OBJECTIVE: To analyze the current status and temporal trends of the disease burden of spinal fractures in China from 1990 to 2021 based on data from the Global Burden of Disease Study 2021 (GBD 2021), aiming to provide evidence for developing prevention and treatment strategies. METHODS: Epidemiological data on spinal fractures in China, the United States of America (USA), and globally were extracted from the GBD 2021 database. Joinpoint regression models were applied to analyze temporal trends. Age-standardized incidence, prevalence, and disability-adjusted life years (DALYs) rates were calculated, with comparisons of gender- and age-group disparities. RESULTS: In 2021, the number of incident cases, prevalent cases, and DALYs of spinal fractures in China increased by 52.28%, 113.68%, and 106.98%, respectively, compared to 1990. The age-standardized incidence, prevalence, and DALYs rates rose by 11.80%, 16.11%, and 14.79%, respectively. The disease burden escalated significantly with age, peaking in individuals aged ≥75 years. Males exhibited higher age-standardized incidence and DALYs rates than females. Comparative analysis revealed that the age-standardized DALYs rate in China (4.19/100 000) was lower than that in globally (6.62/100 000) and USA (15.92/100 000). However, China showed an upward trend [annual average percentage change (AAPC)=0.19%], contrasting with a declining trend in the USA (AAPC=-0.08%). CONCLUSION The escalating disease burden of spinal fractures in China is closely linked to population aging, gender disparities, and insufficient targeted prevention policies. Future strategies should integrate age- and gender-specific interventions, including strengthened osteoporosis prevention, trauma risk control, and big data-driven precision measures, to mitigate this burden.
Humans ; China/epidemiology* ; Global Burden of Disease/trends* ; Male ; Female ; Spinal Fractures/epidemiology* ; Middle Aged ; Aged ; Disability-Adjusted Life Years ; Prevalence ; Incidence ; Adult ; Young Adult ; Adolescent ; Aged, 80 and over ; United States/epidemiology* ; Cost of Illness ; Quality-Adjusted Life Years ; Child

OBJECTIVE:  To estimate the population attributable disease burden (PAD) of low bone mineral density (LBMD) related fractures (fragility fractures) among Chinese people over 50 years old from 1990 to 2023, using data from the Global Burden of Disease Study 2023 (GBD 2023), and to provide evidence for prevention strategies and health resource allocation. METHODS:   Based on the GBD 2023, the LBMD summary exposure values (SEV), fracture incidence, years lived with disability (YLDs), and LBMD-related falls YLDs of Chinese people over 50 years old from 1990 to 2023 were extracted. PAD was calculated with population attributable fraction (PAF), and an entropy-weight method was applied to evaluate the contribution of individual fracture sites. Temporal trends and sex differences were examined with Joinpoint regression. RESULTS:  From 1990 to 2023, the age-standardized SEV of LBMD in people over 50 years old showed an overall decline [average annual percent change (AAPC)=-0.564%]. Age-standardized fracture incidence, fracture YLDs rate, and LBMD-related falls YLDs rate all exhibited W-shaped upward trends (AAPC=1.045%, 0.296%, and 0.724%, respectively). PAF-based estimates indicated that LBMD-attributable fracture incidence likewise increased in a "W-shaped" manner (AAPC=0.558%), whereas the corresponding YLDs rate showed an overall W-shaped decline (AAPC=-0.193%). In international comparison, China and the global average displayed broadly concordant directions of change, with greater volatility in China and a progressive narrowing of the gap after 2015. Regarding sex differences, fracture YLDs rates were consistently higher in the males, whereas the other burden indicators were higher in the females; the temporal patterns were similar in both sexes. Entropy weight method identified hip fractures as contributing most to incidence (weight 0.133), and pelvic fractures as the largest contributor to YLDs rate (weight 0.115). CONCLUSION Since 1990, the LBMD attributable fracture burden in China's older population has risen, with female and hip or pelvic fractures bearing the heaviest load. Strengthened osteoporosis screening, improved insurance coverage, and targeted health education are urgently needed to curb further increases in disease burden.
