ABSTRACT
Infections from multidrug-resistant (MDR) bacteria lead to worse outcomes in immunocompromised patients. Eravacycline (ERV) is effective against MDR gram-negative and gram-positive bacteria, but its effects in immunocompromised populations remain unstudied. We aimed to evaluate clinical end points of immunocompromised patients receiving timely versus late ERV therapy. This multicenter, retrospective, observational study (October 2018 to September 2022) included adult immunocompromised patients hospitalized and treated with ERV for ≥72 h. The primary outcome was a composite of all-cause 30-day mortality, failure to improve clinically while on ERV, and/or microbial recurrence within 30 days of ERV initiation. Inverse probability of treatment weighting (IPTW) and Kaplan-Meier analyzes were used. Eighty-two patients from 17 US centers were included (median age 62 years; 59% male; intensive care unit admissions 57%). In the unadjusted cohort, timely ERV significantly reduced odds of clinical treatment failure (odds ratio [OR]: 0.321, 95% confidence interval [CI]: 0.129–0.800, P = 0.012) and microbial recurrence (OR: 0.545, 95% CI: 0.326–0.913, P = 0.034) compared to late ERV; in the IPTW-adjusted cohort, these associations remained significant with ORs of 0.675 (95% CI: 0.465–0.979, P = 0.029) for treatment failure and 0.384 (95% CI: 0.142–0.943, P = 0.041) for recurrence. Kaplan-Meier analysis showed a higher cumulative proportion of clinical treatment failure in the late ERV group (57%) compared to the timely ERV group (30%, P = 0.013), with a significantly longer time to clinical treatment failure in the timely ERV group (log-rank P = 0.034). Timely initiation of ERV in immunocompromised patients may improve clinical outcomes by reducing treatment failure and microbial recurrence compared to later initiation.
IMPORTANCE
This multicenter, retrospective study evaluates the impact of timely versus late initiation of eravacycline (ERV) in immunocompromised patients with multidrug-resistant (MDR) bacterial infections. Immunocompromised patients face heightened risks of severe infections due to weakened immune defenses and limited treatment options, yet data on ERV use in this population are scarce. Our findings demonstrate that timely ERV initiation ≤72 h from index culture collection) significantly reduces clinical treatment failure and microbial recurrence compared to late initiation, with inverse probability of treatment weighting-adjusted odds ratios of 0.675 (P = 0.029) for treatment failure and 0.384 (P = 0.041) for recurrence. Kaplan-Meier analysis further confirms that delayed ERV therapy is associated with a higher cumulative incidence of clinical failure (57% vs 30%, P = 0.013). These results highlight the importance of early ERV initiation in optimizing outcomes for immunocompromised patients and addressing the growing challenge of MDR infections, emphasizing the need for further prospective studies to confirm these findings.
KEYWORDS: eravacycline, multidrug-resistant, antimicrobial stewardship, immunocompromised
INTRODUCTION
Multidrug-resistant (MDR) bacterial infections pose a significant global health threat, with pathogens like methicillin-resistant Staphylococcus aureus (MRSA), carbapenem-resistant Enterobacteriaceae (CRE), and vancomycin-resistant Enterococcus (VRE) demonstrating resistance to multiple antibiotics and complicating treatment (1). These pathogens resist treatment through mechanisms like drug efflux pumps, structural mutations, and enzyme production, diminishing antibiotic effectiveness (2). Although novel antibiotics such as ceftazidime-avibactam and meropenem-vaborbactam have been introduced, resistance has emerged rapidly in some clinical settings, and treatment options remain limited, emphasizing the urgent need for continued development of effective therapies against MDR infections (3, 4).
Immunocompromised individuals, including those with primary immunodeficiencies (PIDs) or those undergoing treatments for malignancies, transplants, or autoimmune diseases, are particularly vulnerable to MDR bacterial infections due to weakened immune defenses (5–7). Long-term immunosuppressive therapy, essential for conditions like hematological malignancies and organ transplants, further predisposes these patients to infection and adverse outcomes associated with antibiotic use (8, 9). Despite this high-risk profile, immunocompromised patients are often excluded from randomized controlled trials (RCTs) evaluating antibiotic safety and efficacy, leaving a gap in evidence-based guidance for managing infections in this population (10).
