1.Implication of newborn Short-chain Acyl-CoA dehydrogenase deficiency screening and follow-up in Hainan Province for newborn screening strategies.
Peizhen ZHAO ; Zhendong ZHAO ; Haizhu XU
Chinese Journal of Medical Genetics 2026;43(4):248-252
OBJECTIVE:
To elucidate the epidemiological characteristics and genetic variant profile of Short-chain acyl-CoA dehydrogenase deficiency (SCADD) among newborns from Hainan Province and evaluate its significance within the local neonatal disease screening panel.
METHODS:
A total of 84 184 newborns born in Hainan Province from February to December 2024 were included. Tandem mass spectrometry (MS/MS) was employed to detect butyrylcarnitine (C4) and propionylcarnitine (C3) levels in dried blood spots. Screening thresholds were set at C4 > 0.43 μ mol/L and C4/C3 ratio > 0.28. Suspected cases underwent confirmatory testing via urinary ethylmalonic acid analysis by gas chromatography-mass spectrometry and whole-exome sequencing for ACADS gene variants. This study was approved by the Medial Ethics Committee of the hospital (Ethics No.: HNWCMC-2024-55).
RESULTS:
Six SCADD cases (male-to-female ratio = 1:1) were diagnosed, with all carrying compound heterozygous variants at two loci, yielding a prevalence of 7.13 per 100,000 live births. Four known ACADS gene variants were identified, with both c.322G>A and c.625G>A detected at a frequency of 41.7%. Regular follow-up (as of January 2026) revealed that all diagnosed cases have remained asymptomatic with normal growth and development.
CONCLUSION
The prevalence of SCADD among newborns in Hainan Province is relatively high, with c.322G>A and c.625G>A as the hotspot variants in the region. Given the absence of clinical phenotypes in all screen-detected cases during long-term follow-up, it is recommended to remove this condition from the routine neonatal screening program for this region to reduce unnecessary anxiety and medical cost.
Humans
;
Infant, Newborn
;
Neonatal Screening/methods*
;
Female
;
Male
;
Lipid Metabolism, Inborn Errors/epidemiology*
;
Acyl-CoA Dehydrogenase/genetics*
;
China/epidemiology*
;
Follow-Up Studies
2.The research agenda-setting for the Department of Health National Specialty Center for Eye Care.
Philippine Journal of Ophthalmology 2026;51(1):17-25
OBJECTIVE
To describe in detail the research agenda-setting process of the Department of Health National Specialty Center for Eye Care with the guidance of the National Institute of Health (NIH) - Department of Clinical Epidemiology.
METHODSA research agenda technical working group (TWG) was organized to spearhead the research agenda setting, in collaboration and guidance of the NIH. After identifying relevant internal and external stakeholders, the TWG drafted a contextual map that served as an overarching framework. Research topics were obtained from the stakeholders and the TWG collated, reviewed and summarized prior to ranking them systematically. Each topic was prioritized through a weighted ranking system evaluating its feasibility, public health benefit, and resource/cost requirements. A final en banc session including the stakeholders was held to formalize the approval of the research agenda. An infographic was developed to serve as a visual guide for consultants and trainees in initiating research.
RESULTSThe TWG tallied 85 unique research topics from both the internal and external stakeholders. These topics encompassed a broad range of areas, including epidemiology, surgical, and medical management, health systems research, economic evaluations of interventions, and occupational/environmental factors.
CONCLUSIONThe 2024-2027 research agenda of the Department of Health National Specialty Center for Eye Care was crafted, with the guidance of the NIH Department of Clinical Epidemiology. The goal was to improve the center's research output by aligning it with stakeholders thereby serving as a research benchmarking tool for the local ophthalmology community
Human ; Epidemiology ; Eye ; Health ; Research
3.Correlation between bone mass loss and incidence of knee osteoarthritis in the elderly community-based population.