Humans ; China/epidemiology* ; Middle Aged ; Female ; Male ; Bone Density ; Aged ; Incidence ; Osteoporotic Fractures/epidemiology* ; Aged, 80 and over ; Accidental Falls/statistics & numerical data* ; Cost of Illness ; Global Burden of Disease ; Osteoporosis/complications* ; Disability-Adjusted Life Years ; Fractures, Bone/epidemiology*

OBJECTIVE: To analyze the disease burden of pelvic fractures at the global, regional, and national levels from 1990 to 2023 using data from the 2023 Global Burden of Disease Study (GBD), and to predict the disease burden through 2050. METHODS: Leveraging data from the GBD 2023, this study investigated the disease burden of pelvic fractures across 204 countries and regions. Assessment indicators included incidence rate, prevalence rate, and years lived with disability (YLDs). The Joinpoint regression model was employed to analyze trends in pelvic fracture burden from 1990 to 2023, while the average annual percentage change (AAPC) was used to quantify this temporal trend. The relationship between the socio-demographic index and pelvic fracture burden was evaluated. Furthermore, the long short-term memory (LSTM) model was applied to predict trends in pelvic fracture burden through 2050. RESULTS: In 2023, the estimated number of new pelvic fracture cases globally was 7 479 884 [95% uncertainty interval ( UI): 5 293 401-10 611 876], representing a 42.74% increase from 1990. In the same year, the number of prevalent pelvic fracture cases and YLDs were 23 007 508 (95% UI: 21 021 518-25 327 165) and 3 909 228 person-years (95% UI: 2 725 498-5 194 385), respectively. Additionally, age-standardized rates exhibited an opposing downward trend. Significant disparities in the disease burden of pelvic fractures were identified across different age groups, genders, and social contexts. According to predictions from the LSTM model, the global age-standardized incidence rate (ASIR) of pelvic fractures will be approximately 88.44 per 100 000 persons by 2050, while the total number of incident cases will rise to 8 547 095. CONCLUSION Although the overall incidence rate, prevalence rate, and YLDs of pelvic fractures have exhibited an upward trend over the past three decades, the ASIR, age-standardized prevalence rate (ASPR), and age-standardized years of life lost rate (ASYR) have shown a downward trend. It is predicted that over the upcoming 26-year period, the age-standardized rate of disease burden due to pelvic fractures will further decrease, while the number of incident cases and prevalent cases will continue to exhibit an upward trend. Formulating more targeted disease prevention strategies is critical to addressing disparities across genders, regions, and other dimensions, and to mitigating the burden of pelvic fractures.
Humans ; Fractures, Bone/epidemiology* ; Pelvic Bones/injuries* ; Male ; Female ; Middle Aged ; Adult ; Incidence ; Prevalence ; Aged ; Global Burden of Disease/trends* ; Global Health ; Adolescent ; Cost of Illness ; Young Adult ; Forecasting ; Disability-Adjusted Life Years ; Memory, Short-Term

OBJECTIVE: To analyze the current status and trends of the disease burden of knee osteoarthritis (KOA) in China from 1990 to 2023, and to examine the epidemiological characteristics of age, gender differences, and attribution to high body mass index (BMI), in order to provide a basis for formulating prevention and treatment strategies to reduce the disease burden of KOA in China. METHODS: Based on the 2023 Global Burden of Disease Study (GBD) database, data on the number, rate, and age-standardized rate of incidence, prevalence, disability-adjusted life years (DALYs) for KOA, and DALYs for KOA attributable to high BMI in the Chinese population from 1990 to 2023 were integrated. The Joinpoint 5.4.0.0 software was used to analyze the age and gender differences in KOA and the epidemiological characteristics attributable to high BMI. RESULTS: The standardized incidence, prevalence, and DALYs rates of KOA in China in 2023 increased by 6.46%, 6.43%, and 6.93%, respectively, compared with 1990. In terms of age, the disease burden of KOA in China was lowest in the age group of 30-34 years, with the highest incidence rate in the age group of 50-54 years, whereas the prevalence rate and DALYs rate continued to increase with age, and both were highest in the age group of ≥70 years. In terms of gender, all disease burden standardized rate indicators were higher in females than in males, and the difference widened with age. The rate of BMI-attributable DALYs increased at an annual average rate of 1.57% (95% CI: 1.55, 1.59) from 1990 to 2023, again with significant age and gender differences. CONCLUSION The continued growth of the KOA disease burden and significant population differences characterizing China call for focused attention on the female middle-aged and elderly population, enhanced weight management, and implementation of targeted preventive and control measures.