Bacterial infections in immunocompromised patients involve both gram-positive and gram-negative bacteria, with resistance exacerbating the challenge of effective treatment (11–13). Eravacycline (ERV), a novel fluorocycline with broad-spectrum activity against MDR gram-positive and gram-negative bacteria, including strains resistant to traditional tetracyclines, has shown promise for treating MDR infections (14–16). This study evaluates the timing of ERV administration to optimize its clinical outcomes, aiming to provide insights into effective use in this vulnerable population.
MATERIALS AND METHODS
This was a multicenter, retrospective observational study of hospitalized adult patients conducted at 17 geographically distinct medical centers throughout the United States from October 2018 to September 2022. Patients meeting the following criteria were eligible for inclusion: (i) immunocompromised, (ii) ≥18 years of age, (iii) receipt of ERV for ≥72 continuous hours, and (iv) presence of an active bacterial infection, defined as microbiological evidence of pathogenic bacteria along with clinical symptoms, including fever (>38°C [100.4°F] or <36°C [96.8°F]), abnormal white blood cell count (WBC <4,000/µL or >12,000/µL or >10% bands), tachycardia (heart rate >90 bpm), or tachypnea (respiratory rate >20 breaths/min), while excluding colonization. Colonization was excluded based on the absence of systemic inflammatory signs (e.g., fever, leukocytosis, and tachycardia) and clinical judgment documented in the medical record. Patients were considered immunocompromised if they met one or more of the following criteria at the time of index hospitalization: receipt of cytotoxic chemotherapy, solid organ transplant (SOT), or bone marrow transplant (BMT) within the prior 90 days; diagnosis of HIV/AIDS with a CD4+ T cell count <200 cells/mm3; chronic corticosteroid use, defined as >40 mg of prednisone (or equivalent) daily for ≥30 days preceding ERV initiation; presence of an active hematologic malignancy (e.g., leukemia, lymphoma); history of splenectomy; absolute neutrophil count (ANC) < 500 cells/mm3 at time of ERV initiation, when not attributable to the conditions already listed above (e.g., secondary to drug toxicity, autoimmune disease, or idiopathic neutropenia).
Patients were excluded if any of the following occurred: transferred in from an outside hospital with known positive culture warranting ERV, pregnant women, prisoners, or any of the following within 72 h of index culture collection: (i) death, (ii) transferred to hospice, or (iii) transferred to an outside hospital. The primary outcome was a composite of clinical treatment failure defined as the presence of any of the following: (i) all-cause 30-day mortality, (ii) failure to improve clinically while on ERV, or (iii) microbial recurrence warranting treatment within 30 days of ERV initiation. Failure to improve clinically was defined as patients meeting one or more of the following criteria: (i) failure to resolve or improve infection-related abnormal WBC count; (ii) failure to resolve or improve abnormal temperature; and/or (iii) failure to improve signs or symptoms as documented by the treating physician, which resulted in a change in antibiotic therapy. Timely and late ERV therapy were defined as initiation of ERV within or after 72 h of index culture collection, respectively. The timing of ERV initiation was based on clinical judgment at each site and did not require confirmed culture or susceptibility results prior to administration. Combination therapy was defined as the concurrent use of at least one additional systemic antimicrobial agent with ERV for ≥48 h of overlapping administration.
For categorical data, Pearson chi-square or Fisher’s exact test was used as appropriate. For continuous data, the Wilcoxon rank-sum test was used. Kaplan-Meier analysis was performed to assess time to clinical treatment failure. Log-rank P value was reported to evaluate statistical significance between the timely and late ERV groups and the time to clinical treatment failure over the analysis period. To ensure groups were as similar as possible at the time of positive index culture collection and to allow unbiased comparisons between the timely and late ERV groups, analyzes were adjusted for possible confounding with IPTW using baseline covariates with a P ≤ 0.1 present in at least 10% of the total population (17). Covariate balance was assessed through the Kolmogorov-Smirnov goodness-of-fit statistic and standardized mean difference, with >0.1 and >0.2 indicating an imbalance, respectively. The predictive ability of the propensity score model was evaluated by the area under the receiver operating characteristic curve. Bivariate regression analyzes were subsequently conducted to compare primary and secondary outcomes between the weighted timely and late ERV cohorts. Odds ratio (OR) and adjusted OR with 95% confidence interval (CI) were calculated. Statistical analyzes were performed using IBM SPSS Statistics, version 29.0 (IBM Corp., Armonk, NY, USA).
