Objective: To analyze the correlation between third molar agenesis and craniofacial morphology by studying the location and number of congenital missing third molars and results of craniofacial cephalometric measurement. Methods: A total of 123 patients were included, including 64 patients in the control group without congenital third molar absence and 59 patients in the absence group with at least one third molar absent. Cephalometric measurements included FMA, IMPA, AR-Go, GoGn-Sn, Co-A, Co-Gn, ANS-Me, Go-Me, SN-MP, Ar-Go-Me, SNA, SNB, ANB, Y-axis angle, Y-axis length, Ar-Go, Go-Me, MP-OP, FH-PP, FH-OP, a total of 18 bone tissue indicators, U1-SN, U1-L1, U1-NA, L1-NB, U1-APo and L1-APo, a total of 6 dental indicators, and UL-EP, LL-EP and nasolabial angle, a total of 3 soft tissue indicators. The correlation between congenital agenesis of third molars and craniofacial morphology was analyzed. Results: The most common missing location of the third molar occured in the upper jaw and the most common number of missing teeth was one. In control group, Ar-Go-Me and SN-MP were larger (P<0.05), U1-SN, U1-NA, L1-NB, UL-EP and LL-EP were larger (P<0.05), and U1-L1 was smaller (P<0.01). There were no significant differences in Ar-Go and Go-Me between the two groups(P>0.05). Conclusion Patients with four third molars are more likely to have backward and downward rotation of the mandible and are more likely to develop into a convex facial type than patients with missing third molars, which has a higher correlation with hyperdivergent growth pattern and convex facial type.

After the current situation of knowledge service in aviation medicine was analyzed, the major problems in restrict security systems, few information access approaches, and difficulties in team construction for the knowledge service in aviation medicine were pointed out, with measures that should be taken in knowledge service put for-ward, such as keeping abreast of the key task in research of aviation medicine, making use of open access re-sources, digitalizing paper-type resources, organizing and revealing the knowledge in resources by making use of information technologies.

Objective·To investigate effect and the possible molecular mechanism of JQ1,a specific inhibitor of bromodomain containing protein 4,on human hypertropic scar.Methods·Primary fibroblasts were isolated from human hypertrophic scars and treated with JQ-1 of different concentrations (0.1,0.5,1.0,2.0,2.5,and 12.5μmol/L) for 48 h.Then CCK-8 kit and wound healing assay were used to measure proliferation and migration of the fibroblasts.ELISA was adopted to detect the levels of collagen type Ⅰ (COL Ⅰ) and TGF-β1 after JQ-1 treatment for 24 h.Thirty-six nude mice were used for hypertrophic scar models.Human hypertrophic scars (1.0 cm× 1.0 cm×0.5 cm) were grafted subcutaneously at the backs of nude mice to establish scar animal models.After 4 weeks,the nude mice were averagely divided into two groups,i.e.JQ-1 group and DMSO group,which were respectively injected with 0.5 μmol/L JQ-1 and 0.1％ DMSO each mouse every day.COL Ⅰ / Ⅲ and α-smooth muscle actin (α-SMA) were examined by immunohistochemical method and sirius red staining.Results·Cell experiments showed that JQ-1 with the concentration of 0.5 μmol/L and above significantly inhibited proliferation of fibroblasts (P＜0.01).JQ-1 inhibited migration of fibroblast (P＜0.01).JQ-1 inhibited secretion of COL Ⅰ and TGF-β1 of fibroblasts (P＜0.01).Animal experiments showed that concentration and proportion of COL Ⅰ / Ⅲ in JQ-1 group decreased compared to DMSO group (P＜0.05).α-SMA protein expression in JQ-1 group also decreased (P＜0.05).Conclusion·JQ-1 can inhibit proliferation,migration,secretion of COL Ⅰ,and production of TGF-β1 of human sear fibroblasts in vitro;it can also inhibit secretion of COL Ⅰ /Ⅲ and fibroblast-myofibroblast differentiation in the human hypertrophic scars in nude mice.

Research has shown mutations in the voltage-gated sodium channel gene SCN2A to be associated with developmental delays and infantile seizures in patients with early-onset epileptic encephalopathies (EOEEs). Here, we report the case of an infant with a de novo SCN2A mutation with EOEE who had medically refractory seizures that improved with a ketogenic diet (KD) implemented at an age less than 2 months. On the day of his birth, the infant presented with a pattern of convulsions with dozens of episodes per day. An initial video electroencephalogram revealed poor reactivity of background activity, with multiple partial episodes starting from the right temporal region, and abnormal electrical activity in the right hemisphere. The seizures previously were not controlled with successive therapy with phenobarbital, topiramate, and levetiracetam. Genetic testing revealed the presence of a mutation in the SCN2A gene (c.4425C>G, p.Asn1475Lys). The infant’s seizures decreased significantly with a combination of KD and medication. The present case exemplifies the potential for personalized genomics in identifying the etiology of an illness. Furthermore, the KD appears to feasible in infants younger than 2 months and might elicit good responses to EOEE associated with SCN2A mutation.

