Objective To construct a trajectory model for the changes in body roundness index(BRI)of elderly people in China from 2011 to 2018 based on the data derived from Chinese Longitudinal Healthy Longevity Survey(CLHLS),and analyze the influencing factors of different BRI trajectories.Methods Based on the longitudinal cohort data from the CLHLS platform,group-based trajectory model(GBTM)analysis was used to construct longitudinal change trajectories of 3 waves of BRI(2011,2014,and 2018)that meet our research criteria.Unordered multinomial logistic regression analysis was employed to identify the influencing factors of different BRI trajectories.Results A total of 2 512 valid samples were included in the analysis.The BRI trajectory of Chinese elderly people fitted by GBTM was optimally grouped into low-,medium-,and high-level growth trajectory models.There were statistically significant differences among different BRI trajectory groups in gender,length of education,resident place,living with spouse,retirement pension,sleep quality,smoking history,drinking history,continuous exercise,frequency of fruit consumption,frequency of salt-preserved vegetables consumption,and"fruit+protein"dietary patterns(P<0.05).Disordered multiclass logistic regression analysis found that,using the low-level growth trajectory model as a reference,males and those with a history of smoking were less likely to exhibit moderate to high growth levels of BRI trajectories;Elderly people with retirement pensions were more likely to exhibit a moderate to high growth level of BRI trajectory;People with a history of alcohol consumption were more likely to exhibit a moderate steady growth level of BRI trajectory;People with longer than 10 years of education were less likely to exhibit a high level of growth in the BRI trajectory,while urban residents and those who frequently consumed fruits and salted vegetables were more likely to exhibit a high level of growth in the BRI trajectory.Conclusion The trajectory of BRI changes among elderly people in China from 2011 to 2018 can be divided into 3 groups,which are influenced by multiple factors such as gender,resident place,and length of education.It is necessary to pay attention to and make measures in advance to improve the quality of life in the elderly.Countermeasures It is advisable to incorporate BRI as a core indicator in elderly health monitoring systems,establish a dynamic management mechanism for high-risk populations,and implement precision-targeted lifestyle interventions and health guidance.

Objective To explore the mediating effects of potential mediating factors on occur-rence of stroke-associated pneumonia(SAP)in patients with varying degrees of neurological deficit based on real-world case data.Methods A total of 902 hospitalized patients in the acute phase of stroke were selected as study subjects.Clinical characteristics were compared among patients with dif-ferent degrees of neurological deficit and those with SAP.R studio was employed to generate a correla-tion heatmap of potential mediating factors,enabling the identification of primary potential mediating factors.Multivariate logistic regression analysis was conducted to assess the impact of the degree of neurological deficit,potential mediating factors,and stroke-associated pneumonia.R studio was also used to analyze the interaction between the degree of neurological deficit and potential mediating factors,as well as the mediating role of potential mediating factors in the association between neurological deficit and SAP.Results Based on the results of the correlation heatmap,this study screened out five major potential mediating factors,namely consciousness level,neutrophil-to-lymphocyte ratio(NLR),chlorine(Cl),fasting blood glucose(FBG)and albumin(ALB).Multivariate logistic re-gression analysis revealed that the degree of neurological deficit was significantly associated with the level of consciousness,NLR,Cl,FBG levels and the occurrence of SAP.Interaction analysis dem-onstrated an interaction between the degree of neurological deficit and FBG levels.Mediation analy-sis indicated that the total effect of the association between neurological deficit and SAP was 0.302.Both the level of consciousness and NLR exhibited partial mediating effects in the association be-tween neurological deficit and SAP,with mediating effect proportions of 25.92％and 15.15％,re-spectively.Conclusion Consciousness level and NLR have partial mediating effects in the occur-rence of SAP in patients with different neurological deficits.There is an interaction between the de-gree of neurological deficit and the level of FBG.

OBJECTIVES: To investigate the risk factors of recurrence of acute ischemic stroke (AIS) within 1 year and establish a nomogram model for predicting the recurrence risk. METHODS: This study was conducted in two cohorts of AIS patients (≤7 days) hospitalized in Dongzhimen Hospital (modeling set) and Fangshan Hospital (validation set) from March, 2021 to March, 2022. Lasso regression analysis was used to identify the important predictive factors for AIS recurrence within 1 year, and multivariate Logistic regression analysis was performed to analyze the independent factors affecting AIS recurrence. The recurrence risk prediction nomogram model was constructed using R studio, and its discriminating power and calibration were assessed using ROC curve analysis and Hosmer-Lemeshow goodness-of-fit test. RESULTS: The modeling and validation sets contained 28 cases (15.22%) and 21 cases (15.00%) of AIS recurrence, respectively. In the modeling set, compared with the non-relapse group, the recurrence group had higher proportions of patients with age >65 years, diabetes, arrhythmia, constipation after stroke, and FBG >7.5 and significantly higher levels of NLR, UREA, Cr, HbA1c, FIB and TT (P<0.05). Multivariate Logistic regression analysis showed that an age >65 years, arrhythmia, constipation after stroke, FBG >7.5, NLR and Cr were all independent risk factors of AIS recurrence (P<0.05). Hosmer-Lemeshow goodness-of-fit test and calibration curve analysis showed that the risk prediction model had good fitting between the modeling set and the verification set. The ROC curve showed that for predicting AIS recurrence within 1 year, the AUC of the predictive model was 0.857 (95%CI: 0.782-0.932) in the modeling set and 0.679 (95%CI: 0.563-0.794) in the validation set. CONCLUSIONS The nomogram model established based on age >65 years, arrhythmia, constipation after stroke, FBG >7.5, NLR and Cr has a good predictive value for AIS recurrence within 1 year.
Humans ; Nomograms ; Risk Factors ; Recurrence ; Ischemic Stroke/etiology* ; Female ; Male ; Logistic Models ; Aged ; ROC Curve ; Middle Aged ; Stroke/etiology*

OBJECTIVE:To evaluate technology innovation capability of pharmaceutical industry in 30 provinces(regions and cities)and explore suitable innovation mode for each type. METHODS:The entropy method was adopted to establish comprehen-sive evaluation mode of technology innovation capability of pharmaceutical industry. The mode was used to measure comprehensive score and ranking of pharmaceutical industry in 30 provinces(regions and cities). Those 30 provinces(regions and cities)were di-vided into 3 types,including high technology innovation ability (type Ⅰ),medium technology innovation ability (type Ⅱ) and low technology innovation ability (type Ⅲ),and relevant suggestions on innovation mode were put forward. RESULTS & CON-CLUSIONS:According to the establishment of evaluation index system that included innovation resources input capability,innova-tion output capability,innovation potentiality and innovation environment,significant differences were found among these regions in technology innovation capability. For those 8 provinces (regions and cities) with high technology innovation ability,such as Shandong,Jiangsu and so on,which belongs to the type Ⅰ,local pharmaceutical enterprises should adopt the innovation mode of independent innovation dominant,cooperative innovation as a supplement;for those 9 provinces(regions and cities)with medium technology innovation ability,such as Hebei,Sichuan and so on,which belongs to the type Ⅱ,local pharmaceutical enterprises should select the mode of cooperative innovation of the combination of production,teaching and research;for those 13 provinces (regions and cities) with low technology innovation ability,such as Hainan,Ningxia,which belongs to the type Ⅲ,should the mode of giving priority to imitation innovation and cooperative innovation as a supplement.