Biomarker-guided antibiotic therapy in adult critically ill patients: a critical review
© Póvoa and Salluh; licensee Springer. 2012
Received: 21 April 2012
Accepted: 18 June 2012
Published: 23 July 2012
Biomarkers of infection, namely C-reactive protein and procalcitonin (PCT), are potentially useful in the diagnosis of infection as well as in the assessment of its response to antibiotic therapy. C-reactive protein variations overtime appears to have a good performance for the diagnosis of infection. Procalcitonin shows a better correlation with clinical severity. In addition, to overcome the worldwide problem of antibiotic overuse as well as misuse, biomarker guidance of antibiotic stewardship represents a promising new approach. In several randomized, controlled trials, including adult critically ill patients, PCT guidance was repeatedly associated with a decrease in the duration of antibiotic therapy. However, these trials present several limitations, namely high rate of patients’ exclusion, high rate of algorithm overruling, long duration of antibiotic therapy in the control group, disregard the effect of renal failure on PCT level, and above all a possible higher mortality and higher late organ failure in the PCT arm. In addition, some infections (e.g., endocarditis) as well as frequent nosocomial bacteria (e.g., Pseudomonas aeruginosa) are not suitable to be assessed by PCT algorithms. Therefore, the true value of PCT-guided algorithm of antibiotic stewardship in assisting the clinical decision-making process at the bedside remains uncertain. Future studies should take into account the issues identified in the present review.
KeywordsAntibiotic stewardship Biomarkers C-reactive protein Infection Procalcitonin Sepsis
During the past three decades, the incidence of sepsis has been consistently rising, surpassing that of cardiac failure and has an annual mortality rate above acute myocardial infarction [1, 2]. A recent report from the Healthcare Cost and Utilization Project found that hospital costs increased almost 25 % (inflation-adjusted) from 2001 to 2007 . Among the top ten conditions with the most rapidly increasing hospital costs, three were infections, with “blood infection (septicemia)” showing the largest growth in cumulative costs (174.1 %) and the highest aggregate costs (12.3 billion USD in 2007).
Consequently sepsis is a major public health issue that can affect all population, including healthy people, although there is a predominance in elderly patients with multiple or severe comorbidities. However, during the past 15 years, several reports showed a sustained and continuous improvement in mortality of severe sepsis and septic shock, although it remains exceedingly high, ranging between 30-50 % [4–6]. Yet, this improvement in outcome cannot be attributed to the introduction of a new drug or treatment but to an improvement of the process-of-care with more rapid diagnosis and treatment [6, 7]. Even though a delay in the institution of antibiotic therapy is markedly associated with a worse prognosis, antibiotic overuse should be avoided and interventions to reduce the duration of antibiotic therapy were associated with lower mortality and length of stay as well as a decrease in the prevalence of multidrug-resistant microorganisms [8, 9].
With the goal of shortening the duration of antibiotic therapy, the efficacy of procalcitonin (PCT)-guided antibiotic stewardship algorithms have been tested in different clinical settings . As a result, the discussion of the available strategies to decrease the duration of antibiotic therapy, with and without biomarkers, in particular in the critical care setting, seems timely and relevant.
Can biomarkers be used to guide antibiotic therapy in severe sepsis?
1 Easy to use and interpret
3 Rapidly available
5 Good sensitivity and good specificity
6 Dynamic – rapid increases and decreases
7 Level not dependent of the underlying pathology and not modified by any treatment or intervention unless interventions related to the source control and/or antibiotic therapy
8 Continuous and not a discrete variable
9 Correlation with clinical severity and mortality
10 Prolonged and successive infections without “exhaustion” or “fatigue”
12 Easily available
Do we need biomarkers to guide/reduce antibiotic therapy in severe sepsis, namely in VAP?
Two landmark studies were published that evaluated the impact of shorter duration of antibiotic therapy in ventilator-associated pneumonia (VAP) [15, 16]. The PneumA trial  was a prospective, randomized, controlled trial (RCT) in 51 French intensive care units (ICU) designed to assess whether 8 days was as effective as 15 days of adequate antibiotic therapy in microbiologically documented late-onset VAP (N = 402). The authors showed that an 8-day course of antibiotics was as effective as a 15-day treatment (all-cause mortality: 18.8 % vs. 17.2 %).
