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CDC

Antimicrobial Resistance

Cephalosporin-resistant Klebsiella

% Resistant in 2024

29.8% Resistant

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

2,215 Resistant

/ 7,444 Tested

% Resistant by Patient Age in 2024

Pediatric:
25.2% Resistant
Adult:
30.0% Resistant

Pathogen Profile

Cephalosporin-resistant Klebsiella

Klebsiella spp. cause pneumonia, urinary tract infections, and bloodstream infections in hospitalized patients, as well as in patients in nursing homes and other healthcare facilities. Resistance to extended spectrum cephalosporins among some Klebsiella spp. makes infections with such bacteria difficult to treat.

Current Threat Report

Threat LevelSerious

Estimated Cases197,400

Estimated Deaths9,100

Healthcare Costs (USD)$1.2 B

Source: COVID-19: U.S. Impact on Antimicrobial Resistance, Special Report 2024

Years Included
2011 - 2024
Resources

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 Cephalosporin resistance Among Klebsiella spp. by State Map

This map shows the variation in % cephalosporin resistance among Klebsiella spp. causing all event types in 2024.

Percent Cephalosporin resistance Among Klebsiella spp. by State

Percent Cephalosporin resistance Among by State
Locationvalue
Alabama30.5
AlaskaInsufficient Data
Arizona33.6
Arkansas23.3
California31.7
Colorado25
Connecticut31.1
Delaware34.4
District of Columbia47.9
Florida33.9
Georgia36.5
Hawaii8.8
Idaho17.4
Illinois29.2
Indiana16.8
Iowa25.6
Kansas25.8
Kentucky25.7
Louisiana26.4
MaineInsufficient Data
Maryland39.9
Massachusetts32.5
Michigan31.7
Minnesota18.5
Mississippi18.9
Missouri22.1
MontanaInsufficient Data
Nebraska23.1
Nevada36.8
New HampshireInsufficient Data
New Jersey25.2
New Mexico25.8
New York32.5
North Carolina22.8
North DakotaInsufficient Data
Ohio30.4
Oklahoma23.5
Oregon9.3
Pennsylvania25.6
Puerto Rico78
Rhode Island23.1
South Carolina27.7
South Dakota4.3
Tennessee27.2
Texas31.1
Utah20
VermontInsufficient Data
Virginia31
Washington28.3
West Virginia26.9
Wisconsin17.2
WyomingInsufficient Data

Percent Cephalosporin resistance Among Klebsiella spp. by State List

Geography

Geography
statevalue
United States29.8%
Alabama30.5%
AlaskaNo Data
Arizona33.6%
Arkansas23.3%
California31.7%
Colorado25.0%
Connecticut31.1%
Delaware34.4%
District of Columbia47.9%

Changes Over Time in Cephalosporin resistance Among Klebsiella spp.

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 Cephalosporin resistance Among Klebsiella spp.
Year% Resistant
201122.5
201220
201321.8
201420.2
201522.2
201622.2
201721.1
201821
201922.9
202024.4
202125.2
202226.1
202328.4
202429.8

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.

Cephalosporin resistance Among Klebsiella spp. by Hospital Type

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

Percent resistant Among Klebsiella spp. by Hospital Type

Percent resistant Among Klebsiella spp. by Hospital Type
Hospital Type% Resistant
General Acute Care Hospitals28.5
Long Term Acute Care Hospitals52.4
Inpatient Rehabilitation Facilities22

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.