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Objective:This study aimed to investigate temporal trends in Event survival after OHCA from 2015 to 2019 in Jiading district Shanghai. And analysis the influencing factors.Methods:This was a population based observational cohort study evaluating the temporal trends in survival after OHCA, we included consecutive patients who experienced an OHCA between January 1,2015 and December 31, 2019, we included all adult patients aged ≥ 18 years who presumed medical cause and were treated by emergency medical services (EMS) in Jiading District. The Data was obtained from Dispatch software system, The emergency case registration system, paper-based treatment records, dispatcher's telephone recording and in-hospital records, This Data organized according to the Utstein template using standard data element definitions. Temporal changes were measured by chi-square trend test. we constructed a multilevel logistic regression model to identify factors independently associated with event survival arrival at hospital and survival to hospital discharge.Results:A total of 1305 patients with OHCA met study inclusion criteria during the study period. Survival to hospital admission was 4.14% increased from 1.87% in 2015 to 7.31% in 2019 for trend ( P=0.009), survival to hospital discharge was 1.23%, increased from 0.37% in 2015 to 3.32% in 2019 ( P=0.003). But there was no evidence of a temporal change in survival to hospital discharge with good neurologic function (0.37 in 2015 to1.33% in 2019, P=0.339 for trend). In the subgroup, the rate of Recognition was increased from 7.49% in 2015 to 19.27% in 2019 ( P< 0.01). The proportion of cases receiving bystander CPR was 17.39%, which increased from 9.36% in 2015 to 25.19% in 2019 ( P= 0.000). The proportion of shockable rhythm was 4.06%, there was no evidence of a temporal change in the proportion of the overall rhythm (3.00%-4.65%, P=0.323 for trend), There were no cases of bystanders using automated external defibrillators (AEDs) in patients with cardiac arrest, The EMS response time (min) were15.45±8.71, which decreased from 15.10±8.12 in 2015 to 13.41±6.47 in 2019 ( P< 0.0001). Multiple regression analysis showed that Male ( OR= 0.315, 95% CI: 0.168-0.519, P =0.000), Not Shockable rhythm ( OR= 0.096, 95% CI: 0.043-0.012, P=0.000), and public location ( OR=2.411, 95% CI: 1.302-4.463, P=0.005) were independent predictor of Factors Associated with survival at hospital admission. Male ( OR= 0.247, 95% CI: 0.070-0.866, P=0.029), Not Shockable rhythm ( OR= 0.072, 95% CI: 0.016-0.318, P=0.001), and No Epinephrine administration ( OR=5.953, 95% CI:1.222-29.012, P=0.005) were independent predictor of Factors Associated with Survival to Hospital Discharge. Conclusions:Survival after OHCA has improved over time. Several targeted initiatives established along the chain of survival of OHCA during the past 5-years may help explain the improvement in survival outcome observed in Jiading District, including improved the rate of Recognition, improved participation rates in bystander CPR and a reduction in EMS response time.In the future, more resources should be improving the quality of CPR training and expanding AEDs coverage and encouraging the public to have the courage to use them.
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Objective:To explore the effect of enriched environment on pain sensitivity, anxiety- and depressive-like behavior in selective nerve injury(SNI) rats model and its potential mechanism.Methods:A total of 36 male clean grade SD rats aged 6-8 weeks were randomly divided into three groups( n=12 in each group): sham operation+ standard environment group (sham group), SNI+ standard environment group (standard environment group), SNI+ enriched environment group (enriched environment group). The rat model of neuropathic pain was established by SNI.The rats in the enriched enviroment group were placed in an enriched enviroment 7 days before operation until 21 days after operation.The paw withdraw threshold(PWT) and paw withdraw latency (PWL) were performed to assess hyperalgesia.The open field test, elevated plus maze test, novelty suppressed feeding test and forced swimming test were used to assess anxiety and depression like behavior.The expressions of cAMP response element binding protein (CREB), p-CREB, brain-derived neurotrophic factor (BDNF), postsynaptic density-95 (PSD-95) and neuroligin 2 (NLGN2) were detected by Western blot.The expression of CREB and BDNF in contralateral ACC were measured by immunofluorescence.GraphPad prism 8.0 and SPSS 23.0 were used for data analysis.One way ANOVA was used for inter group comparison, repeated measurement ANOVA was used to analyze PWT and PWL results, and Tukey test was used for pairwise comparison. Results:(1) In PWT and PWL experiments, the interaction effect between group and time, group main effect and time main effect of PWT were significant ( F=13.4, 39.6, 369.6, all P<0.05), and the interaction effect between group and time, group main effect and time main effect of PWL were significant ( F=3.8, 10.3, 58.8, all P<0.05). Compared with sham