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Article

Fungal Pathogens as Causes of Acute Respiratory Illness in Hospitalized Veterans: Frequency of Fungal Positive Test Results Using Rapid Immunodiagnostic Assays

1
Centers for Disease Control and Prevention (CDC), Atlanta, GA 30329, USA
2
Center of Expertise in Mycology Radboudumc, Canisius Wilhelmina Hospital, 6532 SZ Nijmegen, The Netherlands
3
Studies in Translational Microbiology and Emerging Diseases (MICROS) Research Group, School of Medicine and Health Sciences, Universidad del Rosario, Bogota 111221, Colombia
4
Michael E. DeBakey VA Medical Center, Houston, TX 77030, USA
5
US Public Health Service, Rockville, MD 20852, USA
6
Oregon Health Authority, Portland, OR 97232, USA
*
Author to whom correspondence should be addressed.
J. Fungi 2023, 9(4), 456; https://doi.org/10.3390/jof9040456
Submission received: 13 February 2023 / Revised: 1 April 2023 / Accepted: 3 April 2023 / Published: 8 April 2023

Abstract

:
Fungal respiratory illnesses caused by endemic mycoses can be nonspecific and are often mistaken for viral or bacterial infections. We performed fungal testing on serum specimens from patients hospitalized with acute respiratory illness (ARI) to assess the possible role of endemic fungi as etiologic agents. Patients hospitalized with ARI at a Veterans Affairs hospital in Houston, Texas, during November 2016–August 2017 were enrolled. Epidemiologic and clinical data, nasopharyngeal and oropharyngeal samples for viral testing (PCR), and serum specimens were collected at admission. We retrospectively tested remnant sera from a subset of patients with negative initial viral testing using immunoassays for the detection of Coccidioides and Histoplasma antibodies (Ab) and Cryptococcus, Aspergillus, and Histoplasma antigens (Ag). Of 224 patient serum specimens tested, 49 (22%) had positive results for fungal pathogens, including 30 (13%) by Coccidioides immunodiagnostic assays, 19 (8%) by Histoplasma immunodiagnostic assays, 2 (1%) by Aspergillus Ag, and none by Cryptococcus Ag testing. A high proportion of veterans hospitalized with ARI had positive serological results for fungal pathogens, primarily endemic mycoses, which cause fungal pneumonia. The high proportion of Coccidioides positivity is unexpected as this fungus is not thought to be common in southeastern Texas or metropolitan Houston, though is known to be endemic in southwestern Texas. Although serological testing suffers from low specificity, these results suggest that these fungi may be more common causes of ARI in southeast Texas than commonly appreciated and more increased clinical evaluation may be warranted.

1. Introduction

Pneumonia was the ninth leading cause of death in the United States before the COVID-19 pandemic, resulting in ~50,000 deaths annually and responsible for >1.5 million emergency department visits in 2018 [1,2]. Viral infections are thought to be the most common cause of pneumonia, led by influenza, respiratory syncytial virus (RSV), and rhinovirus infections [3]. Bacteria are also common causes of pneumonia, particularly Streptococcus pneumoniae and Mycoplasma pneumoniae, accounting for ~14% of community-acquired pneumonia (CAP) requiring hospitalization in adults in the United States [4]. Acute respiratory infections or illnesses (ARI) constitute a broader range of conditions beyond CAP, which are leading causes of childhood mortality globally [5,6].
Fungal infections are established causes of ARI and CAP, but their frequency is generally not well defined, and it is rarely possible to clinically distinguish these infections from viral and bacterial infections [7,8,9,10,11]. Nevertheless, fungal infections are infrequently considered or tested for by clinicians who care for ARI or CAP patients. For example, the largest U.S. CAP study to date, involving 2259 patients, tested for a wide range of viral and bacterial pathogens but did not include systematic fungal testing; despite the lack of inclusion, clinician-ordered tests detected Coccidioides and Histoplasma infections [4]. In a 2020 survey among U.S. healthcare providers, <4% reported frequently testing CAP patients for coccidioidomycosis or histoplasmosis, with some variability by geography [9]. Although fungal diagnosis guidelines exist, the paucity of testing is consistent with the Infectious Disease Society of America and American Thoracic Society guidelines for CAP, which do not include fungal diseases [12,13]. Since the burden of fungal ARIs remains largely unknown, the relevance of testing in most regions is also unclear. Among the few places in which the contribution of fungal infections to CAP has been assessed are southern Arizona and southern California, where coccidioidomycosis has been found to be a leading cause of pneumonia, accounting for 15–30% of CAP cases and involving thousands of cases annually [14,15,16,17].
However, even in endemic areas where CAP patients often initially present, providers infrequently test for coccidioidomycosis, resulting in delayed diagnosis and appropriate treatment [9,11,18,19]. Testing is likely even more uncommon across the disease’s far wider endemic area, which likely encompasses much of the western United States, including much of Texas, as well as northern Mexico and other parts of Latin America, where serological diagnostics may not be available. Histoplasmosis occurs across much of the central and eastern United States, including eastern Texas, and increasing evidence suggests it also occurs across the country and the world, frequently undetected and misdiagnosed [20,21]. When cases are detected, it is often incidentally, when Histoplasma is identified by culture or on biopsy, rather than through directed antigen or antibody testing [22]. Diagnosis with coccidioidomycosis and histoplasmosis typically follows multiple healthcare provider visits for symptoms and 2–3 courses of ineffective antibiotics, which pose risks of adverse effects, microbiome derangement, and resistance development [9,11,16,18,19].
Other fungi can also cause lung infections, including Cryptococcus species, primarily the C. neoformans and C. gattii species complexes, and mold such as Aspergillus species [23,24,25,26,27]. Their contribution to the overall ARI burden is unclear, although thought to be low. However, Aspergillus species are a frequent cause of lung infections in severely immunocompromised patients and have been increasingly documented as co-infections in severely ill patients with or without influenza and COVID-19 [28,29,30,31,32].
We aimed to examine the prevalence of positive fungal immunodiagnostics for often-overlooked fungal diseases as potential causes of ARI in hospitalized patients with negative viral or bacterial testing. We analyzed remnant serum specimens collected as part of a larger ARI surveillance at a large reference Veterans Affairs Medical Center (VAMC) with a patient catchment from Houston, Texas, and surrounding areas.

