Cinética de procalcitonina en infecciones causadas por bacterias multirresistentes

Multidrug-resistant (MDR) bacteria are selected when the patient takes antibiotics in such a way that antibioticsensitive bacteria are overgrown by resistant clones ¹. The longer the exposure to antibiotics the higher the pressure to select for antibiotic resistance ^2-4. Nowadays, the clinical threat comes mainly from species such as Escherichia coli and the group known as the ESKAPE organisms (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter spp, Pseudomonas spp, Enterobacter spp), which are found harmlessly in us, on us, or in our environment ^{4, 5}.
Up to 30-50% of the antibiotics administered to hospitalized patients may be unnecessary ^{5, 6}, and the courses of treatment usually exceed the recommended duration ⁷.
This is particularly critic in intensive care units (ICU) where broad-spectrum antibiotic schemes are empirically administered and, in most cases, it is not possible to de-escalate the therapy because the pathogen remains unidentified in 40 to 60% of septic patients ^{8, 9}.
Therefore, it is interesting to analyse the new approaches to reduce exposure through a selective starting of antibiotics and shortening the duration of treatments ^{10, 4}.
In this sense, biomarkers are being investigated to facilitate the diagnosis of infection, to initiate early antimicrobial treatment, and to help in decision-making regarding its termination, to avoid unnecessarily long antibiotic therapies.
Procalcitonin (PCT) is the blood analyte most studied as a biomarker of bacterial infection as well as for monitoring and ending antibiotic therapy ¹¹. Multiple randomized clinical trials (RCTs) have evaluated the usefulness of PCT to guide the initiation and completion of antibiotic therapy. The results of these studies show that PCT guidance stimulates a reduction in treatment duration and daily defined doses of antibiotics in critically ill patients with presumed bacterial infections, stopping prescribed antibiotics if procalcitonin concentration had decreased by 80% or more of its peak value, or when it reached a value of 0.5 μg/l or lower. However, the large RCTs that evaluated PTC-guided completion of antibiotic courses included mostly patients with community infections. This is evidenced by the low rate of MDR infections included.
For example, MDR infections represented only 17% of the cases in the PRORATA trial and they were not analyzed separately. In fact, most large RCTs were not planned to evaluate infections by MDR bacteria ^12-15.
Patients with MDR infections might not respond in a conventional way to antibiotic treatments and we do not know if those protocols can be applied to them. Therefore, our aim was to investigate PCT kinetics and the time necessary for a decrease to less than 80% of the peak value or below 0.5 μg/l in patients with MDR infections compared to values observed in patients infected with sensitive bacteria (SB). Because ventilation associated pneumonia (VAP) and catheter-related bloodstream infections (CRBSI) are the infections with the highest incidence of MDR infections (30%-50%) ¹⁶, we studied the kinetics of PCT exclusively in these population groups, in order to obtain similar numbers of MDR and SB infection episodes ^{17, 18}.

