Abstract
Background
Carbapenem-resistant Pseudomonas aeruginosa (CRPA) isolates can frequently retain susceptibility to traditional antipseudomonal β-lactams including cefepime, ceftazidime and piperacillin/tazobactam.
Objectives
This observational study aimed to determine the proportion of CRPA isolates that were susceptible to all tested other traditional antipseudomonal β-lactams (S-CRPA) and assess whether patients with S-CRPA had improved 30 day mortality compared with patients with NS-CRPA (non-susceptible to cefepime, ceftazidime or piperacillin/tazobactam).
Methods
Patients with CRPA isolated from normally sterile sites, urine, lower respiratory tracts and wounds were identified using active population- and laboratory-based surveillance through the Georgia Emerging Infections Program from August 2016 to July 2018 in Atlanta, GA, USA. Only unique patients who were hospitalized at the time of, or within 1 week of, culture were included. We excluded patients with cystic fibrosis. Multivariable logistic regression estimated the association between S-CRPA and 30 day mortality.
Results
Among 635 adults hospitalized with CRPA, 219 (34%) had S-CRPA. Patients with S-CRPA were more likely to be white (50% versus 38%, P = 0.01) and live in a private residence prior to culture (44% versus 28%, P < 0.01), and less likely to have required ICU care within the prior week (23% versus 36%, P < 0.01) compared with patients with NS-CRPA. Compared with those with NS-CRPA, patients with S-CRPA had an increased 30 day mortality (18% versus 15%, adjusted OR 1.9; 95% CI 1.2–3.1).
Conclusions
S-CRPA was associated with higher 30 day mortality than NS-CRPA in hospitalized patients. The reason for this observed increase in mortality deserves further investigation.
Introduction
Carbapenem-resistant Pseudomonas aeruginosa (CRPA) is the most common carbapenem-resistant Gram-negative organism isolated from hospitalized patients in the USA.1 An estimated 10%–20% of all clinical P. aeruginosa cultures collected in US healthcare settings are resistant to at least one carbapenem, and in critical care settings 26% of both central line-associated bloodstream infections and ventilator-associated pneumonias caused by P. aeruginosa are resistant to carbapenems.2,3 CRPA infections can be challenging to treat and are associated with a 17%–53% all-cause, in-hospital mortality.4,5
Unlike other carbapenem-resistant pathogens, many CRPA isolates are reported to be susceptible to other traditional antipseudomonal β-lactams (cefepime, ceftazidime and piperacillin/tazobactam).6 This occurs because carbapenem resistance in P. aeruginosa is rarely due to carbapenemase production and is instead often mediated through a combination of mechanisms including decreased outer membrane permeability, overexpression of efflux pumps or AmpC β-lactamases and alterations in penicillin-binding proteins.7,8 At some institutions, >50% of CRPA isolates are susceptible to at least one other traditional antipseudomonal β-lactam.6 The clinical significance of this susceptible phenotype is unknown and not specifically addressed in the recent IDSA guidance on treatment of MDR Gram-negative organisms, which focused on difficult-to-treat resistant (DTR) P. aeruginosa (non-susceptible [NS] to piperacillin/tazobactam, ceftazidime, cefepime, aztreonam, meropenem, imipenem-cilastatin, ciprofloxacin and levofloxacin).9
In this study, we used active population- and laboratory-based surveillance data to (i) determine the proportion of CRPA isolates that were susceptible to all tested other traditional antipseudomonal β-lactams (cefepime, ceftazidime and piperacillin/tazobactam) (S-CRPA) and (ii) assess whether patients with S-CRPA had improved 30 day mortality compared with patients with NS-CRPA (NS to cefepime, ceftazidime or piperacillin/tazobactam).
Methods
Ethics
This study was done through the Georgia Emerging Infections Program and data collection and analysis were approved by the Emory University Institutional Review Board (IRB#0089004) with a waiver of patients’ informed consent. This study was conducted in accordance with the Declaration of Helsinki as well as national and institutional standards.
