With the rapid development of competitive sports, the incidence of anterior cruciate ligament (ACL) injury is on the rise. Such injuries may shorten athletes′ career and lead to other long-term adverse consequences. Although athletes generally recover well after ACL reconstruction, many still struggle to return to their pre-injury performance levels. Advances in the understanding of ACL anatomy and injury mechanisms, along with the evolution of surgical techniques and rehabilitation methods, have provided more individualized and tailored options for athletes following ACL injuries. However, there is currently no consensus in China regarding surgical and rehabilitation strategies for competitive athletes aiming to return to sports after ACL injuries. To this end, the Sports Medicine Committee of the Chinese Research Hospital Association and the Editorial Board of the Chinese Journal of Trauma jointly formulated the Expert consensus on surgical treatment and rehabilitation for competitive sports athletes returning to sports after anterior cruciate ligament injury ( version 2025), and presented 14 recommendations covering surgical indications, preoperative rehabilitation, surgical timing, surgical strategies and postoperative rehabilitation strategies, aiming to improve the surgical treatment and rehabilitation system for ACL injuries in competitive athletes and facilitate their return to high-level sports performance after injury.

Objectives:To describe the use of antihypertensive, antidiabetic and lipid-lowering drugs, and evaluate the effects on blood pressure, blood glucose and blood lipids controls required by Chinese Guideline on the Primary Prevention of Cardiovascular Diseases (the guideline) in a community-based cohort of individuals at high risk for cardiovascular disease. To analyze the association of the uses of antihypertensive, antidiabetic and lipid-lowering drugs, and the comprehensive control of blood pressure, blood glucose and blood lipids with cardiovascular disease. Methods:From the CHinese Electronic health Records Research in Yinzhou (CHERRY), those who were at high risk for cardiovascular disease and aged 40-75 years as of January 1, 2013 in in Yinzhou District of Ningbo, Zhejiang Province were selected as study subjects. The information about their antihypertensive, antidiabetic, and lipid-lowering drug uses between 2013 and 2015 was collected, and blood pressure, blood glucose, and blood lipid measurements were conducted during the follow-up. The study constructed two kinds of comprehensive scores: the comprehensive medication score based on the guideline requirement for the treatment of hypertension, diabetes and hyperlipidemia, dividing the study participants into the compliancy group and non-compliancy group; and the comprehensive control score based on the guideline requirement for blood pressure, blood glucose, and blood lipids control, dividing the study participants into better control group, moderate control group, and poor control group. Cox proportional hazards regression model was used to analyze the association of the comprehensive medication score and comprehensive control score with cardiovascular disease. The incidence data of cardiovascular disease were collected from January 1, 2015 (baseline time) to August 31, 2020 (follow up end time).Results:A total of 79 734 participants at high risk for cardiovascular disease were included in the study, in whom 68.4%, 27.4%, and 4.2% had 1, 2, or 3 cardiometabolic conditions (hypertension, diabetes, or hyperlipidemia), respectively. In the participants with hypertension, diabetes, and hyperlipidemia from 2013 to 2015, the proportions of those who had two years of medication compliancy records were 66.0%, 67.4%, and 13.9%, respectively. In the hypertension patients, 59.2% had better blood pressure control, in the diabetes patients, 28.7% had better blood glucose control, and in the patients with hyperlipidemia, 27.4% had better blood lipid control. After a median follow-up of 5.66 years, 4 088 cardiovascular disease cases or deaths occurred. After multivariate adjustment, compared with the non-compliancy group, the compliancy group had lower risk for cardiovascular disease ( HR=0.91, 95% CI: 0.85-0.96). Compared with the better control group, the poor control group had an increased risk for cardiovascular disease ( HR=1.67, 95% CI: 1.53-1.81). In the moderate control group, the risk increased significantly in the diabetes patients ( HR=1.29, 95% CI: 1.07-1.56), while no additional risk for cardiovascular disease was observed in non-diabetes patients ( HR=1.06, 95% CI: 0.97-1.16). Conclusions:Compliancy to the medication required by the guideline is associated with lower risk for cardiovascular disease. However, it is still necessary to improve the medication compliancy in people at high risk in primary prevention, especially in the patients with hyperlipidemia, due to their low taking rate of lipid-lowering drugs. Additionally, as the requirement of the guideline becomes more stringent, the management of disease has met more challenges. Notably, diabetes patients who have not met the guideline requirement are at high risk for cardiovascular disease, to whom the disease management should be strengthened.