2. Materials and Methods

Patient population: The Surveillance Platform for Enteric and Respiratory Infectious Organisms at the VA (SUPERNOVA) is a network of five U.S. Veterans Affairs Medical Centers (VAMC) that conducts active and passive surveillance for ARI, and includes laboratory testing for viral pathogens [33]. Our fungal serologic study examined remnant sera that were collected as part of the larger SUPERNOVA study during November 2016–August 2017 at the Michael E. DeBakey VAMC (MEDVAMC) in Houston, Texas. For this study, the remnant sera were collected from subset of patients enrolled in the SUPERNOVA study.
ARI was defined broadly, and patients were eligible for inclusion if they were admitted for <72 h with any of the following symptoms or syndromes:
  • Influenza-like disease, influenza, upper respiratory infection (URI), viral URI, cough, or bronchitis;
  • Pneumonia, bacterial pneumonia, community-acquired pneumonia, aspiration pneumonia, rule-out pneumonia, evaluate pneumonia, or bibasilar pneumonia;
  • Chronic obstructive pulmonary disease (COPD) exacerbation, asthma exacerbation, status asthmaticus, or asthmatic bronchitis;
  • Acute respiratory distress syndrome (ARDS), fever, nasal congestion, chest congestion, sore throat, chills, body aches/myalgias, fatigue, respiratory distress, shortness of breath, difficulty in breathing, dyspnea, sepsis, cystic fibrosis exacerbation, respiratory medical other, congestive heart failure, idiopathic pulmonary fibrosis, altered mental status and new onset, exacerbation, or change of two or more of the following symptoms with at least one respiratory symptom beginning less than 10 days;
    o
    Respiratory symptoms: cough, shortness of breath, nasal congestion, chest congestion, or sore throat;
    o
    Constitutional symptoms: fever/feverishness, chills, body aches/myalgias, or fatigue.
Patients were excluded if they were >72 h from admission, transferred from another hospital after an admission of >48 h, had ARI duration of >10 days, or were previously enrolled in SUPERNOVA within the previous 30 days.
Following enrollment, SUPERNOVA study staff collected specimens from enrolled patients within 72 h of admission. Specimens included a mid-turbinate nasal swab, oropharyngeal (OP) swab, and a serum specimen obtained from venous blood phlebotomy. Mid-turbinate nasal and OP swabs were obtained using flocked swabs and placed in universal transport media (UTM) for molecular detection of pathogens. One swab was placed into a single nostril to collect epithelial cells and absorb secretions, and a second swab was used to swab the posterior pharynx. For intubated patients, a tracheal aspirate sample or bronchoalveolar lavage (BAL) was considered an acceptable alternative to mid-turbinate and OP swabs. The swabs placed in UTM were stored at 2–8 °C until processing (within 72 h).
Data collection: Basic demographic, laboratory, and clinical information were collected for each enrolled patient. Surveillance personnel used a standardized case report form (CRF) to abstract data from medical records. Data were abstracted into a REDCap database with restricted access to individuals with secure login credentials [34]. No patient identifiers were linked to CRF data or specimens.
Laboratory testing: The MEDVAMC Supernova research team tested respiratory specimens at the time of enrollment using BioFire (BioFire Diagnostics, LLC, Salt Lake City, UT, USA), which tested for viruses such as influenza, RSV, parainfluenza, human metapneumovirus, rhinoviruses/enteroviruses, and adenovirus, and bacteria such as Bordetella parapertussis, Bordetella pertussis, Chlamydia pneumoniae, and Mycoplasma pneumoniae. Specimens were also tested for bacterial culture. The CDC Mycotic Diseases Branch (MDB) Laboratory retrospectively performed fungal immunodiagnostic assays on remnant serum specimens on a subset of patients.
Coccidioides antibody (Ab) testing: We used the clarus Coccidioides Ab enzyme immunoassay (EIA) (CAb EIA) (Product reference CAB102, IMMY®, Norman, OK, USA) for the detection of IgM and IgG Ab, and the sōna Coccidioides Ab lateral flow assay (LFA) for the detection of total Ab (CAb LFA) (Product reference CTA2003, IMMY®, Norman, OK, USA). EIA results were grouped into three categories: positive CF (IgG) or TP (IgM) ≥ 1.5; indeterminate CF or TP ≥ 1–< 1.5; negative CF or TP < 1. Specimens were also tested by immunodiffusion (ID) for the detection of anti-Coccidioides IgG (CAb ID) in a CLIA-certified laboratory at MDB.
Histoplasma antigen (Ag) and Ab testing: We used the clarus Histoplasma galactomannan EIA (HisAg EIA) (Product reference HGM201, IMMY®, Norman, OK, USA), which detects Histoplama Ag in urine specimens. Since urine specimens were unavailable for this study, we validated the antigen test in serum specimens. The validation was completed using a standardized reference panel of serum specimens collected as part of a prospective study [35] (Appendix A). We used the same cutoff for urine specimens (0.2 ng/mL) based on this validation. Specimens were stored at −80 °C and were prepared and pretreated according to the protocol for the Bio-Rad® Platelia Aspergillus kit; this pretreatment reduces the likelihood of false positive results. The supernatant of the pretreated serum was tested according to the HisAg EIA manufacturer’s instructions. Serum specimens were also tested using MDB’s anti-Histoplasma Ab ID assay (HisAb ID). For HisAb ID, we looked for the presence of two precipitins against the M and H antigens (H and M bands).
Cryptococcus and Aspergillus Ag testing: Cryptococcus Ag testing was performed using a commercial LFA kit (CrAg® LFA. Product reference CR2003, IMMY®, Norman, OK, USA) and Aspergillus Ag using the Platelia Aspergillus kit (AspAg EIA) (Product reference 62794, Bio-Rad®, Hercules, CA, USA). Testing was performed according to the manufacturer’s instructions.
Case definition: We defined patients who tested positive for any of the fungal serologic tests as those with positive fungal testing (i.e., Cab EIA, Cab LFA, Cab ID, HisAg EIA, HisAb ID, CrAg LFA, and AspAg EIA). Coccidioides antibody tests are commonly used for the diagnosis of recent and/or active infection, although cross-reactivity with Histoplasma and Blastomyces cannot be ruled out. Histoplasma antibody tests could help increase the specificity of Histoplasma infection, although prior infections and cross-reactivity with Blastomyces cannot be ruled out. We grouped those with no positive fungal test results as patients with negative fungal test results.
Statistical analysis: Characteristics of patients with positive or negative results by fungal testing were examined. Odds ratios (OR) and 95% confidence intervals (CI) were calculated using binomial logistic regression with p < 0.05 considered statistically significant. Analyses were performed using the software EPIDAT 3.1 and Stata 11.0.
Patient consent statement: This study was reviewed and approved by the MEDVAMC Research and Development Committee (VA ID: 15J03.HB), Baylor College of Medicine (IRB #: H-37327) and the Centers for Disease Control and Prevention. Written consent was obtained from study participants. All clinical information from the participants in the study were anonymized in a database using an alphanumerical code.

