| Literature DB >> 35770068 |
Yun He1,2,3, Hai-Lin Zheng1,2, Huan Mei1,2, Gui-Xia Lv1,2, Wei-da Liu1,2, Xiao-Fang Li1,2.
Abstract
Background: Due to more attentions paid to melanized fungi over the past few decades and under the background of the global coronavirus disease 2019 pandemic (COVID-19) the fact that the virus itself and the immunosuppressive agents such as glucocorticoids can further increase the risk of infections of deep mycoses, the number of patients with phaeohyphomycosis (PHM) has a substantial increase. Their spectrum is broad and the early diagnosis and treatments are extremely sticky. This study aims to more comprehensively understand the clinical features of phaeohyphomycosis in China over 35 years and to establish a more applicable systematical classification and severity grades of lesions to guide treatments and prognosis.Entities:
Keywords: clinical features; diagnosis; drug sensitive; epidemiology; melanized fungi; phaeohyphomycosis; risk factors; treatment strategy
Mesh:
Substances:
Year: 2022 PMID: 35770068 PMCID: PMC9235401 DOI: 10.3389/fcimb.2022.895329
Source DB: PubMed Journal: Front Cell Infect Microbiol ISSN: 2235-2988 Impact factor: 6.073
Figure 1The number of reported cases of PHM in China.
Figure 2The distribution patterns of PHM in China.
Demographics and risk factors of phaeohyphomycosis in China.
| Infection type | Total | CNS | Disseminated | Pulmonary | Deep-local | Subcutaneous | Keratitis | Superficial |
|---|---|---|---|---|---|---|---|---|
|
| n=174 | n=11 | n=11 | n=8 | n=10 | n=85 | n=26 | n=23 |
|
| 107 (61%) | 11 (100%) | 5 (45%) | 7 (88%) | 6 (60%) | 49 (58%) | 16 (62%) | 13 (57%) |
| Female | 67 (39%) | 0 (100%) | 6 (55%) | 1 (13%) | 4 (40%) | 36 (42%) | 10 (38%) | 10 (43%) |
| Age, mean (year) | 48 | 29 | 26 | 54 | 61 | 51 | 57 | 37 |
| Range (year) | 2-89 | 4-73 | 9-56 | 10-89 | 45-75 | 2-89 | 22-79 | 2-87 |
| Risk factor | ||||||||
|
| 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) |
| Heart transplantation | 1 (1%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 1 (1%) | 0 (0%) | 0 (0%) |
| Lung transplantation | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) |
| Liver transplantation | 2 (1%) | 0 (0%) | 0 (0%) | 1 (13%) | 1 (10%) | 0 (0%) | 0 (0%) | 0 (0%) |
| Kidney transplantation | 5 (3%) | 0 (0%) | 1 (9%) | 1 (13%) | 0 (0%) | 3 (4%) | 0 (0%) | 0 (0%) |
| Graft vs host disease | 1 (1%) | 0 (0%) | 1 (9%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) |
| Corticosteroid use | 20 (11%) | 0 (0%) | 1 (9%) | 1 (13%) | 1 (10%) | 14 (16%) | 0 (0%) | 3 (13%) |
| Other immunosuppressants | 9 (5%) | 0 (0%) | 0 (0%) | 1 (13%) | 1 (10%) | 5 (6%) | 0 (0%) | 2 (9%) |
| Malignancy | 9 (5%) | 1 (9%) | 1 (9%) | 0 (0%) | 2 (20%) | 4 (5%) | 1 (4%) | 0 (0%) |
| Chemotherapy | 3 (2%) | 0 (0%) | 1 (9%) | 0 (0%) | 1 (10%) | 0 (0%) | 1 (4%) | 0 (0%) |
