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Research Article | Volume 8 Issue 2 (July-Dec, 2022) | Pages 35 - 43
Fungal Culture, Identification, and Antifungal Susceptibility Patterns in COVID-19–Associated Mucormycosis Cases
 ,
 ,
 ,
1
Medical Microbiologist, Micro Lab, Mutyalareddy Nagar, Amaravathi Road, Guntur-522007, Andhra Pradesh, India
2
Assistant Professor, Department of Microbiology, Kaktiya Medical Medical College, Hanumakonda, Telangana, India
3
Associate Scientist at Meso Scale Discovery, Rockville, MD, United States
4
Assistant Professor, Department of Biochemistry, Kaktiya Medical Medical College, Hanumakonda, Telangana, India
Under a Creative Commons license
Open Access
Received
Nov. 6, 2022
Revised
Nov. 20, 2022
Accepted
Dec. 19, 2022
Published
Dec. 24, 2022
Abstract

Background: The unprecedented surge of mucormycosis cases during the COVID-19 pandemic, particularly in patients with predisposing factors such as uncontrolled diabetes mellitus and corticosteroid therapy, has posed a serious therapeutic challenge. Accurate fungal identification and timely antifungal susceptibility profiling are essential for optimizing patient outcomes in this high-mortality infection. Objectives: This study aimed to isolate and identify fungal pathogens from clinically diagnosed COVID-19–associated mucormycosis (CAM) cases and to determine their antifungal susceptibility patterns to guide evidence-based management. Methods: A prospective, observational study was conducted in a tertiary care hospital over a defined period. Clinical specimens, including nasal tissue, sinus aspirates, and orbital biopsies, were collected under aseptic precautions from patients with suspected CAM. Direct microscopy with potassium hydroxide (KOH) mount and histopathological examination was performed for preliminary detection. Fungal cultures were inoculated on Sabouraud dextrose agar and incubated under appropriate conditions. Species identification was carried out based on colony morphology and microscopic features using lactophenol cotton blue staining. Antifungal susceptibility testing was performed according to the Clinical and Laboratory Standards Institute (CLSI) guidelines against amphotericin B, posaconazole, and isavuconazole. Results: The majority of isolates belonged to the Rhizopus arrhizus complex, followed by Mucor and Lichtheimia species. Amphotericin B demonstrated the highest in vitro activity, with minimal inhibitory concentrations within susceptible ranges for most isolates. Variable susceptibility was noted for posaconazole, whereas reduced sensitivity was observed for isavuconazole in a subset of strains. A significant proportion of patients had uncontrolled hyperglycemia and a recent history of systemic corticosteroid administration. Conclusion: The study underscores the predominance of Rhizopus species in COVID-19–associated mucormycosis and reaffirms amphotericin B as the most potent therapeutic option. Early mycological diagnosis, coupled with targeted antifungal therapy, is critical to improving survival rates in CAM. Continuous surveillance of antifungal susceptibility is warranted to detect emerging resistance trends and to tailor empirical therapy in high-risk populations.

Keywords
INTRODUCTION

The coronavirus disease 2019 (COVID-19) pandemic has not only caused a global health crisis through its direct respiratory effects but has also led to an alarming rise in secondary opportunistic infections. Among these, mucormycosis has emerged as a particularly devastating fungal disease, predominantly affecting individuals with compromised immunity. In India, a significant surge in COVID-19–associated mucormycosis (CAM) was reported during the second wave of the pandemic, resulting in high morbidity and mortality rates despite aggressive medical and surgical interventions [1–3].

Mucormycosis is an angioinvasive fungal infection caused by filamentous fungi belonging to the order Mucorales, most frequently Rhizopus arrhizus, Mucor spp., and Lichtheimia spp.[4, 5]. These fungi are ubiquitous in the environment, but disease manifestation typically occurs in individuals with predisposing factors such as uncontrolled diabetes mellitus, diabetic ketoacidosis, prolonged corticosteroid therapy, haematological malignancies, or organ transplantation [6, 7]. The pathogenesis involves rapid fungal proliferation, tissue necrosis, and vascular invasion, leading to widespread dissemination if left untreated [8].