The second study was a single-center, prospective RCT designed to evaluate the effectiveness and safety of a discontinuation policy on the duration of antibiotic therapy of VAP (N = 290) . The authors showed that an active discontinuation policy could safely decrease the duration of antibiotic therapy to 6 days (p = 0.001). Both groups presented similar hospital mortality and ICU and hospital length of stay (LOS) (p = 0.357, p = 0.798, p = 0.865, respectively). These findings suggest that shorter courses of antibiotic therapy, 6–8 days, in VAP can be safely achieved without the use of biomarkers.
C-reactive protein and procalcitonin biology
Among all biomarkers of infection those more frequently studied are C-reactive protein (CRP) and PCT . Before using these biomarkers in clinical practice, it is essential to know its biology, strengths, and limitations.
Plasma CRP, like all other acute phase proteins, is exclusively synthesized in the liver in response to interleukin 6 [17, 18]. Four to 6 hours after an inflammatory insult, CRP secretion begins. Its concentration doubles every 8 hours and peaks at 36–50 hours [19–21]. With the elimination or removal of the primary inflammatory stimulus, CRP falls rapidly with a first-order kinetics pattern of elimination with a half-life of 19 hours . C-reactive protein concentration rises whenever an inflammatory process is present and its serum concentration depends only on the intensity of the stimulus and on the rate of synthesis [19, 21, 22]. C-reactive protein level is independent of the underlying disease and is not modified by any therapy or intervention such as renal replacement therapy (RRT) , systemic steroids , or neutropenia .
The pathophysiological role of PCT in sepsis is not fully understood . After an inflammatory stimulus, PCT is detectable as soon as 3-4 hours, peaking at 14-24 hours [26–29]. After removal of the inflammatory stimulus, PCT half-life ranged from 22-35 hours . There are several well-recognized limitations to the use of PCT as a surrogate marker of infection. It has been shown that in septic cancer patients with leukopenia PCT concentrations were lower . Besides renal function is a major determinant of PCT levels [10, 31, 32], and in addition, PCT is markedly cleared by different techniques of RRT [23, 33].
Assays to measure C-reactive protein and procalcitonin
The characteristics of the assays used to measure the marker are a fundamental aspect when dealing with biomarkers . The available immunoassays of CRP measurement are reliable, stable, and highly reproducible . Besides they are inexpensive (approximately 4€ in Europe), rapid (15–30 minutes), and with a limit of detection of 0.3-5 mg/L . This limit of detection of CRP is acceptable to its utilization as a biomarker in diagnosis and in monitoring response to antibiotics .
To be useful at the bedside, the PCT assay should have a high sensitivity . Only the immunoassay, based on a time-resolved amplified cryptate emission (TRACE) technology (Kryptor PCT assay, Brahms), has a reasonable limit of detection: 0.06 ng/mL . The assay time is rapid (19 min) but still quite expensive (25-30€ in Europe) . All the other less sensitive assays, namely the semiquantitative immunochromatographic method (PCT-Q, Brahms) and the luminescence immunoassay (PCT LIA, Brahms), should be used with caution and never for antibiotic stewardship [10, 38, 39].
What is the PCT algorithm for stewardship of antibiotic therapy?
For patients in the ICU, the algorithm for antibiotic stewardship was similar but with somewhat higher PCT cutoff ranges . Likewise, if antibiotics were withheld the algorithm recommends a clinical reevaluation and subsequent PCT measurement after 6-24 hours. In the case of antibiotic therapy, PCT should be monitored daily. Antibiotics should be discontinued when PCT decreases >80 % of the initial level or if an absolute PCT value <0.5 ng/mL is reached. Again, if PCT levels remain elevated, treatment failure, potential infectious complications or superinfection should be considered .
