Abstract
Purpose
With a decreasing supply of antibiotics that are effective against the pathogens that cause sepsis, it is critical that we learn to use currently available antibiotics optimally. Pharmacokinetic studies provide an evidence base from which we can optimize antibiotic dosing. However, these studies are challenging in critically ill neonate and pediatric patients due to the small blood volumes and associated risks and burden to the patient from taking blood. We investigate whether microsampling, that is, obtaining a biologic sample of low volume (<50 μL), can improve opportunities to conduct pharmacokinetic studies.
Methods
We performed a literature search to find relevant articles using the following search terms: sepsis, critically ill, severe infection, intensive care AND antibiotic, pharmacokinetic, p(a)ediatric, neonate. For microsampling, we performed a search using antibiotics AND dried blood spots OR dried plasma spots OR volumetric absorptive microsampling OR solid-phase microextraction OR capillary microsampling OR microsampling. Databases searched include Web of Knowledge, PubMed, and EMbase.
Findings
Of the 32 antibiotic pharmacokinetic studies performed on critically ill neonate or pediatric patients in this review, most of the authors identified changes to the pharmacokinetic properties in their patient group and recommended either further investigations into this patient population or therapeutic drug monitoring to ensure antibiotic doses are suitable. There remain considerable gaps in knowledge regarding the pharmacokinetic properties of antibiotics in critically ill pediatric patients. Implementing microsampling in an antibiotic pharmacokinetic study is contingent on the properties of the antibiotic, the pathophysiology of the patient (and how this can affect the microsample), and the location of the patient. A validation of the sampling technique is required before implementation.
Implications
Current antibiotic regimens for critically ill neonate and pediatric patients are frequently suboptimal due to a poor understanding of altered pharmacokinetic properties.
An assessment of the suitability of microsampling for pharmacokinetic studies in neonate and pediatric patients is recommended before wider use. The method of sampling, as well as the method of bioanalysis, also requires validation to ensure the data obtained reflect the true result.
Keywords
Introduction
Severe infection in neonate and pediatric patients is a significant cause of mortality worldwide.
1
Premature and ill neonates are particularly susceptible to infection.2
The World Health Organization estimates that 26% of neonatal deaths are from sepsis. Pneumonia is the most common form of sepsis in children under 5 years of age, and is responsible for causing 19% of deaths in this group.3
Weiss et al,4
in a recent worldwide pediatric intensive care unit point prevalence study, found that 8.2% of all pediatric intensive care unit patients had sepsis. Schlapbach et al5
found that in the period from 2002 to 2013, 11.9% of all pediatric admissions (97,127 in total) to intensive care units in Australia and New Zealand had sepsis. This is similar to the percentage of adult admissions to intensive care units for sepsis.6
Ballot et al7
found that sepsis-related deaths occurred in 22.1% of late-onset sepsis patients in their neonatal intensive care unit.Standard therapy for sepsis
8
, 9
, 10
includes administering broad-spectrum intravenous antibiotics; inotropic, vasoactive agents; and intravenous volume expansion. Surgical intervention might be required to control the source of infection. Intubation and ventilation are frequently required. Renal replacement therapy and extracorporeal life support can also be employed, and can be important life-saving measures. These interventions, as well as the progression of critical illness, can significantly alter antibiotic pharmacokinetic properties and result in exposure-related toxicity or therapeutic failure due to inadequate antibiotic exposure.11
, 12
, 13
, 14
Early administration of appropriate antibiotics is a primary treatment because it is associated with decreased morbidity and mortality in children
15
, 16
, 17
, 18
and adult patients with sepsis.8
, 19
, 20
Effective antibiotic therapy is essential to the resolution of an infection causing sepsis.However, the use of antibiotics in critically ill neonate and pediatric patients is poorly understood, with evidence suggesting that current dosing is frequently inadequate.
21
, 22
Recommended neonate and pediatric antibiotic dosing regimens are often extrapolated from healthy adult data using basic empiric scaling factors, such as body weight or body surface area.23
A Europe-wide point prevalence study that included 89 neonatal intensive care units from 21 countries found that 75% of vancomycin doses were below the recommendations.24
Describing pharmacokinetic properties in a pediatric patient traditionally requires the sampling of 1 to 5 mL of whole blood, taken 5 to 8 times within a dosing interval, from a cannula or by venipuncture. There are challenges associated with performing pharmacokinetic studies in neonatal and some pediatric patients due to their small blood volumes and the psychological burden associated with blood sampling.
25
Studies have found that pediatric intensivists are in ethical conflict about performing potentially life-saving drug research, even while identifying them as ethically acceptable.25
Yet, this information is important for optimizing the treatment of their patients.21
, 22
, 23
, 26
Innovation in the quantitative analysis of clinical samples, led by improved sensitivity of analytical methods, has reduced blood sample volumes to “microsamples.”