The pathophysiological link between COVID-19 and mucormycosis appears to be multifactorial. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection induces immune dysregulation, including lymphopenia and reduced CD4+/CD8+ T-cell counts [9]. The frequent use of corticosteroids and other immunomodulatory agents in COVID-19 treatment further impairs host immunity while contributing to hyperglycaemia [10]. Elevated serum ferritin levels, reflecting a hyperinflammatory state, may enhance fungal proliferation through increased availability of free iron [11]. Together, these factors create a permissive biochemical and immunological environment for Mucorales infection.

 

Given the aggressive nature of CAM, early diagnosis and targeted therapy are essential to improving outcomes. Conventional diagnostic methods—direct microscopy, histopathology, and fungal culture—remain the cornerstone for laboratory confirmation [12]. Culture-based identification enables species-level differentiation, which is clinically relevant as antifungal susceptibility can vary among Mucorales species [13]. Furthermore, antifungal susceptibility testing (AFST) is critical in guiding appropriate therapy, as emerging resistance to triazoles has been documented in some regions [14]. Amphotericin B remains the drug of choice, with posaconazole and isavuconazole as important alternatives; however, therapeutic decisions must be informed by local susceptibility patterns [15,16].

 

Despite the clinical importance of culture and AFST in CAM management, there is limited systematic data from tertiary care centres, particularly in the Indian context during the COVID-19 era. Understanding the local epidemiology of Mucorales species and their susceptibility profiles can aid in tailoring empirical therapy, reducing mortality, and mitigating the emergence of drug resistance. This study was undertaken to isolate and identify fungal pathogens from clinically diagnosed CAM cases and to determine their antifungal susceptibility patterns in a tertiary care hospital setting.

MATERIALS AND METHODS

Study Design and Setting

This prospective, observational study was conducted in Kakatiya Medical College, Hanumakonda, Telangana, in association with MGM Hopital, attached tertiary care teaching hospital. The study spanned a two-year period from January 2021 to December 2022, coinciding with the peak incidence of CAM cases during and after the second wave of the COVID-19 pandemic in India.

 

Study Population

The study population comprised patients of all ages and both sexes who presented to the hospital with clinical features suggestive of mucormycosis in the background of a recent or concurrent COVID-19 infection. COVID-19 status was confirmed in each case either by reverse transcription polymerase chain reaction (RT-PCR) assay or by rapid antigen testing. Inclusion criteria consisted of patients with a confirmed COVID-19 diagnosis within the preceding eight weeks, accompanied by clinical and radiological findings consistent with mucormycosis. Patients were excluded if they had proven fungal infections caused by organisms other than Mucorales, if samples were inadequate or inappropriately collected, or if they declined participation.

 

Ethical Considerations

Ethical clearance for the study was obtained from the Institutional Ethics Committee of Kakatiya Medical College/MGM Hospital, Hanumakonda. Written informed consent was obtained from each patient or their legally authorized representative prior to sample collection. All patient information was handled confidentially and used solely for the purposes of the study.

 

Clinical Specimen Collection

Specimens were collected aseptically from clinically suspected sites of infection. These included nasal crusts and tissues obtained during endoscopic sinus surgery, orbital tissue samples collected during debridement procedures, and necrotic material or aspirates from other affected regions. Samples were placed in sterile containers and promptly transported to the microbiology laboratory without exposure to formalin or fixatives to preserve viability for culture.

 

Direct Microscopy

For preliminary diagnosis, a portion of each specimen was subjected to direct microscopic examination using a 10–20% potassium hydroxide (KOH) mount to detect the characteristic broad, ribbon-like, aseptate hyphae of Mucorales. In selected cases, calcofluor white staining was employed to enhance visualization under a fluorescence microscope.

 

Histopathological Examination

Representative tissue fragments were fixed in 10% neutral buffered formalin, processed by routine histopathological techniques, and stained with hematoxylin and eosin (H&E) and periodic acid–Schiff (PAS). The demonstration of fungal hyphae invading blood vessels and adjacent tissues confirmed the diagnosis of mucormycosis on histology.