Objective To detect the dynamic visual acuity ( DVA) before and after vestibular habituation of subjects in order to optimize the DVA assessment criteria .Methods The vestibular function examination system was applied to the detection of static and dynamic visual function in 16 healthy subjects .Results When the speed of left or right swinging was fast enough , DVA before and after vestibular habituation was different .Conclusion Subjects with vestibular habituation can reduce their sensitivity to the vestibular system , the changes in DVA are better than before habituation , and the vestib-ular function adaptability training may have effect on DVA .

Objective:To explore the speech features of female patients with anhedonic depression and their recognition of pleasure deficient symptoms.Methods:A total of 102 female depression patients who were hospitalized at Nanjing Brain Hospital from September 2020 to October 2021 were selected, including 62 anhedonic depression patients (anhedonic group) and 40 non-anhedonic depression patients (non-anhedonic group). A total of 50 female healthy controls were recruited during the same period.All participants were evaluated by the 17-item Hamilton depression scale (HAMD-17), Snaith-Hamilton pleasure scale (SHAPS), and the temporal experience of pleasure scale (TEPS), as well as voice acquisition.SPSS 23.0 software was used for data processing.Statistical analysis was conducted using one-way ANOVA, non-parametric tests, Logistic regression, and receiver operating characteristic curve.Results:Compared with the non-anhedonic group, the anhedonic group showed significant changes in 15 voice features(all P<0.05), including Mel-frequency cepstral coefficients, formant frequencies, intensity, and energy features.Among these features, Mel-frequency cepstral coefficients exhibited the highest accuracy in identifying anhedonic depression, with sensitivity of 47.5%, specificity of 91.9%, area under curve (AUC) of 0.751, 95% CI=0.686-0.866.Formant frequencies could identify female anhedonic depression, with a sensitivity of 90.0%, a specificity of 40.3%, an AUC of 0.647, and 95% CI=0.605-0.824.Energy features could identify anhedonic deficient depression, with a sensitivity of 60.0%, a specificity of 74.2%, an AUC of 0.679, and 95% CI=0.587-0.804.Intensity features could identify female anhedonic depression, with a sensitivity of 70.0%, a specificity of 58.1%, an AUC of 0.640, and 95% CI=0.554-0.769. Conclusion:Mel-frequency cepstral coefficients, formant frequencies, intensity features, and energy features may have specific changes in female patients with anhedonic depression.The Mel-frequency cepstral coefficients has the highest recognition accuracy for anhedonic symptoms in female depression patients, and is expected to become an objective evaluation index for female anhedonic depression.

Objective:To explore the effect of stabilizing muscle training on cervical function and quality of life in continuous nursing care of patients with cervical spondylosis.Methods:From June 2018 to June 2019, a total of 98 patients with cervical spondylosis in the First Affiliated Hospital of Zhengzhou University were selected by convenience sampling method, and divided into control group and observation group by random number table method. In the course of treatment and follow-up, 15 cases were lost in the two groups, and 42 cases were included in the control group and 41 in the observation group. The control group was given routine continuous nursing after discharge, and the observation group was given stabilizing muscle training on the basis of routine continuous nursing. The scores of Japanese Orthopedic Association (JOA) and Neck Disability Index were compared before intervention, 3 months after intervention and 6 months after intervention between the two groups. The scores of Short Form 36 Health Survey Questionnaire (SF-36) were compared after intervention between the two groups.Results:The results of repeated measurement ANOVA of JOA score and NDI score before intervention, 3 months and 6 months after intervention showed that there were interaction, inter group and time effects, and the differences were statistically significant ( P<0.01) . After the intervention, the scores of SF-36 in the observation group were higher than those in the control group, and the differences were statistically significant ( P<0.05) . Conclusions:In the continuous nursing of patients with cervical spondylosis, the application of stabilizing muscle training is more conducive to relieve muscle tension, improve symptoms, and improve the quality of life of patients.