| Neutropenia | 2 (1%) | 0 (0%) | 0 (0%) | 1 (13%) | 1 (10%) | 0 (0%) | 0 (0%) | 0 (0%) |
| HIV/AIDS | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) |
|
| 1 (1%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 1 (1%) | 0 (0%) | 0 (0%) |
| CARD9 mutation | 12 (7%) | 1 (9%) | 2 (18%) | 0 (0%) | 0 (0%) | 9 (11%) | 0 (0%) | 0 (0%) |
| Malnutrition | 10 (6%) | 0 (0%) | 2 (18%) | 1 (13%) | 1 (10%) | 6 (7%) | 0 (0%) | 0 (0%) |
| Pregnancy | 3 (2%) | 0 (0%) | 1 (9%) | 0 (0%) | 0 (0%) | 2 (2%) | 0 (0%) | 0 (0%) |
| Trauma | 65 (37%) | 2 (18%) | 5 (45%) | 0 (0%) | 4 (40%) | 25 (29%) | 22 (85%) | 7 (30%) |
| Smoke | 2 (1%) | 0 (0%) | 1 (9%) | 1 (13%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) |
| Diabetes mellitus | 20 (11%) | 2 (18%) | 1 (9%) | 0 (0%) | 4 (40%) | 12 (14%) | 0 (0%) | 1 (4%) |
| Chronic liver disease | 2 (1%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 1 (1%) | 1 (4%) | 0 (0%) |
| Chronic pulmonary disease | 11 (69%) | 0 (0%) | 1 (9%) | 2 (25%) | 0 (0%) | 8 (9%) | 0 (0%) | 0 (0%) |
| Chronic renal disease | 4 (2%) | 0 (0%) | 0 (0%) | 0 (0%) | 1 (10%) | 3 (3%) | 0 (0%) | 0 (0%) |
| Chronic heart disease | 3 (2%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 3 (3%) | 0 (0%) | 0 (0%) |
| No risk factor | 38 (22%) | 3 (27%) | 0 (0%) | 2 (25%) | 1 (10%) | 19 (22%) | 2 (8%) | 11 (48%) |
Infection types of the phaeohyphomycosis in China.
| Infection types | Subtypes | Total (Ratio%) | Reference |
|---|---|---|---|
| central nervous system infection | – | 11 (6%) | ( |
| disseminated infection | – | 11 (6%) | ( |
| pulmonary infection | – | 8 (5%) | ( |
| deep local infection | endophthalmitis | 3 (2%) | ( |
| acute invasive rhinosinusitis | 1 (1%) | ( | |
| hepatic infection | 1 (1%) | ( | |
| bone and joint infection | 2 (1%) | ( | |
| peritonitis | 1 (1%) | ( | |
| pleuritis | 1 (1%) | ( | |
| lymphnoditis | 1 (1%) | ( | |
| subcutaneous infection | 85 (49%) | ( | |
| keratitis | 26 (15%) | ( | |
| superficial infection | tinea nigra | 10 (6%) | ( |
| cutaneous | 4 (2%) | ( | |
| onychomycosis | 9 (5%) | ( |
Clinical severity gradation and criteria classification in patients with subcutaneous PHM.
| Severity Grade | Classification Criteria |
|---|---|
| Mild | a single plaque, nodule, or eschar with a diameter<5 cm |
| Moderate | single or multiple lesions such as nodules, plaques, or verrucous occurring alone or in combination, covering one or two adjacent skin areas, with a diameter between 5–15 cm |
| Severe | any type of skin lesion alone or in combination covering extensive body areas or invasion of subcutaneous fat, muscle, bone, or other adjacent tissue and not identified as the disseminated infection |
Severity gradation and clinical manifestation in patients with subcutaneous PHM.
