1.Construction of A Conceptual Framework for the Integration of Traditional Chinese and Western Medicine in Evolutionary Syndrome Differentiation and Treatment Across Full-cycle of Parkinson's Disease
Yu WANG ; Jianing MEI ; Hongping ZHAO ; Yunzhe TANG ; Zijun WEI ; Qinliang TAO ; Xueyi HAN ; Jiyuan HU ; Yunyun ZHANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(10):270-279
Parkinson's disease (PD) is a complex neurodegenerative disease involving multiple systems and neurotransmitters. Due to the high clinical heterogeneity of PD,it is urgent to establish a comprehensive and long-term traditional Chinese medicine (TCM) management model. In this paper,the conceptual framework of full-cycle management of PD is preliminarily constructed:based on the evolution of the pathophysiological mechanisms of protein deposition and neurotransmitter disorder in PD,the three-stage syndrome characteristics of the prodromal stage (predominant healthy Qi with subtle pathogenic factors),the early clinical stage (declining healthy Qi with growing pathogenic factors) and the middle and late stages (overwhelming pathogenic factors with deficient healthy Qi) are longitudinally described. Through the syndrome differentiation of visceral manifestations,the etiology and pathogenesis of PD motor and non-motor symptoms were comprehensively analyzed,while the matching treatment methods and prescriptions were inferred,and the modular scheme of the combining main symptoms,accompanying symptoms and secondary symptoms was proposed. The conceptual gap of TCM regarding motor complications ('variable syndrome') and PD-related hyperpyrexia syndrome ('critical syndrome') was explained. This framework reflects the characteristics of combination of disease and syndrome and overall constant motion,and provides new theories and research ideas for individualized and whole-process management of PD in TCM.
2.Construction of A Conceptual Framework for the Integration of Traditional Chinese and Western Medicine in Evolutionary Syndrome Differentiation and Treatment Across Full-cycle of Parkinson's Disease
Yu WANG ; Jianing MEI ; Hongping ZHAO ; Yunzhe TANG ; Zijun WEI ; Qinliang TAO ; Xueyi HAN ; Jiyuan HU ; Yunyun ZHANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(10):270-279
Parkinson's disease (PD) is a complex neurodegenerative disease involving multiple systems and neurotransmitters. Due to the high clinical heterogeneity of PD,it is urgent to establish a comprehensive and long-term traditional Chinese medicine (TCM) management model. In this paper,the conceptual framework of full-cycle management of PD is preliminarily constructed:based on the evolution of the pathophysiological mechanisms of protein deposition and neurotransmitter disorder in PD,the three-stage syndrome characteristics of the prodromal stage (predominant healthy Qi with subtle pathogenic factors),the early clinical stage (declining healthy Qi with growing pathogenic factors) and the middle and late stages (overwhelming pathogenic factors with deficient healthy Qi) are longitudinally described. Through the syndrome differentiation of visceral manifestations,the etiology and pathogenesis of PD motor and non-motor symptoms were comprehensively analyzed,while the matching treatment methods and prescriptions were inferred,and the modular scheme of the combining main symptoms,accompanying symptoms and secondary symptoms was proposed. The conceptual gap of TCM regarding motor complications ('variable syndrome') and PD-related hyperpyrexia syndrome ('critical syndrome') was explained. This framework reflects the characteristics of combination of disease and syndrome and overall constant motion,and provides new theories and research ideas for individualized and whole-process management of PD in TCM.
3.Expert consensus on the clinical application of parenteral direct thrombin inhibitors in special populations
Xin YAO ; Yuan BIAN ; Lizhu HAN ; Qinan YIN ; Yang LEI ; Zimeng WAN ; Luyao HUANG ; Danjie ZHAO ; Yu YAN ; Qin LI ; Baorong HU
China Pharmacy 2026;37(8):965-975
OBJECTIVE To form an expert consensus addressing clinical issues regarding the use of parenteral direct thrombin inhibitors (DTIs) in special populations. METHODS Led by the Sichuan Academy of Medical Sciences & Sichuan Provincial People’s Hospital(the Affiliated Hospital of UESTC), a multidisciplinary working group was formed comprising experts from multiple fields, including clinical pharmacy, cardiac surgery, obstetrics, pediatrics and evidence-based medicine. Through literature review and the Delphi method, clinical questions regarding the efficacy and safety of parenteral DTIs used in special populations were identified. A structured design was adopted using the “Population-Intervention-Comparison-Outcome” (PICO) framework;systematic searches were conducted in CJFD, PubMed, Embase and other databases. Relevant evidence from randomized controlled trials,cohort studies and systematic reviews were included and synthesized. Evidence quality was assessed using the Grading of Recommendations Assessment,Development and Evaluation (GRADE) approach, and recommendations were formulated through three rounds of Delphi surveys and expert consensus meetings. RESULTS &CONCLUSIONS Seven clinical questions were ultimately selected (with a consensus rate exceeding 90%), resulting in the formulation of seven recommendations on the use of parenteral DTIs in special populations, including children, pregnant women, patients with hepatic or renal impairment, patients with mesenteric venous thrombosis, and individuals with thrombophilia. These recommendations clarify the preferred agents, dosing ranges, monitoring parameters, and safety management strategies for parenteral DTIs in these special populations. This expert consensus, which is formulated based on the best available evidence, provides evidence-based guidance for standardized and individualized use of parenteral DTIs in special populations.
