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.
- Data Source
- National Healthcare Safety Network (NHSN)
- Current Threat Report
Threat LevelSerious
Estimated Cases323,700
Estimated Deaths10,600
Healthcare Costs (USD)$1.7 B
Source: COVID-19: U.S. Impact on Antimicrobial Resistance, Special Report 2024
- Years Included
- 2011 - 2024
Geographic Locations
Percent Fluoroquinolone resistance Among Staphylococcus aureus by State Map
Percent Fluoroquinolone resistance Among Staphylococcus aureus by State
| Location | value |
|---|---|
| Alabama | 65.6 |
| Alaska | Insufficient Data |
| Arizona | Insufficient Data |
| Arkansas | Insufficient Data |
| California | 78.3 |
| Colorado | 62.9 |
| Connecticut | Insufficient Data |
| Delaware | Insufficient Data |
| District of Columbia | Insufficient Data |
| Florida | 74.7 |
| Georgia | 66.1 |
| Hawaii | Insufficient Data |
| Idaho | Insufficient Data |
| Illinois | 75.5 |
| Indiana | 55.6 |
| Iowa | Insufficient Data |
| Kansas | Insufficient Data |
| Kentucky | 51.5 |
| Louisiana | 66.7 |
| Maine | Insufficient Data |
| Maryland | 85.7 |
| Massachusetts | 50.8 |
| Michigan | 72.5 |
| Minnesota | 59.6 |
| Mississippi | 63.9 |
| Missouri | 66 |
| Montana | Insufficient Data |
| Nebraska | Insufficient Data |
| Nevada | Insufficient Data |
| New Hampshire | Insufficient Data |
| New Jersey | 69.4 |
| New Mexico | Insufficient Data |
| New York | 72.6 |
| North Carolina | 66.2 |
| North Dakota | Insufficient Data |
| Ohio | 68.6 |
| Oklahoma | Insufficient Data |
| Oregon | Insufficient Data |
| Pennsylvania | 64.4 |
| Puerto Rico | Insufficient Data |
| Rhode Island | Insufficient Data |
| South Carolina | Insufficient Data |
| South Dakota | Insufficient Data |
| Tennessee | 43.5 |
| Texas | 77.9 |
| Utah | Insufficient Data |
| Vermont | Insufficient Data |
| Virginia | 73.6 |
| Washington | 75.9 |
| West Virginia | Insufficient Data |
| Wisconsin | 73.3 |
| Wyoming | Insufficient Data |
Percent Fluoroquinolone resistance Among Staphylococcus aureus by State List
Geography
| state | value |
|---|---|
| United States | 69.4% |
| Alabama | 65.6% |
| Alaska | No Data |
| Arizona | No Data |
| Arkansas | No Data |
| California | 78.3% |
| Colorado | 62.9% |
| Connecticut | No Data |
| Delaware | No Data |
| District of Columbia | No 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.
| Year | % Resistant |
|---|---|
| 2011 | 82.1 |
| 2012 | 81.4 |
| 2013 | 81.6 |
| 2014 | 81.3 |
| 2015 | 82.2 |
| 2016 | 80.9 |
| 2017 | 78 |
| 2018 | 76.4 |
| 2019 | 77.6 |
| 2020 | 73.4 |
| 2021 | 71.4 |
| 2022 | 71.7 |
| 2023 | 69.2 |
| 2024 | 69.4 |
Healthcare Facility Type
Fluoroquinolone resistance Among Staphylococcus aureus by Hospital Type
Percent resistant Among Staphylococcus aureus by Hospital Type
| Hospital Type | % Resistant |
|---|---|
| General Acute Care Hospitals | 69 |
| Long Term Acute Care Hospitals | 86.4 |
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.