7 research outputs found

    Spatial-time analysis of cardiovascular emergency medical requests: enlightening policy and practice

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    Background: Response time to cardiovascular emergency medical requests is an important indicator in reducing cardiovascular disease (CVD) -related mortality. This study aimed to visualize the spatial-time distribution of response time, scene time, and call-to-hospital time of these emergency requests. We also identified patterns of clusters of CVD-related calls. Methods: This cross-sectional study was conducted in Mashhad, north-eastern Iran, between August 2017 and December 2019. The response time to every CVD-related emergency medical request call was computed using spatial and classical statistical analyses. The Anselin Local Moran's I was performed to identify potential clusters in the patterns of CVD-related calls, response time, call-to-hospital arrival time, and scene-to-hospital arrival time at small area level (neighborhood level) in Mashhad, Iran. Results: There were 84,239 CVD-related emergency request calls, 61.64% of which resulted in the transport of patients to clinical centers by EMS, while 2.62% of callers (a total of 2218 persons) died before EMS arrival. The number of CVD-related emergency calls increased by almost 7% between 2017 and 2018, and by 19% between 2017 and 2019. The peak time for calls was between 9 p.m. and 1 a.m., and the lowest number of calls were recorded between 3 a.m. and 9 a.m. Saturday was the busiest day of the week in terms of call volume. There were statistically significant clusters in the pattern of CVD-related calls in the south-eastern region of Mashhad. Further, we found a large spatial variation in scene-to-hospital arrival time and call-to-hospital arrival time in the area under study. Conclusion: The use of geographical information systems and spatial analyses in modelling and quantifying EMS response time provides a new vein of knowledge for decision makers in emergency services management. Spatial as well as temporal clustering of EMS calls were present in the study area. The reasons for clustering of unfavorable time indices for EMS response requires further exploration. This approach enables policymakers to design tailored interventions to improve response time and reduce CVD-related mortality.This study was financially sponsored by Mashhad University of Medical Sciences (Project grant: 980861)

    Accuracy of chest radiography versus chest computed tomography in hemodynamically stable patients with blunt chest trauma

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    【Abstract】 Objective: Thoracic injuries are respon- sible for 25% of deaths of blunt traumas. Chest X-ray (CXR) is the first diagnostic method in patients with blunt trauma. The aim of this study was to detect the accuracy of CXR versus chest computed tomograpgy (CT) in hemodynami- cally stable patients with blunt chest trauma. Methods: Study was conducted at the emergency department of Sina Hospital from March 2011 to March 2012. Hemodynamically stable patients with at least 16 years of age who had blunt chest trauma were included. All patients underwent the same diagnostic protocol which consisted of physical examination, CXR and CT scan respectively. Results: Two hundreds patients (84% male and 16% female) were included with a mean age of (37.9±13.7) years. Chin J Traumatol 2013;16(6):351-354 Rib fracture was the most common finding of CXR (12.5%) and CT scan (25.5%). The sensitivity of CXR for hemothorax, thoracolumbar vertebra fractures and rib fractures were 20%, 49% and 49%, respectively. Pneumothorax, foreign body, emphysema, pulmonary contusion, liver hematoma and ster- num fracture were not diagnosed with CXR alone. Conclusion: Applying CT scan as the first-line diag- nostic modality in hemodynamically stable patients with blunt chest trauma can detect pathologies which may change management and outcome. Key words: Radiography; Thoracic injuries; Tomography, X-ray compute

    Influence of Cognitive Behavioral Therapy on Psychological Wellbeing and Ego-Resiliency in Type 2 Diabetes Patients in Sabzevar

