2%). Six of 13 cardiac arrests and eight of 63 of multiple trauma cases were coded as 'Referral for investigation'. With the addition of two new terms to the New Zealand reference set ('Abnormal blood test' and 'Radiology request'), each of the remaining 30 presentations would have an alternative and more accurate CPC.
 
  'Referral for investigation' should be removed from the New Zealand emergency department reference set for chief presenting complaints to improve data quality.
 'Referral for investigation' should be removed from the New Zealand emergency department reference set for chief presenting complaints to improve data quality.
  We aimed to estimate the risk of COVID-19 outbreaks in a COVID-19-free destination country (New Zealand) associated with shore leave by merchant ship crews who were infected prior to their departure or on their ship.
 
  We used a stochastic version of the SEIR model CovidSIM v1.1 designed specifically for COVID-19. It was populated with parameters for SARS-CoV-2 transmission, shipping characteristics and plausible control measures.
 
  When no control interventions were in place, we estimated that an outbreak of COVID-19 in New Zealand would occur after a median time of 23 days (assuming a global average for source country incidence of 2.66 new infections per 1,000 population per week, crews of 20 with a voyage length of 10 days and 1 day of shore leave per crew member both in New Zealand and abroad, and 108 port visits by international merchant ships per week). For this example, the uncertainty around when outbreaks occur is wide (an outbreak occurs with 95% probability between 1 and 124 days). The combination of PCR testing on arrival, self-reporting of symptoms with contact tracing and mask use during shore leave increased this median time to 1.0 year (14 days to 5.4 years, or a 49% probability within a year). Scenario analyses found that onboard infection chains could persist for well over 4 weeks, even with crews of only 5 members.
 
  This modelling work suggests that the introduction of SARS-CoV-2 through shore leave from international shipping crews is likely, even after long voyages. But the risk can be substantially mitigated by control measures such as PCR testing and mask use.
 This modelling work suggests that the introduction of SARS-CoV-2 through shore leave from international shipping crews is likely, even after long voyages. But the risk can be substantially mitigated by control measures such as PCR testing and mask use.
  We developed a model, updated daily, to estimate undetected COVID-19 infections exiting quarantine following selectively opening New Zealand's borders to travellers from low-risk countries.
 
  The prevalence of infectious COVID-19 cases by country was multiplied by expected monthly passenger volumes to predict the rate of arrivals. The rate of undetected infections entering the border following screening and quarantine was estimated. Level 1, Level 2 and Level 3 countries were defined as those with an active COVID-19 prevalence of up to 1/105, 10/105 and 100/105, respectively.
 
  With 65,272 travellers per month, the number of undetected COVID-19 infections exiting quarantine is 1 every 45, 15 and 31 months for Level 1, Level 2 and Level 3 countries, respectively. The overall rate of undetected active COVID-19 infections exiting quarantine is expected to increase from the current 0.40 to 0.50 per month, or an increase of one extra infection every 10 months.
 
  Loosening border restrictions results in a small increase in the rate of undetected COVID-19 infections exiting quarantine, which increases from the current baseline by one infection every 10 months. This information may be useful in guiding decision-making on selectively opening of borders in the COVID-19 era.
 Loosening border restrictions results in a small increase in the rate of undetected COVID-19 infections exiting quarantine, which increases from the current baseline by one infection every 10 months. This information may be useful in guiding decision-making on selectively opening of borders in the COVID-19 era.BACKGROUND Eosinophilic granulomatosis with polyangiitis (EGPA) is a rare and severe progressive disease with multiple clinical manifestations and organ damage. Usually, it requires long-term monitoring of the state of many organs due to the gradual character of its manifestations. CASE REPORT We report a case of a long-term follow-up of a patient with eosinophilic granulomatosis with polyangiitis with emphasis on specific clinical features in this patient. A 64-year-old man was being followed up for 10 years. The initial diagnosis was allergic bronchial asthma; however, as new clinical signs and symptoms developed, the diagnosis of EGPA became obvious. A positive treatment response was seen, mainly manifested as reduced polyneuropathy. Meanwhile, bronchial asthma remained uncontrolled and bronchiectasis and Klebsiella pneumoniae colonization developed despite the combination treatment with prednisolone and methotrexate. Furthermore, the patient suffered a cerebral ischemic infarction. During the last hospital admission, severe uncontrolled bronchial asthma complicated with pneumonia resulted in the patient's death. CONCLUSIONS This clinical case shows the gradual development of EGPA with multiple-organ involvement, including respiratory manifestations and peripheral and central nervous system damage. Immunosuppressive treatment combined with complications of EGPA could have contributed to severe pneumonia development and death of the patient.BACKGROUND Gastric cancer (GC) is one of the leading causes of cancer-related mortality worldwide.  https://www.selleckchem.com/products/dj4.html  We aimed to identify differentially expressed genes (DEGs) and their potential mechanisms associated with the prognosis of GC patients. MATERIAL AND METHODS This study was based on gene profiling information for 37 paired samples of GC and adjacent normal tissues from the GSE118916, GSE79973, and GSE19826 datasets in the Gene Expression Omnibus database. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were used to investigate the biological role of the DEGs. The protein-protein interaction (PPI) network was constructed by Cytoscape, and the Kaplan-Meier plotter was used for prognostic analysis. RESULTS We identified 119 DEGs, including 21 upregulated and 98 downregulated genes, in GC. The 21 upregulated genes were mainly enriched in extracellular matrix-receptor interaction, focal adhesion, and transforming growth factor-ß signaling, while the 98 downregulated genes were significantly associated with gastric acid secretion, retinol metabolism, and metabolism of xenobiotics by cytochrome P450.