Dose optimization of piperacillin/tazobactam, cefepime, and ceftazidime for carbapenem-resistant Pseudomonas aeruginosa isolates in Türkiye.

Introduction: Although CRPA may test susceptible to other β-lactams such as ceftazidime (CAZ), cefepime (FEP), and piperacillin/tazobactam (TZP), reduced potency has been observed. We assessed the adequacy of EUCAST Susceptible (S) or Susceptible Increased Exposure (SIE)/(I) doses for CAZ, FEP, and TZP against CRPA clinical isolates.

Methods: CRPA isolates were collected from patients at three Turkish hospitals.

Population structure analysis of Phlebotomus papatasi populations using transcriptome microsatellites: possible implications for leishmaniasis control and vaccine development.

Background: Phlebotomus papatasi is considered the primary vector of Leishmania major parasites that cause zoonotic cutaneous leishmaniasis (ZCL) in the Middle East and North Africa. Phlebotomus papatasi populations have been studied extensively, revealing the existence of different genetic populations and subpopulations over its large distribution range. Genetic diversity and population structure analysis using transcriptome microsatellite markers is important to uncover the vector distribution dynamics, essential for controlling ZCL in endemic areas.

Molecular survey of pfmdr-1, pfcrt, and pfk13 gene mutations among patients returning from Plasmodium falciparum endemic areas to Turkey.

Background: In recent years, there has been an increasing trend in the number of imported Plasmodium falciparum cases in Turkey. To improve treatment success and to better understand malaria epidemiology among imported cases, it is necessary to determine anti-malarial drug resistance. This study aimed to survey polymorphisms of resistance genes in imported P.

Determination of the presence of carbapenemase enzymes in carbapenem-resistant Pseudomonas aeruginosa isolates by susceptibility test based algorithm.

Purpose: Phenotypic methods have been proposed for the detection of carbapenemase production. These tests can have slower turnaround times. With the sensitivity-based algorithm described by Gill et al.