27
Microsampling uses a low volume of sample (<50 μL), with some acquired by skin prick. Microsamples can require frozen storage or be dried for transport and storage.The aim of this paper was to review the current knowledge of antibiotic dosing in critically ill neonates and pediatric patients. From this, we investigated whether microsampling can improve opportunities to conduct pharmacokinetic studies and improve antibiotic dosing in these patients.
Methodology
We undertook a literature search to find relevant articles using the following search terms: sepsis, critically ill, severe infection, intensive care AND antibiotic, pharmacokinetic, p(a)ediatric, neonate. Specifically, these were articles that described pharmacokinetic properties and antibiotic concentrations in critically ill neonatal and pediatric patients. Additionally, we included papers relating to adult patients when they added important and relevant information. For microsampling, we performed a search using the following terms: antibiotics AND dried blood spots OR dried plasma spots OR volumetric absorptive microsampling OR solid-phase microextraction OR capillary microsampling OR microsampling. Databases searched include Web of Knowledge, PubMed, and EMbase.
Of the 32 antibiotic pharmacokinetic studies performed on critically ill neonate or pediatric patients in this review, most of the authors identified changes to the pharmacokinetic properties in their patient group and recommended either additional investigations into this patient population or therapeutic drug monitoring to ensure antibiotic doses are suitable.
Altered Pharmacokinetics in Critically ill Neonate and Pediatric Patients
A number of physiologic changes occur within the body as a result of both sepsis and the medical interventions required for treatment. Roberts et al
Umbilical artery catheters, umbilical venous catheters, peripherally inserted central catheters, antecubital vein venipuncture, or warmed-heel-stick sampling.
28
identified the effects of critical illness in adults that have the potential to affect antibiotic pharmacokinetic properties as altered hyperdynamic function, altered fluid balance, organ dysfunction, and organ support. Changes to patient pathophysiology can be described in terms of the alterations to the pharmacokinetic parameters of clearance and Vd. These changes can directly influence the antibiotic concentrations that are available to fight infection. A summary of the pharmacokinetic studies in critically ill neonate and pediatric patients described in this section is included in the Table.TableReview of literature for pharmacokinetic data on critically ill neonate and pediatric patients receiving antibiotics.
Antibiotic Class | First Author | Study Population | Antibiotic | Samples/ Patient | Age, y | Dose, mg/kg | Factors in Study | Patients, n | PK Parameter | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Vd, L/kg | t1/2, h | CL, L/h/kg | Cmax, mg/L | Cmin, mg/L | AUC, mg/h/L | |||||||||
β-Lactam | Bradley 35 | Critically ill neonates | Meropenem | 3; unknown volume; various access | 23 GA to 62 PA | 10 or 20 | NA | 37 | 0.40 | 2.9 | 0.104 | |||
Cies 21 | Critically ill pediatrics | Meropenem | 0.25 to 9 | 29 | NA | 11 | 0.65 | 1.4 | 0.384 | |||||
Cies 41 | Critically ill pediatrics | Piperacillin | 2–4; unknown volume | 0.75 to 6 | 75 to 106.4 | NA | 13 | 0.249 | 1.39 | 0.299 | ||||