3. Results

During November 2016–August 2017, 328 hospitalized patients met the criteria for ARI on admission. We received remnant sera for 224 (68%) ARI hospitalized patients.
Of the 224 ARI patients in our investigation cohort, 22% (49/224) tested positive by one or more of the fungal immunodiagnostic assays. Thirty (13%) patient specimens tested positive by Coccidioides antibody tests, nineteen (8%) by Histoplasma immunodiagnostic assays, two (1%) by Aspergillus Ag, and none by Cryptococcus Ag testing; two (1%) tested positive by both Coccidioides and Histoplasma immunodiagnostic assays (Figure 1). Ten patients with positive fungal results also had results indicative of primary viral (seven influenza) or bacterial infections (two bacteremia). Two additional patients grew coagulase-negative Staphylococcus in blood cultures that were considered contaminants (Table 1).
Almost all the patients were men (96%) with a median age of 68 years old (interquartile range 62–73 years). Three quarters (77%; n = 172) of patients received antibacterial medications, and 8% (n = 18) received antiviral treatments; no patient received antifungal medications. Fifteen percent of patients were hospitalized in the intensive care unit (ICU), and 5% were intubated for mechanical respiratory support; 218 (97%) were discharged alive. No significant differences were observed in the demographic characteristics between patients who had a positive fungal test compared to those with a negative fungal test (Table 1). Diarrhea was associated with patients who had positive fungal results (OR 2.03, 95% CI 1.04–3.95). Fatigue (OR 0.42, CI 0.19–0.93), headache (OR 0.49, CI 0.25–0.98), and productive cough (OR 0.39, CI 0.19–0.81) were associated with patients with negative fungal results (Table 1).
Coccidioides: Of the thirty patients that tested positive by Coccidioides Ab, thirteen tested positive by Cab LFA; ten of these thirteen patients had indeterminate results by Cab EIA. Eight were positive by Cab EIA only (one positive by IgM EIA and seven positive by IgG EIA). Six were positive by both Cab LFA and Cab EIA (all IgG) and one positive by CLIA ID (Figure 1). The EIA-IgM-positive patient had an EIA index of 3.5 and IgM-positive patients had EIA index ranging 1.5–3.9. Patients with positive Coccidioides Ab presented with similar demographic and clinical features compared to those with a negative fungal test result. Three patients were admitted to the ICU; all patients were discharged alive (Table 1).
Histoplasma: Nineteen (8%) patients had a positive Histoplasma immunodiagnostic result, including sixteen (7%) by HisAg EIA for Ag with Histoplasma Ag concentrations ranging 0.2 ng/mL–5.4 ng/mL, and three (1%) by Histoplasma ID for Ab. Three specimens yielded an M band and one yielded both an H and M band. Two specimens (one by EIA and one by ID) also had positive tests for Coccidioides. We found no significant differences in demographic characteristics between patients with positive Histoplasma results and patients with a negative fungal test (Table 1). Two of the six patients also tested positive for Coccidioides. Four patients were admitted to the ICU; all patients survived to discharge (Table 1).
Aspergillus: Two patients (1%) tested positive by the AspAg EIA, one with an index of 1.3, and another with an index of 0.5 (Figure 1). One patient received ICU care (Table 1). Both patients were discharged alive.

4. Discussion

In this investigation of veterans hospitalized with ARI from southeastern Texas, a high proportion of hospitalized ARI patients had positive serological results for fungal pathogens that can cause pneumonia, nearly all (96%, 47/49) of which were for Coccidioides or Histoplasma. Fourteen percent of patients with a positive fungal test had severe disease requiring ICU admission. Although serological testing suffers from the possibility of cross-reactivity and potential false positivity, the results suggest that these fungi may be more common causes of ARI in southeast Texas than commonly appreciated. Since none of these patients were specifically interviewed for endemic fungi risk factors, tested for, or diagnosed with these infections while hospitalized, we cannot assess for past infection and/or if the clinical presentation was related to a fungal infection. Further assessment of endemic mycoses as causes of ARI and CAP in hospitalized patients is warranted, since a lack of fungal disease testing can lead to under-recognition, misdiagnosis, inappropriate antibiotic use, lack of antifungal treatment, and poorer outcomes [7,9,10,15,16,36].
Distinguishing symptoms of fungal versus non-fungal infections is challenging. In our comparisons of individuals with positive and negative fungal results, we did not find significant differences between most of the signs and symptoms that ARI patients displayed. This finding is similar to the results observed in a study that compared symptoms of patients with endemic mycoses versus other respiratory illnesses in commercially insured adult outpatients in the United States and other studies [7,14,37,38].
Using both Ag and Ab tests increased the detection of possible histoplasmosis, consistent with other studies [35,39,40,41,42]. It is possible that some of these infections may have resulted in non-clinically significant presentations or may reflect cross-reactivity with Coccidioides. However, given that Histoplasma testing is highly specific, with fifteen patients hospitalized and four admitted to the ICU, our analysis suggests that the Houston area may be more affected by histoplasmosis than conventionally considered [43,44,44,45,46,47].
A high proportion (13%) of ARI cases with positive Coccidioides Ab results were seen in this cohort in the Houston area that is not traditionally considered endemic for coccidioidomycosis. This proportion is only slightly lower than the ~15–30% of CAP seen in highly endemic areas. It is possible that some of these cases reflect false positives given the limitations of Coccidioides serology, including cross-reactivity with Histoplasma or Blastomyces [48,49,50,51], supported by a low number with positive immunodiffusion results. However, the immunodiffusion antibody assay has low sensitivity, particularly early in infection. That half of the positive Coccidioides results were by LFA alone also raises questions about false positivity, as LFA performance data are still limited [52]. Still, nearly half were positive by EIA, which is used widely for diagnosis in endemic areas such as Arizona and typically has good specificity (>85%), although the positive predictive value (46–90%) can vary depending on the test specificity [48,49,50].
It is possible that some positive Coccidioides tests, particularly for IgG alone, represent past infection; however, Coccidioides IgG does not persist long after the initial infection and is often used for the diagnosis of recent infections [53,54]. Houston is >100 miles east of areas of Texas with documented locally acquired coccidioidomycosis cases of an outbreak in Beeville, Texas [55]; it is also much farther northeast and much wetter than areas considered highly endemic in West Texas and along the Rio Grande Valley. However, the endemic area for coccidioidomycosis remains poorly defined and may be changing over time. Lack of travel history of these cases also limits interpretations. Further, coccidioidomycosis is not reportable in Texas, limiting our understanding of its geography and frequency of occurrence. Further assessment of coccidioidomycosis as a potential cause of ARI in Houston is warranted.
This report has several limitations, particularly the potential for false positives and cross-reactivity, as well as the inability to determine whether fungal infections, when present, were the cause of the patient’s symptoms. In addition, the study only included a single medical institution in Houston, Texas, which limits the generalizability of the results. We also could not evaluate immune conversion [51] because we did not have access to paired specimens, resulting in lower specificity.
Despite the limitations, the findings from our investigation suggest that fungal infections may be more common than appreciated in ARI, particularly since viral or bacterial etiologies were not identified in most cases. It highlights the importance for clinicians to consider and test for fungal diseases in patients with ARI, especially for those who test negative for viral or bacterial infections, to increase timely treatment and to reduce inappropriate use of antibiotics. The best diagnostic testing modality in this setting needs to be further evaluated.

