Reevaluation of Gentamicin Dosing in the Neonatal Population

1995 ◽  
Vol 11 (3) ◽  
pp. 105-109
Author(s):  
Thomas M Gray
Keyword(s):  
Rate Constant ◽  
Gestational Age ◽  
Trough Concentration ◽  
Elimination Rate ◽  
Retrospective Chart Review ◽  
Volume Of Distribution ◽  
Full Term ◽  
Pharmacokinetic Parameters ◽  
Trough Concentrations ◽  
Neonatal Population

Objective: To determine whether current recommendations for gentamicin dosing in full-term newborns yield a serum peak concentration of 6–7 μg/mL and a trough concentration less than 2 μg/mL in treating suspected neonatal sepsis. Design: Two-year retrospective chart review. Setting: Community hospital. Results: Sample consisted of 175 newborns with a gestational age ranging from 36 to 43 weeks and 188 sets of concentrations. Pharmacokinetic parameters were calculated using a one-compartment, first-order elimination model and were reported as follows: volume of distribution 0.59 kg/L, elimination rate constant (ke) 0.11 h−1 (half-life [t1/2] 6.8 h) at 36–37 weeks of age, with a significant change (p < 0.05) in rate constant occurring at 38–43 weeks of life, and ke 0.12 h−1 (t1/2 6.0 h) when using a two-tailed, two-sample t-test. Extrapolated mean peak concentrations were 5.8 ± 1.2 μg/mL and trough concentrations were 1.5 ± 0.5 μg/mL. Furthermore, 14% of newborns had an extrapolated trough concentration of 2.0 μg/mL or more. Conclusions: The current 2.5-mg/kg dosage is appropriate for the neonatal population studied. However, to decrease the number of potentially toxic trough concentrations, the initial dosing interval should be extended to every 18 hours for full-term neonates (>37 weeks gestation) with normal kidney function and for neonates with a gestational age of 36–37 weeks.

scholarly journals Extended-Interval Gentamicin Dosing in Achieving Therapeutic Concentrations in Malaysian Neonates

2015 ◽  
Vol 20 (2) ◽  
pp. 119-127
Author(s):  
Yee Shan Low ◽  
Sin Li Tan ◽  
Angeline SL Wan
Keyword(s):  
Body Weight ◽  
Gestational Age ◽  
Trough Concentration ◽  
Elimination Rate ◽  
Dose Interval ◽  
Pharmacokinetic Analysis ◽  
Pharmacokinetic Parameters ◽  
Creatinine Concentration ◽  
Cross Sectional ◽  
Significant Difference

OBJECTIVE: To evaluate the usefulness of extended-interval gentamicin dosing practiced in neonatal intensive care unit (NICU) and special care nursery (SCN) of a Malaysian hospital. METHODS: Cross-sectional observational study with pharmacokinetic analysis of all patients aged ≤28 days who received gentamicin treatment in NICU/SCN. Subjects received dosing according to a regimen modified from an Australian-based pediatric guideline. During a study period of 3 months, subjects were evaluated for gestational age, body weight, serum creatinine concentration, gentamicin dose/interval, serum peak and trough concentrations, and pharmacokinetic parameters. Descriptive percentages were used to determine the overall dosing accuracy, while analysis of variance (ANOVA) was conducted to compare the accuracy rates among different gestational ages. Pharmacokinetic profile among different gestational age and body weight groups were compared by using ANOVA. RESULTS: Of the 113 subjects included, 82.3% (n = 93) achieved therapeutic concentrations at the first drug-monitoring assessment. There was no significant difference found between the percentage of term neonates who achieved therapeutic concentrations and the premature group (87.1% vs. 74.4%), p = 0.085. A total of 112 subjects (99.1%) achieved desired therapeutic trough concentration of &lt;2 mg/L. Mean gentamicin peak concentration was 8.52 mg/L (95% confidence interval [Cl], 8.13–8.90 mg/L) and trough concentration was 0.54 mg/L (95% CI, 0.48–0.60 mg/L). Mean volume of distribution, half-life, and elimination rate were 0.65 L/kg (95% CI, 0.62–0.68 L/kg), 6.96 hours (95% CI, 6.52–7.40 hours), and 0.11 hour−1 (95% CI, 0.10–0.11 hour−1), respectively. CONCLUSION: The larger percentage of subjects attaining therapeutic range with extended-interval gentamicin dosing suggests that this regimen is appropriate and can be safely used among Malaysian neonates.

