Objective: To compare the consistency between bioelectrical impedance analysis (BIA) and dual energy X ray absorptiometry (DXA) in measuring body composition among Tibetan children and adolescents and to explore the applicability of BIA in plateau region, so as to provide scientific and convenient body composition measurement support among children and adolescents. Methods: From May to June, 2022, a total of 344 Tibetan children and adolescents aged 6-17 years were selected from Golmud Municipal National Middle School and Changjiangyuan Nationality Primary School in Qinghai Province by cluster sampling method, and their fat mass, fat mass percentage and lean mass were measured by DXA and BIA. The consistency and correlation between the two methods were assessed by using the Wilcoxon rank-sum test, Spearman correlation analysis, intraclass correlation coefficient (ICC), and Bland-Altman analysis. Results: DXA measured fat mass and fat mass percentage were significantly higher than those obtained by BIA (6-12 years old: Z =9.91, 11.28; 13-17 years old: Z =9.02, 10.21), while lean mass and lean mass percentage were significantly lower than BIA results (6-12 years old: Z =-11.60, -11.30; 13-17 years old: Z =-10.77, -10.36) (all P < 0.05 ). The two methods showed strong correlations in fat mass and lean mass (all r >0.80, all ICC >0.90), but exhibited poor agreement in fat mass percentage and lean mass percentage (6-12 years old: Lin s CCC =0.64, 0.41; 13-17 years old: Lin s CCC = 0.79 , 0.35). Bland-Altman analysis showed that the difference between the two methods was negatively correlated with the average value in FM%(6-12 years old: r =-0.75, 13-17 years old: r =-0.79, both P <0.01). Conclusion BIA and DXA show high consistency in measuring body fat mass and lean body mass in Tibetan children and adolescents, although some bias is still present in certain individuals.

OBJECTIVE To evaluate the cost-effectiveness of vitamin D analogue for postmenopausal osteoporotic women in China. METHODS A Markov microsimulation model was developed to analyze the clinical and economic outcomes of eldecalcitol， alfacalcidol and calcitriol for postmenopausal osteoporosis from the healthcare system perspective in China. The clinical parameters required for the model were derived from network meta-analysis， while cost and utility data were primarily obtained from the literature. The cycle length was 1 year ， the time horizon was life time， and the willingness-to-pay threshold was 0.5 times the gross domestic product per capita in China in 2023（44 679 yuan/QALY）. Model uncertainty was tested with one-way sensitivity analysis， probabilistic sensitivity analysis， and scenario analysis. RESULTS The quality-adjusted life years （QALYs） for eldecalcitol were calculated to be 12.03 QALYs， which were higher than those for alfacalcidol （11.94 QALYs） and calcitriol （11.92 QALYs）. Meanwhile， the direct medical cost associated with eldecalcitol treatment amounted to 38 805 yuan， which was lower than that of alfacalcidol （45 173 yuan） and calcitriol （45 821 yuan）. The results of the one-way sensitivity analysis showed that the risk ratio of hip fracture and vertebral fracture had a significant impact on the result. The probabilistic sensitivity analysis and scenario analysis showed the robustness of the findings from the base-case analysis. CONCLUSIONS Compared with alfacalcidol and calcitriol， eldecalcitol is likely to be a cost-effective treatment for postmenopausal osteoporotic women in China.

Objective:To study on the relationship between serum levels of SC and SV and insulin resistance in elderly gestational diabetes mellitus.Methods:120 elderly patients with GDM were treated in Obstetrics Department of Yantai Yuhuangding Hospital from Jun. 2019 to Jun. 2021. The healthy women (58 cases) and normal pregnant women (58 cases) were selected as the control group at the same time, and the clinical data and serum samples of subjects were collected. The levels of serum SC, SV, FPG and HbAlc were measured, the HOMA-IR of the aged GDM was calculated, and the difference of serum index expression among the subjects in each group was analyzed. The relationship between serum SC, SV and insulin resistance was analyzed by Person correlation, and the risk factors of GDM were analyzed by Logistic regression.Results:: There was significant difference in HbAlc, HOMA-IR, FPG, SC, and SV among the three groups. The levels of each index in the elderly GDM group were significantly higher than those in the normal pregnancy group and the healthygroup ( P<0.05). Pearson analysis showed that SC ( P=0.558, 0.626, 0.672), SV ( P=0.576, 0.663, 0.696) was positively correlated with HbAlc, HOMA-IR, FPG in elderly patients with GDM ( P<0.001). Logistic regression analysis showed that SC, SV was risk factors for GDM in elderly pregnant women. Conclusion:There is a positive correlation between serum SC, SV level and insulin resistance, which are risk factors for GDM in elderly pregnant women.

