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Therapeutic drug monitoring-guided continuous infusion of piperacillin/tazobactam significantly improves pharmacokinetic target attainment in critically ill patients: a retrospective analysis of four years of clinical experience

  • Daniel C. RichterEmail author
  • Otto Frey
  • Anka Röhr
  • Jason A. Roberts
  • Andreas Köberer
  • Thomas Fuchs
  • Nikolaos Papadimas
  • Monika Heinzel-Gutenbrunner
  • Thorsten Brenner
  • Christoph Lichtenstern
  • Markus A. Weigand
  • Alexander BrinkmannEmail author
Open Access
Original Paper

Abstract

Purpose

Standard dosing and intermittent bolus application (IB) are important risk factors for pharmacokinetic (PK) target non-attainment during empirical treatment with β-lactams in critically ill patients, particularly in those with sepsis and septic shock. We assessed the effect of therapeutic drug monitoring-guided (TDM), continuous infusion (CI) and individual dosing of piperacillin/tazobactam (PIP) on PK-target attainment in critically ill patients.

Methods

This is a retrospective, single-center analysis of a database including 484 patients [933 serum concentrations (SC)] with severe infections, sepsis and septic shock who received TDM-guided CI of PIP in the intensive care unit (ICU) of an academic teaching hospital. The PK-target was defined as a PIP SC between 33 and 64 mg/L [fT > 2–4 times the epidemiological cutoff value (ECOFF) of Pseudomonas aeruginosa (PSA)].

Results

PK-target attainment with standard dosing (initial dose) was observed in 166 patients (34.3%), whereas only 49 patients (10.1%) demonstrated target non-attainment. The minimum PK-target of ≥ 33 mg/L was overall realized in 89.9% (n = 435/484) of patients after the first PIP dose including 146 patients (30.2%) with potentially harmful SCs ≥ 100 mg/L. Subsequent TDM-guided dose adjustments significantly enhanced PK-target attainment to 280 patients (62.4%) and significantly reduced the fraction of potentially overdosed (≥ 100 mg/L) patients to 4.5% (n = 20/449). Renal replacement therapy (RRT) resulted in a relevant reduction of PIP clearance (CLPIP): no RRT CLPIP 6.8/6.3 L/h (median/IQR) [SCs n = 752, patients n = 405], continuous veno-venous hemodialysis (CVVHD) CLPIP 4.3/2.6 L/h [SCs n = 160, n = 71 patients], intermittent hemodialysis (iHD) CLPIP 2.6/2.3 L/h [SCs n = 21, n = 8 patients]). A body mass index (BMI) of > 40 kg/m2 significantly increased CLPIP 9.6/7.7 L/h [SC n = 43, n = 18 patients] in these patients. Age was significantly associated with supratherapeutic PIP concentrations (p < 0.0005), whereas high CrCL led to non-target attainment (p < 0.0005). Patients with target attainment (33–64 mg/L) within the first 24 h exhibited the lowest hospital mortality rates (13.9% [n = 23/166], p < 0.005). Those with target non-attainment demonstrated higher mortality rates (≤ 32 mg/L; 20.8% [n = 10/49] ≥ 64 mg/L; 29.4% [n = 79/269]).

Conclusion

TDM-guided CI of PIP is safe in critically ill patients and improves PK-target attainment. Exposure to defined PK-targets impacts patient mortality while lower and higher than intended SCs may influence the outcome of critically ill patients. Renal function and renal replacement therapy are main determinants of PK-target attainment. These results are only valid for CI of PIP and not for prolonged or intermittent bolus administration of PIP.

Keywords

Continuous infusion β-lactams PK/PD Customized drug dosing Critical illness Sepsis 

Introduction

Background

Early effective antibiotic treatment is a fundamental mainstay in sepsis therapy and should be initiated as soon as possible [1, 2] to reduce patient mortality [2, 3, 4]. β-lactams like PIP are frequently used antibiotics for empiric treatment of severe infections in the ICU [5]. Attaining defined pharmacokinetic targets within the first 24–48 h of treatment repeatedly crystallized as an important predictor of treatment success in sepsis [6, 7, 8]. Consistently, intermittent bolus applications (IB) of standard doses are recognized as a main contributor for target non-attainment and potentially unfavorable patient outcome [9, 10]. Given their hydrophilic properties, β-lactams and PIP especially are prone to rapid changes in renal function and volume of distribution both of which frequently occur in patients with sepsis and septic shock [11]. Zander et al. [12] found only recently infrequent target attainment during IB application of PIP, especially in patients with a high CrCL. CI infusion represents a reasonable approach of customized drug dosing in the ICU as to extend the time that the unbound fraction of PIP remains above the pathogen-specific minimum inhibitory concentration (MIC) (fT>MIC) [6, 7, 13, 14] up to 100% of the dosing interval [10, 12, 15]. Several studies demonstrated positive effects (clinical cure and survival rates) of CI compared to IB in the context of sepsis [16, 17, 18, 19, 20, 21, 22]. As evidence increases, the demand for dose optimization and TDM-guided individual dosing strategies grows [12, 23, 24]

Objectives

We analyzed a PK database of 484 patients with overall 933 SCs covering a period of 4 years of CI of β-lactams in an ICU. We primarily assessed PIP target attainment within the first 24 h of treatment and further investigated the effect of subsequent TDM-guided dose adjustments on PK-target attainment to support existing data regarding the safety of CI of β-lactams. Secondly, the influence of renal function, renal replacement therapy and obesity on PIP-PK was analyzed. Moreover, ICU- and hospital mortality data were evaluated in relation to PIP SCs.

