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  • 1
    In: Critical Care Explorations, Ovid Technologies (Wolters Kluwer Health), Vol. 5, No. 4 ( 2023-04), p. e0881-
    Type of Medium: Online Resource
    ISSN: 2639-8028
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2023
    detail.hit.zdb_id: 3015728-6
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  • 2
    Online Resource
    Online Resource
    Wiley ; 2023
    In:  Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy Vol. 43, No. 12 ( 2023-12), p. 1240-1250
    In: Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy, Wiley, Vol. 43, No. 12 ( 2023-12), p. 1240-1250
    Abstract: Levocarnitine (L‐carnitine) has shown promise as a metabolic‐therapeutic for septic shock, where mortality approaches 40%. However, high‐dose (≥ 6 grams) intravenous supplementation results in a broad range of serum concentrations. We sought to describe the population pharmacokinetics (PK) of high‐dose L‐carnitine, test various estimates of kidney function, and assess the correlation of PK parameters with pre‐treatment metabolites in describing drug response for patients with septic shock. Design Population PK analysis was done with baseline normalized concentrations using nonlinear mixed effect models in the modeling platform Monolix. Various estimates of kidney function, patient demographics, dose received, and organ dysfunction were tested as population covariates. Data Source We leveraged serum samples and metabolomics data from a phase II trial of L‐carnitine in vasopressor‐dependent septic shock. Serum was collected at baseline (T0); end‐of‐infusion (T12); and 24, 48, and 72 h after treatment initiation. Patients and Intervention Patients were adaptively randomized to receive intravenous L‐carnitine (6 grams, 12 grams, or 18 grams) or placebo. Measurements and Main Results The final dataset included 542 serum samples from 130 patients randomized to L‐carnitine. A two‐compartment model with linear elimination and a fixed volume of distribution (17.1 liters) best described the data and served as a base structural model. Kidney function estimates as a covariate on the elimination rate constant (k) reliably improved model fit. Estimated glomerular filtration rate (eGFR), based on the 2021 Chronic Kidney Disease Epidemiology collaboration (CKD‐EPI) equation with creatinine and cystatin C, outperformed creatinine clearance (Cockcroft‐Gault) and older CKD‐EPI equations that use an adjustment for self‐identified race. Conclusions High‐dose L‐carnitine supplementation is well‐described by a two‐compartment population PK model in patients with septic shock. Kidney function estimates that leverage cystatin C provided superior model fit. Future investigations into high‐dose L‐carnitine supplementation should consider baseline metabolic status and dose adjustments based on renal function over a fixed or weight‐based dosing paradigm.
    Type of Medium: Online Resource
    ISSN: 0277-0008 , 1875-9114
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 2061167-5
    SSG: 15,3
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  • 3
    In: Clinical and Translational Science, Wiley, Vol. 14, No. 6 ( 2021-11), p. 2288-2299
    Abstract: Sepsis‐induced metabolic dysfunction contributes to organ failure and death. L‐carnitine has shown promise for septic shock, but a recent phase II study of patients with vasopressor‐dependent septic shock demonstrated a non‐significant reduction in mortality. We undertook a pharmacometabolomics study of these patients ( n  = 250) to identify metabolic profiles predictive of a 90‐day mortality benefit from L‐carnitine. The independent predictive value of each pretreatment metabolite concentration, adjusted for L‐carnitine dose, on 90‐day mortality was determined by logistic regression. A grid‐search analysis maximizing the Z‐statistic from a binomial proportion test identified specific metabolite threshold levels that discriminated L‐carnitine responsive patients. Threshold concentrations were further assessed by hazard ratio and Kaplan‐Meier estimate. Accounting for L‐carnitine treatment and dose, 11 1 H‐NMR metabolites and 12 acylcarnitines were independent predictors of 90‐day mortality. Based on the grid‐search analysis numerous acylcarnitines and valine were identified as candidate metabolites of drug response. Acetylcarnitine emerged as highly viable for the prediction of an L‐carnitine mortality benefit due to its abundance and biological relevance. Using its most statistically significant threshold concentration, patients with pretreatment acetylcarnitine greater than or equal to 35 µM were less likely to die at 90 days if treated with L‐carnitine (18 g) versus placebo ( p  = 0.01 by log rank test). Metabolomics also identified independent predictors of 90‐day sepsis mortality. Our proof‐of‐concept approach shows how pharmacometabolomics could be useful for tackling the heterogeneity of sepsis and informing clinical trial design. In addition, metabolomics can help understand mechanisms of sepsis heterogeneity and variable drug response, because sepsis induces alterations in numerous metabolite concentrations.
    Type of Medium: Online Resource
    ISSN: 1752-8054 , 1752-8062
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2021
    detail.hit.zdb_id: 2433157-0
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