RESULTS
Baseline demographics and clinical characteristics
This study evaluated 82 immunocompromised patients receiving timely ERV (n = 40) or late (n = 42) ERV. Baseline demographic and clinical characteristic data between groups are listed in Table 1. Patient cohorts were well balanced at baseline; however, significantly fewer patients in the timely ERV group received active antibiotic therapy prior to ERV initiation (28% vs 69%; P < 0.001) and concomitant intravenous (IV) antibiotic therapy (25% vs 52%; P = 0.011) compared to the late ERV group, respectively.
TABLE 1.
Baseline and clinical characteristicsb
| Characteristicsa | Timely ERV (n = 40) |
Late ERV (n = 42) |
P value |
|---|---|---|---|
| Age (years) | 61 (51–70) | 62 (52–69) | 0.989 |
| Male | 23 (57.5) | 25 (59.5) | 0.515 |
| Race | |||
| African American | 10 (25) | 7 (16.7) | 0.172 |
| Caucasian | 25 (62.5) | 31 (73.8) | 0.194 |
| Hispanic | 4 (10) | 3 (7.1) | 0.643 |
| Other | 1 (2.5) | 1 (2.4) | 0.512 |
| Baseline SCr (mg/dL) | 0.86 (0.59–1.24) | 0.89 (0.62–1.38) | 0.810 |
| Admitted from | |||
| Home | 26 (65) | 27 (64.3) | 0.504 |
| NH/LTC | 6 (15) | 6 (14.3) | 0.553 |
| Inpatient rehab | 2 (5) | 1 (2.4) | 0.472 |
| Referral from clinic | 1 (2.5) | 1 (2.4) | 0.734 |
| Transfer from outside hospital | 5 (12.5) | 7 (16.7) | 0.431 |
| Charlson comorbidity index | 4 (2–6) | 5 (3–7) | 0.375 |
| Immunocompromising condition | |||
| Bone marrow transplant | 6 (15) | 2 (4.8) | 0.234 |
| Chronic steroid use | 6 (15) | 9 (21.4) | 0.641 |
| Cytotoxic chemotherapy | 18 (45) | 12 (28.6) | 0.189 |
| HIV/AIDS with CD4 <200 | 1 (2.5) | 2 (4.8) | >0.999 |
| Leukemia or lymphoma | 10 (25) | 8 (19) | 0.701 |
| Neutropenia | 5 (12.5) | 8 (19) | 0.611 |
| Splenectomy | 1 (2.5) | 3 (7.1) | 0.644 |
| Solid organ transplant | 7 (17.5) | 3 (7.1) | 0.273 |
| Patients with ≥2 conditions | 14 (35) | 17 (40.5) | 0.777 |
| SOFA score | 3 (0–4) | 4 (1–7) | 0.156 |
| APACHE II score | 25 (19–28) | 24 (19–28) | 0.403 |
| ICU admission | 22 (55) | 25 (60) | 0.679 |
| In ICU at index culture collection | 8 (20) | 14 (33) | 0.173 |
| Culture specimen | |||
| Blood | 11 (28) | 12 (29) | 0.914 |
| Fluid | 10 (25) | 12 (29) | 0.715 |
| Respiratory | 12 (30) | 10 (24) | 0.527 |
| Tissue | 7 (18) | 8 (19) | 0.856 |
| ID consult | 39 (98) | 41 (98) | 0.134 |
| Active antibiotic before ERV | 11 (28) | 29 (69) | <0.001 |
| Amikacin | 0 (0) | 1 (2.4) | >0.999 |
| Ceftazidime/avibactam | 1 (2.5) | 3 (7.1) | 0.644 |
| Ertapenem | 0 (0) | 4 (9.5) | 0.137 |
| Gentamicin | 0 (0) | 2 (4.8) | 0.496 |
| Meropenem | 3 (7.5) | 5 (11.9) | 0.764 |
| Meropenem/vaborbactam | 0 (0) | 2 (4.8) | 0.496 |
| Tigecycline | 0 (0) | 1 (2.4) | >0.999 |
| Vancomycin | 7 (17.5) | 11 (26.2) | 0.494 |
| Reason for transition to ERV | |||
| Consolidation of therapy | 5 (12.5) | 17 (40.5) | 0.009 |
| Safety/tolerability | 3 (7.5) | 8 (19) | 0.226 |
| Carbapenem-sparing | 3 (7.5) | 4 (9.5) | >0.999 |
| Concomitant IV antibiotic | 10 (25) | 22 (52) | 0.021 |
| Amikacin | 2 (5) | 4 (9.5) | 0.717 |
| Ciprofloxacin | 1 (2.5) | 1 (2.4) | >0.999 |
| Colistin | 1 (2.5) | 2 (4.8) | >0.999 |
| Gentamicin | 0 (0) | 2 (4.8) | 0.496 |
| Imipenem | 1 (2.5) | 0 (0) | 0.981 |
| Levofloxacin | 0 (0) | 2 (4.8) | 0.496 |
| Meropenem | 2 (5) | 5 (11.9) | 0.471 |
| Tobramycin | 1 (2.5) | 4 (9.5) | 0.386 |
| Trimethoprim/sulfamethoxazole | 1 (2.5) | 2 (4.8) | >0.999 |
| Duration of antibiotic therapy | 7 (4.4–10.9) | 8.7 (6.2–16) | 0.439 |
Data are presented as “number (%)” or “median (interquartile range),” as appropriate. Timely and late ERV are defined as receipt of ERV within or after 72 h of index culture collection, respectively.