The relationship of vancomycin 24-hour AUC and trough concentration

2021 ◽  
Author(s):  
David E Nix ◽  
Lisa E Davis ◽  
Kathryn R Matthias
Keyword(s):  
Trough Concentration ◽  
Elimination Rate ◽  
Compartment Model ◽  
Patient Specific ◽  
Pharmacokinetic Parameters ◽  
Time Curve ◽  
Dosing Interval ◽  
Trough Concentrations ◽  
Relationship Of ◽  
The Relationship

Abstract Disclaimer In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time. Purpose Prior to the 2020 release of a joint consensus guideline on monitoring of vancomycin therapy for serious methicillin-resistant Staphylococcus aureus (MRSA) infections, clinicians had escalated vancomycin doses for 2 decades while targeting trough concentrations of 15 to 20 µg/mL, leading to an increased frequency of nephrotoxicity. For MRSA infections, the 2020 guideline recommends adjusting doses to achieve a 24-hour area under the concentration-time curve (AUC) of 400 to 600 µg · h/mL; however, monitoring of trough concentrations has been entrenched for 3 decades. Calculating dose regimens based on AUC will require obtaining an increased number of vancomycin serum concentrations and, possibly, advanced software. The aim of this investigation was to determine the relationship between AUC and trough concentration and the influence of dosing regimen on goal achievement. Methods The relationship between trough concentration and AUC was explored through derivation of an equation based on a 1-compartment model and simulations. Results 24-hour AUC is related to dosing interval divided by half-life in a nonlinear fashion. The target trough concentration can be individualized to achieve a desired AUC range, and limiting use of large doses (&gt;15-20 mg/kg) can protect against excessive 24-hour AUC with trough-only monitoring. Conclusion After initially determining pharmacokinetic parameters, subsequent monitoring of AUC can be accomplished using trough concentrations only. Trough concentration may be used as a surrogate for AUC, although the acceptable target trough concentration will vary depending on dosing interval and elimination rate constant. This work included development of an AUC-trough equation to establish a patient-specific target for steady-state trough concentration.

Gentamicin Pharmacokinetics in Elderly Patients with Normal Renal Function

1994 ◽  
Vol 10 (1) ◽  
pp. 14-17 ◽  
Author(s):  
Ji M. Koo ◽  
Donald R. Miller ◽  
Charles D. Peterson
Keyword(s):  
Renal Function ◽  
Elderly Patients ◽  
Normal Renal Function ◽  
Medical Center ◽  
Elimination Rate ◽  
The Elderly ◽  
Volume Of Distribution ◽  
Pharmacokinetic Parameters ◽  
Trough Concentrations ◽  
The Mean

Objective: To establish the pharmacokinetic parameters of gentamicin in elderly patients and to compare predicted concentrations based on the Dettli method, with actual concentrations. Design: Measurement of gentamicin concentrations and pharmacokinetic parameters in a consecutive patient sample with comparison to ones predicted by the Dettli method. Setting: Medical and surgical units in a Veterans Affairs Medical Center. Patients: Forty-six consecutive elderly men treated with gentamicin for documented or presumed infection and had stable, normal renal function. Main Outcome Measures: The following information was calculated or measured: elimination rate constant (kel), elimination half-life, volume of distribution (Vd), and peak and trough concentrations. Results: The mean kel (0.16 ± 0.05 h−1) was not significantly different (p=0.2) from the Dettli method prediction, and the mean Vd (0.36 ± 0.1 L/kg) was 37 percent higher than that usually reported. Actual peak and trough concentrations were significantly lower (both p<0.01) than predicted concentrations. Conclusions: Based on our findings, higher than recommended loading doses and longer dosage intervals may be required in the elderly. The Dettli method is useful to estimate kel in the elderly.

