Objective To simulate the metabolic distribution process of 18F 2-fluoro-2-deoxy-D-glucose(FDG) in human body and to visualize this distribution process through 3D images with high resolution and high quality. Methods The model parameters of FDG metabolism in tissues were estimated through clinical experiments, and the curves which represent the FDG metabolic process in tissues were calculated using the model parameters and blood input function. This FDG distribution process in human body was visualized basing on the high-resolution anatomical structure. Results The simulation and visualization results directly and clearly displayed the FDG metabolic distribution process after injection to human body. The properties of the FDG distribution process represented by our simulation were consistent with that represented by clinical experiment. Conclusion The method presented in this study is effective to simulate and visualize human functional information of metabolism, and it may provide a useful tool for education and research on nuclear imaging.

Objective　To study the scan technique that can completely demonstrate the structures of middle-inner ear.Methods　Ninety volunteers underwent 30° axial and 105° coronal HRCT scan.The manifestations of the ministructures of middle-inner ear were observed and their demonstration rate was calculated.The demonstration of different structures of middle-inner ear was evaluated and compared on HRCT.Results　(1)The scan planes of 30° axial and 105° coronal were correspondent to some structures of middle-inner ear and could completely demonstrate them.(2)30° axial and 105° coronal HRCT scan had their own advantages respectively in demonstrating the structures of middle-inner ear.Conclusion　The technique of 30° axial and 105° coronal HRCT scan of middle-inner ear is useful in demonstrating the structures,including the nerve,joint,ligament etc and the relationship among them.

Objective To understand the clinical characteristics of Acinetobacter baumannii infections in elderly patients in intensive care unit (ICU)and investigate its drug susceptibility. Methods Bacterial identification was carried out by VITEK?32 automatic micro?analyzer(Bio?Merieux Company of French). Data processing was performed with WHONET5.6 software. Results Totally 259 strains of Acinetobacter baumannii were isolated from 220 infected elderly patients. The detection rate of Acinetobacter baumannii was 71.43%(185 strains),13.13%(34 strains), 6.18%(16 strains )and 9.26%(24 strains)from sputum,drainage fluid,blood and other specimens,respectively . Drug resistance of Acinetobacter baumanniito antibiotics was relatively high. Resistance to tigecycline of Acinetobacterbaumanniistrains was the lowest(0%?23.38%)while the sus?ceptibility was the highest(70.13%?80.85%)in all kinds of antibiotics in this study. Conclusion Acinetobacter baumannii varied in drug resis?tance to different antibiotics. It is necessary to choose susceptible antibiotics for clinical anti?infection treatment on the basis of in?vitro antibiotics sus?ceptibility testing for isolated strains from local regions.

It was widely believed that disorders of circadian system were caused by neurodegenera-tive diseases. With the deepening of research,many scholars believed that disorders of circadian system may affect the occurrence and development of neurodegenerative diseases such as Parkinson's disease. 'Parkinson 's disease' and 'Circadian rhythm' were used as the key words of retrieval performance in the databases such as Pubmed,CNKI,Wanfang and so on,and the papers which were closely related with the theme were select-ed. The epidemiology,etiology and pathogenesis,clinical manifestations and the role of circadian system reg-ulation in PD were reviewed. The results show that the disorders of circadian system could be regulated by bright light therapy,melatonin and stem cell therapy,music therapy,and deep brain stimulation. Based on the theory of time medicine,combining the regulation of circadian system with the classical treatment of PD may provide a new breakthrough point for PD treatment. The disorders of circadian system is expected to be-come a new target for PD therapy.