4.Establishment and validation of a model for femoral head necrosis after internal fixation of femoral neck fracture using logistic regression and SHAP analysis
Long LIAO ; Zepeng ZHAO ; Zongyuan LI ; Qinglong YU ; Tao ZHANG ; Jinyuan TANG ; Nan YE ; Han XU ; Bo SHI
Chinese Journal of Tissue Engineering Research 2026;30(3):626-633
BACKGROUND:The most common complication of traumatic femoral neck fractures after internal fixation is femoral head necrosis.Currently,many studies have reported on the risk factors that affect the occurrence and development of postoperative femoral head necrosis,but there is still a lack of tools to predict the risk of femoral head necrosis after internal fixation of femoral neck fractures.OBJECTIVE:To develop a predictive model that estimates the risk of femoral head necrosis shortly after patients with femoral neck fractures receive cannulated screw internal fixation.METHODS:A retrospective analysis reviewed clinical records of 172 patients who underwent cannulated screw internal fixation for femoral neck fractures at Department of Orthopedics of Mianyang Central Hospital from January 2013 to June 2023.Patients were categorized into two groups based on the presence or absence of femoral head necrosis within one year post-operation:the necrosis group and the non-necrosis group.Univariate analysis,Lasso regression,and multivariate Logistic regression techniques were employed to identify the determinants of femoral head necrosis.A nomogram prediction model was constructed using R language's"rms"package,version 4.0.The receiver operating characteristic curve was used to evaluate the discriminatory ability of the model.The Hosmer-Lemeshow test was used to evaluate the goodness of fit of the model,and the decision curve analysis was used to determine its clinical application benefits.Internal validation of the study was conducted using the Bootstrap method,involving 1 000 repeated samplings.To delve deeper into the primary factors influencing femoral head necrosis post-internal fixation of the femoral neck,this paper employed the SHAP method for data set analysis.RESULTS AND CONCLUSION:(1)The risk factors leading to femoral head necrosis in the short term after cannulated screw fixation of femoral neck fractures include:smoking,diabetes,Garden classification,fracture line location,reduction quality,age,and operation time.(2)The prediction model demonstrated robust performance,evidenced by an area under the curve of 0.940(95%Confidence Interval:0.903 to 0.977),indicating a high level of prediction accuracy.The model achieved a sensitivity of 90.2%and a specificity of 87.6%,indicating that its diagnostic performance was stable.The Hosmer-Lemeshow goodness-of-fit test yielded a chi-square value of 6.593 with a P-value of 0.581,confirming that the model's predictions closely align with the observed outcomes.(3)The calibration curve of the model also performed well,and its overall trend was very close to the ideal curve,further proving the high accuracy of the model.(4)The internal validation was carried out by the Bootstrap method with 1 000 repeated samplings,and the area under the curve of the model internal validation was still as high as 0.939,proving that the model had good stability.(5)Through the decision curve,it is found that within the probability threshold range of 1%to 92%,the model can obtain the maximum net benefit value.(6)The SHAP analysis results show that among the risk factors analyzed in this study,the location of the fracture line serves as the most significant predictor of femoral head necrosis following internal fixation with cannulated screws in femoral neck fractures,and subcapital fractures are extremely prone to femoral head necrosis after surgery.(7)It is concluded that the validated prediction model demonstrates strong discriminative power and reliability,offering practical clinical utility.It serves as a useful reference tool for short-term risk assessment of femoral head necrosis following internal fixation of femoral neck fractures.
