OBJECTIVE To explore the clinical characteristics of Mycoplasma pneumoniae pneumonia(MPP)after COVID-19 epidemic so as to offer help for early clinical diagnosis and treatment.METHODS The clinical data that were collected from the MPP patients who were treated in the fever clinic of the First Medical Center of Chinese PLA General Hospital from Jul.2023 to Aug.2024 were retrospectively analyzed.The results of laboratory tests for the different age groups of patients complicated with other pathogens were statistically analyzed.RESULTS Of totally 161 MPP patients who were enrolled in the study,78(48.85％)were male,and 83(51.55％)were fe-male;the average age was(32.98±14.35)years old,and the patients aged between 20 and 40 years old accoun-ted for 43.48％(70 cases).The enrolled patients were divided into the simple MPP group with 92(57.14％)ca-ses and the MPP+mixed group with 69(42.86％)cases according to the result of etiological test of sputum;the patients of MPP+mixed group were divided into the MPP+bacteria group with 42(60.87％)cases,the MPP+fungi group with 10(14.49％)cases,and the MPP+viruses group with 17(24.64％)cases.There was significant difference in the age among the groups(P＜0.05);there were no significant differences in the sex,white blood cell counts and percentage of mononuclear cells among the groups,the percentage of lymphocytes was highest in the simple MPP group,the levels of C-reactive protein(CRP)and interleukin-6(IL-6)were highest in the MPP+bacteria group,and there were significant differences(P＜0.05).All of the patients were divided into three groups:the ≤20-year-old group the＞20-40-year old group and the＞40-year-old group.There were no sig-nificant differences in the white blood cell counts,percentage of lymphocytes,percentage of mononuclear cells and IL-6 level among the three groups,and the CRP level was highest in the＞20-40-year old group(P=0.025).Ran-dom forest model analysis showed that the weight of CRP was highest(22.65％)among the clinical characteristics of the MPP patients,which played a key role in construction of model.As for other factors,the weight of age was 17.02％,the percentage of lymphocytes 15.34％,the white blood cells counts 14.86％,the percentage of mono-nuclear cells 14.39％,the IL-6 13.61％,the gender 2.13％.CONCLUSION MPP maintains common among the patients aged less than 40 years old after the COVID-19 epidemic,nearly half of the patients are complicated with the infections of other pathogens,and CRP is more helpful for the clinical diagnosis and treatment of the MPP in early stage.

Objective To explore the predictive efficacy of several multimodal MRI-based machine learning models for the promoter methylation states of O6-methylguanine-DNA methyltransferase(MGMT)of glioblastoma muliforme(GBM)patients in terms of the GBM heterogeneity and the complexity of the tumor microenvironment.Methods Firstly,the multimodal MRI images of 317 GBM patients from The University of Pennsylvania Glioblastoma(UPENN-GBM)dataset were pre-processed,with four sequences involved in including T1-weighted imaging(T1WI)sequence,T1-weighted contrast-enhanced imaging(T1CE)sequence,T2-weighted imaging(T2WI)sequence and fluid-attenuated inversion recovery(FLAIR)sequence,and the radiomics features were extracted for two regions of interest(ROIs)such as the tumor core region and the tumor edema region.Secondly,the data of the 317 GBM patients were randomly divided into a training set(254 cases)and a test set(63 cases),which underwent normalization with Z-scores and feature selection and dimensionality reduction with Lasso regression.Finally,three models were established respectively with particle swarm optimization-support vector machine(PSO-SVM),C-support vector classification(C-SVC)and adaptive boosting(adaptive boosting(Adaboost)algorithms,and the predictive efficacy of the three models for glioblastoma multiforme MGMT promoter methylation states were evaluated in terms of accuracy and AUC.Results The Adaboost model based on T2WI sequence and radiomics features of the tumor core region had the highest predictive efficacy with accuracy and AUC values of 67％and 0.74,respectively,higher than those of other combinations of sequences,models and regions of interest.Conclusion The multimodal MRI-based machine learning models can be used for the prediction of glioblastoma multiforme MGMT promoter methylation states,which provides powerful support for personalized treatment and prognostic assessment of GBM.[Chinese Medical Equipment Journal,2025,46(6):7-13]

