Objective:To establish a rapid detection method based on matrix-assisted laser desorption ionization time-of-flight mass spectrometry(MALDI-TOF MS)for drug resistance of Carbapenem-resistant Enterobacteriaceae(CRE),so as to provide basis for enhancing clinically diagnostic effect.Methods:A total of 120 suspected CRE strains that were isolated from the clinical laboratory of Jiading District Central Hospital Affiliated to Shanghai University of Medicine&Health Sciences during October 2023 and September 2024 were collected,and the experimental detection of 44 strains was finally completed.The 44 suspected CRE bacterial strains were all from hospitalized patients.A rapid detection protocol based on the MALDI-TOF MS platform was initially established and improved,and experimental detection was carried out using the fully automatic rapid microbial mass spectrometry detection system(VITEK MS).The results of identification review and antimicrobial susceptibility test(AST)for VitEK-2 Compact strain was used as the reference standard.The screening results and detection efficacy of two kinds of detection methods were compared.Results:In the 44 suspected CRE strains,31 CRE strains were screened out by MALDI-TOF MS detection,and 31 CRE stains were screened out by VITEK-2 Compact recheck detection.In them,one strain of Enterobacter cloacae was confirmed as negativity by the MALDI-TOF MS test,but it was confirmed as CRE by the VITEK-2 Compact test.One strain of Klebsiella pneumoniae was confirmed as positivity by the MALDI-TOF MS test,but it was confirmed as mediator for carbapenem drugs by the VITEK-2 Compact test.The tested results of VITEK-2 Compact was used as standard,the results of four-grid table(2×2 contingency table)statistical method indicated that the sensitivity,specificity,accuracy rate and Youden index(R)of MALDI-TOF MS were respectively 96.7%,92.3%,100%and 89.1%.Conclusion:The rapid detection method based on the MALDI-TOF MS platform for CRE drug resistance has simple operation process and high accuracy rate,which can provide a basis for the application of targeted antibacterial drugs at early stage.

Objective Sleep-related head jerks （SRHJ） are a newly recognized sleep-onset motor phenomenon that has not yet been incorporated into the ICSD-3 classification of sleep disorders， and this study aims to provide a descriptive analysis of the clinical and video polysomnography （VPSG） features of SRHJ patients. Methods A retrospective analysis was performed for the VPSG recordings collected over a 2-year period in Sleep Laboratory of Department of Neurology， Peking Union Medical College Hospital， and the patients with a neck myoclonus index of >15 events per hour during REM sleep were diagnosed with SRHJ. The clinical and VPSG features of these patients with SRHJ were analyzed， as well as the proportion of patients with SRHJ-related arousals and micro-arousals or comorbidity with other types of sleep disorders. Results There were eight patients in the SRHJ group， and the occurrence rate of SRHJ during REM sleep was 77%. The head jerk index ranged from 15 to 91.5 events/h during REM sleep and from 0.5 to 4 events/h during NREM sleep. The patients with SRHJ-related arousals and micro-arousals accounted for 44%， among whom 44% were comorbid with jerks involving other body parts （such as the upper limbs， the lower limbs， and the shoulders）. Comorbid sleep disorders included obstructive sleep apnea-hypopnea syndrome in two patients， REM sleep behavior disorder in two patients， narcolepsy in one patient， and propriospinal myoclonus in one patient. Conclusion SRHJ is a paroxysmal motor event mainly observed during REM sleep and often has a low frequency of attack， possibly due to physiological causes. However， frequent episodes may disrupt sleep stability. There are currently no diagnostic criteria for SRHJ， and its diagnosis should consider the frequency of attacks， the impact on sleep stability， and potential adverse consequences.

Objective:To investigate the prognostic value of deep learning-based automated quantification of tumor-stroma ratio (TSR) in patients undergoing neoadjuvant therapy (NAT) for breast cancer.Methods:Specimens were collected from 209 breast cancer patients who received NAT at Renmin Hospital of Wuhan University from October 2019 to June 2023. TSR levels in pre-NAT biopsy specimens were automatically computed using a deep learning algorithm and categorized into low stroma (TSR≤30%), intermediate stroma (TSR 30% to ≤60%), and high stroma (TSR>60%) groups. Residual cancer burden (RCB) grading of post-NAT surgical specimens was determined to compare the relationship between TSR expression levels and RCB grades. The correlation of TSR with NAT efficacy was analyzed, and the association between TSR expression and patient prognosis was further investigated.Results:There were 85 cases with low stroma (TSR≤30%), 93 cases with intermediate stroma (TSR 30% to ≤60%), and 31 cases with high stroma (TSR>60%). Different TSR expression levels showed significant differences between various RCB grades ( P<0.05). Logistic univariate and multivariate analyses showed that TSR was a risk factor for obtaining a complete pathological remission from neoadjuvant therapy for breast cancer when it was used as a continuous variable ( P<0.05); COX regression and survival analyses showed that the lower the percentage of tumorigenic mesenchyme was, the better the prognosis of the patient was ( P<0.05). Conclusions:The deep learning-based model enables automatic and accurate quantification of TSR. A lower pre-treatment tumoral stroma is associated with a lower RCB score and a higher rate of pathologic complete response, indicating that TSR can predict the efficacy of neoadjuvant therapy in breast cancer and thus holds prognostic significance. Therefore, TSR may serve as a biomarker for predicting therapeutic outcomes in breast cancer neoadjuvant therapy.