Objective This study aims to evaluate the effectiveness of intelligent bed management model in integrating bed resources in a large comprehensive hospital.Methods Inpatient data from a tertiary hospital between January 2021 and De-cember 2024 were collected.An intelligent hospital-wide bed management platform was constructed to implement bed resource sharing mechanisms and establish a standardized bed reservation grading system.The implementation effect of the system was e-valuated from the perspective of bed occupancy rate,average length of stay,and patient satisfaction.Results After implementa-tion,bed occupancy rates in key monitored departments moved into a reasonable range:Rehabilitation Medicine Department fell from 113.18％to 101.48％(t=4.26,P＜0.01),while Neurology Department increased from 88.18％to 96.20％(t=3.85,P＜0.01).Annual inpatient admissions increased from 83,931 to 103,852(x2=156.82,P＜0.001),and average length of stay shortened from 7.15 days to 6.21 days(t=4.73,P＜0.01).The admission waiting time was cut by 72.7 hours(-43.1％),and satisfaction with bed allocation rationality improved by 11.2 points(t=5.94,P＜0.001).Staff time spent on bed-assignment fell by 42 minutes per shift(t=8.92,P＜0.001),and cross-department transfers increased by 378 episodes per month(x2=145.26,P＜0.001).Conclusion The intelligent bed management model can effectively improve hospital bed utili-zation efficiency,enhance healthcare service quality,reduce staff workload,and merits wider application in similar hospitals.

Objective:To study on the relationship between serum levels of SC and SV and insulin resistance in elderly gestational diabetes mellitus.Methods:120 elderly patients with GDM were treated in Obstetrics Department of Yantai Yuhuangding Hospital from Jun. 2019 to Jun. 2021. The healthy women (58 cases) and normal pregnant women (58 cases) were selected as the control group at the same time, and the clinical data and serum samples of subjects were collected. The levels of serum SC, SV, FPG and HbAlc were measured, the HOMA-IR of the aged GDM was calculated, and the difference of serum index expression among the subjects in each group was analyzed. The relationship between serum SC, SV and insulin resistance was analyzed by Person correlation, and the risk factors of GDM were analyzed by Logistic regression.Results:: There was significant difference in HbAlc, HOMA-IR, FPG, SC, and SV among the three groups. The levels of each index in the elderly GDM group were significantly higher than those in the normal pregnancy group and the healthygroup ( P<0.05). Pearson analysis showed that SC ( P=0.558, 0.626, 0.672), SV ( P=0.576, 0.663, 0.696) was positively correlated with HbAlc, HOMA-IR, FPG in elderly patients with GDM ( P<0.001). Logistic regression analysis showed that SC, SV was risk factors for GDM in elderly pregnant women. Conclusion:There is a positive correlation between serum SC, SV level and insulin resistance, which are risk factors for GDM in elderly pregnant women.

Objective This study aims to evaluate the effectiveness of intelligent bed management model in integrating bed resources in a large comprehensive hospital.Methods Inpatient data from a tertiary hospital between January 2021 and De-cember 2024 were collected.An intelligent hospital-wide bed management platform was constructed to implement bed resource sharing mechanisms and establish a standardized bed reservation grading system.The implementation effect of the system was e-valuated from the perspective of bed occupancy rate,average length of stay,and patient satisfaction.Results After implementa-tion,bed occupancy rates in key monitored departments moved into a reasonable range:Rehabilitation Medicine Department fell from 113.18％to 101.48％(t=4.26,P＜0.01),while Neurology Department increased from 88.18％to 96.20％(t=3.85,P＜0.01).Annual inpatient admissions increased from 83,931 to 103,852(x2=156.82,P＜0.001),and average length of stay shortened from 7.15 days to 6.21 days(t=4.73,P＜0.01).The admission waiting time was cut by 72.7 hours(-43.1％),and satisfaction with bed allocation rationality improved by 11.2 points(t=5.94,P＜0.001).Staff time spent on bed-assignment fell by 42 minutes per shift(t=8.92,P＜0.001),and cross-department transfers increased by 378 episodes per month(x2=145.26,P＜0.001).Conclusion The intelligent bed management model can effectively improve hospital bed utili-zation efficiency,enhance healthcare service quality,reduce staff workload,and merits wider application in similar hospitals.

