P-1063. Morbidity and Mortality Analysis of Carbapenem-Resistant versus Carbapenem-Susceptible Acinetobacter baumannii infections in patients hospitalized at an Academic Hospital from 2019-2023

Abstract Background Carbapenem-resistant Acinetobacter baumannii (CRAB) is an international health concern, leading to prolonged hospital stays and increased mortality. Global data highlight increased financial and clinical impacts of CRAB, reinforcing the need for surveillance and antimicrobial stewardship to combat this growing threat. Data of CRAB infections is sparse within the U.S. regarding mortality, length of stay (LOS), and cost factors.Table 1Baseline characteristicsTable 2Cost Factors Methods All inpatient cases of A. baumannii at our institution from 2019-2023 were retrospectively reviewed. Patients aged ≥ 18 with isolation of A. baumannii from a non-urinary source with meropenem MIC ≥ 8 or ≤ 2 were included. Primary outcome was 90-day mortality. Secondary outcomes included 30-day mortality, LOS, and additional cost factors. Analysis used JASP Statistical Software. Logistic regression was used to adjust for age, CCI, and infection type.Table 3Outcome/Mortality DataTable 490 and 30-day Infectious Mortality Results 181 A. baumannii isolates were included for analysis. CRAB patients had a higher CCI, rates of paraplegia, recent hospitalizations, recent SNF/LTACH stays, and recent IV antibiotic use, detailed in Table 1. The CRAB cohort had a longer LOS, ICU LOS, longer antibiotic courses (25.12 vs. 13.95 days, p < 0.01), and infectious-related readmissions, detailed in Table 2. CRAB patients had more cultures, imaging, surgeries, and specialty consultations. Our study indicated no overall significant differences in infectious-related mortality at 90 days (aOR=1.78 ,p=0.240) or 30 days (aOR=1.10, p=0.867) when adjusted for age, CCI, and infection type. However, CRAB had a statistically greater 90-day infectious-related mortality rate if surviving at 30 days (OR=8.27, p=0.022). Additionally, wound infections had significantly greater 90-day infectious mortality for CRAB vs. Carbapenem-susceptible A. baumannii (CSAB) (OR=6.04, p=0.03). There were no significant differences in mortality for CRAB vs. CSAB for other infection types. Conclusion CRAB infections were linked to greater morbidity and significantly higher resource use. There was no statistically significant difference in 30- and 90-day mortality, though trends indicate higher 90-day infectious mortality in multiple CRAB subgroup analysis. These findings highlight the need for continued A. baumannii investigation. Disclosures All Authors: No reported disclosures

Authors

Institutions

Publication Details

Journal
Open Forum Infectious Diseases
Published
2026-01-01
DOI
https://doi.org/10.1093/ofid/ofaf695.1258
Primary Topic
Antibiotic Resistance in Bacteria
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

P-1063. Morbidity and Mortality Analysis of Carbapenem-Resistant versus Carbapenem-Susceptible Acinetobacter baumannii infections in patients hospitalized at an Academic Hospital from 2019-2023

Eric Gregory, Kellie Wark, Joanna Kimball, Gabe Haas et al.
Open Forum Infectious Diseases
Antibiotic Resistance in Bacteria
article

P-1063. Morbidity and Mortality Analysis of Carbapenem-Resistant versus Carbapenem-Susceptible Acinetobacter baumannii infections in patients hospitalized at an Academic Hospital from 2019-2023

Eric Gregory, Kellie Wark, Joanna Kimball, Gabe Haas, Regan Konz, Alex Belote
article en

Abstract

Abstract Background Carbapenem-resistant Acinetobacter baumannii (CRAB) is an international health concern, leading to prolonged hospital stays and increased mortality. Global data highlight increased financial and clinical impacts of CRAB, reinforcing the need for surveillance and antimicrobial stewardship to combat this growing threat. Data of CRAB infections is sparse within the U.S. regarding mortality, length of stay (LOS), and cost factors.Table 1Baseline characteristicsTable 2Cost Factors Methods All inpatient cases of A. baumannii at our institution from 2019-2023 were retrospectively reviewed. Patients aged ≥ 18 with isolation of A. baumannii from a non-urinary source with meropenem MIC ≥ 8 or ≤ 2 were included. Primary outcome was 90-day mortality. Secondary outcomes included 30-day mortality, LOS, and additional cost factors. Analysis used JASP Statistical Software. Logistic regression was used to adjust for age, CCI, and infection type.Table 3Outcome/Mortality DataTable 490 and 30-day Infectious Mortality Results 181 A. baumannii isolates were included for analysis. CRAB patients had a higher CCI, rates of paraplegia, recent hospitalizations, recent SNF/LTACH stays, and recent IV antibiotic use, detailed in Table 1. The CRAB cohort had a longer LOS, ICU LOS, longer antibiotic courses (25.12 vs. 13.95 days, p < 0.01), and infectious-related readmissions, detailed in Table 2. CRAB patients had more cultures, imaging, surgeries, and specialty consultations. Our study indicated no overall significant differences in infectious-related mortality at 90 days (aOR=1.78 ,p=0.240) or 30 days (aOR=1.10, p=0.867) when adjusted for age, CCI, and infection type. However, CRAB had a statistically greater 90-day infectious-related mortality rate if surviving at 30 days (OR=8.27, p=0.022). Additionally, wound infections had significantly greater 90-day infectious mortality for CRAB vs. Carbapenem-susceptible A. baumannii (CSAB) (OR=6.04, p=0.03). There were no significant differences in mortality for CRAB vs. CSAB for other infection types. Conclusion CRAB infections were linked to greater morbidity and significantly higher resource use. There was no statistically significant difference in 30- and 90-day mortality, though trends indicate higher 90-day infectious mortality in multiple CRAB subgroup analysis. These findings highlight the need for continued A. baumannii investigation. Disclosures All Authors: No reported disclosures

Open Forum Infectious DiseasesVol. 13(Supplement_1)
University of Kansas (US), Kansas Department of Health and Environment (US), University of Kansas Medical Center (US)
Good health and well-being
Openalex Percentile: Top 90%
Antibiotic Resistance in Bacteria
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.