Objective:To investigate the prognostic value of deep learning-based automated quantification of tumor-stroma ratio (TSR) in patients undergoing neoadjuvant therapy (NAT) for breast cancer.Methods:Specimens were collected from 209 breast cancer patients who received NAT at Renmin Hospital of Wuhan University from October 2019 to June 2023. TSR levels in pre-NAT biopsy specimens were automatically computed using a deep learning algorithm and categorized into low stroma (TSR≤30%), intermediate stroma (TSR 30% to ≤60%), and high stroma (TSR>60%) groups. Residual cancer burden (RCB) grading of post-NAT surgical specimens was determined to compare the relationship between TSR expression levels and RCB grades. The correlation of TSR with NAT efficacy was analyzed, and the association between TSR expression and patient prognosis was further investigated.Results:There were 85 cases with low stroma (TSR≤30%), 93 cases with intermediate stroma (TSR 30% to ≤60%), and 31 cases with high stroma (TSR>60%). Different TSR expression levels showed significant differences between various RCB grades ( P<0.05). Logistic univariate and multivariate analyses showed that TSR was a risk factor for obtaining a complete pathological remission from neoadjuvant therapy for breast cancer when it was used as a continuous variable ( P<0.05); COX regression and survival analyses showed that the lower the percentage of tumorigenic mesenchyme was, the better the prognosis of the patient was ( P<0.05). Conclusions:The deep learning-based model enables automatic and accurate quantification of TSR. A lower pre-treatment tumoral stroma is associated with a lower RCB score and a higher rate of pathologic complete response, indicating that TSR can predict the efficacy of neoadjuvant therapy in breast cancer and thus holds prognostic significance. Therefore, TSR may serve as a biomarker for predicting therapeutic outcomes in breast cancer neoadjuvant therapy.

Objective:To establish a rapid detection method based on matrix-assisted laser desorption ionization time-of-flight mass spectrometry(MALDI-TOF MS)for drug resistance of Carbapenem-resistant Enterobacteriaceae(CRE),so as to provide basis for enhancing clinically diagnostic effect.Methods:A total of 120 suspected CRE strains that were isolated from the clinical laboratory of Jiading District Central Hospital Affiliated to Shanghai University of Medicine&Health Sciences during October 2023 and September 2024 were collected,and the experimental detection of 44 strains was finally completed.The 44 suspected CRE bacterial strains were all from hospitalized patients.A rapid detection protocol based on the MALDI-TOF MS platform was initially established and improved,and experimental detection was carried out using the fully automatic rapid microbial mass spectrometry detection system(VITEK MS).The results of identification review and antimicrobial susceptibility test(AST)for VitEK-2 Compact strain was used as the reference standard.The screening results and detection efficacy of two kinds of detection methods were compared.Results:In the 44 suspected CRE strains,31 CRE strains were screened out by MALDI-TOF MS detection,and 31 CRE stains were screened out by VITEK-2 Compact recheck detection.In them,one strain of Enterobacter cloacae was confirmed as negativity by the MALDI-TOF MS test,but it was confirmed as CRE by the VITEK-2 Compact test.One strain of Klebsiella pneumoniae was confirmed as positivity by the MALDI-TOF MS test,but it was confirmed as mediator for carbapenem drugs by the VITEK-2 Compact test.The tested results of VITEK-2 Compact was used as standard,the results of four-grid table(2×2 contingency table)statistical method indicated that the sensitivity,specificity,accuracy rate and Youden index(R)of MALDI-TOF MS were respectively 96.7%,92.3%,100%and 89.1%.Conclusion:The rapid detection method based on the MALDI-TOF MS platform for CRE drug resistance has simple operation process and high accuracy rate,which can provide a basis for the application of targeted antibacterial drugs at early stage.