Objectives:To explore obesity prevalence and its association with dietary patterns among Tibetan pastoralists during the urbanization transition in Qinghai Province.Methods:Using an open cohort study design, 1 003 subjects were enrolled at baseline in 2018, 599 were followed up, and 1 012 were newly recruited in 2022. A total of 1 913 adults over 18 years were included in the study, and a questionnaire survey and health examination were conducted. Factor analysis was used to identify dietary patterns, and a mixed-effects model was used to analyze the association between dietary patterns and obesity.Results:From 2018 to 2022, the prevalence rates of overweight, obesity, and central obesity were 27.6%, 33.8%, and 54.6%, respectively. Age-sex-standardized prevalence of obesity and central obesity increased. Three dietary patterns were identified: the modern pattern was characterized by frequent consumption of pork, poultry, processed meat, fresh fruits, sugary drinks, salty snacks, etcetera; the urban pattern was characterized by frequent consumption of refined carbohydrates, beef and mutton, vegetables and eggs, etcetera; and pastoral pattern featured frequent consumption of tsamba, Tibetan cheese, buttered/milk tea, and whole-fat dairy products. After adjusting for demographic characteristics, socioeconomic status, and lifestyle factors, compared with the T1, subjects in the T3 of urban pattern scores were more likely to be overweight ( OR=2.09, 95% CI: 1.10-3.95) and overweight/obese ( OR=1.23, 95% CI: 1.00-1.51), whereas those in the T3 of pastoral pattern scores had a lower risk of overweight ( OR=0.45, 95% CI: 0.24-0.84), obesity ( OR=0.81, 95% CI: 0.69-0.95), overweight/obesity ( OR=0.75, 95% CI: 0.61-0.91) and central obesity ( OR=0.58, 95% CI: 0.38-0.89). Conclusions:Prevalence of obesity and central obesity was high among Tibetan pastoralists during the urbanization transition. Urban dietary pattern was a risk factor for overweight and overweight/obesity, whereas pastoral dietary pattern was a protective factor for overweight, obesity, overweight/obesity, and central obesity. Tailored interventions are needed to improve local people's health.

Objective: To assess the association of single nucleotide polymorphisms (SNPs) in SLCO1B3 gene with prognosis of breast cancer (BC) patients treated with neoadjuvant chemotherapy of TA regimen (taxane and antharcycline drugs). Methods: 439 female BC patients were recruited and treated with neoadjuvant chemotherapy of TA regimen. A blood sample (2 ml) of peripheral blood was collected from each patient before chemotherapy. Tagging SNPs (tag-SNPs) were selected. We investigated the association of tag-SNPs with prognosis, by Sequenom Mass ARRAY system platform, characterizing tag-SNPs. The hazard ratio (HR) and 95% confidence interval (CI) for progression or death were calculated by multivariable-adjusted Cox regression model. Results: Seven tag-SNPs (rs11045689, rs200104106, rs3764006, rs3834935, rs4149117, rs7305323 and rs73241801) were selected for study. Compared with individuals carrying the rs11045689 GG genotype, individuals carrying rs11045689 AA genotype performed worse PFS and OS, with the HR (95% CI) for progression being 1.39 (1.11~1.75) and the HR (95% CI) for death being 1.38 (1.04~1.83). Compared with individuals carrying the rs73241801 CC genotype, individuals carrying rs73241801 TT genotype performed better OS (P=0.041), with the HR (95% CI) for death being 0.65 (0.44~0.94). The number of risk allele was significantly associated with PFS (P=0.012) and OS (P=0.017) of BC patients by accumulation analysis. Compared with individuals carrying one or less than one risk allele, individuals carrying four risk alleles performed worse PFS and OS, with the HR (95% CI) for progression being 1.37 (1.09~1.72) and the HR (95% CI) for death being 1.36 (1.02~1.81). Conclusion The variations of rs11045689 and rs73241801 in SLCO1B3 gene were significantly associated with prognosis of BC patients treated with neoadjuvant chemotherapy of TA regimen, which might serve as biomarkers for predicting prognosis of BC patients treated with neoadjuvant chemotherapy.

