Objective To investigate the psychological influence of anxiety and depression of patients with craniofacial trauma using psychological intervention before MRI scanning. Methods One hundred and forty hospitalized patients with craniofacial trauma were enrolled averagely divided into psychological experimental group and control group by time sequence. The patients of the experimental group received psychological intervention before MRI scanning, whereas the patients of the control group did not, but patients in both groups underwent routine nursing. The psychological state of all the patients were evaluated using self-rating anxiety scale ( SAS) and self-rating depression scale ( SDS) . Results There was no difference in either SAS or SDS between two groups before intervention (P>0. 05). After intervention, the anxiety score and depression score were (38. 96 ± 10. 15) and (46. 86 ± 11. 25), which were lower than (43. 53 ± 9. 32) and (52. 51 ± 6. 80) of the control group (t= -2. 776, -3. 601, respectively;P <0. 05). All patients in the experimental group completed examination, but two cases failed in the control group. The image quality control in the experimental group were excellent ( clear and no constructed defect ) , and there were three cases of good image for quality control in the control group. Conclusions Psychological intervention before MRI scanning may play an important role in improving the psychological state of patients with craniofacial trauma so as to improve the cooperation of examination, completion rate and quality of image.

Objective:To analyze the related factors of acute stress disorder (ASD) in patients with brain injury and discuss its nursing countermeasures.Methods:Totally 326 patients with brain injury hospitalized in Yongkang First People's Hospital from February 2018 to March 2019 were selected. ASD diagnosis was made using the Stanford Acute Stress Response Questionnaire (SASRQ) , and the factors affecting the occurrence of ASD in patients were subjected to univariate and multivariate Logistic regression analysis. Related nursing strategies were thus summarized.Results:Among the 326 patients with brain injury, 133 were complicated with ASD, accounting for an ASD incidence of 40.80%. Logistic regression analysis showed that gender, headache degree, hemiplegia, and sleep quality entered the regression model, which were independent risk factors for ASD in patients with brain injury ( P<0.05) . Conclusions:The incidence of ASD is higher in patients with brain injury. Women, severe headache, poor sleep quality, and hemiplegia are important factors affecting the incidence of ASD. Nursing staff should take targeted measures to prevent ASD in the patients.

Objective To evaluate the effectiveness of clinical nursing on hypertension patients with tooth extraction by using computer-aided oral local anesthesia technology. Methods A total of 72 hypertension patients, who had tooth extraction and were selected from January 2014 to December 2014 in Beijing Tongren Hospital, were randomly divided into the observation group (36 cases) and the control group (36 cases). The painless oral local anesthesia apparatus were used for patients in the observation group and the traditional manual injection of local anesthetic injection was used for these in the control group. The scores of modified dental anxiety scale ( MDAS) and the visual analogue scale ( VAS ) was recorded, the blood pressure and the heart rate were measured in all cases before, during and after local anesthesia. Results The score of VAS in the observation during local anesthesia was significantly lower than that in the control group that VAS score decreased in 86. 11% patients (31/36) in the observation group comparing with 38. 89% (14/36) in the control group (P<0. 05). The patients with anxiety was 80. 65% (25/31) having decreasing and became to non-dental anxiety state (MADS<11 score) in the observation group and 28. 57%(4/14) in the control group (P<0. 05). Blood pressure of patients in the control group significantly increased before, during and after anesthesia injection ( P<0. 05). There was no statistical difference comparing blood pressure and heart rate during anesthesia injection with these before and after anesthesia injection in the observation group (P>0. 05). Conclusions The computer-aided oral local anesthesia technique can effectively control the dental anxiety, relieve pain in anesthesia injection and discomfort, effectively control blood pressure and heart rate, and is conducive to the smooth process of nursing work.

The early diagnosis of children with autism spectrum disorders (ASD) is essential. Electroencephalography (EEG) is one of most commonly used neuroimaging techniques as the most accessible and informative method. In this study, approximate entropy (ApEn), sample entropy (SaEn), permutation entropy (PeEn) and wavelet entropy (WaEn) were extracted from EEGs of ASD child and a control group, and Student's -test was used to analyze between-group differences. Support vector machine (SVM) algorithm was utilized to build classification models for each entropy measure derived from different regions. Permutation test was applied in search for optimize subset of features, with which the SVM model achieved best performance. The results showed that the complexity of EEGs in children with autism was lower than that of the normal control group. Among all four entropies, WaEn got a better classification performance than others. Classification results vary in different regions, and the frontal lobe showed the best performance. After feature selection, six features were filtered out and the accuracy rate was increased to 84.55%, which can be convincing for assisting early diagnosis of autism.
Algorithms ; Autism Spectrum Disorder ; classification ; diagnosis ; Child ; Electroencephalography ; Entropy ; Humans ; Support Vector Machine