Humans ; Osteoarthritis, Knee/epidemiology* ; China/epidemiology* ; Male ; Female ; Middle Aged ; Incidence ; Aged ; Adult ; Prevalence ; Body Mass Index ; Disability-Adjusted Life Years ; Cost of Illness ; Aged, 80 and over ; Sex Factors ; Global Burden of Disease ; Age Factors ; Young Adult ; Quality-Adjusted Life Years

OBJECTIVE: To explore the current status and changing trends of the disease burden of traumatic brain injury (TBI) in China from 1990 to 2023, and to quantitatively assess the impact of different influencing factors on this disease burden, thereby providing references for the prevention of TBI. METHODS: Based on the 2023 Global Burden of Disease Study (GBD), indicators including incidence and years lived with disability (YLDs) were used to analyze the status and changing trends of TBI disease burden in China from 1990 to 2023. Additionally, the decomposition method established by Gupta was adopted to quantify the effects of population growth, population aging, age-specific incidence rate, and disease severity on YLDs. RESULTS: From 1990 to 2023, the age-standardized incidence rate and YLDs rate of TBI in China showed an overall upward trend, with a significant downward trend between 2015 and 2020, followed by a resumption of upward trend after 2020. The disease burden of TBI in males was higher than that in females, with a larger increase amplitude. The elderly population had higher TBI incidence rate and YLDs rate, also with a larger upward amplitude. Falls were the main cause of TBI in China, and the changing trend of the disease burden caused by falls was consistent with the overall trend of TBI disease burden; meanwhile, the elderly population bore a relatively high disease burden from falls. Taking 1990 as the baseline, the growth rates of YLDs in males and females in 2023 were 101.54% and 101.40%, respectively. For males, the proportions of YLDs growth attributed to population growth, population aging, age-specific incidence rate, and disease severity were 26.91%, 49.62%, 37.74%, and -12.73%, respectively; for females, the corresponding proportions were 28.85%, 57.69%, 27.65%, and -12.79%. CONCLUSION From 1990 to 2023, population aging had a significant impact on the disease burden of TBI in China. Strengthening the prevention and control of falls and paying close attention to males and the elderly population should be the key focuses of TBI prevention and control work in China in the future.
Humans ; Brain Injuries, Traumatic/epidemiology* ; China/epidemiology* ; Male ; Female ; Incidence ; Middle Aged ; Aged ; Adult ; Cost of Illness ; Adolescent ; Young Adult ; Persons with Disabilities/statistics & numerical data* ; Child ; Global Burden of Disease ; Disability-Adjusted Life Years ; Child, Preschool ; Infant ; Aged, 80 and over

OBJECTIVE: To explore the epidemiological characteristics of knee osteoarthritis (KOA) among the elderly in the community, and its correlation with bone mass loss. METHODS: A cross-sectional study was conducted on elderly community population over 50 year old from 12 community health service centers in Zhejiang province. Their gender, age, body mass index (BMI), T value and KOA diagnosis were collected using face to face questionnaire survey. Univariate regression was used to analyze the influence of age, gender, BMI and bone loss on KOA. Logistic multivariate regression model was used to analyze the independent effect of bone mass loss on KOA. RESULTS: Among 4 173 subjects in this study, 1 710 of them were had a KOA. The prevalence rate was 40.9%. The mean age, the proportion of females and the mean BMI in KOA patients were (65.5±3.8) years old, 67.7%(1 158/1 710) and(24.59±1.28) kg·m^-2, respectively, which were significantly higher than (58.5±3.2) years old, 51.3%(1 263/2 463), and (23.48±1.25) kg·m^-2 in non-KOA subjects (P<0.001). In the population aged from 60 to 69 years old, the influence of osteopenia and osteoporosis on the prevalence of KOA was[OR=1.21, 95%CI(1.00, 1.46), P=0.053 2], [OR=1.42, 95%CI(1.14, 1.78), P=0.002 2]. The influence of male and female osteoporosis on the prevalence of KOA was [OR=1.52, 95%CI(1.16, 1.99), P=0.002 7] and [OR=1.87, 95%CI(1.51, 2.32), P<0.000 1], respectively. In the population of 24 kg·m^-2≤BMI<28 kg·m^-2, the influence of osteopenia and osteoporosis on the prevalence of KOA was [OR=1.47, 95%CI(1.21, 1.80), P=0.000 1], [OR=2.69, 95%CI(2.11, 3.42), P<0.000 1], respectively. After controlling the confounding factors of age, gender and BMI, compared with people with normal bone mass, the effect of osteopenia on the prevalence of KOA was [OR=1.34, 95%CI(1.08, 1.67), P=0.009 2], and the effect of osteoporosis on the prevalence of KOA was [OR=1.38, 95%CI(1.06, 1.79), P=0.017 9]. CONCLUSION Elderly overweight women are more likely to develop KOA. Bone mass loss is an independent risk factor for KOA, which will significantly increase the prevalence of KOA in people overweight or aged 60 to 69 years old.