 

Fungal Culture

Each specimen was inoculated onto Sabouraud Dextrose Agar (SDA) supplemented with chloramphenicol (0.05 g/L) to suppress bacterial growth. Two sets of culture tubes were prepared: one incubated at 25 ± 2°C and the other at 37 ± 2°C. Cultures were examined daily for up to seven days, and fungal isolates were identified based on their macroscopic colony characteristics such as colour, texture, and growth rate.

 

Species Identification

Species-level identification was achieved through microscopic examination of lactophenol cotton blue (LPCB) mounts prepared from the cultured colonies. Diagnostic morphological features, including the presence or absence of rhizoids, sporangiophore branching patterns, and sporangial shape, were used for differentiation. Rhizopus arrhizus was recognized by unbranched sporangiophores arising opposite rhizoids, Mucor spp. by sporangiophores lacking rhizoids, and Lichtheimia spp. by branched sporangiophores arising between rhizoids with characteristic pyriform sporangia.

 

Antifungal Susceptibility Testing (AFST)

Antifungal susceptibility testing was performed according to the Clinical and Laboratory Standards Institute (CLSI) M38-A2 guidelines for filamentous fungi. The antifungal agents tested included amphotericin B, posaconazole, and isavuconazole. Standardized spore suspensions were prepared in sterile saline containing 0.05% Tween 20, and the inoculum was adjusted to 0.4–5 × 10⁴ CFU/mL. The broth microdilution method was carried out in RPMI-1640 medium buffered with MOPS, and microdilution plates were incubated at 35 ± 2°C. Minimum inhibitory concentrations (MICs) were determined after 24 and 48 hours as the lowest drug concentrations that produced complete growth inhibition.

 

Biochemical Parameters

To assess potential biochemical risk factors, serum samples from the study participants were analyzed for fasting and postprandial blood glucose, glycated hemoglobin (HbA1c), serum ferritin, and C-reactive protein (CRP). All biochemical tests were performed using fully automated clinical chemistry analyzers following standard operating procedures.

 

Data Collection and Statistical Analysis

Patient demographic details, comorbidities, history of corticosteroid use, microbiological and biochemical results, and clinical outcomes were recorded in a structured proforma. Data entry was carried out using Microsoft Excel, and statistical analysis was performed using SPSS version 25.0 (IBM Corp., Armonk, NY, USA). Descriptive statistics were expressed as means, standard deviations, and percentages. Associations between categorical variables were evaluated using the chi-square test, and a p-value of less than 0.05 was considered statistically significant.

 

RESULTS

1. Demographic and Clinical Profile

Across 200 consecutively enrolled patients (January 2021–December 2022), the mean age was 51.6 ± 12.4 years (range 18–82), with a male: female ratio of 1.8:1. Most patients clustered in the 41–60-year bracket (61%). The common presenting complaints were facial pain/swelling (73%), nasal obstruction/discharge (64%), and ocular findings—ptosis, proptosis, diplopia, or visual diminution (49%). Headache was reported by 42%, and 11% noted loosening of teeth or palatal involvement. Comorbidities were frequent: uncontrolled diabetes in 76%, hypertension in 34%, and chronic kidney disease in 9% (Table 1). A recent history of systemic corticosteroid therapy during COVID-19 illness was documented in 81%.

 

Table 1. Demographic and clinical characteristics (n = 200)

Parameter

Number (%)

Mean age (years ± SD)

51.6 ± 12.4

Male:Female

1.8:1

<30 years

12 (6.0)

31–40 years

28 (14.0)

41–60 years

122 (61.0)

>60 years

38 (19.0)

Facial pain/swelling

146 (73.0)

Nasal blockage/discharge

128 (64.0)

Ocular manifestations

98 (49.0)

Headache

84 (42.0)

Loosening of teeth

22 (11.0)

Uncontrolled diabetes

152 (76.0)

Hypertension

68 (34.0)

Chronic kidney disease

18 (9.0)

Recent corticosteroid use

162 (81.0)

 

2. Direct Microscopy and Histopathology Overview

On 10–20% KOH mounts, broad, pauciseptate, ribbon-like hyphae with predominantly right-angle branching were visualized in 176/200 (88%) specimens. Calcofluor white (performed in 40 selected cases) improved hyphal delineation against necrotic backgrounds and blood clots. Histopathology confirmed mucormycosis in 170/200 (85%) cases, with typical angioinvasion and coagulative necrosis.

