With the rapid development of computer vision technology, deep learning models have demonstrated new research area and potential value in intelligent microbiological detection. By utilizing multilayer neural networks and large amounts of training data, these models are capable of automated extraction and analysis for complex features, thereby improving the efficiency and accuracy of detection. This paper introduces the research background of deep learning in microbiological image detection, and elaborates on the methods for constructing microbiological image datasets, including data collection, preprocessing, annotation, and partitioning, and introduces typical deep learning models as well as their application examples in various microbiological detection. Deep learning in microbiological image analysis faces numerous challenges which needs further development.

Vertebral refracture following percutaneous vertebral augmentation (PVA) is commonly seen in elderly patients with osteoporotic thoracolumbar compression fractures (OTLCF). It can lead to recurrent pain, loss of vertebral height, progression of kyphosis, and even neurological dysfunction, significantly impairing patients′ quality of life. Current diagnosis and treatment face multiple challenges, including high misdiagnosis rate, difficulty in choosing between surgical and non-surgical treatment options, lack of standardized surgical protocols, interference from intralesional bone cement during procedures, inadequate stability of internal fixation in osteoporotic bone, and suboptimal compliance of anti-osteoporotic therapy. Establishing a standardized diagnostic and therapeutic framework is urgently needed. To standardize the management process and improve outcomes for vertebral refractures after PVA in elderly OTLCF patients, Spinal Trauma Group of the Orthopedic Branch of Chinese Medical Doctor Association organized experts in the field to develop Guideline for the diagnosis and treatment of vertebral refracture after percutaneous vertebral augmentation in elderly patients with osteoporotic thoracolumbar compression fractures ( version 2025), based on current literature and clinical experience, and adhering to principles of scientific rigor and clinical applicability. A total of 11 recommendations were proposed, encompassing diagnosis, treatment, and rehabilitation of vertebral refracture after PVA in elderly patients with OTLCF, aiming to provide a foundation for a standardized management.

This article reports the diagnosis and treatment of a patient with diffuse large B-cell lymphoma (DLBCL) initially manifested as acquired von Willebrand syndrome (AvWS), along with a literature review. The patient, a 22-year-old male, was diagnosed with hereditary von Willebrand disease at the initial stage due to repeated mucosal bleeding, and was later diagnosed with DLBCL (non germinal center type, Ann Arbor stage Ⅳ) due to chest wall mass. Through chemotherapy combined with autologous hematopoietic stem cell transplantation and zebutinib maintenance therapy, the patient achieved sustained complete remission, and the coagulation function returned to normal. This case provides an important reference for the diagnosis and treatment of lymphoma associated AvWS, and highlights the importance of early recognition of basic diseases.

Objective To explore the diagnostic value of the phenomenon of protein-cell separation in cerebrospinal fluid(CSF),as well as the single and combined detections of CSF immunoglobulin G(CSF-IgG),CSF albumin(CSF-ALB)and serum immunoglobu-lin G(S-IgG)for Guillain-Barre syndrome(GBS).Methods A retrospective analysis was conducted on the clinical data of 65 GBS patients(GBS group)and 65 patients with other neurological diseases(non-GBS group).CSF and serum samples were collected from both the groups to analyze the diagnostic efficacy of protein-cell separation phenomenon in CSF,as well as the single and combined de-tections of CSF-IgG,CSF-ALB,and serum-IgG(S-IgG)in GBS.Results CSF protein-cell separation phenomenon was observed in 60.00％(39/65)of GBS patients.Prodromal events were presented in 67.69％(44/65)of GBS patients,which mainly were upper re-spiratory tract infection(43.08％,28/65),digestive tract infection(9.23％,6/65),and herpetic virus infection(7.69％,5/65).The levels of CSF-IgG,CSF-ALB,and S-IgG in the GBS group were significantly higher than those in non-GBS group(P＜0.05).The areas under the ROC curves(AUCROC)for single CSF-IgG,CSF-ALB,S-IgG,protein-cell separation phenomenon IN CSF,and the combination of all the four parameters in diagnosis of GBS were 0.754,0.705,0.682,0.708,and 0.840,respectively.The diagnostic specificities were 87.7％,75.4％,87.7％,81.5％,and 96.9％,respectively.Conclusion Most of the GBS patients were found to have CSF protein-cell separation phenomenon and history of prodromal infection.CSF-IgG,CSF-ALB,S-IgG,and CSF protein-cell separation phenomenon exhibited independent diagnostic value for GBS.The combined detection of the four indicators could improve the diagnostic efficacy for GBS.

