Carbapenem-resistant Enterobacterales
% Resistant in 2024
3.3% Resistant
Number of Resistant Isolates of the Total Number of Isolates Tested In 2024
772 Resistant
/ 23,673 Tested
% Resistant by Patient Age in 2024
- Pediatric:
- 2.4% Resistant
- Adult:
- 3.3% Resistant
Formerly referred to as carbapenem-resistant Enterobacteriaceae. More information about the taxonomy change can be found here: CRE | HAI | CDC.
Note: This phenotype includes combined data from E. coli, Klebsiella, and Enterobacter.
Pathogen Profile
Carbapenem-resistant Enterobacterales
Three common types of Enterobacterales causing healthcare-associated infections include Enterobacter spp., Klebsiella spp., and E. coli. These bacteria can cause pneumonia, urinary tract infections, and bloodstream infections in patients. Emerging resistance to carbapenems makes treating these resistant infections very difficult.
- Data Source
- National Healthcare Safety Network (NHSN)
- Current Threat Report
Threat LevelUrgent
Estimated Cases13,100
Estimated Deaths1,100
Healthcare Costs (USD)$130 M
Source: COVID-19: U.S. Impact on Antimicrobial Resistance, Special Report 2024
- Years Included
- 2011 - 2024
Geographic Locations
Percent Carbapenem resistance Among select Enterobacterales by State Map
Percent Carbapenem resistance Among select Enterobacterales by State
| Location | value |
|---|---|
| Alabama | 4 |
| Alaska | 2.9 |
| Arizona | 6.9 |
| Arkansas | 0 |
| California | 4 |
| Colorado | 2.3 |
| Connecticut | 4 |
| Delaware | 5 |
| District of Columbia | 8.4 |
| Florida | 2.5 |
| Georgia | 3.9 |
| Hawaii | 2.7 |
| Idaho | 1 |
| Illinois | 3.7 |
| Indiana | 1.8 |
| Iowa | 2 |
| Kansas | 0 |
| Kentucky | 2.3 |
| Louisiana | 1.5 |
| Maine | 9.2 |
| Maryland | 5 |
| Massachusetts | 2.8 |
| Michigan | 3.7 |
| Minnesota | 0.9 |
| Mississippi | 1.4 |
| Missouri | 1.2 |
| Montana | 0 |
| Nebraska | 1.5 |
| Nevada | 10.5 |
| New Hampshire | 1.5 |
| New Jersey | 3.4 |
| New Mexico | 0.9 |
| New York | 2.7 |
| North Carolina | 1.8 |
| North Dakota | 3.1 |
| Ohio | 2.2 |
| Oklahoma | 2.1 |
| Oregon | 0.9 |
| Pennsylvania | 2.7 |
| Puerto Rico | 43.2 |
| Rhode Island | 4.8 |
| South Carolina | 1.9 |
| South Dakota | 0 |
| Tennessee | 2 |
| Texas | 2.2 |
| Utah | 1.6 |
| Vermont | 1.9 |
| Virginia | 2.8 |
| Washington | 0.8 |
| West Virginia | 4.1 |
| Wisconsin | 1.9 |
| Wyoming | Insufficient Data |
Percent Carbapenem resistance Among select Enterobacterales by State List
Geography
| state | value |
|---|---|
| United States | 3.3% |
| Alabama | 4.0% |
| Alaska | 2.9% |
| Arizona | 6.9% |
| Arkansas | 0.0% |
| California | 4.0% |
| Colorado | 2.3% |
| Connecticut | 4.0% |
| Delaware | 5.0% |
| District of Columbia | 8.4% |
Changes Over Time in Carbapenem resistance Among select Enterobacterales
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 | 4.3 |
| 2012 | 3.1 |
| 2013 | 3.9 |
| 2014 | 3.2 |
| 2015 | 3.4 |
| 2016 | 3 |
| 2017 | 2.6 |
| 2018 | 2.7 |
| 2019 | 2.4 |
| 2020 | 2.7 |
| 2021 | 2.7 |
| 2022 | 3.2 |
| 2023 | 3.2 |
| 2024 | 3.3 |
Healthcare Facility Type
Carbapenem resistance Among select Enterobacterales by Hospital Type
Percent resistant Among select Enterobacterales by Hospital Type
| Hospital Type | % Resistant |
|---|---|
| General Acute Care Hospitals | 3.1 |
| Long Term Acute Care Hospitals | 8.7 |
| Inpatient Rehabilitation Facilities | 1.2 |
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.