APACHE II, acute physiology and chronic health evaluation; ERV, eravacycline; ICU, intensive care unit; ID, infectious diseases; IV, intravenous; NH/LTC, nursing home/long-term care; SCr, serum creatinine; SOFA, sequential organ failure assessment.
Median (interquartile range [IQR]) age was 62 (53–70) years and 59% were male. Hospital length of stay was 28 (13–42) days and 67% were admitted to the intensive care unit (ICU). SOFA and APACHE II scores were 4 (1–7) and 16 (11–20), respectively. Most patients had Enterobacterales (59%) or Enterococci (37%) spp. infections (Fig. 1). Of those, 21% were carbapenem-resistant Enterobacterales (CRE) and 19% were vancomycin-resistant Enterococci (VRE), respectively. Infectious disease consultation was obtained in 98% of patients.
Fig 1.
Index cultured organisms treated with eravacycline. *Other: Citrobacter koseri, Klebsiella oxytoca, Morganella morganii, Proteus mirabilis, Serratia marcescens, and Streptococcus spp.
The propensity score distribution between patients receiving timely versus late ERV was adequately balanced after IPTW, as demonstrated by the Kolmogorov-Smirnov test with pre- and post-IPTW P values of 0.022 and 0.469, respectively. The prediction ability of the propensity score model with an area under the receiver operating characteristic curve was 80%. Unadjusted and IPTW-adjusted primary and secondary end points are presented in Table 2.
TABLE 2.
Clinical end pointsb
| Outcomesa | Unadjusted cohort IPTW cohort | IPTW cohort | ||||
|---|---|---|---|---|---|---|
| Timely ERV (n = 40) | Late ERV (n = 42) | OR (95% CI) | P value | aOR (95% CI) | P value | |
| Clinical treatment failure | 12 (30) | 24 (57) | 0.321 (0.129–0.800) | 0.012 | 0.675 (0.465–0.979) | 0.029 |
| All-cause 30-day mortality | 12 (30) | 14 (33) | 0.857 (0.337–2.177) | 0.466 | 0.912 (0.135–1.263) | 0.653 |
| Worsen/fail to improve clinically | 0 (0) | 3 (7) | 1.097 (0.367–3.276) | 0.544 | 1.444 (0.446–4.678) | 0.750 |
| Microbial recurrence | 0 (0) | 7 (17) | 0.545 (0.326–0.913) | 0.034 | 0.384 (0.142–0.943) | 0.041 |
| Hospital length of stay (days) | 20 (11–36) | 31 (15–46) | 0.995 (0.982–1.008) | 0.088 | 0.755 (0.368–1.549) | 0.194 |
| ICU length of stay (days) | 10 (4–22) | 23 (13–50) | 0.996 (0.970–1.022) | 0.108 | 0.776 (0.059–2.190) | 0.374 |
| 60-day hospital readmission | 19 (48) | 17 (40) | 0.417 (0.495–4.054) | 0.056 | 0.384 (0.142–1.043) | 0.071 |
Data are presented as “number (%)” or “Odds ratio (95% confidence interval),” as appropriate. Timely and late ERV are defined as receipt of ERV within or after 72 h of index culture collection, respectively.
aOR, adjusted odds ratio; ERV, eravacycline; ICU, intensive care unit; IPTW, inverse probability of treatment weighting; OR, odds ratio.