Cohen-Wolkowiez 109 | Critically ill neonates | Piperacillin | 2–7; 0.2 mL/sample | <32 GA to >32 PA | 80 every 8 h | GA<32, PA<14 | 12 | 0.42 | 5.3 | 0.055 | 38.3 | |||
GA<32, PA>14 | 9 | 0.42 | 2.5 | 0.116 | 34.6 | |||||||||
GA>32, PA<14 | 8 | 0.42 | 2.8 | 0.104 | 28.0 | |||||||||
GA>32, PA>32 | 3 | 0.42 | 4.5 | 0.065 | 31.1 | |||||||||
Kongthavonsakul 110 | Critically ill pediatrics | Meropenem | 4; peripheral line 5 mL/sample | 4 to 12 | 20 every 8 h | NA | 14 | 0.20 | 0.286 | |||||
Nehus 111 | Critically ill pediatrics on CRRT | Meropenem | 6–11; unknown volume | 5 to 21 | 13.8 to 22 every 12 h | NA | 7 | 0.35 | 4.3 | 3.7 | 80.1 | |||
Nichols 112 | Critically ill pediatrics | Piperacillin | 6; 0.5-mL/kg sample, 5 mL maximum | 0.75 to 11 | 100 every 8 h, 4 h infusion | NA | 12 | 0.43 | 0.22 | |||||
Tazobactam | 0.37 | 0.19 | ||||||||||||
Santos 113 | Pediatrics burns | Imipenem | 5; venous catheter 1 mL/sample | 1 to 9 | 0.5 g every 6 h | NA | 6 | 0.23 | 1.45 | 0.138 | ||||
Penicillin | De Cock 22 | Critically ill pediatrics | Amoxicillin-clavulanic acid | 5; predefined maximum volume: 2.4 mL/kg | 0.08 to 15 | 25 to 35 every 6 h | Amoxicillin- | 50 | V1 0.13; V2 0.08; V3 0.16 | 0.26 | ||||
clavulanic acid | V1 0.17; V2 0.14 | 0.17 | ||||||||||||
Muller 114 | Critically ill neonates | Penicillin | 5; 0.2 mL/sample | 26 to 32 GA | 30 | Day 3 after birth | 20 | 0.45 | 3.9 | 0.086 | ||||
Fluoroquinolone | Leroux 46 | Critically ill neonates | Ciprofloxacin | 2–3; predefined maximum volume: 1.2 mL + scavenged samples | <40 wk PA 10 every 12 h; >40 wk PA 10 every 8 h | Scheduled sampling | 60 | V1 1.28 | 0.330 | |||||
V2 0.84 | ||||||||||||||
Scavenged sampling | V1 0.307 | 0.344 | ||||||||||||
V2 1.76 | ||||||||||||||
Lipman 45 | Critically ill pediatrics | Ciprofloxacin | 6–9; 0.5 mL | 0.25 to 5 | 20 | A: 3–12 mo; days 0, 2, and 7 | 20 | 2.06. 1.49, 2.05 | 3.67, 3.3, 4.23 | 3.82, 3.48, 4.64 | 6.08, 9.03, 5.81 | 0.21, 0.21, 0.16 | 15.6, 19.2, 14.1 | |
B: 1–5 y; days 0, 2, and 7 | 1.44, 1.43, 1.76 | 2.84, 3.13, 2.82 | 6.65, 6.15, 8.16 | 7.38, 7.78, 6.38 | 0.14, 0.21, 0.10 | 15.9, 18.0, 13.2 | ||||||||
Cephalosporin | Ahsman 43 | Critically ill pediatrics on ECMO | Cefotaxime | 10; 0.7 mL | 0 to 0.75 | 50–150 daily, every 6 h | Cefotaxime | 37 | 0.52 | 3.5 | 0.103 | |||
Des-CTX | 3.14 | 5.4 | 0.417 | |||||||||||
Olguin 115 | Critically ill pediatrics | Cefuroxime | 11; unknown volume | 0.3 to 14 | 100 every 8 h | infection, not unwell | 4 | 1.5 | 0.55 | 116.4 | ||||
Severe sepsis, not intubated | 5 | 1.6 | 0.48 | 121.6 | ||||||||||
Severe sepsis, intubated | 6 | 3.1 | 1.87 | 190.7 | ||||||||||
Trang 42 | Critically ill pediatrics | Cefotaxime | 10 samples, IV cannula. 0.7 mL | 0.17 to 12 | 50 every 6 h | Cefotaxime | 13 | 0.361 | 0.8 | 0.289 | 121.2 | 212.7 | ||
Des-CTX | 2.1 | 0.363 | 21.6 | 82.4 | ||||||||||
Lipoprotein | Akins 116 | Critically ill pediatrics | Daptomycin | 8; unknown volume | 13 | Day 1: 6 | Day 1 | 1 | 0.067 | 2.31 | 0.91 | 83.0 | 0.01 | 298.01 |
Day 2–6: 8 | Day 6 | 1 | 0.089 | 4.58 | 0.61 | 96.9 | 2.70 | 593.92 | ||||||
Bradley 54 | Complicated skin infection/bacteremia | Daptomycin | 5; 0.5 mL | 0.25 to 2 | 4 | 3–6 mo | 7 | 0.128 | 5.1 | 0.020 | 38.7 | 215.0 | ||
4 | 7–12 mo | 7 | 0.135 | 5.5 | 0.020 | 37.1 | 219.3 | |||||||