Methods

Study setting and population

We retrospectively analyzed TDM-data of 484 patients (≥ 16 years) admitted to an interdisciplinary German ICU of an academic teaching hospital between December 2008 and October 2012. Patients were admitted for treatment of severe infections, (severe) sepsis or septic shock. RRT was not an exclusion criterion. The study was approved by the ethics commission of the University of Ulm, Germany (Proposal number 351/14; 12/2014).

Sampling and bioanalysis

Patients received TDM-guided CI of PIP according to the following standardized protocol that derived from years of clinical experience and the routine use of PK simulations. An initial piperacillin/tazobactam bolus [2.25 g fixed (according to PK simulation data), 30-min infusion] was followed by immediate CI of piperacillin/tazobactam. The initial CI doses were determined according to the patients’ renal function. The total amount of PIP within the first 24 h was 12 g [4 g;2–16 g] for all patients and never exceeded 16 g within the first 24 h of treatment. In the presence of septic shock, PIP was supplemented with ciprofloxacin. Initial TDM (referred to as day1) was performed under steady-state conditions (> 4 halftimes; minimum > 12 h after treatment initiation). PIP doses were subsequently adapted according to the results of PIP TDMs with PIP SCs of 33–64 mg/L being the primary PK-target (fT>2–4 ECOFF PSA). TDM-guided dose adjustments and consecutive TDMs were advised and supervised by clinical pharmacists. Adjustment to microbiological data and resistance testing was performed as soon as information was made available. PIP concentrations were measured using high-performance liquid chromatography (HPLC), as published before [25]. TDM-data were available and reported 2–4 h after the blood sample arrived in the laboratory (blood sample: 6–8 a.m., TDM-data reporting: 10–12 a.m.). The interpretation as well as dose adjustment recommendations were supervised by trained clinical pharmacists.

Definitions

Although using the combination of piperacillin and tazobactam (PIP/TAZ), HPLC detection was restricted to the total PIP fraction which is why we use the abbreviation PIP in the present manuscript. The difference between measured (total) and unbound fractions seems of interest only in the highly protein bound β-lactams [26]. The ECOFF of PIP for PSA is 16 mg/L. Hence, we assumed a PK-target of > 2–4 times the ECOFF of PSA (fT>2–4 ECOFF PSA = 33–64 mg/L) as a rational compromise between effective bacterial killing and possibly harmful SCs. PIP concentrations of 65–99 mg/L were defined as moderately high. The definitions of sepsis/severe sepsis and septic shock were based on the meanwhile revised SEPSIS-2 definition [27]. Patients were assigned to distinct BMI groups (≤ 25, 25–30, > 30, ≥ 40 kg/m2) to analyze effects on PIP-PK. Creatinine clearance (CrCL; mL/min) was calculated using the Cockcroft–Gault formula [28]. The PIP clearance (CLPIP; L/h) was derived using the following equation:
$${\text{CL}}_{\text{PIP}} [ {\text{L}}\;{\text{h}}^{ - 1} ]\; = \frac{{{\text{dose}}\left[ {\text{mg}} \right]}}{{24{\text{h}} }} \cdot c\left( {\text{PIP}} \right)^{ - 1} \;[{\text{mg}}\;{\text{L}}^{ - 1} ]$$
with c(PIP) being the measured PIP SC. In the absence of a universal definition, a CrCL of ≥ 130 mL/min was defined as an augmented renal clearance (ARC) [29]. Five different PIP SC groups (< 16, 16–32, 33–64, 65–99 and ≥ 100 mg/L) were formed to depict SC distribution and to investigate the effects of PIP on outcome parameters.

Statistical analysis

PK-, TDM- and patient data were processed anonymously and included into a Microsoft Excel database (Microsoft Corp., Version 15.41). Statistical analysis was performed with IBM SPSS (IBM Corporation, Armonk, New York, Version 25). Descriptive statistics were reported as median (interquartile range (IQR); [range]), numbers and relative frequencies, or as means ± standard deviations (SDs). Figures are given as box (median, IQR) and whisker (90th and 10th percentile) plots. Pearson correlation coefficients were used to elucidate correlations between clinical and PK-related parameters. We used logistic regression analysis, variance analysis (ANOVA) and post hoc ANOVA where indicated to evaluate the effects of PK-target attainment. Kruskal–Wallis test, Pearson Chi square test and Fisher’s t test were performed to evaluate statistical significance. Significance was considered with p ≤ 0.05.

