Hospital Setting, Study Design, and Participants
This study was conducted from January 2010 to June 2019 at the Hospital del Mar, a tertiary-care university hospital in Barcelona (Spain), within the framework of an antimicrobial stewardship (AMS) program.
All consecutive positive urinary cultures for XDR P. aeruginosa during the study period were retrospectively reviewed. XDR P. aeruginosa was defined as non-susceptible to one or more agent in all but no more than two antipseudomonal antimicrobial categories, according to Magiorakos et al. [18].
The inclusion criteria were patients aged at least 18 years old, diagnosed with acute pyelonephritis or complicated UTI and with a monomicrobial urine culture positive for XDR P. aeruginosa. Non-complicated UTIs and asymptomatic bacteriuria were excluded. All episodes were retrospectively reviewed by two authors (I.L.M. and S.G.-Z.). Patients treated with aminoglycosides or colistin in the form of CMS monotherapy were compared to those treated with other antibiotic regimens including carbapenems, aztreonam, ceftazidime, cefepime, ceftolozane-tazobactam, or ceftazidime-avibactam, alone or in combination (including also combinations with aminoglycosides or CMS). Dose selection was at the discretion of the responsible clinicians and was adjusted according to glomerular filtration rate (GFR).
Patients were followed for up to 90 days from the date of the urine culture. In cases of more than one episode of P. aeruginosa UTI, the second and following episodes were assessed if they occurred at least 90 days after the prior one. Patients who died within the first 48 h or did not complete follow-up were not included in the analysis.
Ethics
The study was approved by the Clinical Research Ethics Committee of the Parc de Salut Mar (register no. 2020/9321). The need for written informed consent was waived because of the observational nature of the study and retrospective analysis. The study was conducted in accordance with the International Conference on Harmonization Good Clinical Practice Guideline and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
Clinical Variables, Data Source, and Definitions
The main outcome variable was clinical failure assessed early (day 7) and at end of treatment (EOT). Secondary outcomes were crude 30- and 90-day mortality; recurrence, reinfection, microbiological clearance, and readmission rates within 90 days. The incidence of acute kidney injury (AKI), C. difficile infection, rash, hematological toxicity, hepatotoxicity, and neurological symptoms were also evaluated as secondary outcomes to study antibiotic-related side effects.
Demographic, clinical, and microbiological data were collected from hospital medical charts. Recorded data included the following: age and sex; comorbidities and severity of underlying diseases, assessed using the Charlson comorbidity index [19], and immunosuppression state, defined as neutropenia (absolute neutrophil count of 500 cells/mm3 or less), chemotherapy or other immunosuppressant drugs, HIV infection, and/or congenital immunosuppression. Prior history of benign prostatic hypertrophy, urologic malignancy, obstructive nephropathy, recurrent UTI, and urological devices in the last 14 days were also recorded.
Severity of illness was calculated using the Sequential Organ Failure Assessment (SOFA) score [20], the need for intense care unit (ICU) admission, and the presence of septic shock [21]. The Pitt score [22] was applied in the case of bacteremia.
Acute pyelonephritis was considered if the patient had at least two of the following criteria: temperature above 37.7 °C, UTI symptoms (dysuria, urgency, suprapubic pain, and/or pollakiuria), local pain (lumbar back pain, costovertebral angle tenderness, and/or pelvic or perineal pain in men), and/or altered mental status in people up to 70 years. Those with the same criteria and a prior history of benign prostatic hyperplasia, intermittent or permanent indwelling urinary catheter (or withdrawal within 48–72 h before infection onset), or underlying urologic abnormalities such us nephrolithiasis, strictures, stents, history of renal transplant or urinary diversions or neurogenic bladder were classified as complicated UTI. The site of infection acquisition was defined according to Friedman et al. [23].
Appropriate empiric antibiotic therapy was considered when at least one antipseudomonal antibiotic with in vitro activity was administered during the first 24 h after urine cultures were taken. Appropriate definite antibiotic therapy was treatment based on the results of antibiotic susceptibility testing. Combination therapy was defined as two or more antipseudomonal drugs used for at least 48 h.
