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CDC

Antimicrobial Resistance

Daptomycin-resistant Enterococcus faecium

% Resistant in 2024

11.3% Resistant

Number of Resistant Isolates of the Total Number of Isolates Tested In 2024

253 Resistant

/ 2,241 Tested

% Resistant by Patient Age in 2024

Pediatric:
14.3% Resistant
Adult:
11.2% Resistant

Pathogen Profile

Daptomycin-resistant Enterococcus faecium

Enterococci cause a range of illnesses, mostly among patients receiving healthcare, including bloodstream infections, surgical site infections, and urinary tract infections. E. faecium can be resistant to many antibiotics, including daptomycin. Such resistance makes treatment of these infections more difficult.

Current Threat Report

Threat LevelNot Currently Rated

Source: COVID-19: U.S. Impact on Antimicrobial Resistance, Special Report 2024

Years Included
2011 - 2024
Resources

Geographic Locations

Antimicrobial resistance varies by location, driven by a number of factors, including antibiotic use and infection control practices in individual healthcare facilities, the underlying health and age of the patient population, and regional spread from nearby locations.

Percent Daptomycin resistance Among E. faecium by State Map

This map shows the variation in % daptomycin resistance among E. faecium causing all event types in 2024.

Percent Daptomycin resistance Among E. faecium by State

Percent Daptomycin resistance Among by State
Locationvalue
Alabama5.9
AlaskaInsufficient Data
Arizona4.3
Arkansas6.9
California10.8
Colorado57.7
Connecticut5.3
DelawareInsufficient Data
District of ColumbiaInsufficient Data
Florida9.4
Georgia7.5
HawaiiInsufficient Data
IdahoInsufficient Data
Illinois15
Indiana25
IowaInsufficient Data
KansasInsufficient Data
Kentucky13.9
LouisianaInsufficient Data
MaineInsufficient Data
Maryland23.8
Massachusetts3.8
Michigan5.4
Minnesota3.4
MississippiInsufficient Data
Missouri5.9
MontanaInsufficient Data
NebraskaInsufficient Data
Nevada9.5
New HampshireInsufficient Data
New Jersey2.2
New MexicoInsufficient Data
New York15.4
North Carolina34
North DakotaInsufficient Data
Ohio9.6
Oklahoma14.7
OregonInsufficient Data
Pennsylvania6.7
Puerto RicoInsufficient Data
Rhode IslandInsufficient Data
South Carolina15
South DakotaInsufficient Data
Tennessee17.1
Texas20.3
UtahInsufficient Data
VermontInsufficient Data
Virginia3.8
Washington0
West VirginiaInsufficient Data
Wisconsin16.3
WyomingInsufficient Data

Percent Daptomycin resistance Among E. faecium by State List

Geography

Geography
statevalue
United States11.3%
Alabama5.9%
AlaskaNo Data
Arizona4.3%
Arkansas6.9%
California10.8%
Colorado57.7%
Connecticut5.3%
DelawareNo Data
District of ColumbiaNo Data

Changes Over Time in Daptomycin resistance Among E. faecium

This graph displays percent antimicrobial resistance from 2011 to 2024 for all event types. Blank areas of the chart represent 0% resistance, indicating that zero resistant pathogens were reported for the selected year, phenotype, and HAI type. “Insufficient data” indicates that less than 20 pathogens were isolated and tested for resistance.

Due to definition changes, caution should be used when reviewing this phenotype over time.

Changes Over Time in Daptomycin resistance Among E. faecium
Year% Resistant
20115.5
20125.3
20135.8
20147.7
20155.1
20164.2
20175
20184.4
20195
20205.5
20216.5
20228.9
202311.8
202411.3

Healthcare Facility Type

The setting or type of healthcare facility can influence the types of procedures and prevention measures that are related to healthcare-associated infections and antimicrobial resistance.

Daptomycin resistance Among E. faecium by Hospital Type

This graph displays percent antimicrobial resistance by hospital type in 2024.

Percent resistant Among E. faecium by Hospital Type

Percent resistant Among E. faecium by Hospital Type
Hospital Type% Resistant
General Acute Care Hospitals11.2
Long Term Acute Care Hospitals14.8

Footnotes

  • HAIs include Catheter-associated Urinary Tract Infections (CAUTI), Central Line-associated Bloodstream Infections (CLABSI), and Surgical Site Infections (SSI).
  • CI (Confidence Interval) - The national, regional, and state-level data included in Antimicrobial Resistance information are displayed with 95% confidence intervals around the percent resistance, which were calculated using a mid-P exact test and are an indication of precision.
  • Map legends are classified using the Jenks Natural Breaks method.
  • The definition for this phenotype underwent changes in 2021. For more information, refer to the AR&PSP Phenotype Definitions.