Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 3 de 3
Filter
Add more filters










Database
Language
Publication year range
1.
AIDS ; 32(15): 2259-2261, 2018 09 24.
Article in English | MEDLINE | ID: mdl-30102652

ABSTRACT

: We assessed the effect of fluconazole 1200 mg/day on the QT interval in cryptococcal meningitis patients. Mean corrected QT (QTc) change from baseline to day 7 was 10.1 ms (IQR: -28 to 46 ms) in the fluconazole treatment group and -12.6 ms (IQR: -39 to 13.5 ms) in those not taking fluconazole (P = 0.04). No significant increase in QTc measurements over 500 ms was observed with fluconazole. Nevertheless, it remains important to correct any electrolyte imbalance and avoid concomitant drugs that may increase QTc.


Subject(s)
Antifungal Agents/administration & dosage , Antifungal Agents/adverse effects , Fluconazole/administration & dosage , Fluconazole/adverse effects , HIV Infections/complications , Heart Conduction System/drug effects , Meningitis, Cryptococcal/drug therapy , Adult , Africa , Humans
2.
N Engl J Med ; 378(11): 1004-1017, 2018 03 15.
Article in English | MEDLINE | ID: mdl-29539274

ABSTRACT

BACKGROUND: Cryptococcal meningitis accounts for more than 100,000 human immunodeficiency virus (HIV)-related deaths per year. We tested two treatment strategies that could be more sustainable in Africa than the standard of 2 weeks of amphotericin B plus flucytosine and more effective than the widely used fluconazole monotherapy. METHODS: We randomly assigned HIV-infected adults with cryptococcal meningitis to receive an oral regimen (fluconazole [1200 mg per day] plus flucytosine [100 mg per kilogram of body weight per day] for 2 weeks), 1 week of amphotericin B (1 mg per kilogram per day), or 2 weeks of amphotericin B (1 mg per kilogram per day). Each patient assigned to receive amphotericin B was also randomly assigned to receive fluconazole or flucytosine as a partner drug. After induction treatment, all the patients received fluconazole consolidation therapy and were followed to 10 weeks. RESULTS: A total of 721 patients underwent randomization. Mortality in the oral-regimen, 1-week amphotericin B, and 2-week amphotericin B groups was 18.2% (41 of 225), 21.9% (49 of 224), and 21.4% (49 of 229), respectively, at 2 weeks and was 35.1% (79 of 225), 36.2% (81 of 224), and 39.7% (91 of 229), respectively, at 10 weeks. The upper limit of the one-sided 97.5% confidence interval for the difference in 2-week mortality was 4.2 percentage points for the oral-regimen group versus the 2-week amphotericin B groups and 8.1 percentage points for the 1-week amphotericin B groups versus the 2-week amphotericin B groups, both of which were below the predefined 10-percentage-point noninferiority margin. As a partner drug with amphotericin B, flucytosine was superior to fluconazole (71 deaths [31.1%] vs. 101 deaths [45.0%]; hazard ratio for death at 10 weeks, 0.62; 95% confidence interval [CI], 0.45 to 0.84; P=0.002). One week of amphotericin B plus flucytosine was associated with the lowest 10-week mortality (24.2%; 95% CI, 16.2 to 32.1). Side effects, such as severe anemia, were more frequent with 2 weeks than with 1 week of amphotericin B or with the oral regimen. CONCLUSIONS: One week of amphotericin B plus flucytosine and 2 weeks of fluconazole plus flucytosine were effective as induction therapy for cryptococcal meningitis in resource-limited settings. (ACTA Current Controlled Trials number, ISRCTN45035509 .).


Subject(s)
AIDS-Related Opportunistic Infections/drug therapy , Amphotericin B/administration & dosage , Antifungal Agents/therapeutic use , Fluconazole/administration & dosage , Flucytosine/administration & dosage , Meningitis, Cryptococcal/drug therapy , Administration, Oral , Adult , Africa/epidemiology , Amphotericin B/adverse effects , Antifungal Agents/adverse effects , Drug Administration Schedule , Drug Therapy, Combination , Female , Fluconazole/adverse effects , Flucytosine/adverse effects , HIV Seropositivity/complications , Humans , Kaplan-Meier Estimate , Male , Meningitis, Cryptococcal/mortality , Proportional Hazards Models
3.
Mol Ecol ; 26(7): 1991-2005, 2017 Apr.
Article in English | MEDLINE | ID: mdl-27862555

ABSTRACT

Emerging infections caused by fungi have become a widely recognized global phenomenon and are causing an increasing burden of disease. Genomic techniques are providing new insights into the structure of fungal populations, revealing hitherto undescribed fine-scale adaptations to environments and hosts that govern their emergence as infections. Cryptococcal meningitis is a neglected tropical disease that is responsible for a large proportion of AIDS-related deaths across Africa; however, the ecological determinants that underlie a patient's risk of infection remain largely unexplored. Here, we use genome sequencing and ecological genomics to decipher the evolutionary ecology of the aetiological agents of cryptococcal meningitis, Cryptococcus neoformans and Cryptococcus gattii, across the central African country of Zambia. We show that the occurrence of these two pathogens is differentially associated with biotic (macroecological) and abiotic (physical) factors across two key African ecoregions, Central Miombo woodlands and Zambezi Mopane woodlands. We show that speciation of Cryptococcus has resulted in adaptation to occupy different ecological niches, with C. neoformans found to occupy Zambezi Mopane woodlands and C. gattii primarily recovered from Central Miombo woodlands. Genome sequencing shows that C. neoformans causes 95% of human infections in this region, of which over three-quarters belonged to the globalized lineage VNI. We show that VNI infections are largely associated with urbanized populations in Zambia. Conversely, the majority of C. neoformans isolates recovered in the environment belong to the genetically diverse African-endemic lineage VNB, and we show hitherto unmapped levels of genomic diversity within this lineage. Our results reveal the complex evolutionary ecology that underpins the reservoirs of infection for this, and likely other, deadly pathogenic fungi.


Subject(s)
Adaptation, Physiological/genetics , Cryptococcus gattii/genetics , Cryptococcus neoformans/genetics , Forests , Meningitis, Cryptococcal/microbiology , DNA Barcoding, Taxonomic , DNA, Fungal/genetics , DNA, Ribosomal Spacer/genetics , Genetics, Population , Genome, Fungal , Genomics , Humans , Meningitis, Cryptococcal/epidemiology , Models, Biological , Phylogeny , Plant Bark/microbiology , Polymorphism, Single Nucleotide , Soil Microbiology , Trees/microbiology , Zambia
SELECTION OF CITATIONS
SEARCH DETAIL
...