| Severity of disease | Mild | Moderate | Severe | Total |
|---|---|---|---|---|
| n=15 | n=39 | n=31 | n=85 | |
| Diameter | ||||
| ≤5cm | 15 (100%) | 0 (0%) | 0 (0%) | 15 (18%) |
| >5cm and ≤15cm | 0 (0%) | 39 (100%) | 2 (6%) | 41 (48%) |
| >15cm | 0 (0%) | 0 (0%) | 29 (94%) | 29 (34%) |
| Adjacent Tissue Invasion | ||||
| Fat | 0 (0%) | 0 (0%) | 2 (6%) | 2 (2%) |
| Muscle | 0 (0%) | 0 (0%) | 2 (6%) | 2 (2%) |
| Nasal Mucosa | 0 (0%) | 0 (0%) | 1 (3%) | 1 (1%) |
| Maxilla | 0 (0%) | 0 (0%) | 1 (3%) | 1 (1%) |
| Type of Lesion | ||||
| Papule | 1 (7%) | 5 (13%) | 9 (29%) | 15 (18%) |
| Nodule | 5 (33%) | 17 (44%) | 16 (52%) | 38 (45%) |
| Plaque | 5 (33%) | 28 (72%) | 21 (68%) | 54 (64%) |
| Verruca | 2 (13%) | 10 (26%) | 14 (45%) | 26 (31%) |
| Tumor | 3 (20%) | 1 (3%) | 3 (10%) | 7 (8%) |
| Swelling | 0 (0%) | 7 (18%) | 4 (13%) | 11 (13%) |
| Vesicle | 0 (0%) | 0 (0%) | 1 (3%) | 1 (1%) |
| Purpura | 0 (0%) | 2 (5%) | 2 (6%) | 4 (5%) |
| Purulence | 2 (13%) | 23 (59%) | 12 (39%) | 37 (44%) |
| Black Dot | 0 (0%) | 3 (8%) | 2 (6%) | 5 (6%) |
| Errhysis | 0 (0%) | 0 (0%) | 5 (16%) | 5 (6%) |
| Ulceration | 1 (7%) | 17 (44%) | 11 (35%) | 29 (34%) |
| Necosis | 0 (0%) | 2 (5%) | 2 (6%) | 4 (5%) |
| Crust | 4 (27%) | 21 (54%) | 17 (55%) | 42 (49%) |
| Cicatricial | 0 (0%) | 3 (8%) | 7 (23%) | 10 (12%) |
| Sinus | 0 (0%) | 0 (0%) | 1 (3%) | 1 (1%) |
| Infected Body Part | ||||
| One Body Part | ||||
| Head and neck | 3 (20%) | 10 (26%) | 5 (16%) | 18 (21%) |
| Upper limb | 8 (53%) | 14 (36%) | 4 (13%) | 26 (31%) |
| Lower limb | 4 (27%) | 12 (31%) | 3 (10%) | 19 (22%) |
| Trunk | 0 (0%) | 0 (0%) | 1 (3%) | 1 (1%) |
| Bottock | 0 (0%) | 0 (0%) | 2 (6%) | 2 (2%) |
| Two Body Parts | ||||
| Head and neck+Upper limb | 0 (0%) | 1 (3%) | 2 (6%) | 3 (4%) |
| Head and neck+Trunk | 0 (0%) | 0 (0%) | 2 (6%) | 2 (2%) |
| Head and neck+Buttock | 0 (0%) | 0 (0%) | 1 (3%) | 1 (1%) |
| Upper limb+Lower limb | 0 (0%) | 0 (0%) | 3 (10%) | 3 (4%) |
| Upper limb+Trunk | 0 (0%) | 0 (0%) | 1 (3%) | 1 (1%) |
| Three Body Parts or More | 0 (0%) | 0 (0%) | 7 (23%) | 7 (8%) |
| Symptom | ||||
| Pain | 2 (13%) | 5 (13%) | 3 (10%) | 10 (12%) |
| Itchy | 3 (20%) | 9 (23%) | 9 (29%) | 21 (25%) |
Figure 3Clinical types of lesions observed in patients with PHM. (A) Glossy papules lesions on the right hand. (Reproduced from reference Linqiang et al. (2020) [original ]) (B) Yellowish verrucous plaques on the left hand. (Reproduced from reference Chen et al. (2008) [original ]) (C) Sporotrichoid nodules lesions on the left forearm. (Reproduced from reference Yu et al. (2021) [original ]) (D) Swelling erythematous erosions and necrosis on the left little finger. (Reproduced from reference Lin et al. (2009) [original ]) (E) Infiltrative erythematous plaques surrounded by little papules on the left forearm. (Reproduced from reference Wang et al. (2004) [original ]) (F) Infiltrating red plaques on both sides of the face and the upper lip; disfiguring verrucous plaques and ulcers on either side of the nasal ala. (Reproduced from reference Wang et al., (2004) [original ]) (G) (H) Nodules, papules, hemorrhagic vesicles, and pustules lesions on the bilateral forearm and trunk. (Reproduced from reference Pan et al. (2021) [original ]) (I) Infiltrative swelling erythematous plaques on the face with purulent, smelly discharge. (Reproduced from reference Yan et al. (2016) [original ]).
Figure 4Lesions of PHM with different severity grades. (A–C) Mild forms ((A): Reproduced from reference Linqiang et al. (2020) [original ]); (B): Reproduced from reference Huang et al. (2008) [original ]; (C): Reproduced from reference Lin et al. (2010) [original ]); (D–F) Moderate forms ((D): Reproduced from reference Liu et al. (2013) [original ]; (E): Reproduced from reference Yu et al. (2021) [original ]; (F): Reproduced from reference Lv et al. (2005) [original ]); (G–I) Severe forms (Reproduced from reference Huang et al. (2019) [original Figure A–C]).
