ObjectiveTo investigate the risk factors for pyogenic liver abscess （PLA） comorbid with sepsis by analyzing clinical features， and to construct a predictive model. MethodsA retrospective analysis was performed for 489 patients who were hospitalized and diagnosed with PLA in The Affiliated Hospital of Xuzhou Medical University from January 2019 to December 2023， and according to the presence or absence of sepsis， they were divided into sepsis group with 306 patients and non-sepsis group with 183 patients. Related data were collected， including general information， laboratory markers， and outcome measures. The patients were further divided into a training set of 342 patients and a validation set of 147 patients at a ratio of 7∶3， and the training set was used for screening of variables and construction of a predictive model， while the validation set was used to test the performance of the model. An LASSO regression analysis was used for the screening of variables， and a multivariate Logistic regression analysis was used to construct the predictive model and plot a nomogram. The calibration curve， the receiver operating characteristic （ROC） curve， and the decision curve analysis were used for the validation of the model， and internal validation was performed for assessment. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test was used for comparison of categorical variables between groups. ResultsThere were significant differences between the sepsis group and the non-sepsis group in pulse rate， mean arterial pressure， duration pf symptoms， comorbidity of liver cirrhosis or malignant tumor， leukocyte count， neutrophil count， lymphocyte count， platelet count （PLT）， activated partial thromboplastin time， fibrinogen， C-reactive protein， aspartate aminotransferase， alanine aminotransferase， albumin， total bilirubin （TBil）， creatinine， potassium， and prognostic nutritional index （PNI） （all P<0.05）. In the training set， the LASSO regression analysis identified four predictive factors of pulse rate， PLT， TBil and PNI， and the multivariate Logistic regression analysis showed that pulse rate （odds ratio ［OR］=1.033， 95% confidence interval ［CI］： 1.006‍ ‍—‍ ‍1.061， P=0.018）， PLT （OR=0.981， 95%CI： 0.975‍ ‍—‍ ‍0.987， P<0.001）， TBil （OR=1.086， 95%CI： 1.053‍ ‍—‍ ‍1.125， P<0.001）， and PNI （OR=0.935， 95%CI： 0.882‍ ‍—‍ ‍0.988， P=0.019） were independent influencing factors for the risk of sepsis in patients with PLA. The model constructed based on these factors showed a good predictive ability， with an area under the ROC curve of 0.948 （95%CI： 0.923‍ ‍—‍ ‍0.973） in the training set and 0.912 （95%CI： 0.848‍ ‍—‍ ‍0.976） in the validation set. The decision curve analysis showed that the model has a good net benefit within the range of 0.3‍ ‍—‍ ‍0.9 for threshold probability. ConclusionThe nomogram prediction model constructed based on pulse rate， PLT， TBil， and PNI has a certain clinical value and can well predict the risk of sepsis in patients with PLA.

Depression (Dep) is one of the most common concomitant symptoms of Parkinson's disease (PD), but there is a lack of detailed pathologic evidence for the occurrence of PD-Dep. Currently, the management of symptoms from both conditions using conventional pharmacological interventions remains a formidable task. In this study, we found impaired activation of extracellular signal-related kinase (ERK), reduced levels of transcription and translation, and decreased expression of brain-derived neurotrophic factor (BDNF) in the medial prefrontal cortex (mPFC) of PD-Dep rats. We demonstrated that the abnormal phosphorylation of α-synuclein (pS129) induced tropomyosin-related kinase receptor type B (TrkB) retention at the neuronal cell membrane, leading to BDNF/TrkB signaling dysfunction. We chose SEW2871 as an ameliorator to upregulate ERK phosphorylation. The results showed that PD-Dep rats exhibited improvement in behavioral manifestations of PD and depression. In addition, a reduction in pS129 was accompanied by a restoration of the function of the BDNF/ERK signaling loop in the mPFC of PD-Dep rats.
Animals ; Brain-Derived Neurotrophic Factor/metabolism* ; alpha-Synuclein/metabolism* ; Male ; Prefrontal Cortex/drug effects* ; Rats, Sprague-Dawley ; Depression/metabolism* ; MAP Kinase Signaling System/drug effects* ; Rats ; Parkinson Disease/metabolism* ; Receptor, trkB/metabolism* ; Phosphorylation ; Disease Models, Animal ; Signal Transduction