Humans ; Female ; Male ; Aged ; Osteoarthritis, Knee/etiology* ; Middle Aged ; Cross-Sectional Studies ; Bone Density ; Aged, 80 and over ; Incidence ; Body Mass Index ; China/epidemiology* ; Osteoporosis/epidemiology*

OBJECTIVE: To investigate the risk factors associated with the development of knee osteoarthritis (OA) following arthroscopic surgery for degenerative lesions of the posterior horn of the medial meniscus. METHODS: Between January 2012 and January 2014, a retrospective analysis was conducted on 506 patients who underwent arthroscopic surgery for degenerative disease of the posterior horn of the medial meniscus. The cohort included 230 males and 276 females, aged from 32 to 58 years old with an average of (46.77±9.02) years old. According to the results of postoperative follow-up, patients were categorized into a knee osteoarthritis(OA) group and a non-OA group. The following parameters were recorded for each subject:gender, medial proximal tibial angle (MPTA), hip-knee-ankle angle (HKA), presence of bone edema on MRI, physical characteristics (including McMurray test results, locking symptoms, and medial knee tenderness points), meniscus protrusion, type of meniscus injury, and free body condition as observed via arthroscopy. Multivariate unconditional Logistic regression analysis was employed to investigate the associated factors influencing the 10-year postoperative incidence of knee osteoarthritis following surgery for degenerative injury of the posterior horn of the medial meniscus. Independent risk factors potentially influencing the development of postoperative OA were identified, and a nomogram-based predictive model for postoperative OA was established. The discriminatory ability and calibration accuracy of the model were assessed using the C-index and Hosmer-Lemeshow goodness-of-fit test, respectively. Furthermore, internal validation was performed using the bootstrap resampling method. RESULTS: Within a 10-year period following arthroscopic surgery, there were 123 patients in the OA group and 383 patients in the non-OA group. Significant differences were observed between two groups with respect to gender (χ²=5.156, P=0.023), MPTA<86.6° (χ²=21.671, P<0.001), varus lower limb alignment( χ²= 80.086, P<0.001). Additionally, meniscus extrusion (χ²=6.371, P=0.012), meniscus transverse tear (χ²=14.573, P<0.001), and bone edema detected on MRI(χ²=9.881, P=0.002) were identified as factors associated with the development of postoperative knee OA. The multifactorial Logistic regression analysis revealed that the lower limb line of force inversion OR=4.324, 95%CI (1.391, 13.443), P=0.011;MPTA <86.6°, OR=2.519, 95%CI (1.150, 5.519), P=0.021;transverse meniscus tear, OR=4.546, 95%CI (1.827, 11.310), P=0.001;meniscus ectropion, OR=5.401, 95%CI (1.992, 14.646), P=0.001;and bone edema manifestation on MRI OR=2.692, 95%CI (1.169, 6.200), P=0.020. They were independent risk factors associated with the development of postoperative OA. The area under the ROC curve predicted by the model was 0.927, 95%CI (0.903, 0.950). The Hosmer-Lemeshow goodness-of-fit test, used to evaluate the accuracy of the model, yielded P=0.689. Additionally, the internally sampled calibration curve demonstrated good consistency with the actual postoperative OA outcomes. CONCLUSION Varus alignment of the lower extremity, MPTA <86.6°, transverse meniscus tear, lateral meniscus injury, and bone marrow edema observed on MRI were independent risk factors for the development of knee osteoarthritis following arthroscopic surgery. Additionally, the prognostic model demonstrated excellent predictive performance.