5.Establishment and validation of a model for femoral head necrosis after internal fixation of femoral neck fracture using logistic regression and SHAP analysis
Long LIAO ; Zepeng ZHAO ; Zongyuan LI ; Qinglong YU ; Tao ZHANG ; Jinyuan TANG ; Nan YE ; Han XU ; Bo SHI
Chinese Journal of Tissue Engineering Research 2026;30(3):626-633
BACKGROUND:The most common complication of traumatic femoral neck fractures after internal fixation is femoral head necrosis.Currently,many studies have reported on the risk factors that affect the occurrence and development of postoperative femoral head necrosis,but there is still a lack of tools to predict the risk of femoral head necrosis after internal fixation of femoral neck fractures.OBJECTIVE:To develop a predictive model that estimates the risk of femoral head necrosis shortly after patients with femoral neck fractures receive cannulated screw internal fixation.METHODS:A retrospective analysis reviewed clinical records of 172 patients who underwent cannulated screw internal fixation for femoral neck fractures at Department of Orthopedics of Mianyang Central Hospital from January 2013 to June 2023.Patients were categorized into two groups based on the presence or absence of femoral head necrosis within one year post-operation:the necrosis group and the non-necrosis group.Univariate analysis,Lasso regression,and multivariate Logistic regression techniques were employed to identify the determinants of femoral head necrosis.A nomogram prediction model was constructed using R language's"rms"package,version 4.0.The receiver operating characteristic curve was used to evaluate the discriminatory ability of the model.The Hosmer-Lemeshow test was used to evaluate the goodness of fit of the model,and the decision curve analysis was used to determine its clinical application benefits.Internal validation of the study was conducted using the Bootstrap method,involving 1 000 repeated samplings.To delve deeper into the primary factors influencing femoral head necrosis post-internal fixation of the femoral neck,this paper employed the SHAP method for data set analysis.RESULTS AND CONCLUSION:(1)The risk factors leading to femoral head necrosis in the short term after cannulated screw fixation of femoral neck fractures include:smoking,diabetes,Garden classification,fracture line location,reduction quality,age,and operation time.(2)The prediction model demonstrated robust performance,evidenced by an area under the curve of 0.940(95%Confidence Interval:0.903 to 0.977),indicating a high level of prediction accuracy.The model achieved a sensitivity of 90.2%and a specificity of 87.6%,indicating that its diagnostic performance was stable.The Hosmer-Lemeshow goodness-of-fit test yielded a chi-square value of 6.593 with a P-value of 0.581,confirming that the model's predictions closely align with the observed outcomes.(3)The calibration curve of the model also performed well,and its overall trend was very close to the ideal curve,further proving the high accuracy of the model.(4)The internal validation was carried out by the Bootstrap method with 1 000 repeated samplings,and the area under the curve of the model internal validation was still as high as 0.939,proving that the model had good stability.(5)Through the decision curve,it is found that within the probability threshold range of 1%to 92%,the model can obtain the maximum net benefit value.(6)The SHAP analysis results show that among the risk factors analyzed in this study,the location of the fracture line serves as the most significant predictor of femoral head necrosis following internal fixation with cannulated screws in femoral neck fractures,and subcapital fractures are extremely prone to femoral head necrosis after surgery.(7)It is concluded that the validated prediction model demonstrates strong discriminative power and reliability,offering practical clinical utility.It serves as a useful reference tool for short-term risk assessment of femoral head necrosis following internal fixation of femoral neck fractures.