Materials and methods

A retrospective observational study was carried out in a 38-bed surgical and medical ICU of our high complexity hospital. All patients with bacterial isolates of VAP and CRBSI during the period from 11/1/16 to 7/1/19 were analyzed. Patients who presented daily measurements of PCT with values higher than 0.5 μg/l secondary to VAP or CRBSI were selected. Measurements were followed until their decrease to values ≤ 0.5 μg/l or lower than 80% of the maximum value. Only the first isolate of VAP or CRBSI was analyzed per patient.
Patients were excluded in the following events: an infectious intercurrence during the antibiotic course, death before the expected decrease in PCT levels, chronic infections due to undrained abscesses, endocarditis, tuberculosis or meningitis, and patients already with antibiotics considered effective for the bacteria isolated at the time of bacteriological sampling.
The MDR bacteria evaluated were those considered as a priority by the World Health Organization ¹⁹: Carbapenemresistant Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacteriaceae, vancomycin-resistant Enterococcus faecium, and methicillin-resistant Staphylococcus sp.
The serum PCT levels were measured by the VIDAS BRAHMS PCT assay using the bioMérieux VIDAS analyzer (coefficient of variation 3.8%). PCT plasma concentrations were expressed in μg/l, and they ranged from 0.05 μg/l to 200 μg/l. PCT values were evaluated at the time of bacteriological isolation and on consecutive days until the PCT value fell below 0.5 μg/l or decreased 80% of the maximum value reached. The antibiotic schemes started empirically, and the schemes indicated once the specific bacterium was detected, were registered.
The presence of acute renal failure was evaluated with the Acute Kidney Injury Network (AKIN) classification ²⁰, the urinary output, and the serum creatinine concentrations were assessed in the peak of PCT. Creatinine concentrations were compared with baseline concentrations; the baseline creatinine was considered the value before admission (if it had been determined less than 3 months before) or the first value after hospital admission. Creatinine concentrations were measured using the compensated kinetic Jaffé method (coefficient of variation: 3.4%).
The Charlson and SOFA scores were evaluated in the ICU admission, the days of permanence in ICU and hospital were also registered.
Statistical analyses were performed with the program “STATA 13”. The distribution of numerical results was calculated using the Kolmogorov-Smirnoff normality test. Normally distributed data were presented as mean ± standard deviation (SD) and the comparisons between two groups were carried out with the two-sample t-test. Data following a non normal distribution were presented as median and interquartile range (IQR) and comparisons between groups were made with Mann-Whitney U test. Differences between proportions were evaluated using chi-squared test. A p <0.05 (2-tailed tests) was considered significant.

Results

During the study period, bacterial isolates obtained from 103 patients were associated to VAP or CRBSI in ICU.
A total of 71 patients did not meet inclusion criteria (Figure 1). Finally, 16 patients with SB and 16 patients with MDR bacterial infections were selected for the analysis.
Patients with SB isolates had a mean age of 54 (SD ± 20) years and those with MDR isolates 45 (SD ± 16) years. Charlson median was 2 (IQR 1-4.5) in patients with SB infection and 1 (IQR 1-4) in patients with MDR infection.
Three patients with CRBSI were administered ineffective antibiotics for 48 hours: (a) in one patient initially treated with meropenem and colistin, ertapenem and tigecycline were added upon isolation of carbapenemresistant K. pneumoniae; (b) the second patient was empirically treated with vancomycin but upon isolation of vancomycin-resistant E. faecium the treatment was switched to linezolid; (c) the third patient was empirically treated with ceftriaxone and the antibiotic was changed to vancomycin upon isolation of methicillin-resistant S. epidermidis. These 6 treatment days represented 6% of the total days of antibiotics received by patients with MDR infections. The characteristics of the population are described in Table 1.
In patients with CRBSI secondary to SB, the species most frequently isolated was K. pneumoniae. In patients with MDR CRBSI, the germs most frequently isolated were carbapenemase-producing Enterobacteriaceae. In VAP generated by SB, the most frequent species was S. aureus whereas in VAP generated by MDR bacteria, the predominant germ was carbapenemase-producing P. aeruginosa (Table 2).
The maximum values of PCT in patients with CRBSI were significantly higher in MDR than in SB infections (mean ± SD 39 ± 30 μg/l vs. 10.7 ± 11, p = 0.02), Figure 2A. In VAP, patients with MDR infections had a mean ± SD PCT value of 3.2 ± 2 μg/l and patients with SB infections a mean ± SD PCT value of 5.0 ± 6 μg/l with no significant difference. The average time ± SD elapsed from the first sampling to the maximum PCT value was 24 ± 9 hours in MDR infections and 26±11 hours in SB infections. This difference was not statistically significant (Fig. 2).
The time elapsed from the detection of the bacteria to a decrease > 80% of the maximum PCT value or less than 0.5 μg/l was 7.2 ± 2.9 days in MDR vs. 5 ± 1.8 days in SB (p = 0.03) (Figure 2B). This analysis was carried out only with patients who received effective antibiotic therapy including both infections, VAP and CRBSI. As for the three patients who had initially received an ineffective antibiotic scheme, the analysis was started when an effective scheme was initiated. In both groups, the mean duration of antibiotic therapy was 13 ± 4.3 days, significantly longer than the 7.2 ± 2.9 days required for the decrease in PCT (p < 0.001). Changes in the decreasing tendency were not observed in 9 patients with SB infection and 7 patients with MDR infections who had acute kidney injury (Table 1).