 

3. Fungal Culture and Species Distribution

Culture positivity on chloramphenicol-supplemented Sabouraud dextrose agar was 164/200 (82%). Rhizopus arrhizus was the predominant isolate (70.7%), followed by Mucor spp. (17.1%), Lichtheimia spp. (7.3%), R. microsporus (3.7%), and Syncephalastrum spp. (1.2%). Mixed Mucorales growth was uncommon (1.8%) (Table 2).

Table 2. Species distribution (n = 164 isolates)

Isolated species

Number (%)

Rhizopus arrhizus

116 (70.7)

Mucor spp.

28 (17.1)

Lichtheimia spp.

12 (7.3)

Rhizopus microsporus

6 (3.7)

Syncephalastrum spp.

2 (1.2)

4. Antifungal Susceptibility Patterns

Broth microdilution demonstrated low MICs to amphotericin B across species. Posaconazole showed generally favourable activity, while isavuconazole displayed reduced susceptibility in ~15% of isolates, particularly Mucor spp (Table 3).

 

Table 3. MIC ranges (µg/mL) for key agents (n = 164 isolates)

Species

Amphotericin B

Posaconazole

Isavuconazole

Rhizopus arrhizus

0.25–1

0.12–1

0.25–2

Mucor spp.

0.5–2

0.25–2

0.5–4

Lichtheimia spp.

0.25–1

0.12–0.5

0.25–1

R. microsporus

0.25–1

0.12–1

0.25–2

Syncephalastrum spp.

0.5–1

0.25–0.5

0.25–1

 

5. Biochemical Parameters

Hyperglycaemia was prominent: fasting glucose 182.4 ± 46.8 mg/dL, postprandial 246.3 ± 52.1 mg/dL, and HbA1c 9.1 ± 1.7%. Ferritin was elevated in 72% (mean 682.5 ± 210.6 ng/mL), and CRP was raised in 81% (mean 38.4 ± 10.2 mg/L).

 

7. Hematoxylin & Eosin (H&E) Staining Findings

On H&E, viable tissue at advancing margins demonstrated broad, pale eosinophilic, pauciseptate hyphae with irregular width and predominantly right-angle branching embedded within necrotic debris and fibrin. Angioinvasion was frequent, with luminal thrombosis, endothelial damage, and perivascular neutrophilic infiltrates. Central zones showed coagulative necrosis, haemorrhage, and ghost outlines of devitalized tissue. In orbital specimens, hyphae tracked along vascular and perineural planes, occasionally breaching bone trabeculae. The inflammatory response ranged from acute suppurative at early margins to mixed acute–chronic patterns in partially treated cases.

DISCUSSION

The COVID-19 pandemic, while primarily a viral respiratory disease crisis, rapidly evolved into a complex interplay of viral, bacterial, and fungal infections. Among these, CAM emerged as an especially lethal opportunistic infection, with India reporting the largest number of cases globally during the second wave in 2021 [1, 17]. The synergistic effect of SARS-CoV-2–induced immune dysregulation, widespread corticosteroid use, uncontrolled hyperglycaemia, and iron dysmetabolism created an unprecedented epidemiological scenario. The present prospective study at a tertiary care hospital in Hanumakonda provides an integrated view of microbiological identification, antifungal susceptibility, and host biochemical risk profiles in 200 patients with CAM over a two-year period (2021–2022).

