Introduction: A caesarean section (CS) is one of the most frequently performed obstetric surgeries in the world and its use has increased dramatically in recent years. The number of caesarean section cases worldwide h...
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Introduction: A caesarean section (CS) is one of the most frequently performed obstetric surgeries in the world and its use has increased dramatically in recent years. The number of caesarean section cases worldwide has been increasing each year, and the World Health Organization (WHO) reported an excess of 10% - 15% of CS procedures for all births. However, some women experience surgical site infections (SSIs) after undergoing CS delivery. This study investigated the prescribing patterns of antibiotics in CS deliveries and the prevalence of SSIs at two tertiary hospitals in Lusaka, Zambia. Materials and Methods: A retrospective cross-sectional study was conducted from January 2020 to December 2020 at the Women and Newborn University Teaching Hospital (UTH) and the levy Mwanawasa University Teaching Hospital, in Lusaka, Zambia. Results: Of a total of 838 women who delivered via CS, more than half were aged between 21 and 25 years (n = 461, 55.0%), 56.3% were from low-cost residential areas, and 57% had emergency CS delivery. The prevalence of SSIs was 6.0%, with the level of education (OR 0.377, 95% CI 0.150 - 0.946), type of caesarean section (OR 6.253, 95% CI 2.833 - 13.803), and oral antibiotics post-caesarean (OR 0.218, 95% CI 0.049 - 0.963). The duration of IV antibiotic treatment significantly predicted SSI (p Conclusion: This study found that the third-generation cephalosporin (cefotaxime) and triple combination therapy (benzylpenicillin, gentamicin, and metronidazole) were the most frequently prescribed antibiotics before and after CS. The level of education, type of CS, oral antibiotics post-CS, facility, and duration of administering IV antibiotics were all predictors of SSIs.
<正>Background/Aims:Nitric Oxide (NO) and its interrelated redox species (collectively denoted as NOx) play a multi - faceted role in cancer progression. NOx production induces mutational events,and it has also ...
<正>Background/Aims:Nitric Oxide (NO) and its interrelated redox species (collectively denoted as NOx) play a multi - faceted role in cancer progression. NOx production induces mutational events,and it has also been found to simultaneously inhibit apoptosis. In an effort to define the underlying mechanisms of apoptosis inhibition arising from nitric oxide exposure, we here develop a novel mouse model of lung adenocarcinoma. Methods: Four NOx donor compounds (DETA - NONOate, Spermine - NONOate, SNAP, and glyco - SNAP) were exposed to a novel murine lung adenocarcinoma cell line at increasing *** extent of NOx production was measured by the Griess reaction,spectrophotometrically,and via nitrotyrosine *** alkaline single- cell gel electrophoresis assay (the COMET assay) was used to measure DNA strand breaks (DSB’ s) and was correlated with cell viability. A fluorescence caspase activity assay was used to determine apoptosis and was correlated with apoptosis - related gene products using cDNA microarrays. Results:Kinetics,concentration,and mode of delivery all had an effect on NOx mediated DSB’s. At the highest concentration of NONOate donors, the DSB’ s correlated with cell death in a caspase - 9 dependent fashion. Caspase -9 activity appeared to be inhibited by thiol - based NOx donors, and since DTT reversed NO’s effect of apoptosis, inhibition is believed to have occurred via a S - nitrosylation pathway. This change in caspase activity was found to correlate with a number of transcriptional changes, suggesting that several key apoptosis steps are likely under transcriptional control via S - nitrosylation. Conclusions: The results of our murine model of lung cancer progression were found to parallel those previously reported in a human lung adenocarcinoma cell line. The model suggests that various apoptosis related gene products are likely regulated through S - nitrosylation in a caspase - 9 dependent manner. With this model in hand, we c
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