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    Objective: Psychological wellbeing and ego-resiliency are highly affected in a chronic disease like type 2 diabetes mellitus (T2DM), where psychological interventions are considered as an option. The present study, therefore, aimed to investigate the effectiveness of cognitive-behavioral therapy (CBT) on psychological wellbeing and ego-resiliency of T2DM in Sabzevar, Iran. Materials and Methods: This experimental pretest-posttest design was conducted on T2DM patients admitted to Diabetes Center in Sabzevar, Iran. The sample included 30 patients, selected by convenient sampling, and randomly assigned into control (n=15) and experimental groups (n=15). Ryff’s Psychological Wellbeing Scale and Klohnenchr('39')s Ego-resiliency Inventory were used to collect data. CBT was conducted for the experimental group. Statistical analyses were performed in SPSS17 using ANCOVA. Results: The findings indicated that CBT had considerable impact on psychological wellbeing (and its six components: self-acceptance, personal growth, purpose in life, environmental mastery, autonomy, and positive relations with others), and ego-resiliency, in T2DM (P-value ≤ 0.01). Conclusion: The application of CBT, in T2DM patients can be an effective, applicable and promising intervention to enhance the psychological wellbeing and ego-resiliency, two highly affected constructs in chronic diseases leading to serious comorbidities for health

    Klotho, FOXO1 and cytokines associations in patients with coronary artery disease

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    Introduction: Atherosclerosis is one of the main reasons for adult mortality in advanced populations and countries with high stress levels. Klotho family are single-pass trans-membrane proteins that involve in the genesis and progression of various diseases, including acardiovascular disease, apoptosis and stress oxidative imbalance. Present study, investigates the pattern of changes in Klotho and FOXO1 gene expressions and levels in atherosclerosis. Methods: Present case control study consisted of 79 patients with atherosclerosis and 78 healthy controls. PBMC (peripheral mono-nuclear blood cells) expression levels of Klotho and FOXO1 were assayed, using qPCR method. Serum concentration of Klotho and FOXO1 were measured by ELISA method. Results: A significant reduction was found in PBMC genes expression levels of Klotho (P < 0.01) of patients as comparison with controls. PBMC Gene expression of FOXO1 in patients was increased significantly (P < 0.01) when compared with controls. Pearson analysis showed a positive correlation between PBMC Klotho gene expression and Klotho levels of patients (P < 0.01). The correlation between serum concentrations of Klotho and FOXO1 of patients was also positive significantly (P < 0.01). AUC of ROC for gene expression and serum concentration of Klotho in patients were 0.701 and 0.737 respectively. Conclusion: Investigating the PBMC gene expression and serum concentration of Klotho in patients with atherosclerosis is suggested could be a convenient novel biomarker for predicting, prognosis, monitoring the disease progression and designing a suitable drug for patients with atherosclerosis

    Multiple-scale spatial analysis of paediatric, pedestrian road traffic injuries in a major city in North-Eastern Iran 2015-2019

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    Background: Paediatric, pedestrian road traffic injuries (PPRTIs) constitute a major cause of premature death in Iran. Identification of high-risk areas would be the primary step in designing policy intervention for PPRTI reduction because environmental factors play a significant role in these events. The present study aims to determine high-risk areas for PPRTIs at three different geographical scales, including the grid network, the urban neighbourhood and the street levels in Mashhad, Iran during the period 2015–2019. Methods: This cross-sectional retrospective study was based on all pedestrian accidents with motor vehicles involving children (less than 18 years of age) between March 2015 and March 2019 in the city of Mashhad, which is the second-most populous city in Iran. The Anselin Local Moran’s I statistic and Getis-Ord Gi* were performed to measure spatial autocorrelation and hotspots of PPRTIs at the geographical grid network and neighbourhood level. Furthermore, a spatial buffer analysis was used to classify the streets according to their PPRTI rate. Results: A total of 7390 PPRTIs (2364 females and 4974 males) were noted during the study period. The children’s mean age was 9.7 ± 5.1 years. Out of the total PPRTIs, 43% occurred on or at the sides of the streets, 25 of which labelled high-risk streets. A high-high cluster of PPRTI was discovered in the eastern part of the city, while there was a low-low such cluster in the West. Additionally, in the western part of the city, older children were more likely to become injured, while in the north-eastern and south-eastern parts, younger children were more often the victims. Conclusions: Spatial analysis of PPRTIs in an urban area was carried out at three different geographical scales: the grid network, the neighbourhood and the street level. The resulting documentation contributes reliable support for the implementation and prioritization of preventive strategies, such as improvement of the highrisk streets and neighbourhoods of the city that should lead to decreasing numbers of PPRTIs.This study was funded by Mashhad University of Medical Sciences (fund number: 970733)
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