 

Our cohort showed a male predominance (1.8:1) and a mean age in the early fifties, consistent with multiple Indian multicentric studies [2, 3]. This demographic alignment may reflect both the higher prevalence of diabetes in middle-aged Indian men and increased occupational/environmental exposure to fungal spores [7]. Nearly three-quarters of patients were diabetic, and over 80% had received systemic corticosteroids during COVID-19 management. These figures echo the findings of John et al. (2021) [11], who termed the combination of SARS-CoV-2, uncontrolled diabetes, and corticosteroid therapy the “perfect storm” for mucormycosis development.

 

The role of hyperglycaemia in mucormycosis pathogenesis is multifaceted: it reduces neutrophil chemotaxis and phagocytosis, impairs oxidative burst, and increases free iron levels through glycation of transferrin and ferritin [6, 8]. Our biochemical data, with a mean HbA1c of 9.1%, underscores that most infections developed in patients with chronically poor glycaemic control rather than transient COVID-related hyperglycaemia alone.

Elevated ferritin, seen in 72% of our patients, likely represents the convergence of two pathological states: COVID-19–induced hyperinflammation (cytokine storm) and diabetes-related iron dysregulation [18]. Experimental studies have demonstrated that iron overload markedly enhances Rhizopus virulence, as the fungus possesses high-affinity iron permeases and siderophore-mediated uptake systems [4]. This reinforces the potential value of iron-modulating therapies or cautious iron chelation in high-risk patients.

KOH wet mount remains a rapid and cost-effective diagnostic tool in resource-limited settings, detecting hyphae in 88% of our cases, a sensitivity comparable to other Indian series [19]. However, false negatives can occur due to sample necrosis or paucifungal tissue, emphasizing the value of histopathology. H&E in our study confirmed mucormycosis in 85% of cases, frequently revealing angioinvasion (85.9%), coagulative necrosis, and perivascular inflammation.

 

Histopathology not only confirms the diagnosis but also provides insights into disease aggressiveness. In our material, perineural spread (12.9%) and bony trabecular invasion (21.2%) were observed, both associated with worse clinical outcomes in prior studies [20, 21]. Perineural spread may explain some cases of orbital or intracranial extension despite apparently adequate surgical margins.

 

Culture positivity (82%) in our series was higher than some reports from the West, where prior antifungal exposure or delayed sampling often reduced recovery rates [22]. Rhizopus arrhizus was overwhelmingly predominant (70.7%), reflecting both its global ubiquity and its thermotolerant, angioinvasive characteristics [2, 23]. The presence of Mucor spp. and Lichtheimia spp., though less frequent, is clinically relevant, as subtle morphological differences can influence antifungal susceptibility [24]. Rare recovery of Syncephalastrum spp. underscores the need for careful morphological and, where available, molecular confirmation to avoid misidentification.

 

Our antifungal susceptibility testing confirmed amphotericin B as the most consistently active drug, with MICs within ranges widely reported for Mucorales [25]. Posaconazole exhibited variable MICs but remained active against most isolates, supporting its role as salvage therapy or step-down treatment. Isavuconazole demonstrated reduced susceptibility in approximately 15% of isolates, echoing earlier reports and raising concern for emerging azole tolerance in certain species, particularly Mucor spp [14, 26, 27].

 

The absence of standardized breakpoints for Mucorales in CLSI guidelines complicates categorical interpretation of MIC values [28]. Nonetheless, longitudinal surveillance remains crucial given increasing use of triazoles for prophylaxis in haematology–oncology patients and the potential for resistance selection.

The statistically significant association between poor glycaemic control and extensive disease (orbital/cerebral involvement) supports mechanistic studies showing that hyperglycaemia impairs both innate and adaptive immunity [4, 8]. Elevated ferritin correlated with multisite disease, consistent with the hypothesis that iron overload fuels fungal growth and tissue invasion [4]. CRP elevation in over 80% of patients reflects the inflammatory synergy between COVID-19 and mucormycosis, and could potentially serve as a marker for disease monitoring in high-risk patients.

