VENKATA YELLEPEDDI

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Associate Professor

University of Utah
Country flagUnited States

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About

Dr. Venkata Yellepeddi is an Associate Professor at the University of Utah, USA. His research focuses on pharmacokinetics and pharmacodynamics, particularly in the context of intricate drug therapies for conditions such as cystic fibrosis and arrhythmias. He has published extensively on modeling approaches for drug dosing in various patient populations, including children on ECMO and lactating cannabis users.

Recent Grants

Grant: Close

Potency and Stability of Compounded Preparations

Open Date: 2014-03-01

Close Date: 2016-06-01

Grant: Close

FORMULATION AND STABILITY STUDIES OF A PRESERVATIVE FREE PROCHLORPERAZINE NASAL SPRAY FOR PAIN RELIEF IN MIGRAINE

Open Date: 2013-04-01

Close Date: 2015-04-01

Grant: Close

Omega - 3 Fatty Acid Conjugated Nanoconstructs for Targeted Delivery of Paclitaxel

Open Date: 2013-03-01

Close Date: 2014-11-01

Articles (11)

Year:

2025

Vancomycin is the first-line agent to treat pulmonary infections caused by methicillin-resistant Staphylococcus aureus (MRSA) in people with cystic fibrosis (PwCF). However, there is no consensus on vancomycin initial dosing in this population among health institutions, and there is a large variability in initial dosing across the United States. In this study, we characterized the pharmacokinetics (PK) of vancomycin in PwCF using a population PK approach. The clinical PK data to develop the population PK model were obtained from vancomycin therapeutic monitoring data from PwCF undergoing treatment for infections due to MRSA. The population PK model was then used to perform comprehensive Monte Carlo simulations to evaluate the probability of target attainment (PTA) of 12 different initial dosing scenarios. The area under the curve to minimum inhibitory concentration (MIC) ratio ≥400 mg*h/L and <650 mg*h/L were used as efficacy and toxicity targets for PTA analysis. A total of 181 vancomycin plasma concentrations were included in the analysis. A one-compartment model with first-order elimination best described the data. Weight significantly influenced the vancomycin PK ( P < 0.05). In the final model, clearance was estimated as 5.52 L/h/70 kg, and the volume of distribution was 31.5 L/70 kg. The PTA analysis showed that at MIC = 1 µg/mL, doses 1,500 q8h and 2,000 q12h showed the highest %PTA in achieving both efficacy and toxicity targets. The PTA results from this study may potentially inform the initial dosing regimens of vancomycin to treat pulmonary infections due to MRSA in PwCF.

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2020

Year:

2020

Collaborators (8)

Robert Ward

Professor

University of Utah

UNITED STATES
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Tallie Casucci

University of Utah

UNITED STATES
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Bryn Loutzenhiser

Assistant Professor

University of Colorado Anschutz Medical Campus

UNITED STATES
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Autumn McKnite

University of Utah

UNITED STATES
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Joseph Rower

Research Assistant Professor

University of Utah Health

UNITED STATES
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Simon Davies

University of Toronto

CANADA
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Mathangi Gopalakrishnan

-

UNITED STATES
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David C. Young

University of Utah Health

UNITED STATES
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