6 | 13–24 mo | 5 | 0.122 | 4.4 | 0.022 | 67.0 | 281.5 | |||||||
Nitroimidazole | Cohen-Wolkowiez 47 | Critically ill neonates | Metronidazole | 8; 0.2 mL | 1 to 82 PA | 15 loading, 7.5 every 12–24 h | <14 d PA | 9 | 0.96 | 24.3 | 0.027 | 8.0 | ||
≥14 d PA | 15 | 0.94 | 15.1 | 0.042 | 11.1 | |||||||||
Cohen-Wolkowiez 117 | Critically ill neonates | Metronidazole | 5; 0.3 mL + scavenged samples | 22 to 32 GA, 7 to 71 PA | 4.2–15.4 every 12 h | <26 GA | 13 | 0.71 | 20.5 | 0.024 | ||||
26–29 GA | 14 | 0.71 | 18.6 | 0.026 | ||||||||||
30–32 GA | 5 | 0.71 | 16.7 | 0.029 | ||||||||||
Suyagh 72 | Critically ill neonates | Metronidazole | 2 to 10; unknown volume | 24 to 37 GA | 15 loading, 7.5 every 8–12 h | NA | 32 | 0.756 | 19.7 | 0.024 | ||||
Glycopeptide | Gous 118 | Critically ill pediatrics | Vancomycin | 4; days 2 and 8 | 2 to 41 GA | 10 every 6 h | Day 2 | 20 | 0.81 | 5.3 | 1.5 | 29.1 | 12.0 | |
Day 8 | 0.44 | 3.4 | 1.2 | 35.5 | 11.7 | |||||||||
Gomez 119 | Pediatrics burns | Vancomycin | 4; + trough, 1-mL sample | 1 to 11 | 40–60 every 6h | NA | 13 | 0.41 | 2.4 | 2.78 | 552.8 | |||
Amaker 120 | Critically ill neonates | Vancomycin | 8; venous cannula, 0.3-mL sample volume | 37 to 42 GA | 15 or 20 very 8–18 h | NA | 12 | 1.06 | 16.9 | 0.15 | ||||
Ciesd, 121 | Critically ill neonates | Vancomycin | Not specified | Not specified | NA | 13 | 0.49 | 4.9 | 1.93 | |||||
Triazole | Wade 122 | Critically ill neonates | Fluconazole | 12; 0.3 mL | 23 to 40 GA, 0.14 to 12.6 PA | 3–12/dose | NA | 55 | 1.0 | 0.015 | ||||
Aminoglycoside | Bressolle 123 | Critically ill pediatrics | Amikacin | 2–6; unknown volume | 0.5 to 15 | 70–1500 mg | NA | 36 | 0.403 | 40.7 | 0.97 | |||
Marik 124 | Critically ill pediatrics | Amikacin | 10; 0.5–2 mL, 2nd day; peak/trough alternate day arterial line | <0.5 to 70 | 20 every 12–24 h | <0.5 | 30 | 0.58 | 5.0 | 0.063 | ||||
0.5–1 | 30 | 0.5 | 2.9 | 0.068 | ||||||||||
15 every 12–24 h | 1–70 | 40 | 0.33 | 3.5 | 0.051 | |||||||||
Kopcha 125 | Pediatrics burns | Amikacin | 4; unknown volume | 0.25 to 18 | 10–15 every 6 h | NA | 38 | 0.39 | 1.3 | 3.5 | ||||
Rengelshausen 126 | Critically ill neonates | Netilmicin | 5; unknown volume | 22.9 to 32 GA | 5 loading; 1 every 24 h | <24 wk | 5 | 0.94 | 18.2 | 0.59 | 8.10 | 2.14 | 141 | |
5 loading; 1 every 24 h | 24–27 wk | 7 | 1.03 | 17.0 | 0.72 | 6.96 | 1.78 | 122 | ||||||
5 loading; 1.5 every 24 h | >27 wk | 8 | 0.88 | 17.5 | 0.62 | 7.95 | 2.00 | 142 | ||||||
Sherwin 127 | Pediatrics burns | Amikacin | 2; unknown volume | 0.6 to 17 | 4.9–22.3 | NA | 70 | Vc 0.24; Vp 0.57 | 0.08 | 33.2 | 3.8 | |||
Yu 53 | Pediatrics burns | Amikacin | 1–2; unknown volume | 2 to 10 | 13–20 | Burns | 70 | 1.14 | 7.22 | 32 | 2.3 | |||
2 to 14 | 8–16 | No burns | 32 | 0.82 | 5.36 | 23.9 | 0.9 | |||||||
Wagner 128 | Critically ill pediatrics | Netilmicin | 2; unknown volume; arterial catheter | 28 GA to 4.6 PA | 3.5–6 | Normal renal | 66 | 6.2–19.5 | 0.1–2.5 | |||||
Impaired renal | 13 | 0.7–4.4 |
CRRT = continuous renal replacement therapy; Des-CTX = desacetylcefotaxime; ECMO = extracorporeal membrane oxygenation; GA = gestational age, weeks; NA = not applicable; PA = postnatal age, days; PK = pharmacokinetic.
† Data from abstract only.
‡ Calculated as /kg based on mean weight of patient population reported.
§ Calculated from mL/(min/1.73m2) using a mean surface area of 1.40 m2.
