Objective This study was intended to determine the role of microautologous fat transplantation (MAFT) in dealing with severe sunken upper eyelids.Methods The authors performed microautologous fat transplantation (MAFT) procedure,particularly in accurately delivering small fat parcels,to treat 238 patients with sunken upper eyelids with multiple folds.Results The average total injection volume of fat were 1.8 ml in right upper lid (from 1.1 to 2.4 ml) and 1.7 ml in left upper lid (from 1.1 to 2.4 ml) separately.Only 3 cases encountered prolonged swelling more than 2 weeks.There were no severe complications.All patients were satisfied with the final results and 2 patients asked for secondary enhancement procedure.Conclusions The therapeutic effects of MAFT and the long-term clinical results of patients with sunken upper eyelids with multiple folds indicate satisfactory outcomes.

Objective To evaluate the effect of minimally invasive therapy for treating intraventricular hemorrhage.Methods The minimally invasive therapy with unilateral or bilateral drainage were received according to quantity and shape of intraventricular hemorrhage.Results It was operated 22 cases with unilateral drainage and 28 cases with bilateral drainage in the 50 cases intraventricular hemorrhage.Death was 3 cases and mortality rate was 6% in the minimally invasive therapy.ADL1 15 cases(30%),ADL2 18 CRSeS(36%),ADL3 8 cases(16%),ADLA4 cases(8%),ADL5 2 cases(4%)in leave hospital.Conclusion Minimal invasive therapy of intraventrieular hemorrhage has great superiority,such as it can operate simple,trauma mild,decrease complications and enhance curative effect.It can generalize in the basic hospital.

Objective To investigate the compliance of secondary prevention and the relationship with the long-term outcomes in patients undergoing percutaneous coronary intervention(PCI).Methods 589 patients undergoing PCI were followed-up,and factors including major adverse cardiac events(MACE)),smoking status and the usage of antiplatelet agents,angiotensin converting enzyme inhibitor(ACEI)/angiotensin Ⅱ receptor blocker(ARB),statins,beta blocker,calcium channel blocker and nitrates were recorded.Results The average follow-up time was 18.92 months.At discharge,588 patients(99.83%)were prescribed clopidogrel for(7.89±4.96)months;there were 31 patients(5.26%)who completely discontinued antiplatelet therapy during follow-up.At discharge,the prescription rate of aspirin,ACEI/ARB,beta blocker,statins,calcium channel blocker and nitrates was 98.98%,41.94%,63.50%,83.02%,19.69%and 46.52%respectively,whereas at follow-up,these were decreased to 94.4%,35.99%,55.86%,65.89%,17.49%and 35.31%.At follow-up,there were still 105 current smokers(17.83%).Complete cessation of antiplatelet therapy and current smoking were related to the increased risk of non-fatal myocardial infarct(9.68%v.s.1.08%,P＜0.01);smoking(4.76%v.s.0.83%,P＜0.01)andMACE(19.35%v.s.6.45%,P＜0.01);smoking(11.43%v.s.6.20%,P＜0.05).Conclusion Most patients can adhere to secondary prevention during follow-up,however,the compliance with secondary prevention should be improved further.Cessation of antiplatelet therapy and current smoking contribute to poor prognosis.

Objective To evaluate the diagnostic value of combined detection of serum autoantibodies against against p53 and Bmi-1 in lung cancer (LC).Methods Serum levels of autoantibodies against p53 and Bmi-1 were measured by enzyme-linked immunosorbent assay (ELISA) in 92 patients with LC and 80 normal controls.The combined diagnostic value was evaluated with the receiver operating characteristic (ROC) curve.Results The serum levels of autoantibodies against p53 and Bmi-1 were significantly higher in LC than in normal controls (0.438 ±0.705 vs 0.045 ±0.035,Z =-7.667,P ＜0.01;0.117±0.061 vs 0.068 ±0.031,Z =-7.179,P ＜0.01).The levels of autoantibodies against p53 and Bmi-1 were not related to age,gender,pathological classification,lymph node status or tumor-node-metastasis (TNM) stage (P ＞ 0.05).The combined detection of two autoantibodies provided an enhanced sensitivity of 63.0％,a specificity of 91.2％ and an area under curve (AUC) of 0.881,which showed better diagnostic efficiency compared to individual autoantibodies.Conclusions Combined detection of autoantibodies against p53 and Bmi-1 shows good diagnostic value,which may aid diagnosis of LC.