group, PWT((8.0±3.5) g, (2.4±1.4) g, (2.3±1.1) g, (2.2±1.6) g, (1.6±0.5) g) and PWL((8.6±1.3) s, (7.3±1.5) s, (7.9±1.0) s, (6.6±1.1) s, (7.7±1.4) s) in standard environment group decreased at each time point (all P<0.05). (2) Compared with sham group, the number of entrying into the central area (1.3±1.7), the time of entrying into the central area((1.6±1.3) s), the proportion of entering open arms ((8.0±7.8) %) and the proportion of time in the open arms ((1.3±1.2) %) all significantly decreased in standard environment group ( t=4.585, 5.423, 4.682, 5.202, all P<0.05). The eating latency ((365.2±94.4) s) and immobility time ((127.6±24.3) s) dramatically increased ( t=6.008, 14.290, both P<0.05). The number and time of entrying into central area of enriched environment group were both higher than those of standard environment group(both P<0.05), while the eating latency and immobility time of enriched environment group were both lower than those of standard environment group(both P<0.05). (3) Compared with sham group(CREB: (1.6±0.2), (0.8±0.5); BDNF: (0.8±0.5), (1.0±0.4)), the expression of CREB ((1.8±0.1), (1.5±0.2)), BDNF ((0.9±0.6), (1.4±0.3)) in spinal cord and ACC of standard environment group increased (spinal: t=3.283, 4.989; ACC: t=5.502, 4.257, all P<0.05). The expression of PSD-95 ((1.6±0.2), (1.0±0.2) and NLGN2 ((1.5±0.5), (1.1±0.2)) also increased in ACC of standard enviroment group ( t=4.257, 2.214, both P<0.05). Compared with standard environment group, the expression of CREB (1.3±0.3), BDNF (0.7±0.4), PSD-95(1.0±0.3) and NLGN2(1.1±0.4) in spinal cord of enriched environment group decreased ( t=5.007, 2.166, 2.358, 2.322, all P<0.05). The expression of PSD-95(1.2±0.3) and NLGN2(1.1±0.2) also decreased in ACC of enriched environment group ( t=2.674, 2.944, both P<0.05). However, the expression of p-CREB (1.7±0.6) and BDNF (2.4±0.2) increased in ACC ( t=4.180, 7.610, P<0.05). Conclusion:Enriched environment can improve neuropathic pain and anxiety- and depressive-like behavior in SNI rats, which may be related to the change of synaptic plasticity in spinal cord and ACC.
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Objective:To assess the association between the different prehospital transfer pathways to the hospital and reperfusion delay in patients with ST segment elevation myocardial infarction (STEMI).Methods:We retrospective collected 320 STEMI patients aged 18 years or older who underwent primary percutaneous coronary intervention (PPCI) from June 1, 2016 to July 31, 2018. They were divided into three groups according to different prehospital transfer pathways: patients directly transferred from the field by ambulance to PCI-capable center hospital (field transfer group, n=29); patients transferred by ambulance from PCI-incapable hospitals to PCI-capable center hospital (inerhospital transfer group, n=111); patients transferred by friends or relatives to PCI-capable center hospital (self-transfer group, n=180). The basic characteristic attributes, reperfusion time and fatal complications such as acute left heart failure cases (ALHF) cases, ventricular fibrillation (VF) cases, and in hospital death were collected and compared. In addition, logistic regression analysis was used to analyze uni- and multivariate of door-to-balloon (D2B) time less than 90 min. Results:The S2FMC interval were 118 min (50, 377) min , FMC-to-balloon interval were 87 min (66, 120.5) min and the onset-to-balloon time were 221 min (135, 482.5) min. The above three interval in the interhospital transfer group were longer than those in the field transfer and self-transfer groups ( P<0.05). S2FMC accounted for 51.14% of onset-to-balloon time in the field transfer group, 63.29% in the interhospital transfer group and 55.26% in the self transfer group. The door-to-catheter room interval were 33 min (9, 53.5) min. The interval in the interhospital transfer group were shorter than those in the field transfer and self-transfer groups ( P<0.05). The interval in the self-transfer group were longer than those in the interhospital transfer and field transfer groups ( P<0.05). Multiple regression analysis showed that the interhospital transfer group ( OR=15.251, 95% CI: 5.328-43.657, P<0.01), field transfer group ( OR=8.219, 95% CI: 1.861-36.307, P=0.005), FMC2ECG time ( OR=0.975, 95% CI: 0.962-0.989, P<0.01), and smoking ( OR=2.099, 95% CI: 1.015-4.341, P=0.045) were independent predictor of goal time less than 90 min ( P<0.05 for all variables). Adverse events in STEMI patients mainly occurred within 6 h of the initial symptoms. The incidence of VF was 3.75% (95% CI: 3.73%-3.77%), ALHF was 10.94% (95% CI: 7.52%-14.36%) and in-hospital mortality was 2.5% (95% CI: 0.79%-4.21%). There was no significant difference in the incidence of adverse events among the three groups ( P>0.05). Conclusions:The symptoms of STEMI patients are at risk in the early stage. Ambulances can shorten the reperfusion time, but the ambulance system is less used by patients. It is necessary to further optimize the treatment process of non-PCI hospitals and strengthen the popularity of emergency knowledge related to chest pain among residents, so as to shorten the reperfusion time.