Objective To explore the diagnostic value of the phenomenon of protein-cell separation in cerebrospinal fluid(CSF),as well as the single and combined detections of CSF immunoglobulin G(CSF-IgG),CSF albumin(CSF-ALB)and serum immunoglobu-lin G(S-IgG)for Guillain-Barre syndrome(GBS).Methods A retrospective analysis was conducted on the clinical data of 65 GBS patients(GBS group)and 65 patients with other neurological diseases(non-GBS group).CSF and serum samples were collected from both the groups to analyze the diagnostic efficacy of protein-cell separation phenomenon in CSF,as well as the single and combined de-tections of CSF-IgG,CSF-ALB,and serum-IgG(S-IgG)in GBS.Results CSF protein-cell separation phenomenon was observed in 60.00％(39/65)of GBS patients.Prodromal events were presented in 67.69％(44/65)of GBS patients,which mainly were upper re-spiratory tract infection(43.08％,28/65),digestive tract infection(9.23％,6/65),and herpetic virus infection(7.69％,5/65).The levels of CSF-IgG,CSF-ALB,and S-IgG in the GBS group were significantly higher than those in non-GBS group(P＜0.05).The areas under the ROC curves(AUCROC)for single CSF-IgG,CSF-ALB,S-IgG,protein-cell separation phenomenon IN CSF,and the combination of all the four parameters in diagnosis of GBS were 0.754,0.705,0.682,0.708,and 0.840,respectively.The diagnostic specificities were 87.7％,75.4％,87.7％,81.5％,and 96.9％,respectively.Conclusion Most of the GBS patients were found to have CSF protein-cell separation phenomenon and history of prodromal infection.CSF-IgG,CSF-ALB,S-IgG,and CSF protein-cell separation phenomenon exhibited independent diagnostic value for GBS.The combined detection of the four indicators could improve the diagnostic efficacy for GBS.

With the rapid development of computer vision technology, deep learning models have demonstrated new research area and potential value in intelligent microbiological detection. By utilizing multilayer neural networks and large amounts of training data, these models are capable of automated extraction and analysis for complex features, thereby improving the efficiency and accuracy of detection. This paper introduces the research background of deep learning in microbiological image detection, and elaborates on the methods for constructing microbiological image datasets, including data collection, preprocessing, annotation, and partitioning, and introduces typical deep learning models as well as their application examples in various microbiological detection. Deep learning in microbiological image analysis faces numerous challenges which needs further development.

Vertebral refracture following percutaneous vertebral augmentation (PVA) is commonly seen in elderly patients with osteoporotic thoracolumbar compression fractures (OTLCF). It can lead to recurrent pain, loss of vertebral height, progression of kyphosis, and even neurological dysfunction, significantly impairing patients′ quality of life. Current diagnosis and treatment face multiple challenges, including high misdiagnosis rate, difficulty in choosing between surgical and non-surgical treatment options, lack of standardized surgical protocols, interference from intralesional bone cement during procedures, inadequate stability of internal fixation in osteoporotic bone, and suboptimal compliance of anti-osteoporotic therapy. Establishing a standardized diagnostic and therapeutic framework is urgently needed. To standardize the management process and improve outcomes for vertebral refractures after PVA in elderly OTLCF patients, Spinal Trauma Group of the Orthopedic Branch of Chinese Medical Doctor Association organized experts in the field to develop Guideline for the diagnosis and treatment of vertebral refracture after percutaneous vertebral augmentation in elderly patients with osteoporotic thoracolumbar compression fractures ( version 2025), based on current literature and clinical experience, and adhering to principles of scientific rigor and clinical applicability. A total of 11 recommendations were proposed, encompassing diagnosis, treatment, and rehabilitation of vertebral refracture after PVA in elderly patients with OTLCF, aiming to provide a foundation for a standardized management.

This article reports the diagnosis and treatment of a patient with diffuse large B-cell lymphoma (DLBCL) initially manifested as acquired von Willebrand syndrome (AvWS), along with a literature review. The patient, a 22-year-old male, was diagnosed with hereditary von Willebrand disease at the initial stage due to repeated mucosal bleeding, and was later diagnosed with DLBCL (non germinal center type, Ann Arbor stage Ⅳ) due to chest wall mass. Through chemotherapy combined with autologous hematopoietic stem cell transplantation and zebutinib maintenance therapy, the patient achieved sustained complete remission, and the coagulation function returned to normal. This case provides an important reference for the diagnosis and treatment of lymphoma associated AvWS, and highlights the importance of early recognition of basic diseases.