Studies of PCT-guided algorithms of antibiotic stewardship in adult critically ill patients
Characteristics of selected RCT
Principal characteristics of the randomized controlled trials assessing the role of PCT-guided antibiotic stewardship in adult critically ill patients
Rate of exclusion (%)
Minimum duration AB therapy
Decision to start antibiotics (no AB), PCT/control
Duration of antibiotic therapy, PCT/control, days
Overruling PCT algorithm (%)
LOS ICU, PCT/control, days
Superinfection, PCT/control, N(%)
Relapse, PCT/control, N(%)
Mortality 28d, PCT/control, N(%)
Mortality 60d, PCT/control, N(%)
Svoboda, 2007 
16.1 ± 6.9/19.4 ± 8.9
10/38 (26 %)/13/34 (38 %)
Nobre, 2008 
8 (4–27)/14 (6–39)
4 (1–21)/7 (1–91)
7/31 (22.5 %)/11/37 (29.7 %)
1/39 (2.6 %)/1/40 (2.5 %)
8/39 (20.5 %)/8/40 (20 %)
Schroeder, 2009 
6.6 ± 1.1/8.3 ± 0.7
16.4 ± 8.3/16.7 ± 5.6
3/14 (21.4 %)/3/13 (23.1 %)
Stolz, 2009 
10 (6–16)/15 (10–23)
13 (7–21)/13.5 (8–22.2)
7/51 (13.7 %)/6/50 (12 %)
8/51 (16 %)/12/50 (24 %)
Hochreiter, 2009 
5.9 ± 1.7/7.9 ± 0.5
15.5 ± 12.5/17.7 ± 10.1
15/57 (26.3 %)/14/53 (26.4 %)
Bouadma, 2010 
4 (1.7 %)/15 (4.8 %)
10.3 ± 7.7/13.3 ± 7.6
15.9 ± 16.1/14.4 ± 14.1
106/307 (34.5 %)/97/314 (30.9 %)
20/307 (6.5 %)/16/314 (5.1 %)
65/307 (21.2 %)/64/314 (20.4 %)
92/307 (30 %)/82/314 (26.1 %)
Jensen, 2011 
6 (3–11)/4 (3–10)
6 (3–12)/5 (3–11)
190/604 (31.5 %)/191/596 (32 %)
231/604 (38.2 %)/220/596 (36.9 %)
Reasons for exclusion of screened patients from the studies
The clinical impact of an intervention is somehow dependent on its applicability. In the seven selected RCT, the rate of exclusion ranges from 0.3 %  to 84 % . However, with the exception of the larger RCT that presented the lower exclusion rate , in all the others the rates of exclusion were exceedingly high, 84 % , 72 % , 78 % , 38 % , 72 % , and 52 % .
It also is necessary to examine the criteria for exclusion. In three studies the description was very poor [43, 44, 46]. In the other RCT, it is clear that common ICU infections are excluded [41, 42, 45], namely caused by Pseudomonas aeruginosa Acinetobacter baumannii, as well as frequent clinical situations, namely endocarditis or infections that require long-course antibiotics and immunosuppressed patients.
PCT measurement methodology
The quality of the studies also is largely dependent of the methodology used to measure PCT plasma concentrations. One RCT used a semiquantitative immunochromatographic method , and two the less sensitive luminescence immunoassay [44, 46], which are currently not recommended for antibiotic stewardship . The ultrasensitive methodology was used in the remaining four trials [41, 42, 45, 47].
PCT-guided algorithms of antibiotic stewardship
Each of the RCT describes a specific PCT-guided algorithm of antibiotic stewardship; however, as a whole, the main frame was quite similar to that previously described. In four RCT, the algorithm was designed to assist in the decision to stop antibiotics [41, 44–46], in two to assist in the decision to start and to stop antibiotics [42, 43], and finally to start or escalate antibiotics . In two studies, the PCT guidance also impacted the management of patients because concomitant interventions were performed [43, 47].
The standard of care
In the seven RCT, the control group was managed according to the standard of care. This is vague, because there is substantial difference between usual care, the standard of care, and the best care . According to the above-mentioned VAP studies, the course of antibiotics could be safely reduced to 6–8 days [8, 15, 16].
Therefore, it would be important to know whether patients in the control group have a minimum duration of antibiotic therapy. This was the case in three RCT [42, 44, 45]. In one study, the antibiotic duration was calculated according to the underlying infectious pathology . In other trial, dealing only with VAP, the minimum duration of antibiotic therapy in the control group was 15 days . Finally, in the last trial, the recommendations were for community-acquired pneumonia 7–10 days with a longer duration, 14 days, if pneumonia was caused by Legionella pneumophila Mycoplasma pneumoniae, or Chlamydia pneumoniae, and for VAP 8–15 days .
This raises two issues. First, several years after the publication of RCTs showing that 6–8 days of antibiotic therapy in VAP is safe [15, 16], it may not be acceptable to have control groups treated for so long. Second, the attending physician was not allowed to use the clinical and laboratory course of the patient as a stopping rule.