Clearance
Generally, clearance occurs predominantly via the liver for lipophilic antibiotics (eg, fluoroquinolones) and predominantly via the kidney for hydrophilic antibiotics (eg, β-lactams, aminoglycosides).
29
Hepatic and renal function therefore affect this important pharmacokinetic parameter.Altered renal function is common in critically ill pediatric patients and presents a challenge for effective antibiotic dosing. Clinically, drug clearance and renal function are often described by estimates of glomerular filtration rate (GFR). One method of estimating GFR is creatinine clearance, which does not describe the additional impacts of tubular secretion and reabsorption that, in sepsis, can be altered as a consequence of disease state and medical interventions. For antibiotics like β-lactams, which commonly undergo a high proportion of tubular secretion, this uncertainty can lead to inaccurate dosing. For pediatric patients, this is further complicated by the degree of maturation of renal function and age-related renal vascular changes.
30
A study by De Cock et al22
investigated serum and urinary creatinine and cysteine C as biomarkers of renal clearance to study critically ill children receiving amoxicillin and clavulanic acid and found cysteine C was a significant covariate influencing drug disposition. Furthermore, increased organ blood flow by cardiac output has been identified early in sepsis,31
and this can affect renal blood flow, as can the use of vasopressors32
and, consequently, clearance. Therefore, the description of the clearance of critically ill pediatric patients might require a suitable biomarker that adequately accounts for age-related changes to both renal clearance (that includes GFR, tubular secretion, and reabsorption) and cardiac output. Udy et al33
recommend the use of urinary creatinine for estimating GFR in critically ill adults; this can be appropriate for pediatric patients also.Maturation of renal function begins at 9 weeks of gestation and is completed by 34 weeks of gestation, followed by postnatal changes in renal and intrarenal blood flow.
30
Developmental changes to renal function are likely to affect the clearance of hydrophilic antibiotics. A study of levofloxacin, that is both hydro- and lipophilic, found children under 2 years of age can have a renal elimination of drugs that is twice as fast as adults.34
Studies of meropenem in neonates35
and critically ill infants and children21
using current dosing regimens found increased clearance led to meropenem exposures that might be inadequate to reach some pharmacodynamic targets, such as that required for Pseudomonas aeruginosa.Augmented antibiotic clearance has been identified in fit, healthy adult patients with sepsis,
36
, 37
, 38
, 39
and can be present in neonate and pediatric sepsis patients. However, establishing an adequate definition of a normal range that accounts for age-related variability and maturation in neonate and pediatric patients can be challenging, but should be determined before significant studies into augmented antibiotic clearance are undertaken.A study by De Cock et al
40
found the observed population estimate for amoxicillin clearance in critically ill children is much higher than previously reported in critically ill adults. A standard dose of amoxicillin and clavulanic acid did not meet the expected treatment targets. There was a 32% failure rate in this study using amoxicillin and clavulanic acid for the empirical treatment of sepsis. Other studies of critically ill pediatric patients report clearance results of hydrophilic antibiotics, piperacillin and tazobactam and cefotaxime, that are similar to healthy uninfected patients41
or similar to adults.42
Ahsman et al43
found a lower cefotaxime clearance in critically ill pediatric patients on extracorporeal membrane oxygenation. However, this did not affect the attainment of pharmacokinetic target of time above the minimum inhibitory concentration.43
Ciprofloxacin is one of the few antibiotics studied in septic pediatric patients that undergoes hepatic metabolism.
44
Lipman et al45
found the clearance in pediatric patients under the age of 12 months was higher than for patients aged between 1 and 5 years. However, the AUC was lower than that seen in adult sepsis patients,45
and the authors concluded that the ciprofloxacin dose might need to be increased in these patients to meet pharmacodynamic targets. The clearance of ciprofloxacin in critically ill neonates was lower in the Leroux et al46
study than that found by Lipman et al in older critically ill pediatric patients.A population pharmacokinetic study by Cohen-Wolkowiez et al
47
found clearance of metronidazole was significantly associated, and increased disproportionally, with covariates of maturation—a finding consistent with an antibiotic that is predominantly metabolized in the liver. The authors concluded a dosing strategy based on post-menstrual age outperformed current dosing guideline recommendations.47
Changes to antibiotic clearance in critically ill neonate and pediatric patients appear to be associated with suboptimal blood concentrations, which can be toxic or inadequate. This uncertainty of drug behavior in neonate and pediatric patients presents significant challenges for the development of optimal dosing regimens.
Volume of Distribution
Premature neonates have a high total body water (80%−90% of bodyweight), while fat content is low (10%−15% of bodyweight).
