Fat embolism is common following trauma and is a common autopsy finding in these cases. It may also be seen in non-traumatic cases and is seen in children as well as adults. In comparison fat embolism syndrome (FES) only occurs in a small number of trauma and non-trauma cases. Clinical diagnosis is based on characteristic clinical and laboratory findings. Fat embolism exerts its effect by mechanical blockage of vessels and/or by biochemical means including breakdown of fat to free fatty acids causing an inflammatory response. Fat embolism can be identified at autopsy on microscopy of the lungs using fat stains conducted on frozen tissue, including on formalin fixed but not processed tissue. With FES fat emboli can be seen in other organs including the brain, kidney and myocardium. Fat can also be identified with post-fixation staining, typically with osmium tetroxide. Scoring systems have been developed to try and determine the severity of fat embolism in lung tissue. Fat embolism is also common following resuscitation. When no resuscitation has taken place, the presence of fat on lung histology has been used as proof of vitality. Diagnosis of fat embolism syndrome at autopsy requires analysis of the history, clinical and laboratory findings along with autopsy investigations to determine its relevance, but is an important diagnosis to make which is not always identified clinically. This paper reviews the history, clinical and laboratory findings and diagnosis of fat embolism and fat embolism syndrome at autopsy. © 2019 The Authors.Background Mobile elements are ubiquitous components of mammalian genomes and constitute more than half of the human genome. Polymorphic mobile element insertions (pMEIs) are a major source of human genomic variation and are gaining research interest because of their involvement in gene expression regulation, genome integrity, and disease. Results Building on our previous Mobile Element Scanning (ME-Scan) protocols, we developed an integrated ME-Scan protocol to identify three major active families of human mobile elements, AluYb, L1HS, and SVA. This approach selectively amplifies insertion sites of currently active retrotransposons for Illumina sequencing. By pooling the libraries together, we can identify pMEIs from all three mobile element families in one sequencing run. To demonstrate the utility of the new ME-Scan protocol, we sequenced 12 human parent-offspring trios. Our results showed high sensitivity (> 90%) and accuracy (> 95%) of the protocol for identifying pMEIs in the human genome. In addition, we also tested the feasibility of identifying somatic insertions using the protocol. Conclusions The integrated ME-Scan protocol is a cost-effective way to identify novel pMEIs in the human genome. In addition, by developing the protocol to detect three mobile element families, we demonstrate the flexibility of the ME-Scan protocol. We present instructions for the library design, a sequencing protocol, and a computational pipeline for downstream analyses as a complete framework that will allow researchers to easily adapt the ME-Scan protocol to their own projects in other genomes. © The Author(s) 2020.Background Knowledge about cancer-related malnutrition and the use of clinical nutrition (CN) in the real-world setting are lacking. We investigated diagnosis and treatment frequency of malnutrition in a multinational survey to identify unmet needs in cancer patients’ care. Methods Retrospective analyses were conducted on data from three administrative healthcare datasets from France (n = 570,727), Germany (n = 4642) and Italy (n = 58,468). selleck compound Data from France described frequency and timing of malnutrition diagnosis in hospitalized gastrointestinal cancer patients. The German data detailed home parenteral nutrition (HPN) use in cancer patients with stage III/IV cancers. The Italian data analysed three cohorts metastatic with CN, metastatic without CN, and patients without metastatic disease. Results In France, malnutrition diagnosis at first hospitalization occurred in 10% of patients, 13% were subsequently diagnosed, and 77% had no malnutrition diagnosis. In Germany, 16% of patients received HPN. Patients started HPN around 3 months before death. In Italy, 8.4% of metastatic cancer patients received CN; average time between metastasis diagnosis and first CN prescription was 6.6 months. Average time between first CN prescription and death was 3.5 months. Conclusions These data indicate that in the real-world clinical practice, cancer-related malnutrition is under-recognized and undertreated. CN often appears to be prescribed as an end-of-life intervention or is not prescribed at all.Appropriate CN use remains challenging, and current practice may not allow optimal oncologic outcomes for patients at nutritional risk. Improving awareness of malnutrition and generating further evidence on clinical and economic benefits of CN are critical priorities in oncology. © The Author(s), 2020.Background Surgical site infection is a common complication in patients who underwent surgery. The prevalence is higher in low-income countries. In Ethiopia, prevalence and pathogens of surgical site infection (SSI) reported are variable. This systematic review and meta-analysis aimed to find the pooled prevalence of SSI. Besides, it aimed to find pathogens of surgical site infection in Ethiopia. Methods The databases for the search were PubMed, Web of Science, and Google Scholar by the date 21/08/2018. To assess publication bias Egger’s test regression analysis was applied. Subgroup analysis was conducted based on the study population and region. Results This meta-analysis included a total of 15 studies with 8418 study subjects. The pooled prevalence of surgical site infection was 25.22% (95% CI 17.30 to 33.14%). Staphylococcus aureus (30.06%) was the most common pathogen identified. Followed by Escherichia coli (19.73%), Klebsiella species (17.27%), and Coagulase-Negative staphylococci (12.43%) were the commonly isolated pathogens. Conclusions The national prevalence of surgical site infection was high. The most common identified pathogen was Staphylococcus aureus. Followed by Escherichia coli, Klebsiella species, and Coagulase-Negative staphylococci. Strict adherence to surgical site infection prevention techniques needs to get more attention. © The Author(s) 2020.