Objective:To explore potential risk factors for central lymph node metastasis (CLNM) in papillary thyroid microcarcinoma (PTMC).Methods:The clinicopathological data of 304 PTMC patients admitted to Baotou Cancer Hospital from Oct 2021 to Mar 2023 were retrospectively analyzed. The risk factors of CLNM were analyzed using unifactorial and multifactorial regression.Results:The rate of central regional lymph node metastasis in 304 patients with PTMC was 46.7% (142/304). Univariate analysis showed that male, age <45 years, maximum cancerous lesion diameter ≥5 mm, total cancerous lesion diameter ≥9.5 mm, anterior-posterior lesion diameter ≥5 mm, anterior-posterior lesion diameter ratio of cancerous lesions ≥0.48, breaching of thyroid capsule, number of lymph nodes on the side of cancerous lesions ≥5, and antithyroid peroxidase antibody ≤34 IU/ml were associated with CLNM (all P<0.05); Logistic multivariate regression analysis showed that. male, age <45 years, total diameter of cancer foci ≥9.5 mm ( OR=2.052, 95% CI: 1.176-3.581, P=0.011), anteroposterior diameter ratio of cancer foci ≥0.48 ( OR=2.076, 95% CI: 1.161-3.711, P=0.014), number of lymph nodes on the side of cancer foci ≥5, and anti-thyroid peroxidase antibody ≤34 IU/ml were independent risk factors for CLNM. Conclusion:Male, age ,total diameter of cancer foci, anterior-posterior diameter ratio of cancer foci, number of lymph nodes on the side of cancer foci, and anti-thyroid peroxidase antibody level are all independent risk factors for CLNM in patients with PTMC.

Objective:To construct a predictive model for mortality in patients with multiple trauma combined with thoracic injuries and evaluate its predictive value.Methods:A retrospective cohort study was conducted to analyze the clinical data of 184 patients with multiple trauma combined with thoracic injuries admitted to the International Zhuang Medicine Hospital Affiliated to Guangxi University of Chinese Medicine from April 2019 to December 2023, including 129 males and 55 females, aged 19-85 years [(46.1±13.7)years]. According to the prognostic outcomes at 3-month follow-up after discharge, the patients were divided into survival group ( n=145) and death group ( n=39). Data were recorded in both groups at admission, including gender, age, and cause of injury, laboratory tests such as systolic blood pressure, oxygen saturation (SaO 2), hemoglobin (Hb), neutrophil-to-lymphocyte ratio (NLR), and lactate, combined injuries such as the number of combined injuries, number of rib fracture, bilateral rib fracture, first-rib fracture, sternum fracture, thoracic vertebral fracture, bilateral pulmonary contusion, bilateral pneumothorax, subarachnoid hemorrhage, subdural hematoma, epidural hematoma, skull fracture, skull base fracture, cervical vertebral fracture, brain herniation, cerebral contusion, lumbar vertebral fracture, pelvic and abdominal cavity hematoma, liver injury, kidney injury, spleen injury, clavicle fracture, scapular fracture, femoral fracture, and pelvic fracture, and injury scores such as shock index (SI), modified shock index (MSI), injury severity score (ISS), revised trauma score (RTS), Glasgow coma score (GCS), and thoracic trauma severity (TTS) score. Univariate binary logistic regression analysis was used to screen for risk factors of death in patients with multiple trauma combined with thoracic injuries. LASSO regression and multivariate logistic regression analysis were employed to identify predictive variables and independent risk factors for mortality in those patients and to construct a regression equation. A nomogram prediction model based on the regression equation was developed using R language. Receiver operating characteristic (ROC) curves were plotted to evaluate the discrimination of the model. The ROC curves were internally validated using the Bootstrap method with 1 000 resamples. The calibration of the model was assessed using the Hosmer-Lemeshow (H-L) goodness-of-fit test. The clinical application value of the model was evaluated using decision curve analysis (DCA) and clinical impact curve (CIC) analysis. Results:There were statistically significant differences between the survival group and the death group in systolic blood pressure, SaO 2, NLR, lactate, number of combined injuries, subarachnoid hemorrhage, subdural hematoma, skull fracture, skull base fracture, brain herniation, liver injury, SI, MSI, ISS, RTS, GCS, and TTS ( P<0.05 or 0.01). The results of the univariate binary logistic regression analysis showed that the above-mentioned related variables except for systolic blood pressure were all significantly associated with death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Five predictive variables, TTS, GCS, brain herniation, ISS, and lactate were obtained in LASSO regression analysis. The results of the multivariate logistic regression analysis showed that GCS ( OR=0.70, 95% CI 0.58, 0.83), brain herniation ( OR=46.18, 95% CI 4.27, 499.26), TTS ( OR=1.71, 95% CI 1.30, 2.24), and lactate ( OR=1.35, 95% CI 1.01, 1.80) were independent risk factors for death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Based on the aforementioned independent risk factors, a regression formula was constructed as follows: P=e x/(1+e x), with the x=-0.36×"GCS"+3.83×"brain herniation"+0.53×"TTS"+0.30×"lactate levels"-11.03. The area under the ROC curve (AUC) of the predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on the equation was 0.97 (95% CI 0.93, 1.00). The AUC was internally validated using the Bootstrap method with 1 000 samples, resulting in an AUC of 0.97 (95% CI 0.91, 1.00). The results of the H-L goodness-of-fit test showed that the bias-corrected calibration curve of the model was in good consistence with the actual curve and both of them were close to the ideal curve. In the evaluation of the clinical application value of the predictive model, the DCA results showed that the predictive model could achieve good clinical net benefit. The CIC results showed that when the threshold probability was greater than 0.7, the model-identified high-risk patients for death highly matched the patients who actually died. Conclusion:The predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on GCS, brain herniation, TTS, and lactate has good predictive performance and clinical application value.

