Retrospective cohort study comparing the risk of severe hepatotoxicity in hospitalized patients treated with echinocandins for invasive candidiasis in the ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Francis Vekeman, Lisa Weiss, Jalal Aram, Raluca Ionescu-Ittu, Shahrzad Moosavi, Yongling Xiao, Wendy Y. Cheng, Rachel H. Bhak, Margaret Tawadrous, M. Rita Capparella, Philippe Montravers, Mei Sheng Duh

ABSTRACT

BACKGROUND: To compare the risk of severe hepatotoxicity with anidulafungin versus caspofungin and micafungin in hospitalized adults. METHODS: This retrospective cohort study combined data from two large US- based hospital electronic medical record databases. Severe hepatotoxicity was a Grade ≥ 3 liver function test (LFT) post-echinocandin initiation. Adjusted incidence rate ratios (IRRs) were estimated for anidulafungin versus caspofungin and micafungin, overall and in patients with normal baseline LFT (Grade 0). RESULTS: Treatments included anidulafungin (n = 1700), caspofungin (n = 4431), or micafungin (n = 6547). The proportions with LFT Grade ≥ 3 pre-echinocandin initiation were: anidulafungin 40.4% versus caspofungin 25.9% (p < 0.001) and micafungin 25.6% (p < 0.001). Rates of severe underlying diseases or comorbidities were: critical care admissions: 75.3% versus 52.6 and 48.6%; and organ failures: 69.4% versus 46.7 and 51.5%. Adjusted IRRs of severe hepatotoxicity for anidulafungin versus caspofungin and micafungin were 1.43 (p = 0.002) and 1.19 (p = 0.183) overall, and 0.88 (P = 0.773) and 0.97 (P = 0.945) for normal baseline LFT, respectively. CONCLUSIONS: Accounting for confounders, severe hepatotoxicity risk was not significantly different across echinocandins in this real-world head-to-head study. Anidulafungin was used more frequently in patients with more comorbidities. Those with normal baseline LFT (least susceptible to confounding by indication), showed no elevated hepatotoxicity risk for anidulafungin. More... »

PAGES

438

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12879-018-3333-0

DOI

http://dx.doi.org/10.1186/s12879-018-3333-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1106410203

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30157797


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s12879-018-3333-0'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12879-018-3333-0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12879-018-3333-0'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12879-018-3333-0'


 

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310 schema:name Analysis Group, Inc., 111 Huntington Avenue, 14th Floor, 02199, Boston, MA, USA
311 rdf:type schema:Organization
 




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