Humans ; Male ; Female ; Middle Aged ; Arthroscopy/adverse effects* ; Adult ; Retrospective Studies ; Tibial Meniscus Injuries/surgery* ; Osteoarthritis, Knee/epidemiology* ; Risk Factors ; Menisci, Tibial/surgery* ; Incidence ; Postoperative Complications/epidemiology*

PURPOSE: To comprehensively analyze the geographic and temporal trends of foot fracture, understand its health burden by age, sex, and sociodemographic index (SDI), and explore its leading causes from 1990 to 2019. METHODS: The datasets in the present study were generated from the Global Burden of Diseases Study 2019, which included foot fracture data from 1990 to 2019. We extracted estimates along with the 95% uncertainty interval (UI) for the incidence and years lived with disability (YLDs) of foot fracture by location, age, gender, and cause. The epidemiology and burden of foot fracture at the global, regional, and national level was exhibited. Next, we presented the age and sex patterns of foot fracture. The leading cause of foot fracture was another focus of this study from the viewpoint of age, sex, and location. Then, Pearson's correlations between age-standardized rate (ASR), SDI, and estimated annual percentage change were calculated. RESULTS: The age-standardized incidence rate was 138.68 (95% UI: 104.88 - 182.53) per 100,000 persons for both sexes, 174.24 (95% UI: 134.35 - 222.49) per 100,000 persons for males, and 102.19 (95% UI: 73.28 - 138.00) per 100,000 persons for females in 2019. The age-standardized YLDs rate was 5.91 (95% UI: 3.58 - 9.25) per 100,000 persons for both genders, 7.35 (95% UI: 4.45 - 11.50) per 100,000 persons for males, and 4.51 (95% UI: 2.75 - 7.03) per 100,000 persons for females in 2019. The global incidence and YLDs of foot fracture increased in number and decreased in ASR from 1990 to 2019. The global geographical distribution of foot fracture is uneven. The incidence rate for males peaked at the age group of 20 - 24 years, while that for females increased with advancing age. The incidence rate of older people was rising, as younger age incidence rate declined from 1990 to 2019. Falls, exposure to mechanical forces, and road traffic injuries were the 3 leading causes of foot fracture. Correlations were observed between ASR, estimated annual percentage change, and SDI. CONCLUSIONS The burden of foot fracture remains high globally, and it poses an enormous public health challenge, with population aging. It is necessary to allocate more resources to the high-risk populations. Targeted realistic intervention policies and strategies are warranted.
