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. 2024 May 9;38(14):2831–2833. doi: 10.1038/s41433-024-03120-2

Fungal keratitis culture results from a major commercial laboratory

Kaitlin Benedict 1,, Jeremy A W Gold 1, Shawn R Lockhart 1, Dallas J Smith 1
PMCID: PMC11427136  NIHMSID: NIHMS2009453  PMID: 38724703

Introduction

In the United States, nearly 1 million healthcare visits for keratitis (inflammation of the cornea) occur each year, and an estimated 6% of suspected microbial keratitis cases are caused by fungi [1, 2]. However, data on the causative species of fungal keratitis primarily come from decades-old single-center studies [3]. To better characterize the burden of fungal keratitis and help inform treatment practices, we used data from a major national commercial laboratory to describe testing patterns and causative species.

Methods

We analyzed nationwide Labcorp data sent to the Centers for Disease Control and Prevention’s National Syndromic Surveillance Program (https://www.cdc.gov/nssp/index.html). We identified results of fungal cultures ordered during March 1, 2019–October 1, 2023 and selected patients with International Classification of Diseases, 10th Revision code H16 (keratitis) listed as a reason for testing.

Results

Among 1,160,133 fungal culture results, 5104 had keratitis listed as a reason for testing; 182 were excluded from the analysis because of missing or non-fungal results. Among the 4922 remaining results, 774 (15.7%) were positive (Table 1). Percent positivity was highest among patients aged 45–64 years (19.2%), males (17.0%), and those in the South (19.0%).

Table 1.

Fungal culture resultsa from patients with keratitis listed as a reason for testing in a large national commercial laboratory, by result, March 2019–October 2023, United States.

All results (n = 4922) Mould (n = 596) Yeast (n = 169)
n positive/n tested % positive n Column % n Column % p-value
Age group, years (n = 4812) <0.001
 0–17 10/88 11.4% 10 1.7% 0 0.0%
 18–44 164/1,152 14.2% 142 24.6% 20 12.0%
 45–64 340/1,769 19.2% 270 46.8% 65 39.2%
 65+ 238/1,803 13.2% 155 26.9% 81 48.8%
Sex (n = 4822) 0.003
 Male 381/2,247 17.0% 322 55.5% 57 34.5%
 Female 373/2,575 14.5% 258 44.5% 108 65.5%
U.S. census region (n = 4921) <0.001
 South 648/3,410 19.0% 518 86.9% 126 74.6%
 Northeast 15/157 9.6% b b b b
 West 69/996 6.9% 38 6.4% 28 16.6%
 Midwest 42/358 11.7% b b b b
Provider type (n = 4490) 0.024
 Ophthalmologist 562/3,175 17.7% 451 80.4% 106 69.7%
 Optometrist 38/338 11.2% b b b b
 Family, general practice, internal medicine 25/133 18.8% b b b b
 Hospital 25/124 20.2% 15 2.7% 10 6.6%
 Other 72/720 10.0% 52 9.3% 18 11.8%
Total 774/4,922 15.7% 596 77.9% 169 22.1%

aLogical Observation Identifiers Names and Codes (LOINC®) result codes 580-1, 17947-3, 17948-1, 17949-9, 18482-0, 42804-5, 42805-2, 51723-5, 88143-3.

bNumber <10 or number that would enable calculation of another cell <10.

Positive results (>40 different species) were 76.6% moulds and 21.8% yeasts (Table 2). Among moulds, 63.1% were hyaline (mainly Fusarium [36.2%] and Aspergillus [35.4%]), and 35.9% were dematiaceous (most frequently Bipolaris (now Curvularia) [30.8%] and Curvularia [27.6%]). Candida albicans was the most common yeast (49.1%). Mould results were more common among patients in the South (86.9% vs 74.6% of yeasts, p < 0.001).

Table 2.

Fungal culture results from patients with keratitis listed as a reason for testing in a large national commercial laboratory, March 2019–October 2023, United States.