Objective:To automatically classify hypertensive heart disease (HHD) and hypertrophic cardiomyopathy (HCM) based on mul-titask learning algorithm using native T1 mapping images.Methods:A total of 203 patients admitted to Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University from January 2017 to December 2021 were enrolled, including 53 patients with HHD, 121 patients with HCM, and 29 patients with normal control (NC). Native T1 mapping images of all enrolled patients were acquired using MRI and processed by a multi-task learning algorithm. The classification performance of each model was validated using ten-fold crossover, confusion matrix, and receiver operator characteristic (ROC) curves. The Resnet 50 model based on the original images was established as a control.Results:The ten-fold crossover validation results showed that the MTL-1 024, MTL-64, and MTL-all models showed better performance in terms of area under the curve (AUC), accuracy, sensitivity, and specificity compared to the Resnet 50 model. In the classification task, the MTL-64 model showed the best performance in terms of AUC (0.942 1), while the MTL-all model reached the highest value in terms of accuracy (0.852 2). In the segmentation task, the MTL-64 model achieved the best results with the Dice coefficient (0.879 7). The confusion matrix plot showed that the MTL model outperforms the Resnet 50 model based on the original image in terms of overall performance. The ROC graphs of all MTL models were significantly higher than the original image input Resnet 50 model.Conclusions:Multi-task learning-based native T1 mapping images are effective for automatic classification of HHD and HCM.

The liver plays an important regulatory role in maintaining the dynamic balance of coagulation and anticoagulation in the body. Such dynamic balance is fragile in patients with liver cirrhosis， and the risk of bleeding can be increased due to reductions in coagulation factors and platelet count and excessive fibrinolysis； meanwhile， thrombus can be formed due to the increases in von Willebrand factor and coagulation factor Ⅷ， the reductions in anticoagulant protein C and anticoagulant protein S， the increase in thrombin-generating potential， and alterations in antifibrinolytic components. This article reviews the mechanisms of coagulation disorder in liver cirrhosis， so as to help clinicians with the prevention and treatment of bleeding or thrombotic disorders in patients with liver cirrhosis.

Objective To discuss the application of the"rotating guidewire and correcting the filter recovery hook direction technique"("rotation-correction loop technique"for short),a technique invented by the authors in clinical practice,in the retrieval of complex inferior vena cava filter(IVCF),and to discuss its technical skills and advantages.Methods The clinical data of 417 patients carrying an IVCF,who were admitted to the Department of Vascular Surgery of Second Hospital of Shanxi Medical University of China to retrieve IVCF between January 2022 and December 2022,were retrospectively analyzed.Taking the time spent on the retrieval of IVCF and the intraoperative radiation dose as the evaluation indicators,the advantages and disadvantages of the standard filter retrieval technique,the"rotation-correction loop technique"and the other loop-assisted techniques were compared.Results Both the intraoperative radiation dose and the time spent on the retrieval of IVCF using"rotation-correction loop technique"were remarkably lower than those of other loop-assisted techniques(P＜0.000 1).Conclusion For the retrieval of complex IVCF,especially for the IVCF which is heavily tilted and/or its recovered hook is attached to the vascular wall,the use of"rotation-correction loop technique"can shorten the time spent on the the retrieval of IVCF and reduce the intraoperative radiation dose.This technique carries high safety and practicability,the device is simple and it can be manipulated by single physician,which is conducive to clinical application and promotion.(J Intervent Radiol,2024,33:289-294)