Objective:To develop a deep transfer learning method for the differential diagnosis of osteonecrosis of the femoral head (ONFH) with other common hip diseases using anteroposterior hip radiographs.Methods:Patients suffering from ONFH, DDH, and other hip diseases including primary hip osteoarthritis, non-infectious inflammatory hip disease, and femoral neck fracture treated in the First Affiliated Hospital of Guangzhou University of Chinese Medicine from January 2018 to December 2020 were enrolled in the study. A clinical data set containing anteroposterior hip radiographs of the eligible patients was created. Data augmentation by rotating and flipping images was performed to enlarge the data set, then the data set was divided equally into a training data set and a testing data set. The ResNet-152, a deep neural network model, was used in the study, but the original Batch Normalization was replaced with Transferable Normalization to construct a novel deep transfer learning model. The model was trained to distinguish ONFH and DDH from other common hip diseases using anteroposterior hip radiographs on the training data set and its classification performance was evaluated on the testing data set.Results:The clinical data set was comprised of anteroposterior hip radiographs of 1024 hips, including 542 with ONFH, 296 with DDH, and 186 with other common hip diseases (56 hips with primary osteoarthritis, 85 hips with non-infectious inflammatory osteoarthritis, 45 hips with femoral neck fracture). After data augmentation, the size of the data set multiplied to 6144. The model was trained 100 050 times in each task. Accuracy was used as the representative parameter to evaluate the performance of the model. In the binary classification task to identify ONFH, the best accuracy was 95.80%. As for the multi-classification task for classification of ONFH and DDH from other hip diseases, the best accuracy was 91.40%. The plateau of the model was observed in each task after 50 000 times of training. The mean accuracy in plateaus was 95.35% (95% CI: 95.33%, 95.37%), and 90.85% (95% CI: 90.82%, 90.87%), respectively. Conclusion:The present study proves the encouraging performance of a deep transfer learning method for the first-visit classification of ONFH, DDH, and other hip diseases using the convenient and economical anteroposterior hip radiographs.

BACKGROUND:Overactive osteoclasts disrupt bone homeostasis and play a bad role in the pathological mechanisms of related skeletal diseases,such as osteoporosis,fragility fractures,and osteoarthritis.Studies have confirmed that ellagic acid and ellagtannin have the potential to inhibit osteoclast differentiation.As their natural metabolites,urolithin A has antioxidant,anti-inflammatory,anti-proliferative and anti-cancer effects,but its effect on osteoclast differentiation and its underlying molecular mechanisms remain unclear. OBJECTIVE:To explore the effect of urolithin A on osteoclast differentiation induced by receptor activator for nuclear factor-κB ligand and its mechanism. METHODS:Mouse mononuclear macrophage leukemia cells(RAW264.7)that grew stably were cultured in vitro.Toxicity of urolithin A(0,0.1,0.5,1.5,2.5 μmol/L)to RAW264.7 cells were detected by cytotoxic MTS assay to screen out the safe concentration.Different concentrations of urolithin A were used again to intervene with receptor activator for nuclear factor-κB ligand-induced differentiation of RAW264.7 cells in vitro.Then,tartrate-resistant acid phosphatase staining and F-actin ring and nucleus staining were performed to observe its effect on the formation and function of osteoclasts.Finally,the expressions of urolithin A on upstream and downstream genes and proteins in the MAPK signaling pathway were observed by western blot and RT-qPCR assays. RESULTS AND CONCLUSION:Urolithin A inhibited osteoclast differentiation and F-actin ring formation in a concentration-dependent manner and 2.5 μmol/L had the strongest inhibitory effect.Urolithin A inhibited the mRNA expression of Nfatc1,Ctsk,Mmp9 and Atp6v0d2 and the protein synthesis of Nfatc1 and Ctsk,related to osteoclast formation and bone resorption.Urolithin A inhibited the activity of osteoclasts by downregulating the phosphorylation of p38 protein to inhibit the mitogen-activated protein kinase signaling pathway.

Objective To understand the characteristics of long-working hours exposure of medical staff,and analyze the impact of long-working hours exposure on mental health problems such as occupational stress,depression,fatigue accumulation,and insomnia.Methods The cluster random sampling method was used to select the medical staff of 12 tertiary general hospitals in Guangdong Province as the research subjects,and the"Core Scale of Occupational Stress Measurement"and other scales were used to evaluate their occupational mental health.Results The average working hours of medical staff per day were(8.99±2.18)h;2,094 people were exposed during long working hours,accounting for 78.96%.The results of binary logistics regression analysis showed that after excluding the influence of sociodemographic factors such as age,long working hours(weekly working hours greater than 40 h)were the risk factors for occupational stress,depressive symptoms and fatigue accumulation of medical staff(P<0.01),and the longer the working week,the higher the risk of occupational stress,depressive symptoms and fatigue accumulation.Weekly working hours greater than 48 hours are risk factors for insomnia(P<0.01).Conclusion Long working hours are common among delivery workers on food delivery platforms,and long working hours are a risk factor for occupational tension and fatigue.