Chen-Jie XIA ; Jin LI ; Xiang LI ; Ke ZHOU ; Liang FANG ; Hong-Ting JIN ; Pei-Jian TONG
China Journal of Orthopaedics and Traumatology 2025;38(4):358-363
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*
4.Analysis of clinical characteristics and influencing factors of patients with postmenopausal osteoporosis combined with dyslipidemia.
Rong XIE ; Li-Guo ZHU ; Zi-Kai JIN ; Tian-Xiao FENG ; Ke ZHAO ; Da WANG ; Ling-Hui LI ; Xu WEI
China Journal of Orthopaedics and Traumatology 2025;38(5):487-493
OBJECTIVE:
To explore the co-morbid influencing factors of postmenopausal osteoporosis(PMOP) and dyslipidemia, and to provide evidence-based basis for clinical co-morbidity management.
METHODS:
Based on the 2017 to 2018 Beijing community cross-sectional survey data, PMOP patients were included and divided into the dyslipidemia group and the uncomplicated dyslipidemia group according to whether they were comorbid with dyslipidemia. Demographic characteristics, living habits and disease history were collected through questionnaires, and bone mineral density and bone metabolism biomarkers (osteocalcin, blood calcium, serum typeⅠprocollagen N-terminal prepeptide, etc.) were detected on site. Co-morbidity risk factors were analyzed using binary logistic regression.
RESULTS:
Three hundred and twenty patients with PMOP were included, including the comorbid group (75 patients) and the uncomplicated group (245 patients). The results showed that history of cardiovascular disease [OR=1.801, 95%CI(1.003, 3.236), P=0.049], history of cerebrovascular disease [OR=2.923, 95%CI(1.460, 5.854), P=0.002], frying and cooking methods[OR=5.388, 95%CI(1.632, 17.793), P=0.006], OST results[OR=0.910, 95%CI(0.843, 0.983), P=0.016], and blood Ca results [OR=60.249, 95%CI(1.862, 1 949.926), P=0.021] were the influencing factors of PMOP complicated with dyslipidemia.
CONCLUSION
Focus should be placed on the influencing factors of PMOP and dyslipidemia co-morbidities, with emphasis on multidimensional assessment, combining lifestyle interventions with bone metabolism marker monitoring to optimize co-morbidity management.
Humans
;
Dyslipidemias/epidemiology*
;
Female
;
Middle Aged
;
Osteoporosis, Postmenopausal/metabolism*
;
Aged
;
Cross-Sectional Studies
;
Risk Factors
;
Bone Density
5.Analysis of factors affecting the incidence of osteoarthritis following arthroscopic surgery for degenerative posterior horn of medial meniscus injuries.
Bin WANG ; Qiang-Bing DOU ; Xing-Xing LI ; Liang-Ye SUN
China Journal of Orthopaedics and Traumatology 2025;38(7):722-728
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*
6.Analysis and approach to renal trauma: A five-year experience at a level I trauma centre in north India.
Piyush GUPTA ; Parvez Mohi Ud Din DAR ; Sahil GUPTA ; Siddhart JAIN ; Subodh KUMAR ; Amit GUPTA ; Sushma SAGAR
Chinese Journal of Traumatology 2025;28(2):138-144
PURPOSE:
Renal trauma constitutes 0.5% - 5% of all trauma patients, and 10% - 20% of abdominal trauma. It is the most commonly injured organ in the genitourinary tract. Road traffic crash (RTC) is the most common cause. In recent years due to the advances in radiological imaging and endovascular techniques, there has been an increase in the nonoperative management of renal trauma. We investigated a large trauma cohort at a level I trauma centre to evaluate patients' demographics with renal trauma, their management, and the outcomes.
METHODS:
This was a retrospective analysis of the prospectively collected data of renal trauma patients managed from January 2016 to December 2020. Patients who visited the level I trauma centre in north India with renal trauma were included in this study. Patients who were dead on arrival in the emergency department were excluded. Demographics, mechanism of injury, presence of hemorrhagic shock, associated injuries, complications, length of hospital stay (LOS), discharge, and mortality were recorded. The data were entered in Microsoft Excel 365 and analysed using SPSS version 21.
