Skip to content
CDC

Antimicrobial Resistance

Daptomycin-resistant Enterococcus faecalis

% Resistant in 2024

5.7% Resistant

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

209 Resistant

/ 3,650 Tested

% Resistant by Patient Age in 2024

Pediatric:
6.6% Resistant
Adult:
5.7% Resistant

Pathogen Profile

Daptomycin-resistant Enterococcus faecalis

Daptomycin-resistant Enterococcus faecalis cause a range of illnesses, mostly among patients receiving healthcare, including bloodstream infections, surgical site infections, and urinary tract infections. E. faecalis 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. faecalis by State Map

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

Percent Daptomycin resistance Among E. faecalis by State

Percent Daptomycin resistance Among by State
Locationvalue
Alabama2.6
AlaskaInsufficient Data
Arizona2.7
Arkansas16.7
California7.6
Colorado14.5
Connecticut15.7
DelawareInsufficient Data
District of Columbia0
Florida7.9
Georgia9.6
HawaiiInsufficient Data
IdahoInsufficient Data
Illinois4.9
IndianaInsufficient Data
Iowa0
KansasInsufficient Data
Kentucky15.2
Louisiana4
MaineInsufficient Data
Maryland2
Massachusetts19.1
Michigan1.1
Minnesota1.6
Mississippi2
Missouri7.8
MontanaInsufficient Data
Nebraska0
Nevada7.4
New HampshireInsufficient Data
New Jersey4.1
New Mexico13.6
New York7.1
North Carolina2.1
North DakotaInsufficient Data
Ohio1.7
Oklahoma2
OregonInsufficient Data
Pennsylvania6.4
Puerto Rico8.7
Rhode IslandInsufficient Data
South Carolina0
South Dakota0
Tennessee4.3
Texas2.8
UtahInsufficient Data
VermontInsufficient Data
Virginia0
Washington2.3
West Virginia0
Wisconsin4.5
WyomingInsufficient Data

Percent Daptomycin resistance Among E. faecalis by State List

Geography

Geography
statevalue
United States5.7%
Alabama2.6%
AlaskaNo Data
Arizona2.7%
Arkansas16.7%
California7.6%
Colorado14.5%
Connecticut15.7%
DelawareNo Data
District of Columbia0.0%

Changes Over Time in Daptomycin resistance Among E. faecalis

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. faecalis
Year% Resistant
20113.2
20121.9
20131.7
20142.4
20152.4
20161.6
20171.5
20181.5
20191.6
20202.1
20212
20225.2
20235.1
20245.7

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. faecalis by Hospital Type

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

Percent resistant Among E. faecalis by Hospital Type

Percent resistant Among E. faecalis by Hospital Type
Hospital Type% Resistant
General Acute Care Hospitals5.8
Long Term Acute Care Hospitals6.3
Inpatient Rehabilitation Facilities0

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.