens and improved efforts to document infection may have had a greater impact on the management of invasive aspergillosis than on that of invasive candidiasis.
“On the other hand, changes in immunosuppressive regimens and improved efforts to document infection may have had a greater impact on the management of IA than on that of IC (4, 43, 44, 59, 80, 85, 164-166, 181, 266, 271, 274, 275, 276).”
From Epidemiology of Invasive Candidiasis: a Persistent Public Health Problem (2007) · cites this paper as [4]
Antifungal susceptibility testing in vitro is playing an increasing role in antifungal drug selection, as an aid in drug development studies and as a means of tracking the development of antifungal resistance in epidemiologic studies.
“Antifungal susceptibility testing in vitro is playing an increasing role in antifungal drug selection, as an aid in drug development studies and as a means of tracking the development of antifungal resistance in epidemiologic studies (4, 202, 253, 274).”
From Epidemiology of Invasive Candidiasis: a Persistent Public Health Problem (2007) · cites this paper as [4]
The susceptibility of C. glabrata to fluconazole or other azoles in the setting of prior azole exposure is not predictable and requires confirmation by real-time antifungal susceptibility testing.
“the susceptibility of this species to fluconazole, or other azoles in the setting of prior azole exposure, is not predictable and requires confirmation by 'real-time' antifungal susceptibility testing (4, 14, 91, 140, 186, 189, 274).”
From Epidemiology of Invasive Candidiasis: a Persistent Public Health Problem (2007) · cites this paper as [4]
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Algorithms for detection and identification of fungi.
M.S., Y. R. S., Murray, P. R., Baron, E. J., et al. (2006) · Cited by 35 · see citing works
Pfaller, M. A., Messer, S. A., Mills, K., Bolmström, A., & Jones, R. N. (2001) · Journal of Clinical Microbiology · doi:10.1128/jcm.39.11.3952-3954.2001 · Cited by 35 · see citing works
Self-citationCHROMagar Candida Medium for Direct Susceptibility Testing of Yeast from Blood Cultures
Tan, G. L., & Peterson, E. M. (2005) · Journal of Clinical Microbiology · doi:10.1128/jcm.43.4.1727-1731.2005 · Cited by 32 · see citing works
Brown, S. D., & Traczewski, M. M. (2006) · Journal of Clinical Microbiology · doi:10.1128/jcm.01732-06 · Cited by 30 · see citing works
Hadley, S. (2002) · Journal of Antimicrobial Chemotherapy · doi:10.1093/jac/49.2.415 · Cited by 29 · see citing works
Baddley, J. W., Patel, M., Jones, M., Cloud, G. A., Smith, A. C., & Moser, S. A. (2004) · Diagnostic Microbiology and Infectious Disease · doi:10.1016/j.diagmicrobio.2004.06.004 · Cited by 28 · see citing works
Barry, A. L., Billé, J., Brown, S. D., et al. (2003) · Journal of Clinical Microbiology · doi:10.1128/jcm.41.7.3410-3412.2003 · Cited by 22 · see citing works
Freydière, A. M., Perry, J. D., Faure, O., Willinger, B., Tortorano, A. M., Nicholson, A., Pemán, J., & Verweij, P. E. (2004) · Journal of Clinical Microbiology · doi:10.1128/jcm.42.10.4870-4872.2004 · Cited by 21 · see citing works
Jojima, H. (2001) · The Kurume Medical Journal · doi:10.2739/kurumemedj.48.117 · Cited by 16 · see citing works
Pfaller, M. A., Barry, A. L., Billé, J., et al. (2004) · Journal of Clinical Microbiology · doi:10.1128/jcm.42.4.1716-1718.2004 · Cited by 14 · see citing works
Self-citationPrognostic role of cyclin D1 in retroperitoneal sarcomas
Kim, S. H., Cho, N. H., Tallini, G., Dudas, M., Lewis, J. J., & Cordon‐Cardo, C. (2001) · Cancer · doi:10.1002/1097-0142(20010115)91:2 · Cited by 13 · see citing works
Quality Control Parameters for Broth Microdilution Tests of Anidulafungin
Krisher, K., Brown, S. D., & Traczewski, M. M. (2004) · Journal of Clinical Microbiology · doi:10.1128/jcm.42.1.490.2004 · Cited by 11 · see citing works
Molecular Detection and Characterization of Fungal Pathogens
Bretagne, S. (2011) · Molecular Microbiology · doi:10.1128/9781555816834.ch42 · Cited by 6 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Epidemiology of Invasive Candidiasis: a Persistent Public Health Problem
Pfaller, M. A., & Diekema, D. J. (2007) · Clinical Microbiology Reviews · doi:10.1128/cmr.00029-06 · Cited by 4,174 · see citing works
Self-citationEpidemiology of Invasive Mycoses in North America
Pfaller, M. A., & Diekema, D. J. (2010) · Critical Reviews in Microbiology · doi:10.3109/10408410903241444 · Cited by 901 · see citing works
Self-citationChanging epidemiology of systemic fungal infections
Richardson, M., & Lass-Flörl, C. (2008) · Clinical Microbiology and Infection · doi:10.1111/j.1469-0691.2008.01978.x · Cited by 524 · see citing works
Pfaller, M. A., Messer, S. A., Woosley, L. N., Jones, R. N., & Castanheira, M. (2013) · Journal of Clinical Microbiology · doi:10.1128/jcm.00308-13 · Cited by 237 · see citing works
Self-citationFungal Sepsis: Optimizing Antifungal Therapy in the Critical Care Setting
Lepak, A., & Andes, D. (2011) · Critical Care Clinics · doi:10.1016/j.ccc.2010.11.001 · Cited by 62 · see citing works
- Authors
- Alexander, B. D., & Pfaller, M. A.
- Affiliations
- Duke University (US)
- University of Iowa (US)
- Corresponding author
- Alexander, Barbara D.
- Venue
- Clinical Infectious Diseases
- Publisher
- Oxford University Press (OUP)
- Published
- 2006-08-01
- Volume
- 43
- Issue
- Supplement_1
- Pages
- S15-S27
- ISSN
- 1058-4838 (ISSN-L)
- 1537-6591
- OpenAlex
- W2043365705
- Cited by
- 147
- References
- 107
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 4 · 2023: 2 · 2022: 5 · 2021: 3 · 2020: 1 · 2019: 3 · 2018: 8 · 2017: 11 · 2016: 7 · 2015: 11 · 2014: 7 · 2013: 9 · 2012: 7
- FWCI
- 8.47
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Clinical Infectious Diseases (publishedVersion)
- Topics
- Health Sciences › Medicine › Infectious Diseases › Antifungal resistance and susceptibility
- Health Sciences › Medicine › Epidemiology › Fungal Infections and Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fungal and yeast genetics research
- Keywords
- invasive fungal infections, fungal infection diagnosis, fungal identification, antifungal susceptibility testing, immunosuppression, organ transplantation, chemotherapy, clinical laboratory testing
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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