Figure 5Diagnosis of a case of PHM caused by Arthrinium phaeospermum. (A) Hypertrophic verrucous plaques with basal infiltrating erythema at the distal left lower extremity in a 59-year-old female with a history of double limb amputations for 20 years; (B) Resolved lesions upon follow up after one month; (C) Hematoxylin-eosin (HE) stained tissue sections showed papillomatous hyperplasia of the spinous layer, mild interspinous cell edema, vascular hyperplasia of the dermal papillary layer, scattered dotted cell infiltration and collagen fiber hyperplasia (HE × 40); (D) Periodic acid-Schiff (PAS) stained tissue sections showed scattered hyphae on the epidermis (PAS × 100); (E) Colonies on sabouraud dextrose agar (SDA) at 26°C for 2 weeks were hairy, velvety and greyish-white on the front and orange on the back; (F) Structures under microculture on potato dextrose agar (PDA) showed that transparent conidia grew from calabash type mother cells and produced lateral conidia. The lens of the conidia eye was black and brown, with a linear bud splitting in middle latitude (lactophenol-cotton blue stain × 400); (Reproduced from reference Zhou et al. (2016) [original Figure 1–6]).
Twelve strains first reported to cause phaeohyphomycosis in the world.
| First Auther (Reference) | Year | Region | Sex/age | Subtype | Genus |
|---|---|---|---|---|---|
| Chen Qiuxia ( | 2008 | Guangdong | M/43 y | subcutaneous |
|
| Dong Mingli ( | 2008 | NA | M/77 y | subcutaneous |
|
| Dong Mingli ( | 2009 | Jiangsu | F/20 y | CNS |
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| Lv Guixia ( | 2011 | NA | M/57 y | subcutaneous |
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| Ge Yiping ( | 2012 | Zhejiang | M/7 y | subcutaneous |
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| Patrick C Y Woo ( | 2013 | Hong Kong | F/68 y | onychomycosis |
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| Chi-Ching Tsang ( | 2014 | Hong Kong | M/55 y | subcutaneous |
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| Chi-Ching Tsang ( | 2014 | Hong Kong | M/74 y | subcutaneous |
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| Wang Luxia ( | 2015 | Guangdong | M/54 y | corneal |
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| Guo Yanyang ( | 2019 | Shaanxi | F/19 y | subcutaneous |
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| Deng Linqiang ( | 2020 | Jiangxi | F/45 y | subcutaneous |
|
| Chi-Ching Tsang ( | 2021 | Hong Kong | M/65 y | Liver |
|
F, female; M, male; NA, not available
The differences in strains in PHM between China and foreign countries.
| Infection Types | Domestic (No., ratio%) | Foreign ( |
|---|---|---|
| CNS |
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| Disseminated |
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| Pulmonary |
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| Subcutaneous |
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| Keratitis |
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| Tinea nigra |
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Main differential diagnoses of phaeohyphomycosis in China.
| Associated Disease(s) | |
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| discoid lupus erythematosus, pyogenic granuloma, sarcoidosis, tophus, allergic cutaneous vasculitis, lichen planus, fixed drug eruption, pigmentary purpuric, and eczema |
HPV, human papilloma virus; HSV, herpes simplex virus; EV70, enterovirus type 70.
Therapy for phaeohyphomycosis in 174 patients in China.
