Identifying Risk Factors for Healthcare-Associated Infections Caused by Carbapenem-Resistant Acinetobacter baumannii in a Neonatal Intensive Care Unit

Objectives: Acinetobacter baumannii is a causative pathogen of various healthcare-associated infections (HAIs) and is particularly prevalent in high-risk hospital settings. This study aimed to determine risk factors associated with HAIs caused by carbapenem-resistant A. baumannii (CRAB) in a neonatal intensive care unit (NICU). Methods: This prospective study was performed between January 2013 and June 2014 among NICU patients at the Mansoura University Children’s Hospital, Mansoura, Egypt. Neonates who developed HAIs due to CRAB were assigned to a case group, while those infected with carbapenem-sensitive A. baumannii (CSAB) were assigned to a control group. Results: Among the 124 neonates who developed A. baumannii-caused HAIs during the study period, 91 (73.4%) were caused by CRAB and 33 (26.6%) were caused by CSAB. Prematurity, premature rupture of the membranes (PROM), a previous stay in another hospital, prolonged NICU stay, the presence of invasive devices, previous exposure to carbapenems or aminoglycosides and prolonged antibiotic therapy before infection were significantly associated with CRAB-caused HAIs. A multivariate logistic regression analysis identified prematurity (adjusted odds ratio [aOR] = 25.3; P <0.01), mechanical ventilation (aOR = 18.9; P <0.01) and the previous use of carbapenems (aOR = 124.7; P <0.01) or aminoglycosides (aOR = 22.6; P = 0.04) to be independent risk factors for CRAB infections. Conclusion: Various risk factors were significantly associated with CRAB-caused HAIs among the studied NICU patients

MapReduce Model Using FPGA Acceleration for Chromosome Y Sequence Mapping

Genome assemblies sequenced by a Whole Genome Shotgun (WGS) project predict an organism&#x2019;s function and history. Sequence alignment is the foundation of bioinformatics by a computational search through large genome sequence databases, which generally requires enormous amounts of memory and takes a long execution time. In this paper, an Optimized Smith-Waterman algorithm based on the Gotoh algorithm with an affine gap for accuracy alignment, the divide and conquer technique, and the MapReduce framework implemented to establish a parallel process. This model was implemented on Virtex 7 field-programmable gate arrays (FPGAs). These techniques provide a better performance, reduce the hardware requirements, improve the accuracy, increase the computational throughput, and accelerate the alignment process for big data available in a complete Y chromosome. The hardware proposed system can achieve high performance, low time consumption 1.699 ns, and decrease FPGA utilization for big data alignments Y chromosome is used as an example

Surgical site infection after gastrointestinal surgery in children: An international, multicentre, prospective cohort study

Introduction Surgical site infection (SSI) is one of the most common healthcare-associated infections (HAIs). However, there is a lack of data available about SSI in children worldwide, especially from low-income and middle-income countries. This study aimed to estimate the incidence of SSI in children and associations between SSI and morbidity across human development settings. Methods A multicentre, international, prospective, validated cohort study of children aged under 16 years undergoing clean-contaminated, contaminated or dirty gastrointestinal surgery. Any hospital in the world providing paediatric surgery was eligible to contribute data between January and July 2016. The primary outcome was the incidence of SSI by 30 days. Relationships between explanatory variables and SSI were examined using multilevel logistic regression. Countries were stratified into high development, middle development and low development groups using the United Nations Human Development Index (HDI). Results Of 1159 children across 181 hospitals in 51 countries, 523 (45·1%) children were from high HDI, 397 (34·2%) from middle HDI and 239 (20·6%) from low HDI countries. The 30-day SSI rate was 6.3% (33/523) in high HDI, 12·8% (51/397) in middle HDI and 24·7% (59/239) in low HDI countries. SSI was associated with higher incidence of 30-day mortality, intervention, organ-space infection and other HAIs, with the highest rates seen in low HDI countries. Median length of stay in patients who had an SSI was longer (7.0 days), compared with 3.0 days in patients who did not have an SSI. Use of laparoscopy was associated with significantly lower SSI rates, even after accounting for HDI. Conclusion The odds of SSI in children is nearly four times greater in low HDI compared with high HDI countries. Policies to reduce SSI should be prioritised as part of the wider global agenda