Primary and secondary outcomes
In the unadjusted cohort, timely ERV was associated with significantly lower odds of clinical treatment failure (OR: 0.321, 95% CI: 0.129–0.800, P = 0.012) and microbial recurrence (OR: 0.545, 95% CI: 0.326–0.913, P = 0.034) compared to late ERV. In the IPTW cohort, these associations remained significant with adjusted ORs of 0.675 (95% CI: 0.465–0.979, P = 0.029) for clinical treatment failure and 0.384 (95% CI: 0.142–0.943, P = 0.041) for microbial recurrence. No significant differences were observed in all-cause 30-day mortality, clinical worsening, hospital length of stay, ICU length of stay, or 60-day hospital readmission between the timely and late ERV groups in either cohort.
Kaplan-Meier analysis (Fig. 2) demonstrated a significant increase in the cumulative proportion of patients meeting the primary end point of clinical treatment failure (12/40 [30%] for the timely ERV group and 24/42 [57%] of the late ERV group; P = 0.013). Furthermore, the time to clinical treatment failure was significantly longer in the timely ERV group compared to the late ERV group (log-rank P = 0.034). The median time to clinical treatment failure was 27 h (IQR, 15–60 h) in the timely group versus 13 h (IQR, 6–20 h) in the late group, further supporting the benefit of earlier ERV initiation in this population.
Fig 2.
Kaplan-Meier curve for time to clinical treatment Failure. This Kaplan-Meier curve illustrates the probability of clinical treatment failure over time (measured in hours) in two groups: patients who received timely eravacycline (ERV) therapy (ERV = 1, green line) and those who received it later (ERV = 0, blue line). The y-axis represents the cumulative probability of clinical treatment failure, while the x-axis represents time in hours. Patients in the timely ERV group demonstrated a lower cumulative probability of clinical treatment failure compared to those in the late group. A statistically significant difference between the two groups was observed, as indicated by the log-rank test (P = 0.034). The median time to clinical treatment failure was 27 h (interquartile range [IQR], 15–60 hours) in the timely group versus 13 h (IQR, 6–20 h) in the late group, highlighting the association between earlier ERV initiation and delayed or reduced likelihood of treatment failure. Censored patients include those who had not yet experienced treatment failure based on the definition of the composite outcome.
DISCUSSION
This study aimed to evaluate the clinical outcomes of immunocompromised patients receiving ERV therapy, offering insights into its efficacy and tolerability in this vulnerable population. The main takeaway is that timely initiation of ERV (within 72 h of index culture collection) in immunocompromised patients with bacterial infections significantly reduced clinical treatment failure and microbial recurrence compared to delayed initiation. This finding was consistent in unadjusted and IPTW-adjusted analyses and underscores the critical importance of prompt antimicrobial therapy in improving clinical outcomes for this vulnerable patient population.
Immunocompromised patients are at an increased risk of severe bacterial infections (18–20). This vulnerability extends beyond those with hematologic malignancies and neutropenia to include patients with SOTs, BMTs, chronic corticosteroid use, HIV/AIDS with CD4 <200 cells/mm3, splenectomy, and other forms of immunosuppression such as recent cytotoxic chemotherapy or the presence of multiple immunocompromising conditions (5–7). These diverse underlying states contribute to impaired host defenses, increasing the risk of both initial infection and poor clinical outcomes. Notably, in our cohort, a significant proportion of patients had more than one immunocompromising condition, further compounding their susceptibility to complications from MDR bacterial infections.
Historically, gram-positive bacteria have been the predominant pathogens in immunocompromised patients; however, recent data indicate a shift, with ggram-negative bacteria re-emerging as frequent pathogens (12, 13). Many of these pathogens have developed resistance to commonly used antimicrobial agents, highlighting the urgent need for novel therapeutic options. Higher antibiotic utilization in this population contributes to increased rates of antibiotic resistance and a heightened risk of Clostridioides difficile infections, further complicating their clinical management and adding to the healthcare burden, including increased hospitalization costs (21).
ERV, with its broad-spectrum activity against MDR organisms like VRE and CRE (14, 22, 23), offers a potential solution in this high-risk group. However, its use in immunocompromised patients has been largely empirical, due to delays in incorporating ERV into automated susceptibility panels across institutions during much of the study period. As such, many patients in this cohort received ERV prior to organism identification or susceptibility confirmation. Among those with documented pathogens, recurrence was due to the same organism identified in the index culture. Unfortunately, repeat susceptibility testing was inconsistently performed, limiting our ability to evaluate resistance development at the time of recurrence. This gap highlights the need for more robust microbiologic follow-up in future studies.
