Study on the Effect of Prehospital Emergency Nursing Model Based on Network Information Sharing Platform in Acute Ischemic Stroke.

Background: Acute ischemic stroke is one of the most common emergencies in clinical medicine. Prehospital first aid of ischemic stroke has become the focus and focus of the global medical community. The combination of network information technology and prehospital first aid can better serve the treatment of ischemic stroke. Objective: To explore the effect of prehospital emergency nursing model based on network information sharing platform in acute ischemic stroke. Methods: 78 patients with acute ischemic stroke from February 2020 to October 2021 were studied. Patients were randomly divided into study group (n = 39) and control group (n = 39). The control group was given routine first aid nursing. Prehospital first aid nursing based on network information sharing platform was used in the study group. Alarm response time, on-site first aid response time, hospital handover time, National Institutes of Health Stroke scale (NIHSS) at 12 and 24 hours after admission, Glasgow coma scale (GCS) at 12 and 24 hours after admission, incidence of poor prognosis, and nursing satisfaction score at 24 hours after admission were recorded. Results: The emergency response time and hospital handover time in the study group were significantly shorter than those in the control group (P < 0.05). The NIHSS score and the incidence of poor prognosis at 12 and 24 hours after admission in the study group were lower than those in the control group (P < 0.05). The GCS scores at 12 hours and 24 hours after admission in the study group were higher than those in the control group (P < 0.05). The NSNS score of the study group was higher than that of the control group. Conclusion: Prehospital first aid nursing based on network information sharing platform has great application value in patients with acute ischemic stroke. It can shorten the time of first aid, improve patients' consciousness, and reduce the incidence of poor prognosis.

Molecular Characterization and Genomic Function of Grapevine Geminivirus A.

A new grapevine geminivirus A (GGVA) isolate (named as GGVA-17YM1) and its associated defective genome (GGVA-D) were identified from a grapevine sample collected in Yuanmou, Yunnan Province, using sRNA high throughput sequencing and traditional Sanger sequencing. To explore the pathogenicity of GGVA and GGVA-D, infectious clones of GGVA-17YM1 and GGVA-D-17YM1 were constructed. Infection assays indicated that Nicotiana benthamiana plants inoculated with GGVA alone or a combination of GGVA and GGVA-D exhibited upward curled apical leaves and dwarfism. Southern blotting and quantitative real-time polymerase chain reaction analysis revealed that GGVA-D increased the accumulation level of GGVA DNA. Transient expression using a PVX-derived recombinant vector indicated that C2 and C4 encoded by GGVA are involved in symptom induction in N. benthamiana. Furthermore, the V2 protein inhibited local RNA silencing in co-infiltration assays in GFP transgenic N. benthamiana plants. Subsequently, full-length genome sequencing resulted in the identification of 11 different isolates of GGVA and 9 associated defective DNA molecules. Phylogenetic analysis based on whole genome sequences showed that all GGVA isolates, including our sequences, clustered into two distinct branches with no geographical grouping. Analyses of molecular variation indicated single nucleotide polymorphisms (SNPs) with more transitions (55.97%) than transversions (44.03%). Furthermore, the main variants for ORF C1, C3, or V1 were synonymous mutations, and non-synonymous mutations for ORF C2, C4, and V2. Genetic selection analysis indicated that negative selection acted on four ORFs (V1, C1, C2, and C3), while V2 and C4 were under positive selection. Our results contribute to the characterization of the genetic diversity of GGVA and provide insights into its pathogenicity.