OBJECTIVES: This study investigates independent risk factors for postoperative internal fixation device infection in patients with maxillofacial fractures and proposes an early warning model based on the synthetic minority over-sampling technique (SMOTE) algorithm. METHODS: A total of 1 104 patients who underwent surgical treatment for maxillofacial fractures at Oral and Maxillofacial Surgery Department, Affiliated Hospital of Nantong University from January 2021 to December 2024 were retrospectively analyzed. The patients were divided into two groups based on the presence of postoperative internal fixation device infection: the infection group (27 cases) and non-infection group (1 077 cases). Clinical data from both groups were collected and subjected to statistical analysis. Univariate and binary Logistic regression analysis were used to identify risk factors for postoperative internal fixation device infection in maxillofacial fractures. Subsequently, a Logistic regression model was established, and the dataset was improved based on the SMOTE algorithm to construct an early warning model with the improved dataset. The prediction performance of the models was compared and validated. RESULTS: Among the 1 104 patients who underwent surgical treatment for maxillofacial fractures, 27 cases of postoperative internal fixation device infections were identified, corresponding to an infection rate of 2.45% (27/1 104). Age, diabetes history, fracture severity, and oral hygiene status were all identified as risk factors for postoperative internal fixation device infections in maxillofacial fractures (all P<0.05). The prediction model based on the original data (P1). The prediction model based on the SMOTE algorithm (P2). Receiver operating characteristic (ROC) curve analysis shows that the area under curve (AUC) for the P2 model was 0.882, the P1 model was 0.861, indicating the superior predictive performance of the P2 model. The DeLong test results show that the difference in AUC between the two models was statistically significant (P<0.05). CONCLUSIONS Age, diabetes history, postoperative fracture severity, and oral hygiene status are all risk factors for infections associated with internal fixation devices after maxillofacial fracture surgery. The proposed early warning model demonstrated good predictive performance. Medical professionals can utilize this model to effectively intervene and anticipate infections related to internal fixation devices after maxillofacial fracture surgery.
Humans ; Algorithms ; Retrospective Studies ; Male ; Female ; Fracture Fixation, Internal/instrumentation* ; Risk Factors ; Middle Aged ; Adult ; Logistic Models ; Surgical Wound Infection/epidemiology* ; Aged ; Internal Fixators/adverse effects* ; Maxillofacial Injuries/surgery* ; Adolescent

Abstract To investigate the effects of exercise on gut microbiota(GM) among children with autism spectrum disorder(ASD)，the review provides an in depth summary of the three core biological pathways through which exercise modulates the GM: repairing the integrity of the intestinal barrier to inhibit lipopolysaccharide mediated neuroinflammation; optimizing key metabolites, such as short chain fatty acids, to reshape gut-brain communication; synergistically regulating the tryptophan-kynurenine metabolic pathway and vagus nerve signaling to balance neurotransmitters. These interconnected pathways not only alleviate gastrointestinal discomfort but also provide a solid biological foundation for improving the core behavioral symptoms of ASD, such as social deficits and repetitive behaviors. Future research should focus on establishing standardized exercise intervention protocols, validating the efficacy of these key biological pathways using multi omics approaches, and exploring combined intervention strategies. The results of corollary studies will provide a more robust scientific basis for precision rehabilitation of children with ASD.

Spine fracture and dislocation are common traumatic spinal conditions that often require surgical intervention due to compromised spinal stability. Surgical approaches include anterior, posterior, and combined anterior-posterior spinal procedures. According to the specific surgical requirements, patients may be placed in the prone position or repositioned between prone and supine positions during surgery. Intraoperative repositioning has become an essential step in patient positioning. However, during repositioning, patients with spinal fracture and dislocation are at increased risk for complications such as hemodynamic instability, nerve injury, and pressure injuries to the skin and soft tissue. Notably, due to the instability of the spinal cord, even minor manipulations can further exacerbate the damage, potentially leading to severe outcomes like paraplegia. Although the current clinical guidelines provide instructive recommendations for standard position, there remains no specific protocols for intraoperative repositioning in patients with spine fracture and dislocation. With a concern for the lack of clinical studies on positioning techniques, risk prevention, and operational norms for special patients, no applicable guidelines or standards are available. A consensus was required to provide clinical reference, meet the requirements of surgical treatment, and minimize the safety risks of patients caused by improper placement of positions. Professional Committee of Operating Room Nursing of Shaanxi Nursing Association organized experts in nursing management and operating room nursing from major hospitals across China to formulate Expert consensus on intraoperative repositioning for patients with spinal fracture and dislocation ( version 2025). The consensus provides 11 recommendations covering pre-repositioning preparation, intraoperative maneuvers, and post-repositioning observation, aiming to provide references for clinical standardization of the intraoperative repositioning process and protection of patients′ safety.