Evaluation of an Empirical Dosing Schedule for Gentamicin in Neonates

1988 ◽  
Vol 22 (7-8) ◽  
pp. 618-622 ◽  
Author(s):  
Mary R. Bloome ◽  
Amy J. Warren ◽  
Linda Ringer ◽  
Paul C. Walker
Keyword(s):  
Age Groups ◽  
Elimination Rate ◽  
Volume Of Distribution ◽  
Pharmacokinetic Parameters ◽  
Dosing Schedule ◽  
Significant Relationships ◽  
Trough Serum ◽  
Postconceptional Age ◽  
Trough Concentrations ◽  
Gentamicin Therapy

The standard gentamicin dosing recommendations for neonates appear to be inappropriate because they fail to consider the influence of neonatal development on gentamicin pharmacokinetics. Recent reports have emphasized that the standard regimens of 2.5 mg/kg q8–12h produce steady-state trough serum concentrations > 2 μg/ml in up to 91 percent of preterm infants of less than 35 weeks' gestation. A new dosing schedule based on postconceptional age (PCA) was developed to provide a better guideline for initiating and maintaining gentamicin therapy in neonates: PCA greater than 34 weeks, 2.5 mg/kg iv q12h; PCA 28–34 weeks, 2.5 mg/kg iv q16h; PCA less than 28 weeks, 2.5 mg/kg iv q24h. The new dosing schedule reduced the number of neonates with elevated trough concentrations (>2 μg/ml) from 68.4 percent to 33–40 percent. Pharmacokinetic parameters for gentamicin in the various PCA groups were determined. Volume of distribution was constant across age groups (0.5 ± 0.09 L/kg). Elimination rate constants (kel), half-lives, and clearance rates (Cl) ranged from 0.069 ± 0.02 to 0.14 ± 0.04h−1, 10.71 ± 2.92 to 6.04 ± 1.24 h, and 0.58 ± 0.25 to 0.93 ± 0.24 ml/kg/min, respectively. Significant relationships were found between kel and Cl and patient age and weight; significant correlations were found between actual and estimated (based on PCA and weight) kel and Cl. Variability in kel and Cl estimated was considerable in spite of the correlations. The observed variability stresses again the need for pharmacokinetic monitoring of gentamicin therapy in neonates.

Estimation of Pharmacokinetic Parameters at Steady-State in Patients

1978 ◽  
Vol 12 (10) ◽  
pp. 612-616 ◽  
Author(s):  
James W. Crow ◽  
Milo Gibaldi
Keyword(s):  
Steady State ◽  
Rate Constant ◽  
Elimination Rate ◽  
Simulated Data ◽  
Apparent Volume ◽  
Volume Of Distribution ◽  
Pharmacokinetic Parameters ◽  
Total Clearance ◽  
Dosing Intervals ◽  
Apparent Volume Of Distribution

A method to characterize the pharmacokinetics of a drug in a patient receiving it chronically is proposed. In principle, such characterization may be carried out by obtaining one or more drug concentration in plasma-time values from several different dosing intervals, combining the data to create a composite dosing interval representative of the steady-state situation and fitting the data to an appropriate equation. The method was evaluated using simulated data based on the average pharmacokinetic parameters of theophylline in children. Reasonable estimates of the elimination rate constant and apparent volume of distribution may be obtained, but the estimation of the absorption rate constant presents formidable problems. The method appears to be most useful for obtaining very accurate estimates of total clearance.

scholarly journals Effect of polyaspartic acid on pharmacokinetics of gentamicin after single intravenous dose in the dog.

