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CDC

Antimicrobial Resistance

Fluoroquinolone-resistant MRSA

% Resistant in 2024

69.4% Resistant

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

1,454 Resistant

/ 2,096 Tested

% Resistant by Patient Age in 2024

Pediatric:
51.2% Resistant
Adult:
70.1% Resistant

Pathogen Profile

Fluoroquinolone-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 also resistant to fluoroquinolones.

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 Fluoroquinolone resistance Among Staphylococcus aureus by State Map

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

Percent Fluoroquinolone resistance Among Staphylococcus aureus by State

Percent Fluoroquinolone resistance Among by State
Locationvalue
Alabama65.6
AlaskaInsufficient Data
ArizonaInsufficient Data
ArkansasInsufficient Data
California78.3
Colorado62.9
ConnecticutInsufficient Data
DelawareInsufficient Data
District of ColumbiaInsufficient Data
Florida74.7
Georgia66.1
HawaiiInsufficient Data
IdahoInsufficient Data
Illinois75.5
Indiana55.6
IowaInsufficient Data
KansasInsufficient Data
Kentucky51.5
Louisiana66.7
MaineInsufficient Data
Maryland85.7
Massachusetts50.8
Michigan72.5
Minnesota59.6
Mississippi63.9
Missouri66
MontanaInsufficient Data
NebraskaInsufficient Data
NevadaInsufficient Data
New HampshireInsufficient Data
New Jersey69.4
New MexicoInsufficient Data
New York72.6
North Carolina66.2
North DakotaInsufficient Data
Ohio68.6
OklahomaInsufficient Data
OregonInsufficient Data
Pennsylvania64.4
Puerto RicoInsufficient Data
Rhode IslandInsufficient Data
South CarolinaInsufficient Data
South DakotaInsufficient Data
Tennessee43.5
Texas77.9
UtahInsufficient Data
VermontInsufficient Data
Virginia73.6
Washington75.9
West VirginiaInsufficient Data
Wisconsin73.3
WyomingInsufficient Data

Percent Fluoroquinolone resistance Among Staphylococcus aureus by State List

Geography

Geography
statevalue
United States69.4%
Alabama65.6%
AlaskaNo Data
ArizonaNo Data
ArkansasNo Data
California78.3%
Colorado62.9%
ConnecticutNo Data
DelawareNo Data
District of ColumbiaNo Data

Changes Over Time in Fluoroquinolone 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.

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

Changes Over Time in Fluoroquinolone resistance Among Staphylococcus aureus
Year% Resistant
201182.1
201281.4
201381.6
201481.3
201582.2
201680.9
201778
201876.4
201977.6
202073.4
202171.4
202271.7
202369.2
202469.4

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.

Fluoroquinolone 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 Hospitals69
Long Term Acute Care Hospitals86.4

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.