Objective:To analyze the risk factors of Mycoplasma pneumoniae（MP）lobar pneumonia with plastic bronchitis（PB）in pediatric patients，and to establish a risk nomogram prediction model.Methods:The medical informations were collected from pediatric patients diagnosed with MP lobar pneumonia who performed bronchoscopy during hospitalization in the Department of Pediatrics at the Second Affiliated Hospital of Air Force Military Medical University from April 2023 to December 2023.According to the bronchoscopic findings，the patients were divided into PB group and non-PB group.The clinical medical records and ancillary diagnostic findings were retrospectively analyzed.A multivariate Logistic regression model was used to analyze the independent risk factors for children with MP lobar pneumonia complicated with PB.A nomogram model was constructed to predict the risk of PB occurrence. Calibration curves and Hosmer-Lemeshow goodness-of-fit test were used to evaluate the predictive value of the nomogram model for MP lobar pneumonia with PB. The receiver operating characteristic (ROC) curve was used to assess the diagnostic efficacy.Results:A total of 357 pediatric patients diagnosed with MP lobar pneumonia were included，with 92 cases in PB group and 265 cases in non-PB group. No statistically significant differences in gender and age were observed between the two groups（ P>0.05）.The duration of fever and the hospitalization time in PB group were longer than those in non-PB group. The incidences of pleural effusion，consolidation area of a single lung lobe ≥2/3 and atelectasis on chest CT were higher in PB group compared to non-PB group. Additionally,the levels of neutrophil/lymphocyte ratio，C-reactive protein，procalcitonin，D-dimer（D-D），alanine aminotransferase(ALT)，aspartate aminotransferase，lactate dehydrogenase，α-hydroxybutyrate dehydrogenase，interferon-γ（IFN-γ），interleukin（IL）-6，IL-10 and IFN-γ/IL-4 ratio in PB group were higher than those in non-PB group（all P<0.05）.Logistic regression analysis showed elevated D-D, ALT and IFN-γ, pleural effusion and consolidation area of a single lung lobe ≥2/3 were independent risk factors for PB.The nomogram prediction model constructed by the model demonstrated good goodness-of-fit (χ 2=11.316， P=0.184) and provided significant clinical net benefits within a risk threshold range of 0.09–0.65. The area under the ROC curve for combined prediction was 0.771（95% CI 0.716-0.826），with a sensitivity of 0.707 and specificity of 0.706. Conclusion:In children with MP lobar pneumonia, elevated laboratory markers (D-D, ALT, IFN-γ) and imaging features (pleural effusion, consolidation area of a single lung lobe ≥2/3) are critical predictors for early diagnosis of PB.The nomogram prediction model can be used to predict MP lobar pneumonia with PB in early stage.

With the advancements in artificial intelligence (AI), computational power, and surgical robotics, the analysis of surgical performance at the granular level of individual surgical gestures has become feasible. Surgical gestures, defined as the smallest independent units of inter-action between surgical instruments and tissues, offer a quantifiable framework for surgical skill assessment. Evidence suggests that the selection and execution of surgical gestures are strongly correlated with the expertise of the surgeon and patient outcomes, underscoring their significance in both surgical training and clinical practice. Moreover, the establishment of a standardized classifi-cation system for surgical gestures and the adoption of uniform terminology have the potential to improve communication efficiency during surgical education and training. The authors synthesize existing classification systems for surgical gestures, with a focus on their applications in diverse tasks such as suturing, exposure and dissection. By examining the latest advancements in AI models applied to surgical gesture, as well as the current research landscape of surgical gesture recognition in digestive surgery, the authors explore the potential applications of such technologies in assisting surgeons during operations in the future.