Impact of PCT-guided algorithm in the decision to start antibiotics
In two trials, the PCT-guided algorithm was designed to assist in the decision to start antibiotics [42, 43]. In one study, all patients received antibiotics at inclusion; however, the criteria to start were not very clear and in addition the use semiquantitative method of PCT measurement precluded further comment . In the PRORATA trial at inclusion, paradoxically more patients (N = 15) in the control group did not receive antibiotics, because the attending physician considered the patient not infected, than in the PCT-guided group (N = 4) .
Impact of PCT-guided algorithm in the decision to stop antibiotics
In five RCT, the PCT-guided algorithm was designed to assist in the decision to stop antibiotics [41, 42, 44–46]. All were able to decrease the duration of antibiotic therapy in ICU patients as well as the antibiotic-free days, 28 days after inclusion.
The duration, in days, of antibiotic therapy of the first episode of infection was shorter in the PCT-guided arm in all studies, 6 (3–34) vs. 9.5 (2–33) (p = 0.15) , 6.6 ± 1.1 vs. 8.3 ± 0.7 (p < 0.001) , 3 (0–8) vs. 5 (1–9.5) (p = not shown) , 5.9 ± 1.7 vs. 7.9 ± 0.5 (p < 0.001)  and 6.1 ± 6.0 vs. 9.9 ± 7.1 (p < 0.0001) . Similarly, the total duration, in days, of antibiotic therapy was shorter in the PCT-guided group.
Impact of PCT-guided algorithm in the decision to start and/or escalate antibiotics
Recently, the largest, multicenter trial to assess a PCT-guided algorithm was published: the PASS trial . Its design was based on the finding of the so-called “alert PCT” . It consists of PCT > 1.0 ng/mL or not decreasing <10 %/d to indentify infected patients at risk of complications or treatment failure. In this observational study, the presence of an “alert PCT” was significantly associated with 90-day all-cause mortality . The interventions in the “alert PCT” days consisted on cultures, radiology, and empiric antibiotic therapy (prescription or broaden spectrum antibiotic according to an algorithm) with the goal to reduce mortality.
The use of large-spectrum antibiotics was substantially increased in the PCT arm with a shorter time to start (p < 0.0001) and a longer exposure (p < 0.001) . However, the time until appropriate antibiotic therapy was similar between groups with the exception of bloodstream infections, shorter in the PCT-guided group . Total duration of antibiotic therapy was longer in the PCT-guided arm: (median) 6 [range, 3-11] vs. 4 days [range, 3-10] (p < 0.05).
Compliance with PCT-guided algorithm
In addition to the extent of excluded patients, the degree of algorithm overruling is an indirect measure of its clinical applicability as well as of its true impact in the clinical decision making process. In the PRORATA trial , at inclusion 89 patients had a PCT <0.5 μg/L and according to the algorithm antibiotics were “discouraged” or “strongly discouraged.” However, in 73 % of patients (n = 65) the attending physician overruled this recommendation, because they considered the patient “infected” despite a low PCT level. This represents a 21 % of algorithm overruling at inclusion (65/307).
In three RCT that assessed the impact of PCT-guided algorithm in the decision to stop antibiotics, it was possible to assess the rate of overruling [41, 42, 45]. In two studies, the rate of overruling of stopping rules were 19 % (6/31)  and 16 % (8/51) . In both cases, the attending physician prolonged antibiotic therapy despite a low PCT level. In the PRORATA trial , the reasons for overruling were: n = 39 patients, antibiotics were stopped despite a PCT > 0.5 μg/L, because infection was considered clinically cured; n = 79 patients, antibiotic therapy was prolonged despite a PCT < 0.5 μg/L, because patients were clinically unstable. Overall, the rate of PCT-guided algorithm was 53 % .
Finally, in the PASS trial , 56 of 312 (17.9 %) patients with baseline “alert PCT" did not receive antimicrobials. Unfortunately, none of the studies assessed specifically the outcomes of the patients with algorithm overruling.
Length of ICU stay and organ failure
All studies provided data concerning the LOS (in days) in the ICU that was very similar in the PCT and control groups: 16.1 ± 6.9 vs. 19.4 ± 8.9 , 4 (1–21) vs. 7 (1–91) , 16.4 ± 8.3 vs. 16.7 ± 5.6 , 13 (7–21) vs. 13.5 (8–22.2) , 15.5 ± 12.5 vs. 17.7 ± 10.1 , 15.9 ± 16.1 vs. 14.4 ± 14.1 , and 6 [3–12] vs. 5 [3–11] .
