Objective To explore the effect of information system management mode intervention on quality of life in systemic lupus erythematosus (SLE) patients.Methods There were 40 SLE patients after hospitalization and the patients condition were under control.But they still needed outpatient treatment.In our study,when they joined the investigation group,the medical outcomes study 36-item short-form health survey (MOS SF-36) scale was used for measuring the quality of life.All patients would receive a baseline questionnaire evaluation before observation and endpoint evaluation after one year.The SF-36scores of all the patients were investigated and analyzed.Results One year later,the SF-36 scores of the patients indicated that the scores of patients' physiological role functioning,general health,social role functioning,emotional role functioning,mental health improved with statistical significance.The scores of patients' physical functioning,physical pain,and vitality had no statistical significance compared with those one year before.Conclusions Information system management mode can provide long-term,systematic and effective management for the SLE patients.It can improve the level of mental health and quality of life for SLE patients.

Objective To study on the effect of dietary nutrition intervention in community on nutrition knowledge and dietary compliance in patients with psoriasis.Methods 40 patients with psoriasis were given a balanced diet pagoda and food exchange method,along with psoriasis nutrition knowledge manual to make individual and concise diet prescription.The nutrition knowledge and dietary compliance of patients before and after the intervention were compared.Results In a nutrition knowledge test,before the intervention,31 patients obtained a score below 60 which accounted for 77.5％,and 9 patients got higher score which meant 22.5％ patients had a good dietary compliance.After the intervention,18 patients (45.0％) got a score below 60,while 22 (55.5％) patients got a good score,the results after the intervention were statistically higher than those before the intervention.Conclusions Patients with psoriasis have poor cognitions and bad dietary compliance.After dietary nutrition intervention,the nutrition knowledge is enhanced and the dietary compliance gets higher,the dietary structure is improved,and consequently accelerate the recovery of disease.

Objective To compare the planning quality and volume of organ at risk (OAR) between volumetric-modulated arc therapyv (VMAT) and nine-field dynamic intensity-modulated radiation therapy (IMRT) in radiotherapy for cervical cancer patients,explore the best way to cervical cancer radiotherapy,Methods Selected 20 patients with cervical cancer were divided into 2 groups,10 cases for each group.Cervical cancer patients with no surgery was performed for A group (group A),received the radical radiotherapy,prescription dose gross tumor volume (GTV) 56 Gy,clinical target volume (CTV) 50 Gy.Another group of patients with cervical cancer radical surgery (group B),giving the whole basin lymph node auxiliary radiation therapy,prescription dose CTV 50 Gy.Each cervical cancer patient received VMAT and IMRT program designs,the differences in dose volume histogram (DVH),irradiated volume of organ at risk (OAR),heterogeneity index (HI),conformity index (CI),maximum dose (PTVmax),minimum dose (PTVmin) and mean dose (PTV mean) were compared between two plans in 2 groups.Results Two kinds of radiation technology in target area dosimetry were not statistical difference between two groups (P ＞ 0.05).In endanger organs on the protection of two groups of VMAT planning groups in the small intestine V20 and left femoral head V20 had obvious advantages with statistically significance (P ＜ 0.05).Conclusions Two groups of dosimetry between VMAT and IMRT program design are similar in cervical cancer.Two groups of VMAT planning groups to protect endanger organ slightly better than that of IMRT group,but VMAT planning group shortens treatment time and improves the accuracy and efficacy of treatment.

Objective To investigate the current situation of quality of care for people with disabilities and the related factors. Methods In November, 2015, 399 disabled persons from five special service institutions in Hubei, China were conveniently sampled, and investigated with the Chinese version of Quality of Care and Support (QOCS) for people with disability scale and demographic questionnaire. Results The total score of QOCS was (38.11±6.24), and the proportion of total score in the dimensions of caring provision, caring environment and caring information were more than 70%. The score of QOCS was various with the age, domicile, employment, medical insurance, monthly household expenditure and expenditure for food of the people with disabilities, and the age (β=0.06, P<0.01) and medical insurance (β=-0.850, P<0.001) were the independent factors related with the score of QOCS. Conclusion People with disabilities self-reportedly satis-fied in the quality of care in Hubei, and it can be improved from the increase of medical insurance level.

Objective: To develop a model incorporating radiomic features and clinical factors to accurately predict acute ischemic stroke (AIS) outcomes. Materials and Methods: Data from 522 AIS patients (382 male [73.2%]; mean age ± standard deviation, 58.9 ± 11.5 years) were randomly divided into the training (n = 311) and validation cohorts (n = 211). According to the modified Rankin Scale (mRS) at 6 months after hospital discharge, prognosis was dichotomized into good (mRS ≤ 2) and poor (mRS > 2); 1310 radiomics features were extracted from diffusion-weighted imaging and apparent diffusion coefficient maps. The minimum redundancy maximum relevance algorithm and the least absolute shrinkage and selection operator logistic regression method were implemented to select the features and establish a radiomics model. Univariable and multivariable logistic regression analyses were performed to identify the clinical factors and construct a clinical model. Ultimately, a multivariable logistic regression analysis incorporating independent clinical factors and radiomics score was implemented to establish the final combined prediction model using a backward step-down selection procedure, and a clinical-radiomics nomogram was developed. The models were evaluated using calibration, receiver operating characteristic (ROC), and decision curve analyses. Results: Age, sex, stroke history, diabetes, baseline mRS, baseline National Institutes of Health Stroke Scale score, and radiomics score were independent predictors of AIS outcomes. The area under the ROC curve of the clinical-radiomics model was 0.868 (95% confidence interval, 0.825–0.910) in the training cohort and 0.890 (0.844–0.936) in the validation cohort, which was significantly larger than that of the clinical or radiomics models. The clinical radiomics nomogram was well calibrated (p > 0.05). The decision curve analysis indicated its clinical usefulness. Conclusion The clinical-radiomics model outperformed individual clinical or radiomics models and achieved satisfactory performance in predicting AIS outcomes.