It is important to note that ERV and other novel agents are rarely tested in high-risk populations, such as immunocompromised patients. RCT data are often limited for these patients because of their heightened susceptibility to adverse events and the complexity of their medical conditions, which can complicate trial enrollment and protocol adherence (24–26). Although prospective and randomized trials are necessary to establish the efficacy and safety of ERV definitively, retrospective health outcomes studies are essential in the interim to provide valuable insights into the potential effectiveness of ERV in real-world settings for this population. While this study offers preliminary evidence of the potential of ERV, further rigorous retrospective and prospective research is needed to confirm these findings and determine the optimal therapeutic applications of ERV in immunocompromised patients.
The current study does have implications for clinical practice, particularly in settings where timely initiation of effective antimicrobial therapy is critical. While ERV shows promise as an option for empirical therapy in high-risk neutropenic febrile patients, intra-abdominal infections in non-neutropenic immunocomromised individuals, and as step-down therapy for resistant infections, further research is necessary to support its widespread use. In our study, ERV was used as monotherapy for most patients; however, combination therapy may have been employed during the initial 48 h in certain cases. Potential reasons include concern for incomplete pathogen coverage prior to susceptibility results, clinical instability at the time of ERV initiation, polymicrobial infections involving organisms not reliably covered by ERV (e.g., Pseudomonas aeruginosa), and general caution due to limited real-world experience with ERV monotherapy in immunocompromised populations. Although we did not collect specific documentation on the rationale for combination therapy, these considerations reflect common clinical decision-making and underscore the need for further data to guide optimal use of ERV in this setting. The long half-life and pharmacokinetics of ERV suggest it could also be suitable for outpatient therapy, particularly as a step-down treatment for clinically stable patients (27, 28).
This research has study design limitations. The retrospective nature introduces potential biases, such as selection bias and information bias, which can affect the validity of the results. The study’s multicenter approach, while enhancing generalizability, may also introduce variability in treatment practices. The relatively small sample size may limit the statistical power and applicability to all immunocompromised subpopulations. For example, while a greater proportion of patients in the timely ERV group received monotherapy compared to those in the late group (as shown in Table 1), we did not collect detailed site-level data to assess the rationale behind monotherapy versus combination therapy decisions. This limits our ability to draw conclusions about the clinical factors driving treatment selection. Additionally, not all potential confounding factors were accounted for, despite using IPTW. Finally, the observational design precludes establishing a causal relationship between timely ERV initiation and improved outcomes. Future prospective studies are warranted to confirm these findings and further explore the benefits of prompt ERV therapy in larger and more diverse cohorts of immunocompromised patients. These studies should aim to standardize treatment protocols and control for additional confounding factors to provide more robust evidence.
In conclusion, while timely initiation of ERV appears to be a promising strategy for reducing clinical treatment failure and microbial recurrence in immunocompromised patients with bacterial infections, additional prospective research is needed to validate these findings and optimize treatment protocols for this high-risk group. Integrating ERV into clinical practice could improve patient outcomes and offer a critical tool in managing MDR bacterial infections, ultimately addressing a significant clinical and financial burden in healthcare systems.
ACKNOWLEDGMENTS
All named authors meet the International Committee of Medical Journal Editors (ICMJE) criteria for authorship for this article, take responsibility for the integrity of the work, and have given their approval for this version to be published. All authors have provided writing and editing assistance.
This study was funded by an investigator-initiated grant from Tetraphase Pharmaceuticals, Inc.
We thank Susan Davis for her assistance with this research.
Contributor Information
Michael J. Rybak, Email: m.rybak@wayne.edu.
