Search

Pelvic fracture is a severe injury resulting in high mortality and disability rate, and brought heavy health burden. However, existing research conclusions only restricted to the national level while global estimation of pelvic fracture was lack. We aimed to estimate the global incidence, prevalence, and years lived with disability (YLDs) of pelvic fracture by region, age, gender, cause and sociodemographic index (SDI).Publicly available data was gained based on the Global Burden of Disease Study (GBD) 2019. We calculated the estimated annual percent change (EAPC) to analyze the temporal trends of pelvic fractures from 1990 to 2019. Incidence, prevalence and YLDs were analyzed by region, age, gender, cause and SDI. Spearman's rank order correlation was used to determine the correlation between SDI and incidence, prevalence and YLDs.Globally, there were about 6 million incident cases, 18.8 million prevalent cases and 3.2 million YLDs cases of pelvic fractures for both sexes in 2019. The incidence number increased over 40% compared to 1990. However, the age standardized rate of incidence (ASIR) (EAPC = -0.22; 95% CI, -0.38 to -0.05), prevalence (ASPR) (EAPC = -0.42; 95% CI, -0.51 to -0.32) and YLDs (ASYR) (EAPC = -0.41; 95% CI, -0.50 to -0.32) all presented downward trends. Males had higher ASIR, ASPR and ASYR than females in each year from 1990 to 2019. The incidence, prevalence and YLDs rates were higher in males in early adulthood but exceeded in females at older age. A positive correlation was observed between ASIR and SDI (rho = 0.3732, p 0.01). Regions with higher SDI tended to have higher ASIR, ASPR and ASYR than lower SDI regions. Falls and road injuries were the major causes of pelvic fracture at all ages and during the whole period.The global health burden of pelvic fracture still remained high during the past thirty years. More policies and strategies are needed to face the challenge brought by population growth and aging.

Talking about osteoporosis, we tend to focus on post-menopause women who are at increased risk due to estrogen depletion, while less attention has been paid to the disease in men. Currently, there is a lack of understanding about the difference of osteoporosis incidence and burden by sex. In this study, we used data from the Global Burden of Disease Study 2019 (GBD 2019) to compare the difference in the prevalence and burden of low bone mineral density (LBMD) between men and women, by location, year, age and socio-demographic index. We found the prevalence of LBMD was higher in women than in men. However, the age standardized mortality rate was greatly higher in men than in women. Using disability-adjusted life year (DALY) to measure the burden, we also observed higher age standardized DALY rate in men. Using sociodemographic index (SDI) as the measure of social development level, we found that higher mortality and DALY rates were mainly seen in middle and high SDI countries. Falls were the leading cause for of deaths and disabilities in both men and women with LBMD, followed by transport injuries. Fall-related mortality was higher in women, while transport injuries caused more deaths and disabilities in men. Conclusively, more attention should be paid to osteoporosis in men, and related policies, clinical practices, and guidelines are in need to reduce the burden of LBMD and osteoporosis in men.

Background. As chondrosarcoma is the second highest primary malignant tumor of bone, it is necessary to find a way to predict the prognosis of chondrosarcoma. But the current model rarely involves the study of competing risk. This is a retrospective study with the aim of establishing a prognostic model and a nomogram based on competing risk to predict the probability of cancer-specific death (CSD) at 3 and 5 years. The Fine and Gray regression is a targeted statistical method, which makes the results more authentic and reliable.Methods. A total of 1674 chondrosarcoma patients were identified from the SEER database, and they were divided into training cohort and validation cohort by year of diagnosis. These two cohorts were used to develop and validate the prognostic model to predict the 3-year and 5-year probabilities of CSD, with non-CSD as the competing risk. Model accuracy made use of some verification functions, such as C-index, receiver operating characteristic curve (ROC), calibration plot, area under curve (AUC) and Brier score.Results. According to the outcomes of the model: older age (subdistribution hazards ratio(95%CI): 1.02 (1.01-1.03); PConclusion. This prognostic model considered the competing risks of chondrosarcoma, and the nomogram can effectively predict the probability of CSD in patients with chondrosarcoma, which is suitable for clinical application.

cytohesin-2 is a guanine nucleotide exchange factor to activate ARF1 and ARF6, which are involved in various biological processes, including signal transduction, cell differentiation, cell structure organization, and survival. Nevertheless, there is a lack of evidence revealing the role of cytohesin-2 in osteoclast differentiation and in the development of osteoporosis. In this study, we find cytohesin-2 and ARF1 positively regulate osteoclast differentiation and function. Blocking the cytohesin-2 /ARF1 axis with SecinH3 or by genetic silencing of cytohesin-2 inhibits osteoclast formation and function in vitro. In vivo treatment with SecinH3 ameliorates ovariectomy-induced osteoporosis. Mechanistically, RNA-sequencing combined with molecular biological methodologies reveal that the regulatory function of cythohesin-2/ARF1 axis in osteoclast differentiation is mainly dependent on activating the JNK pathway. Further, in addition to the common viewpoint that JNK is activated by IRE1 via its kinase activity, we found that JNK can act upstream and regulate the endoribonuclease activity of IRE1 to promote XBP1 splicing. Both SecinH3 and silencing of cytohesin-2 inhibit JNK activation and IRE1 endoribonuclease activity, leading to the suppression of osteoclast differentiation. Taken together, our findings add new insights into the regulation between JNK and IRE1, and reveal that inhibiting the cytohesin-2/ARF1/JNK/IRE1 axis might represent a potential new strategy for the treatment of post-menopause osteoporosis.

This paper proposes a novel state assessment model for all-digital protection based on its Information Importance Degrees(IID). The methodology of monitoring information classification is presented to obtain IID, and the IID is used to measure the degrees that monitoring information influences on the function of the equipment. The model of Status scoring is also proposed, taking both numbers and importance of the equipment anomaly information into account to calculate its state scores. Several solutions to the all-digital protection condition assessment problem, including the IID approach, are then illustrated, highlighting the superiority of the IID algorithm. According to the outputs of the IID approach, system operators can obtain more accurate evaluation result than other algorithms. An experimental project based on the proposed approach has been applied in several substations, higher reliability and less maintenance workloads are provided comparing with the traditional modes.