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CDC

Antimicrobial Resistance

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.

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 Carbapenem resistance Among select Enterobacterales by State Map

This map shows the variation in % carbapenem resistance among select Enterobacterales causing all event types in 2024.

Percent Carbapenem resistance Among select Enterobacterales by State

Percent Carbapenem resistance Among by State
Locationvalue
Alabama4
Alaska2.9
Arizona6.9
Arkansas0
California4
Colorado2.3
Connecticut4
Delaware5
District of Columbia8.4
Florida2.5
Georgia3.9
Hawaii2.7
Idaho1
Illinois3.7
Indiana1.8
Iowa2
Kansas0
Kentucky2.3
Louisiana1.5
Maine9.2
Maryland5
Massachusetts2.8
Michigan3.7
Minnesota0.9
Mississippi1.4
Missouri1.2
Montana0
Nebraska1.5
Nevada10.5
New Hampshire1.5
New Jersey3.4
New Mexico0.9
New York2.7
North Carolina1.8
North Dakota3.1
Ohio2.2
Oklahoma2.1
Oregon0.9
Pennsylvania2.7
Puerto Rico43.2
Rhode Island4.8
South Carolina1.9
South Dakota0
Tennessee2
Texas2.2
Utah1.6
Vermont1.9
Virginia2.8
Washington0.8
West Virginia4.1
Wisconsin1.9
WyomingInsufficient Data

Percent Carbapenem resistance Among select Enterobacterales by State List

Geography

Geography
statevalue
United States3.3%
Alabama4.0%
Alaska2.9%
Arizona6.9%
Arkansas0.0%
California4.0%
Colorado2.3%
Connecticut4.0%
Delaware5.0%
District of Columbia8.4%

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.

Changes Over Time in Carbapenem resistance Among select Enterobacterales
Year% Resistant
20114.3
20123.1
20133.9
20143.2
20153.4
20163
20172.6
20182.7
20192.4
20202.7
20212.7
20223.2
20233.2
20243.3

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.

Carbapenem resistance Among select Enterobacterales by Hospital Type

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

Percent resistant Among select Enterobacterales by Hospital Type

Percent resistant Among select Enterobacterales by Hospital Type
Hospital Type% Resistant
General Acute Care Hospitals3.1
Long Term Acute Care Hospitals8.7
Inpatient Rehabilitation Facilities1.2

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.