Adequate source control was defined as removal or insertion of indwelling urinary catheters, percutaneous drainage of the urinary tract (double-J stent, nephrostomy), or surgical intervention, as appropriate.
Clinical failure was considered if there was persistence or worsening signs and/or symptoms of UTI, the need to modify antibiotic therapy because of antibiotic side effects, the emergence of resistance to the study drug, and/or death.
Recurrence was defined as recurrent signs or symptoms of UTI and a urinary isolate of XDR P. aeruginosa with the same susceptibility profile as the index infection. Reinfection was defined as recurrent signs or symptoms of UTI with isolation of a P. aeruginosa strain with a different phenotypic profile from the prior one and/or a urinary isolate different from P. aeruginosa. Microbiological clearance was considered if there was no growth of P. aeruginosa in the final urine culture, if available. Episodes with missing urine samples during follow-up were classified as indeterminate. All microbiological assessments referred to up to 90 days following onset of the index UTI.
Antibiotic side effects (i.e., nephrotoxicity, C. difficile infection, rash) were also recorded. GFR, calculated using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI), was registered at baseline and at EOT. In case of AKI, the RIFLE score [24] was applied.
Microbiological Studies
Bacterial isolates were identified as P. aeruginosa following standard procedures. Antibiotic susceptibility testing of isolates was performed by broth microdilution using MicroScan® panels [Beckman-Coulter] in the automated MicroScan® WalkAway system [Beckman-Coulter]. The following antimicrobials were tested: ciprofloxacin, piperacillin-tazobactam, ceftazidime, cefepime, imipenem, meropenem, aztreonam, gentamicin, tobramycin, amikacin, and colistin. Ceftolozane-tazobactam was not in routine use for a large part of the study; it was tested by Etest® gradient diffusion (bioMérieux, Marcy-l'Etoile, France) from 2017 onwards. Antibiotic susceptibility testing results were categorized according to the European Committee on Antimicrobial Susceptibility Testing (EUCAST) criteria [25] in force at the time of urine culture.
Statistical Analysis
The required sample size (100 patients) was determined from the results of a previous study [26] to detect a 20% difference in early clinical failure between an aminoglycoside-based or colistin group vs. “other regimens” group for infections caused by drug-resistant P. aeruginosa; statistical power was set at 80%, alpha error at 0.05, and 0.2 estimated losses to follow-up.
Categorical variables were compared by the χ2 test or Fisher exact test and continuous variables by Student’s t test or Mann–Whitney U test, as appropriate. A logistic regression model examined associations between exposures and clinical failure and microbiological clearance whereas Cox proportional hazards regression was applied to assess mortality until day 30 and 90. Variables with a p value of at most 0.1 in univariate analysis and those clinically relevant were included in the multivariate models and selected manually using backward stepwise regression.
A propensity score for receiving monotherapy with aminoglycosides or colistin was calculated. Variables used for calculating propensity score were age, sex, Charlson comorbidity index, hematologic malignancy, positive blood cultures, SOFA score, and presentation with sepsis/septic shock. Its predictive ability was estimated by calculating the area under the receiver operating characteristic curve (AUC) with 95% confidence interval (CI). The variance inflation factor value was calculated for every variable included to control for the potential occurrence of collinearity between the propensity score and other potential confounders. We selected the best model according to the likelihood ratio test. The final model showed a p value of 0.71 for the Hosmer–Lemeshow goodness-of-fit test and an AUC of 0.8 (95% CI 0.71–0.88). The propensity score was used in two different ways, as a covariate of control for residual confounding in multivariate models, and to perform a matched cohort analysis in which patients receiving amikacin or CSM were matched 1:1 according to their propensity score with those receiving other antibiotic regimens. The caliper was set to a width equal to 0.2 of the standard deviation of the logit of the propensity score [27]. Clinical failure in the matched pairs was compared by conditional logistic regression whereas Cox regression was used to compared mortality. Sensitivity analyses for all the studied outcomes were performed excluding patients receiving amikacin or CMS as part of a combination therapy from the control group. All p values were two-tailed and those less than 0.05 indicated statistical significance. The STROBE recommendations were used to ensure the reporting of the study (Supplementary Material). Statistical analyses were performed using STATA 15.1.