6.Clinical efficacy and influencing factors of Chaihu anxin capsules in the treatment of mild-to-moderate depression
Yaqing LI ; Yupei HAO ; Shizhao YUAN ; Wentao WANG ; Chunhua ZHOU ; Yancong HAN ; Yuanyuan ZHAO ; Zhuo ZHANG ; Shulian FU ; Jing YU
China Pharmacy 2026;37(18):2402-2407
OBJECTIVE To evaluate the clinical efficacy of Chaihu anxin capsules in the treatment of mild-to-moderate depression, analyze the influencing factors of its efficacy, construct a nomogram prediction model.METHODS Patients with mild-to-moderate depression treated at The First Hospital of Hebei Medical University from May 1, 2023 to March 10, 2025 were retrospectively included and categorized into Chaihu anxin capsules group and milnacipran group according to treatment regimen. Propensity score matching (PSM) was used to balance baseline characteristics, and treatment efficacy was compared after 8 weeks, including 24 Hamilton Depression Scale (HAMD-24) scores and changes, Hamilton Anxiety Scale (HAMA) scores and changes, and treatment response rate after 8 weeks of treatment. Patients receiving Chaihu anxin capsules were further classified as responders or non-responders based on the occurrence of treatment response. Univariate and multivariate Logistic regression analyses were conducted to identify the influencing factors of treatment response, and a nomogram model was constructed to predict the probability of treatment response, its predictive performance was evaluated using receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis.RESULTS A total of 297 patients were included before PSM, including 196 patients in the Chaihu anxin capsules group and 101 patients in the milnacipran group. After PSM, each group included 44 patients. After PSM, the HAMD-24 scores and HAMA scores at 8 weeks after treatment in the Chaihu anxin capsules group, as well as the HAMD-24 scores in the milnacipran group, were significantly lower than their respective baseline values ( P <0.05); the change in HAMA score in the Chaihu anxin capsules group was significantly greater than that in the milnacipran group ( P =0.04). Multivariable Logistic regression identified age, total bilirubin, and baseline HAMD-24 score as independent predictors of treatment response ( P <0.05). The area under the ROC curve of the constructed nomogram prediction model was 0.72 (95% confidence interval: 0.637-0.799), and the corrected Brier score was 0.143 (95% confidence interval: 0.112-0.176); compared with the “all intervention” and “all non intervention” strategies, applying this nomogram prediction model could achieve higher net benefits within the threshold probability range of 8% to 37%.CONCLUSIONS The efficacy of Chaihu anxin capsules in improving mild-to-moderate depression is comparable to that of milnacipran, and it has certain advantages in improving anxiety symptoms; age, total bilirubin, and baseline HAMD-24 score are independent influencing factors for the treatment response of Chaihu anxin capsules. The nomogram prediction model constructed based on these factors has good discrimination, calibration, and clinical applicability.
7.Gushukang interferes with osteoclasts:activation of nuclear factor erythroid 2-related factor 2 regulates the c-Fos/NFATc1 pathway in the treatment of osteoporosis
Chengzhi HOU ; Jiatong HAN ; Guangcheng WEI ; Zechuan ZHUO ; Qiuyue LI ; Yong ZHAO ; Zhangjingze YU
Chinese Journal of Tissue Engineering Research 2025;29(2):279-285
BACKGROUND:It has been shown that Gushukang affects bone metabolism by regulating nucleotide and amino acid metabolism and immune mechanisms.Current research on the mechanism of Gushukang in the treatment of osteoporosis primarily focuses on osteoblast regulation and requires further improvement from the perspective of osteoclasts. OBJECTIVE:To investigate the mechanism by which Gushukang interferes with osteoclasts in the treatment of osteoporosis using RAW264.7 cells as the research model. METHODS:Twenty-four 8-week-old female Sprague-Dawley rats were randomly divided into four groups(n=6 per group):the three experimental groups were given 1,2 and 4 g/kg osteoporosis solution by gavage(2 times per day),and the control group was given an equal amount of distilled water by gavage(2 times per day).After 7 days of intragastric administration,aortic blood samples were extracted to collect serum samples using centrifugation,and serum samples from the same groups were combined to obtain the low-,medium-,and high-concentration Gushukang-containing and normal sera for the subsequent experiments.(1)RAW264.7 cells were cultured in six groups:normal serum was added to the control group;low,medium,and high concentration groups were added with low,medium,and high concentrations of Gushukang-containing serum,respectively;ML385,a nuclear factor erythroid 2-related factor 2(Nrf2)inhibitor was given in the Nrf2 inhibitor group;and t-BHQ,a Nrf2 activator,was added in the Nrf2 activator group.Cell viability was detected using the cell counting kit-8 assay.(2)The 3rd generation RAW 264.7 cells were cultured and divided into five groups:the blank control group was added with normal serum,the osteoclast group was added with receptor activator of nuclear factor κB ligand(RANKL),and the low-,medium-,and high-concentration groups were added with low-,medium-,and high-concentration Gushukang-containing serum based on the addition of RANKL.Tartrate-resistant acid phosphate staining was performed after 5 days of culture.