Dataset Information

ECMM CandiReg-A ready to use platform for outbreaks and epidemiological studies.

ABSTRACT:

Background

Recent outbreaks of Candida auris further exemplify that invasive Candida infections are a substantial threat to patients and healthcare systems. Even short treatment delays are associated with higher mortality rates. Epidemiological shifts towards more resistant Candida spp. require careful surveillance.

Objectives

Triggered by the emergence of C auris and by increasing antifungal resistance rates the European Confederation of Medical Mycology developed an international Candida Registry (FungiScope™ CandiReg) to allow contemporary multinational surveillance.

Methods

CandiReg serves as platform for international cooperation to enhance research regarding invasive Candida infections. CandiReg uses the General Data Protection Regulation compliant data platform ClinicalSurveys.net that holds the electronic case report forms (eCRF). Data entry is supported via an interactive macro created by the software that can be accessed via any Internet browser.

Results

CandiReg provides an eCRF for invasive Candida infections that can be used for a variety of studies from cohort studies on attributable mortality to evaluations of guideline adherence, offering to the investigators of the 28 ECMM member countries the opportunity to document their cases of invasive Candida infection. CandiReg allows the monitoring of epidemiology of invasive Candida infections, including monitoring of multinational outbreaks. Here, we describe the structure and management of the CandiReg platform.

Conclusion

CandiReg supports the collection of clinical information and isolates to improve the knowledge on epidemiology and eventually to improve management of invasive Candida infections. CandiReg promotes international collaboration, improving the availability and quality of evidence on invasive Candida infection and contributes to improved patient management.

SUBMITTER: Koehler P

PROVIDER: S-EPMC7614793 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

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Publications

ECMM CandiReg-A ready to use platform for outbreaks and epidemiological studies.

Koehler Philipp P Arendrup Maiken Cavling MC Arikan-Akdagli Sevtap S Bassetti Matteo M Bassetti Matteo M Bretagne Stéphane S Klingspor Lena L Lagrou Katrien K Meis Jacques F JF Rautemaa-Richardson Riina R Schelenz Silke S Hamprecht Axel A Koehler Felix C FC Kurzai Oliver O Salmanton-García Jon J Vehreschild Jörg-Janne JJ Alanio Alexandre A Alastruey-Izquierdo Ana A Arsic Arsenijevic Valentina V Gangneux Jean-Pierre JP Gow Neil A R NAR Hadina Suzana S Hamal Petr P Johnson Elizabeth E Klimko Nikolay N Lass-Flörl Cornelia C Mares Mihai M Özenci Volkan V Papp Tamas T Roilides Emmanuel E Sabino Raquel R Segal Esther E Talento Alida Fe AF Tortorano Anna Maria AM Verweij Paul E PE Hoenigl Martin M Cornely Oliver A OA

Mycoses 20190801 10

<h4>Background</h4>Recent outbreaks of Candida auris further exemplify that invasive Candida infections are a substantial threat to patients and healthcare systems. Even short treatment delays are associated with higher mortality rates. Epidemiological shifts towards more resistant Candida spp. require careful surveillance.<h4>Objectives</h4>Triggered by the emergence of C auris and by increasing antifungal resistance rates the European Confederation of Medical Mycology developed an internationa ...[more]

PMID: 31271702

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Project description:BACKGROUND:Studies have reported that ambient air pollution is associated with an increased risk of developing or dying from coronavirus-2 (COVID-19). Methodological approaches to investigate the health impacts of air pollution on epidemics should differ from those used for chronic diseases, but the methods used in these studies have not been appraised critically. OBJECTIVES:Our study aimed to identify and critique the methodological approaches of studies of air pollution on infections and mortality due to COVID-19 and to identify and critique the methodological approaches of similar studies concerning severe acute respiratory syndrome (SARS). METHODS:Published and unpublished papers of associations between air pollution and developing or dying from COVID-19 or SARS that were reported as of 10 May 2020 were identified through electronic databases, internet searches, and other sources. RESULTS:All six COVID-19 studies and two of three SARS studies reported positive associations. Two were time series studies that estimated associations between daily changes in air pollution, one was a cohort that assessed associations between air pollution and the secondary spread of SARS, and six were ecological studies that used area-wide exposures and outcomes. Common shortcomings included possible cross-level bias in ecological studies, underreporting of health outcomes, using grouped data, the lack of highly spatially resolved air pollution measures, inadequate control for confounding and evaluation of effect modification, not accounting for regional variations in the timing of outbreaks' temporal changes in at-risk populations, and not accounting for nonindependence of outcomes. DISCUSSION:Studies of air pollution and novel coronaviruses have relied mainly on ecological measures of exposures and outcomes and are susceptible to important sources of bias. Although longitudinal studies with individual-level data may be imperfect, they are needed to adequately address this topic. The complexities involved in these types of studies underscore the need for careful design and for peer review. https://doi.org/10.1289/EHP7411.

Dataset Information

ECMM CandiReg-A ready to use platform for outbreaks and epidemiological studies.

Background

Objectives

Methods

Results

Conclusion

Publications

ECMM CandiReg-A ready to use platform for outbreaks and epidemiological studies.

Similar Datasets

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