OBJECTIVE To investigate the selection strategy for recipient vessels in free flap reconstruction of head and neck defects.METHODS A retrospective analysis was conducted on 96 patients who underwent 99 free flap reconstructions for head and neck defects between January 2020 and December 2024.Recipient vessel selection,flap survival,and postoperative complications were analyzed based on defect location and flap type.RESULTS In 99 cases microvessel anastomosis,the recipient arteries were superior thyroid artery in 49 branches,facial artery in 28 branches,superficial temporal artery in 14 branches,lingual artery in 5 branches.external carotid artery in 1 branch,transverse cervical artery in 1 branch,and superior laryngeal artery in 1 branch.Venous anastomosis was performed in 104 branches,with 94 cases in 1 venous anastomosis and 5 cases in 2 venous anastomoses.The recipient veins selected were facial vein in 62 branches,external jugular vein in 21 branches,superficial temporal vein in 12 branches,retromandibular vein in 3 branches,middle thyroid vein in 2 branches,internal jugular vein in 2 branches,middle temporal vein in 1 branch,and superior thyroid vein in 1 branch.Complete flap necrosis occurred in 5 cases,and partial necrosis occurred in 4 cases.When the recipient vessels were deficient,the lingual artery was chosen in 3 cases,the facial artery in 1 case,the external jugular vein in 3 cases,the internal jugular vein with end-to-side anastomosis in 1 case,and the common facial vein with end-to-side anastomosis in 1 case.CONCLUSION In free flap reconstruction for head and neck defects,the superior thyroid artery,facial artery,and superficial temporal artery are commonly used as recipient arteries,while the facial vein,external jugular vein,and superficial temporal vein are frequently selected as recipient veins.When recipient vessels are scarce,the ipsilateral lingual artery,transverse cervical artery,and main trunk of the internal jugular vein can serve as alternative recipient vessels.

OBJECTIVE To explore the application of the facial artery musculomucosal(FAMM)flap for the reconstruction of head and neck defects.METHODS A retrospective analysis of 9 patients with head and neck defects reconstructed with the FAMM at the Department of Otolaryngology Head and Neck Surgery,Beijing Tongren Hospital,Capital Medical University,between May 2019 and March 2024.Data regarding defect location,flap size,and postoperative complications were analyzed.RESULTS The defect locations among the nine patients were as follows:hard palate(3 cases),soft palate(2 cases),nasal septum and columella(1 case),oropharyngeal lateral wall(1 case),retromolar region and oropharyngeal lateral wall(1 case),and lower lip(1 case).The FAMM flap sizes ranged from 1.5 cm×2.5 cm to 4 cm×6 cm.Primary closure of the donor site was achieved by direct intermittent suturing in 7 cases;one case was repaired using acellular dermal matrix,and 1 case was repaired using a buccal fat pad graft.Postoperatively,eight flaps survived completely,while 1 flap experienced necrosis.None of the patients developed trismus or malocclusion.CONCLUSION The FAMM flap is suitable for reconstructing defects of the hard palate,soft palate,lower lip or oropharyngeal lateral wall.With reliable blood supply and an intraoral donor site,it offers relatively favorable aesthetic outcomes and is worthy of widespread adoption.