Objective To assess the association of single nucleotide polymorphisms ( SNPs) in SLCO1B3 gene with prognosis of breast cancer (BC) patients treated with neoadjuvant chemotherapy of TA regimen (taxane and antharcycline drugs). Methods 439 female BC patients were recruited and treated with neoadjuvant chemotherapy of TA regimen.A blood sample (2 ml) of peripheral blood was collected from each patient before chemotherapy. Tagging SNPs (tag?SNPs) were selected. We investigated the association of tag?SNPs with prognosis, by Sequenom Mass ARRAY system platform, characterizing tag?SNPs. The hazard ratio ( HR ) and 95% confidence interval ( CI ) for progression or death were calculated by multivariable?adjusted Cox regression model. Results Seven tag?SNPs ( rs11045689, rs200104106, rs3764006, rs3834935, rs4149117, rs7305323 and rs73241801) were selected for study. Compared with individuals carrying the rs11045689 GG genotype, individuals carrying rs11045689 AA genotype performed worse PFS and OS, with the HR (95% CI) for progression being 1.39 (1.11～1.75) and the HR (95% CI) for death being 1.38 ( 1.04～1.83). Compared with individuals carrying the rs73241801 CC genotype, individuals carrying rs73241801 TT genotype performed better OS (P＝0.041), with the HR (95% CI) for death being 0.65 (0.44～0.94). The number of risk allele was significantly associated with PFS (P＝0.012) and OS (P＝0.017) of BC patients by accumulation analysis. Compared with individuals carrying one or less than one risk allele, individuals carrying four risk alleles performed worse PFS and OS, with the HR (95%CI) for progression being 1.37 (1.09～1.72) and the HR ( 95% CI) for death being 1.36 (1.02～1.81). Conclusion The variations of rs11045689 and rs73241801 in SLCO1B3 gene were significantly associated with prognosis of BC patients treated with neoadjuvant chemotherapy of TA regimen, which might serve as biomarkers for predicting prognosis of BC patients treated with neoadjuvant chemotherapy.

Objective To assess the association of single nucleotide polymorphisms ( SNPs) in SLCO1B3 gene with prognosis of breast cancer (BC) patients treated with neoadjuvant chemotherapy of TA regimen (taxane and antharcycline drugs). Methods 439 female BC patients were recruited and treated with neoadjuvant chemotherapy of TA regimen.A blood sample (2 ml) of peripheral blood was collected from each patient before chemotherapy. Tagging SNPs (tag?SNPs) were selected. We investigated the association of tag?SNPs with prognosis, by Sequenom Mass ARRAY system platform, characterizing tag?SNPs. The hazard ratio ( HR ) and 95% confidence interval ( CI ) for progression or death were calculated by multivariable?adjusted Cox regression model. Results Seven tag?SNPs ( rs11045689, rs200104106, rs3764006, rs3834935, rs4149117, rs7305323 and rs73241801) were selected for study. Compared with individuals carrying the rs11045689 GG genotype, individuals carrying rs11045689 AA genotype performed worse PFS and OS, with the HR (95% CI) for progression being 1.39 (1.11～1.75) and the HR (95% CI) for death being 1.38 ( 1.04～1.83). Compared with individuals carrying the rs73241801 CC genotype, individuals carrying rs73241801 TT genotype performed better OS (P＝0.041), with the HR (95% CI) for death being 0.65 (0.44～0.94). The number of risk allele was significantly associated with PFS (P＝0.012) and OS (P＝0.017) of BC patients by accumulation analysis. Compared with individuals carrying one or less than one risk allele, individuals carrying four risk alleles performed worse PFS and OS, with the HR (95%CI) for progression being 1.37 (1.09～1.72) and the HR ( 95% CI) for death being 1.36 (1.02～1.81). Conclusion The variations of rs11045689 and rs73241801 in SLCO1B3 gene were significantly associated with prognosis of BC patients treated with neoadjuvant chemotherapy of TA regimen, which might serve as biomarkers for predicting prognosis of BC patients treated with neoadjuvant chemotherapy.