Results

Baseline epidemiological data and clinical characteristics

Between December 2008 and October 2012, 484 patients (933 TDMs) were eligible for analysis (baseline characteristics given in Table 1). The 933 TDM measurements were mainly distributed over the first 6 days of treatment (day 1: n = 484; day 2: n = 86; day 3: n = 129; day 4: n = 80; day 5: n = 58; ≥ day 6: n = 96). The median PIP dose administered within the first 24 h of treatment was 12 g for all SC groups (< 16 mg/L: 12 g; 16–32 mg/L: 12 g (4 g;[2–16 g]); 33–64 mg/L: 12 g (4 g;[4–16 g]); > 64 mg/L: 12 g (4 g;[4–12 g]). 38.6% of patients (n = 187/484) presented with sepsis or severe sepsis and 38.1% (n = 184/484) with septic shock (Table 2). The primary sites of infection included lung/pneumonia (n = 256/484; 53%) and abdomen/peritonitis (n = 114/484; 23.6%). Of the 16.3% (n = 79/484) of patients receiving RRT, continuous veno-venous hemodialysis (CVVHD, citrate anticoagulation) was predominantly applied (n = 71/79; 89.9%) (Table 2). Augmented renal clearance was detected in only 8.5% of patients (n = 41/484). Overall mortality rates were 19.2% (n = 93/484) in the ICU and 23.2% (n = 112/484) in hospital (Table 2).
Table 1

Patient characteristics

N (%)

Male

301 (62.2)

ARC

41 (8.5)

Mean (SD)

Age (years)

73 (17)

Height (cm)

170 (12)

Weight (kg)

73 (17)

Median (IQR)

BMI (kg/m2)

26.1 (6.0)

Creatinine (mg/dL)

1.22 (1.26)

CrCL (mL/min)

46.3 (47.9)

Antimicrobial treatment (days)

6.0 (3.0)

Steady-state PIP serum concentration (mg/L)

57.0 (44.0)

PIP dose per 24 h (g)

8.0 (4.0)

Values given in absolute numbers (N) and relative incidence (%), median and interquartile range (IQR) or mean and standard deviation of the mean (SD), respectively

ARC augmented renal clearance, creatinine clearance > 130 mL/min, BMI body mass index, CrCL creatinine clearance, PIP Piperacillin-Tazobactam

Table 2

Baseline clinical data

Diagnosis

N (%)

Sepsis/severe sepsis

187 (38.6)

Septic shock

184 (38.1)

Severe infection

113 (23.3)

Focus/site of infection

Lung/pneumonia

256 (53)

Peritonitis

114 (23.6)

Urosepsis

38 (7.7)

SSTI

17 (3.5)

Empyema

18 (3.7)

BSI

13 (2.7)

Other

28 (5.6)

Renal replacement therapy

Overall

79 (16.3)

CVVHD

71 (89.9)

iHD

8 (10.1)

Mechanical ventilation

Overall

317 (65.5)

 

Median (IQR)

Duration

169 (377)

Mortality

 
 

N (%)

ICU

93 (19.3)

Hospital

112 (23.2)

Values given in absolute numbers (N) and relative incidence (%) or as median and interquartile range (IQR)

SSTI skin and soft tissue infection, BSI bloodstream infection, CVVHD continuous veno-venous hemodialysis, iHD intermittent hemodialysis, ICU intensive care unit

Primary objectives

PK-target attainment within 24 h after treatment initiation

The minimum PK-target of ≥ 33 mg/L was realized in 89.9% (n = 435/484) of patients within 24 h of treatment whereas 34.3% (n = 166/484) exactly met the designated PIP target range of 33–64 mg/L and 55.6% (n = 269/484) exceeded the upper target of 64 mg/L. Of these potentially overdosed patients, 25.4% (n = 123/484) exhibited moderately high PIP SCs (65–99 mg/L). However, 30.2% (n = 146/484) of patients showed considerably high PIP SCs of ≥ 100 mg/L that may increase the possibility of neuro- and/or nephrotoxicity with sustained exposure. Only 10.1% (n = 49/484) of all patients showed low PIP SCs (< 16 mg/L, 0.2% [n = 1/484], and 16-32 mg/L, 9.9% [n = 48/484]) after the initial dose (Fig. 1).
Fig. 1

Distribution of PIP serum concentrations within the first 24 h of treatment. Median PIP serum concentrations by group (median [IQR; range]): 16–32 mg/L (red): 29.0 mg/L [6.5 mg/L; 16–32 mg/L]. 33–64 mg/L (green): 49.0 mg/L [16.0 mg/L; 33–64 mg/L]. 65–99 mg/L (orange): 80 mg/L [16.0 mg/L; 65–99 mg/L]. > 100 mg/L (violet): 128 mg/L [41.0 mg/L; 100–300 mg/L]. Values given as absolute numbers (N) and relative incidence (%) or median (M), interquartile range (IQR) and range (minimum to maximum value). Statistical analysis was assessed using cross tables and Chi2 test. Significance level 5% (p < 0.05). IM intensive care unit mortality, HM hospital mortality, IQR interquartile range

