S
Scott K. Heysell
Researcher at University of Virginia
Publications - 145
Citations - 2181
Scott K. Heysell is an academic researcher from University of Virginia. The author has contributed to research in topics: Tuberculosis & Medicine. The author has an hindex of 24, co-authored 110 publications receiving 1595 citations. Previous affiliations of Scott K. Heysell include Yale University.
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Journal ArticleDOI
Therapeutic drug monitoring for slow response to tuberculosis treatment in a state control program, Virginia, USA.
TL;DR: TOC summary: Diabetes was associated with increased risk for slow response and low rifampin levels.
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Understanding pharmacokinetics to improve tuberculosis treatment outcome
TL;DR: Operationalizing pharmacokinetics has the potential to improve TB outcomes in the most difficult-to-treat forms of the disease such as multidrug resistance and clinical studies in these areas are eagerly anticipated and are expected to better define the rational introduction of novel therapeutics.
Journal ArticleDOI
Discordance across Several Methods for Drug Susceptibility Testing of Drug-Resistant Mycobacterium tuberculosis Isolates in a Single Laboratory
Sayera Banu,S. M. Mazidur Rahman,M. Siddiqur Rahman Khan,Sara Sabrina Ferdous,Shahriar Ahmed,Jean Gratz,Suzanne Stroup,Suporn Pholwat,Scott K. Heysell,Eric R. Houpt +9 more
TL;DR: Phage qPCR and the MycoTB MIC plate were the only methods that yielded second-line susceptibilities and revealed significant quantitative correlations for all drugs except cycloserine, as well as moderate to excellent kappa coefficients for all Drugs except for para-aminosalicylic acid.
Journal ArticleDOI
Increasing Drug Resistance in Extensively Drug-Resistant Tuberculosis, South Africa
N. Sarita Shah,Jessica Richardson,Prashini Moodley,Salona Moodley,Palav Babaria,Melissa Ramtahal,Scott K. Heysell,Xuan Li,Anthony P. Moll,Gerald Friedland,A. Willem Sturm,Neel R. Gandhi +11 more
TL;DR: Of 19 patients with extensively drug-resistant TB identified during February 2008–April 2009, 13 (68%) had isolates resistant to all 8 drugs tested, which leaves no effective treatment with available drugs in South Africa.
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Levofloxacin Pharmacokinetics/Pharmacodynamics, Dosing, Susceptibility Breakpoints, and Artificial Intelligence in the Treatment of Multidrug-resistant Tuberculosis
Devyani Deshpande,Jotam G. Pasipanodya,Stellah G. Mpagama,Paula Bendet,Shashikant Srivastava,Thearith Koeuth,Pooi S Lee,Sujata M. Bhavnani,Paul G. Ambrose,Guy E. Thwaites,Guy E. Thwaites,Scott K. Heysell,Tawanda Gumbo +12 more
TL;DR: An ensemble of artificial intelligence algorithms were used to identify the most important predictors of sputum conversion, ADR, and death in Tanzanian patients with pulmonary multidrug-resistant tuberculosis treated with a levofloxacin-containing regimen.