Krisztina M. Papp-Wallace, JMI Laboratories, North Liberty, Iowa, USA
REFERENCES
- 1. Parmanik A, Das S, Kar B, Bose A, Dwivedi GR, Pandey MM. 2022. Current treatment strategies against multidrug-resistant bacteria: a review. Curr Microbiol 79:388. doi: 10.1007/s00284-022-03061-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Mancuso G, Midiri A, Gerace E, Biondo C. 2021. Bacterial antibiotic resistance: the most critical pathogens. Pathogens 10:1310. doi: 10.3390/pathogens10101310 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Miethke M, Pieroni M, Weber T, Brönstrup M, Hammann P, Halby L, Arimondo PB, Glaser P, Aigle B, Bode HB, et al. 2021. Towards the sustainable discovery and development of new antibiotics. Nat Rev Chem 5:726–749. doi: 10.1038/s41570-021-00313-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Gaibani P, Giani T, Bovo F, Lombardo D, Amadesi S, Lazzarotto T, Coppi M, Rossolini GM, Ambretti S. 2022. Resistance to ceftazidime/avibactam, meropenem/vaborbactam and imipenem/relebactam in Gram-negative MDR Bacilli: molecular mechanisms and susceptibility testing. Antibiotics (Basel) 11:628. doi: 10.3390/antibiotics11050628 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Jolles S, Smith BD, Vinh DC, Mallick R, Espinoza G, DeKoven M, Divino V. 2022. Risk factors for severe infections in secondary immunodeficiency: a retrospective US administrative claims study in patients with hematological malignancies. Leuk Lymphoma 63:64–73. doi: 10.1080/10428194.2021.1992761 [DOI] [PubMed] [Google Scholar]
- 6. Melliez H, Mary-Krause M, Guiguet M, Carrieri P, Abgrall S, Enel P, Gallien S, Duval X, Duvivier C, Pavie J, Siguier M, Freire-Maresca A, Tattevin P, Costagliola D. 2020. Risk of severe bacterial infection in people living human immunodeficiency virus infection in the combined antiretroviral therapy Era. J Infect Dis 222:765–776. doi: 10.1093/infdis/jiaa154 [DOI] [PubMed] [Google Scholar]
- 7. Aguilar C, Malphettes M, Donadieu J, Chandesris O, Coignard-Biehler H, Catherinot E, Pellier I, Stephan J-L, Le Moing V, Barlogis V, Suarez F, Gerart S, Lanternier F, Jaccard A, Consigny P-H, Moulin F, Launay O, Lecuit M, Hermine O, Oksenhendler E, Picard C, Blanche S, Fischer A, Mahlaoui N, Lortholary O. 2014. Prevention of infections during primary immunodeficiency. Clin Infect Dis 59:1462–1470. doi: 10.1093/cid/ciu646 [DOI] [PubMed] [Google Scholar]
- 8. Ruiz R, Kirk AD. 2015. Long-term toxicity of immunosuppressive therapy. Transplant Liver:1354–1363. doi: 10.1016/B978-1-4557-0268-8.00097-X [DOI] [Google Scholar]
- 9. Roberts MB, Fishman JA. 2021. Immunosuppressive agents and infectious risk in transplantation: managing the “net state of immunosuppression”. Clin Infect Dis 73:e1302–e1317. doi: 10.1093/cid/ciaa1189 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Feng X, Jiang E, Feng S. 2023. Is short-course antibiotic therapy suitable for Pseudomonas aeruginosa bloodstream infections in onco-hematology patients with febrile neutropenia? Results of a multi-institutional analysis. Blood 142:5919–5919. doi: 10.1182/blood-2023-188177 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Wisplinghoff H, Seifert H, Wenzel RP, Edmond MB. 2003. Current trends in the epidemiology of nosocomial bloodstream infections in patients with hematological malignancies and solid neoplasms in hospitals in the United States. Clin Infect Dis 36:1103–1110. doi: 10.1086/374339 [DOI] [PubMed] [Google Scholar]
- 12. Nesher L, Rolston KVI. 2014. The current spectrum of infection in cancer patients with chemotherapy related neutropenia. Infection 42:5–13. doi: 10.1007/s15010-013-0525-9 [DOI] [PubMed] [Google Scholar]
- 13. Zimmer AJ, Stohs E, Meza J, Arnold C, Baddley JW, Chandrasekar P, El Boghdadly Z, Gomez CA, Maziarz EK, Montoya JG, Pergam S, Rolston KV, Satlin MJ, Satyanarayana G, Shoham S, Strasfeld L, Taplitz R, Walsh TJ, Young J-AH, Zhang Y, Freifeld AG. 2022. Bloodstream infections in hematologic malignancy patients with fever and neutropenia: are empirical antibiotic therapies in the United States still effective? Open Forum Infect Dis 9:ofac240. doi: 10.1093/ofid/ofac240 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Rolston K, Gerges B, Nesher L, Shelburne SA, Prince R, Raad I. 2023. In vitro activity of eravacycline and comparator agents against bacterial pathogens isolated from patients with cancer. JAC Antimicrob Resist 5:dlad020. doi: 10.1093/jacamr/dlad020 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Rahul R, Maheswary D, Damodaran N, Leela KV. 2023. Eravacycline -synergistic activity with other antimicrobials in carbapenem resistant isolates of Escherichia coli and Acinetobacter baumannii. Diagn Microbiol Infect Dis 107:116006. doi: 10.1016/j.diagmicrobio.2023.116006 [DOI] [PubMed] [Google Scholar]
