Objective To construct a risk prediction model for atherosclerosis(AS)in patients with rheumatoid arthritis(RA)based on Lasso-Logistic regression analysis and provide a scientific basis for individualized clinical intervention.Methods The retrospective clinical data were collected from 344 RA patients,including 86 patients with AS(RA+AS group)and 258 patients with without AS(RA group).The clinical characteristics and initial laboratory test results were compared between the two groups.Lasso regression was used to screen the key predictive variables,and Logistic regression was combined to construct the prediction mode.The discrimination of the model was evaluated through the receiver operating characteristic(ROC)curve and the area under the curve(AUC).The Hosmer-Lemeshow test was used to assess the calibration,and decision curve analysis was used to verify the clinical applicability of the model.Results Seven predictive variables were identified including RA disease duration,DAS28 score,C-reactive protein(CRP),triglycerides(TG),high-density lipoprotein cholesterol(HDL-C),fasting blood glucose(FBG)and hypertension.The risk prediction model for AS in RA patients was:Logit(P)=-2.674+0.605×RA disease duration+0.393×DAS28 score+0.310×CRP+1.346×TG-2.289×HDL-C+0.679×FBG+0.711×hypertension.The AUC of the model was 0.965(95%CI:0.943-0.987),and the Hosmer-Lemeshow test showed χ2=0.547,P=1.000,indicating good discrimination and calibration.Clinical decision curve analysis showed that the probability threshold ranged from 7%to 92%,demonstrating high clinical applicability.Conclusion The AS risk prediction model constructed in this study for RA patients can effectively identify high-risk individuals,supporting the development of personalized prevention and treatment strategies.

Objective To construct a risk prediction model for atherosclerosis(AS)in patients with rheumatoid arthritis(RA)based on Lasso-Logistic regression analysis and provide a scientific basis for individualized clinical intervention.Methods The retrospective clinical data were collected from 344 RA patients,including 86 patients with AS(RA+AS group)and 258 patients with without AS(RA group).The clinical characteristics and initial laboratory test results were compared between the two groups.Lasso regression was used to screen the key predictive variables,and Logistic regression was combined to construct the prediction mode.The discrimination of the model was evaluated through the receiver operating characteristic(ROC)curve and the area under the curve(AUC).The Hosmer-Lemeshow test was used to assess the calibration,and decision curve analysis was used to verify the clinical applicability of the model.Results Seven predictive variables were identified including RA disease duration,DAS28 score,C-reactive protein(CRP),triglycerides(TG),high-density lipoprotein cholesterol(HDL-C),fasting blood glucose(FBG)and hypertension.The risk prediction model for AS in RA patients was:Logit(P)=-2.674+0.605×RA disease duration+0.393×DAS28 score+0.310×CRP+1.346×TG-2.289×HDL-C+0.679×FBG+0.711×hypertension.The AUC of the model was 0.965(95%CI:0.943-0.987),and the Hosmer-Lemeshow test showed χ2=0.547,P=1.000,indicating good discrimination and calibration.Clinical decision curve analysis showed that the probability threshold ranged from 7%to 92%,demonstrating high clinical applicability.Conclusion The AS risk prediction model constructed in this study for RA patients can effectively identify high-risk individuals,supporting the development of personalized prevention and treatment strategies.

【Objective】 To investigate whether 17β-estradiol (βE2) can activate the NF-E2-related factor 2(Nrf2) pathway to resist the downregulation of retinal function induced by light damage. 【Methods】 Two weeks after female SD rats were castrated, they were divided into the following six groups: control group (control), light-damage group (LD), saline group, saline light-damage group (saline-LD), βE2 group, and βE2 light-damage group (βE2-LD). Rats in the light-damage were exposed to 8000-lux fluorescence for 12 h after 18 h of dark adaptation. Then electroretinogram (ERG), immunofluorescence, Real-time PCR and immunohistochemical detection were performed after one day of dark recovery. 【Results】 The results of ERG showed that ERG was lower in LD group than in control group (P<0.05). After light damage, ROS was increased and the mRNA expressions of antioxidant genes, such as Sod1, Sod2, Cat, Glrx1, Glrx2, Txn1, and Txn2 were decreased (all P<0.05). After βE2 administration, compared with those in saline-LD, ROS level was decreased, the levels of Nrf2 protein and antioxidant genes were increased, and ERG was recovered to a certain extent in βE2-LD (P<0.05). 【Conclusion】 βE2 can restore the function of rat retina, and its mechanism might be related to the upregulation of Nrf2 and antioxidant genes.

Objective To explore clinical application value of Traditional Chinese Medicine nursing technology to decrease postoperative complication after breast cancer surgery.Methods Randomized controlled trial,large sample size,multicenter study design were adopted,and 200 patients who met inclusion criteria were randomly divided into the control group and the treatment group (100 cases in each group).The control group received routine nursing methods after breast cancer surgery.The treatment group received routine nursing methods as well as Traditional Chinese Medicine nursing intervention,such as auricular application pressure,acupoint sticking,meridian moxibustion.Data of arm circumference,Athens insomnia scale(AIS),symptom in affected arm were collected a week before and after surgery,and range of motion of shoulder joint was evaluated 3 months after surgery to compare postoperative subcutaneous effusion,skin flap necrosis,limb edema,sleep disorder and occurrence of shoulder joint dysfunction in two groups.Results The cases developed postoperative subcutaneous effusion,skin flap necrosis,limb edema were different in two groups,but the differences were not statistically significant(P＞0.05).There were significant differences between two groups in affected arm pain,swelling,skin tension,sleep,and shoulder joint dysfunction after 3 months(P＜0.05).Conclusion Traditional Chinese Medicine nursing technology can effectively decrease postoperative complication after breast cancer surgery.

Objective To investigate the effect of comprehensive intervention led by nursing staffers on the drug compliance in patients with hepatitis B virus-related hepatocellular carcinoma (HCC) after receiving transcatheter arterial chemoembolization (TACE) treatment.Methods By using random sampling method,a total of 96 patients with hepatitis B virus-associated HCC,who had been treated with TACE and had taken nucleotide analogue drug for one month in the interventional department of a certain grade Ⅲ tumor hospital,were enrolled in this study.Under the premise of informed consent,comprehensive intervention,which was led by nursing staffers and was participated by both doctors and nurses,was conducted.Results After comprehensive intervention,the average score of drug compliance was (93.670±6.046) points,while the pre-intervention average score of drug compliance was (82.040±10.024) points,the difference between the two was statistically significant (P＜0.05).The ratio of patients who showed good drug compliance changed from pre-intervention 62.4％ to post-prevention 97.8％(P＜0.05).The post-prevention of patients,whose hepatitis B virus deoxyribonucleic acid (HBVDNA) level was within the normal range,was 45.16％,which was highcr than the pre-intervention ratio of 15.05％,the difference between the two was statistically significant (P＜0.05).Conclusion The comprehensive intervention led by nursing staffers can effectively improve the drug compliance in patients with hepatitis B virus-associated HCC after receiving TACE,and can reliably control serum HBVDNA level as well.