Objective:To explore the feasibility of extracting the key plane of the normal fetal palate on the 11-13 + 6 week from tomography ultrasonography imaging based on artificial intelligence. Methods:The fetal volume datas of 235 cases of 11-13 + 6 week normal fetal were collected from the Department of Ultrasound in the Luohu District People′s Hospital of Shenzhen and Huazhong University of Science and Technology Union Shenzhen Hospital from May 2020 to April 2021. The data acquisition was completed by sonographers A and B by using the GE Voluson E10 color Doppler ultrasound diagnostic instrument. All datas were marked offline by sonographer C. Tomographic imaging was performed on all included data by sonographer D, the tomographic images were saved and the time-consuming was recorded, and the datas of the sonographer group were obtained. The labeled data were randomly divided into the training set and test set for model transfer learning and testing.The 4-fold cross-validation was adopted to record the test set image output by the model and the time consumption to obtain the intelligent group data. A senior sonographer performed image analysis on the two groups of data images. The feasibility of the intelligent model was verified by comparing the score of the plane of retronasal triangle(RTP), the acquisition rate of RTP, the acquisition rate of the fault, and the time-consuming difference between the sonographer group and the intelligent group. Results:①There was no significant difference in the overall distribution of RTP scores between the sonographer group and intelligent group [5 (5, 6) points vs 5 (5, 6) points, Z=0.355, P=0.722]. The RTP acquisition rate of the sonographer group and intelligent group was not statistically significant (78.72% vs 76.60%, χ 2=0.55, P=0.458). The consistency and correlation of RTP obtained by the two groups were high (Kappa=0.645, φ=0.646, both P<0.001). ②The effective layers of the sonographer group were 9 (8, 9) and the intelligent group was 8 (7, 9). The fault acquisition rate of the doctor group was higher than that of the intelligent group (78.72% vs 68.51%, χ 2=12.52, P=0.001). The consistency and correlation of the two groups in obtaining faults were media (Kappa=0.503, φ=0.521, both P<0.001). ③The time-consuming of the intelligent group was significantly lower than that of the sonographer group [1.50 (1.23, 1.75)s vs 26.94 (22.28, 30.48)s, Z=11.440, P<0.001]. Conclusions:This research model can quickly and accurately realize the extraction and tomography of the key plane of the normal fetal palate on the 11-13 + 6 week.

Objective:Neonatal mice hypoxia model was established to observe the responses of the main neural cell types in cognition-related brain areas.Methods:Pups at postnatal day 2(P2)were subjected to 10％oxygen for suc-ceeding 5 days,and harvested at different development stage for histologic study.Immunofluorescence histochemistry was used to compare the changes of oligodendrocyte density,mature oligodendrocyte ratio and myelin protein level in corpus callosum(CC)and motor cortex(M1)after hypoxia,as well as the expression changes of excitatory and inhibi-tory neurons in anterior cingulate cortex(ACC),hippocampus(Hippo)and sensory cortex(S1).Furthermore,the density changes of different types of inhibitory intermediate neurons,microglia and astrocytes in ACC were compared.At the same time,the effect of hypoxia on the expression of synaptic proteins was also detected.Results:Quantitative immunofluorescence results showed lower myelin protein levels and mature oligodendrocyte ratio in CC and M1 of hypoxic mice compared with control mice.There was no significant difference in the number of excitatory neurons in ACC,but the number of gamma-aminobutyric acid(GABA)neurons in ACC,Hippo,and S1 were significantly reduced,especially parvalbumin neuron,ssomatostatin neurons,and vasoactive intestinal polypeptide neurons in ACC.The number of excitatory synapses labeled by vesicular glutamate transporter 1(VGluT1)and inhibitory synapses labeled by gephyrin were significantly decreased in ACC of hypoxic mice.Although there was no significant difference in astrocyte and microglia numbers,microglia were activated after hypoxic injury.Conclusion:Chronic hypoxia will lead to changes in the development of oligodendrocytes and interneurons,impair synapse formation.These results provide an important experimental basis for exploring the neural mechanism of diseases related to abnormal brain intelligence devel-opment.