Objective:Efficacy of prothrombin complex concentration (PCC) and analysis of prognostic factors in patients with traumatic trauma-induced coagulopathy (TIC).Methods:A retrospective study was conducted on patients with TIC admitted to 11 hospitals from January to December 2021. The data included baseline characteristics, injury information, blood product transfusions (including PCC treatment), laboratory examination at admission and 24 hour-after admission, treatment measure, pre-hospitalization time, and clinical outcomes (improvement at discharge, length of hospital stay). The patients were divided into a conventional group and a PCC group according to whether they were treated with PCC. Propensity score matching method was used to match the patients at a 1:1 ratio, and the differences in different indicators between the groups were compared. Univariate and multivariate logistic regression analyses were performed to identify prognostic factors for TIC patients.Results:After propensity score matching, 103 patients were identified in both the PCC and conventional groups. Univariate logistic regression analysis revealed no significant differences in age, gender, Glasgow Coma Scale (GCS) score, injury severity score, acute physiology and chronic health evaluation score, underlying diseases, pre-hospitalization time, injury type and site, and treatment measure (use of vasoactive drugs, calcium agents, tranexamic acid, and emergency surgery) between the two groups (all P>0.05). Compared with the conventional group, the PCC group exhibited lower 24-hour white blood cell counts, lactate level, prothrombin time, and international normalized ratio (INR) (all P<0.05), whereas hemoglobin level and pH value were higher (both P<0.05). The PCC group also had a shorter hospital stay (13 d vs. 15 d, P<0.05). However, there was no significant difference in the rate of improvement at discharge between the two groups ( P=0.308). Multivariate logistic regression revealed that age (>68 years), GCS score (<5 points), fibrinogen (FIB) level (after 24 h, <2.04 g/L), and INR (after 24 h, >1.455) were independent risk factors affecting the prognosis of TIC patients, and the AUCs were 0.632, 0.702, 0.733, and 0.752, respectively. Conclusions:Treatment with PCC in TIC patients can correct coagulation dysfunction and reduce hospital stay. Age, GCS score, FIB level and INR after 24 h affect the clinical prognosis of TIC patients, which requires special attention.

Objective:To explore the prognostic influencing factors of patients with pulmonary large cell neuroendocrine carcinoma (LCNEC), to develop a nomogram-based predictive model for the overall survival (OS) of LCNEC patients and to make validation.Methods:The clinical data of 2 947 patients with LCNEC in the Surveillance, Epidemiology, and End Results (SEER) database (the modeling group) and 147 patients with LCNEC in Beijing Chest Hospital Affiliated to Capital Medical University from 2010 to 2023 (the validation group). The data of patients in the both groups were compared. Cox proportional hazards model was used to screen out the factors influencing the OS of patients with LCNEC. A nomogram model was constructed to predict the OS based on the multivariate analysis result. Internal validation of the predictive model's performance was conducted through 500 repeated samplings based on the Bootstrap method. The predictive performance of the nomogram model was evaluated by using the area under the curve (AUC) of the receiver operating characteristic (ROC) curve. The consistency index (CI) was used to analyze the discrimination of the nomogram model in predicting the survival of LCNEC patients; calibration curves were used to analyze the consistency between the survival predicted by the nomogram model and the actual survival outcomes; and the decision curve analysis (DCA) was used to assess the net benefit of the model for actual clinical decision-making.Results:The