Effects of TDM-guided dose adjustment measures

Beyond the first 24 h, 449 TDMs were performed to adjust PK-target attainment through customized PIP dosing. While the number of patients in the low PIP SC group did not considerably change (< 16 & 16–32 mg/L: 15.8%, n = 71/449), TDM-based dose adjustments profoundly increased the fraction of patients with PK-target attainment to 62% (n = 280/449) with median PIP SCs of 46 mg/L (16 mg/L; [33–64 mg/L]), Table 3). Moreover, TDM-guided individual dosing reduced the fraction of patients with moderately elevated PIP SCs (≥ 64 ≤ 100 mg/L) by 32% to 17.4% ([n = 78/449], Table 3) and led to a major reduction of patients with potentially toxic concentrations (≥ 100 mg/L) by 85–4.5% (n = 20/449, Table 3). Overall, TDM effectively enhanced target attainment while reducing potential toxic PIP SCs at the same time.
Table 3

Effect of TDM-guided dose adjustment measures on PK-target attainment

     

Subgroup > 64 mg/L

PIP SC (mg/L)

 

< 16

16–32

33–64

> 64

65–99

≥ 100

24 h, % (N)

n = 484

0.2 (1)

9.9 (48)

34.3 (166)

55.6 (269)

25.4 (123)

30.2 (146)

TDM-guided,  % (N)

n = 449

1.1 (5)

14.7 (66)

62.4 (280)

21.8 (98)

17.4 (78)

4.5 (20)

Comparison of PK-target attainment within the first 24 h (n = 484) of treatment and after TDM-guided customized PIP dosing in the course of treatment (n = 449 TDMs)

Values given in absolute numbers (N) and relative incidence (%)

PIP SC Piperacillin serum concentration, TDM therapeutic drug monitoring, PK pharmacokinetics

Secondary objectives: effects of renal function and RRT on PIP-PK

With a coefficient of r = 0.57, overall correlation of CrCL and CLPIP was good and comparable to existing literature [30, 31, 32]. However, Fig. 2 clearly shows increasing variation of CLPIP with CrCL values of above 80-100 mL/min. This finding demonstrates the difficulty of predicting drug clearance of PIP as a sole function of CrCL in critically ill patients, particularly in those with sepsis and septic shock. Binary logistic regression further revealed high CrCL to significantly increase the odds for insufficiently low PIP SCs within the investigated study cohort (< 16 mg/L: p < 0.0005; OR 1.022 95% CI [1.011–1.034] and 16–32 mg/L: p < 0.0005; OR 1.017 95% CI [1.013–1.022]). These data highlight the role of renal function on drug clearance. Particularly, increased renal function can be presumed as a main risk factor for target non-attainment.
Fig. 2

Association of CrCL and CLPIP. Correlation of renal function (CrCL) and CLPIP in the analyzed cohort of ICU patients. Values given as absolute numbers. Correlation was assessed by calculating a Pearson correlation coefficient. CrCL creatinine clearance, CLPIP piperacillin clearance

Regardless of the technique used, RRT in general was accompanied by a marked, however not significant, reduction of CLPIP (Fig. 3a). Although the median PIP dose did not profoundly change (CVVHD: 8 g (2 g;[3–12 g]) vs iHD: 4 g (4 g;[2–12 g]) compared to patients without RRT (8 g (4 g;[3–20 g]), evaluation of the respective boxplots showed a clear tendency to lower doses and less pronounced variations during RRT (Fig. 3b). Interestingly, although CLPIP during RRT and PIP doses applied was lower during RRT, PIP SCs in this group were strikingly higher compared to non-RRT patients. CVVHD was associated with an 46.3% increase (98.0 mg/L (63 mg/L;[21–244 mg/L]) and iHD appeared to account for an elevation of PIP SCs by 51.7% (129.5 mg/L (76.5 mg/L;[75–240 mg/L]).
Fig. 3

Effects of RRT. A: Influence of RRT (89.9% CVVHD, 10.1% iHD) on CLPIP compared to the group of patients without RRT. CLPIP by RRT mode (median [IQR; range]): CVVHD (magenta): 4.3 L/h [2.6 L/h; 1.4–17.2 L/h]. iHD (violet): 2.6 L/h [2.3 L/h; 1.2–6.2 L/h]. no RRT (blue): 6.8 L/h [6.3 L/h; 1.3–35.5 L/h]. B: PIP doses administered to to patients with RRT (magenta&violet) compared to the non-RRT group (blue). Values given as absolute numbers (N) and relative incidence (%) or median (M), interquartile range (IQR) and range (minimum to maximum value), respectively. RRT renal replacement therapy, CVVHD conitnuous veno-venous hemodialysis, iHD intermittent hemodialysis, CLPIP piperacillin clearance