Objective:To construct and validate a risk prediction model for major complications 30 days after surgery in the elderly patients with hip fracture.Methods:A retrospective study was conducted to analyze the clinical data of 276 elderly patients with hip fracture who had been admitted to Department of Trauma and Orthopaedics, The Hospital Affiliated to Chengde Medical University from June 2019 to December 2021. There were 96 males and 180 females with an age of (74.5±9.3) years, and 139 femoral neck fractures and 137 intertrochanteric fractures. The outcome of this study was whether major complications occurred within 30 days after surgery. Multiple logistic regression analysis identified the risk factors for major complications in the elderly patients with hip fracture within 30 days after surgery. The forward step-by-step method and likelihood ratio test were used to screen the best prediction model. A nomogram was constructed to display the model. The stability and effectiveness of the model were evaluated by the receiver operating characteristic curve (ROC), Hosmer-Lemeshow goodness-of-fit test, clinical decision curve and clinical impact curve analysis.Results:Logistic regression analysis showed that decreased preoperative hemoglobin ( P< 0.05), time from admission to surgery >72 hours ( OR=3.001, 95% CI: 1.564 to 5.758, P<0.001), control of nutritional status (CONUT) score >4 points ( OR=3.394, 95% CI: 1.724 to 6.680, P<0.001), and age-adjusted modified frailty index (aamFI) >2 points ( OR=2.875, 95% CI: 1.548 to 5.339, P= 0.001), increased operation time ( OR=1.016, 95% CI: 1.006 to 1.025, P=0.001), and surgical bleeding >60 mL ( OR=2.373, 95% CI: 1.016 to 5.540, P=0.046) were independent risk factors for major complications within 30 days after surgery in the elderly patients with hip fracture. The area under the ROC curve in the logistic risk prediction model was 0.846 (95% CI: 0.799 to 0.889), and the results of Hosmer-Lemeshow goodness-of-fit test showed ( χ2=8.080, P=0.426). The clinical decision curve and clinical impact curve showed that the prediction model was accurate and effective. Conclusion:Based on the patients' preoperative hemoglobin, time from admission to surgery, control of nutritional status score, age-adjusted modified frailty index, operation time and surgical blood loss, this study has constructed successfully a risk prediction model for complications 30 days after surgery in the elderly patients with hip fracture which enables medical staff to predict the occurrence of major postoperative complications.

Objective:To explore the heterogeneity among keloids before and after radiotherapy and identify the changes of key cell subpopulations and their interactions utilizing single cell RNA sequencing technology.Methods:Four patients provided a total of 12 samples, each consisting of keloid tissue before and after radiotherapy and the normal skin tissue adjacent to the untreated keloid. The keloid was divided into left and right sides from the midline, and the left-side keloid was fractionally irradiated with 20 Gy electron beam in total in 4 consecutive days. The right-side keloid was irradiated with 10 Gy in 2 fractions before surgery and 10 Gy in 2 fractions after surgery.Results:A total of 25 573 fibroblasts were analyzed and categorized into nine subgroups (fibroblasts 1-9). The proportion of fibroblast-2 increased after radiotherapy ( t=4.70, P<0.05). The number of classical monocytes and macrophages increased after radiotherapy, but there was no significant difference due to the shorter time of sample taking at 2 d after radiotherapy ( P>0.05). Macrophages (4 723 cells) were further divided into four categories. CellPhoneDB analysis showed that type-3 macrophages interacted significantly more closely with fibroblasts than type-1 and type-2 macrophages. The most prominent signaling pathways for the interactions between type-3 macrophages and major fibroblast subtypes were the collagen signaling pathway and the chemerin signaling pathway. These interactions were more pronounced in the keloid samples after radiotherapy. Conclusions:The interactions between type-3 macrophages and fibroblasts (such as fibroblast-2) may serve as an important point for future studies on radio-sensitization of keloids.

Objective:To analyze the influencing factors for depression in primary school children aged 9-10 years in Jiangsu Province, and to construct a risk prediction model.Methods:A retrospective study.A total of 1 162 primary school children aged 9-10 years from 3 primary schools in 3 regions of Jiangsu Province were recruited.Their demographic data were collected, and they were surveyed by the Depression Anxiety Stress Scales-21 (DASS-21), the Strengths and Difficulties Questionnaire (SDQ), and the Family Environment Scale (FES). Children were divided into control group (1 059 cases) and depression group (103 cases) based on the depression scores obtained from the DASS-21 scale.Multivariate Logistic regression analysis was used to analyze the influencing factors for depression in primary school students aged 9-10 and construct a risk prediction model. Results:There were significant differences in the economic development region, physical activities, academic performance, student cadres, parents′ education level, frequency of parental quarrels, SDQ and FES dimension scores between control group and depression group (all P<0.05). Among them, economic development areas (Northern Jiangsu and Southern Jiangsu), student cadres, father′s education level (elementary school and below) and intimacy of the FES scale were protective factors for depression in elementary school children; while emotional symptoms, peer problems and the total difficulty score in the SDQ scale, and the conflict in the FES scale were the risk factors for depression in elementary school children.The prediction model was created based on the influencing factors: Logit ( P)=-1.390×economic development area (Northern Jiangsu) -1.508×economic development area (Southern Jiangsu) -1.248×student cadres -2.206×father′s education level (primary school and below) -1.145×father′s education level (junior high school)+ 3.316×emotional symptoms in the SDQ+ 0.979×peer problems in the SDQ+ 2.520×total difficulty score in the SDQ -1.697×cohesion in the FES + 0.760×conflict in the FES -0.678.The area under the curve of receiver operating characteristic was 0.931, with the sensitivity and specificity of 85.42% and 91.83%, respectively. Conclusions:The regional level of economic development, class or school cadres, father′s education level, peer problems, total difficulty score, cohesion and conflict in the family are influencing factors for depression among primary school children aged 9-10 years in Jiangsu Province.The created prediction model can effectively assess the depressive risk factors in this population, which is conductive to achieve the early recognition and intervention of depression in them.