An objective assessment of organ failures is provided in only two trials [42, 47]. Baseline organ failures were similar in both groups. However, in the PRORATA trial, the SOFA score was higher in the PCT group at day 28 (p = 0.037) . In the PASS study, the number of days on mechanical ventilation was significantly higher in the PCT-guided group: 3,569 days (65.5 %) vs. 2,861 days (60.7 %; p < 0 .001) .
Rates of superinfections and relapses
Three studies provide the rate of superinfections. One was lower in PCT-guided arm: 7/31 (22.5 %) vs. 11/37 (29.7 %) . The other two were higher in the PCT group: 7/51 (13.7 %) vs. 6/50 (12 %)  and 106/307 (34.5 %) vs. 97/314 (30.9 %) .
Two studies provided data on the rates of infection relapse that were similar in one study: 1/39 (2.6 %) vs. 1/40 (2.5 %) ; the second was slightly higher in the PCT arm: 20/307 (6.5 %) vs. 16/314 (5.1 %) .
Finally, two studies monitored the emergence of multidrug resistance bacteria with very different overall rates. In the PRORATA study , the rate of multidrug resistance bacteria in the PCT arm was 17.9 % vs. 16.6 % (p = 0.67), whereas the PASS was significantly higher in the control group: 2.4 % vs. 3.1 % (p = 0.01) .
All studies provided 28-day all-cause mortality rates that were comparable. A closer look showed that in four trials, the 28-day mortality was very similar: 8/39) (20.5 %) vs. 8/40 (20 %) ; 3/14 (21.4 %) vs. 3/13 (23.1 %) ; 15/57 (26.3 %) vs. 14/53 (26.4 %) ; 65/307 (21.2 %) vs. 64/314 (20.4 %) (p = NS) ; and 190/604 (31.5 %) vs. 191/596 (32 %) . In two trials, the mortality in the control group was higher, although not significantly: 10/38 (26 %) vs. 13/34 (38 %) (p = 0.28)  and 8/51 (16 %) vs. 12/50 (24 %) (p = 0.327) .
In the two larger studies, the PRORATA  and the PASS , the 60-day mortality also was provided. In the PRORATA, the 60-day mortality was 3.8 % higher in the PCT-guided group, which represents a 10 % increase in the relative risk of death. However, both the design and the power cannot exclude a negative impact on mortality attributable to the PCT strategy . In the PASS study, the 60-day mortality was similar: 38.2 % vs. 36.9 %.
It is well known that a prolonged duration of antibiotic therapy is associated with increased costs. Conversely, the measurement of PCT also is very expensive. The analysis of the cost-benefit of the implementation of a PCT algorithm was not performed in any of the selected studies.
Biomarkers of infection, namely CRP and PCT, are potentially very useful in the diagnosis of infection as well as in the assessment of its response to antibiotic therapy. Presently, no RCTs of CRP-guided therapy in critically ill patients have been performed. Regarding PCT, in several RCTs, PCT guidance was repeatedly associated with a decrease in the duration of antibiotic therapy. However, these trials present several limitations, namely high rate of patients’ exclusion, high rate of algorithm overruling, long duration of antibiotic therapy in the control group, disregard the effect of renal failure or use of RRT on PCT levels, and above all a possible higher mortality and late organ failure in the PCT arm. In addition, some infections as well as frequent nosocomial bacteria were not evaluated. As a result, in critically ill patients, we cannot recommend the routine use of PCT-guided algorithms of antibiotic stewardship to assist the clinical decision-making process at the bedside. However, biomarkers, namely PCT and CRP but also platelet count, d-dimer, and prothrombin time, could be very useful at the bedside but should never be used solely. Biomarkers should always be used in conjunction with a complete clinical, laboratory, and radiologic evaluation and with a perfect knowledge of its biology, strengths, and limitations. Future studies in this area of knowledge are needed, but their design should take into account the issues identified in the present review to define clearly the role of biomarkers at the beside.
PP is coordinator of the Polyvalent Intensive Care Unit, São Francisco Xavier Hospital, and Professor of Medicine, Faculty of Medical Sciences, New University of Lisbon, Lisbon, Portugal. JIFS is medical researcher from the D’Or Institute for Research and Education, and coordinator of the Postgraduation Program, Instituto Nacional de Câncer, Rio de Janeiro, Brazil.
Intensive care unit
Length of stay
Randomized controlled trial
Renal replacement therapy
Ventilator associated pneumonia.
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