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 evaluate the recognition capability of AI-enabled Cellsee CS-BM1 automatic cell morphology analyzer for pe-ripheral blood smears and its roles in assisting manual classification,and explore the application value of AI system in the diagnosis network of tiered primary medical units.Methods The blood samples which triggered the re-examination rules were collected from six primary medical units,including the Laboratory Department of Shanghai Jiahui International Hospital,and so on,from March to No-vember 2023.The smears of peripheral blood were prepared and AI analyzer was used for pre-classification to evaluate its recognition performance in identifying the samples with abnormal WBC and RBC.The sensitivity,specificity,and accuracy of WBC classification by six junior and intermediate technicians,both with and without AI assistance,were analyzed.Additionally,the roles of the AI system in tiered diagnosis of primary medical units were also evaluated.Results The sensitivity,specificity,and accuracy of AI system in recognizing malignant primitive cells were 92.86％,95.16％,and 95.10％,respectively.The sensitivities of AI system in recognizing immature granulocytes,reactive lymphocytes,and nucleated RBCs were all greater than 90％.The sensitivity of AI system in identif-ying abnormal morphology of RBCs reached 99.59％,along with rapid quantitative analysis for various anomalous types of RBCs.In AI-assisted mode,the sensitivity of recognition for all cell types was improved to varying degrees by junior and intermediate technicians,and the sensitivity for recognizing malignant primitive cells,reactive lymphocytes,and immature granulocytes increased to 58.24％,53.39％,and 62.37％for junior technicians,and to 92.06％,83.24％,and 83.12％for intermediate technicians,respectively.The improvements for junior technicians were particularly significant,with increases of 12.46％,10.61％,and 3.71％for each cell type,respectively.Both groups achieved higher specificity and accuracy.Through AI pre-classification and manual review,a variety of pe-ripheral blood cell-related diseases were accurately diagnosed in the tiered healthcare practice of primary medical units,including 339 cases(11.13％)of red blood cell diseases,5 cases(0.16％)of platelet diseases,2 343 cases(76.90％)of infection-related disea-ses,and 28 cases(0.92％)of malignant hematological diseases.In addition,332 cases(10.90％)which lacked an obvious related cause or required further examinations were identified as well.Conclusion AI pre-classification has demonstrated strong cell recogni-tion capabilities and may assist technicians in improving the sensitivity,specificity,and accuracy of blood cell classification.AI could en-hance the disease-screening capabilities in the tiered diagnosis network of primary medical units,presenting a broad application prospect.

Objective To evaluate the recognition capability of AI-enabled Cellsee CS-BM1 automatic cell morphology analyzer for pe-ripheral blood smears and its roles in assisting manual classification,and explore the application value of AI system in the diagnosis network of tiered primary medical units.Methods The blood samples which triggered the re-examination rules were collected from six primary medical units,including the Laboratory Department of Shanghai Jiahui International Hospital,and so on,from March to No-vember 2023.The smears of peripheral blood were prepared and AI analyzer was used for pre-classification to evaluate its recognition performance in identifying the samples with abnormal WBC and RBC.The sensitivity,specificity,and accuracy of WBC classification by six junior and intermediate technicians,both with and without AI assistance,were analyzed.Additionally,the roles of the AI system in tiered diagnosis of primary medical units were also evaluated.Results The sensitivity,specificity,and accuracy of AI system in recognizing malignant primitive cells were 92.86％,95.16％,and 95.10％,respectively.The sensitivities of AI system in recognizing immature granulocytes,reactive lymphocytes,and nucleated RBCs were all greater than 90％.The sensitivity of AI system in identif-ying abnormal morphology of RBCs reached 99.59％,along with rapid quantitative analysis for various anomalous types of RBCs.In AI-assisted mode,the sensitivity of recognition for all cell types was improved to varying degrees by junior and intermediate technicians,and the sensitivity for recognizing malignant primitive cells,reactive lymphocytes,and immature granulocytes increased to 58.24％,53.39％,and 62.37％for junior technicians,and to 92.06％,83.24％,and 83.12％for intermediate technicians,respectively.The improvements for junior technicians were particularly significant,with increases of 12.46％,10.61％,and 3.71％for each cell type,respectively.Both groups achieved higher specificity and accuracy.Through AI pre-classification and manual review,a variety of pe-ripheral blood cell-related diseases were accurately diagnosed in the tiered healthcare practice of primary medical units,including 339 cases(11.13％)of red blood cell diseases,5 cases(0.16％)of platelet diseases,2 343 cases(76.90％)of infection-related disea-ses,and 28 cases(0.92％)of malignant hematological diseases.In addition,332 cases(10.90％)which lacked an obvious related cause or required further examinations were identified as well.Conclusion AI pre-classification has demonstrated strong cell recogni-tion capabilities and may assist technicians in improving the sensitivity,specificity,and accuracy of blood cell classification.AI could en-hance the disease-screening capabilities in the tiered diagnosis network of primary medical units,presenting a broad application prospect.

