Objective To analyze probable risk factors to Henoch-Sch?nlein purpura (HSP) in Tibetan children so as to bring evidences for correct identification of high-risk children in plateau areas. Methods 140 high-altitude Tibetan children with HSP admitted to Shannan People's Hospital of Tibet Autonomous Region from October 2015 to October 2018 were enrolled, and 140 high-altitude Tibetan healthy children and 140 plain area HSP children were selected as the control. Gender, age, family history, allergy, past history (rheumatic disease, autoimmune disease, asthma), clinical phenotype, biochemical markers (antibody positive rate, platelet count and hemoglobin), clinical efficacy and recurrence were retrospective analyzed. The risk factors of HSP in the high-altitude Tibetan children were analyzed by univariate and multivariate Logistic regression analysis. Results It was shown by univariate analysis that the proportion of allergic history and past history of high-altitude HSP children was higher than those of high-altitude healthy children (allergic history: 35.7% vs. 11.4%, past history: 21.4% vs. 5.7%, both P < 0.05). Compared with plain area HSP children, the age of high-altitude HSP children was increased (years old: 6.5±2.3 vs. 5.3±2.2), the clinical phenotype was more complex (37.9% vs. 57.1% for simple skin and limb type, 21.4% vs. 14.3% for abdominal type, 28.6% vs. 21.4% for renal type, 7.1% vs. 5.0% for brain or lung type, 5.0% vs. 2.2% for complex type), the positive rate of antibody was increased (64.3% vs. 50.0%), platelet count was decreased (×109/L: 116.2±12.3 vs. 176.8±35.4), hemoglobin level was increased (g/L: 125.6±15.7 vs. 113.8±10.9), recurrence rate was lower (4.3% vs. 10.7%), and the difference was statistically significant (all P < 0.05). It was shown by multivariate Logistic regression analysis that age, allergic history and past history were independent risk factors for HSP in high-altitude Tibetan children [age: odds ratio (OR) = 1.263, 95% confidence interval (95%CI) = 1.063-1.968; allergic history: OR = 1.765, 95%CI = 1.326-2.452, past history: OR =1.421, 95%CI = 1.102-2.232, all P < 0.05]. Clinical phenotypic and biochemical indexes were important risk factors affecting the clinical efficacy of high-altitude Tibetan HSP children (non-simple skin and limb type: OR = 2.123, 95%CI =1.623-2.869; antibody positive: OR = 1.865, 95%CI = 1.502-2.768; both P < 0.05). Conclusions It is different of HSP occurrence in Tibetan children from plateau and plain areas. Attention should be paid to screening age, allergy history, past history, clinical phenotype, antibody positive and other high risk children. Early and effective intervention can improve clinical curative effect and reduce recurrence.

Objective: To explore the relationship between glycemic control and visceral adiposity index (VAI) among type 2 diabetes mellitus (T2DM) patients.Methods: A community-based epidemiological field study for patients with T2DM aged ≥ 40 years was conducted in China.Every participant underwent physical examinations, biochemical tests of fasting glucose, glycosylated hemoglobin (HbA1c), total cholesterol (TC), triglyceride (TG), high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C) and so on, and a questionnaire, including anthropometric characteristics, lifestyle, disease history, family history, and medication use.Those participants with HbA1c ≥7.0% were classified as the poorly controlled in our analysis of relationship between glycemic control and VAI.Anthropometric characteristics, lifestyle, and biochemical indexes of the participants were compared among the groups of different VAI levels.Logistic models were applied in multiple analysis adjusting for possible confounders.Results: A total of 1 607 patients with T2DM were recruited in our analysis with a mean age of (59.4±8.1) years and an average T2DM duration of (7.0±6.4) years.Among them, 78.3% were on hypoglycemic therapy.The cutoff points of quartiles of VAI were calculated for the males and females, respectively.According to the ascending order of the quartiles of VAI, the participants were divided into four groups, i.e.Q1, Q2, Q3, and Q4.The poor glycemic control rate for these groups were 60.6%, 65.7%, 70.1%, and 71.0%, respectively (Trend χ2=12.20, P<0.001).After adjustment for age, gender, systolic blood pressure (SBP), diastolic blood pressure (DBP), LDL-C, smoking, cardio-cerebral vascular disease (CVD) history, hypoglycemic therapy, T2DM duration, and family history of diabetes, the Logistic regression models showed that the glycemic control rate was significantly associated with VAI levels among the patients with T2DM.Compared with the participants in group Q1, the ORs of poor glycemic control for those in groups Q2, Q3, and Q4 were 1.239 (95%CI 0.918 to 1.672), 1.513 (95%CI 1.117 to 2.050), and 1.535 (95%CI 1.128to 2.088), respectively (trend P=0.003).With each quartile increase in VAI, the OR of poor glycemic control was 1.162 (95%CI 1.054 to 1.282).Conclusion: The glycemic control among the patients with T2DM is significantly associated with VAI.High level of VAI is an indicator of poor glycemic control.