(3)RAW264.7 cells were cultured and divided into five groups:blank control group was cultured with normal serum,osteoclast group cultured with normal serum and RANKL,high concentration+osteoclast group cultured with RANKL+high concentration Gushukang-containing serum,osteoclast+Nrf2 agonist group cultured with RANKL+t-BHQ,and high concentration+osteoclast+Nrf2 inhibitor group cultured with RANKL+high concentration Gushukang-containing serum+ML385.Western blot assay and determination of reactive oxygen content were performed after 5 days of culture. RESULTS AND CONCLUSION:The cell counting kit-8 results indicated that Gushukang-containing serum,NRF2 inhibitor or agonist had no significant effect on RAW264.7 cell viability.Tartrate-resistant acid phosphate staining results demonstrated that Gushukang-containing serum exhibited a concentration-dependent inhibitory effect on osteoclast differentiation.Western blot analysis and determination of reactive oxygen species revealed that compared with the blank control group,Nrf2 protein expression was decreased in the osteoclast group(P<0.05),while c-Fos and NFATc1 protein expression and reactive oxygen species content were elevated(P<0.05);compared with the osteoclast group,Nrf2 protein expression was elevated and reactive oxygen species content was decreased in the high-concentration+osteoclast group,osteoclast+Nrf2 agonist group,and high-concentration+osteoclast+Nrf2 inhibitor group(P<0.05),while c-Fos and NFATc1 protein expression was decreased in the high concentration+osteoclast group and osteoclast+Nrf2 agonist group(P<0.05);compared with the high concentration+osteoclast group,Nrf2 protein expression was decreased(P<0.05)and reactive oxygen species content was elevated(P<0.05)in the high concentration+osteoclast+Nrf2 inhibitor group.To conclude,Gushukang reduces reactive oxygen species production by activating Nrf2,thereby inhibiting downstream of the c-Fos/NFATc1 pathway and suppressing osteoclast differentiation.
8.Construction and Application Evaluation of an Integrated Traditional Chinese and Western Medicine Risk Prediction Model for Readmission in Patients with Stable Angina of Coronary Heart Disease:A Prospective Study Based on Real-World Clinical Data
Wenjie HAN ; Mingjun ZHU ; Xinlu WANG ; Rui YU ; Guangcao PENG ; Qifei ZHAO ; Jianru WANG ; Shanshan NIE ; Yongxia WANG ; Jingjing WEI
Journal of Traditional Chinese Medicine 2025;66(6):604-611
ObjectiveBy exploring the influencing factors of readmission in patients with stable angina of coronary heart disease (CHD) based on real-world clinical data, to establish a risk prediction model of integrated traditional Chinese and western medicine, in order to provide a basis for early identification of high-risk populations and reducing readmission rates. MethodsA prospective clinical study was conducted involving patients with stable angina pectoris of CHD, who were divided into a training set and a validation set at a 7∶3 ratio. General information, traditional Chinese medicine (TCM)-related data, and laboratory test results were uniformly collected. After a one-year follow-up, patients were classified into a readmission group and a non-readmission group based on whether they were readmitted. Univariate and multivariate logistic regression analyses were performed to identify independent risk factors for readmission. A risk prediction model of integrated traditional Chinese and western medicine was constructed and visualized using a nomogram. The model was validated and evaluated in terms of discrimination, calibration, and clinical decision curve analysis. ResultsA total of 682 patients were included, with 477 in the training set and 205 in the validation set, among whom 89 patients were readmitted. Multivariate logistic regression analysis identified heart failure history [OR = 6.93, 95% CI (1.58, 30.45)], wiry pulse [OR = 2.58, 95% CI (1.42, 4.72)], weak pulse [OR = 3.97, 95% CI (2.06, 7.67)], teeth-marked tongue [OR = 4.38, 95% CI (2.32, 8.27)], blood stasis constitution [OR = 2.17, 95% CI (1.06, 4.44)], phlegm-stasis mutual syndrome [OR = 3.64, 95% CI (1.87, 7.09)], and elevated non-high-density lipoprotein cholesterol [OR = 1.30, 95% CI (1.01, 1.69)] as influencing factors of readmission. These factors were used as predictors to construct a nomogram-based risk prediction model for readmission in patients with stable angina. The model demonstrated moderate predictive capability, with an area under the receiver operating characteristic curve (AUC) of 0.818 [95% CI (0.781, 0.852)] in the training set and 0.816 [95% CI (0.779, 0.850)] in the validation set. The Hosmer-Lemeshow test showed good calibration (χ² = 4.55, P = 0.80), and the model's predictive ability was stable. When the threshold probability exceeded 5%, the clinical net benefit of using the model to predict readmission risk was significantly higher than intervening in all patients. ConclusionHistory of heart failure, teeth-marked tongue, weak pulse, wiry pulse, phlegm-stasis mutual syndrome, blood stasis constitution, and non-high-density lipoprotein cholesterol are influencing factors for readmission in patients with stable angina of CHD. A clinical prediction model was developed based on these factors, which showed good discrimination, calibration, and clinical utility, providing a scientific basis for predicting readmission events in patients with stable angina.