Objective:To evaluate the epidemiological characteristics and explore the associated factors of breakthrough cases (BC) from Public Health Emergency Events (PHEEs) of varicella in Zhejiang Province from 2019 to 2022.Methods:Data on cases were obtained from the China Information System for Disease Control and Prevention and the PHEEs Reporting Information Database of Varicella in Zhejiang Province. History records were matched through the Zhejiang Provincial Immunization Information System. Descriptive analysis and multiple logistic regression model with a bidirectional stepwise selection method were performed to explore associated factors for BC during 2019-2022.Results:A total of 144 276 varicella cases were reported from 2019 to 2022, with the annual reported incidence of 47.35-82.80 cases per 100 000 population. Among these cases, 109 172 were non-breakthrough cases (NBC, accounting for 75.67%), 34 517 were BC (23.92%), and the rest 587 cases had unclear vaccination history on varicella (0.41%). A total of 214 PHEEs of varicella were reported, of which 99.07% occurred in school settings. The proportion of PHEEs that occurred in high school increased significantly as time went on ( χ2trend=5.742, P=0.017). Multiple logistic regression model which focused on "BC vs. NBC (as the reference)" indicated that the year of onset ( OR=1.585, 95% CI:1.343-1.878), the month of onset (taking January as the reference, OR=2.311-15.652), city (taking Hangzhou as the reference, Jiaxing OR=2.370, Jinhua OR=2.197, Lishui OR=0.134), age ( OR=0.887, 95% CI: 0.826-0.944), PHEEs setting (taking "primary school and below" as the reference, "high school and above" OR=0.516, 95% CI: 0.305-0.897), and the number of rashes ( OR=0.569, 95% CI: 0.458-0.703) were associated factors. Multiple logistic regression model which focused on "two-dose BC vs. one-dose BC (as the reference)" showed that the age of initial vaccination ( OR=0.045, 95% CI: 0.014-0.107), the time interval from onset to the last dose ( OR=0.037, 95% CI: 0.011-0.087) and the age of onset ( OR=20.724, 95% CI: 8.383-72.485) were associated factors. Conclusion:During 2019-2022, the reported high-risk group of varicella in Zhejiang Province has shifted to adolescents and young adults. Although vaccination could not completely prevent the onset of VZV, it could relieve clinical symptoms and delay the age of onset.

Objective To investigate the effects of Yishen Jiangu Pills on the expressions of AMPK/Cyclin Y/CDK16 pathway and autophagy and apoptosis-related proteins in cartilage tissue of rats with knee osteoarthritis(KOA);To discuss its mechanism for the treatment of KOA.Methods Totally 60 2-month-old SD rats were selected and randomly divided into sham-operation group,model group,agonist group,and TCM low-,medium-and high-dosage groups,with 10 rats in each group.Except for the sham-operation group,each group underwent medial meniscectomy and cruciate ligamentotomy to establish the KOA rat model,and the corresponding interventions were given for 14 d.Lequesne MG score was used to evaluate rat behavior,morphology of cartilage tissue was observed by HE and Safranin O-fixed green staining,and Mankin score was performed,Western blot was performed to detect expression of AMPK/Cyclin Y/CDK16 pathway proteins and autophagy proteins such as ULK-1,Beclin-1,LC3B,p62 and apoptotic proteins such as Bcl-2,Bax,Caspase-3,Caspase-9 in cartilage tissue,and autophagosome were observed using transmission electron microscopy.Results Compared with the sham-operation group,Lequesne MG score significantly increased in the model group(P<0.01),there was a significant defect in the surface layer of cartilage,thinning of the cartilage layer,disordered arrangement and irregular morphology of chondrocytes,and a significant increase in Mankin score(P<0.01),the expressions of AMPK,Cyclin Y,CDK16,ULK1,Beclin-1,LC3BⅡ/Ⅰ and Bcl-2 protein in cartilage tissue decreased,while the expressions of p62,Bax,Caspase-3 and Caspase-9 protein increased(P<0.01).Compared with the model group,the Lequesne MG scores of rats in the agonist group and TCM high-dosage group were significantly decreased(P<0.01),the TCM high-dosage group showed smoother cartilage surface,more regular arrangement of chondrocytes,basic integrity of cartilage layer structure,weakened cartilage tissue proliferation,and significantly decreased Mankin score(P<0.01),the expressions of AMPK,Cyclin Y,CDK16,ULK1,Beclin-1,LC3BⅡ/Ⅰ and Bcl-2 protein in cartilage tissue of rats in the agonist group and TCM medium-and high-dosage groups significantly increased(P<0.05,P<0.01),while the expressions of p62,Bax,Caspase-3 and Caspase-9 protein significantly decreased(P<0.05,P<0.01).Conclusion Yishen Jiangu Pills may promote chondrocyte autophagy and inhibit cell apoptosis by activating the AMPK/Cyclin Y/CDK16 pathway in cartilage tissue of KOA model rats,thus reduce cartilage damage.