Data collection and study population
We used active population- and laboratory-based surveillance data of CRPA isolated from normally sterile sites (includes blood, bone, cerebrospinal fluid, deep tissue/internal abscess, pleural fluid, peritoneal fluid, pericardial fluid, synovial fluid or other normally sterile sites), urine, lower respiratory tract (includes sputum, tracheal aspirate, bronchoalveolar lavage or other lower respiratory tract sample) and wounds, collected by the CDC-funded Georgia Emerging Infections Program from August 2016 to July 2018 in Atlanta, GA, USA (population ∼4 million). CRPA was defined as having an MIC ≥8 mg/L for doripenem, imipenem or meropenem. The MIC was determined by the respective local clinical laboratory’s automated testing instrument. Cases were identified by routine queries of laboratory automated testing instruments in the catchment area. MICs were interpreted according to the CLSI 2020 guidelines. Patient demographics (age, sex, race) and clinical characteristics (residence prior to culture, Charlson comorbidity index [CCI], length of stay, admission to the ICU in the week prior to culture, specimen source and discharge location) were obtained through medical record review. All-cause 30 day mortality data was supplemented by review of Georgia Vital Statistics records.
We retrospectively analysed all adults without cystic fibrosis (CF) with their first incident CRPA case where they were hospitalized at the time of, or within 1 week of, culture collection (Figure S1, available as Supplementary data at JAC-AMR Online). Incident cases were defined as the first CRPA isolate from a patient during a 30 day period that met the surveillance definition. We excluded cases with incomplete medical record review and those without susceptibility testing for at least one of the other traditional antipseudomonal β-lactams.
Statistical analysis
We determined the proportion of patients with S-CRPA and compared patients with S-CRPA with those with NS-CRPA using χ2 tests for categorical variables and Wilcoxon rank-sum tests for continuous variables. The CCI was dichotomized based on the median value in the analysis. Multivariable logistic regression estimated the association between S-CRPA (exposure) and 30 day mortality (outcome). All demographic and clinical characteristic variables that were consistent with our a priori directed acyclic graph and significant (P < 0.2) for both the exposure (S-CRPA phenotype) and outcome (30 day mortality) in the univariable analyses were included in the model as possible confounders. Length of stay variables were not included in the model as these were considered to be on the causal pathway. All analyses were performed in SAS 9.4 (SAS Institute, Cary, NC, USA).
Results
Of the 1733 incident CRPA cases, 779 were from adults without CF and who were hospitalized at the time of or within 1 week of CRPA culture. In total, 635 unique patients had isolates with susceptibility testing for at least one of the other traditional antipseudomonal β-lactams (cefepime, ceftazidime and piperacillin/tazobactam) (Figure S1). The median age was 63 years (IQR 53–75) and 384 (61%) were male. Most (n = 421, 66%) resided in a hospital or long-term care facility 4 days prior to culture and nearly one-third (n = 201, 32%) were admitted to the ICU within the week prior to culture. The most common culture sources were the respiratory tract (n = 224, 35%) and urine (n = 243, 38%) (Table 1).
Table 1.
Characteristics and outcomes of hospitalized patients with CRPA in metropolitan Atlanta, stratified by susceptibility to traditional antipseudomonal β-lactams
| All CRPA (n = 635) | S-CRPAa (n = 219) | NS-CRPAb (n = 416) | P valuec | |
|---|---|---|---|---|
| Age category (years) | 0.09 | |||
| 19–49 | 124 (20) | 37 (17) | 87 (21) | |
| 50–64 | 187 (29) | 64 (29) | 123 (30) | |
| 65–79 | 229 (36) | 75 (34) | 154 (37) | |
| >79 | 95 (15) | 43 (20) | 52 (12) | |
| Male (n = 634) | 384 (61) | 127 (58) | 257 (62) | 0.39 |
| Race (n = 595) | 0.01 | |||
| Black | 333 (56) | 97 (48) | 236 (60) | |
| White | 248 (42) | 101 (50) | 147 (38) | |
| Multiracial or other race | 14 (2) | 6 (3) | 8 (2) | |
| Charlson comorbidity index >2 | 307 (48) | 98 (45) | 209 (50) | 0.19 |
| Residence 4 days prior to culture | <0.01 | |||
| Hospital inpatient | 277 (44) | 80 (37) | 197 (47) | |
| Long-term facility (LTCF or LTACH) | 144 (23) | 42 (19) | 102 (25) | |
