Objective To explore the advantages of computer assisted total knee arthroplasty(TKA)by comparing the post-operative 1 year short term effect of the computer assisted TKA and the conventional TKA .Methods A total of 60 patients from September 2013 to September 2014 were randomly divided into two groups and performed TKA by adopting the computer-assisted technology and the conventional technology respectively .The KSS score ,WOMAC score ,Oxford score and long-leg weight-bearing X-ray before operation and at postoperative 1 year were performed for each case and the statistical analysis was conducted . Results All cases were followed up for an average of 12 months (12—14 months) .The mechanical limb axis in the navigation as-sisted group was —0 .033o± 1 .470o ,which in the traditional group was 0 .600o± 2 .989o(t= —1 .711 ,P<0 .05);the proportions of within 3o varus/valgus force lines were 86 .70% and 73 .30% respectively ,the KSS scores were 88 .80 ± 3 .71 and 82 .63 ± 4 .15;the postoperative WOMAC scores were 23 .57 ± 3 .64 and 30 .00 ± 4 .89 respectively ;the Oxford scores were 18 .53 ± 3 .66 and 21 .83 ± 3 .99 ,the differences between the two groups were statistically significant (P<0 .005) .Conclusion TKA by computer navigation guidance can obtain more accurate lower limb force lines ,moreover the navigation group has more advantages in the clinical rehabili-tation effect .

Objective To explore the personality change in patients with epilepsy during the interictal period and the correlation between clinical features and personality change. Methods One hundred and fifteen patients with idiopathic or cryptogenic epilepsy were chosen as the epileptic group and 42 age- and sex-matched healthy subjects served as controls. All participants were evaluated by Mini Mental Status Examination and Brief Psychiatric Rating Scale to ensure the normality of cognition and mental state.Personality was evaluated by adult version of Eysenck Personality Questionnaire (EPQ)in interictal epilepsy patients and healthy controls.Scores of psychoticism (P),extraversion (E),neuroticism (N) and lie (L)were obtained using computer software. Pearson correlation analysis and logistic regression were used to investigate the scores of EPQ and influential factors.Results P and N scores were significantly elevated in epilepsy patients compared with controls ( P scores:50.48 ± 9.55 vs 46.59 ± 7.28,N scores:51.13 ±12.89 vs 46.83 ± 9.40 ; t =2.374,2.266,both P ＜ 0.05 ),while E scores were significantly decreased (51.74 ± 10.74 vs 60.37 ± 9.84;t =- 4.511,P ＜ 0.01 ).There were no significant differences in L scores.Multivariate analysis showed that disease duration was independently correlated to P scores (β =0.043,P＜0.05),while education was correlated to E scores (β =0.109,P ＜ 0.05 ).There were no significant correlations between personality scores,patient age,gender,age of onset,frequency,seizure type,National Hospital Seizure Severity Scale scores,family history,history of status epilepticus and antiepileptic drugs usage.Conclusions High psychoticism and neuroticism and low cxtraversion scores are correlated to patients with epilepsy during the interictal period.Disease duration is an independent risk factor for psychoticism personality,and education level is an independent risk factor for extraversion personality in epilepsy patients.

Objective: To study the survival time and its risk factors of patients with occupational pneumoconiosis. Methods: A total of 11 011 newly diagnosed occupational pneumoconiosis patients in Guangdong Province from 1980 to 2019 were selected as study subjects. The life table method was used for survival analysis. The influencing factors of survival time of occupational pneumoconiosis patients were analyzed using the WilCoxon (Gehan) test and Cox proportional hazards regression model. Results: The median survival time of pneumoconiosis patients was 26.0 years. The median survival period of stage Ⅰpatients was 3.5 years longer than that of stage Ⅱ patients and 10.1 years longer than that of stage Ⅲ patients. The median survival time of patients with an initial diagnosis age under 40.0 years old was 34.8 years longer than that of patients with an initial diagnosis age over 60.0 years old. The median survival time of patients with dust exposure duration under 25.0 years old was 13.6 years longer than patients with dust exposure duration age over 45.0 years old. The results of the Cox proportional hazards regression model showed that the initial diagnosis stage, initial diagnosis age, dust exposure duration, and medical insurance were risk factors of the survival time of occupational pneumoconiosis patients (all P<0.01). The risk of reduced survival time for patients with stage Ⅱ and stage Ⅲ as the initial diagnosis stage was 1.15 and 2.04 times higher, respectively, compared with stage Ⅰ patients (both P<0.01). The risk of reduced survival time for patients without medical insurance was 60.22 times higher than those with medical insurance (P<0.01). Conclusion: The risk factors of the survival time of occupational pneumoconiosis patients in Guangdong Province are initial diagnosis stage, initial diagnosis age, the dust exposure age, and medical insurance. Earlier detection, earlier diagnosis, and improvement of medical insurance coverage for patients can effectively improve the survival time of occupational pneumoconiosis patients.