Humans ; Male ; Female ; Incidence ; Fractures, Bone/epidemiology* ; Middle Aged ; Adult ; Global Health ; Aged ; Global Burden of Disease ; Adolescent ; Child ; Young Adult ; Foot Injuries/epidemiology* ; Cost of Illness ; Child, Preschool ; Aged, 80 and over ; Infant

PURPOSE: We carried out the study aiming to explore and analyze the risk factors, the distribution of pathogenic bacteria, and their antibiotic-resistance characteristics influencing the occurrence of surgical site infection (SSI), to provide valuable assistance for reducing the incidence of SSI after traumatic fracture surgery. METHODS: A retrospective case-control study enrolling 3978 participants from January 2015 to December 2019 receiving surgical treatment for traumatic fractures was conducted at Tangdu Hospital of Air Force Medical University. Baseline data, demographic characteristics, lifestyles, variables related to surgical treatment, and pathogen culture were harvested and analyzed. Univariate analyses and multivariate logistic regression analyses were used to reveal the independent risk factors of SSI. A bacterial distribution histogram and drug-sensitive heat map were drawn to describe the pathogenic characteristics. RESULTS: Included 3978 patients 138 of them developed SSI with an incidence rate of 3.47% postoperatively. By logistic regression analysis, we found that variables such as gender (males) (odds ratio (OR) = 2.012, 95% confidence interval (CI): 1.235 - 3.278, p = 0.005), diabetes mellitus (OR = 5.848, 95% CI: 3.513 - 9.736, p < 0.001), hypoproteinemia (OR = 3.400, 95% CI: 1.280 - 9.031, p = 0.014), underlying disease (OR = 5.398, 95% CI: 2.343 - 12.438, p < 0.001), hormonotherapy (OR = 11.718, 95% CI: 6.269 - 21.903, p < 0.001), open fracture (OR = 29.377, 95% CI: 9.944 - 86.784, p < 0.001), and intraoperative transfusion (OR = 2.664, 95% CI: 1.572 - 4.515, p < 0.001) were independent risk factors for SSI, while, aged over 59 years (OR = 0.132, 95% CI: 0.059 - 0.296, p < 0.001), prophylactic antibiotics use (OR = 0.082, 95% CI: 0.042 - 0.164, p < 0.001) and vacuum sealing drainage use (OR = 0.036, 95% CI: 0.010 - 0.129, p < 0.001) were protective factors. Pathogens results showed that 301 strains of 38 species of bacteria were harvested, among which 178 (59.1%) strains were Gram-positive bacteria, and 123 (40.9%) strains were Gram-negative bacteria. Staphylococcus aureus (108, 60.7%) and Enterobacter cloacae (38, 30.9%) accounted for the largest proportion. The susceptibility of Gram-positive bacteria to Vancomycin and Linezolid was almost 100%. The susceptibility of Gram-negative bacteria to Imipenem, Amikacin, and Meropenem exceeded 73%. CONCLUSION Orthopedic surgeons need to develop appropriate surgical plans based on the risk factors and protective factors associated with postoperative SSI to reduce its occurrence. Meanwhile, it is recommended to strengthen blood glucose control in the early stage of admission and for surgeons to be cautious and scientific when choosing antibiotic therapy in clinical practice.
Humans ; Surgical Wound Infection/epidemiology* ; Male ; Female ; Risk Factors ; Retrospective Studies ; Middle Aged ; Adult ; Case-Control Studies ; Fractures, Bone/surgery* ; Aged ; Drug Resistance, Bacterial ; Logistic Models ; Anti-Bacterial Agents/therapeutic use* ; Incidence ; Bacteria/drug effects*

PURPOSE: The purpose of this study is to surveil the injuries in wrestling according to the different age categories and wrestling styles throughout the competition season. METHODS: The study was designed as a descriptive study. The study was conducted during the wrestling competition season in 2023 (from January 2023 to July 2023), which includes 5 different age categories: U-15, U-17, U-20, U-23, and seniors, along with the Turkey National Wrestling Championships. The data of injuries was recorded immediately after the acute injury was treated by the medical expert during the competitions and evaluated according to the parameters that were obtained. In the statistical analysis, the frequency and percentage values were presented as descriptive statistics and the Chi-square test was used. RESULTS: The study incorporated a total of 6214 wrestlers and a total of 7151 wrestling bouts were performed during these competitions. The analyses indicated that the rate of injury incidence was 42.65‰ in all wrestling styles. When taking account of the injured body parts in all wrestlers' exposures, the occurrence of injuries to the head-face, neck, trunk, upper extremity, and lower extremity, rates of 17.6‰, 1.3‰, 3.6‰, 13.5‰, and 6.6‰, respectively, were observed. According to the pre-diagnosis based on freestyle, Greco-Roman, and female wrestling styles, injuries with bleeding (39.6%, 46.3%, and 14.6%, respectively) and muscle strain (37.9%, 28.7 %, and 52.6%, respectively) most often occurred. CONCLUSION The study findings indicate that most cases of injury appeared to occur in bleeding and muscle strain in all wrestling styles. We suggest that medical experts should set up their health equipment with consideration to the injuries that occur most frequently.
Humans ; Male ; Wrestling/injuries* ; Young Adult ; Adolescent ; Female ; Athletic Injuries/epidemiology* ; Turkey/epidemiology* ; Adult ; Age Factors ; Incidence ; Child