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.
- 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 Daptomycin resistance Among Staphylococcus aureus by State Map
Percent Daptomycin resistance Among Staphylococcus aureus by State
| Location | value |
|---|---|
| Alabama | 0 |
| Alaska | Insufficient Data |
| Arizona | 0 |
| Arkansas | Insufficient Data |
| California | 0.7 |
| Colorado | 0 |
| Connecticut | Insufficient Data |
| Delaware | Insufficient Data |
| District of Columbia | Insufficient Data |
| Florida | 1.7 |
| Georgia | 1.5 |
| Hawaii | Insufficient Data |
| Idaho | Insufficient Data |
| Illinois | 4 |
| Indiana | 0 |
| Iowa | Insufficient Data |
| Kansas | Insufficient Data |
| Kentucky | 0 |
| Louisiana | 0 |
| Maine | Insufficient Data |
| Maryland | 0 |
| Massachusetts | 0 |
| Michigan | 0 |
| Minnesota | 0 |
| Mississippi | 0 |
| Missouri | 3.2 |
| Montana | Insufficient Data |
| Nebraska | Insufficient Data |
| Nevada | Insufficient Data |
| New Hampshire | Insufficient Data |
| New Jersey | 2.9 |
| New Mexico | Insufficient Data |
| New York | 0.7 |
| North Carolina | 0 |
| North Dakota | Insufficient Data |
| Ohio | 0 |
| Oklahoma | Insufficient Data |
| Oregon | Insufficient Data |
| Pennsylvania | 0.7 |
| Puerto Rico | Insufficient Data |
| Rhode Island | Insufficient Data |
| South Carolina | 0 |
| South Dakota | Insufficient Data |
| Tennessee | 0 |
| Texas | 0 |
| Utah | Insufficient Data |
| Vermont | Insufficient Data |
| Virginia | 0 |
| Washington | 0 |
| West Virginia | Insufficient Data |
| Wisconsin | 0 |
| Wyoming | Insufficient Data |
Percent Daptomycin resistance Among Staphylococcus aureus by State List
Geography
| state | value |
|---|---|
| United States | 0.6% |
| Alabama | 0.0% |
| Alaska | No Data |
| Arizona | 0.0% |
| Arkansas | No Data |
| California | 0.7% |
| Colorado | 0.0% |
| Connecticut | No Data |
| Delaware | No Data |
| District of Columbia | No 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.
| Year | % Resistant |
|---|---|
| 2011 | 1.4 |
| 2012 | 0.9 |
| 2013 | 1 |
| 2014 | 2 |
| 2015 | 1.3 |
| 2016 | 1 |
| 2017 | 0.9 |
| 2018 | 1.1 |
| 2019 | 0.6 |
| 2020 | 0.9 |
| 2021 | 0.4 |
| 2022 | 0.4 |
| 2023 | 0.5 |
| 2024 | 0.6 |
Healthcare Facility Type
Daptomycin resistance Among Staphylococcus aureus by Hospital Type
Percent resistant Among Staphylococcus aureus by Hospital Type
| Hospital Type | % Resistant |
|---|---|
| General Acute Care Hospitals | 0.5 |
| Long Term Acute Care Hospitals | 9.1 |
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.