ObjectiveTo investigate the effects of Guizhi Jia Longgu Mulitang on the expression difference of interleukin-10 （IL-10） and tumor necrosis factor -α （TNF-α） in related organs of insomnia rats with sensory dysfunction dominated by lung and study the mechanism of Guizhi Jia Longgu Mulitang in improving insomnia. MethodSD rats were randomly divided into the blank group， model group， western medicine group， and traditional Chinese medicine （TCM） group， with 10 rats in each group. The rats were deprived of sleep by shallow water environment method in a long platform， and the modeling lasted for 42 d. The blank group and model group were given 0.05 mL·kg^-1 normal saline by gavage， and the western medicine group and TCM group were given drugs during modeling. To be specific， the western medicine group was given 0.105 mg·kg^-1 dexzopiclone tablet by gavage， while the TCM group was given 7 600 mg·kg^-1 Guizhi Jia Longgu Mulitang by gavage， both lasting for 28 days. After successful modeling， the Morris water maze experiment was performed on the 42nd day to detect the motion and spatial memory ability of rats. The levels of IL-10 and TNF-α in serum were detected by enzyme-linked immunosorbent assay （ELISA）. The protein expression of IL-10 and TNF-α in the lung and brain tissue of rats was detected by Western blot. The levels of IL-10 and TNF-α in the lung and brain tissue of rats were detected by immunohistochemistry. ResultCompared with the blank group， the sleep stages non-rapid eye movement ( NREM ) and rapid eye movement ( REM ) of the model group were significantly shortened （P<0.5， P<0.01）， and the wake stage was significantly increased （P<0.01）. The total time and distance of platform exploration were significantly increased （P<0.01）. In the target quadrant （the third quadrant）， the percentage of exploration time and the times of crossing the platform were significantly decreased （P<0.01）. ELISA results showed that the serum IL-10 level was significantly decreased （P<0.01）， and TNF-α level was significantly increased （P<0.01）. The results of Western blot showed that the protein expression of IL-10 in brain and lung tissue of rats was significantly decreased （P<0.01）， and the protein expression of TNF-α was significantly increased （P<0.01）. The results of immunohistochemistry showed that the expression of IL-10 in the brain and lung tissue of rats was significantly decreased （P<0.01）， and that of TNF-α was significantly increased （P<0.01）. Compared with the model group， the NREM stage and REM stage of the western medicine group and the TCM group were significantly increased （P<0.5， P<0.01）， and the wake stage was shortened （P<0.5）. The total time and distance of platform exploration were significantly decreased （P<0.01）. In the target quadrant （the third quadrant）， the percentage of exploration time and the times of crossing the platform were significantly increased （P<0.05， P<0.01）. The serum IL-10 level was significantly increased （P<0.01）， and the serum TNF-α level was significantly decreased according to the ELISA results （P<0.01）. The results of Western blot showed that the protein expression of IL-10 in brain tissue and lung tissue was significantly increased （P<0.01）， and the protein expression of TNF-α was significantly decreased （P<0.01）. The results of immunohistochemistry showed that the expression of IL-10 in brain tissue and lung tissue was significantly increased （P<0.05， P<0.01）， and the expression of TNF-α was significantly decreased （P<0.05， P<0.01）. ConclusionGuizhi Jia Longgu Mulitang can improve the expression of IL-10 and TNF-α in brain and lung tissue of insomnia rats with sensory dysfunction dominated by lung， prolong sleep time， and then improve insomnia. The mechanism may be related to improving the expression level of inflammatory factors.

Objective:To investigate the expression and clinical significance of plasma methylated SEPT9 (mSEPT9) gene in patients with primary liver cancer.Methods:393 cases who visited our hospital from May 2016 to October 2018 were selected. Among them, 75 cases were in the primary liver cancer (PLC) group, 50 cases were in the liver cirrhosis (LC) group, and 268 cases were in the healthy control group (HC). The three groups' positive rates of mSEPT9 expression in the peripheral plasma were detected by the polymerase chain reaction (PCR) fluorescent probe method. The correlational clinical features of liver cancer were analyzed. At the same time, the electrochemiluminescence detection method was used to compare the AFP positive rate. Statistical analysis was conducted using chi-square tests or continuity-corrected chi-square tests.Results:367 cases actually had valid samples. There were 64, 42, and 64 cases in the liver cancer group, cirrhosis group, and healthy control group, respectively. Among them, 34 cases of liver cancer were verified from pathological tissues. The positive rate of plasma mSEPT9 was significantly higher in the liver cancer group than that in the liver cirrhosis and healthy control groups [76.6% (49/64), 35.7% (15/42), and 3.8% (10/261), respectively], and the differences were statistically significant ( χ2 = 176.017, P < 0.001). The sensitivity of plasma mSEPT9 detection (76.6%) was significantly better in liver cancer (76.6%) than that of AFP patients (54.7%), and the difference was statistically significant ( χ2 = 6.788, P < 0.01). Compared with the single detection, the sensitivity and specificity of plasma mSEPT9 combined with AFP were significantly improved (89.7% vs. 96.3%, respectively). Patients with liver cancer aged≥50 years, with clinical stage II or above, and those with pathological signs of moderate to low differentiation had higher levels of plasma mSEPT9 positive expression, and the differences were statistically significant ( χ2 = 6.41, 9.279, 6.332, P < 0.05). During the follow-up period, the survival time of liver cancer patients with positive plasma mSEPT9 expression was significantly shorter than that of those with negative expression (310 ± 26 days vs. 487 ± 59 days, respectively), with statistically significant differences (Log Rank P = 0.039). Conclusion:In China, the positive rate of plasma mSEPT9 detection in liver cancer patients is higher than that of AFP in relation to age, clinical stage, and degree of tissue differentiation; additionally, it has certain survival predictive values. As a result, detecting this gene has important clinical significance and potential clinical application value in the non-invasive diagnosis and prognosis assessment of patients with primary liver cancer.