Infection and drug resistance
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To compare the therapeutic effect of pivmecillinam and other common oral antibiotics for community-acquired urinary tract infections (UTIs) caused by Extended Spectrum Beta-Lactamase (ESBL)- or non-ESBL-producing Escherichia coli. ⋯ All antibiotics seem to have a higher risk of treatment failure for UTI caused by ESBL-producing E. coli as compared to non-ESBL-producing E. coli. At present, nitrofurantoin and pivmecillinam seem to be the most relevant orally available therapies for E. coli UTI. Local resistance data should guide which of the two that should be the contemporary first-line option.
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Purpose: Nosocomial pneumonia is a common nosocomial infection that includes hospital-acquired pneumonia (HAP) and ventilator-associated pneumonia(VAP). It is an important cause of morbidity and mortality in hospitalized patients. This study aimed to evaluate the differences in microbial etiology and outcomes between HAP and VAP, particularly in related risk factors of multidrug-resistant organism (MDRO) causing HAP and VAP. ⋯ Conclusion: The leading pathogens were similar in both HAP and VAP, and antimicrobial susceptibility of the pathogens was low. The risk factors associated with MDRO infection in HAP and VAP have significant variability; hence, attention should be paid to improve prognosis. VAP was associated with poorer outcomes compared with HAP.
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Background: Spoligotyping is a reproducible, reverse hybridization approach for genotyping of Mycobacterium tuberculosis complex (MTBC). Molecular typing of MTBC is helpful for understanding and controlling tuberculosis epidemics. Methods: Spoligotyping was performed on 166 clinical isolates of Mycobacterium tuberculosis (MTB) collected from 25 districts of Khyber Pakhtunkhwa, Pakistan. ⋯ Conclusion: The present study demonstrated that L3/CAS is the predominant lineage of MTB, widely distributed in different areas of the Khyber Pakhtunkhwa province of Pakistan. Spoligotyping patterns of some clinical isolates could not be matched to other reported patterns in an international database. Other tools, such as mycobacterial interspersed repetitive unit-variable number tandem repeat (MIRU-VNTR), will be helpful in future investigations into the epidemiological characteristics of clinical isolates in the Khyber Pakhtunkhwa province.
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Objectives: To update the epidemiology and susceptibility of hospital-acquired (HA) and community-acquired (CA), as well as intensive care unit (ICU) vs non-ICU-derived intra-abdominal infection (IAI) and urinary tract infection (UTI) pathogens in Chinese hospitals. Methods: A total of 2,546 Gram-negative isolates from IAIs and 1,947 isolates from UTIs collected in 16 hospitals and 7 regions of China from 2016 to 2017 were analyzed. Results:E. coli and K. pneumoniae were the most common pathogens identified in HA (40.7%, 21.9%) and CA (49.2%, 21.3%) IAIs and in HA (59.0%, 17.3%) and CA (64.3%, 12.7%) UTIs, respectively. ⋯ Overall, percentages of susceptible strains to ETP, IPM, AMK, and Piperacillin-Tazobactam (TZP) were in the range of 82.0% to 96.4%, to 5 cephalosporins in the range of 31.4%-69.6% and to 2 fluoroquinolones in the range of 37.8%-45.5% for E. coli and 65.5%-90.7%, 37.7%-75.3%, and 43.9%-73.2% for K. pneumoniae, respectively. Conclusion:E. coli and K. pneumoniae continued to be the main pathogens in Chinese UTIs and IAIs with high ESBL-positive rates between 2016 and 2017. Carbapenem- or amikacin-based therapies were the most effective to combat IAI and UTI pathogens.
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Antibiotic prescriptions at emergency departments (ED) could be a primary contributing factor to the overuse of antimicrobial agents and subsequently antimicrobial resistance. The aim of this study was to describe the pattern of antibiotic prescriptions at an emergency department of a tertiary care hospital in Saudi Arabia. ⋯ The average number of drugs per encounter in general and antibiotics per encounter in specific at this setting was lower than the standard value. However, the percentage of antibiotics prescribed by its generic name was less than optimal.