30
Extracellular water falls from 45% of total body water in the full-term neonate to 20% in the adult.48
Furthermore, changes to pediatric patients with a maldistribution of blood flow and fluid shifts (capillary leak syndrome, increased fluid volume) caused by sepsis and medical interventions can alter the Vd of hydrophilic drugs.49
This increase in Vd has been shown in critically ill adult patients to alter pharmacokinetic parameters of half-life, Cmin, Cmax, and AUC.50
, 51
Therefore, dosing of antibiotics in pediatric patients with sepsis might need to account for both age-related volume changes and altered pathophysiology.Lipman et al
52
reported that there is a difference in Vd for ciprofloxacin between infants with sepsis, with a higher Vd observed in patients younger than 12 months. A study of amikacin pharmacokinetics by Yu et al53
also found the volume of distribution was increased in patients with burns injuries compared with those without (22.7 L vs 18.7 L; P < 0.01). Increased fluid infusions might explain, at least in part, the increased Vd of amikacin observed among burn patients.53
Both studies identified that an increase in dose was likely to lead to improved pharmacodynamic target attainment rates, although further clinical evaluations are suggested.53
A pharmacokinetic study by Bradley et al
54
of daptomycin in pediatric patients found greater renal clearance and volume of distribution compared with adults, resulting in a decreased half-life and reduced exposure. As daptomycin is associated with nerve toxicity, the authors recommended alterations to dosing intervals and time of infusion to address exposure.The Vd is also affected by the protein-binding capacity of an antibiotic and availability of binding sites. Plasma concentrations of albumin and total proteins increase from birth to adulthood and, as a consequence of this, neonates and infants 1 to 3 years can be at risk of increased exposure to unbound antibiotic.
55
This can be of significance to antibiotics that are highly protein bound or have a small Vd in adults.30
, 56
Increased unbound antibiotic concentrations can present as an increased Vd. The clinical relevance of this change, as well as changes to Vd as a consequence of altered pathophysiology and age-related volume changes, requires further study. Poorly understood pharmacokinetic changes lead to uncertainty of how to effectively dose antibiotics in critically ill neonate and pediatric patients. A new approach to pharmacokinetic research is required to address these gaps in knowledge.Application of Microsampling to Critically ill Pediatric Patients
Microsampling from skin prick or from scavenged point-of-care-testing (POCT) samples are the least invasive sampling options for use in a pharmacokinetic study. For most neonate and pediatric patients, these samples can be collected easily. Peripheral samples can be impossible or challenging for patients experiencing septic shock, and this option might not be available. Neonate and pediatric pharmacokinetic studies usually obtain samples ranging from 0.3 to 0.6 mL. Rather than relying on larger volumes of sample, microsamples can still be obtained from scavenged POCT. A study comparing scheduled pharmacokinetic sampling with scavenged sampling and applying the results to population pharmacokinetic modeling found similar predictive performance between each of the models.
46
Implementing microsampling into a pharmacokinetic study requires consideration of whether a wet or dry or plasma or whole blood sample is the most suitable. These decisions are based on multiple factors and are discussed in the section on Considerations for Study Design Using Microsampling.
Microsampling Techniques and Application to Antibiotics
Microsampling methods currently used clinically for pediatric patients include dried blood spots (DBS) for neonatal screening of metabolic and inherited diseases, and capillary microsampling is used for small-volume POCT for capillary glucose, capillary ketones, and blood gases.
57
, 58
, 59
, 60
Newer forms of microsampling hold potential for the quantitation of drugs in biologic samples, and these include dried plasma spots (DPS), volumetric absorptive microsampling (VAMS), solid-phase micro-extraction (SPME), and plasma preparation technologies (PPT). Capillary microsampling has the potential to expand its current use from POCT into the quantitative analysis of drugs.
