Objective To investigate the effect of statin on trabecular bone microstructure by using trabecular bone score (TBS), a new type of bone microstructure evaluation index. Methods A total of 253 middle and aged patients hospitalized in the First Affiliated Hospital of Nanjing Medical University between January 2014 and March 2016 were retrospectively analyzed. According to whether statin was used or not, patients were divided into two groups: 90 patients in the statin use group (statin was use for more than 1 year) and 163 in the control group (not taken any statin). Serum biochemical indicators, such as triacylglycerol, total cholesterol, high density lipoprotein cholesterol, low density lipoprotein cholesterol, alkaline phosphatase, fasting blood glucose and 25 hydroxy vitamin D, were compared between the two groups. Dual energy X-ray absorptiometry (DXA) was used to measure the bone mineral density (BMD) of lumbar spine and femoral neck. TBS was calculated with TBS iNsight? software, and the DXA image of lumbar spine were analyzed. Results Values of total cholesterol and low density lipoprotein cholesterol were significantly lower in statin group compared with those of control group (P<0.001), while no significant differences in other biochemical indicators between two groups (P>0.05). There was higher lumbar spine BMD statin group compared to that of control group (g/cm2:1.04 ± 0.19 vs. 0.96 ± 0.14, P<0.01). There was higher lumbar spine BMD and higher TBS (1.31±0.09 vs. 1.26±0.09, P<0.01) in statin group than that of control group. There was no difference in the femoral neck BMD between the two groups (P>0.05). Conclusion Statin increases lumbar spine BMD and improves trabecular bone microstructure in middle and aged people.

Objective:To investigate the correlation between depression risk and the test time for dual-task timed up-and-go(TUG)test in the elderly.Methods:A total of 193 elderly volunteers aged 60 years and over who lived in the Nanjing community of Jiangsu Province were recruited.The Geriatric Depression Scale(GDS)was used to screen for geriatric depression.The single-task TUG(TUG-single), TUG with additional operational tasks(TUG-manual)and TUG with additional cognitive tasks(TUG-cognitive)were tested in all subjects.The differences in test times taken to complete TUG-single, TUG-manual and TUG-cognitive tests were analyzed by ANOVA.The correlation of GDS scores with test time for TUG-single, TUG-manual, TUG-cognitive was analyzed by using Pearson's correlation.Results:The average test times for TUG-cognitive and TUG-manual tests were longer than that for TUG-single test( P<0.0001). The higher the GDS score, the longer the TUG-single test time, with a significantly positive correlation between GDS and the test time for TUG-single( r=0.2261, P=0.0016). Similarly, GDS score showed significantly positive correlations with the test time for TUG-manual( r=0.2359, P=0.0010)and the TUG-cognitive test time( r=0.1946, P=0.0067). Conclusions:The increase of depression risk is significantly and positively correlated with the prolongation of the TUG test time in the elderly.The TUG test can be used to assess the functional mobility in elderly patients with depression.

Objective:To explore the feasibility of using ultrasound to evaluate the abdominal fat volume to predict bone quality.Methods:A total of 376 men, aged from 34 to 90 years, were recruited.The trabecular bone score(TBS)was measured by TBS iNsight ? software.Bone mineral density(BMD)of the femoral neck, total hip, and lumber spine, as well as android and gynoid fat mass were measured using dual-energy X-ray absorptiometry(DXA).Preperitoneal fat thickness and intraperitoneal visceral fat thickness were assessed by ultrasound. Results:BMD of the femoral neck, total hip, and lumber spine was significantly positively correlated with body mass index(BMI)( r=0.346, 0.378, 0.218, all P<0.001), while TBS was significantly negatively associated with BMI( r=-0.353, P<0.001); Femoral neck BMD, lumbar BMD and TBS were positively correlated with total lean mass( β=0.296, P<0.001; β=0.280, P<0.001; β=0.182, P=0.009; respectively), while femoral neck BMD, total hip BMD and TBS were negatively correlated with total fat mass( β=-0.161, P=0.036; β=-0.160, P=0.041; β=-0.354, P<0.001; respectively).Compared with fat mass, BMD was more closely correlated with BMI( P<0.001), while TBS was negatively correlated only with android fat mass( β=-0.297, P=0.017).TBS was inversely associated only with visceral fat thickness( β=-0.244, P=0.04), but not preperitoneal fat thickness( β=-0.119, P=0.256). Conclusions:Abdominal fat mass, especially intraperitoneal visceral fat mass, may have adverse effects on bone quality.Intraperitoneal visceral fat thickness measured by ultrasound is helpful for the prediction of bone quality.

Objective:To analyze the factors influencing sarcopenia in older patients with chronic diseases, both in community settings and hospitals, and to develop a risk prediction model for sarcopenia.Methods:We recruited a total of 403 older adults with chronic diseases, consisting of 251 individuals from a community in Nanjing, Jiangsu Province, and 152 hospitalized patients from the Department of Geriatrics at Jiangsu Province Hospital.Assessments were conducted using a general information questionnaire, serum sample collection, the mini nutritional assessment-short form(MNA-SF), the mini-mental state examination(MMSE), and the geriatric depression scale(GDS).Binary Logistic regression analysis was employed to identify influencing factors and to construct a risk prediction model for sarcopenia, which was illustrated using a nomogram.The model's discrimination was evaluated using the receiver operating characteristic(ROC)curve and the area under the curve(AUC).Results:The prevalence of sarcopenia among community-dwelling older adults with chronic conditions was found to be 4.0%(10/251).In contrast, the prevalence in hospitalized older adults with chronic conditions was significantly higher at 36.2%(55/152).Binary Logistic regression analysis identified several independent risk factors for sarcopenia, including hospitalization( OR=14.391、95% CI: 6.284-32.955、 P<0.001), male gender( OR=3.321、95% CI: 1.587-6.950、 P=0.001), lower low-density lipoprotein cholesterol(LDL-C)levels( OR=2.542、95% CI: 1.160-5.572、 P=0.020), cognitive impairment( OR=2.654、95% CI: 1.269-5.550、 P=0.010), and the use of four or more types of medication( OR=2.328、95% CI: 1.952-5.689、 P=0.044).Based on these risk factors, a nomogram was developed as a predictive model for assessing sarcopenia risk.The AUC for this prediction model was 0.860(95% CI: 0.815-0.912), indicating a sensitivity of 0.831 and a specificity of 0.760. Conclusions:The incidence of sarcopenia is notably high among older patients with chronic diseases.A risk prediction model that incorporates factors such as hospitalization history, gender, LDL-C levels, cognitive function, and types of medication demonstrates significant potential for predicting sarcopenia.This model serves as a valuable foundation for the early screening and intervention of sarcopenia.