| Literature DB >> 31870760 |
Lan-Fang Fang1, Piao-Piao Zhang1, Jie Wang2, Qing Yang1, Ting-Ting Qu3.
Abstract
BACKGROUND: This study aims to explore the epidemiology, clinical profile and strain characteristics of cryptococcosis from 2013 to 2017 in a major teaching hospital in China.Entities:
Keywords: Antifungal susceptibility; Cryptococcosis; Cryptococcus neoformans; Human immunodeficiency virus (HIV); Multilocus sequence typing (MLST)
Mesh:
Substances:
Year: 2019 PMID: 31870760 PMCID: PMC9392018 DOI: 10.1016/j.bjid.2019.11.004
Source DB: PubMed Journal: Braz J Infect Dis ISSN: 1413-8670 Impact factor: 3.257
In vitro susceptibility to five antifungal agents of 217 cryptococcal isolates from an university hospital during a 5-year period (2013–2017).
| Antifungal agents | MIC range (μg/ml) | MIC50 | MIC90 |
|---|---|---|---|
| Amphotericin B | 0.5–8 | 0.5 | 0.5 |
| Fluconazole | 1–16 | 2 | 4 |
| Flucytosine | 0.5–32 | 4 | 4 |
| Itraconazole | 0.06–1 | 0.125 | 0.25 |
| Voriconazole | 0.05–4 | 0.064 | 0.25 |
Fig. 1Trends in fluconazole susceptibility of cryptococcal isolates from 2013 to 2017.
MLST and molecular type results of 98 clinical cryptococcal isolates.
| ST | Genotype | Variety | N (%) |
|---|---|---|---|
| 5 | VNⅠ | 90 (91.8%) | |
| 31 | VNⅠ | 3 (3.1%) | |
| 81 | VNⅠ | 2 (2.0%) | |
| 359 | VNⅠ | 1 (1.0%) | |
| 328 | VGⅡ | 1 (1.0%) | |
| 326 | VN Ⅳ | 1 (1.0%) |
Demographic features and underlying diseases of HIV-infected and uninfected cryptococcosis patients from hospital-based studies.
| Parameter | HIV-uninfected | HIV-infected | Total |
|---|---|---|---|
| No. of Patients | 70 | 28 | 98 |
| Sex | |||
| Male | 57.1% (40/70) | 100% (28/28) | 69.4%(68/98) |
| Female | 42.9% (30/70) | 0 | 30.6%(30/98) |
| Age, years (Ref) | 50.7 ± 1.7 (18,81) | 38.4 ± 2.4 (23,70) | 47.2 ± 1.5 (18,81) |
| Predisposing factors | |||
| HIV/AIDS | 28.6%(28/98) | ||
| Corticosteroid or immunosuppressive | 24.3% (17/70) | 0 | 17.3% (17/98) |
| Autoimmune disease | 5.7% (4/70) | 0 | 4.1% (4/98) |
| Liver cirrhosis or liver failure | 5.7% (4/70) | 7.1%(2/28) | 6.1% (6/98) |
| Diabetes mellitus | 11.4% (8/70) | 3.6%(1/28) | 9.2% (9/98) |
| Tuberculosis | 2.9% (2/70) | 3.6%(1/28) | 3.1% (3/98) |
| Chronic kidney disease | 2.9% (2/70) | 0 | 2.0% (2/98) |
| Solid malignancy | 1.4% (1/70) | 0 | 1.0% (1/98) |
| Hematologic malignancy | 1.4% (1/70) | 0 | 1.0% (1/98) |
| Organ transplantation | 17.1% (12/70) | 0 | 12.2% (12/98) |
| Pregnancy | 1.4% (1/70) | 1.0% (1/98) | |
| No predisposing factors | 45.7% (32/70) | 0 | 32.7% (32/98) |
| Cryptococcal infection types | |||
| Cryptococcal meningitis | 61.4% (43/70) | 64.3% (18/28) | 62.2% (61/98) |
| Pulmonary cryptococcosis | 24.3% (17/70) | 0 | 17.4% (17/98) |
| Infections in other sites | 2.9% (2/70) | 0 | 2.0% (2/98) |
| Disseminated cryptococcosis | 11.4% (8/70) | 35.7% (10/28) | 18.4% (18/98) |
| Outcome | |||
| Survival | 85.7% (60/70) | 71.4% (20/28) | 81.6% (80/98) |
| Death | 14.3% (10/70) | 28.6% (8/28) | 18.4% (18/98) |
In some cases, patients had more than one predisposing factor.