-
McFadden Rooney posted an update 2 weeks, 1 day ago
The molecular epidemiology of resistance of carbapenem-resistant Enterobacteriaceae (CRE) and Pseudomonas aeruginosa are important in the study of multidrug-resistant bacteria. We evaluate the prevalence of the different mechanisms of CRE in a hospital in Saudi Arabia.
Carbapenem non-susceptible isolates of Enterobacteriaceae and Pseudomonas aeruginosa were tested by real-time PCR for the detection of genes responsible for beta-lactam resistance.
There were a total of 200 isolates with carbapenem non-susceptibility and these were Klebsiella pneumoniae (n=96, 48%), Escherichia coli (n=51, 25.5%) and Pseudomonas aeruginosa (n=45, 22.5%). The detected carbapenemases were oxacillinase-48 (OXA-48) (n=83, 41.5%), New Delhi metallo-β-lactamase (NDM) (n=19, 2.5%) and both NDM and OXA-48 (n=5, 2.5%). The other carbapenemases were imipenemase (n=1, 0.5%), Verona integrin encoded metallo-β-lactamase (n=6, 3%) and Klebsiella pneumoniae carbapenemase (n=1, 0.5%), but none were detected in 86 isolates (43%).
The most common carbapenemases were OXA-48 and a significant percentage had no detectable genes. These data will help in the selection of new antimicrobial therapies.
The most common carbapenemases were OXA-48 and a significant percentage had no detectable genes. These data will help in the selection of new antimicrobial therapies.
Male circumcision (MC) offers men lifelong partial protection from heterosexually acquired HIV infection. click here The impact of MC on HIV incidence has not been quantified in nationally representative samples. Data from the population-based HIV impact assessments were used to compare HIV incidence by MC status in countries implementing voluntary medical MC (VMMC) programs.
Data were pooled from population-based HIV impact assessments conducted in Eswatini, Lesotho, Malawi, Namibia, Tanzania, Uganda, Zambia, and Zimbabwe from 2015 to 2017. Incidence was measured using a recent infection testing algorithm and analyzed by self-reported MC status distinguishing between medical and nonmedical MC. Country, marital status, urban setting, sexual risk behaviors, and mean population HIV viral load among women as an indicator of treatment scale-up were included in a random-effects logistic regression model using pooled survey weights. Analyses were age stratified (15-34 and 35-59 years). Annualized incidence rates and 95% confidence intervals (CIs) and incidence differences were calculated between medically circumcised and uncircumcised men.
Men 15-34 years reporting medical MC had lower HIV incidence than uncircumcised men [0.04% (95% CI 0.00% to 0.10%) versus 0.34% (95% CI 0.10% to 0.57%), respectively; P value = 0.01]; whereas among men 35-59 years, there was no significant incidence difference [1.36% (95% CI 0.32% to 2.39%) versus 0.55% (95% CI 0.14% to 0.67%), respectively; P value = 0.14].
Medical MC was associated with lower HIV incidence in men aged 15-34 years in nationally representative surveys in Africa. These findings are consistent with the expected ongoing VMMC program impact and highlight the importance of VMMC for the HIV response in Africa.
Medical MC was associated with lower HIV incidence in men aged 15-34 years in nationally representative surveys in Africa. These findings are consistent with the expected ongoing VMMC program impact and highlight the importance of VMMC for the HIV response in Africa.
Prior studies have measured accelerated aging in people with HIV using a DNA methylation (DNAm)-based biomarker of aging, “epigenetic age,” but data are limited in African American (AA) young adults with perinatally acquired HIV infection (PHIV).
We performed a cross-sectional study of AA young adults aged 20-35 years with PHIV (N = 31) and seronegative controls (N = 30) using DNAm measured in whole blood and cognitive function measured by the NIH Toolbox. Illumina EPIC array was used to measure DNAm age and accelerated aging markers including epigenetic age acceleration (EAA), as well as extrinsic (EEAA) and intrinsic (IEAA) EAA.
PHIV and controls did not differ by sex (45 vs. 43% male), chronological age (26.2 vs. 28.0 years), or ethnicity. Chronological age and DNAm age were correlated (r = 0.56, P < 0.01). PHIV had a higher mean EAA (2.86 ± 6.5 vs. -2.96 ± 3.9, P < 0.01) and EEAA (4.57 ± 13.0 vs. -4.72 ± 6.0, P < 0.01) than controls; however, IEAA was not different between groups. Among PHIV, EAA and EEAA were higher in those with HIV viral load ≥50 copies/mL than <50 copies/mL (EEA 8.1 ± 5.2 vs. 0.11 ± 5.5, P = 0 < 0.01 and EEAA 16.1 ± 10.6 vs. -1.83 ± 9.7, P < 0.01). We observed negative correlations (r = -0.36 to -0.31) between EEAA and executive function, attention, and language scores.
In conclusion, EAA in blood was observed in AA young adults with PHIV on ART using 2 measures, including EEAA which upweights the contribution of immunosenescent cell types. However, there was no evidence of age acceleration with a measure independent of cell type composition.
In conclusion, EAA in blood was observed in AA young adults with PHIV on ART using 2 measures, including EEAA which upweights the contribution of immunosenescent cell types. However, there was no evidence of age acceleration with a measure independent of cell type composition.
Renal involvement in COVID-19 is less well characterized in settings with vigilant public health surveillance, including mass screening and early hospitalization. We assessed kidney complications among COVID-19 patients in Hong Kong, including the association with risk factors, length of hospitalization, critical presentation, and mortality.
Linked electronic records of all patients with confirmed COVID-19 from 5 major designated hospitals were extracted. Duplicated records due to interhospital transferal were removed. Primary outcome was the incidence of in-hospital acute kidney injury (AKI). Secondary outcomes were AKI-associated mortality, incident renal replacement therapy (RRT), intensive care admission, prolonged hospitalization and disease course (defined as >90th percentile of hospitalization duration [35 days] and duration from symptom onset to discharge [43 days], respectively), and change of estimated glomerular filtration rate (GFR). Patients were further stratified into being symptomatic or asymptomatic.