Author Contributions

Conceptualization, D.H.C., B.R.J., O.Z.M. and M.T.; Methodology, D.H.C., B.R.J., O.Z.M. and M.T.; Formal analysis, D.H.C., B.R.J. and M.T.; Investigation, D.H.C., B.R.J., M.C.R.-B., L.K., D.S., B.C., M.W., M.D.L., O.Z.M., E.L.B. and M.T.; Data curation, D.H.C., B.R.J. and M.T.; Writing—original draft, D.H.C., B.R.J. and M.T.; Writing—review & editing, D.H.C., B.R.J., M.C.R.-B., L.K., D.S., B.C., M.W., M.D.L., O.Z.M., E.L.B. and M.T.; Supervision, B.R.J. and M.T. All authors have read and agreed to the published version of the manuscript.

Funding

The Supernova study was conducted through an interagency agreement between the Centers for Disease Control and Prevention (CDC) and the U.S. Department of Veterans Affairs. IAA number: 16fed1612344.

Institutional Review Board Statement

This study was reviewed and approved by the MEDVAMC Research and Development Committee (VA ID: 15J03.HB), Baylor College of Medicine (IRB #: H-37327), and the Centers for Disease Control and Prevention. Written consent was obtained from study participants. All clinical information from the participants in the study were anonymized in a database using an alphanumerical code.

Informed Consent Statement

Informed consent was obtained from all study participants involved in the study.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

Mila Prill, Sue Gerber, Gayle Langley, Gilberto Rivera, Rosalba Gomez, and Seema Jain.

Conflicts of Interest

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 (CDC) or the US Public Health Service.

Appendix A

Reference panel of serum specimens included eleven sera from people living with HIV and progressive disseminated histoplasmosis; twenty-eight sera from non-histoplasmosis cases, which included patients with tuberculosis (TB) (n = 15), cryptococcosis (n = 5), pulmonary pneumocystosis (PjP) (n = 2), and paracoccidioidomycosis (PCM) (n = 1); and five serum specimens from non-HIV infected individuals residing in a region endemic for histoplasmosis. Testing of pre-treated serum specimens showed better specificity. Testing of untreated sera showed more false positive results .
Histoplasma antigen EIA (HisAg EIA) performance in sera: Using the standardized reference panel of 39 sera specimens, we observed a sensitivity of 100% (95% CI 72–100%), specificity of 93% (95% CI 77–99%), and accuracy of 95%. The results were similar to the results of the same kit for Ag detection in urine [56].
Discrepant results included two false positives results, one from a patient with PCM (27.3 ng/mL of Histoplasma Ag), and the second from patient with TB (0.2 ng/mL of Histoplasma Ag).

