Objective To explore the effect of antidepressant intervention on mood state of at or around the time of radiation therapy. Methods 62 hospitalized patients with cancer receiving radiotherapy were divided into two groups by the order of the time when they accept the radiotherapy which called intervention group ( antidepressant fluoxetine group) and control group. And the two groups patients filled out Hamilton Anxiety Scale( HAMA )and Hamilton Depression Scale (HAMD) at or around the time of radiation therapy to investigate the effects of fluoxetine on anxiety and depression. Results The scores of HAMA and HAMD showed that there was no differences between the intervention group and the control group before the radiotherapy. There was significant difference during the radiotherapy ( 6.41 ± 2.30 ) vs ( 9.29 ± 5.62 ); ( 8.80 ± 3. 048 ) vs ( 12.22 ± 8.32 ) and two weeks after the end of the radiotherapy ( 4.90 ± 1.71 ) vs ( 12.32 ± 7.24 ); ( 6.83 ± 2.47 ) vs ( 16.09 ± 8.61 ) between antidepressant fluoxetine group and control group(P ＜ 0.05 ). Conclusion More attention should be paid to mental health and antidepressant can alleviate anxiety and depression of the cancer patients'at or around the time of radiotherapy.

Purpose:To study the relationship between the glitathione S transferase and bladder cancer. Methods: The glutathione Stransferase GST) activity has been studied in serum of 58 bladder cancer patients,80 urinary non-tumor patients and 40 normal controls as well as in 27 cancer tissues,adjacent normal tissues and 13 normal bladder tissues.The grade and stage are classified according to the pathology. Results:The GST activity in serum of bladder cancer patients is much higher than that of non-tumor patients and normal control (P＜0.001＝. There is no difference of GST activity between non-tumor patients and normal controls. The GST activity in cancer tissues is significantly increased as compared with adjacent mormal tissues and normal controls (P＜0.001＝.There is no difference of GST activity between adjacent normal tissues and normal tissues. Among groups of different grade, the GST activity had no statistically differences either in serum or in cancer tissues.But the enzyme activity is increased in high stage (P＜0.05. Conclusions:The results revealed a positive relation between the GST activity and the development of the bladder cancer as well as the malignant degree.

Objective To investigate the correlation between serum bicarbonate level and cardiovascular events in peritoneal dialysis(PD)patients.Methods The data of PD patients who underwent PD catheterization and were followed up regularly until March 31,2023 were retrospectively collected.The included patients were divided into low bicarbonate group and normal bicarbonate group according to the time-averaged serum bicarbonate level.The incidence of cardiovascular events(including coronary heart disease,heart failure,stroke,peripheral vascular dis-ease,death related to cardiovascular surgery or death due to aneurysm dissection or rupture,fatal pulmonary em-bolism,or death from other or unknown cardiovascular causes)was compared between the two groups and the risk factors for cardiovascular events were analyzed.Results At the end of follow-up,a total of 110 PD patients were included,and 34 patients had cardiovascular events.Compared with the normal bicarbonate group,the low bicar-bonate group had a higher incidence of cardiovascular events.Univariate Cox regression analysis showed that the risk of cardiovascular events in the low bicarbonate group was 4.197 times higher than that in the normal bicarbon-ate group(95％CI=2.115-8.331,P＜0.001).After adjusting for multiple confounding factors,the risk of car-diovascular events in the low bicarbonate group was 3.506 times higher than that in the normal bicarbonate group(95％CI=1.709-7.193,P=0.001).The results of multivariate competing risk model showed that the risk of cardiovascular events in the low bicarbonate group was 3.801 times higher than that in the normal bicarbonate group(95％CI=1.920-7.525,P＜0.001).Conclusion Low serum bicarbonate level is closely related to the oc-currence of cardiovascular events in patients with PD,and it is an independent risk factor for cardiovascular events in patients with PD.

Objective To establish a simple model for arteriosclerosis(AS)screening to provide a viable tool for the timely identification of AS risk among residents aged 40～65 years.Methods Data were obtained from the Sleep and Chronic Diseases Program in Fuquan City.The original dataset was divided into a training subset and a validation subset(80%:20%).LASSO and logistic regression models were used to screen variables,perform multivariate regression analyses.Internal validation was performed using the Bootstrap method.Nomogram Plot was constructed,and risk score thresholds were determined based on ROC curves to classify high-risk populations.Results RS Model was established to include age,gender,napping,sleep efficiency,sleep disorders,hyperten-sion and diabetes,with AUC=74.80%and a model risk score threshold=84.20.PHC Model was established to include age,gender,napping,sleep efficiency,systolic blood pressure,fasting blood glucose,and pulse variables,with AUC=82.80%and a risk score threshold of 78.00.Decision curves showed that both models performed well in terms of calibration and actual benefits for health management.Conclusion The two AS screening models exhibit acceptable accuracy and differentiation.Therefore,it can be applied in residents'self-health management and in primary care organizations'screening work in a large scale.

Objective:To analyze the association between body health score and the risk of hypertension among health examination population aged 40-65 years.Methods:This study was a cross-sectional study, and 1 104 people aged 40-65 years who underwent physical examination at the Physical Examination Centre of the First People′s Hospital of Fuquan City from March to November 2022 were selected. Clinical data, such as general information, physical examination, body composition and history of hypertension diseases, were collected. The body health score was reported by the Xiaomi Body Fat Scale′s accompanying exercise health software, and was calculated by combining body fat, water and other body composition data. The association between body health score and the risk of hypertension was analyzed using restricted cubic spline regression models, while a sensitivity analysis and sex-stratified analyses were performed. Multivariate logistic regression combined with stratified analysis was used to explore the association between dimensions of body composition and the risk of hypertension.Results:The body health score was significantly lower in hypertensive patients than in non-hypertensive patients among the 1 104 health examination population [52.0(30.0) vs 69.0(35.8) points] ( Z=-8.547, P<0.001). The lower the body health score, the higher the risk of hypertension ( χ2=18.48, PNonlinear<0.001). In the total population, high body mass index was associated with an increased risk of hypertension ( OR=1.744, 95% CI: 1.104-2.765), high protein content was associated with a reduced risk of hypertension ( OR=0.587, 95% CI: 0.344-0.982) (both P<0.05). Gender-stratified analyses showed that high protein content was associated with a reduced risk of hypertension only in men ( OR=0.233, 95% CI: 0.080-0.592) ( P=0.004). High body mass index was positively associated with the risk of hypertension when the body health score was ≥60 points ( OR=2.378, 95% CI: 1.255-4.542) ( P=0.008). High visceral adiposity index (VAI) was positively associated with the risk of hypertension when the body health score was <60 points ( OR=4.395, 95% CI: 1.466-13.620), and high protein content was negatively associated with the risk of hypertension ( OR=0.255, 95% CI: 0.091-0.638) (all P<0.05). Conclusions:Health examination population aged 40-65 years with lower scores of physical health are more likely to have a risk of hypertension. Men should pay attention to the impact of body protein in hypertension risk prevention and control. The effect of body mass index should be noted when body health scores are ≥60 points, and the effect of VAI and body protein should be considered when body health scores are <60 points.