| Private residence | 214 (34) | 97 (44) | 117 (28) | |
| Location of culture collection | 0.69 | |||
| Hospital | 485 (76) | 163 (74) | 322 (77) | |
| Long-term facility (LTCF or LTACH) | 17 (3) | 6 (3) | 11 (3) | |
| Outpatient location | 133 (21) | 50 (23) | 83 (20) | |
| ICU in 7 days prior to culture | 201 (32) | 50 (23) | 151 (36) | <0.01 |
| Culture source | 0.11 | |||
| Sterile sited | 52 (8) | 17 (8) | 35 (8) | |
| Lower respiratory tract | 224 (35) | 64 (29) | 160 (39) | |
| Urine | 243 (38) | 94 (43) | 149 (36) | |
| Wound | 116 (18) | 44 (20) | 72 (17) | |
| Time from admission to discharge/death, days, median (IQR) | 13 (6–38) | 10 (5–28) | 16 (7–42) | <0.01 |
| Time from culture to discharge/death, days, median (IQR) | 9 (4–19) | 7 (3–14) | 10 (5–21) | <0.01 |
| Outcome at 30 dayse | ||||
| Death | 102 (16) | 40 (18) | 62 (15) | 0.27 |
| Alive and still hospitalized | 94 (15) | 22 (10) | 72 (17) | 0.01 |
| Alive and discharged | 439 (69) | 157 (72) | 282 (68) | 0.31 |
| LTACH | 56 (13) | 20 (13) | 36 (13) | |
| LTCF | 145 (33) | 41 (26) | 104 (37) | |
| Private residence | 233 (53) | 94 (60) | 139 (49) | |
| Other or unknown | 5 (1) | 2 (1) | 3 (1) |
All values are presented as n (%) unless otherwise stated.
LTCF, long-term care facility; LTACH, long-term acute care hospital.
CRPA isolates susceptible to all of the following tested antibiotics: cefepime, ceftazidime and piperacillin/tazobactam.
CRPA isolates non-susceptible to at least one of cefepime, ceftazidime and piperacillin/tazobactam.
Compared S-CRPA to NS-CRPA using χ2 tests for categorical variables and Wilcoxon rank-sum tests for continuous variables.
Sterile sites included cultures from blood, bone, cerebrospinal fluid, deep tissue/internal abscesses, pericardial fluid, peritoneal fluid, synovial fluid and pleural fluid.
Outcome at 30 days has the following mutually exclusive categories: death, alive and still hospitalized, or alive and discharged. Of those who were alive and discharged, the categories for discharge were LTACH, LTCF, private residence or other/unknown.
Non-susceptibility to multiple antibiotic classes7 (defined in Table S1) occurred frequently with 522 (82%) NS to ≥3 classes and 214 (34%) NS to ≥5 classes of antibiotics. A total of 219 (34%) patients had S-CRPA. Patients with S-CRPA were more likely to be white (50% versus 38%, P = 0.01) and live in a private residence prior to culture (44% versus 28%, P < 0.01), and less likely to have been in the ICU in the week prior (23% versus 36%, P < 0.01) than patients with NS-CRPA (Table 1).
Forty (18%) patients with S-CRPA died within 30 days of culture, compared with 62 (15%) patients with NS-CRPA (unadjusted OR 1.3, 95% CI 0.8–2.0). In a multivariable analysis, S-CRPA was significantly associated with 30 day mortality (adjusted OR 1.9, 95% CI 1.2–3.1) after controlling for age, CCI, place of residence and admission to the ICU prior to culture, which were all independent risk factors for 30 day mortality (Table 2).
Table 2.
Factors associated with 30 day mortality in patients with CRPA
| Alive (n = 533) | Dead (n = 102) | P valuea | Unadjusted OR (95% CI) | Adjusted OR (95% CI)b | |
|---|---|---|---|---|---|
| S-CRPAc | 179 (34) | 40 (39) | 0.27 | 1.3 (0.8–2.0) | 1.9 (1.2–3.1) |
| Age category (years) | <0.01 | ||||
| 19–49 | 115 (22) | 9 (9) | Reference | Reference | |
| 50–64 | 160 (30) | 27 (26) | 2.2 (1.0–4.8) | 2.4 (1.1–5.6) | |
| 65–79 | 185 (35) | 44 (43) | 3.0 (1.4–6.5) | 2.9 (1.3–6.4) | |
| >79 | 73 (14) | 22 (22) | 3.9 (1.7–8.8) | 5.3 (2.1–13.0) | |
| Male (n = 634) | 327 (61) | 57 (56) | 0.3 | 0.8 (0.5–1.2) | — |
| Race (n = 595) | 0.8 | ||||
| Black | 281 (57) | 52 (53) | 0.87 (0.6–1.3)d | — | |
| White | 205 (41) | 43 (44) | Reference | — | |
| Multiracial or other | 11 (2) | 3 (3) | Reference | — | |
| Charlson comorbidity index >2 | 244 (46) | 63 (62) | <0.01 | 1.9 (1.2–3.0) | 1.7 (1.1–2.8) |
| Residence 4 days prior to culture | <0.01 | ||||
| Private residence | 204 (38) | 10 (10) | Reference | Reference | |
| Inpatient | 219 (41) | 58 (57) | 5.4 (2.7–10.9) | 4.3 (2.0–9.3) | |
| Long-term care facilitye | 110 (21) | 34 (33) | 6.3 (3.0–13.2) | 6.4 (2.9–14.0) | |
| ICU in 7 days prior to culture | 145 (27) | 56 (55) | <0.01 | 3.3 (2.1–5.0) | 3.5 (2.1–5.9) |
| Sterile site infection | 38 (7) | 14 (14) | 0.03 | 2.1 (1.1–4.0) | — |
All values are presented as n (%) unless otherwise stated.