1996 ◽  
Vol 40 (5) ◽  
pp. 1237-1241 ◽  
Author(s):  
T Whittem ◽  
K Parton ◽  
K Turner
Keyword(s):  
Aspartic Acid ◽  
Elimination Rate ◽  
Volume Of Distribution ◽  
Intravenous Dose ◽  
Pharmacokinetic Parameters ◽  
Therapeutic Drug ◽  
Peripheral Compartment ◽  
Single Intravenous Dose ◽  
Polyaspartic Acid ◽  
Peripheral Tissues

The effects of poly-L-aspartic acid on the pharmacokinetics of gentamicin were examined by using a randomized crossover trial design with the dog. When analyzed according to a three-compartment open model, poly-L-aspartic acid reduced some first-order rate equation constants (A3, lambda 1, and lambda 3), the deep peripheral compartment exit microconstant (k31), the elimination rate constant (k(el)), and the area under the concentration-time curve from 0 to 480 h (AUC0-480) (0.21-, 0.60-, 0.26-, 0.27-, 0.72-, and 0.76-fold, respectively; P < 0.05) but increased the volume of distribution at steady state (Vss), the volume of distribution calculated by the area method (V(area)), the apparent volume of the peripheral compartment (Vp), and all mean time parameters. These results suggested that poly-L-aspartic acid increased the distribution of gentamicin to or binding within the deep peripheral compartment and that poly-L-aspartic acid may have delayed gentamicin transit through the peripheral tissues. In contrast, poly-L-aspartic acid did not alter pharmacokinetic parameters relevant to the central or shallow peripheral compartments to a clinically significant extent. Although gentamicin's pharmacokinetic parameters of relevance to therapeutic drug monitoring were not directly altered, this study has provided pharmacokinetic evidence that poly-L-aspartic acid alters the peripheral distribution of gentamicin. This pharmacokinetic interaction occurred after a single intravenous dose of each drug. Therefore, this interaction should be investigated further, before polyaspartic acid can be considered for use as a clinical nephroprotectant.

Concentration–Effect Relation of Succinylcholine Chloride during Propofol Anesthesia

2002 ◽  
Vol 97 (5) ◽  
pp. 1082-1092 ◽  
Author(s):  
Julie J. Roy ◽  
François Donati ◽  
Daniel Boismenu ◽  
France Varin
Keyword(s):  
Rate Constant ◽  
Plasma Concentrations ◽  
Elimination Rate ◽  
Quantitative Model ◽  
Concentration Effect ◽  
Pharmacokinetic Parameters ◽  
Effect Compartment ◽  
Duration Of Action ◽  
Arterial Blood ◽  
Effect Relation

Background The pharmacokinetics and pharmacodynamics of succinylcholine were studied simultaneously in anesthetized patients to understand why the drug has a rapid onset and short duration of action. A quantitative model describing the concentration-effect relation of succinylcholine was proposed. The correlation between hydrolysis in plasma and elimination was also examined. Methods Before induction of anesthesia, blood was drawn for analysis in seven adults. Anesthesia was induced with propofol and remifentanil. Single twitch stimulation was applied at the ulnar nerve every 10 s, and the force of contraction of the adductor pollicis was measured. Arterial blood was drawn frequently after succinylcholine injection to characterize the front-end kinetics. Plasma concentrations were measured by mass spectrometry, and pharmacokinetic parameters were derived using compartmental and noncompartmental approaches. Pharmacokinetic-pharmacodynamic relations were estimated. Results The mean degradation rate constant in plasma (1.07 +/- 0.49 min(-1)) was not different from the elimination rate constant (0.97 +/- 0.30 min(-1)), and an excellent correlation (r2 = 0.94) was observed. Total body clearance derived using noncompartmental (37 +/- 7 ml x min(-1) x kg(-1)) and compartmental (37 +/- 9 ml x min(-1) x kg(-1)) approaches were similar. The plasma-effect compartment equilibration rate constant (k(eo)) was 0.058 +/- 0.026 min(-1), and the effect compartment concentration at 50% block was 734 +/- 211 ng/ml. Conclusion Succinylcholine is a low-potency drug with a very fast clearance that equilibrates relatively slowly with the effect compartment. Its disappearance is greatly accountable by a rapid hydrolysis in plasma.