Objective:To explore the correlation between urine Alzheimer disease associated neuronal thread protein (AD7C-NTP) and cognitive dysfunction in patients with Parkinson disease (PD).Methods:The clinical data of 90 patients with PD in Weihai Central Hospital in Shandong Province from April 2016 to August 2019 were retrospectively analyzed. According to the Montreal cognitive assessment scale (MoCA) score, the patients were divided into non cognitive impairment group (46 cases) and mild cognitive impairment group (44 cases). Forty-five healthy persons matched in gender and age were selected as control group. The urine AD7C-NTP, and serum homocysteine (Hcy), uric acid, C-reactive protein (CRP) were detected. The MoCA score, PD Hoehn-Yahr classification (H-Y classification), levodopa equivalent dose and time of taking medicine were record. The correlation between AD7C-NTP and various clinical indicators was analyzed by Pearson method. Risk factors of cognitive dysfunction in patients with PD were analyzed by Logistic regression.Results:The AD7C-NTP and Hcy in mild cognitive impairment group were significantly higher than those in control group and non cognitive impairment group: (3.3 ± 2.3) μg/L vs. (1.9 ± 1.6) and (2.1 ± 2.0) μg/L, (13.5 ± 3.4) μmol/L vs. (9.1 ± 4.5) and (11.0 ± 3.1) μmol/L, the indexes in non cognitive impairment group were significantly higher than those in control group, and there were statistical differences ( P<0.05). The uric acid in mild cognitive impairment group was significantly lower than that in control group and non cognitive dysfunction group: (286.7 ± 62.9) μmol/L vs. (338.6 ± 70.4) and (322.9 ± 81.2) μmol/L, the index in non cognitive impairment group was significantly lower than that in control group, and there were statistical differences ( P<0.05). The MoCA score in mild cognitive impairment group was significantly lower than that in non cognitive impairment group: (22.9 ± 2.9) scores vs. (27.3 ± 2.4) scores, the H-Y classification, levodopa equivalent dose and time of taking medicine were significantly higher than those in non cognitive impairment group: (2.7 ± 0.7) stages vs. (2.4 ± 0.6) stages, (465.8 ± 132.1) mg/d vs. (405.8 ± 139.5) mg/d and (46.9 ± 22.1) months vs. (35.8 ± 24.4) months, and there were statistical differences ( P < 0.01 or<0.05). Pearson correlation analysis result showed that AD7C-NTP was negatively correlated with uric acid and MoCA scores ( r = -0.365 and -0.586, P < 0.01), and positively correlated with H-Y classification, levodopa equivalent, Hcy and time of taking medicine ( r = 0.568, 0.434, 0.362 and 0.324; P < 0.01). Multivariate Logistic regression analysis result showed that AD7C-NTP, Hcy and H-Y classification were independent risk factors of cognitive dysfunction in patients with PD ( P < 0.01 or<0.05), and uric acid was an independent protective factor ( P < 0.05). Conclusions:The expression of urine AD7C-NTP is increased in PD patients with cognitive impairment. The level of urine AD7C-NTP is correlated with cognitive impairment and disease severity, which may be an effective biomarker of cognitive impairment in PD patients.

ObjectiveTo explore the mental health status and its influencing factors among middle school students in Xide County， Liangshan Yi Autonomous Prefecture， and to provide references for mental health interventions for local middle school students. MethodsUsing a cross-sectional study design， one junior middle school and one senior middle school in Xide County， Liangshan Prefecture， Sichuan Province， were randomly selected on September 16， 2021， and two classes per grade in each school involving 288 students were recruited. Subjects were assessed using Patients' Health Questionnaire Depression Scale-9 item （PHQ-9）， Generalized Anxiety Disorder Scale-7 item （GAD-7）， PTSD Checklist for DSM-5 （PCL-5）， Multidimensional Scale of Perceived Social Support （MSPSS） and UCLA Loneliness Scale （ULS-3）. Then the scores of above scales were compared among middle school students with different demographic characteristics， and binary Logistic regression analysis was conducted to screen the influencing factors of post-traumatic stress disorder (PTSD） symptoms. ResultsAmong the respondents， 17.71% （95% CI： 0.133~0.221）， 8.68% （95% CI： 0.054~0.120）， 2.78% （95% CI： 0.009~0.047） and 45.83% （95% CI： 0.400~0.516） were reported to have symptoms of depression， anxiety， PTSD and loneliness， respectively. Students in senior middle school scored lower on PCL-5 and ULS-3 than those in junior middle school ［（6.46±8.91） vs. （8.87±9.42）， t=2.202， P<0.05； （4.67±1.65） vs. （5.60±1.88）， t=4.431， P<0.01］. Regression analysis denoted that depressive symptoms （OR=7.630， P<0.05） and anxiety symptoms （OR=3.789， P<0.01） were risk factors for PTSD symptoms among middle school students. ConclusionThe middle school students in Xide County， Liangshan Yi Autonomous Prefecture suffer a high prevalence rate of depressive symptoms and loneliness， and those in junior middle school are more likely to feel a sense of strong loneliness， furthermore， depressive symptoms and anxiety symptoms are risk factors for PTSD symptoms.