Summary Background Transmission of multidrug-resistant Candida auris infection has been reported in the USA. To better understand its emergence and transmission dynamics and to guide clinical and public health responses, we did a molecular epidemiological investigation of C auris cases in the USA. Methods In this molecular epidemiological survey, we used whole-genome sequencing to assess the genetic similarity between isolates collected from patients in ten US states (California, Connecticut, Florida, Illinois, Indiana, Maryland, Massachusetts, New Jersey, New York, and Oklahoma) and those identified in several other countries (Colombia, India, Japan, Pakistan, South Africa, South Korea, and Venezuela). We worked with state health departments, who provided us with isolates for sequencing. These isolates of C auris were collected during the normal course of clinical care (clinical cases) or as part of contact investigations or point prevalence surveys (screening cases). We integrated data from standardised case report forms and contact investigations, including travel history and epidemiological links (ie, patients that had shared a room or ward with a patient with C auris). Genetic diversity of C auris within a patient, a facility, and a state were evaluated by pairwise differences in single-nucleotide polymorphisms (SNPs). Findings From May 11, 2013, to Aug 31, 2017, isolates that corresponded to 133 cases (73 clinical cases and 60 screening cases) were collected. Of 73 clinical cases, 66 (90%) cases involved isolates related to south Asian isolates, five (7%) cases were related to South American isolates, one (1%) case to African isolates, and one (1%) case to east Asian isolates. Most (60 [82%]) clinical cases were identified in New York and New Jersey; these isolates, although related to south Asian isolates, were genetically distinct. Genomic data corroborated five (7%) clinical cases in which patients probably acquired C auris through health-care exposures abroad. Among clinical and screening cases, the genetic diversity of C auris isolates within a person was similar to that within a facility during an outbreak (median SNP difference three SNPs, range 0–12). Interpretation Isolates of C auris in the USA were genetically related to those from four global regions, suggesting that C auris was introduced into the USA several times. The five travel-related cases are examples of how introductions can occur. Genetic diversity among isolates from the same patients, health-care facilities, and states indicates that there is local and ongoing transmission.
Candida auris is a globally emerging yeast that causes outbreaks in health care settings and is often resistant to one or more classes of antifungal medications (1). Cases of C. auris with resistance to all three classes of commonly prescribed antifungal drugs (pan-resistance) have been reported in multiple countries (1). C. auris has been identified in the United States since 2016; the largest number (427 of 911 [47%]) of confirmed clinical cases reported as of October 31, 2019, have been reported in New York, where C. auris was first detected in July 2016 (1,2). As of June 28, 2019, a total of 801 patients with C. auris were identified in New York, based on clinical cultures or swabs of skin or nares obtained to detect asymptomatic colonization (3). Among these patients, three were found to have pan-resistant C. auris that developed after receipt of antifungal medications, including echinocandins, a class of drugs that targets the fungal cell wall. All three patients had multiple comorbidities and no known recent domestic or foreign travel. Although extensive investigations failed to document transmission of pan-resistant isolates from the three patients to other patients or the environment, the emergence of pan-resistance is concerning. The occurrence of these cases underscores the public health importance of surveillance for C. auris, the need for prudent antifungal prescribing, and the importance of conducting susceptibility testing on all clinical isolates, including serial isolates from individual patients, especially those treated with echinocandin medications. This report summarizes investigations related to the three New York patients with pan-resistant infections and the subsequent actions conducted by the New York State Department of Health and hospital and long-term care facility partners. Clinical C. auris cases were defined as those in which C. auris was identified in a clinical culture obtained to diagnose or treat disease. Screening cases were defined as those in which C. auris was identified by polymerase chain reaction testing and culture, or by culture only, of a sample from an axilla, groin, or nares swab obtained for the purpose of state public health surveillance (2). To assess ongoing colonization with C. auris, additional swabs were collected over time from patients colonized with C. auris. Wadsworth Center, the New York State public health laboratory, conducted testing to confirm presumptive C. auris isolates from various health care facilities in New York during
The objective of this study was to obtain a better understanding of the effects of meteorological factors on the prevalence and seasonality of common respiratory viruses in China, which has a subtropical climate. A retrospective study was conducted by identifying children admitted to a hospital with acute respiratory infections due to seven common viruses between January 2001 and December 2011. A total of 42,104 nasopharyngeal samples were tested for respiratory syncytial virus (RSV), influenza A and B viruses (IV-A and IV-B), parainfluenza viruses 1-3 (PIV-1, PIV-2, PIV-3), and adenovirus (ADV) by direct immunofluorescence assay. Meteorological data were obtained from Suzhou Weather Bureau. Correlations of viral prevalence with meteorological factors were evaluated using Spearman rank correlation and partial correlation. Multivariate time-series analysis including an autoregressive integrated moving average (ARIMA) model and generalized linear Poisson models was conducted to study the effect of meteorological factors on the prevalence of respiratory virus infection. RSV and IV-A activity showed distinctive winter peak, whereas PIV-3 and ADV peaked in the summer. Incidence of RSV was correlated with low environmental temperature, and PIV-3 only with high temperature. IV-A activity was correlated with both low temperature and high relative humidity. ADV activity was correlated with high total rainfall. In the ARIMA model, RSV-associated hospitalizations were predictable, and the monthly number of RSV cases decreased by 11.25 % (95 % CI: 5.34 % to 16.79 %) for every 1 °C increase in the average temperature. Seasonality of certain respiratory virus may be explained by meteorological influences. The impact of meteorological factors on the prevalence of RSV may be useful for predicting the activity of this virus.
During the summer of 2015, New York, New York, USA, had one of the largest and deadliest outbreaks of Legionnaires’ disease in the history of the United States. A total of 138 cases and 16 deaths were linked to a single cooling tower in the South Bronx. Analysis of environmental samples and clinical isolates showed that sporadic cases of legionellosis before, during, and after the outbreak could be traced to a slowly evolving, single-ancestor strain. Detection of an ostensibly virulent Legionella strain endemic to the Bronx community suggests potential risk for future cases of legionellosis in the area. The genetic homogeneity of the Legionella population in this area might complicate investigations and interpretations of future outbreaks of Legionnaires’ disease.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.