DBS are typically prepared by applying a small volume of blood, obtained by thumb or heel prick, to absorbent paper, which is then dried. For a quantitative analysis, either the whole blood spot or a sub-punch is analyzed. Variability in hematocrit has been found to affect the reliability of the resulting concentrations of DBS samples. Variable hematocrit affects the spot size, homogeneity of the sample, and recovery
61
of the laboratory extraction, and can affect the reliability of the method of detection (termed the matrix effect).62
Therefore, variable hematocrit from individuals can affect the precision and accuracy of the concentration result. Hematocrit varies widely in early infancy, particularly at birth, where normal values can range between 42% and 65%.63
This variability decreases with 95% ranges of 26.8% to 37.6% at 2 months (n = 119), 29.7% to 38.3% at 5 months (n = 93), and 31.2% to 39.1% at 13 months (n = 42).64
Thereafter, hematocrit rises to adult levels of 36% to 50%.65
As De Kesel et al66
report, there is a clear need to define the hematocrit interval at which the impact of the hematocrit on the accuracy of the analytical result is acceptable. Measures to control for the hematocrit effect on DBS include avoiding the problem (applying the blood volumetrically or using DPS), minimizing the problem (by preparing calibration standard samples in blood with hematocrit close to the range of the patient), or compensating for the problem (by predicting the hematocrit based on an endogenous biomarker, such as potassium.67
, 68
DBS has been used as a microsampling tool for the analysis of ceftriaxone
69
; ertapenem70
; linezolid70
, 71
; metronidazole47
, 72
; moxifloxacin73
; rifampicin and clarithromycin74
; ramoplanin75
; fluconazole, voriconazole, and posaconazole76
, 77
; netilmicin and gentamicin78
; and piperacillin and tazobactam.79
Hofman et al80
identified DBS as a potentially feasible tool for dosing individualization, using therapeutic drug monitoring, for a wide range of antibiotics in the treatment of pulmonary infections. Antibiotic prescribing for critically ill patients recommends the use of therapeutic drug monitoring to ensure appropriate pharmacokinetic targets are met in a patient group that can experience dramatic and intra-individual fluctuations in physiology.81
Capillary microsamples are prepared by collecting whole blood in a plastic or glass capillary tube (that may contain anticoagulant).
82
Plasma is then obtained by centrifuging the capillary tube. Capillary microsampling has been used as a blood sampling tool for the quantitative analysis of moxifloxacin.83
DPS are prepared in a manner similar to DBS, with the application of plasma rather than whole blood. DPS eliminates some of the problems associated with variable hematocrit being applied to the absorbent paper. DPS can be prepared using capillary microsampling. DPS has been used as a microsampling tool for the quantitative analysis of linezolid,84
fosfomycin,85
daptomycin,86
trimethoprim, and sulfamethoxazole.87
Recent advances in microsampling include VAMS devices. The VAMS device is an absorbent polymeric tip that wicks up a fixed volume (10 μL) of whole blood by capillary action.
88
The tip is then dried in preparation for transport and storage. VAMS has been validated as a microsampling tool for the quantitative analysis of fosfomycin.85
PPT are single-step technologies in which whole blood is applied to a spot on a card. The sample passes through a membrane removing cells and allowing plasma to be collected on a disc as a standard volume.89
The plasma thus becomes a DPS. PPT has not been applied to the analysis of antibiotics.Finally, a form of microsampling that holds potential for future development is SPME. SPME devices use stainless-steel fibers on which the drug is absorbed.
90
, 91
The drug is desorbed from the fiber for analysis. SPME has been used in proof-of-concept studies for the analysis of linezolid.91
, 92
This technology has not been reported for sampling direct from humans.Considerations for Study Design Using Microsampling
Decisions for using microsampling in a pharmacokinetic study can be based on a “contingency approach,” as described by Parker et al.
27
This approach considers the impact of the properties of the antibiotic, as well as the type and geographical location of the patients.Properties of the Antibiotic
Total versus Unbound Measurement of Antibiotics
Once an antibiotic is absorbed, its distribution is influenced by its binding capacity, organ perfusion, organ size, and the permeability of tissues.
93
The portion of the antibiotic that is unbound is responsible for the pharmacologic activity (drug that is not bound to either plasma proteins or red blood cells). Often, microsampling only allows for measuring total concentrations of drug.For antibiotics that do not exhibit high levels of binding, for example, fosfomycin,
94
pharmacokinetic studies are usually performed based on the total concentration of the antibiotic. If an antibiotic is bound to plasma proteins or red blood cells, but the binding is fixed (does not vary with concentration or between patients), for example, cefazolin,95
total concentrations can be used and a factor applied to the pharmacokinetic calculations to represent the bound proportion. When antibiotic binding alters across a concentration range that results from the therapeutic dose, or it varies between patients, for example, ceftriaxone96
or linezolid,97
both total and unbound concentrations are measured.Stability
The stability of an antibiotic in its biologic matrix (ie, plasma, whole blood, urine) and in its format as a microsample, requires assessment. This is an essential element of a quantitative bioanalytical validation (see section on Validation Requirements). Before commencing a pharmacokinetic study, the stability of the microsample is assessed for storage and sample handling conditions. Some antibiotics have been found to have limited stability in whole blood and when dried and stored as microsamples at room temperature, including piperacillin
79
and fosfomycin.98
Distribution in the Body
The concentration of drugs can exhibit a marked blood sampling site dependence,
99
this can be between arterial and venous sampling, or between central-line sampling and peripheral (toe or finger) sampling. A bridging study that correlates a peripheral microsample with arteriovenous samples can provide sufficient data on the suitability of the sampling site.Type of Patient: Critically Ill Neonate and Pediatric Patients
Critically ill neonate and pediatric patients can commonly experience anemia and hemodilution from medical interventions.