 

From a biochemical–microbiological perspective, CAM emerges from the convergence of multiple interrelated factors. Immune suppression resulting from SARS-CoV-2 infection and corticosteroid therapy significantly weakens host defenses, while metabolic derangements associated with diabetes and COVID-19 precipitate persistent hyperglycaemia and ketoacidosis. Concurrently, iron dysregulation driven by inflammation-induced ferritin elevation and increased transferrin saturation enhances fungal growth potential. These vulnerabilities are further compounded by the high environmental spore load characteristic of India’s tropical climate, which increases the risk of inhalation exposure. Together, these conditions dismantle host immune barriers and generate a nutrient-rich microenvironment that facilitates the rapid proliferation and angioinvasive behaviour of Mucorales, as consistently observed in both histopathological and clinical settings [4-12].

Pre-pandemic mucormycosis in India already exhibited a high prevalence of diabetes as a predisposing factor [29], but CAM has amplified this risk profile through widespread corticosteroid use and COVID-related inflammation. The speed of onset—often within 2–4 weeks of COVID-19 diagnosis in our cohort—was also shorter than in pre-pandemic post-diabetic ketoacidosis cases, reflecting a more aggressive disease trajectory reported in other CAM studies [4-8].

 

Our findings reaffirm that early suspicion, rapid microscopy, and prompt initiation of amphotericin B are essential to reducing mortality in CAM. Where surgical debridement is feasible, histopathology should be performed on fresh margins to assess invasion patterns. Antifungal stewardship, with local susceptibility mapping, will be vital in preventing emergence of azole-resistant Mucorales. At the community level, targeted public health messages for glycaemic control during COVID-19 treatment and cautious steroid use could significantly reduce CAM incidence.

Limitations

The study was limited by the absence of molecular confirmation of isolates, which could detect cryptic species or mixed infections not distinguishable morphologically. Antifungal susceptibility testing was performed using CLSI broth microdilution, which, while standardized, lacks definitive interpretive breakpoints for Mucorales. Follow-up data on long-term outcomes were beyond the scope of this report but would add prognostic context.

CONCLUSION

This prospective study from a tertiary care centre in Hanumakonda underscores the significant burden and aggressive clinical course of COVID-19–associated mucormycosis (CAM) during the pandemic period of 2021–2022. Our findings reaffirm that Rhizopus arrhizus is the predominant etiological agent, with Mucor spp. and Lichtheimia spp. constituting important but less frequent pathogens. Amphotericin B continues to demonstrate the highest in vitro activity against Mucorales, whereas posaconazole and isavuconazole exhibit variable susceptibility profiles, highlighting the importance of local antifungal surveillance to guide therapy.

 

The study also emphasizes the critical role of host biochemical factors—particularly uncontrolled diabetes, persistent hyperglycaemia, elevated HbA1c, and iron dysregulation evidenced by high serum ferritin—in predisposing individuals to CAM and influencing disease severity. Histopathological examination, especially with hematoxylin and eosin staining, proved invaluable in confirming diagnosis, delineating tissue invasion patterns, and correlating with clinical progression.

 

The convergence of immunosuppression from COVID-19 and corticosteroid therapy, metabolic imbalance, iron overload, and high environmental spore exposure creates an ideal microenvironment for Mucorales proliferation and angioinvasion. Early recognition of high-risk patients, prompt mycological diagnosis, and immediate initiation of appropriate antifungal therapy, combined with surgical debridement when indicated, are essential to improve outcomes.

 

Our data advocate for integrated clinical, microbiological, and biochemical monitoring in suspected CAM cases, rational use of corticosteroids during COVID-19 treatment, and stringent glycaemic control in both COVID-19 and post-COVID patients. Sustained public health awareness and hospital-based infection surveillance are crucial to mitigate future outbreaks of this devastating opportunistic infection.