Nonunion of osteoporotic vertebral fractures (OVF), predominantly affecting the elderly, can lead to intractable pain, vertebral collapse, progressive kyphotic deformity, and neurological impairment, significantly compromising patients′ quality of life. There exists considerable debate on diagnosis and management of OVF, encompassing key issues such as clinical diagnosis and staging criteria for nonunion, surgical indications and procedure selection, and postoperative rehabilitation planning. Currently, there lacks standardized clinical guideline and expert consensus on the diagnosis and management of OVF nonunion in China. To address this gap, Minimally Invasive Surgery Group of Chinese Orthopedic Association, Osteoporosis Committee of Chinese Association of Orthopedic Surgeons, Prevention and Rehabilitation Committee for Osteoporosis of Chinese Association of Rehabilitation Medicine and Minimally Invasive Orthopedic Surgery Branch of China Association for Geriatric Care jointly organized domestic experts in spinal surgery, endocrinology, and rehabilitation to formulate the Clinical guideline for the diagnosis and treatment for nonunion of osteoporotic vertebral fractures ( version 2025), based on existing literature and clinical experience and adhering to principles of scientific rigor and practicality. The guideline provided 13 evidence-based recommendations encompassing diagnosis and treatment of OVF nonunion, aiming to standardize its clinical management.

For middle-aged and elderly patients with conditions such as spinal fractures and degenerative spinal diseases, spinal internal fixation is a core surgical procedure for reconstructing spinal stability, heavily relying on the biomechanical stability provided by pedicle screw systems. Whereas, these patients are often complicated by osteoporosis that can significantly compromise the stability of the bone-pedicle screw interface, leading to a marked increase in pedicle screw loosening and surgical failure rates. The bone cement-augmented pedicle screw technique, which involves injecting bone cement into the vertebral body or screw trajectory to optimize the mechanical properties of the bone-pedicle screw composite, has been proven to significantly enhance fixation strength and effectively prevent screw-related failures, thereby reducing the incidence of internal fixation failure in high-risk populations undergoing spinal fusion. However, the widespread clinical application of this technique has faced challenges such as inaccurate clinical decision-making (indication and contraindication selection), non-standardized operative practices, and insufficient awareness of complication prevention, resulting in considerable variability in clinical outcomes and even severe complications. To address this, Prof. Luo Fei from First Affiliated Hospital of Army Medical University initiated the project and the Chinese Association Orthopaedic Surgeons organized relevant experts to develop the Evidence-based clinical practice guideline for bone cement-augmented pedicle screw technique ( version 2025), based on current evidence. The guidelines put forward 8 recommendations regarding the clinical value, scope of application, and operational standards of the technique, aiming to provide evidence-based medical support and technical standardization for clinical decision-making.