differences in the proportions of patients with different age, gender, race, tumor staging, N stage, M stage, hepatic metastasis or not, pulmonary metastasis or not, chemotherapy and radiotherapy or not between the modeling group and the validation group were statistically significant (all P < 0.05). The median OS time of LCNEC patients in the modeling group was 14.0 months, with the 1-year OS rate of 53.3% and the 5-year OS rate of 21.2%; the median OS time of LCNEC patients in the validation group was 17.5 months, with the 1-year OS rate of 58.7%; there was no statistically significant difference in OS between the 2 groups ( P = 0.280). In the modeling group, the median OS time of female and male LCNEC patients was 18.0 and 12.0 months, respectively, and the difference in OS between the 2 groups was statistically significant ( P < 0.05); for patients with stage Ⅰ-Ⅱ, Ⅲ, and Ⅳ LCNEC, the median OS time was 48.0, 16.0, and 6.0 months, respectively, and the difference in OS among the 3 groups was statistically significant ( P < 0.05); the median OS time of patients receiving surgery and not receiving surgery was 28.0 and 8.0 months, respectively, and the difference in OS between the 2 groups was statistically significant ( P < 0.05). The differences in OS among female and male, patients in stages Ⅰ-Ⅱ, Ⅲ and Ⅳ, patients who underwent surgery or not were statistically significant (all P < 0.05). The results of multivariate Cox regression analysis in the modeling group showed that patients aged >60 years old (>60 years old vs. ≤60 years old: HR = 1.234, 95% CI: 1.114-1.367, P < 0.01), M 1 stage (M 1 stage vs. M 0 stage, HR = 2.646,95% CI: 2.385-2.935, P < 0.001), T 2-4 stage (T 2-4 stage vs. T 1 stage: HR = 1.199, 95% CI: 1.147-1.252, P < 0.001), N 1-3 stage (N 1-3 stage vs. N 0 stage: HR = 1.281, 95% CI: 1.225-1.340, P < 0.001) were independent risk factors of the OS in patients with LCNEC; female (female vs. male: HR = 0.877, 95% CI: 0.805-0.956, P = 0.003), surgery (yes vs. no: HR = 0.612, 95% CI: 0.554-0.676, P < 0.001), chemotherapy (yes vs. no: HR = 0.520, 95% CI: 0.470-0.575, P < 0.001) were independent protective factors of the OS in patients with LCNEC. A nomogram model for predicting 1, 3, and 5-year OS rates of LCNEC patients was constructed based on age, gender, T stage, N stage, M stage, surgery and chemotherapy. The result of ROC curve analysis indicated that the AUC of the nomogram model for predicting 1, 3, and 5-year OS rates in the modeling group was 0.822, 0.821 and 0.821, respectively, while the AUC of 1-year OS rate predicted by the validation group was 0.660. The CI of the modeling group and the validation group was 0.756 and 0.660, respectively. The calibration curve showed that 1, 3, and 5-year OS rates predicted by the modeling group were highly consistent with the actual OS rates. The DCA showed that the nomogram model for predicting OS in the modeling group and the validation group both had good clinical net benefits. Conclusions:The constructed nomogram model for predicting the prognosis of LCNEC patients is proved to be reliable and has good clinical values.

Low molecular weight heparin (LMWH) is an anticoagulant derived from the chemical cleavage of standard heparin, which possesses similar anticoagulant effects. LMWH has high bioavailability, a long half-life, does not cross the placentas, and is considered to be a safe medication during pregnancy. Consequently, LMWH is widely used in the prevention and treatment of various obstetric conditions. However, the clinical application of LMWH still encounters the problem of overconsumption and non-standardized usage. Based on existing evidence, this article summarizes the molecular mechanism of LMWH, its indications in obstetrics, side effects, and dosage selection in particular situations, aiming to provide insights into achieving a balance of benefits and potential risks for applying LMWH in obstetrics.

