Evidence Hub

Candida auris in a tertiary healthcare setting in south India: A case series

Ashraf AA, Pinto RS, Karnaker VK

Current medical mycology, 2023

3 citations

Abstract

Candida species can produce a variety of clinical manifestations, and several non-albicans species of Candida, including Candida auris, have been linked to the rise of invasive fungal infections with high rates of treatment failure. Nosocomial outbreaks and high mortality rates in healthcare institutions across the globe have been associated with C. auris, an emerging infectious yeast that was initially discovered in the ear canal of an elderly Japanese patient in 2009. The fact that C. auris has been found on six continents after it was initially isolated has raised serious concerns among scientists and healthcare practitioners. At present, healthcare facilities lack defined protocols for the effective prevention and control of C. auris infections, as well as appropriate treatment alternatives. This leads to frequent therapeutic failures and complicates the eradication of C. auris infection in healthcare facilities. Studies on C. auris in South India are often limited, and healthcare workers urgently need to be made aware of infections caused by it in order to assess its impact and possible implications for the healthcare system. This study aimed to report seven patients hospitalized in our center who developed C. auris infections with varying clinical manifestations.

How strong is the evidence?

Evidence Hub reads this as a case series, done in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free