Objective: To establish the pathological grades of Henoch-Schönlein purpura nephritis(HSPN) in children with diagnostic prediction models by stepwise Fisher discriminant in children. Methods: Based on the investigation of 28 clinical indicators from 144 cases with HSPN came from Children′s Hospital of Chongqing Medical University, the sensitive indicators were found and stepwise Fisher discriminant model was established and its accuracy in predicting the pathological classification of HSPN was tested. Results: There were 5 laboratory indicators and clinical manifestations with different pathological grades of HSPN.In children with pathological grade Ⅱ, Ⅲ and Ⅳ, 5 indicators were screened (P<0.05) and stepwise Fisher discriminant models were established.And the correct rate of comprehensive diagnosis was (61.371±8.740)% in 100 random sampling diagnostic simulations; in children with pathological grade Ⅲa and Ⅲb, 5 indicators were also screened (P<0.05) and stepwise Fisher discriminant models were established.And the correct rate of comprehensive diagnosis was (68.015±5.736)% in 100 random sampling diagnostic simulations. Conclusions The stepwise Fisher discriminant models established in this research have a better diagnostic accuracy in forecasting for pathological grade of HSPN, and have a certain guiding value on early treatment and prognosis evaluation of children with newly diagnosed HSPN.

ObjectiveThis research focused on examining the distinctive characteristics of nutrient intake and dietary patterns among long-lived elderly individuals. Additionally， the study was aimed to explore the specific dietary components that may impact the skeletal muscle mass in this particular group. MethodsThis study was conducted in the Chongming area of Shanghai， China. A total of 206 long-lived elderly individuals aged 90 or above were recruited. The 3-day 24-hour dietary recall method was used to collect dietary information and general demographic data through face-to-face interviews with professional nutritionists. The skeletal muscle mass index（SMI） was measured by bioelectrical impedance analysis（BIA）， and low skeletal muscle mass was diagnosed based on the 2019 Asian Working Group for Sarcopenia criteria. T-test analysis， chi-square test， and logistic regression were used to analyze the relationship between dietary nutrient intake and skeletal muscle mass. ResultsIn terms of food intake categories， compared with the long-lived elderly people with normal muscle mass， the intake of cereals containing miscellaneous beans and vegetables in the long-lived elderly people with low muscle mass was significantly lower（P<0.05）. In terms of the nutrient intake， compared with the long-lived elderly people with normal muscle mass， the intake of total energy， carbohydrate， dietary fiber， vitamin D， folic acid， phosphorus， potassium， magnesium， iron， and manganese in the long-lived elderly people with low muscle mass was significantly lower（P<0.05）. After continuous adjustment for the covariates， multivariate logistic regression analysis found that the intake levels of folic acid and dietary fiber were important factors influencing skeletal muscle mass， Individuals with lower intake levels of folic acid and dietary fiber are at a higher risk of low muscle mass in long-lived elderly individuals ［OR_{folic acid T1}， _{dietary fiber T1} （95%CI）： 2.90 （1.11‒7.61）； 4.09 （1.53‒10.91）］. ConclusionThe consumption of cereals that include a variety of beans and vegetables was noticeably lower in the long-lived elderly individuals with lower muscle mass when compared to those with normal muscle mass. Furthermore， low levels of folic acid and dietary fiber intake are associated with an increased risk of low skeletal muscle mass.