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CDC

Antimicrobial Resistance

Daptomycin-resistant MRSA

% Resistant in 2024

0.6% Resistant

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

14 Resistant

/ 2,243 Tested

% Resistant by Patient Age in 2024

Pediatric:
0.0% Resistant
Adult:
0.7% Resistant

Pathogen Profile

Daptomycin-resistant MRSA

Staphylococcus aureus causes a range of illnesses, from skin and wound infections to pneumonia and bloodstream infections that can cause sepsis and death. These data represent the proportion of all methicillin-resistant S. aureus (MRSA) that are resistant to daptomycin, further limiting treatment options.

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 Staphylococcus aureus by State Map

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

Percent Daptomycin resistance Among Staphylococcus aureus by State

Percent Daptomycin resistance Among by State
Locationvalue
Alabama0
AlaskaInsufficient Data
Arizona0
ArkansasInsufficient Data
California0.7
Colorado0
ConnecticutInsufficient Data
DelawareInsufficient Data
District of ColumbiaInsufficient Data
Florida1.7
Georgia1.5
HawaiiInsufficient Data
IdahoInsufficient Data
Illinois4
Indiana0
IowaInsufficient Data
KansasInsufficient Data
Kentucky0
Louisiana0
MaineInsufficient Data
Maryland0
Massachusetts0
Michigan0
Minnesota0
Mississippi0
Missouri3.2
MontanaInsufficient Data
NebraskaInsufficient Data
NevadaInsufficient Data
New HampshireInsufficient Data
New Jersey2.9
New MexicoInsufficient Data
New York0.7
North Carolina0
North DakotaInsufficient Data
Ohio0
OklahomaInsufficient Data
OregonInsufficient Data
Pennsylvania0.7
Puerto RicoInsufficient Data
Rhode IslandInsufficient Data
South Carolina0
South DakotaInsufficient Data
Tennessee0
Texas0
UtahInsufficient Data
VermontInsufficient Data
Virginia0
Washington0
West VirginiaInsufficient Data
Wisconsin0
WyomingInsufficient Data

Percent Daptomycin resistance Among Staphylococcus aureus by State List

Geography

Geography
statevalue
United States0.6%
Alabama0.0%
AlaskaNo Data
Arizona0.0%
ArkansasNo Data
California0.7%
Colorado0.0%
ConnecticutNo Data
DelawareNo Data
District of ColumbiaNo Data

Changes Over Time in Daptomycin resistance Among Staphylococcus aureus

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.

Changes Over Time in Daptomycin resistance Among Staphylococcus aureus
Year% Resistant
20111.4
20120.9
20131
20142
20151.3
20161
20170.9
20181.1
20190.6
20200.9
20210.4
20220.4
20230.5
20240.6

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 Staphylococcus aureus by Hospital Type

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

Percent resistant Among Staphylococcus aureus by Hospital Type

Percent resistant Among Staphylococcus aureus by Hospital Type
Hospital Type% Resistant
General Acute Care Hospitals0.5
Long Term Acute Care Hospitals9.1

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.