The PCT decrease had an exponential trend line in both groups, responding to the following formula:
PCTt = PCT0 e–k t
PCTt: value of PCT at any time “t” (measured in days);
PCT0: value at the initial moment; k: time constant of the exponential; t: time measured in days.
The time constant k represents the velocity of PCT reduction. With higher k values, PCT will decline faster.
The k value for PCT was significantly lower in infections (VAP plus CRBSI) produced by MDR bacteria than in those produced by SB (mean ± SD 0.38 ± 0.15 1/days vs. 0.58 ± 0.2 1/days, p = 0.04), as shown in Figure 2C.

Discussion

Serum PCT levels were found to increase markedly between 6 to 12 hours after the onset of the inflammatory stimulus in sepsis, systemic infection, and severe inflammation²¹.
Also, elevated levels of PCT are correlated with the severity of the condition in humans and experimental animals ²².
We found that patients with CRBSI generated by MDR germs showed significantly higher PCT values than CRBSI generated by SB, reflecting a greater inflammatory response in MDR infections. This could be attributed to a greater virulence of MDR germs. Virulence and resistance are adaptive mechanisms in response to stressors such as host defence mechanisms and antibiotic pressure.
Plasmids are possibly the main vehicles for the transmission of genetic elements that encode virulence and resistance factors ²³. This has been clearly described, for example, for plasmid pRSB107, located in certain E. coli strains, which expresses resistance to at least ten different antimicrobials and at the same time encodes four virulence factors ²⁴. Carrying simultaneously plasmids that codify determinants of resistance and virulence enables the bacteria under antibiotic pressure to select the virulent ones and under conditions of infection, to select those resistant to antimicrobials ²⁵.

In VAP, PCT values were similarly low in both groups, what agrees with the results of the meta-analysis by Hoeber et al., which associates bacteraemia with significantly higher values of PCT ²⁶. However, we cannot reach any conclusions regarding this point because of the low number of VAP specimens.
We observed that PCT values decreased exponentially in both groups. In patients with SB infections, the decreasing constant of PCT was significantly higher than in MDR infections (a mean of 5 days in SB against 7.2 days in MDR). This might be ascribed to two causes. First, a higher virulence could trigger a more intense and prolonged inflammatory response in MDR infections. Second, the effective antibiotic treatment could be not as efficient against MDR organisms as are first-line antibiotics against sensitive bacteria. For example, carbapenems-resistant Enterobacteriaceae with MIC at meropenem ≥8-16 mcg/ml present a lower response to combined therapies with carbapenems compared to microorganisms with lower MIC levels ^{27, 28}.
Additionally, the PCT decline occurred before the completion of antibiotic treatments in both MDR and SB infections (the mean duration of antibiotic therapy was 13 days in both groups). The time course of PCT provides information on the resolution of severe bacterial infections ¹⁴.
We observed in our study that the duration of the antibiotic treatment may be reduced by PCT-guided protocols, even in infections caused by MDR bacteria. However, this was just a retrospective observational study and further studies are necessary to determine the safety of PCT-guided protocols in MDR infections.
The main limitation of our study is the low size of the sample. Indeed, 69% of the patients did not meet the inclusion criteria. Our primary objective was a descriptive study of PCT kinetics, therefore we only included patients with complete PCT curves.
In sum, we found that the inflammatory response measured by PCT was stronger and more prolonged in MDR bacteraemia, which may be ascribed to a higher virulence of MDR bacteria. However, even in MDR infections, the decline of PCT levels occurred well before completion of antibiotic courses. Therefore, it is necessary to study the potential application of antibiotic protocols guided by PCT in MDR infections to reduce the antibiotics exposure in this population.

Conflicts of interest: None to declare

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