With the rapid development of minimally invasive techniques in surgery, arti-ficial intelligence (AI), particularly deep learning, is playing an increasingly important role in mini-mally invasive surgery. By automated analysis of surgical videos, AI can efficiently perform key tasks such as instrument recognition, surgical phase identification, action analysis, anatomical structure recognition, intraoperative diagnosis, adverse event monitoring and smart desmoking. These appli-cations provide essential support for real-time monitoring, surgical navigation and skill assessment during surgery. The authors summarize the current research progress of AI in minimally invasive surgery, including its applications in the fields of hepatobiliary and pancreatic surgery, as well as gastrointestinal surgery. It also explores the potential of AI in enhancing surgical safety, efficiency and skill assessment. By synthesizing the latest research achievements of AI technology in the field of surgery, as well as analyzing its technical challenges and risks, it aims to provide guidance for future innovations and clinical applications, promoting the advancement and implementation of AI in minimally invasive surgery.

Background and purpose:Accurately locating pulmonary nodules is the key to the success of thoracoscopic surgery.This study aimed to investigate the strategy and evaluate the feasibility,safety,and clinical value of thoracoscopic surgical treatment for pulmonary nodules located beneath the interlobar pleura and close to the pulmonary hilum.Methods:The patients who underwent pulmonary nodule surgery at Liaocheng Tumor Hospital from May 2023 to November 2024 were enrolled,and the patients who did not meet the inclusion criteria were excluded.This study was approved by the Ethics Committee of Liaocheng Tumor Hospital(EC-20240112-1020)and informed consent was obtained from the patients.The research was designed as a prospective single-arm study.The patients were treated with wedge resection,which was performed following CT-guided localization,where the location needle was inserted through the interlobar pleura.The feasibility of the procedure was evaluated by analyzing the success rate of preoperative localization and perioperative complications.Results:A total of 28 patients who met the inclusion criteria were included in this study.There were 5 male and 23 female patients with an average age of(56.0±8.5)years(range 38-69 years).In all,28 patients with 28 nodules underwent thoracoscopic wedge resection,and the preoperative CT-guided localization was successfully performed in all patients,without urgent complications.The mean operation time of thoracoscopic surgery was(15.6±4.0)min,intraoperative bleeding was(20.9±14.3)mL,and postoperative drainage was(214.3±62.2)mL.No cases of postoperative air leaks or conversion to thoracotomy were observed.The average length of hospital stay was(5.4±0.9)days.The postoperative histological diagnosis revealed 3 benign lesions(pulmonary fibrosis in 2 cases,atypical adenomatous hyperplasia in 1 case)and 25 malignant lesions(adenocarcinoma in situ in 5 cases,minimally invasive adenocarcinoma in 16 cases,and invasive adenocarcinoma in 4 cases).Conclusion:Thoracoscopic wedge resection following CT-guided nodule localization through the interlobar pleura is a feasible approach for nodules located beneath the interlobar pleura and close to the pulmonary hilum.The method ensures precise tumor localization,adequate margin,and minimal loss of normal lung tissue,with a low incidence of postoperative complication,which has important guiding significance for the surgical treatment of pulmonary nodules in such special locations.

Background and purpose:Accurately locating pulmonary nodules is the key to the success of thoracoscopic surgery.This study aimed to investigate the strategy and evaluate the feasibility,safety,and clinical value of thoracoscopic surgical treatment for pulmonary nodules located beneath the interlobar pleura and close to the pulmonary hilum.Methods:The patients who underwent pulmonary nodule surgery at Liaocheng Tumor Hospital from May 2023 to November 2024 were enrolled,and the patients who did not meet the inclusion criteria were excluded.This study was approved by the Ethics Committee of Liaocheng Tumor Hospital(EC-20240112-1020)and informed consent was obtained from the patients.The research was designed as a prospective single-arm study.The patients were treated with wedge resection,which was performed following CT-guided localization,where the location needle was inserted through the interlobar pleura.The feasibility of the procedure was evaluated by analyzing the success rate of preoperative localization and perioperative complications.Results:A total of 28 patients who met the inclusion criteria were included in this study.There were 5 male and 23 female patients with an average age of(56.0±8.5)years(range 38-69 years).In all,28 patients with 28 nodules underwent thoracoscopic wedge resection,and the preoperative CT-guided localization was successfully performed in all patients,without urgent complications.The mean operation time of thoracoscopic surgery was(15.6±4.0)min,intraoperative bleeding was(20.9±14.3)mL,and postoperative drainage was(214.3±62.2)mL.No cases of postoperative air leaks or conversion to thoracotomy were observed.The average length of hospital stay was(5.4±0.9)days.The postoperative histological diagnosis revealed 3 benign lesions(pulmonary fibrosis in 2 cases,atypical adenomatous hyperplasia in 1 case)and 25 malignant lesions(adenocarcinoma in situ in 5 cases,minimally invasive adenocarcinoma in 16 cases,and invasive adenocarcinoma in 4 cases).Conclusion:Thoracoscopic wedge resection following CT-guided nodule localization through the interlobar pleura is a feasible approach for nodules located beneath the interlobar pleura and close to the pulmonary hilum.The method ensures precise tumor localization,adequate margin,and minimal loss of normal lung tissue,with a low incidence of postoperative complication,which has important guiding significance for the surgical treatment of pulmonary nodules in such special locations.