Compared those alive versus dead at 30 days using χ2 tests.
Final multivariable model was created to estimate the association between S-CRPA phenotype and 30 day mortality. Blank cells indicate the term was not included in the final model.
CRPA isolates susceptible to all of the following tested antibiotics: cefepime, ceftazidime and piperacillin/tazobactam.
OR was calculated comparing black race with any other race.
This includes long-term care facilities and long-term acute care hospital.
Discussion
Here we identified that approximately one-third of patients with CRPA in Atlanta, GA have S-CRPA, and these individuals have almost double the odds of dying compared with those with NS-CRPA. This association was only significant after controlling for other expected risk factors for 30 day mortality in this patient population including age, increased number of comorbidities and recent healthcare or ICU exposure. While we are not aware of prior studies specifically investigating S-CRPA, one study analysed a similar phenotype of P. aeruginosa only resistant to carbapenems (but susceptible to all other antibiotic classes) and reported a high all-cause, 30 day mortality rate of 72%.10
Differences in antibiotic treatment regimens may help explain the increase in observed mortality in S-CRPA. We hypothesize that patients with S-CRPA are frequently treated with other traditional antipseudomonal β-lactams reported as susceptible. However, evolving β-lactam resistance during therapy with cefepime and ceftazidime has been described in both clinical and in vitro studies due to increased expression of efflux pumps and AmpC β-lactamases.7,11–13 Development of additional β-lactam resistance could lead to clinical failure and contribute to increased mortality. While we did not have data on antibiotic use in this study, we believe that evaluating treatment regimens used in this patient population and determining if specific patterns of antibiotic use are associated with mortality are important next steps. An alternative hypothesis is that the observed decrease in mortality rates was lower in patients with NS-CRPA if they had more prior antibiotic exposure and thus may be more likely to have a mild infection or a positive culture that only represents colonization.
A major strength of this study is use of active population- and laboratory-based surveillance data to systematically identify all CRPA cases throughout metropolitan Atlanta, GA, resulting in a large sample size of >600 non-CF adults with CRPA. Notable limitations include that we did not have antibiotic use data or a severity of illness score, which may limit the generalizability of our findings. Additionally, similar to other studies, we are not able to differentiate between colonization and infection.14,15 We limited our sample to only patients that were hospitalized within 1 week of culture to capture patients more likely to have an active CRPA infection requiring treatment. Lastly, as with all observational studies, we could not control for unmeasured differences between S-CRPA and NS-CRPA patients.
The S-CRPA phenotype is common among P. aeruginosa but unique to carbapenem-resistant organisms. Our observational study suggests that S-CRPA may represent an important phenotypic subgroup to consider when choosing antibiotics, similar to choosing treatment for patients with ceftriaxone- or cefoxitin-resistant Enterobacterales infections. We believe our findings are hypothesis generating and should motivate additional research on the treatment of patients with S-CRPA. As global concerns of antibiotic resistance continue to rise, selecting the narrowest spectrum but effective antibiotic for different phenotypic patterns of resistance remains a crucial, unanswered question.
Supplementary Material
Acknowledgements
A portion of this work was presented at IDWeek in October 2020 (Poster 834).
We are grateful to all of the Georgia Emerging Infections Program staff who collect and maintain these data.
Funding
Surveillance of carbapenem-resistant P. aeruginosa was funded through the Centers for Disease Control and Prevention Emerging Infection Program (U50CK000485). J.H.-A. was supported by the Antibacterial Resistance Leadership Group fellowship (National Institute of Allergy and Infectious Diseases UM1AI104681). Funding agencies were not involved in the study design, data analysis, interpretation of results or drafting of the manuscript.