References

  1. Pneumonia. 2021. Available online: https://www.cdc.gov/nchs/fastats/pneumonia.htm (accessed on 19 May 2022).
  2. Leading Causes of Death. 2021. Available online: https://www.cdc.gov/nchs/fastats/leading-causes-of-death.htm (accessed on 19 May 2022).
  3. Thompson, W.W.; Shay, D.K.; Weintraub, E.; Brammer, L.; Cox, N.; Anderson, L.J.; Fukuda, K. Mortality associated with influenza and respiratory syncytial virus in the United States. JAMA 2003, 289, 179–186. [Google Scholar] [CrossRef]
  4. Jain, S.; Self, W.H.; Wunderink, R.G.; Fakhran, S.; Balk, R.; Bramley, A.M.; Reed, C.; Grijalva, C.G.; Anderson, E.J.; Courtney, D.M.; et al. Community-Acquired Pneumonia Requiring Hospitalization among U.S. Adults. N. Engl. J. Med. 2015, 373, 415–427. [Google Scholar] [CrossRef] [Green Version]
  5. Williams, B.G.; Gouws, E.; Boschi-Pinto, C.; Bryce, J.; Dye, C. Estimates of world-wide distribution of child deaths from acute respiratory infections. Lancet Infect. Dis. 2002, 2, 25–32. [Google Scholar] [CrossRef] [PubMed]
  6. Troeger, C.; Blacker, B.; Khalil, I.A.; Rao, P.C.; Cao, J.; Zimsen, S.R.M.; Albertson, S.B.; Deshpande, A.; Farag, T.; Abebe, Z.; et al. Estimates of the global, regional, and national morbidity, mortality, and aetiologies of lower respiratory infections in 195 countries, 1990–2016: A systematic analysis for the Global Burden of Disease Study 2016. Lancet Infect. Dis. 2018, 18, 1191–1210. [Google Scholar] [CrossRef] [Green Version]
  7. Benedict, K.; Kobayashi, M.; Garg, S.; Chiller, T.; Jackson, B.R. Symptoms in blastomycosis, coccidioidomycosis, and histoplasmosis versus other respiratory illnesses in commercially insured adult outpatients, United States, 2016–2017. Clin. Infect. Dis. 2021, 77, e4336–e4344. [Google Scholar] [CrossRef] [PubMed]
  8. Lockhart, S.R.; Toda, M.; Benedict, K.; Caceres, D.H.; Litvintseva, A.P. Endemic and Other Dimorphic Mycoses in The Americas. J. Fungi. 2021, 7, 151. [Google Scholar] [CrossRef]
  9. Benedict, K.; Li, Y.; Molinari, N.A.M.; Jackson, B.R. Health Care Providers’ Testing Practices for Coccidioidomycosis and Histoplasmosis in Patients With Community-Acquired Pneumonia-United States, 2020. Open. Forum. Infect. Dis. 2021, 8, ofab020. [Google Scholar] [CrossRef]
  10. Benedict, K. Public Awareness of Invasive Fungal Diseases—United States, 2019. MMWR Morb. Mortal. Wkly. Rep. 2020, 69, 1343. [Google Scholar] [CrossRef]
  11. Benedict, K.; Jackson, B.R.; Chiller, T.; Beer, K.D. Estimation of Direct Healthcare Costs of Fungal Diseases in the United States. Clin. Infect. Dis. 2019, 68, 1791–1797. [Google Scholar] [CrossRef] [Green Version]
  12. Metlay, J.P.; Waterer, G.W.; Long, A.C.; Anzueto, A.; Brozek, J.; Crothers, K.; Cooley, L.A.; Dean, N.C.; Fine, M.J.; Flanders, S.A.; et al. Diagnosis and Treatment of Adults with Community-acquired Pneumonia. An Official Clinical Practice Guideline of the American Thoracic Society and Infectious Diseases Society of America. Am. J. Respir. Crit. Care Med. 2019, 200, e45–e67. [Google Scholar] [CrossRef] [PubMed]
  13. Hage, C.A.; Carmona, E.M.; Epelbaum, O.; Evans, S.E.; Gabe, L.M.; Haydour, Q.; Knox, K.S.; Kolls, J.K.; Murad, M.H.; Wengenack, N.L.; et al. Microbiological Laboratory Testing in the Diagnosis of Fungal Infections in Pulmonary and Critical Care Practice. An Official American Thoracic Society Clinical Practice Guideline. Am. J. Respir. Crit. Care Med. 2019, 200, 535–550. [Google Scholar] [CrossRef] [PubMed]
  14. Valdivia, L.; Nix, D.; Wright, M.; Lindberg, E.; Fagan, T.; Lieberman, D.; Stoffer, T.; Ampel, N.M.; Galgiani, J.N. Coccidioidomycosis as a Common Cause of Community-acquired Pneumonia. Emerg. Infect. Dis. 2006, 12, 958–962. [Google Scholar] [CrossRef]
  15. Chang, D.C.; Anderson, S.; Wannemuehler, K.; Engelthaler, D.M.; Erhart, L.; Sunenshine, R.H.; Burwell, L.A.; Park, B.J. Testing for Coccidioidomycosis among Patients with Community-Acquired Pneumonia. Emerg. Infect. Dis. 2008, 14, 1053–1059. [Google Scholar] [CrossRef] [PubMed]
  16. Tartof, S.Y.; Benedict, K.; Xie, F.; Rieg, G.K.; Yu, K.C.; Contreras, R.; Truong, J.; Fong, K.; Tseng, H.F.; Jacobsen, S.J.; et al. Testing for Coccidioidomycosis among Community-Acquired Pneumonia Patients, Southern California, USA1. Emerg. Infect. Dis. 2018, 24, 779–781. [Google Scholar] [CrossRef] [PubMed]
  17. Valley Fever Statistics | Coccidioidomycosis | Types of Fungal Diseases | Fungal | CDC. Available online: https://www.cdc.gov/fungal/diseases/coccidioidomycosis/statistics.html (accessed on 10 May 2022).
  18. Tsang, C.A.; Anderson, S.M.; Imholte, S.B.; Erhart, L.M.; Chen, S.; Park, B.J.; Christ, C.; Komatsu, K.K.; Chiller, T.; Sunenshine, R.H. Enhanced Surveillance of Coccidioidomycosis, Arizona, USA, 2007–2008. Emerg. Infect. Dis. 2010, 16, 1738–1744. [Google Scholar] [CrossRef] [PubMed]
  19. Chi, G.C.; Benedict, K.; Beer, K.D.; Jackson, B.R.; McCotter, O.; Xie, F.; Lawrence, J.M.; Tartof, S.Y. Antibiotic and antifungal treatment among persons with confirmed coccidioidomycosis—Southern California, 2011. Med. Mycol. 2020, 58, 411–413. [Google Scholar] [CrossRef]