Objective:To use machine learning to predict the efficacy of accelerated corneal collagen cross-linking (A-CXL) surgery, identify prognostic factors, and construct models to predict postoperative disease progression.Methods:A single-center retrospective study was conducted.A total of 82 keratoconus patients (112 eyes) who underwent A-CXL surgery at the West China Hospital of Sichuan University between March and December 2021 were enrolled.Preoperative and follow-up examinations included anterior segment evaluation by slit-lamp microscopy, corneal topography using Pentacam, and corneal biomechanical indices using Corvis ST.Disease progression was defined as an increase in maximum keratometry (Kmax) of ≥1 D from the preoperative level at the last follow-up.Various machine learning algorithms were employed to analyze corneal topography, biomechanical parameters and corneal densitometry values to identify prognostic factors and construct models for predicting postoperative disease progression.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of West China Hospital, Sichuan University (No.2023496).Written informed consent was obtained from each subject.Results:During follow-up, 15.1% (17/112) of the eyes showed progression after A-CXL.The preoperative astigmatism and stress-strain index (SSI) in the progression group were (-5.41±2.72)D and 1.41±0.78, respectively, which were significantly higher than (-3.30±2.54)D and 0.95±0.98 in the non-progression group ( t=2.80, 2.03; both P<0.05).Cox regression analysis identified preoperative astigmatism (hazard ratio [HR]=1.20), SSI (HR=1.10), and anterior corneal densitometry of 2-6 mm (CDA6) (HR=2.10) as significant risk factors for post-A-CXL progression.Among various machine learning models developed and validated, the area under the curve (AUC) values for logistic regression, multilayer perceptron (MLP) model, and random forest (RF) exceeded 0.700.For F1-score, the AUC values for logistic regression, MLP, and RF were 0.870, 0.880, and 0.880, respectively.The network structure of the visualized MLP was a single-layer, 24-neurons neural network with 80% accuracy in predicting whether progression occurred after A-CXL.The clinical nomogram developed in conjunction with astigmatism, SSI, and CDA6 predicted the cumulative probability of progression at 0.5, 1, and 2 years postoperatively based on the sum of the specified values for each variable, and based on the optimal cutoff value, keratoconus corneas could be classified into high-, intermediate-, and low-risk groups, respectively.The time-dependent subject operating characteristic curves of the nomogram showed AUCs of 0.734, 0.685, and 0.935 at 0.5, 1, and 2 years postoperatively, respectively, all of which performed well in predicting progression. Conclusions:Preoperative astigmatism, SSI, and CDA6 are significant risk factors for post-A-CXL progression in keratoconus.The MLP model can accurately predict postoperative disease progression, and the clinical nomogram combining preoperative astigmatism, SSI, and CDA6 can effectively differentiate between low-, medium-, and high-risk postoperative progression outcomes.

Objective:To use machine learning to predict the efficacy of accelerated corneal collagen cross-linking (A-CXL) surgery, identify prognostic factors, and construct models to predict postoperative disease progression.Methods:A single-center retrospective study was conducted.A total of 82 keratoconus patients (112 eyes) who underwent A-CXL surgery at the West China Hospital of Sichuan University between March and December 2021 were enrolled.Preoperative and follow-up examinations included anterior segment evaluation by slit-lamp microscopy, corneal topography using Pentacam, and corneal biomechanical indices using Corvis ST.Disease progression was defined as an increase in maximum keratometry (Kmax) of ≥1 D from the preoperative level at the last follow-up.Various machine learning algorithms were employed to analyze corneal topography, biomechanical parameters and corneal densitometry values to identify prognostic factors and construct models for predicting postoperative disease progression.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of West China Hospital, Sichuan University (No.2023496).Written informed consent was obtained from each subject.Results:During follow-up, 15.1% (17/112) of the eyes showed progression after A-CXL.The preoperative astigmatism and stress-strain index (SSI) in the progression group were (-5.41±2.72)D and 1.41±0.78, respectively, which were significantly higher than (-3.30±2.54)D and 0.95±0.98 in the non-progression group ( t=2.80, 2.03; both P<0.05).Cox regression analysis identified preoperative astigmatism (hazard ratio [HR]=1.20), SSI (HR=1.10), and anterior corneal densitometry of 2-6 mm (CDA6) (HR=2.10) as significant risk factors for post-A-CXL progression.Among various machine learning models developed and validated, the area under the curve (AUC) values for logistic regression, multilayer perceptron (MLP) model, and random forest (RF) exceeded 0.700.For F1-score, the AUC values for logistic regression, MLP, and RF were 0.870, 0.880, and 0.880, respectively.The network structure of the visualized MLP was a single-layer, 24-neurons neural network with 80% accuracy in predicting whether progression occurred after A-CXL.The clinical nomogram developed in conjunction with astigmatism, SSI, and CDA6 predicted the cumulative probability of progression at 0.5, 1, and 2 years postoperatively based on the sum of the specified values for each variable, and based on the optimal cutoff value, keratoconus corneas could be classified into high-, intermediate-, and low-risk groups, respectively.The time-dependent subject operating characteristic curves of the nomogram showed AUCs of 0.734, 0.685, and 0.935 at 0.5, 1, and 2 years postoperatively, respectively, all of which performed well in predicting progression. Conclusions:Preoperative astigmatism, SSI, and CDA6 are significant risk factors for post-A-CXL progression in keratoconus.The MLP model can accurately predict postoperative disease progression, and the clinical nomogram combining preoperative astigmatism, SSI, and CDA6 can effectively differentiate between low-, medium-, and high-risk postoperative progression outcomes.