OBJECTIVE To summarize the clinical characteristics and diagnosis and treatment experiences in dealing with non-severe Chlamydia psittaci pneumonia.METHODS The clinical data were collected from 34 patients who were diagnosed with non-severe C.psittaci pneumonia through quantitative polymerase chain reactiong(qPCR)for sputum in fever clinic of the First Medical Center of Chinese PLA General Hospital from Mar.2023 to Mar.2024 and were retrospectively analyzed.The clinical characteristics and treatment outcomes were evaluated.RESULTS The average age of the patients was(44.82±13.74)years old,the ratio of male to female was 1∶1.83;all of the patients had fever;major symptoms were cough(70.59％),pharyngodynia(44.12％),and flu-like symptoms(41.18％);82.35％of the patients had the history of contact with poultry.The C-reactive pro-tein(CRP)level,interleukin-6(IL-6),systemic inflammatory response index(SIRI)and aggregate index of sys-temic inflammation(AISI)were higher among the patients aged no less than 44 years old than among the patients less than 44 years old(P＜0.05);the percentage of lymphocytes of the patients aged no less than 44 years old was lower than that of the patients aged less than 44 years old(P＜0.05).As for the imaging findings,73.53％of the patients had consolidation shadows,26.47％had ground-glass opacities,and 32.35％involved both lungs.All of the patients received quinolones or tetracyclines for treatment of 7-14 days and all symptoms relieved.CT reexami-nated 1 month after the treatment showed that 55.88％of the cases had complete absorption of pulmonary infec-tious lesions,and 35.29％had partial absorption.CONCLUSIONS The patients with non-severe Chlamydia psitta-ci pneumonia are characterized by the history of contact with poultry,fever complicated with respiratory tract symptoms,rise of inflammatory markers(more significant among patients of advanced age)and lower lobe con-solidation shadow/ground-glass opacities.Early identification and standardized treatment may facilitate the favora-ble treatment outcomes.

Objective To establish a reliable prediction model for radiation pneumonitis(RP)based on multi-regional radiomics analysis of localizable CT images.Methods A retrospective analysis was conducted on 185 patients who received radiotherapy from January 2021 to June 2023 in the Department of Radiotherapy,Xuzhou Cancer Hospital.Patients were classified as having RP or not based on imaging combined with clinical diagnosis.Three regions of interest(ROI)were defined in the localizable CT images:Lung,Lung-PTV and PTV,and their radiomics features were extracted.After feature screening using methods such as Mann-Whitney Utest,recursive feature elimination,and Lasso,a prediction model was established using support vector machine classification algorithm.The model performance was validated using 6 evaluation metrics:the area under the receiver operating characteristic curve(AUC),accuracy,specificity,sensitivity,positive predictive value,and negative predictive value.Results The prediction model consisted of 7 radiomics features.The clinical model of target-to-lung ratio,PTV model,Lung model,and Lung-PTV model achieved AUC values of 0.535,0.801,0.672,and 0.706 in the test set,respectively.The AUC value and accuracy of PTV model reached 0.843 and 0.775 in the training set,while 0.801 and 0.750 in the test set.PTV model was superior to Lung model,Lung-PTV model,and clinical model in predictive performance.The AUC values of the combined PTV+(Lung-PTV)model in the training and test sets were 0.867 and 0.806,respectively,higher than those of PTV model and Lung-PTV model.Conclusion The predictive ability of the prediction models constructed from radiomics features in different ROI for symptomatic RP varies.The radiomics prediction model using PTV as ROI exhibits superior predictive performance,and the combined multi-regional radiomics model can further improve the predictive ability for RP.