This article aims to initially establish a traditional Chinese medicine(TCM)syndrome scale for pediatric bronchial asthma based on syndrome element differentiation through literature research and expert consultation and by referencing multiple editions of textbooks,clinical guidelines,and expert consensus.The TCM syndrome scale for pediatric bronchial asthma covers 17 relevant syndrome elements,namely lung,exterior,kidney,spleen,heart,phlegm,cold,yin deficiency,yang deficiency,fluid retention,qi deficiency,wind,heat,qi stagnation,blood stasis,qi failing in astringing,and blood deficiency.It corresponds to 5 major TCM syndrome items(i.e.,wheezing or shortness of breath,cough,chest tightness,wheezing sound in the throat or sputum expectation,and lung signs),over 30 secondary TCM syndrome items,and items related to TCM tongue signs,pulse signs,infantile finger signs(conditions of radial superficial vein of infantile index finger),and facial complexion.The Cronbach's alpha coefficients for the total scale and all syndrome element dimensions were greater than 0.7,indicating good structural validity.The process of establishing this scale,i.e,setting syndrome items,determining syndrome elements,and forming a scale,is consistent with the process of syndrome element differentiation(analyzing the syndromes,defining syndrome elements,forming a syndrome pattern).The establishment of the scale has taken into consideration of both the characteristics of pediatric bronchial asthma and the features of syndrome element differentiation,harnessing the advantage of the disease-syndrome combination pattern.The constructed scale holds certain reference significance for clinical practice in TCM pediatrics.

Objective:To construct a predictive model for mortality in patients with multiple trauma combined with thoracic injuries and evaluate its predictive value.Methods:A retrospective cohort study was conducted to analyze the clinical data of 184 patients with multiple trauma combined with thoracic injuries admitted to the International Zhuang Medicine Hospital Affiliated to Guangxi University of Chinese Medicine from April 2019 to December 2023, including 129 males and 55 females, aged 19-85 years [(46.1±13.7)years]. According to the prognostic outcomes at 3-month follow-up after discharge, the patients were divided into survival group ( n=145) and death group ( n=39). Data were recorded in both groups at admission, including gender, age, and cause of injury, laboratory tests such as systolic blood pressure, oxygen saturation (SaO 2), hemoglobin (Hb), neutrophil-to-lymphocyte ratio (NLR), and lactate, combined injuries such as the number of combined injuries, number of rib fracture, bilateral rib fracture, first-rib fracture, sternum fracture, thoracic vertebral fracture, bilateral pulmonary contusion, bilateral pneumothorax, subarachnoid hemorrhage, subdural hematoma, epidural hematoma, skull fracture, skull base fracture, cervical vertebral fracture, brain herniation, cerebral contusion, lumbar vertebral fracture, pelvic and abdominal cavity hematoma, liver injury, kidney injury, spleen injury, clavicle fracture, scapular fracture, femoral fracture, and pelvic fracture, and injury scores such as shock index (SI), modified shock index (MSI), injury severity score (ISS), revised trauma score (RTS), Glasgow coma score (GCS), and thoracic trauma severity (TTS) score. Univariate binary logistic regression analysis was used to screen for risk factors of death in patients with multiple trauma combined with thoracic injuries. LASSO regression and multivariate logistic regression analysis were employed to identify predictive variables and independent risk factors for mortality in those patients and to construct a regression equation. A nomogram prediction model based on the regression equation was developed using R language. Receiver operating characteristic (ROC) curves were plotted to evaluate the discrimination of the model. The ROC curves were internally validated using the Bootstrap method with 1 000 resamples. The calibration of the model was assessed using the Hosmer-Lemeshow (H-L) goodness-of-fit test. The clinical application value of the model was evaluated using decision curve analysis (DCA) and clinical impact curve (CIC) analysis. Results:There were statistically significant differences between the survival group and the death group in systolic blood pressure, SaO 2, NLR, lactate, number of combined injuries, subarachnoid hemorrhage, subdural hematoma, skull fracture, skull base fracture, brain herniation, liver injury, SI, MSI, ISS, RTS, GCS, and TTS ( P<0.05 or 0.01). The results of the univariate binary logistic regression analysis showed that the above-mentioned related variables except for systolic blood pressure were all significantly associated with death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Five predictive variables, TTS, GCS, brain herniation, ISS, and lactate were obtained in LASSO regression analysis. The results of the multivariate logistic regression analysis showed that GCS ( OR=0.70, 95% CI 0.58, 0.83), brain herniation ( OR=46.18, 95% CI 4.27, 499.26), TTS ( OR=1.71, 95% CI 1.30, 2.24), and lactate ( OR=1.35, 95% CI 1.01, 1.80) were independent risk factors for death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Based on the aforementioned independent risk factors, a regression formula was constructed as follows: P=e x/(1+e x), with the x=-0.36×"GCS"+3.83×"brain herniation"+0.53×"TTS"+0.30×"lactate levels"-11.03. The area under the ROC curve (AUC) of the predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on the equation was 0.97 (95% CI 0.93, 1.00). The AUC was internally validated using the Bootstrap method with 1 000 samples, resulting in an AUC of 0.97 (95% CI 0.91, 1.00). The results of the H-L goodness-of-fit test showed that the bias-corrected calibration curve of the model was in good consistence with the actual curve and both of them were close to the ideal curve. In the evaluation of the clinical application value of the predictive model, the DCA results showed that the predictive model could achieve good clinical net benefit. The CIC results showed that when the threshold probability was greater than 0.7, the model-identified high-risk patients for death highly matched the patients who actually died. Conclusion:The predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on GCS, brain herniation, TTS, and lactate has good predictive performance and clinical application value.

