Multidrug-resistant Acinetobacter
% Resistant in 2024
36.4% Resistant
Number of Resistant Isolates of the Total Number of Isolates Tested In 2024
177 Resistant
/ 486 Tested
% Resistant by Patient Age in 2024
- Pediatric:
- 2.9% Resistant
- Adult:
- 38.9% Resistant
Pathogen Profile
Multidrug-resistant Acinetobacter
Acinetobacter spp. is a type of gram-negative bacteria that is a cause of pneumonia or bloodstream infections among critically ill patients. Fewer than 1 of 10 healthcare-associated infections are caused by Acinetobacter. However, many of these bacteria have become very resistant to antibiotics, and are therefore described as multidrug-resistant.
- Data Source
- National Healthcare Safety Network (NHSN)
- Current Threat Report
Threat LevelNot Currently Rated
Source: COVID-19: U.S. Impact on Antimicrobial Resistance, Special Report 2024
- Years Included
- 2011 - 2024
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 Multidrug resistance Among Acinetobacter spp. by State Map
This map shows the variation in % multidrug resistance among Acinetobacter spp. causing all event types in 2024.
Percent Multidrug resistance Among Acinetobacter spp. by State
| Location | value |
|---|---|
| Alabama | Insufficient Data |
| Alaska | Insufficient Data |
| Arizona | Insufficient Data |
| Arkansas | Insufficient Data |
| California | 40.4 |
| Colorado | Insufficient Data |
| Connecticut | Insufficient Data |
| Delaware | Insufficient Data |
| District of Columbia | Insufficient Data |
| Florida | 10.7 |
| Georgia | Insufficient Data |
| Hawaii | Insufficient Data |
| Idaho | Insufficient Data |
| Illinois | 57.1 |
| Indiana | Insufficient Data |
| Iowa | Insufficient Data |
| Kansas | Insufficient Data |
| Kentucky | Insufficient Data |
| Louisiana | Insufficient Data |
| Maine | Insufficient Data |
| Maryland | Insufficient Data |
| Massachusetts | Insufficient Data |
| Michigan | Insufficient Data |
| Minnesota | Insufficient Data |
| Mississippi | Insufficient Data |
| Missouri | Insufficient Data |
| Montana | Insufficient Data |
| Nebraska | Insufficient Data |
| Nevada | Insufficient Data |
| New Hampshire | Insufficient Data |
| New Jersey | Insufficient Data |
| New Mexico | Insufficient Data |
| New York | 37.1 |
| North Carolina | Insufficient Data |
| North Dakota | Insufficient Data |
| Ohio | Insufficient Data |
| Oklahoma | Insufficient Data |
| Oregon | Insufficient Data |
| Pennsylvania | 31.3 |
| Puerto Rico | 67.5 |
| Rhode Island | Insufficient Data |
| South Carolina | Insufficient Data |
| South Dakota | Insufficient Data |
| Tennessee | Insufficient Data |
| Texas | 62.2 |
| Utah | Insufficient Data |
| Vermont | Insufficient Data |
| Virginia | Insufficient Data |
| Washington | Insufficient Data |
| West Virginia | Insufficient Data |
| Wisconsin | Insufficient Data |
| Wyoming | Insufficient Data |
Percent Multidrug resistance Among Acinetobacter spp. by State List
Geography
| state | value |
|---|---|
| United States | 36.4% |
| Alabama | No Data |
| Alaska | No Data |
| Arizona | No Data |
| Arkansas | No Data |
| California | 40.4% |
| Colorado | No Data |
| Connecticut | No Data |
| Delaware | No Data |
| District of Columbia | No Data |
Changes Over Time in Multidrug resistance Among Acinetobacter 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.
| Year | % Resistant |
|---|---|
| 2011 | 61.6 |
| 2012 | 53.5 |
| 2013 | 56.1 |
| 2014 | 49 |
| 2015 | 44 |
| 2016 | 42.9 |
| 2017 | 42 |
| 2018 | 38.8 |
| 2019 | 32.7 |
| 2020 | 39.3 |
| 2021 | 41.3 |
| 2022 | 41.1 |
| 2023 | 43.6 |
| 2024 | 36.4 |
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.
Multidrug resistance Among Acinetobacter spp. by Hospital Type
This graph displays percent antimicrobial resistance by hospital type in 2024.
Percent resistant Among Acinetobacter spp. by Hospital Type
| Hospital Type | % Resistant |
|---|---|
| General Acute Care Hospitals | 34.3 |
| Long Term Acute Care Hospitals | 75.9 |
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.