Objective To explore the clinical characteristics,relationship between treatment and prognosis of sarcoidosis and relationship of relapse to prednisone.Methods The clinical data of 165 patients with sarcoidosis were collected.The clinical characteristics,treatment process and prognosis,relationship of relapse with prednisone maintenance dose and course of treatment were retrospective analyzed.Results Among them,the most common involved systems were lung and lymph nodes.The involvement rates of lung,extra-thorax lymph nodes,cutaneous,ocular,salivary glands,liver & spleen,kidney and nervous system was 87.3％,51.5％,6.7％,6.1％,6.1％,4.2％,1.2％ and 1.2％ respectively.Unilateral tonsil,breast,ovary and bone involvement was seen in only 1 patient respectively with an involvement rate of 0.6％.A retrospective analysis was made for 114 cases with complete follow-up data.The mean follow-up period was (11.7 ± 5.7) (5-32) years.And 46 cases had no symptom on routine medical examinations.The most common consulted departments were respiratory,dermatological and general surgery departments.Among 74 patients on prednisone,48 patients (64.9％) were cured while 13 patients (17.6％) relapsed.Whereas in the observation group,25/38 patients (65.8％) remitted spontaneously and only 1 patient (2.6％) had recurrence.Relapse occurred more often in prednisone therapy group than in observation group (P ＜ 0.05).Longer prednisone 10-15 mg daily maintenance and a longer total course of treatment were associated with fewer recurrence(P ＜ 0.05).Conclusions The clinical manifestations of sarcoidosis vary and many patients have a self-limiting course.The most common involved systems are lung and lymph nodes.Stage Ⅰ / Ⅱ disease should be observed before prednisone therapy.Prednisone 10-15 mg daily for at least 6 months and a total course of treatment over 18 months may prevent relapse.

Objective:To construct a clinical prediction model for early postoperative parastomal hernia in patients with enterostomy and to conduct internal and external validation and evaluation of clinical benefit.Methods:A total of 1 071 patients with enterostomy treated in Zhongshan Hospital Affiliated to Fudan University from October 2013 to December 2020 were selected as the research objects by the convenient sampling method. Patients from October 2013 to December 2019 were selected as the modeling group ( n=943) . The data of patients were obtained by questionnaire and other methods. The clinical prediction model of early postoperative parastomal hernia in patients with enterostomy was constructed based on Cox regression analysis and the model was internally verified by Bootstrap method. Patients from January to December 2020 were selected as the validation group ( n=128) for external validation of the model. C-statistic, area under receiver operating characteristic curve and calibration map were used to evaluate the discrimination and calibration of the model. Decision curve analysis was used to draw decision curve analysis chart to evaluate the clinical benefit of the prediction model. Results:Age, history of alcohol consumption, postoperative body mass index, diabetes mellitus, respiratory diseases, history of abdominal surgery, stoma route, stoma nature and C-reactive protein were independent influencing factors for early postoperative parastomal hernia in patients with enterostomy ( P<0.05) . The C- index value of early postoperative nomogram was 0.710 (95% CI: 0.660-0.750) . Conclusions:The clinical prediction model of early parastomal hernia in patients with enterostomy has good predictive performance, which can help clinical medical staff to screen out high-risk groups in time and guide medical staff to focus on prevention.

Objective:To construct a clinical prediction model for early postoperative parastomal hernia in patients with enterostomy and to conduct internal and external validation and evaluation of clinical benefit.Methods:A total of 1 071 patients with enterostomy treated in Zhongshan Hospital Affiliated to Fudan University from October 2013 to December 2020 were selected as the research objects by the convenient sampling method. Patients from October 2013 to December 2019 were selected as the modeling group ( n=943) . The data of patients were obtained by questionnaire and other methods. The clinical prediction model of early postoperative parastomal hernia in patients with enterostomy was constructed based on Cox regression analysis and the model was internally verified by Bootstrap method. Patients from January to December 2020 were selected as the validation group ( n=128) for external validation of the model. C-statistic, area under receiver operating characteristic curve and calibration map were used to evaluate the discrimination and calibration of the model. Decision curve analysis was used to draw decision curve analysis chart to evaluate the clinical benefit of the prediction model. Results:Age, history of alcohol consumption, postoperative body mass index, diabetes mellitus, respiratory diseases, history of abdominal surgery, stoma route, stoma nature and C-reactive protein were independent influencing factors for early postoperative parastomal hernia in patients with enterostomy ( P<0.05) . The C- index value of early postoperative nomogram was 0.710 (95% CI: 0.660-0.750) . Conclusions:The clinical prediction model of early parastomal hernia in patients with enterostomy has good predictive performance, which can help clinical medical staff to screen out high-risk groups in time and guide medical staff to focus on prevention.