Nonunion of osteoporotic vertebral fractures (OVF), predominantly affecting the elderly, can lead to intractable pain, vertebral collapse, progressive kyphotic deformity, and neurological impairment, significantly compromising patients′ quality of life. There exists considerable debate on diagnosis and management of OVF, encompassing key issues such as clinical diagnosis and staging criteria for nonunion, surgical indications and procedure selection, and postoperative rehabilitation planning. Currently, there lacks standardized clinical guideline and expert consensus on the diagnosis and management of OVF nonunion in China. To address this gap, Minimally Invasive Surgery Group of Chinese Orthopedic Association, Osteoporosis Committee of Chinese Association of Orthopedic Surgeons, Prevention and Rehabilitation Committee for Osteoporosis of Chinese Association of Rehabilitation Medicine and Minimally Invasive Orthopedic Surgery Branch of China Association for Geriatric Care jointly organized domestic experts in spinal surgery, endocrinology, and rehabilitation to formulate the Clinical guideline for the diagnosis and treatment for nonunion of osteoporotic vertebral fractures ( version 2025), based on existing literature and clinical experience and adhering to principles of scientific rigor and practicality. The guideline provided 13 evidence-based recommendations encompassing diagnosis and treatment of OVF nonunion, aiming to standardize its clinical management.

For middle-aged and elderly patients with conditions such as spinal fractures and degenerative spinal diseases, spinal internal fixation is a core surgical procedure for reconstructing spinal stability, heavily relying on the biomechanical stability provided by pedicle screw systems. Whereas, these patients are often complicated by osteoporosis that can significantly compromise the stability of the bone-pedicle screw interface, leading to a marked increase in pedicle screw loosening and surgical failure rates. The bone cement-augmented pedicle screw technique, which involves injecting bone cement into the vertebral body or screw trajectory to optimize the mechanical properties of the bone-pedicle screw composite, has been proven to significantly enhance fixation strength and effectively prevent screw-related failures, thereby reducing the incidence of internal fixation failure in high-risk populations undergoing spinal fusion. However, the widespread clinical application of this technique has faced challenges such as inaccurate clinical decision-making (indication and contraindication selection), non-standardized operative practices, and insufficient awareness of complication prevention, resulting in considerable variability in clinical outcomes and even severe complications. To address this, Prof. Luo Fei from First Affiliated Hospital of Army Medical University initiated the project and the Chinese Association Orthopaedic Surgeons organized relevant experts to develop the Evidence-based clinical practice guideline for bone cement-augmented pedicle screw technique ( version 2025), based on current evidence. The guidelines put forward 8 recommendations regarding the clinical value, scope of application, and operational standards of the technique, aiming to provide evidence-based medical support and technical standardization for clinical decision-making.