Culture result n = 744 %
Hyaline mould 376 48.6%
 Fusarium 136 17.6%
 Aspergillus 133 17.2%
  A. fumigatus 44 5.7%
  A. niger 43 5.6%
  Unspecified Aspergillus 28 3.6%
  Other specified Aspergillus 17 2.3%
 Penicillium 18 2.4%
 Non-sporulating hyaline mould 21 2.7%
 Scedosporium 18 2.4%
 Purpureocillium 13 1.7%
Acremonium/Sarocladium 11 1.4%
 Other specified hyaline moulda 26 3.5%
Dematiaceous mould 213 27.5%
Bipolaris 66 8.5%
Curvularia 59 7.6%
Alternaria 44 5.7%
Cladosporium 21 2.7%
Other specified dematiaceous mouldb 13 1.7%
Unspecified dematiaceous mould 10 1.3%
Mucormycete mould c c
Unspecified mould c c
Yeast 169 21.8%
Candida 158 20.4%
  C. albicans 83 10.7%
  C. parapsilosis 44 5.7%
  C. tropicalis 11 1.4%
  Other Candida speciesd 20 2.7%
Othere or unspecified yeast 11 1.4%
Unspecified fungus c c

aPaecilomyces, Beauvaria, Trametes versicolor, Chrysosporium, Geotrichum, Scopulariopsis, Bjerkandera adusta, Verticillium, Trichoderma, Trichophyton, Irpex lacteus, Sepedonium.

bEpicoccum, Exserohilum, Chaetomium, Exophiala, Pithomyces, Phoma.

cNumber <10 or number that would enable calculation of another cell <10.

dC. glabrata, C. dubliniensis, C. guilliermondii, C. pelliculosa, C. orthopsilosis, C. sake, C. lipolytica.

eRhodotorula, Trichosporon.

Discussion

Our study provides updated epidemiologic data and highlights the fungal diversity implicated in keratitis throughout the United States. Consistent with previous literature, males, middle-aged adults, and residents of the South appeared to be disproportionately affected, possibly because of increased risk for occupational ocular trauma [3, 4]. The predominance of moulds in the South is also similar to results from single-centre studies and is likely related to the warmer climate [3]. The potential for climate-related geographic expansion of pathogenic fungi and antifungal resistance warrants increased attention to timely diagnosis and treatment of fungal keratitis.

Worldwide, most fungal keratitis cases are caused by Fusarium and Aspergillus [4], the most common moulds identified in this analysis. These fungi have demonstrated decreased susceptibility to natamycin and voriconazole in keratitis in India [5]. Species-level information was unavailable for most Fusarium results in this analysis; however, studies have shown that F. solani in particular appears to have higher in-vitro minimum inhibitory concentrations to multiple antifungals [6]. Dematiaceous moulds, isolated in over a quarter of results in this analysis, are also notable causes of fungal keratitis worldwide [2, 4]. The clinical differences between keratitis caused by dematiaceous and hyaline fungi, along with patient risk factors and geographic location, may help guide initial treatment decisions [4].

Limitations include the inability to identify contaminants or multiple results per patient. Furthermore, data about risk factors, clinical features, treatment, antifungal resistance, or outcomes were unavailable, and the dataset may not be nationally representative. Nonetheless, our study provides updated causative species data, which may inform future surveillance efforts and guide treatment practices.

Acknowledgements

This activity was reviewed by the CDC and was conducted consistent with applicable federal law and CDC policy (e.g., 45C.F.R. part 46.102(l)(2), 21C.F.R. part 56; 42 U.S.C. §241(d); 5 U.S.C. §552a; 44 U.S.C. §3501 et seq.). The data are fully de-identified, so this analysis was not subject to review by the Centers for Disease Control and Prevention institutional review board. The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.

Author contributions

KB performed the data analysis, and all authors contributed to interpreting the results and writing and editing the report.

Data availability

This study used third-party data that we cannot legally distribute. All relevant summary data are within the manuscript and the supporting files.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

This study used third-party data that we cannot legally distribute. All relevant summary data are within the manuscript and the supporting files.


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