Limited Sampling Strategies to Estimate the Area under the Concentration-time Curve

2012 ◽  
Vol 51 (05) ◽  
pp. 383-394 ◽  
Author(s):  
M. Fukumoto ◽  
L. Bax ◽  
A. Kohno ◽  
Y. Morishita ◽  
H. Tsuruta
Keyword(s):  
Rate Constant ◽  
Elimination Rate ◽  
Estimation Method ◽  
Pharmacokinetic Parameters ◽  
Good Precision ◽  
Sampling Strategies ◽  
Time Curve ◽  
New Methods ◽  
Limited Sampling ◽  
Concentration Time

SummaryBackground: Over 100 limited sampling strategies (LSSs) have been proposed to reduce the number of blood samples necessary to estimate the area under the concentration-time curve (AUC). The conditions under which these strategies succeed or fail remain to be clarified.Objectives: We investigated the accuracy of existing LSSs both theoretically and numerically by Monte Carlo simulation. We also proposed two new methods for more accurate AUC estimations.Methods: We evaluated the following existing methods theoretically: i) nonlinear curve fitting algorithm (NLF), ii) the trapezium rule with exponential curve approximation (TZE), and iii) multiple linear regression (MLR). Taking busulfan (BU) as a test drug, we generated a set of theoretical concentration-time curves based on the identified distribution of pharmacokinetic parameters of BU and re-evaluated the existing LSSs using these virtual validation profiles. Based on the evaluation results, we improved the TZE so that unrealistic parameter values were not used. We also proposed a new estimation method in which the most likely curve was selected from a set of pre-generated theoretical concentration-time curves.Results: Our evaluation, based on clinical profiles and a virtual validation set, revealed: i) NLF sometimes overestimated the absorption rate constant Ka, ii) TZE overestimated AUC over 280% when Ka is small, and iii) MLR underestimated AUC over 30% when the elimination rate constant Ke is small. These results were consistent with our mathematical evaluations for these methods. In contrast, our two new methods had little bias and good precision.Conclusions: Our investigation revealed that existing LSSs induce different but specific biases in the estimation of AUC. Our two new LSSs, a modified TZE and one using model concentration-time curves, provided accurate and precise estimations of AUC.

scholarly journals 1552. Correlation Between Vancomycin Serum Trough Concentrations and Area Under the Curve in Pediatric Patients

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S566-S567
Author(s):  
Krista Weaver ◽  
Madan Kumar ◽  
Allison Nelson ◽  
Palak Bhagat
Keyword(s):  
Pediatric Patients ◽  
Retrospective Chart Review ◽  
Primary Study ◽  
Pharmacokinetic Parameters ◽  
Optimal Method ◽  
Study Objective ◽  
Serum Trough ◽  
Trough Concentrations ◽  
Group 2 ◽  
Group 1

Abstract Background Despite years of experience with vancomycin (VAN), the optimal method to monitor VAN therapy in pediatric patients is still unknown. Recent pediatric data indicate serum trough concentrations lower than 10–20 mg/L or 15–20 mg/L based on indication may achieve an AUC24> 400 mg hours/L. The primary study objective was to compare AUC24 to goal VAN serum trough concentrations (STC). Methods A retrospective chart review of pediatric patients who received intravenous VAN June 1, 2018 to December 31, 2018 was completed. AUC24 was calculated using a trapezoidal method with 2 steady-state serum concentrations. A serum peak concentration was drawn 1 hour and 15 minutes following the end of infusion and an STC was drawn 30 minutes prior to infusion. Results During 25 admissions, 12 patients had a first AUC24 at goal and 13 patients had a first AUC24 below goal. Of 41 AUC24 calculations, 27 AUC24s were ≥400 mg hours/L (group 1), and 14 AUC24s were <400 mg hours/L (group 2). Median AUC24 was 561 mg hours/L for group 1 vs. 344.5 mg hours/L for group 2 (P < 0.001). Correlating Cmin and Ctrough (Ctr) for group 1 and group 2 were 12 mg/L and 13.5 mg/L vs. 6.4 mg/L and 7.3 mg/L, respectively (P < 0.001). Figure 1 shows the pharmacokinetic parameters for each group. Spearman correlation between AUC24 and Cmin was 0.87. Of the 35 subtherapeutic VAN STCs, 20 (57.1%) achieved an AUC24 ≥400 mg hours/L (P = 0.08). Subgroup analysis of AUC24 400–600 mg hours/L showed a median AUC24 of 519 mg hours/L with correlating Cmin and Ctr of 10.6 mg/L and 11.9 mg/L, respectively. The MIC was <1 in 90.9% of cases (Figure 2). The mean VAN dose required to achieve an AUC24 ≥400 mg hours/L was 77.7 mg/kg/day; dosing frequency did not appear to affect AUC24 outcome. Time to culture clearance was 2 days in group 1 and 6.5 days in group 2 (P = 0.24). No cases of nephrotoxicity were identified despite AUC24 values ranging from 265–1294 mg hours/L. Conclusion AUC24 monitoring using a 2-sample trapezoidal method was successfully implemented at this institution. The results of this study align with previous pediatric studies, supporting the use of lower serum trough concentration goals of 10–15 mg/L. Disclosures All authors: No reported disclosures.