Objective:To explore potential risk factors for central lymph node metastasis (CLNM) in papillary thyroid microcarcinoma (PTMC).Methods:The clinicopathological data of 304 PTMC patients admitted to Baotou Cancer Hospital from Oct 2021 to Mar 2023 were retrospectively analyzed. The risk factors of CLNM were analyzed using unifactorial and multifactorial regression.Results:The rate of central regional lymph node metastasis in 304 patients with PTMC was 46.7% (142/304). Univariate analysis showed that male, age <45 years, maximum cancerous lesion diameter ≥5 mm, total cancerous lesion diameter ≥9.5 mm, anterior-posterior lesion diameter ≥5 mm, anterior-posterior lesion diameter ratio of cancerous lesions ≥0.48, breaching of thyroid capsule, number of lymph nodes on the side of cancerous lesions ≥5, and antithyroid peroxidase antibody ≤34 IU/ml were associated with CLNM (all P<0.05); Logistic multivariate regression analysis showed that. male, age <45 years, total diameter of cancer foci ≥9.5 mm ( OR=2.052, 95% CI: 1.176-3.581, P=0.011), anteroposterior diameter ratio of cancer foci ≥0.48 ( OR=2.076, 95% CI: 1.161-3.711, P=0.014), number of lymph nodes on the side of cancer foci ≥5, and anti-thyroid peroxidase antibody ≤34 IU/ml were independent risk factors for CLNM. Conclusion:Male, age ,total diameter of cancer foci, anterior-posterior diameter ratio of cancer foci, number of lymph nodes on the side of cancer foci, and anti-thyroid peroxidase antibody level are all independent risk factors for CLNM in patients with PTMC.

Objective:To explore the effect and safety of local spraying tranexamic acid after thyroidectomy.Methods:Randomized double-blind placebo-controlled study method was used. Sixty-four patients underwent scheduled thyroidectomy from December 2022 to August 2023 in Baotou Cancer Hospital were selected. The patients were divided into tranexamic acid group and control group by random digits table method with 32 cases each. Before closing the wound during surgery, 16 ml of tranexamic acid injection with concentration of 25 mg/ml was used to wash the wound and 1 ml of tranexamic acid injection (tranexamic acid 100 mg) used to locally spray in tranexamic acid group; 16 ml of the sterile water for injection was used to wash the wound and 1 ml of sterile water for injection was used locally spray in control group, and then the drainage tube was clipped for 20 min. The neck drainage volume on the first to fourth day after surgery and complication were recorded; the C-reactive protein level before and after surgery was detected.Results:Two patients in each group withdrew from the study midway. The drainage volume on the first, second and third day and total drainage volume in tranexamic acid group were significantly lower than those in control group: (29.10 ± 8.04) ml vs. (38.50 ± 8.67) ml, (18.00 ± 7.33) ml vs. (27.20 ± 10.66) ml, (10.70 ± 5.75) ml vs. (14.60 ± 6.83) ml and (69.20 ± 24.48) ml vs. (96.70 ± 31.90) ml, and there was statistical difference ( P<0.01); there was no statistical difference in the drainage volume on the fourth day after surgery between two groups ( P>0.05). There was no statistical difference in C-reactive protein before and after surgery between two groups ( P>0.05). There was 1 case of fever (body temperature 37.5 ℃) in the control group, and there were no complications such as intermuscular thrombosis, venous thrombosis, incision infection and delayed wound healing in both groups. Conclusions:Local application of tranexamic acid after thyroidectomy can reduce postoperative drainage volume and does not increase the risk of thrombosis, infection and delayed healing.