Effect of BMI on PIP-PK

In our study cohort, the group of morbidly obese (patients ≥ 40 kg/m2, n = 18/484 [3.7%], SC n = 43/933 [4.6%]) patients showed a significantly higher CLPIP (9.6 L/h (7.7 L/h;[1.4–27.8 L/h]); p < 0.0001) compared to all other BMI groups (Fig. 4). As increased renal blood flow is discussed to contribute to elevated CLPIP in obese patients [33], we assessed and compared CrCL in the different BMI groups. Interestingly, morbidly obese patients did not show significantly higher values for CrCL as compared to other BMI groups (Fig. 5). Our data do not support that an increase in renal clearance accounts for elevated CLPIP in morbidly obese patients.
Fig. 4

Distribution of CLPIP according to different BMI groups. CLPIP by BMI group (median [IQR; range]): ≤ 25 kg/m2 (green): 5.6 L/h [5.1 L/h; 1.2–26.3 L/h]. ≤ 30 kg/m2 (yellow): 6.9 L/h [5.3 L/h; 1.4–26.3 L/h]. > 30 kg/m2 (red): 6.9 L/h [8.5 L/h; 1.8–35.5 L/h]. ≥ 40 kg/m2 (dark red): 9.6 L/h [7.7 L/h; 1.4–27.8 L/h]. Values given as absolute numbers (N) and relative incidence (%) or median (M), interquartile range (IQR) and range (minimum to maximum value), respectively. Statistical analysis was performed using analysis of variance & post hoc analysis with Bonferroni/Dunn correction. Significance level 5% (p < 0.05). PIP piperacillin, CLPIP PIP clearance, BMI body mass index, IQR interquartile range

Fig. 5

Distribution of CrCL according to BMI. CrCL by BMI group (median [IQR; range]): ≤ 25 kg/m2 (green): 55.8 mL/min [54.5 mL/min; 9.0–277.9 mL/min]. ≤ 30 kg/m2 (yellow): 39.3 mL/min [43.2 mL/min; 4.3–179.5 mL/min]. > 30 kg/m2 (red): 42.8 mL/min [41.7 mL/min; 7.6–141.8 mL/min]. ≥ 40 kg/m2 (dark red): 60.1 mL/min [49.8 mL/min; 2.5–107.0 mL/min]. Values given as absolute numbers (N) and relative incidence (%) or median (M), interquartile range (IQR) and range (minimum to maximum value), respectively. Statistical analysis was performed by analysis of variance & post hoc analysis with Bonferroni/Dunn-correction. Significance level 5% (p < 0.05). CrCL creatinine clearance, CLPIP piperacillin clearance

Effect of target attainment on ICU- and hospital mortality (Fig. 1, Table 4)

ICU mortality (12.0% [33–64 mg/L] vs. 14.6 [16–32 mg/L], 16.3 [65–99 mg/L] and 31.5% [≥ 100 mg/L]; p = 0.009) and hospital mortality (13.9% [33–64 mg/L] vs. 20.8 [16–32 mg/L], 20.5 [65–99 mg/L] and 37.6% [≥ 100 mg/L]; p = 0.005) were significantly lower in patients with exposure to the defined PK-target concentration of 33–64 mg/L within the first 24 h (Fig. 1). Exposure to PIP concentrations ≥ 100 mg/L resulted in significantly higher mortality (ICU mortality: 31.9%, n = 45/484, p = 0.005; hospital mortality: 37.6%, n = 53/484, p = 0.001) compared to the PK-target group and patients with moderately high (65-99 mg/L) PIP SCs. Moreover, we separately analyzed the mortality in the subgroup of patients with exposure to SCs between 100-160 (n = 40/115) and > 160 mg/L (n = 15/31). Both subgroups showed strikingly high ICU (30.4% and 35.5%) and hospital mortality rates (34.8% and 48.4%). In the group of patients with SC > 160 mg/L, we observed the highest median (IQR) PIP dose 12000 (4000) mg, the highest SC 192 (56.3) mg/L and the lowest CrCL 21.7 (20.6) mL/min. Overall, we found a U-shaped distribution of mortality rates depending on the PIP SCs measured. We evaluated CrCL and SCs of survivors and deceased patients and found deceased to have significantly lower CrCL (31.8 mL/min (31.1 mL/min;[2.9–159 mL/min]), p < 0.0001) as compared to survivors (48.5 mL/min (48.5 ml/min; [4.3–245.2 mL/min]) and significantly higher PIP SCs (98.5 mg/L (75 mg/L;[21–244 mg/L]) vs. 66.5 mg/L (53 mg/L;[14.1–300 mg/L], p < 0.0001).
Table 4

Cross table depicting the distribution of clinical parameters in different PIP serum concentration group

PIP SC [mg/L]