RESULTS:
This study collected data from 303 renal trauma patients. Males constituted 86.5% of the patients. Most patients were young, aged from 20 - 40 years. Blunt renal trauma was the predominant mode of injury (n = 270, 89.1%). RTCs (n = 190, 62.7%) and falls from height (n = 65, 21.4%) were the 2 most common mechanisms of injury. Focused assessment with sonography in trauma was positive in 68.4% of patients. Grade III (grading by the American Association for the Surgery of Trauma) renal trauma (30.4%) was the most common grade in our study. The liver (n = 104, 34.3%) and splenic trauma (n = 96, 31.7%) were the most commonly associated injuries. Of the 303 patients, 260 (85.8%) were managed nonoperatively. The mean (SD) of the patients' LOS was 12.5 (6.5) days. There were 25 (8.3%) mortalities during the study period and all of them had associated other injuries. The comparison of LOS of isolated renal trauma group and renal trauma with associated injuries group was not statistically significant (p = 0.322). All the patients who died during the study period had renal trauma with associated other organ injuries. None of the patients with isolated renal trauma died during the study. The outcome comparison between both groups was not statistically significant (p = 0.110).
CONCLUSION
Renal trauma predominantly occurs in young males, especially due to RTCs followed by fall from height. Focused assessment with sonography in trauma is not reliable in detecting renal injuries, other diagnostic tools such as contrast enhanced computed tomography torso should be considered in diagnosing and grading these injuries. Renal trauma usually does not occur in isolation. Majority are associated with other abdominal and extra abdominal injuries. Most of the times these injuries can be managed nonoperatively, which can achieve a low mortality. The patients who required surgery had high mortality as compared to patients who managed nonoperatively. These patients who required surgery had either severe renal or extra renal trauma and were in hemorrhagic shock. Renal trauma from this large cohort may contribute to improving the quality of care for patients with renal trauma by obtaining knowledge about the patient's characteristics, management, and outcomes.
Humans
;
Male
;
Female
;
Adult
;
India/epidemiology*
;
Retrospective Studies
;
Kidney/injuries*
;
Trauma Centers
;
Middle Aged
;
Young Adult
;
Length of Stay
;
Adolescent
;
Aged
7.Road traffic mortality in Zunyi city, China: A 10 - year data analysis (2013-2022).
Tian-Jing SUN ; Xiao-Fei HUANG ; Fang-Ke XIE ; Ji ZHANG ; Xu-Heng JIANG ; An-Yong YU
Chinese Journal of Traumatology 2025;28(2):145-150
PURPOSE:
The study aimed to examine the pattern of motorization and the mortality rate related to road traffic crashes in Zunyi (a city in northern Guizhou province of China) from 2013 to 2022, and to identify the epidemiological characteristics of these crashes with to provide insights that could help improve road safety.
METHODS:
Data were obtained from the Zunyi traffic management data platform, and the mortality rates were calculated. We deployed various analytical methods, including descriptive analysis, Chi-square test or Fisher's exact test for categorical variables, circular distribution map analysis, and Rayleigh test to characterize the traits of road traffic crashes in the region.
RESULTS:
During the 10-year study period, 7488 people died due to road traffic accidents, with males accounting for 70.4% and females 29.6% (χ2 = 101.97, p < 0.001). The mortality rate increased from 7.80 deaths per 100,000 people in 2013 to 10.70 deaths per 100,000 people in 2016, but then decreased to 9.54 deaths per 100,000 people in 2019. A notable finding was that the death rate per 10,000 vehicles declined from 16.09 deaths per 10,000 vehicles in 2013 to 5.48 deaths per 10,000 vehicles in 2022. The study also found that vulnerable road users represented nearly half (48.76%) of all accident fatalities, and unlicensed or inexperienced driving contributed significantly to the occurrence of road traffic accidents.
CONCLUSION
Although the number of road traffic accidents in Zunyi has decreased, there are still some critical issues that need to be addressed, particularly for vulnerable road users and unlicensed drivers. Our results highlight the need for targeted interventions to address the specific risk factors of road traffic crashes, particularly those affecting vulnerable road users and drivers without sufficient experience or license.