Objective:To analyze the risk factors of Mycoplasma pneumoniae（MP）lobar pneumonia with plastic bronchitis（PB）in pediatric patients，and to establish a risk nomogram prediction model.Methods:The medical informations were collected from pediatric patients diagnosed with MP lobar pneumonia who performed bronchoscopy during hospitalization in the Department of Pediatrics at the Second Affiliated Hospital of Air Force Military Medical University from April 2023 to December 2023.According to the bronchoscopic findings，the patients were divided into PB group and non-PB group.The clinical medical records and ancillary diagnostic findings were retrospectively analyzed.A multivariate Logistic regression model was used to analyze the independent risk factors for children with MP lobar pneumonia complicated with PB.A nomogram model was constructed to predict the risk of PB occurrence. Calibration curves and Hosmer-Lemeshow goodness-of-fit test were used to evaluate the predictive value of the nomogram model for MP lobar pneumonia with PB. The receiver operating characteristic (ROC) curve was used to assess the diagnostic efficacy.Results:A total of 357 pediatric patients diagnosed with MP lobar pneumonia were included，with 92 cases in PB group and 265 cases in non-PB group. No statistically significant differences in gender and age were observed between the two groups（ P>0.05）.The duration of fever and the hospitalization time in PB group were longer than those in non-PB group. The incidences of pleural effusion，consolidation area of a single lung lobe ≥2/3 and atelectasis on chest CT were higher in PB group compared to non-PB group. Additionally,the levels of neutrophil/lymphocyte ratio，C-reactive protein，procalcitonin，D-dimer（D-D），alanine aminotransferase(ALT)，aspartate aminotransferase，lactate dehydrogenase，α-hydroxybutyrate dehydrogenase，interferon-γ（IFN-γ），interleukin（IL）-6，IL-10 and IFN-γ/IL-4 ratio in PB group were higher than those in non-PB group（all P<0.05）.Logistic regression analysis showed elevated D-D, ALT and IFN-γ, pleural effusion and consolidation area of a single lung lobe ≥2/3 were independent risk factors for PB.The nomogram prediction model constructed by the model demonstrated good goodness-of-fit (χ 2=11.316， P=0.184) and provided significant clinical net benefits within a risk threshold range of 0.09–0.65. The area under the ROC curve for combined prediction was 0.771（95% CI 0.716-0.826），with a sensitivity of 0.707 and specificity of 0.706. Conclusion:In children with MP lobar pneumonia, elevated laboratory markers (D-D, ALT, IFN-γ) and imaging features (pleural effusion, consolidation area of a single lung lobe ≥2/3) are critical predictors for early diagnosis of PB.The nomogram prediction model can be used to predict MP lobar pneumonia with PB in early stage.

With the advancements in artificial intelligence (AI), computational power, and surgical robotics, the analysis of surgical performance at the granular level of individual surgical gestures has become feasible. Surgical gestures, defined as the smallest independent units of inter-action between surgical instruments and tissues, offer a quantifiable framework for surgical skill assessment. Evidence suggests that the selection and execution of surgical gestures are strongly correlated with the expertise of the surgeon and patient outcomes, underscoring their significance in both surgical training and clinical practice. Moreover, the establishment of a standardized classifi-cation system for surgical gestures and the adoption of uniform terminology have the potential to improve communication efficiency during surgical education and training. The authors synthesize existing classification systems for surgical gestures, with a focus on their applications in diverse tasks such as suturing, exposure and dissection. By examining the latest advancements in AI models applied to surgical gesture, as well as the current research landscape of surgical gesture recognition in digestive surgery, the authors explore the potential applications of such technologies in assisting surgeons during operations in the future.