Transparency declarations
None to declare.
Disclaimer
The content is solely the responsibility of the authors and does not necessarily represent the official views of the Centers for Disease Control and Prevention or National Institutes of Health.
Supplementary data
Table S1 and Figure S1 are available as Supplementary data at JAC-AMR Online.
References
- 1. Cai B, Echols R, Magee G. et al. Prevalence of carbapenem-resistant Gram-negative infections in the United States predominated by Acinetobacter baumannii and Pseudomonas aeruginosa. Open Forum Infect Dis 2017; 4: ofx176. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Weiner-Lastinger LM, Abner S, Edwards JR. et al. Antimicrobial-resistant pathogens associated with adult healthcare-associated infections: summary of data reported to the National Healthcare Safety Network, 2015–2017. Infect Control Hosp Epidemiol 2020; 41: 1–18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Doi Y. Treatment options for carbapenem-resistant Gram-negative bacterial infections. Clin Infect Dis 2019; 69 Suppl 7: S565–75. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Nathwani D, Raman G, Sulham K. et al. Clinical and economic consequences of hospital-acquired resistant and multidrug-resistant Pseudomonas aeruginosa infections: a systematic review and meta-analysis. Antimicrob Resist Infect Control 2014; 3: 32. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Aviv T, Lazarovitch T, Katz D. et al. The epidemiological impact and significance of carbapenem resistance in Pseudomonas aeruginosa bloodstream infections: a matched case–case-control analysis. Infect Control Hosp Epidemiol 2018; 1262–5. [DOI] [PubMed] [Google Scholar]
- 6. Buehrle DJ, Shields RK, Clarke LG. et al. Carbapenem-resistant Pseudomonas aeruginosa bacteremia: risk factors for mortality and microbiologic treatment failure. Antimicrob Agents Chemother 2016; 61: e01243-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Horcajada JP, Montero M, Oliver A. et al. Epidemiology and treatment of multidrug-resistant and extensively drug-resistant Pseudomonas aeruginosa infections. Clin Microbiol Rev 2019; 32: e00031-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Walters MS, Grass JE, Bulens SN. et al. Carbapenem-resistant Pseudomonas aeruginosa at US Emerging Infections Program Sites, 2015. Emerg Infect Dis 2019; 25: 1281–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Tamma PD, Aitken SL, Bonomo RA. et al. Infectious Diseases Society of America guidance on the treatment of extended-spectrum β-lactamase producing Enterobacterales (ESBL-E), carbapenem-resistant Enterobacterales (CRE), and Pseudomonas aeruginosa with difficult-to-treat resistance (DTR-P. aeruginosa). Clin Infect Dis 2021; 72: e169–83. [DOI] [PubMed] [Google Scholar]
- 10. Lee C-H, Su T-Y, Ye J-J. et al. Risk factors and clinical significance of bacteremia caused by Pseudomonas aeruginosa resistant only to carbapenems. J Microbiol Immunol Infect 2017; 50: 677–83. [DOI] [PubMed] [Google Scholar]
- 11. Zanetti G, Bally F, Greub G. et al. Cefepime versus imipenem-cilastatin for treatment of nosocomial pneumonia in intensive care unit patients: a multicenter, evaluator-blind, prospective, randomized study. Antimicrob Agents Chemother 2003; 47: 3442–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Queenan AM, Shang W, Bush K. et al. Differential selection of single-step AmpC or efflux mutants of Pseudomonas aeruginosa by using cefepime, ceftazidime, or ceftobiprole. Antimicrob Agents Chemother 2010; 54: 4092–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Cabot G, Zamorano L, Moyà B. et al. Evolution of Pseudomonas aeruginosa antimicrobial resistance and fitness under low and high mutation rates. Antimicrob Agents Chemother 2016; 60: 1767–78. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Jernigan JA, Hatfield KM, Wolford H. et al. Multidrug-resistant bacterial infections in U.S. hospitalized patients, 2012–2017. N Engl J Med 2020; 382: 1309–19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Babiker A, Clarke LG, Saul M. et al. Changing epidemiology and decreased mortality associated with carbapenem-resistant Gram-negative bacteria 2000–2017. Clin Infect Dis 2020; doi: 10.1093/cid/ciaa1464. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