Objectives:To describe the use of antihypertensive, antidiabetic and lipid-lowering drugs, and evaluate the effects on blood pressure, blood glucose and blood lipids controls required by Chinese Guideline on the Primary Prevention of Cardiovascular Diseases (the guideline) in a community-based cohort of individuals at high risk for cardiovascular disease. To analyze the association of the uses of antihypertensive, antidiabetic and lipid-lowering drugs, and the comprehensive control of blood pressure, blood glucose and blood lipids with cardiovascular disease. Methods:From the CHinese Electronic health Records Research in Yinzhou (CHERRY), those who were at high risk for cardiovascular disease and aged 40-75 years as of January 1, 2013 in in Yinzhou District of Ningbo, Zhejiang Province were selected as study subjects. The information about their antihypertensive, antidiabetic, and lipid-lowering drug uses between 2013 and 2015 was collected, and blood pressure, blood glucose, and blood lipid measurements were conducted during the follow-up. The study constructed two kinds of comprehensive scores: the comprehensive medication score based on the guideline requirement for the treatment of hypertension, diabetes and hyperlipidemia, dividing the study participants into the compliancy group and non-compliancy group; and the comprehensive control score based on the guideline requirement for blood pressure, blood glucose, and blood lipids control, dividing the study participants into better control group, moderate control group, and poor control group. Cox proportional hazards regression model was used to analyze the association of the comprehensive medication score and comprehensive control score with cardiovascular disease. The incidence data of cardiovascular disease were collected from January 1, 2015 (baseline time) to August 31, 2020 (follow up end time).Results:A total of 79 734 participants at high risk for cardiovascular disease were included in the study, in whom 68.4%, 27.4%, and 4.2% had 1, 2, or 3 cardiometabolic conditions (hypertension, diabetes, or hyperlipidemia), respectively. In the participants with hypertension, diabetes, and hyperlipidemia from 2013 to 2015, the proportions of those who had two years of medication compliancy records were 66.0%, 67.4%, and 13.9%, respectively. In the hypertension patients, 59.2% had better blood pressure control, in the diabetes patients, 28.7% had better blood glucose control, and in the patients with hyperlipidemia, 27.4% had better blood lipid control. After a median follow-up of 5.66 years, 4 088 cardiovascular disease cases or deaths occurred. After multivariate adjustment, compared with the non-compliancy group, the compliancy group had lower risk for cardiovascular disease ( HR=0.91, 95% CI: 0.85-0.96). Compared with the better control group, the poor control group had an increased risk for cardiovascular disease ( HR=1.67, 95% CI: 1.53-1.81). In the moderate control group, the risk increased significantly in the diabetes patients ( HR=1.29, 95% CI: 1.07-1.56), while no additional risk for cardiovascular disease was observed in non-diabetes patients ( HR=1.06, 95% CI: 0.97-1.16). Conclusions:Compliancy to the medication required by the guideline is associated with lower risk for cardiovascular disease. However, it is still necessary to improve the medication compliancy in people at high risk in primary prevention, especially in the patients with hyperlipidemia, due to their low taking rate of lipid-lowering drugs. Additionally, as the requirement of the guideline becomes more stringent, the management of disease has met more challenges. Notably, diabetes patients who have not met the guideline requirement are at high risk for cardiovascular disease, to whom the disease management should be strengthened.