9.Research on Service Mode of Public Hospital Operation Assistant Working Team Based on S-MDT
Zihan MU ; Zhiping GUO ; Yuxiu TAO ; Leichao WANG ; Xueqing YU ; Zixu GUO ; Han LIU ; Yaojun ZHAO
Chinese Hospital Management 2025;45(3):32-35
The operation assistant work team of public hospitals is an important bridge and link to realize the integration of industry and finance,and an important practitioner to promote the realization of lean operation management.It examines the service model of the operation assistant team engaged in Similar Multi-disciplinary Treatment,focusing on organizational structure,job responsibilities,and service mechanisms.Build a four-tiered lean operational management system and set up an operation assistant work team that combines production,university and research.Based on specific management matters,establish an operation assistant service mechanism such as problem assessment and classification management mechanism,project standardization management mechanism,reward and punishment assessment mechanism,etc.,to promote the optimization and integration of hospital medical education,research,prevention and management and core elements such as human,talent,material and technology resources.Help public hospitals to continuously improve their lean operation management level.
10.Guideline for diagnosis and treatment of infection after internal fixation of closed lower limb fractures in adults (version 2025)
Bobin MI ; Faqi CAO ; Weixian HU ; Wu ZHOU ; Chenchen YAN ; Hui LI ; Yun SUN ; Yuan XIONG ; Jinmi ZHAO ; Qikai HUA ; Xinbao WU ; Xieyuan JIANG ; Dianying ZHANG ; Zhongguo FU ; Dankai WU ; Guangyao LIU ; Guodong LIU ; Tengbo YU ; Jinhai TAN ; Xi CHEN ; Fengfei LIN ; Zhangyuan LIN ; Dongfa LIAO ; Aiguo WANG ; Shiwu DONG ; Gaoxing LUO ; Zhao XIE ; Dong SUN ; Dehao FU ; Yunfeng CHEN ; Changqing ZHANG ; Kun LIU ; Deye SONG ; Yongjun RUI ; Fei WU ; Ximing LIU ; Junwen WANG ; Meng ZHAO ; Biao CHE ; Bing HU ; Chengjian HE ; Guanglin WANG ; Xiao CHEN ; Guandong DAI ; Shiyuan FANG ; Wenchao SONG ; Ming CHEN ; Guanghua GUO ; Yongqing XU ; Lei YANG ; Wenqian ZHANG ; Kun ZHANG ; Xin TANG ; Hua CHEN ; Weiguo XU ; Shuquan GUO ; Yong LIU ; Xiaodong GUO ; Zhewei YE ; Liming XIONG ; Tian XIA ; Hongbin WU ; Qisheng ZHOU ; Mengfei LIU ; Yiqiang HU ; Yanjiu HAN ; Hang XUE ; Kangkang ZHA ; Wei CHEN ; Zhiyong HOU ; Bin YU ; Jiacan SU ; Peifu TANG ; Baoguo JIANG ; Guohui LIU
Chinese Journal of Trauma 2025;41(5):421-432
Postoperative infection of internal fixation of closed fractures the lower limbs in adults represents a devastating complication, characterized by diagnostic challenges, prolonged treatment duration and high disability rates. Current management of these infections faces multiple challenges, such as difficulties in early accurate diagnosis, and various controversies about the treatment plan, leading to poor overall diagnosis and treatment results. To address these issues, based on evidence-based medicine and principles with emphasis on scientific rigor, clinical applicability and innovation, the Trauma Branch of the Chinese Medical Association, Orthopedic Branch of the Chinese Medical Doctor Association, Orthopedics Branch of the Chinese Medical Association, and Trauma Orthopedics and Polytrauma Group of the Resuscitation and Emergency Committee of the Chinese Medical Doctor Association have collaboratively organized a panel of relevant experts to develop the Guideline for diagnosis and treatment of infection after internal fixation of closed lower limb fractures in adults ( version 2025). The guideline proposed 10 recommendations, aiming to provide a foundation for standardized diagnosis and treatment of postoperative infection in adults with closed lower limb fractures.

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