- 16. Kanj SS, Bassetti M, Kiratisin P, Rodrigues C, Villegas MV, Yu Y, van Duin D. 2022. Clinical data from studies involving novel antibiotics to treat multidrug-resistant Gram-negative bacterial infections. Int J Antimicrob Agents 60:106633. doi: 10.1016/j.ijantimicag.2022.106633 [DOI] [PubMed] [Google Scholar]
- 17. Austin PC, Stuart EA. 2015. Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies. Stat Med 34:3661–3679. doi: 10.1002/sim.6607 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Kalil AC, Opal SM. 2015. Sepsis in the severely immunocompromised patient. Curr Infect Dis Rep 17:487. doi: 10.1007/s11908-015-0487-4 [DOI] [PubMed] [Google Scholar]
- 19. Poutsiaka DD, Davidson LE, Kahn KL, Bates DW, Snydman DR, Hibberd PL. 2009. Risk factors for death after sepsis in patients immunosuppressed before the onset of sepsis. Scand J Infect Dis 41:469–479. doi: 10.1080/00365540902962756 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. McCreery RJ, Florescu DF, Kalil AC. 2020. Sepsis in immunocompromised patients without human immunodeficiency virus. J Infect Dis 222:S156–S165. doi: 10.1093/infdis/jiaa320 [DOI] [PubMed] [Google Scholar]
- 21. Tillotson GS, Zinner SH. 2017. Burden of antimicrobial resistance in an era of decreasing susceptibility. Expert Rev Anti Infect Ther 15:663–676. doi: 10.1080/14787210.2017.1337508 [DOI] [PubMed] [Google Scholar]
- 22. Sutcliffe JA, O’Brien W, Fyfe C, Grossman TH. 2013. Antibacterial activity of eravacycline (TP-434), a novel fluorocycline, against hospital and community pathogens. Antimicrob Agents Chemother 57:5548–5558. doi: 10.1128/AAC.01288-13 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Alosaimy S, Morrisette T, Lagnf AM, Rojas LM, King MA, Pullinger BM, Hobbs ALV, Perkins NB 3rd, Veve MP, Bouchard J, Gore T, Jones B, Truong J, Andrade J, Huang G, Cosimi R, Kang-Birken SL, Molina KC, Biagi M, Pierce M, Scipione MR, Zhao JJ, Davis SL, Rybak MJ. 2022. Clinical outcomes of eravacycline in patients treated predominately for carbapenem-resistant Acinetobacter baumannii. Microbiol Spectr 10:e0047922. doi: 10.1128/spectrum.00479-22 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Trøseid M, Hentzien M, Ader F, Cardoso SW, Arribas JR, Molina J-M, Mueller N, Hites M, Bonnet F, Manuel O, Costagliola D, Grinsztejn B, Olsen IC, Yazdapanah Y, Calmy A, EU RESPONSE, COMBINE . 2022. Immunocompromised patients have been neglected in COVID-19 trials: a call for action. Clin Microbiol Infect 28:1182–1183. doi: 10.1016/j.cmi.2022.05.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Boeckh M, Pergam SA, Limaye AP, Englund J, Corey L, Hill JA. 2024. How Immunocompromised Hosts Were Left Behind in the quest to control the COVID-19 pandemic. Clin Infect Dis 79:1018–1023. doi: 10.1093/cid/ciae308 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Siempos II, Kalil AC, Belhadi D, Veiga VC, Cavalcanti AB, Branch-Elliman W, Papoutsi E, Gkirgkiris K, Xixi NA, Kotanidou A, Hermine O, Porcher R, Mariette X, CORIMUNO-19 Collaborative Group, DisCoVeRy Study Group, ACTT-2 Study Group, ACTT-3 Study Group . 2024. Immunomodulators for immunocompromised patients hospitalized for COVID-19: a meta-analysis of randomized controlled trials. EClinicalMedicine 69:102472. doi: 10.1016/j.eclinm.2024.102472 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. McCarthy MW. 2019. Clinical pharmacokinetics and pharmacodynamics of eravacycline. Clin Pharmacokinet 58:1149–1153. doi: 10.1007/s40262-019-00767-z [DOI] [PubMed] [Google Scholar]
- 28. Thabit AK, Hobbs ALV, Guzman OE, Shea KM. 2019. The pharmacodynamics of prolonged infusion β-lactams for the treatment of Pseudomonas aeruginosa Infections: a systematic review. Clin Ther 41:2397–2415. doi: 10.1016/j.clinthera.2019.09.010 [DOI] [PubMed] [Google Scholar]