  20. Ashraf, N.; Kubat, R.C.; Poplin, V.; Adenis, A.A.; Denning, D.W.; Wright, L.; McCotter, O.; Schwartz, I.S.; Jackson, B.R.; Chiller, T.; et al. Re-drawing the Maps for Endemic Mycoses. Mycopathologia 2020, 185, 843–865. [Google Scholar] [CrossRef]
  21. Histoplasmosis Statistics | Types of Diseases | Histoplasmosis | Fungal Disease | CDC. Available online: https://www.cdc.gov/fungal/diseases/histoplasmosis/statistics.html (accessed on 10 May 2022).
  22. Benedict, K.; Beer, K.D.; Jackson, B.R. Histoplasmosis-related Healthcare Use, Diagnosis, and Treatment in a Commercially Insured Population, United States. Clin. Infect. Dis. 2020, 70, 1003–1010. [Google Scholar] [CrossRef] [Green Version]
  23. Rajasingham, R.; Smith, R.M.; Park, B.J.; Jarvis, J.N.; Govender, N.P.; Chiller, T.M.; Denning, D.W.; Loyse, A.; Boulware, D.R. Global burden of disease of HIV-associated cryptococcal meningitis: An updated analysis. Lancet Infect. Dis. 2017, 17, 873–881. [Google Scholar] [CrossRef] [Green Version]
  24. Vallabhaneni, S.; Mody, R.K.; Walker, T.; Chiller, T. The Global Burden of Fungal Diseases. Infect. Dis. Clin. 2016, 30, 1–11. [Google Scholar] [CrossRef]
  25. Espinel-Ingroff, A.; Kidd, S.E. Current trends in the prevalence of Cryptococcus gattii in the United States and Canada. Infect. Drug. Resist. 2015, 8, 89–97. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Denning, D.W.; Chakrabarti, A. Pulmonary and sinus fungal diseases in non-immunocompromised patients. Lancet Infect. Dis. 2017, 17, e357–e366. [Google Scholar] [CrossRef]
  27. Colombo, A.L.; de Almeida Júnior, J.N.; Slavin, M.A.; Chen, S.C.-A.; Sorrell, T.C. Candida and invasive mould diseases in non-neutropenic critically ill patients and patients with haematological cancer. Lancet Infect. Dis. 2017, 17, e344–e356. [Google Scholar] [CrossRef]
  28. Verweij, P.E.; Rijnders, B.J.A.; Brüggemann, R.J.M.; Azoulay, E.; Bassetti, M.; Blot, S.; Calandra, T.; Clancy, C.J.; Cornely, O.A.; Chiller, T.; et al. Review of influenza-associated pulmonary aspergillosis in ICU patients and proposal for a case definition: An expert opinion. Intensive Care Med. 2020, 46, 1524–1535. [Google Scholar] [CrossRef]
  29. Schauwvlieghe, A.F.A.D.; Rijnders, B.J.A.; Philips, N.; Verwijs, R.; Vanderbeke, L.; Van Tienen, C.; Lagrou, K.; Verweij, P.E.; Van de Veerdonk, F.L.; Gommers, D.; et al. Invasive aspergillosis in patients admitted to the intensive care unit with severe influenza: A retrospective cohort study. Lancet Respir. Med. 2018, 6, 782–792. [Google Scholar] [CrossRef] [PubMed]
  30. Thevissen, K.; Jacobs, C.; Holtappels, M.; Toda, M.; Verweij, P.; Wauters, J. International survey on influenza-associated pulmonary aspergillosis (IAPA) in intensive care units: Responses suggest low awareness and potential underdiagnosis outside Europe. Crit. Care 2020, 24, 84. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  31. Janssen, N.A.F.; Nyga, R.; Vanderbeke, L.; Jacobs, C.; Ergün, M.; Buil, J.B.; van Dijk, K.; Altenburg, J.; Bouman, C.S.C.; van der Spoel, H.I.; et al. Multinational Observational Cohort Study of COVID-19–Associated Pulmonary Aspergillosis. Emerg. Infect. Dis. 2021, 27, 2892. [Google Scholar] [CrossRef] [PubMed]
  32. Jenks, J.D.; Nam, H.H.; Hoenigl, M. Invasive aspergillosis in critically ill patients: Review of definitions and diagnostic approaches. Mycoses 2021, 64, 1002–1014. [Google Scholar] [CrossRef]
  33. Meites, E.; Bajema, K.L.; Kambhampati, A.; Prill, M.; Marconi, V.C.; Brown, S.T.; Rodriguez-Barradas, M.C.; Beenhouwer, D.O.; Holodniy, M.; Lucero-Obusan, C.; et al. Adapting the Surveillance Platform for Enteric and Respiratory Infectious Organisms at United States Veterans Affairs Medical Centers (SUPERNOVA) for COVID-19 Among Hospitalized Adults: Surveillance Protocol. Front. Public Health 2021, 9, 739076. [Google Scholar] [CrossRef]
  34. Harris, P.A.; Taylor, R.; Minor, B.L.; Elliott, V.; Fernandez, M.; O’Neal, L.; McLeod, L.; Delacqua, G.; Delacqua, F.; Kirby, J.; et al. The REDCap consortium: Building an international community of software platform partners. J. Biomed. Inform. 2019, 95, 103208. [Google Scholar] [CrossRef]
  35. Caceres, D.H.; Scheel, C.M.; Tobón, A.M.; Ahlquist Cleveland, A.; Restrepo, A.; Brandt, M.E.; Chiller, T.; Gómez, B.L. Validation of an enzyme-linked immunosorbent assay that detects Histoplasma capsulatum antigenuria in Colombian patients with AIDS for diagnosis and follow-up during therapy. Clin. Vaccine. Immunol. 2014, 21, 1364–1368. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Benedict, K.; Ireland, M.; Weinberg, M.P.; Gruninger, R.J.; Weigand, J.; Chen, L.; Perez-Lockett, K.; Bledsoe, C.; Denny, L.; Cibulskas, K.; et al. Enhanced Surveillance for Coccidioidomycosis, 14 US States, 2016. Emerg. Infect. Dis. 2018, 24, 1444–1452. [Google Scholar] [CrossRef] [Green Version]
  37. Hage, C.A.; Knox, K.S.; Wheat, L.J. Endemic mycoses: Overlooked causes of community acquired pneumonia. Respir. Med. 2012, 106, 769–776. [Google Scholar] [CrossRef] [Green Version]