Objective To investigate the impact of county-level"Unified ECG Network"construction on the treatment efficiency and clinical outcomes of patients with acute ST-segment elevation myocardial infarction(STEMI).Methods A retrospective analysis was conducted on the clinical data of STEMI patients from Beichuan County and Yanting County in Mianyang City,and Jiange County in Guangyuan City,Sichuan Province,during the 18 months before(128 cases)and 18 months after(187 cases)the establishment of the"Unified ECG Network."Differences in demographic characteristics,treatment efficiency,therapeutic methods,and clinical outcomes between the two groups were compared.Results There was no statistically significant difference in general demographic characteristics between the two groups(all P＞0.05).Compared with the pre-construction group,the post-construction group showed significantly shorter times in initial ECG completion[5(3,7)min vs.6(4,8)min],initial ECG diagnosis[3(2,4)min vs.5(2,6)min],first medical contact to preliminary diagnosis[10(9,12)min vs.13(11,15)min],network hospital door-in-door-out time[21(19,23)min vs.26(23,30)min],and first medical contact to wire-crossing time[(94.82±11.87)min vs.(107.97±18.39)min](allP＜0.001).The proportion of patients bypassing the emergency department and coronary care unit significantly increased(64.17％vs.32.81％,P＜0.001).The proportion of patients undergoing emergency percutaneous coronary intervention significantly increased(72.73％vs.51.56％,P＜0.001),while the proportions of thrombolytic therapy and non-reperfusion therapy significantly decreased(both P＜0.05).Additionally,in-hospital mortality rate,Killip class≥Ⅱ proportion,incidence of major adverse cardiovascular events,and average length of hospital stay were all significantly reduced(all P＜0.05).There were no statistically significant differences among the three county-level chest pain centers in terms of major treatment efficiency,therapeutic strategies,or clinical outcomes(all P＞0.05).Conclusions The construction of the county-level"Unified ECG Network"can significantly improve the treatment efficiency of STEMI patients,optimize reperfusion therapy strategies,improve clinical outcomes,and demonstrate substantial clinical promotion value.

Aim To investigate the antidepressant mechanism of hyperforin via the utilization of single-cell sequencing technology.Methods C57BL/6 mice were randomly divided into the control group,depres-sion model group,and hyperforin intervention group.The chronic unpredictable mild stress(CUMS)model was induced and drug interventions were administered for 28 d.Behavioral experiments were conducted to as-sess depressive symptoms,and hippocampal tissue was collected for single-cell RNA sequencing.Key cell populations and differentially expressed genes across groups were identified,followed by PPI network,GO,and KEGG enrichment analysis.Results Behavioral experiments indicated that CUMS successfully induced depressive symptoms in mice,while hyperforin im-proved depressive behavior.In the depression model group,the proportion of brain perivascular macrophages(PVM)increased,and this proportion decreased after hyperforin intervention,approaching the level seen in the control group.The top 20 common differentially ex-pressed genes in the PVM subpopulation were Saa3,Hbb-bs and Ccl24.PPI network analysis identified core targets,including Ccl2,Dhx9,C3,Msr1,Cxcl2 and Cx3cr1.KEGG enrichment analysis revealed pathways related to chemokines,phagosome formation,and inosi-tol phosphate metabolism.Conclusion The antide-pressant mechanism of hyperforin may be related to the regulation of Ccl24 and its related chemokine signaling pathway by PVM.