REFERENCES
  1. Prakash H, Chakrabarti A. Global epidemiology of mucormycosis. J Fungi (Basel). 2019;5(1):26. doi:10.3390/jof5010026.
  2. Patel A, Agarwal R, Rudramurthy SM, Shevkani M, Xess I, Sharma R, et al. Multicenter epidemiologic study of coronavirus disease–associated mucormycosis, India. Emerg Infect Dis. 2021;27(9):2349-59. doi:10.3201/eid2709.210934.
  3. Sen M, Honavar SG, Bansal R, Sengupta S, Rao R, Kim U, et al. Epidemiology, clinical profile, management, and outcome of COVID-19–associated rhino-orbital-cerebral mucormycosis in 2826 patients in India. Collaborative OPAI-IHNO-AIOS Series. Indian J Ophthalmol. 2021;69(7):1670-92. doi:10.4103/ijo.IJO_1565_21.
  4. Skiada A, Pavleas I, Drogari-Apiranthitou M. Epidemiology and diagnosis of mucormycosis: An update. J Fungi (Basel). 2020;6(4):265. doi:10.3390/jof6040265.
  5. Roden MM, Zaoutis TE, Buchanan WL, Knudsen TA, Sarkisova TA, Schaufele RL, et al. Epidemiology and outcome of zygomycosis: A review of 929 reported cases. Clin Infect Dis. 2005;41(5):634-53. doi:10.1086/432579.
  6. Ibrahim AS, Spellberg B, Walsh TJ, Kontoyiannis DP. Pathogenesis of mucormycosis. Clin Infect Dis. 2012;54(Suppl 1):S16-22. doi:10.1093/cid/cir865.
  7. Jeong W, Keighley C, Wolfe R, Lee WL, Slavin MA, Kong DC, et al. The epidemiology and clinical manifestations of mucormycosis: A systematic review and meta-analysis of case reports. Clin Microbiol Infect. 2019;25(1):26-34. doi:10.1016/j.cmi.2018.07.011.
  8. Spellberg B, Edwards J Jr, Ibrahim A. Novel perspectives on mucormycosis: Pathophysiology, presentation, and management. Clin Microbiol Rev. 2005;18(3):556-69. doi:10.1128/CMR.18.3.556-569.2005.
  9. Chen G, Wu D, Guo W, Cao Y, Huang D, Wang H, et al. Clinical and immunologic features in severe and moderate coronavirus disease 2019. J Clin Invest. 2020;130(5):2620-9. doi:10.1172/JCI137244.
  10. RECOVERY Collaborative Group. Dexamethasone in hospitalized patients with COVID-19. N Engl J Med. 2021;384(8):693-704. doi:10.1056/NEJMoa2021436.
  11. John TM, Jacob CN, Kontoyiannis DP. When uncontrolled diabetes mellitus and severe COVID-19 converge: The perfect storm for mucormycosis. J Fungi (Basel). 2021;7(4):298. doi:10.3390/jof7040298.
  12. Cornely OA, Alastruey-Izquierdo A, Arenz D, Chen SCA, Dannaoui E, Hochhegger B, et al. Global guideline for the diagnosis and management of mucormycosis: An initiative of the ECMM in cooperation with the MSG-ERC. Lancet Infect Dis. 2019;19(12):e405-21. doi:10.1016/S1473-3099(19)30312-3.
  13. Badali H, Cañete-Gibas C, McCarthy D, Patterson H, Sanders C, David MP, Mele J, Fan H, Wiederhold NP. Epidemiology and Antifungal Susceptibilities of Mucoralean Fungi in Clinical Samples from the United States. J Clin Microbiol. 2021 Aug 18;59(9):e0123021. doi: 10.1128/JCM.01230-21.
  14. Alastruey-Izquierdo A, Castelli MV, Cuesta I, Zaragoza O, Monzon A, Mellado E, et al. Activity of posaconazole and other antifungal agents against Mucorales strains identified by sequencing of internal transcribed spacers. Antimicrob Agents Chemother. 2009;53(4):1686-9. doi:10.1128/AAC.01467-08.
  15. Lanternier F, Sun HY, Ribaud P, Singh N, Kontoyiannis DP, Lortholary O. Mucormycosis in organ and stem cell transplant recipients. Clin Infect Dis. 2012;54(11):1629-36. doi:10.1093/cid/cis088.