  38. Kim, M.M.; Blair, J.E.; Carey, E.J.; Wu, Q.; Smilack, J.D. Coccidioidal Pneumonia, Phoenix, Arizona, USA, 2000–2004. Emerg. Infect. Dis. 2009, 15, 397–401. [Google Scholar] [CrossRef] [PubMed]
  39. Caceres, D.H.; Mohd Tap, R.; Alastruey-Izquierdo, A.; Hagen, F. Detection and Control of Fungal Outbreaks. Mycopathologia 2020, 185, 741–745. [Google Scholar] [CrossRef] [PubMed]
  40. Caceres, D.H.; Zuluaga, A.; Arango-Bustamante, K.; de Bedout, C.; Tobón, Á.M.; Restrepo, Á.; Gómez, B.L.; Cano, L.E.; González, Á. Implementation of a Training Course Increased the Diagnosis of Histoplasmosis in Colombia. Am. J. Trop. Med. Hyg. 2015, 93, 662–667. [Google Scholar] [CrossRef] [Green Version]
  41. Azar, M.M.; Hage, C.A. Laboratory Diagnostics for Histoplasmosis. J. Clin. Microbiol. 2017, 55, 1612–1620. [Google Scholar] [CrossRef] [Green Version]
  42. Azar, M.M.; Hage, C.A. Clinical Perspectives in the Diagnosis and Management of Histoplasmosis. Clin. Chest. Med. 2017, 38, 403–415. [Google Scholar] [CrossRef]
  43. Benedict, K.; McCracken, S.; Signs, K.; Ireland, M.; Amburgey, V.; Serrano, J.A.; Christophe, N.; Gibbons-Burgener, S.; Hallyburton, S.; Warren, K.A.; et al. Enhanced Surveillance for Histoplasmosis—9 States, 2018–2019. Open. Forum. Infect. Dis. 2020, 7, ofaa343. [Google Scholar] [CrossRef]
  44. Armstrong, P.A.; Jackson, B.R.; Haselow, D.; Fields, V.; Ireland, M.; Austin, C.; Signs, K.; Fialkowski, V.; Patel, R.; Ellis, P.; et al. Multistate Epidemiology of Histoplasmosis, United States, 2011–2014. Emerg. Infect. Dis. 2018, 24, 425–431. [Google Scholar] [CrossRef] [Green Version]
  45. Benedict, K.; Derado, G.; Mody, R.K. Histoplasmosis-Associated Hospitalizations in the United States, 2001–2012. Open. Forum. Infect. Dis. 2016, 3, ofv219. [Google Scholar] [CrossRef] [Green Version]
  46. Baddley, J.W.; Winthrop, K.L.; Patkar, N.M.; Delzell, E.; Beukelman, T.; Xie, F.; Chen, L.; Curtis, J.R. Geographic Distribution of Endemic Fungal Infections among Older Persons, United States. Emerg. Infect. Dis. 2011, 17, 1664–1669. [Google Scholar] [CrossRef] [PubMed]
  47. Maiga, A.W.; Deppen, S.; Scaffidi, B.K.; Baddley, J.; Aldrich, M.C.; Dittus, R.S.; Grogan, E.L. Mapping Histoplasma capsulatum Exposure, United States. Emerg. Infect. Dis. 2018, 24, 1835–1839. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  48. Malo, J.; Holbrook, E.; Zangeneh, T.; Strawter, C.; Oren, E.; Robey, I.; Erickson, H.; Carranza-Chahal, R.; Durkin, M.; Thompson, C.; et al. Comparison of three anti-coccidioides antibody enzyme immunoassay kits for the diagnosis of coccidioidomycosis. Med. Mycol. 2020, 58, 774–778. [Google Scholar] [CrossRef]
  49. Grys, T.E.; Brighton, A.; Chang, Y.-H.; Liesman, R.; Bolster LaSalle, C.; Blair, J.E. Comparison of two FDA-cleared EIA assays for the detection of Coccidioides antibodies against a composite clinical standard. Med. Mycol. 2018, 57, 595–600. [Google Scholar] [CrossRef]
  50. Lindsley, M.D.; Ahn, Y.; McCotter, O.; Gade, L.; Hurst, S.F.; Brandt, M.E.; Park, B.J.; Litvintseva, A.P. Evaluation of the Specificity of Two Enzyme Immunoassays for Coccidioidomycosis by Using Sera from a Region of Endemicity and a Region of Nonendemicity. Clin. Vaccine Immunol. 2015, 22, 1090–1095. [Google Scholar] [CrossRef] [Green Version]
  51. Caceres, D.H.; Chiller, T.; Lindsley, M.D. Immunodiagnostic Assays for the Investigation of Fungal Outbreaks. Mycopathologia 2020, 185, 867–880. [Google Scholar] [CrossRef] [PubMed]
  52. Donovan, F.M.; Ramadan, F.A.; Khan, S.A.; Bhaskara, A.; Lainhart, W.D.; Narang, A.T.; Mosier, J.M.; Ellingson, K.D.; Bedrick, E.J.; Saubolle, M.A.; et al. Comparison of a Novel Rapid Lateral Flow Assay to Enzyme Immunoassay Results for Early Diagnosis of Coccidioidomycosis. Clin. Infect. Dis. 2021, 73, e2746–e2753. [Google Scholar] [CrossRef] [PubMed]
  53. Pappagianis, D.; Zimmer, B.L. Serology of coccidioidomycosis. Clin. Microbiol. Rev. 1990, 3, 247–268. [Google Scholar] [CrossRef] [PubMed]
  54. McHardy, I.H.; Dinh, B.-T.N.; Waldman, S.; Stewart, E.; Bays, D.; Pappagianis, D.; Thompson, G.R. Coccidioidomycosis Complement Fixation Titer Trends in the Age of Antifungals. J. Clin. Microbiol. 2018, 56, e01318-18. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. Barker, B.M.; Rajan, S.; De Melo Teixeira, M.; Sewnarine, M.; Roe, C.; Engelthaler, D.M.; Galgiani, J.N. Coccidioidal Meningitis in New York Traced to Texas by Fungal Genomic Analysis. Clin. Infect. Dis. 2019, 69, 1060–1062. [Google Scholar] [CrossRef] [PubMed]
  56. Cáceres, D.H.; Samayoa, B.E.; Medina, N.G.; Tobón, A.M.; Guzmán, B.J.; Mercado, D.; Restrepo, A.; Chiller, T.; Arathoon, E.E.; Gómez, B.L. Multicenter Validation of Commercial Antigenuria Reagents To Diagnose Progressive Disseminated Histoplasmosis in People Living with HIV/AIDS in Two Latin American Countries. J. Clin. Microbiol. 2018, 56, e01959-17. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1. Flow chart of specimens tested and results. (ID) immunodiffusion; (CAb LFA) Sōna Coccidioides Ab lateral flow assay; (CAb EIA) Clarus Coccidioides Ab enzyme immunoassay (CAb EIA); (HisAg EIA) Clarus Histoplasma galactomannan EIA (HisAg EIA); (AspAg EIA) Platelia Aspergillus kit.