Objective To investigate the impact of county-level"Unified ECG Network"construction on the treatment efficiency and clinical outcomes of patients with acute ST-segment elevation myocardial infarction(STEMI).Methods A retrospective analysis was conducted on the clinical data of STEMI patients from Beichuan County and Yanting County in Mianyang City,and Jiange County in Guangyuan City,Sichuan Province,during the 18 months before(128 cases)and 18 months after(187 cases)the establishment of the"Unified ECG Network."Differences in demographic characteristics,treatment efficiency,therapeutic methods,and clinical outcomes between the two groups were compared.Results There was no statistically significant difference in general demographic characteristics between the two groups(all P＞0.05).Compared with the pre-construction group,the post-construction group showed significantly shorter times in initial ECG completion[5(3,7)min vs.6(4,8)min],initial ECG diagnosis[3(2,4)min vs.5(2,6)min],first medical contact to preliminary diagnosis[10(9,12)min vs.13(11,15)min],network hospital door-in-door-out time[21(19,23)min vs.26(23,30)min],and first medical contact to wire-crossing time[(94.82±11.87)min vs.(107.97±18.39)min](allP＜0.001).The proportion of patients bypassing the emergency department and coronary care unit significantly increased(64.17％vs.32.81％,P＜0.001).The proportion of patients undergoing emergency percutaneous coronary intervention significantly increased(72.73％vs.51.56％,P＜0.001),while the proportions of thrombolytic therapy and non-reperfusion therapy significantly decreased(both P＜0.05).Additionally,in-hospital mortality rate,Killip class≥Ⅱ proportion,incidence of major adverse cardiovascular events,and average length of hospital stay were all significantly reduced(all P＜0.05).There were no statistically significant differences among the three county-level chest pain centers in terms of major treatment efficiency,therapeutic strategies,or clinical outcomes(all P＞0.05).Conclusions The construction of the county-level"Unified ECG Network"can significantly improve the treatment efficiency of STEMI patients,optimize reperfusion therapy strategies,improve clinical outcomes,and demonstrate substantial clinical promotion value.

Aim To investigate the antidepressant mechanism of hyperforin via the utilization of single-cell sequencing technology.Methods C57BL/6 mice were randomly divided into the control group,depres-sion model group,and hyperforin intervention group.The chronic unpredictable mild stress(CUMS)model was induced and drug interventions were administered for 28 d.Behavioral experiments were conducted to as-sess depressive symptoms,and hippocampal tissue was collected for single-cell RNA sequencing.Key cell populations and differentially expressed genes across groups were identified,followed by PPI network,GO,and KEGG enrichment analysis.Results Behavioral experiments indicated that CUMS successfully induced depressive symptoms in mice,while hyperforin im-proved depressive behavior.In the depression model group,the proportion of brain perivascular macrophages(PVM)increased,and this proportion decreased after hyperforin intervention,approaching the level seen in the control group.The top 20 common differentially ex-pressed genes in the PVM subpopulation were Saa3,Hbb-bs and Ccl24.PPI network analysis identified core targets,including Ccl2,Dhx9,C3,Msr1,Cxcl2 and Cx3cr1.KEGG enrichment analysis revealed pathways related to chemokines,phagosome formation,and inosi-tol phosphate metabolism.Conclusion The antide-pressant mechanism of hyperforin may be related to the regulation of Ccl24 and its related chemokine signaling pathway by PVM.