33–64

≤ 16

16–32

65–99

≥ 100

 

N (%); p value

∑ N

 (Severe) sepsis

69 (41.3)

 

26 (54.2); .09

43 (37.4); .121

49 (31.8); .080

187

 Septic Shock

49 (29.3)

 

12 (25); .347

48 (41.7); 0.049

76 (49.4); < 0.0005

185

 Ventilation

104 (63.3)

1 (0.3)

31 (64.6); .504

80 (65.3); .410

101 (69.2); .163

317

 RRT

15 (9.0)

 

4 (8.2); .576

21 (16.5); 0.019

39 (26.6); < 0.0005

79

Median (IQR; min–max); p value

∑ n

 Age (years)

70 (17.8;17–92)

44

59.5 (24;19–88); < 0.0005

74 (14.5; 21–91)

75.5(12.0;16–91) < 0.0005

484

 CrCL (mL/min)

61.3 (50;10.7–245.2)

125.5

79.1 (65.8;9.7–179.5); 0.011

40.9(37.6;7.6–176.8) .119

26.9 (24.9;2.9–152.1) < 0.0005

484

Values given as absolute numbers (N) and relative incidence (%) or median (M) and interquartile range (IQR; Min.–Max.), respectively. Statistical analysis was assessed using Chi2- and Mann–Whitney U test. Significance level 5% (p < 0.05)

PIP Piperacillin, SC serum concentration, RRT renal replacement therapy, ICU intensive care unit, CrCL creatinine clearance, IQR interquartile range

Discussion

To the best of our knowledge, this is the largest reported experience of routinely used TDM-guided CI of PIP and customized PIP dosing. Positive effects of CI of β-lactams on patient outcome have been repeatedly reported [17, 19, 22, 34]. An important metanalysis by Roberts et al. [18] with remarkably low heterogeneity (I2 = 0 for hospital and ICU mortality) including 632 patients strikingly demonstrated significantly lower 30-day hospital mortality using CI of β-lactams.

We realized the minimum PK-target of ≥ 33 mg/L in 89.9% (n = 435/484) of patients within 24 h of treatment whereas 34.3% (n = 166/484) exactly met the designated PIP target range of 33–64 mg/L. TDM-guided dose adjustments could significantly enhance PK-target attainment (33–64 mg/L) by 81.9% and at the same time effectively reduced the number of patients with potentially harmful concentrations of ≥ 100 mg/L by 85%. Our data do not support previous findings of insufficiently low SCs [9, 35, 36] associated with CI of β-lactams. Underdosing during CI of PIP did rarely occur in the evaluated study cohort (≤ 24 h: 10.1%, n = 49/484; > 24 h: 15.8%, n = 71/449). In contrast to our findings, a recent prospective study of Dhaese et al. [36] found a remarkably high PK-target non-attainment in ICU patients enrolled to receive a CI of PIP (62.9% target non-attainment) or meropenem (25% target non-attainment). A possible explanation for the poor target attainment might be the higher PK-target of 100% fT>4 ECOFF of PSA (≥ 64–160 mg/L) itself. Although we used a lower PK-target in our study, PIP SCs ≥ 100 mg/L occurred in 30.2% (n = 146/484) of patients within the first 24 h of treatment. We would like to argue that main contributing factors for the divergent target attainment between Dhaese and our study are in fact the different PK-targets and the significantly different study population. Dhaese et al. [36] included younger patients that rarely required vasopressor support which is uncommon in critically ill patients. Our patients are almost 10 years older and the estimated median [IQR] CrCL is more compromised (46.3 mL/h [47.9 mL/h]) as compared to the ICU cohort of Dhaese and coworkers (Pip/Taz 95.4 mL/h [58.3 mL/h]; Mero 117.8 mL/h [68.4 mL/h]). Moreover, APACHE II and SOFA scores were only moderately high and patients with RRT were excluded. Our study cohort comprised 76.6% of patients with sepsis and septic shock including patients with RRT (Table 4). The PK-target (100% fT>4xECOFF, > 64 ≤ 160 mg/L) defined by Dhaese et al. [36] may be justified in a worst-case-scenario (PSA with MIC 16). EUCAST data show that only 11% of PSA have an MIC of 16. Most of the strains exhibit an MIC of 0.5-8 (https://mic.eucast.org/Eucast2/regShow.jsp?Id=6919). Consequently, we defined a lower primary PK-target (100% fT>2–4xECOFF, 33-64 mg/L) to balance effective bacterial killing and possibly harmful side effects. Our data highlight a U-shaped association of PIP SCs and mortality (Fig. 1). Exposure to higher than defined SCs was associated with significantly higher mortality rates (especially SCs ≥ 100 mg/L), especially in patients with exposure to PIP SCs of 100–160 (hospital mortality 35.5%, ICU mortality 30.4%) and > 160 mg/L (48.4%, 34.8%). We observed the highest survival rate in the patients with target attainment (33–64 mg/L), whereas Dhaese et al. [34] demonstrated a significantly lower survival rate in the group of patients with target attainment. In addition, these patients demonstrated a significantly lower CrCL.