Objective To construct a nomogram prediction model for predicting hemoglobin A1c(HbA1c)failure in type 2 diabetes mellitus(T2DM)patients.Methods A total of 936 inpatients with T2DM admitted to the Department of Endocrinology of the Affiliated Hospital of Shandong Second Medical University from January 2021 to January 2022 were selected as the research objects and divided into the non-standard group(HbA1c≥7%,n=801)and the standard group(HbA1c<7%,n=135).Univariate analysis was used to screen the related factors of HbA1c failure.Logistic regression multivariate model was used to analyze the influencing factors of HbA1c failure in T2DM patients.The R language was used to construct a nomogram,and the area under the receiver operating characteristic(ROC)curve(AUC)was used to evaluate the predictive ability of the model.The C-index and Hosmer-Lemeshow test were used to evaluate the discrimination and calibration of the model.Results There were statistically significant differences in triglyceride(TG),low-density lipoprotein cholesterol,direct bilirubin,urinary albumin/creatinine ratio(UACR),self-monitoring of blood glucose(SMBG),meat and vegetable pairing,hot pot,whole grain and animal viscera consumption between the two groups(P<0.05).Logistic regression analysis showed that TG(OR 1.699,95%CI 1.298～2.222),UACR(OR 1.003,95%CI 1.001～1.005),SMGB(OR 0.480,95%CI 0.313～0.735),more meat and less vegetables(OR 1.432,95%CI 1.062～1.931)were the influencing factors of HbA1c failure.The AUC of the nomogram prediction model based on the influencing factors was 0.711,with C-index 0.710(95%CI 0.663～0.758)and good calibration(χ2=11.185,P=0.191).Conclusions The nomogram prediction model for HbA1c failure in T2DM patients established based on TG,UACR,SMGB,meat and vegetarian mix has good discrimination and calibration,which can provide certain reference value for warning of poor blood glucose control.

Objective To analyze the disease burden of chronic kidney diseases (CKD) attributed to high body mass index (BMI) in China from 1992 to 2021 and predict the disease burden for the next decade, and to provide evidence for the prevention and treatment of CKD. Methods Using the Global Burden of Disease (GBD) database and the Joinpoint model, the average annual percentage rate change (AAPC) of the mortality rate and disability-adjusted life year (DALY) rate was calculated to describe and analyze the CKD disease burden attributed to high BMI in China from 1992 to 2021. The ARIMA model was employed to predict and analyze the change trend of the CKD disease burden. Results From 1992 to 2021, the mortality rate and DALY rate attributed to high BMI-induced chronic kidney disease showed an upward trend. Compared to 1992, the attributed number of deaths increased by 324.38%, and DALYs increased by 268.56%; the mortality rate increased by 64.00%, and the DALY rate grew by 51.62%. From 1992 to 2021, the mortality rate and DALY rate for males were lower than those for females, but the growth rate for males exceeded that of females. From 1992 to 2021, the mortality rate and DALY rate of chronic kidney disease attributed to high BMI in China increased with age. The average annual change rate of chronic kidney disease attributed to high BMI in China from 1992 to 2021 (mortality rate: 1.40 per 100,000 (95% CI: 1.04–1.76), DALY rate: 1.43 per 100 000 (95% CI: 1.17–1.70)) was higher than thHuaiyin Normal University, Huai'anher social demographic index (SDI) regions. The ARIMA model predicted that the age-standardized mortality rate increased from 2.91 per 100 000 in 2022 to 3.05 per 100 000 in 2026, and the age-standardized DALY rate increased from 69.65 per 100 000 in 2022 to 73.58 per 100 000 in 2026. Conclusion Chronic kidney disease attributed to high BMI in China is on the rise, and it will continue to grow in the future. The focus of CKD prevention and control should be on males and the elderly, while active measures should be taken to reduce the occurrence and progression of chronic kidney disease.