100
As discussed in the section on Microsampling Techniques and Application to Antibiotics, hematocrit can affect the viscosity of a whole blood sample. Some whole blood microsamples, for example, DBS, from these patients can produce unreliable antibiotic concentrations if they are calculated relative to calibration standards prepared using blood with a different level of hematocrit.Similarly, neonate and pediatric patients can experience changes in albumin concentrations. Lower albumin concentrations can be caused by hemodilution or hypoalbuminemia due to liver or kidney failure, and higher albumin concentration from dehydration. Changes to albumin concentrations can affect the viscosity of a microsample for both whole blood and plasma.
Alterations to hemostasis have been identified in adult patients with a clinical diagnosis of sepsis.
101
Hemostasis can provide challenges to sampling pediatric patients. Hypercoagulability can prevent effective blood absorption by the microsample substrate, such as DBS, PPT, or VAMS. The capillary action required to collect a capillary microsample might be limited. Scavenged POCT samples might still be available for collection of plasma.Pediatric patients are frequently administered anticoagulants, such as heparin, to prevent tissue hypoxygenation and to attenuate organ damage and dysfunction.
102
Lithium heparin has been found to cause a suppression or enhancement of signal in LC-MS/MS.103
This can produce a falsely high or low concentration result for a patient sample.Patient Location
Many neonate and pediatric patients with sepsis will be treated in intensive care units or emergency departments in hospital. Pediatric patients in a metropolitan location might receive oral antibiotics prescribed by a general practitioner before transfer to hospital. In rural or remote locations, intravenous antibiotics can be administered, with the patient then transferred to hospital. Patients in impoverished locations might be administered intravenous antibiotics in hospitals with limited facilities.
Where patients are in remote or rural locations, the requirement for samples to be easily transported without the need for complex sample manipulation is paramount. Dry microsamples (such as DBS, PPT, and VAMS) are well suited to this and would allow shipping between collaborating sites.
Collection of a sample in close proximity to a laboratory for sample preparation or analysis, such as a metropolitan hospital with an onsite research facility, offers the researcher a greater number of choices in sample preparation, with both wet and dry samples suitable for analysis.
Microsampling has already been used to analyze the efficacy of antimalarial therapy in children in developing countries.
104
, 105
Interestingly, the results of the study by Ursing et al105
found that dosing of chloroquine was inadequate.Validation Requirements
The application of microsampling to a pharmacokinetic study requires the conduct of comprehensive quantitative bioanalytical validation.
106
, 107
Most of the testing is performed before the collection of clinical samples. This prescriptive testing process ensures the resulting concentrations of the antibiotic tested reflects the original sample.A quantitative bioanalytical validation includes testing for accuracy, precision, linearity, recovery, matrix effects, stability, and an incurred sample reanalysis. The US Food and Drug Administration’s Draft Guidance for Industry Bioanalytical Method Validation provides direction on the validation of DBS, including stating that for DBS, correlative studies (or “bridging studies”) with traditional sampling should be performed.
108
Conclusions
Infection in critically ill neonate and pediatric patients is a major health problem. Current antibiotic regimens for critically ill neonate and pediatric patients are frequently suboptimal due to a poor understanding of altered pharmacokinetic properties. An assessment of the suitability of microsampling for pharmacokinetic studies in neonate and pediatric patients is recommended before wider use. The method of sampling, as well as the method of bioanalysis, also requires validation to ensure the data obtained reflects the true result.
Conflicts of Interest
The authors have indicated that they have no conflicts of interest regarding the content of this article.
Acknowledgments
J.A.R is a recipient of an Australian National Health and Medical Research Council Fellowship (APP1048652). We wish to acknowledge funding from the Australian National Health and Medical Research Council for Project Grants (APP1044941, APP1062040) and Centre of Research Excellence (APP1099452).
Dr. Dorofaeff: First author. Compiled review and table, drafting of manuscript and final approval of manuscript. Ms. Bandini: Second author. Contributed to drafting of manuscript and final approval of manuscript. Prof. Lipman: Third author. Contributed to the conception of the manuscript and final approval of manuscript. Dr. Ballot: Fourth author. Contributed to the conception of the manuscript and final approval of manuscript. Prof. Roberts: Fifth author. Contributed to the conception of the manuscript, revising it critically for important intellectual content and final approval of manuscript. Dr. Parker: Senior author. Contributed to the conception of the manuscript, revising it critically for important intellectual content and final approval of manuscript.
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Article info
Publication history
Published online: August 18, 2016
Accepted:
July 22,
2016
Identification
Copyright
© 2016 Elsevier Inc. All rights reserved.