With regard to adverse effects, Imani et al. [37] demonstrated neuro- and nephrotoxicity during bolus application of PIP. Quinton et al. [38] predicted neurotoxicity following continuous application of PIP at around a threshold concentration of 157 mg/L with a sensitivity of 52% which implies that neurotoxicity might well happen above and below 157 mg/L that concentration. Noticeably, patients with neurotoxic symptoms showed a significantly lower eGFR (18 mL/min) as compared to those without neurotoxicity (50 mL/min). The patients with neurotoxicity (n = 23) reached significantly higher PIP SCs (156 mg/L) and demonstrated a relevant reduction of GFR by approximately 45% (33/18 mL/min) within 3 days of antibiotic treatment. In contrast, the rest of the cohort demonstrated an increase of GFR by 13% (44/50 mL/min). On the day of PIP SC measurements, the dose normalized to eGFR (g/24 h/100 mL/min/1.73 m2) was significantly higher in the neurotoxicity group as compared to the rest of the group (48 [35.3–69.7] versus 22 [14.3–54]; p = 0.0111). We do think that this strongly hints to a potentially harmful effect in patients with very high PIP SCs (> 160 mg/L) and supports our finding that PIP SCs considerably higher than 100 and 160 mg/L may in fact be detrimental for kidney function in critically ill patients.

In accordance with previous data [30], we identified age and CrCL as two important factors for PK-target non-attainment in our study cohort: the odds for low PIP SCs significantly increased with high CrCL (< 16 mg/L: OR 1.002 95% CI [1.011–1.034]; 16–32 mg/L: OR 1.017 95% CI [1.013–1.022]; p < 0.0005) while age significantly increased the odds for PIP SCs ≥ 100 mg/L (OR 1.044 95% CI [1.029–1.060]; p < 0.0005). Intensivists need to recognize that exposure to PK-targets impacts treatment success and patient outcome. Higher age and ARC are relevant risk factors for PK-target non-attainment. In that sense, our data are an important contribution to previous studies [35, 39] stating that customized PIP dosing [24] is the only reliable way to enhance PK-target attainment, preventing over- and underdosing and thereby presumably improving patient outcome.

As illustrated in Table 4, impaired renal function (and PIP elimination) may cause high SCs but vice versa, high PIP SCs may readily exacerbate a preexisting renal dysfunction resulting in acute kidney injury with RRT. The potentially nephrotoxic effects of PIP are of special concern when a combination therapy (i.e., vancomycin) is pursued. Recent data clearly illustrate a higher incidence of acute kidney injury in combination therapy and furthermore a distinct effect of piperacillin [40, 41, 42]. Recent data [37] further support the notion that high piperacillin serum concentrations alone may be associated with nephrotoxicity; at least when administered as intermittent bolus application. Patients who developed nephrotoxic signs demonstrated mean PIP trough concentrations > 100 mg/L and those without any signs showed concentrations considerably < 100 mg/L.

As one of only few studies we specifically investigated the effect of RRT on PIP-PK during CI. Consistent with other data [43], we found a considerable reduction of CLPIP during RRT with markedly higher PIP SCs compared to non-RRT patients. One explanation may be the constant and renal-independent elimination of PIP during. In patients with PIP SCs of ≥ 100 mg/L, we found significantly more patients with acute renal failure requiring RRT. Vice versa, potentially toxic PIP concentrations might as well exacerbate preexisting renal dysfunction and attribute to acute kidney injury [37]. CVVHD is the most commonly used form of RRT in critically ill patients [44, 45] but it is far from being a standardized system. Different modes of operation, variations in flow and the type of hemofilter used may influence CLPIP and PIP-PK [46, 47, 48, 49].

Although pathophysiologic changes in obese patients [50, 51] may impose dosing problems, our data do not support this notion in the context of CI of PIP. The significantly higher CLPIP not associated with increased renal drug clearance in patients with a BMI (≥ 40 kg/m2) might hint to increased extra-renal drug clearance, i.e., through the gastrointestinal tract and/or drug deposition in fatty or muscle tissue. A significantly lower target attainment (fT>4×MIC) in obese patients has been previously demonstrated presumably as a drug-specific effect of piperacillin [52]. Therefore, these data emphasize the rationale for TDM particularly in obese patients in the ICU and the necessity for further trials investigating PIP and β-lactam PK alterations in this subgroup of patients [53, 54, 55].

Our findings underscore the need for definite studies investigating the effects of PK-target attainment along with CI of β-lactams on mortality. The ongoing TARGET study [56], investigating TDM-based dose optimization of piperacillin/tazobactam to improve outcome in patients with sepsis, will particularly address target attainment and CI. The aspect of CI of β-lactams will be re-assessed in the BLING III-study, an ongoing phase 3 multicenter randomized controlled trial investigating continuous versus intermittent β-lactam antibiotic infusion in critically ill patients with sepsis [57]. Both studies will also improve our understanding of the PK alterations of β-lactams in critically ill patients.