| No. (Ratio%) | Total | CNS | Disseminated | Pulmonary | Deep-local | Subcutaneous | Keratitis | Superficial |
|---|---|---|---|---|---|---|---|---|
|
| n=174 | n=11 | n=11 | n=8 | n=10 | n=84 | n=26 | n=23 |
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| 9 (5%) | 2 (18%) | 1 (9%) | 1 (13%) | 1 (10%) | 1 (1%) | 3 (12%) | 0 (0%) |
|
| 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) |
|
| 68 (39%) | 0 (0%) | 3 (27%) | 4 (50%) | 3 (30%) | 48 (57%) | 7 (27%) | 3 (13%) |
|
| 6 (3%) | 0 (0%) | 0 (0%) | 0 (0%) | 2 (20%) | 3 (4%) | 1 (4%) | 0 (0%) |
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| 2 (1%) | 1 (9%) | 0 (0%) | 0 (0%) | 0 (0%) | 1 (1%) | 0 (0%) | 0 (0%) |
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| 16 (9%) | 4 (36%) | 3 (27%) | 1 (13%) | 1 (10%) | 7 (8%) | 0 (0%) | 0 (0%) |
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| 1 (1%) | 0 (0%) | 0 (0%) | 1 (13%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) |
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| 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) |
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| 12 (7%) | 1 (9%) | 2 (18%) | 0 (0%) | 2 (20%) | 7 (8%) | 0 (0%) | 0 (0%) |
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| 2 (%) | 1 (9%) | 0 (0%) | 1 (13%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) |
|
| 10 (6%) | 0 (0%) | 0 (0%) | 1 (13%) | 0 (0%) | 9 (11%) | 0 (0%) | 0 (0%) |
|
| 1 (1%) | 0 (0%) | 1 (9%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) |
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| 2 (1%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 2 (2%) | 0 (0%) | 0 (0%) |
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| 10 (6%) | 3 (27%) | 3 (27%) | 0 (0%) | 3 (30%) | 1 (1%) | 0 (0%) | 0 (0%) |
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| 4 (2%) | 3 (27%) | 1 (9%) | 0 (0%) | 0 (%) | 0 (0%) | 0 (0%) | 0 (%) |
|
| 2 (1%) | 0 (0%) | 0 (0%) | 2 (25%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) |
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| 1 (1%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 1 (1%) | 0 (0%) | 0 (0%) |
|
| 14 (8%) | 0 (0%) | 1 (9%) | 0 (0%) | 1 (10%) | 12 (14%) | 0 (0%) | 0 (0%) |
|
| 3 (2%) | 1 (9%) | 1 (9%) | 0 (0%) | 0 (0%) | 1 (1%) | 0 (0%) | 0 (0%) |
|
| 3 (2%) | 0 (0%) | 0 (0%) | 0 (0%) | 1 (10%) | 0 (0%) | 2 (8%) | 0 (0%) |
|
| 1 (1%) | 0 (0%) | 0 (0%) | 1 (13%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) |
|
| 1 (1%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 1 (1%) | 0 (0%) | 0 (0%) |
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| 1 (1%) | 0 (0%) | 0 (0%) | 1 (13%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) |
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| 2 (2%) | 1 (9%) | 0 (0%) | 0 (0%) | 0 (0%) | 1 (1%) | 0 (0%) | 0 (0%) |
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| 1 (%) | 1 (9%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) |
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| 2 (1%) | 0 (0%) | 1 (9%) | 0 (0%) | 0 (0%) | 1 (1%) | 0 (0%) | 0 (0%) |
|
| 3 (2%) | 1 (9%) | 1 (9%) | 0 (0%) | 0 (0%) | 1 (1%) | 0 (0%) | 0 (0%) |
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| 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) |
|
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| 2 (1%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 2 (2%) | 0 (0%) | 0 (0%) |
|
| 2 (1%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 2 (2%) | 0 (0%) | 0 (0%) |
|
| 58 (33%) | 1 (9%) | 1 (9%) | 0 (0%) | 4 (40%) | 16 (19%) | 20 (77%) | 16 (70%) |
|
| 2 (1%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 2 (2%) | 0 (0%) | 0 (0%) |
|
| 37 (21%) | 4 (36%) | 2 (18%) | 0 (0%) | 6 (60%) | 15 (18%) | 9 (35%) | 1 (4%) |
|
| 8 (5%) | 0 (0%) | 1 (9%) | 0 (0%) | 0 (0%) | 7 (8%) | 0 (0%) | 0 (0%) |
|
| 19 (11%) | 2 (18%) | 1 (9%) | 1 (13%) | 0 (0%) | 6 (7%) | 2 (8%) | 6 (26%) |
FLC, fluconazole; ISA, isavuconazole; ITC, itraconazole; KCZ, ketoconazole; POS, posaconazole; VRC, voriconazole; CAS, caspofungin; MFG, micafungin; 5-FC, 5-fluorocytosine; AmB-DOC, amphotericin B deoxycholate; L-AmB, liposomal amphotericin B; TBF, terbinafine; ALA-PDT, 5-aminolevulinic acid-photodynamic therapy.
*Some patients were treated with more than one antifungal or combination of antifungal drugs in different periods.