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Key points

  • The Candida Bloodstream Infections Activity identifies trends and risk factors for these infections.
  • Public health professionals and healthcare providers can use this data to improve patient safety.

Overview

As part of CDC's Emerging Infections Program (EIP), the Candida Bloodstream Infections Activity:

  • Monitors epidemiologic trends in candidemia.
  • Performs species confirmation and antifungal susceptibility testing on all available Candida bloodstream isolates.

To collect this information, trained professionals review medical records for candidemia cases identified in select counties in 10 EIP states.

Public health professionals and healthcare administrators can use this data to:

  • Track incidence and monitor laboratory and epidemiologic trends, including for antifungal-resistant Candida species.
  • Identify new risk factors.
  • Communicate resistance results and trends back to submitting laboratories.
  • Understand the causes of resistance.
  • Identify areas to focus prevention and intervention strategies, including ways to improve health equity.

Candida** bloodstream infections **are associated with substantial risk of death

During 2016–2021, 1 in 3 patients with candidemia died while hospitalized.

About 9% of cases occurred in patients with a history of injection drug use, mostly in younger adults. In recent years, injection drug use has become an important risk factor for candidemia.

What the data shows

Approximately 7 out of 100,000 persons developed culture-positive candidemia every year in 10 U.S. EIP sites during 2016–2021.

Groups of people more highly affected by candidemia include:

  • Adults aged 65 and older.
  • Babies less than 1 month old.
  • Black or African American persons.
  • People who inject drugs.
  • People who have had recent surgery, exposure to broad-spectrum antibiotics, or a central venous catheter

For EveryoneData and Statistics on Candidemia

Access and create data visualizations

HAICViz is an interactive data dashboard that provides information included in the reports below as well as case rates and deaths over time.HAICViz

Publications

See AlsoNCBI Collection

EIP sites conducting surveillance

EIP siteYear surveillance startedArea under surveillance
California2017Alameda County
Colorado20175 counties in metropolitan Denver
Connecticut2019Statewide
Georgia20088 counties in metropolitan Atlanta
Maryland2008Baltimore City and County
Minnesota20177 counties in Minneapolis-St. Paul metropolitan area
New Mexico2017Bernalillo County
New York2016Monroe County
Oregon20113 counties in metropolitan Portland
Tennessee20119 counties surrounding Knoxville in east Tennessee

Case definition

When any of the following criteria are met for a patient who lives in the surveillance area:

  • A patient with a positive blood culture for any Candida species.If the patient is deceased, a culture collected within 12 hours of death.
  • A patient with a new positive Candida blood culture collected greater than 30 days after the initial positive culture (this is considered a new case).

Case ascertainment

EIP surveillance staff identify candidemia cases based on positive blood cultures for Candida species reported from all inpatient and outpatient clinical laboratories serving the population within surveillance areas. Each laboratory provides reports of positive results to the local EIP site.

Data collection

Trained surveillance epidemiologists collect data at each EIP site. For each candidemia case, they review medical records to gather:

  • Demographic characteristics.
  • Location of culture collection.
  • Underlying health conditions.
  • Healthcare exposures.
  • Other risk factor information.

Laboratory characterization

Staff send incident Candida isolates collected from cases to CDC for species identification and antifungal susceptibility testing. CDC then communicates results back to submitting facilities and laboratories.

Analysis

Trained surveillance epidemiologists analyze the data to describe:

  • Changes in candidemia incidence over time.
  • Changes in molecular epidemiology including antimicrobial resistance trends.
  • Evaluate disease burden.
  • Identify health disparities.

Where this page came from

This page was imported from Centers for Disease Control and Prevention. Material produced by the Centers for Disease Control and Prevention is a work of the United States government and is in the public domain.

Nobody has written it yet — it is the source material at a new address, which is why search engines are asked to skip it and why no one earns from it. It is up for grabs: take it on, and it is yours to rewrite and to earn from.

Licença: CC0 1.0 (domínio público) · Adaptado de www.cdc.gov

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