Objective:To explore the safety and efficacy of intraosseous regional administration (IORA) of vancomycin for preventing infection in primary total knee arthroplasty (TKA).Methods:A total of 124 patients with knee osteoarthritis undergoing TKA between February 2024 and May 2024 at nine hospitals were enrolled. Preoperative infection prophylaxis involved either IORA (0.5 g vancomycin administered via intraosseous regional infusion before incision) or intravenous infusion (1 g vancomycin via peripheral vein). The IORA group included 15 males and 47 females with a median age of 66.5 years (range, 60.0-70.0 years), while the intravenous group included 14 males and 48 females with a median age of 66.0 years (range, 61.8-70.3 years) years. Intraoperative samples were collected including fat and synovium tissues after incision, before prosthesis placement, and after tourniquet release; distal femoral cancellous bone during femoral osteotomy; proximal tibial cancellous bone during tibial osteotomy; proximal intercondylar cancellous bone before prosthesis placement; and peripheral blood from non-infused arms at surgery initiation and after tourniquet release. Vancomycin concentrations were measured using liquid chromatography-tandem mass spectrometry. Vital sign changes were recorded from admission to 5~10 minutes post-IORA (IORA group) or post-incision (intravenous group). Follow-ups were conducted on postoperative day 1 and 3, and at 1 and 3 months, to document complications including IORA-related adverse events, periprosthetic joint infections, surgical site infections, red man syndrome, acute kidney injury, deep vein thrombosis and so on.Results:Vancomycin concentrations in bone, fat, and synovial tissue samples were significantly higher in the IORA group than in the intravenous group ( P<0.05), while vancomycin concentrations in blood samples were significantly lower in the IORA group than in the intravenous group ( P<0.05). Only 7.3%(41/558) of tissue samples in the IORA group had vancomycin concentrations below 2.0 μg/g (the minimum inhibitory concentration of vancomycin against coagulase-negative staphylococcus), compared to 59.3%(331/558) in the intravenous group (χ 2=11.285, P<0.001). In the intravenous group, 16.9%(21/124) of blood samples had vancomycin concentrations exceeding 15.0 mg/L (the threshold associated with a significantly increased risk of nephrotoxicity), while all concentrations in the IORA group were below this threshold, the difference was statistically significant (χ 2=22.943, P<0.001). There were no statistically significant difference ( P>0.05) in vital signs changes before and after vancomycin administration between the two groups. Two patients in the intravenous group experienced incision exudate, while no other related complications occurred in either group. Conclusions:Compared to the traditional intravenous infusion of 1 g vancomycin, intraosseous injection of a low dose (0.5 g) of vancomycin achieves higher local tissue concentrations in the knee joint with a lower incidence of adverse reactions and is safe for infection prophylaxis. Despite guidelines not recommending the routine use of vancomycin for preventing infection after primary TKA, intraosseous injection of 0.5 g vancomycin may be considered intraoperatively for primary TKA in the following scenarios: patients in medical institutions with a high prevalence of methicillin-resistant staphylococcus aureus (MRSA) infections, patients with potential preoperative MRSA colonization, or patients with cephalosporin allergy.

Objective By establishing a model to screen out patients with potentially large positional deviations based on their abdominal circumference,personalized solutions can be taken to address setup errors in these patients and ensure treatment efficacy.Methods A total of 81 patients treated at Tianjin People's Hospital from May 2021 to June 2023 were selected as the study subjects.The correlations between setup errors in the lateral,longitudinal,and vertical directions and abdominal circumference were analyzed.Subsequently,linear regression was performed for the direction with a significant correlation to abdominal circumference to establish a linear regression model.Finally,the 81 patients were divided into a normal setup group and an abnormal setup group with 0.7 cm as the critical value.A receiver operating characteristic(ROC)curve was plotted,and the maximum Youden index was calculated to determine the optimal cutoff value for identifying patients prone to abnormal setup.Results The correlation analysis of abdominal circumference and setup errors in various directions showed that the correlation coefficient between abdominal circumference and longitudinal direction positioning error was 0.406 2,and the correlation was statistically significant and positively correlated.The correlation coefficients for abdominal circumference and the lateral as well as longitudinal directions were-0.117 5 and-0.067 47,respectively,with P values greater than 0.05,indicating no statistical significance.A linear regression model was established for abdominal circumference and longitudinal direction,and the results showed an R2of 0.165,with a regression coefficient B of 0.008(t=3.951,P<0.01),indicating that the model was well constructed.ROC curve analysis showed an area under the curve of 0.715,with a 95%confidence interval of 0.57-0.86 and a maximum Youden index of 0.478.The corresponding optimal cutoff value was determined to be at 87 cm,with sensitivity at 0.875 and specificity at 0.603.Conclusion The abdominal circumference is significant to diagnose whether the longitudinal setup error is abnormal.Patients with an abdominal circumference greater than 87 cm are more likely to experience abnormal positioning during radiotherapy,which is reflected in the longitudinal setup errors being the largest.It is recommended to provide individualized target area margins for patients with an abdominal circumference greater than 87 cm,or perform daily cone-beam computed tomography to correct setup errors,thereby ensuring target coverage and treatment efficacy.