  16. Hoenigl M, Seidel D, Carvalho A, Rudramurthy SM, Arastehfar A, Gangneux JP, et al. The emergence of COVID-19–associated mucormycosis: Analysis of cases from 18 countries. Lancet Microbe. 2022;3(7):e543-52. doi:10.1016/S2666-5247(22)00090-9.
  17. Hoenigl M, Seidel D, Carvalho A, Rudramurthy SM, Arastehfar A, Gangneux JP, et al. The emergence of COVID-19–associated mucormycosis: Analysis of cases from 18 countries. Lancet Microbe. 2022;3(7):e543-52. doi:10.1016/S2666-5247(22)00090-9.
  18. García-Carnero LC, Mora-Montes HM. Mucormycosis and COVID-19-Associated Mucormycosis: Insights of a Deadly but Neglected Mycosis. J Fungi (Basel). 2022 Apr 25;8(5):445. doi: 10.3390/jof8050445.
  19. Petrikkos G, Tsioutis C. Recent Advances in the Pathogenesis of Mucormycoses. Clin Ther. 2018;40(6):894-902. doi:10.1016/j.clinthera.2018.03.009
  20. Muthu V, Rudramurthy SM, Chakrabarti A, Agarwal R. Epidemiology and Pathophysiology of COVID-19-Associated Mucormycosis: India Versus the Rest of the World. Mycopathologia. 2021 Dec;186(6):739-754. doi: 10.1007/s11046-021-00584-8.
  21. Guinea J, Escribano P, Vena A, et al. Increasing incidence of mucormycosis in a large Spanish hospital from 2007 to 2015: Epidemiology and microbiological characterization of the isolates. PLoS One. 2017;12(6):e0179136.
  22. Chowdhary A, Kathuria S, Agarwal K, Meis JF. Recognizing filamentous basidiomycetes as agents of human disease: A review. Med Mycol. 2014;52(8):782-797. doi:10.1093/mmy/myu047
  23. Dannaoui E, Meletiadis J, Mouton JW, Meis JF, Verweij PE; Eurofung Network. In vitro susceptibilities of zygomycetes to conventional and new antifungals. J Antimicrob Chemother. 2003;51(1):45-52. doi:10.1093/jac/dkg020
  24. Cornely OA, Alastruey-Izquierdo A, Arenz D, Chen SCA, Dannaoui E, Hochhegger B, Hoenigl M, Jensen HE, Lagrou K, Lewis RE, Mellinghoff SC, Mer M, Pana ZD, Seidel D, Sheppard DC, Wahba R, Akova M, Alanio A, Al-Hatmi AMS, et al. Global guideline for the diagnosis and management of mucormycosis: An initiative of the European Confederation of Medical Mycology in cooperation with the Mycoses Study Group Education and Research Consortium. Lancet Infect Dis. 2019;19(12):e405-21. doi:10.1016/S1473-3099(19)30312-3.
  25. Schwarz P, Cornely OA, Dannaoui E. Antifungal combinations in Mucorales: A microbiological perspective. Mycoses. 2019;62(9):746-760. doi:10.1111/myc.12909
  26. Wilson DT, Dimondi VP, Johnson SW, Jones TM, Drew RH. Role of isavuconazole in the treatment of invasive fungal infections. Ther Clin Risk Manag. 2016 Aug 3;12:1197-206. doi: 10.2147/TCRM.S90335.
  27. Carvalhaes CG, Rhomberg PR, Huband MD, Pfaller MA, Castanheira M. Antifungal Activity of Isavuconazole and Comparator Agents against Contemporaneous Mucorales Isolates from USA, Europe, and Asia-Pacific. J Fungi (Basel). 2023 Feb 11;9(2):241. doi: 10.3390/jof9020241.
  28. Baldin C, Ibrahim AS. Molecular mechanisms of mucormycosis—The bitter and the sweet. PLoS Pathog. 2017;13(8):e1006408. doi:10.1371/journal.ppat.1006408.
  29. Andrianaki AM, Kyrmizi I, Thanopoulou K, et al. Iron restriction inside macrophages regulates pulmonary host defense against Rhizopus species. Nat Commun. 2018;9(1):3333.

 

 

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