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 the clinical application and triage management value of using blood circulating cell-free DNA (cfDNA) (cysteine dioxygenase type 1 gene, CDO1, and Homeobox protein A9 gene, HOXA9) hypermethylation level to detect and diagnose ovarian cancer.Methods:A case-control study was conducted on patients who went for surgery at Chengdu Womens and Childrens Central Hospital from November 2022 to October 2023. Blood samples were collected before surgery for evaluation of cancer antigen 125 (CA125), human epididymis protein 4 (HE4), risk of ovarian malignancy algorithm (ROMA) score, and DNA methylation testing. The basic clinical information, biomarkers, and transvaginal ultrasound (TVS) information were collected simultaneously. Information from a total of 151 patients was collected, including 122 cases with benign pathology and 29 ovarian cancer cases. The pathologic diagnosis of ovarian tissue was defined as the gold standard. The multivariate logistic regression analysis was used to identify high-risk factors for ovarian cancer. The clinical efficacy of DNA methylation detection for ovarian cancer was analyzed using the area under curve (AUC).Results:The results showed that the age, menopausal status, CA125 and HE4 detection, ROMA score, positivity rate of CDO1 gene and HOXA9 gene single or combined testing in ovarian cancer patients were higher than those in the benign group and showed significant differences ( P<0.05). Among these detection protocols, the AUC of CDO1 and HOXA9 dual gene methylation testing for ovarian cancer was the highest at 0.936 (95% CI, 0.878-0.994), with 89.7% (95% CI 73.6%-96.4%) sensitivity and 97.5% (95% CI 93.0%-99.2%) specificity, respectively. The positive detection rate of CDO1 and HOXA9 dual gene methylation in early ovarian cancer FOGO I-II stage is 12/14 higher than other tests. Conclusion:Blood cfDNA methylation detection, a simple, non-invasive, and highly sensitive detection method, is superior to the current ovarian cancer testing in the risk assessment and early detection.

Objective To evaluate the feasibility,reliability and validity of the symptom identification scale for kidney yang deficiency syndrome.Methods The symptom identification scale for kidney yang deficiency syndrome developed in previous research was administered to 200 vascular cognitive impairment patients from September 2020 to September 2022 to assess feasibility through recall rate,completion rate,and completion time;reliability was measured using retest reliability,split-half reliability,homogeneity reliability,and inter-rater reliability;and validity was evaluated based on discriminant and structural validity.Results A total of 200 scales were sent out,and all of them cooperated and were completed and retrieved within 20 min.The results of reliability analysis showed that the retest reliability of the scale was 0.828 for the dimension of yang deficiency and 0.718 for the dimension of kidney qi deficiency;the Spearman-Brown coefficient of split-half reliability was 0.784;the Cronbach coefficient of the dimension of yang deficiency was 0.799,and the Cronbach coefficient of the dimension of kidney qi deficiency in the homogeneity reliability was 0.670.The results of the analysis showed that the differences between the kidney yang deficiency syndrome group and the non-kidney yang deficiency syndrome group in the yang deficiency dimension,kidney qi deficiency dimension scores and total scale scores in the discriminant validity were statistically significant(P<0.001);the KMO value in the structural validity was 0.842,and a total of two factors with eigenvalues greater than 1 were extracted,with a cumulative variance contribution rate of 58.227%.Conclusion The symptom identification scale for kidney yang deficiency syndrome demonstrates adequate reliability and validity,potentially enhancing the prediction of kidney yang deficiency in vascular cognitive impairment.However,the validity of the scale is somewhat limited and requires further refinement for clinical application.

Perfluoroalkyl and polyfluoroalkyl substances (PFASs), as a group of persistent organic pollutants among environmental endocrine disruptors, are widely used in industrial production and daily life. PFASs are widely and persistently present in the environment and organisms due to their bioaccumulation, long half-life, and low degradability properties. Published studies have proved that PFASs have immunotoxicity, endocrine toxicity, neurotoxicity, reproductive toxicity, and hepatotoxicity. At present, several epidemiological studies have been conducted on the effects of PFASs on allergic diseases, the research endpoints include asthma, allergic rhinitis, atopic dermatitis, and the expression of allergic biomarkers such as serum immunoglobulin E (IgE), but no consistent results have been observed yet. PFASs have the potential to activate several signaling pathways, including the peroxisome proliferator-activated receptor (PPAR), nuclear factor-κB (NF-κB), and JAK/STAT pathways. These mechanisms, along with increasing mast cell calcium influx and sex hormone synergistic effects, may contribute to immunomodulation in allergic diseases. At present, the exact human effect of PFASs exposure on allergic diseases and the related mechanisms are still uncertain. This review focused on the impacts of PFASs on asthma, allergic rhinitis, and atopic dermatitis and their possible mechanisms, so as to provide research ideas for the prevention, diagnosis, and treatment of allergic diseases.

OBJECTIVE To clarify whether the thera-peutic effect of escitalopram on depression patients is cor-related with traditional Chinese medicine syndrome types,and to provide a basis for more accurate drug applica-tion.METHODS A total of 235 depression patients were recruited and classified according to traditional Chinese medicine syndrome differentiation into 5 types:liver and qi stagnation(45),liver stagnation and fire transformation(43),liver qi stagnation and spleen deficiency(79),heart and spleen deficiency(20),and liver and kidney deficiency(38).All patients were treated with escitalopram(10 mg·d-1)for eight weeks.The Montgomery Depression Rating Scale(MADRS)and the 17 Hamilton Depression Rating Scale(HAMD-17)were used to score before treatment and 2,4,and 8 weeks after treatment,respectively.RESULTS Compared with before treatment,the MADRS and HAMD-17 scores and remission rates of each syn-drome type significantly improved with increasing medica-tion duration.The MADRS score relief rate of liver and kidney deficiency type was the most significant(69.3%),significantly higher than the other four syndrome types(47.5%-52.6%,P<0.05);The remission rate of HAMD-17 score was significantly higher than that of heart and spleen deficiency(50.7%vs.28.5%,P＜0.05).The remis-sion rate of HAMD-17 score in liver and qi stagnation type(52.2%)was significantly higher than that in liver stagnation and spleen deficiency type(37.0%,P＜0.01)and heart spleen deficiency type(28.5%,P＜0.05).CON-CLUSION Escitalopram may have a more significant therapeutic effect on patients with liver and kidney defi-ciency and liver stagnation depression.This study pro-vides a new approach for the more effective and accu-rate application of traditional Chinese medicine syndrome differentiation in the selection of clinical antidepressants.