Pharmacokinetics of Intermittent Intraperitoneal Cefazolin in Continuous Ambulatory Peritoneal Dialysis Patients

1999 ◽  
Vol 19 (1) ◽  
pp. 65-70 ◽  
Author(s):  
Harold J. Manley ◽  
George R. Bailie ◽  
Rupesh D. Asher ◽  
George Eisele ◽  
Reginald F. Frye
Keyword(s):  
Body Weight ◽  
Peritoneal Dialysis ◽  
Continuous Ambulatory Peritoneal Dialysis ◽  
Rate Constant ◽  
Half Life ◽  
Elimination Rate ◽  
Pharmacokinetic Parameters ◽  
Number Of Patients ◽  
The Mean ◽  
Concentration Levels

Objective To investigate the pharmacokinetic parameters of intermittent intraperitoneal (IP) cefazolin, and recommend a cefazolin dosing regimen in continuous ambulatory peritoneal dialysis (CAPD) patients. Design Prospective nonrandomized open study. Setting CAPD outpatient clinic in Albany, New York. Patients Seven volunteer CAPD patients without peritonitis. Three of the patients were nonanuric while 4 were anuric. Interventions Cefazolin (15 mg/kg total body weight) was given to each patient during the first peritoneal exchange. Blood and dialysate samples were collected at times 0, 0.5, 1, 2, 3, 6 (end of the first antibiotic-containing dwell), 24, and 48 hours after the administration of IP cefazolin. Urine samples were collected in nonanuric patients over the study period. Results The mean ± SD amount of cefazolin dose absorbed from the dialysate after the 6-hour dwell was 69.7% ± 8.0% of the administered dose. The cefazolin absorption rate constant from dialysate to serum was 0.21 ± 0.1 /hr (absorption half-life 3.5 ± 0.8 hr). The mean serum concentrations reached at 24 and 48 hours were 52.4 ± 3.7 mg/L and 30.3 ± 5.9 mg/L, respectively. The mean dialysate cefazolin concentrations reached at 24 and 48 hours were 15.1 ± 3.4 mg/L and 7.9 ± 1.4 mg/L, respectively. The cefazolin serum elimination rate constant was 0.02 ± 0.01 /hr (elimination half-life 31.5 ± 8.8 hr). The total cefazolin body clearance was 3.4 ± 0.6 mL/min. In the 3 nonanuric patients the mean renal clearance of cefazolin was 0.6 ± 0.4 mL/min. The peritoneal clearance of cefazolin was 1.0 ± 0.3 mL/min. The systemic volume of distribution of cefazolin was 0.2 ± 0.05 L/kg. No statistical difference was detected in pharmacokinetic parameters between anuric and nonanuric patients, although this may be due to the small number of patients in each group. Conclusion A single daily dose of cefazolin dosed at 15 mg/kg actual body weight in CAPD patients is effective in achieving serum concentration levels greater than the minimum inhibitory concentration for sensitive organisms over 48 hours, and dialysate concentration levels over 24 hours. Caution is warranted in extrapolation of dosing recommendations to patients who maintain a significant degree of residual renal function.

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