Objective To investigate the characteristics and correlation between peak oxygen uptake(VO?peak)and heart rate recov-ery(HRR)during cardiopulmonary exercise test(CPET)in patients with coronary borderline lesions.Methods From January,2022 to January,2024,183 patients with coronary borderline lesions in Beijing Bo'ai Hospital were divided into low cardiorespiratory fitness(LCF)group(n=61),moderate cardiorespiratory fitness(MCF)group(n=62)and high cardiorespiratory fitness(HCF)group(n=60)based on VO?peak.Their characteristics and CPET parameters including VO?peak,exercise-phase heart rate(HR1,HR2,HR3),and post-exercise heart rate recovery(HRR1,HRR2,HRR3)were analyzed.Results After adjusting for age and body mass index,analysis of covariance showed that the peak heart rate,HR1,HR2 and HR3 were the lowest in LCF group(F>5.388,P<0.01).Repeated-measures analysis of variance showed that the inter-and intra-group effects were significant in HRR(F>14.561,P<0.001).Partial correlation analy-sis showed that VO?peak positively correlated with HRR1(r=0.404,P<0.001),HRR2(r=0.379,P<0.001)and HRR3(r=0.425,P<0.001).Conclusion In patients with coronary artery borderline lesions,VO?peak demonstrated a significant inverse correlation with HRR,the lower the VO?peak,the more delays of HRR.

Objective:To analyze the there-dimensional radiographic characteristics of odontogenic myxoma(OM).Methods:Clinical records,histopathological reports,SCT or CBCT images of 18 patients with OM were retrospectively collected,and radiograph-ic features including lesion site,shape,size,expansion,intralesional septa and relationship with surrounding tissues were analyzed.The lesions were classified into types by the forms of septa.Results:18 patients(8 males and 10 females,aged 9-39 years old)were included.Among them,12 lesions(66.7％)were round-like in shape,7(38.9％)were located in the posterior maxilla,and 8(44.4％)in the posterior mandible.According to the septa map,the lesions included 4(22.2％)without septum(unilocular type),4 with(22.2％)sporadic septum on the periphery of the tumor(peripheral type),4(22.2％)with the septum from the periphery towards the center of the tumor(centripetal type)and 6(16.7％)with multiple septa interwoven as grid-like trabeclations(criss-crossing tup).Labial/buccal cortex expansion was present in 11 lesions(61.1％),and palatal cortex expansion in 12 lesions(66.7％).Moreover,cortex discontinuity occurred in 14 lesions(77.8％),impacted tooth was present in 9 lesions(16.7％),and root resorption was present in 8 lesions(44.4％).Conclusion:Most OMs occur in the posterior jaw,with multilocular and discontinued cortex.OMs can be classified into unilocular,perpheral,centripetal and cirss-crossing type by the forms of septa in the lesion.

Thoracic anesthesia with spontaneous respiration represents a form of precision anesthesia meticulously customized to individual patients.Considering the more stringent requirements this anesthesia approach imposes on the regulation of respiratory function,the writing group of the"Consensus of Experts on the Management of Thoracic Anesthesia with Spontaneous Respiration"has formulated elaborate guidelines regarding indications and contraindications,preoperative evaluation,anesthesia implementation,common complications,and treatment strategies.This was accomplished by referencing relevant domestic and international literature and integrating it with actual clinical requirements.The objective is to standardize the rational application of this anesthesia method.

