Sepsis is a leading cause of neonatal morbidity and mortality worldwide, especially in low- and middle- income countries (LMIC). It is estimated to cause almost 1 million deaths that accounts for more than 25.0% of neonatal deaths worldwide.
View Article and Find Full Text PDFspecies lacking toxin genes (non-toxigenic or NTCD) may confer protection against CDI. However, current diagnostic tests detect either toxin proteins or toxin genes and cannot detect NTCD. This study developed a molecular testing method that uniquely identified NTCD and assessed its prevalence in a clinical cohort.
View Article and Find Full Text PDFThis cross-sectional study was conducted in Department of Paediatrics, Mymensingh Medical College Hospital (MMCH), Bangladesh from February 2016 to December 2016 to detect massive proteinuria by spot urinary protein creatinine ratio as an alternative diagnostic test to 24 hrs urinary total protein in nephrotic syndrome. Fifty one (51) children aged 2 to 12 years admitted with 1st episode of nephrotic syndrome in the pediatric department of MMCH were included in this by purposive sampling technique. All the patients were asked to give a 24 hours urine sample.
View Article and Find Full Text PDFIntroduction: Undernutrition during pregnancy is linked to adverse pregnancy and birth outcomes and has downstream effects on the growth and development of children. The gut microbiome has a profound influence on the nutritional status of the host. This phenomenon is understudied in settings with a high prevalence of undernutrition, and further investigation is warranted to better understand such interactions.
View Article and Find Full Text PDFThe Internet of Medical Things (IoMT) has significantly advanced healthcare, but it has also brought about critical security challenges. Traditional security solutions struggle to keep pace with the dynamic and interconnected nature of IoMT systems. Machine learning (ML)-based Intrusion Detection Systems (IDS) have been increasingly adopted to counter cyberattacks, but centralized ML approaches pose privacy risks due to the single points of failure (SPoFs).
View Article and Find Full Text PDF