Figure 1. Flow chart of specimens tested and results. (ID) immunodiffusion; (CAb LFA) Sōna Coccidioides Ab lateral flow assay; (CAb EIA) Clarus Coccidioides Ab enzyme immunoassay (CAb EIA); (HisAg EIA) Clarus Histoplasma galactomannan EIA (HisAg EIA); (AspAg EIA) Platelia Aspergillus kit.
Jof 09 00456 g001
Table 1. Characteristics of 224 hospitalized patients with acute respiratory illness.
Table 1. Characteristics of 224 hospitalized patients with acute respiratory illness.
CharacteristicsAll
n (%)
Positive Fungal Testing
n (%)
Negative Fungal Testing
n (%)
OR (CI)p
Total22449175
Median age (IQR)68 (11)68 (9)68 (12)--
Sex (male)214 (96)47 (96)167 (95)0.88 (0.18–4.23)0.883
Race white128 (57)26 (53)102 (58)0.80 (0.42–1.52)0.514
Race black92 (41)23 (47)69 (39)1.35 (0.71–2.57)0.346
Race unknown 4 (2)0 (0)4 (3)1.23 (0.65–2.33)0.514
Ethnicity hispanic13 (6)4 (8)9 (5)1.63 (0.48–5.56)0.428
Constitutional symptoms
Fatigue191 (85)37 (76)154 (88)0.42 (0.19–0.93)0.033 *
Loss of appetite 127 (57)25 (51)102 (59)0.73 (0.38–1.38)0.343
Chills 112 (50)22 (45)90 (51)0.76 (0.41–1.45)0.420
Myalgias 97 (43)22 (45)75 (43)1.08 (0.57–2.05)0.799
Headache 92 (41)14 (29)78 (45)0.49 (0.25–0.98)0.047 *
Fever 83 (41)16 (38)67 (42)0.85 (0.42–1.71)0.658
Confusion 69 (31)12 (24)57 (33)0.66 (0.32–1.37)0.271
Earache 20 (9)2 (4)18 (10)0.36 (0.08–1.64)0.191
Conjunctivitis 17 (8)4 (8)13 (7)1.10 (0.34–3.56)0.864
Skin rash11 (5)4 (8)7 (4)2.12 (0.59–7.56)0.247
Respiratory symptoms
Cough212 (95)48 (98)164 (94)2.92 (0.36–23.44)0.312
Productive cough137 (83)32 (67)137 (84)0.39 (0.19–0.81)0.012 *
Dyspnea208 (93)45 (92)163 (93)0.83 (0.25–2.69)0.754
Wheezing 160 (71)31 (63)129 (74)0.61 (0.31–1.20)0.155
Nasal congestion123 (59)27 (55)105 (60)0.80 (0.42–1.52)0.510
Respiratory rate 107 (48)27 (55)80 (45)1.44 (0.76–2.72)0.260
Chest retractions 95 (42)18 (37)77 (44)0.73 (0.38–1.41)0.364
Chest pain89 (40)16 (33)73 (42)0.66 (0.34–1.29)0.231
Sore of throat 77 (35)17 (35)60 (34)1.00 (0.51–1.96)0.978
Gastrointestinal symptoms
Diarrhea64 (29)20 (41)44 (25)2.03 (1.04–3.95)0.036 *
Abdominal pain51 (23)14 (29)37 (21)1.48 (0.72–3.03)0.284
Vomiting 23 (10)8 (16)15 (9)2.06 (0.82–5.21)0.123
Underlying conditions
Heart disease176 (79)38 (80)138 (79)1.04 (0.47–2.28)0.911
Genetic disorder 118 (53)26 (53)92 (53)1.01 (0.54–1.92)0.952
Neurologic disease 110 (49)25 (51)85 (49)1.10 (0.58–2.07)0.762
Diabetes 102 (46)21 (43)81 (46)0.87 (0.45–1.64)0.670
Emphysema 98 (44)16 (33)82 (47)0.54 (0.28–1.07)0.079
Oxygen support 84 (38)20 (41)64 (37)1.18 (0.62–2.26)0.607
Tobacco smoker 71 (32)21 (43)50 (29)1.87 (0.97–3.60)0.060
Cancer 61 (27)16 (33)45 (26)1.40 (0.70–2.78)0.336
Kidney disease 51 (23)15 (31)36 (31)1.70 (0.84–3.46)0.141
Immunodeficiency38 (17)9 (18)29 (17)1.13 (0.49–2.58)0.767
Liver disease 25 (11)6 (12)19 (11)1.14 (0.43–3.04)0.785
Asthma 17 (8)4 (8)13 (7)1.10 (0.34–3.56)0.864
Transplant 5 (2)3 (6)2 (1)5.64 (0.91–34.76)0.062
Treatments
Antibiotics172 (77)38 (78)134 (77)1.05 (0.49–2.25)0.886
Antivirals 18 (8)5 (10)13 (7)1.41 (0.48–4.18)0.529
Hospital encounters and outcomes
ICU admission34 (15)7 (14)27 (15)0.91 (0.37–2.24)0.844
Intubated 11 (5)2 (4)9 (5)0.78 (0.16–3.75)0.762
Outcome (survived)218 (97)49 (100)169 (97)--
Negative viral testing: respiratory specimens that tested negative using approved BioFire (BioFire Diagnostics, LLC, Salt Lake City, UT, USA) for respiratory pathogens, including influenza, RSV, parainfluenza, human metapneumovirus, rhinoviruses/enteroviruses, and adenovirus. (*) p < 0.05, OR: odds ratio, CI: 95% confidence interval.
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Caceres, D.H.; Rodriguez-Barradas, M.C.; Whitaker, M.; Jackson, B.R.; Kim, L.; Surie, D.; Cikesh, B.; Lindsley, M.D.; McCotter, O.Z.; Berkow, E.L.; et al. Fungal Pathogens as Causes of Acute Respiratory Illness in Hospitalized Veterans: Frequency of Fungal Positive Test Results Using Rapid Immunodiagnostic Assays. J. Fungi 2023, 9, 456. https://doi.org/10.3390/jof9040456

AMA Style

Caceres DH, Rodriguez-Barradas MC, Whitaker M, Jackson BR, Kim L, Surie D, Cikesh B, Lindsley MD, McCotter OZ, Berkow EL, et al. Fungal Pathogens as Causes of Acute Respiratory Illness in Hospitalized Veterans: Frequency of Fungal Positive Test Results Using Rapid Immunodiagnostic Assays. Journal of Fungi. 2023; 9(4):456. https://doi.org/10.3390/jof9040456

Chicago/Turabian Style

Caceres, Diego H., Maria C. Rodriguez-Barradas, Michael Whitaker, Brendan R. Jackson, Lindsay Kim, Diya Surie, Bryanna Cikesh, Mark D. Lindsley, Orion Z. McCotter, Elizabeth L. Berkow, and et al. 2023. "Fungal Pathogens as Causes of Acute Respiratory Illness in Hospitalized Veterans: Frequency of Fungal Positive Test Results Using Rapid Immunodiagnostic Assays" Journal of Fungi 9, no. 4: 456. https://doi.org/10.3390/jof9040456

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