Humans
;
Accidents, Traffic/statistics & numerical data*
;
China/epidemiology*
;
Male
;
Female
;
Adult
;
Middle Aged
;
Aged
;
Adolescent
;
Young Adult
;
Child
8.A systematic analysis on global epidemiology and burden of foot fracture over three decades.
Cheng CHEN ; Jin-Rong LIN ; Yi ZHANG ; Tian-Bao YE ; Yun-Feng YANG
Chinese Journal of Traumatology 2025;28(3):208-215
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
9.Frequency of concomitant injuries in maxillofacial trauma in a tertiary health care centre in India: A 5-year retrospective study.
Saubhik DASUKIL ; Shiwangi VERMA ; Ashok Kumar JENA ; Mounabati MOHAPATRA
Chinese Journal of Traumatology 2025;28(3):216-219
PURPOSE:
Road traffic accidents (RTA), assaults, falls, and sports-related injuries are the leading causes of maxillofacial trauma. Due to quite different geographical environment and fast urbanization, the use of various protective equipment is restricted in India. Thus, compared to other countries, there might be a significant difference in the pattern and frequency of associated injuries among subjects with maxillofacial trauma. The present study was conducted to identify the causes and pattern of various maxillofacial fractures and the frequency of other related injuries among subjects with maxillofacial trauma.
METHODS:
This is a cross-sectional retrospective study recording 2617 subjects with maxillofacial trauma from October 2017 to October 2022. The patient demographics, causes of trauma, types of maxillofacial injury, and associated soft and hard tissue injuries were recorded. The types of maxillofacial and associated injuries were diagnosed from details of clinical examinations and the interpretation of various radiographs available in the file. The associated injuries were divided into head injury, other bony injuries, and soft tissue and vital structure injuries. Descriptive statistics and the test of proportion were used. A p value < 0.05 was considered as a level of significance.
RESULTS:
The maxillofacial injuries were significantly common in patients aged 16 - 45 years (66.7%) than in patients aged ≤ 15 and > 46 years (33.3%) (p < 0.001). The RTA was the most common cause of maxillofacial injury (n = 2139, 81.7%), followed by fall (n = 206, 7.9%), other causes of injury (n = 178, 6.8%), and assaults (n = 94, 3.6%). The maxillofacial injury by 2-wheel vehicle accidents was significantly higher than that by 4-wheel vehicle and other vehicle accidents (p < 0.001). There was a significant correlation between alcohol and RTA (p < 0.001). The head injury (n = 931, 61.1%) was the most common associated injury, followed by soft tissue and vital structures injuries (n = 328, 21.5%) and other bone injuries (n = 264, 17.3%).
DISCUSSION
Head injury was the most common associated injury followed by soft tissue and vital structures and bone injuries among subjects with maxillofacial trauma. Clavicle fracture and injury to the lower extremities were the most common hard and soft tissue-associated injuries.
Humans
;
Maxillofacial Injuries/etiology*
;
Retrospective Studies
;
Adult
;
India/epidemiology*
;
Male
;
Female
;
Cross-Sectional Studies
;
Middle Aged
;
Adolescent
;
Young Adult
;
Tertiary Care Centers
;
Accidents, Traffic/statistics & numerical data*
;
Child
;
Aged
;
Multiple Trauma/epidemiology*
;
Child, Preschool
10.Analysis of risk factors, pathogenic bacteria characteristics, and drug resistance of postoperative surgical site infection in adults with limb fractures.
Yan-Jun WANG ; Zi-Hou ZHAO ; Shuai-Kun LU ; Guo-Liang WANG ; Shan-Jin MA ; Lin-Hu WANG ; Hao GAO ; Jun REN ; Zhong-Wei AN ; Cong-Xiao FU ; Yong ZHANG ; Wen LUO ; Yun-Fei ZHANG
Chinese Journal of Traumatology 2025;28(4):241-251
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*


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