Objective: To verify the accuracy of the autoregressive integrated moving average (ARIMA) in predicting the incidence of occupational pneumoconiosis (hereinafter referred as pneumoconiosis) and to predict the incidence of pneumoconiosis in Guangdong Province in the next five years. Methods: A follow-up survey was performed to collect data on pneumoconiosis patients reported in Guangdong Province from 1956 to 2021. Collected data from 1956 to 2016 were used as the training set to build an ARIMA model. Collected data from 2017 to 2021 were used as the prediction set to evaluate the predicting result of the ARIMA model. The ARIMA model was used to predict the incidence of pneumoconiosis in Guangdong Province in next five years. Results: The ARIMA (1,1,2) model was set up after model identification and order estimation. The model was used to predict the prediction set, and its result was good. The ARIMA result and actual values in 2021 were 213 and 210 cases, respectively, with a difference of only three cases. The number of pneumoconiosis cases predicted using the ARIMA model in Guangdong Province from 2022 to 2026 was 214, 204, 202, 194, and 191 cases, respectively, showing a trend of low-level prevalence. Conclusion: The ARIMA model demonstrates high accuracy in predicting pneumoconiosis incidence over a long period of time and with large sample sizes. The forecast results of the ARIMA(1,1,2) model indicate that the incidence of pneumoconiosis in Guangdong Province will be around 200 cases in the next five years, indicating a low-level prevalence.

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 assess the cerebrovascular reserve (CVR)and the relationship of CVR with the short-term prognosis in patients with acute atherosclerotic cerebral infarction.Methods A total of 106 patients with unilateral acute (within 72 h) atherosclerotic cerebral infarction (trial group) were selected from December 2016 to December 2017 in the Department of Neurology of the First People's Hospital of Hefei,which were divided into two groups including the lesion group (106 cases) and the nonlesion group (106 cases).The median score of NIHSS in patients was 4(2,5).The control group included 40 healthy controls.The cerebral blood flow reserve and pulsatility index were measured by transcranial Doppler combined with CO2 inhalation test in both the trial group and the control group.According to the rate of change of cerebral blood flow velocity (CBFV),all subjects were divided into two groups including the normal group and the impaired cerebral blood flow reserve group.The changes of CBFV were compared in the control group and the trial group,which was divided into two groups including the group with lesion side and the group with non-lesion side.To evaluate the brain structure reserve the circle of Willis in the trial group was assessed by MRA.According to the integrity of the circle of Willis anterior and posterior circulation all subjects were divided into four groups (type Ⅰ,type Ⅱ,type Ⅲ and type Ⅳ).The effect of the factors,such as diabetes,hypertension,low density lipoprotein (LDL),high density lipoprotein (HDL),smoking,and drinking history,on cerebral blood flow reserve was measured by single-factor analysis.The correlation of NIHSS scores,infarct size and volume with CVR was also measured.All patients in the trial group were treated with drugs and were followed-up for three months.The modified Rankin Scale (Mrs) was used to evaluate the prognosis of the patients.It means poor prognosis if the value of Mrs was more than three.The effects of factors,such as sex,HDL,LDL,diabetes,hypertension,smoking history,drinking history,cerebral blood flow reserve,NIHSS scores,brain structure reserve,infarct location,age,on the prognosis were measured by multivariate Logistic regression.Results The increase rate of CBFV in the lesion-side of patients with atherosclerotic cerebral infarction was 5.94％ (2.18％,10.49％),and the increase rate of pulsatility index was 10.77％ (2.21％,22.62％),which were both lower than the control group (CBFV:11.54％ (5.01％,17.96％),Z =2.547,P＜0.05);pulsatility index:48.36％ (33.93％,64.51％),Z =6.604,P ＜ 0.01).There was significant difference (x2 =4.328,P ＜ 0.05) in the distribution of diabetes,which was 2/14 in the normal group and 43.48％ (40/92) in the impaired cerebral blood flow reserve group.And in the trial group the brain structural reserve was positively correlated to the infarct volume and the NIHSS score,and the rank correlation coefficient was 0.219 and 0.238 respectively (P ＜ 0.05).The prognosis of cerebral blood flow reserve in the normal group was better than the impaired group (x2 =4.155,P ＜ 0.05),for example,the proportion of patients with good prognosis and normal CBFV was 18.84％ (13/69),the proportion of patients with good prognosis but decreased CBFV was 81.16％ (56/69),the proportion of patients with poor prognosis but normal CBFV was 2.70％ (1/37),the proportion of patients with poor prognosis and decreased CBFV was 97.30％ (36/37).The proportion of patients with type Ⅰ and type Ⅲ of the brain structure reserve was 37.68％ (26/69) and 5.80％ (4/69) respectively,whose prognosis was better (x2 =8.456,P ＜ 0.05) than patients with type Ⅱ and type Ⅳ,whose proportion was 43.48％ (30/69) and 13.04％ (9/69).Multivariate Logistic regression analysis showed that NIHSS score,age,and brain structural reserve were risk factors for poor prognosis in the trial group.Normal cerebral blood flow reserve was a protective factor for good prognosis.Conclusions CVR in patients with acute atherosclerotic cerebral infarction is significantly reduced.CVR can be used as an index to evaluate the prognosis of patients who were followed-up for three months.

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.

Microglia-mediated neuroinflammation is widely perceived as a contributor to numerous neurological diseases and mental disorders including depression. Discs large homolog 1 (Dlg1), an adaptor protein, regulates cell polarization and the function of K

Microglia-mediated neuroinflammation is widely perceived as a contributor to numerous neurological diseases and mental disorders including depression. Discs large homolog 1 (Dlg1), an adaptor protein, regulates cell polarization and the function of K
Animals ; Depression/chemically induced* ; Inflammation ; Lipopolysaccharides/toxicity* ; Mice ; Mice, Inbred C57BL ; Mice, Knockout ; Microglia ; NF-kappa B ; Neuroinflammatory Diseases