Objective To investigate the epidemiological features of out-of-hospital patients with ventricular fibrillation (VF) in Shanghai and to analysis factors associated with outcomes, and to provide evidence for improving the success rate of VF.Methods The data of patients with VF admitted to Shanghai Medical Emergency Center from January 2013 to December 2016 were analyzed retrospectively. All the data were recorded including the clinical data, medical service time, return of spontaneous circulation (ROSC) at scene/en route, survival to hospital discharge. Factors that associated with successful resuscitation were analyzed by Logistic regression.Results From 2013 to 2016, 21096 patients with suspected cardiac arrest were admitted to the Shanghai Medical Emergency Center. After excluding ventricular tachycardia (13 cases) and ventricular asystole (20995 cases), 88 patients with VF were enrolled, with 62 male and 26 female; the average age was (63.22±16.15) years old. While bystander cardiopulmonary resuscitation (CPR) was performed in only 21 cases (23.86％). Fifty-seven cases occurred during the day (08:00-20:00), while 31 cases occurred in the night. And the average emergency response time was (6.47±4.13) minutes; the average on-site time was (14.76±10.88) minutes; the average transport to hospital time was (5.95±4.00) minutes. There were no significant differences in response time, on-site time and transport to hospital time each year, and there were no significant differences in emergency medical service time between day and night either. From 2013 to 2016, prehospital successful resuscitation rate was decreased by years [95.65％ (22/23), 87.50％ (14/16), 83.33％ (20/24) vs. 80.00％(20/25), respectively,χ2 = 1.895,P = 0.595]. Survival to hospital discharge rate was increased by years [21.74％ (5/23), 31.25％ (5/16), 37.50％ (9/24), 40.00％ (10/25), respectively,χ2 = 2.862,P = 0.413]. The success rate of prehospital resuscitation for patients with 1, 2, ≥3 defibrillation was 35.23％ (31/88), 23.08％ (12/52), 89.19％ (33/37), respectively (χ2 = 42.811,P = 0.000). The on-site time in successful final resuscitation group was shorter than that in final resuscitation failure group (minutes: 10.85±8.83 vs. 16.79±11.36,t = 2.367,P = 0.020), the ROSC time in successful final resuscitation group was shorter than that of final resuscitation failure group (minutes: 3.24±3.17 vs. 7.43±6.64, t = 3.175,P = 0.002). It was shown by Logistic regression that long ROSC time was the risk factor for final resuscitation failure [odds ratio (OR) = 0.771,P = 0.024]. Gender, age, availability of witnesses CPR, call time, emergency response time, on-site time and transport to hospital time had no significant impact on the prehospital successful resuscitation and final successful resuscitation. In prehospital successful resuscitation group, there was significant difference in survival to hospital discharge rate among different defibrillation times group [48.39％ (15/31), 58.33％ (7/12) vs. 21.21％ (7/33),χ2 = 7.460,P = 0.024].Conclusions From 2013 to 2016, there were no significant changes in the emergency response time, prehospital successful resuscitation rate and survival to hospital discharge rate of patients with VF in Shanghai. Though, repeated defibrillation could significantly increased prehospital successful resuscitation rate, multiple defibrillation indicated decline of survival to hospital discharge rate in prehospital successful resuscitation group. Additionally, long on-site time and long ROSC time indicated poor prognosis.

BACKGROUND:At present,the pathogenesis of osteoarthritis is still unclear,and there is a lack of effective means to control the disease.Research on osteoarthritis is mostly concentrated in the field of immunity,and there are few studies in the field of oxidative stress. OBJECTIVE:To explore the roles of oxidative stress and immune infiltration in osteoarthritis and to predict related miRNAs and therapeutic agents. METHODS:The GSE55235 dataset(10 samples of osteoarthritis and 10 healthy control samples)and the GSE55457 dataset(10 samples of osteoarthritis and 10 healthy control samples)were obtained from the GEO database for merging to obtain their differentially expressed genes that were combined with oxidative stress genes to get the differentially expressed genes of oxidative stress.The differentially expressed genes of oxidative stress were analyzed for KEGG and GO enrichment,and the osteoarthritis pathways and biological processes were evaluated using GSEA enrichment analysis.The protein-protein interaction network was constructed using the STRING online website and Cytoscape software,and the Degree algorithm was run to get the key genes.The GSE1919 dataset was obtained from the GEO database as a validation dataset,and the key genes were analyzed by variance analysis and receiver operating characteristic curve analysis to get the core genes.In addition,immune infiltration was evaluated by CIBERSORT and the correlation between core genes and immune cells was explored.miRNA prediction of core genes was performed using TargetScan and target drugs were predicted using the DSigDB database. RESULTS AND CONCLUSION:Sixty-five differentially expressed genes and five core genes(IL1B,CXCL8,MYC,NFKBIA,JUN)associated with oxidative stress were identified.Enrichment analysis showed that differentially expressed genes associated with oxidative stress were concentrated in the pathways of oxidative stress,interleukin-17,osteoclast differentiation,fluid shear stress and atherosclerosis.The area under the receiver operating characteristic curve for the five core genes exceeded 0.85,indicating their excellent specificity and sensitivity in diagnosing bone and joint conditions,as well as their close association with immune cells.The predicted miRNA was has-miR-3937,and the therapeutic small-molecule drugs were metformin,ionomycin and celecoxib.To conclude,oxidative stress and immune infiltration exist in osteoarthritis,and immune infiltration is involved in activating oxidative stress.The core genes and predicted miRNAs can be used as novel markers for the diagnosis of osteoarthritis,and small molecule drugs are predicted to treat osteoarthritis.