Objective:To analyze the there-dimensional radiographic characteristics of odontogenic myxoma(OM).Methods:Clinical records,histopathological reports,SCT or CBCT images of 18 patients with OM were retrospectively collected,and radiograph-ic features including lesion site,shape,size,expansion,intralesional septa and relationship with surrounding tissues were analyzed.The lesions were classified into types by the forms of septa.Results:18 patients(8 males and 10 females,aged 9-39 years old)were included.Among them,12 lesions(66.7％)were round-like in shape,7(38.9％)were located in the posterior maxilla,and 8(44.4％)in the posterior mandible.According to the septa map,the lesions included 4(22.2％)without septum(unilocular type),4 with(22.2％)sporadic septum on the periphery of the tumor(peripheral type),4(22.2％)with the septum from the periphery towards the center of the tumor(centripetal type)and 6(16.7％)with multiple septa interwoven as grid-like trabeclations(criss-crossing tup).Labial/buccal cortex expansion was present in 11 lesions(61.1％),and palatal cortex expansion in 12 lesions(66.7％).Moreover,cortex discontinuity occurred in 14 lesions(77.8％),impacted tooth was present in 9 lesions(16.7％),and root resorption was present in 8 lesions(44.4％).Conclusion:Most OMs occur in the posterior jaw,with multilocular and discontinued cortex.OMs can be classified into unilocular,perpheral,centripetal and cirss-crossing type by the forms of septa in the lesion.

Objective To construct a nomogram prediction model for predicting hemoglobin A1c(HbA1c)failure in type 2 diabetes mellitus(T2DM)patients.Methods A total of 936 inpatients with T2DM admitted to the Department of Endocrinology of the Affiliated Hospital of Shandong Second Medical University from January 2021 to January 2022 were selected as the research objects and divided into the non-standard group(HbA1c≥7%,n=801)and the standard group(HbA1c<7%,n=135).Univariate analysis was used to screen the related factors of HbA1c failure.Logistic regression multivariate model was used to analyze the influencing factors of HbA1c failure in T2DM patients.The R language was used to construct a nomogram,and the area under the receiver operating characteristic(ROC)curve(AUC)was used to evaluate the predictive ability of the model.The C-index and Hosmer-Lemeshow test were used to evaluate the discrimination and calibration of the model.Results There were statistically significant differences in triglyceride(TG),low-density lipoprotein cholesterol,direct bilirubin,urinary albumin/creatinine ratio(UACR),self-monitoring of blood glucose(SMBG),meat and vegetable pairing,hot pot,whole grain and animal viscera consumption between the two groups(P<0.05).Logistic regression analysis showed that TG(OR 1.699,95%CI 1.298～2.222),UACR(OR 1.003,95%CI 1.001～1.005),SMGB(OR 0.480,95%CI 0.313～0.735),more meat and less vegetables(OR 1.432,95%CI 1.062～1.931)were the influencing factors of HbA1c failure.The AUC of the nomogram prediction model based on the influencing factors was 0.711,with C-index 0.710(95%CI 0.663～0.758)and good calibration(χ2=11.185,P=0.191).Conclusions The nomogram prediction model for HbA1c failure in T2DM patients established based on TG,UACR,SMGB,meat and vegetarian mix has good discrimination and calibration,which can provide certain reference value for warning of poor blood glucose control.

Objective To investigate the characteristics and correlation between peak oxygen uptake(VO?peak)and heart rate recov-ery(HRR)during cardiopulmonary exercise test(CPET)in patients with coronary borderline lesions.Methods From January,2022 to January,2024,183 patients with coronary borderline lesions in Beijing Bo'ai Hospital were divided into low cardiorespiratory fitness(LCF)group(n=61),moderate cardiorespiratory fitness(MCF)group(n=62)and high cardiorespiratory fitness(HCF)group(n=60)based on VO?peak.Their characteristics and CPET parameters including VO?peak,exercise-phase heart rate(HR1,HR2,HR3),and post-exercise heart rate recovery(HRR1,HRR2,HRR3)were analyzed.Results After adjusting for age and body mass index,analysis of covariance showed that the peak heart rate,HR1,HR2 and HR3 were the lowest in LCF group(F>5.388,P<0.01).Repeated-measures analysis of variance showed that the inter-and intra-group effects were significant in HRR(F>14.561,P<0.001).Partial correlation analy-sis showed that VO?peak positively correlated with HRR1(r=0.404,P<0.001),HRR2(r=0.379,P<0.001)and HRR3(r=0.425,P<0.001).Conclusion In patients with coronary artery borderline lesions,VO?peak demonstrated a significant inverse correlation with HRR,the lower the VO?peak,the more delays of HRR.