Our study has several limitations. The data were analyzed retrospectively and drawn from a single center where β-lactams have been routinely and solely been administered as a TDM-guided CI for more than 10 years. In the absence of control groups and possible confounding, mortality data must be interpreted prudentially. Even though we report a large number of routine TDM measurements, correlation with clinical scores [Sepsis-related Organ Failure Assessment Score (SOFA), Simplified Acute Physiology Score (SAPS)] was not possible. Microbiological data and MICs of pathogens were not available for analysis. HPLC was performed to measure PIP concentrations while the combination of PIP and tazobactam (PIP/TAZ) was administered to the patients. Recent evidence, however, suggests that the PK alterations of both PIP and TAZ are almost equal in healthy adults [58] and critically ill patients [59, 60]. β-lactamase inhibition with tazobactam occurs rapidly, within 20–30 min [58] and additionally, piperacillin inhibits tubular excretion of tazobactam [61].

Conclusion

Our data strongly support the use of TDM-guided CI of PIP in critically ill patients. This customized approach leads to sufficient PK-target attainment within the first hours of treatment while critically low PIP SCs rarely occurred. To the best of our knowledge, this is the largest reported experience of routinely used TDM-guided CI of PIP to report the effect of CI on PK-target attainment as well as PK changes with regard to renal function/RRT and obesity. We further found evidence of a reduction of mortality by achieving pre-defined target SC facilitating adequate exposures of PIP in critically ill with severe infections, sepsis and septic shock. The results are only valid for continuous application of piperacillin/tazobactam.

Notes

Compliance with ethical standards

Conflict of interest

DC.R. has received refunding of travel expenses from Gilead and Astellas Pharma. O.F. has no conflicts. A.R. has no conflicts. J.A.R. has served as a consultant/lecturer for MSD, Bayer, Astellas, bioMerieux and Accelerate Diagnostics and held investigator-initiated grants from MSD and The Medicines Company. A.K. has no conflicts. T.F. has no conflicts. N.P. has no conflicts. C.L. has no conflicts. T.B. has received lecture fees and/or refunding of travel expenses from: Baxter, Schöchl medical education, Boehringer Ingelheim Pharma, CSL Behring, Astellas Pharma, B. Braun Melsungen, MSD Sharp & Dohme and is member of advisory boards for: Baxter & Biotest. M.A.W. has received lecture fees and/or refunding of travel expenses from: Astellas Pharma, Astra Zeneca, B.Braun, Biosyn, CLS Behring, Cytosorb, Eli Lilly, GE Healthcare, Gilead, Glaxo Smith Kline, Janssen, Köhler Chemie, MSD Sharp & Dohme, Novartis, Orion & Pfizer Pharma and is member of advisory boards for: Astellas Pharma, B.Braun, Gilead, MSD Sharp & Dohme, Pall Medical & Pfizer Pharma. A.B. has received lecture fees and/or refunding of travel expenses from: Grünenthal GmbH, Pfizer Pharma GmbH, Fresenius Medical Care (FMC), Niedersächsisches Landesgesundheitsamt, LADR-Laboratory Bremen, Laborbetriebsgesellschaft Dr. Dirkes-Kersting GmbH, Gelsenkirchen, Laboratory Volkmann, Karlsruhe.

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Authors and Affiliations

  • Daniel C. Richter
    • 1
    Email author
  • Otto Frey
    • 2
  • Anka Röhr
    • 2
  • Jason A. Roberts
    • 3
    • 4
    • 5
    • 6
  • Andreas Köberer
    • 7
  • Thomas Fuchs
    • 7
  • Nikolaos Papadimas
    • 8
  • Monika Heinzel-Gutenbrunner
    • 9
  • Thorsten Brenner
    • 1
  • Christoph Lichtenstern
    • 1
  • Markus A. Weigand
    • 1
  • Alexander Brinkmann
    • 7
    Email author
  1. 1.Department of Anesthesiology and Critical CareHeidelberg University HospitalHeidelbergGermany
  2. 2.Department of Clinical PharmacyHeidenheim HospitalHeidenheimGermany
  3. 3.University of Queensland Centre for Clinical ResearchThe University of QueenslandBrisbaneAustralia
  4. 4.Centre for Translational Anti-infective Pharmacodynamics, School of PharmacyThe University of QueenslandBrisbaneAustralia
  5. 5.Royal Brisbane and Women’s HospitalBrisbaneAustralia
  6. 6.Royal Brisbane and Women’s HospitalHerstonAustralia
  7. 7.Department of AnesthesiologyHeidenheim HospitalHeidenheimGermany
  8. 8.Department of UrologyHeidenheim HospitalHeidenheimGermany
  9. 9.MH-Statistical ConsultingMarburgGermany

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