Objective:To investigate the perioperative bleeding of patients undergoing transurethral plasma kinetic prostatectomy (TUPKP) and analyze the related influencing factors.Methods:Retrospectively analyzed the clinical data of 206 patients with TUPKP admitted to Xi′an Lintong District People′s Hospital from March 2021 to March 2024, all patients were aged from 51 to 83 years old, with an average of (64.33±9.74) years; patients′ course of disease was 1 to 7 years, averaged (4.57±1.59) years. and the perioperative bleeding of patients was observed and divided into bleeding group ( n=108) and non-bleeding group( n=98). By comparing the general data and laboratory data between groups, the influencing factors of perioperative bleeding in TUPKP patients were analyzed by multivariate Logistic regression. Results The proportion of diabetes and postoperative constipation in bleeding group was higher than that in non-bleeding group, and the prostate volume and operation time were higher than that in non-bleeding group ( P<0.05). Serum calcium, platelet count (PLT) and activated partial thromboplastin time (APTT) in bleeding group were lower than those in non-bleeding group ( P<0.05). Multivariate Logistic regression analysis showed that diabetes ( OR=4.283), prostate volume ( OR=1.111), operation time ( OR=1.091) and postoperative constipation ( OR=4.144) were the risk factors for perioperative bleeding in TUPKP patients ( P<0.05). Serum calcium ( OR=0.001) and PLT ( OR=0.980) are the protective factors for perioperative bleeding in TUPKP patients ( P<0.05). Conclusion:The rate of perioperative bleeding in TUPKP patients is of great risk. Diabetes, prostate volume, operation time and postoperative constipation are its risk factors, and serum calcium and PLT are its protective factors.

Objectives:To investigate the feasibility of using bedside echocardiography on the evaluation of potential donors with different causes of brain death for adult heart transplantation. Methods:Bedside echocardiographic and clinical data of consecutive potential donors for adult heart transplantation evaluated by the team of our institution from February 2018 to December 2020 were retrospectively analyzed.Based on different causes of brain death,the potential donors were divided into stroke(ischemic or hemorrhagic,n=398)and non-stroke(head trauma,brain tumor,anoxia,n=272)groups.The clinical and echocardiographic features were compared between the two groups.A total of 350 donors were assigned to our hospital by the China Organ Transplant Response System and met the inclusion criteria for donor selection.There were 195 cases in the stroke group and 155 in the non-stroke group.Retrieval operations were performed and the retrieval rate of hearts for transplantation in stroke donors was compared to that in non-stroke donors. Results:(1)Among the 670 potential heart donors,compared with the non-stroke group,donors in the stroke group were significantly older,had higher body mass index,larger left ventricular end-diastolic diameter,thicker interventricular septum,higher rates of echocardiographic abnormalities,higher prevalence of hypertension(all P<0.001).Among the 670 potential heart donors,17.5%(117 cases)did not meet the echo selection criteria,the common causes were left ventricular hypertrophy(59 cases,50.4%),left ventricular ejection fraction<50%(27 cases,23.1%),wall motion abnormalities(21 cases,17.9%),and left ventricular dilation(14 cases,12.0%).(2)Among the 350 donors who had met the selection criteria and assigned to our hospital by the China Organ Transplant Response System and underwent retrieval operation,70.3%(246 cases)were successfully procured,110 cases(44.7%)in the stroke group and 136 cases(55.3%)in the non-stroke group.The retrieval rate of stroke donors(110/195,56.4%)was lower compared with that of non-stroke(136/155,87.7%,P<0.001),104 cases(29.7%)were not retrieved,and the leading cause of unsuccessful organ retrieval was the occlusion of at least one major coronary artery(91 cases,87.5%). Conclusions:Bedside echocardiography is of great value as a screening tool for cardiac donors.Cardiac structures of the potential donor with stroke as the cause of brain death were different from those with non-stroke causes.The retrieval rate of stroke donors was lower than that of non-stroke donors,even if the initial criteria for donor selection were fulfilled.

In automatic skin damage analysis,segmentation is a challenging and critical operation due to factors such as the shape and contrast of hair and skin lesions on the skin.Compared with traditional segmentation methods,deep learning seamlessly integrates feature extraction and task-specific decision-making,achieving segmentation tasks more accurately and efficiently,and effectively reducing the burden and cost of skin cancer screening.This article first introduces the background of dermoscopic segmentation and deep learning models,and introduces the application of deep learning in dermoscopic segmentation.Secondly,this article introduces the algorithm models of convolutional neural networks and attention mechanisms,reviews the application of fused attention convolutional neural networks in dermoscopic segmentation since Jan 2022,and summarizes the improvement strategies,the advantages and disadvantages of the model.The model is further analyzed based on commonly used datasets of dermoscopy and evaluation indicators of image segmentation.Finally,the application of fused attention convolutional neural network in dermoscopic segmentation is summarized and prospected.

Objective To study the clinical characteristics and bacterial antimicrobial susceptibility testing results of patients with clinically isolated Ralstonia pickettii(R.pickettii),and provide basis for the rational use of antimi-crobial agents.Methods Inpatients with R.pickettii infection who were treated at the Tianjin First Central Hospi-tal from January 2014 to December 2023 were analyzed retrospectively.Clinical characteristics and antimicrobial sus-ceptibility testing results were analyzed.Results A total of 80 strains of Ralstonia spp.were isolated over 10-year period,including 42(52.5％)non-repetitive strains of R.pickettii.Among 42 R.pickettii strains,64.3％were isolated from male patients.The strains isolated from sputum,catheter,blood,throat swabs,and drainage fluid specimens accounted for 38.1％,28.6％,19.0％,4.8％,and 2.4％,respectively.The clinical distribution of R.pickettii was highest in the intensive care unit(ICU),with a proportion of 52.4％.The number of infected patients first increased and then decreased with the years,followed by a slight fluctuation.There was no statistically signifi-cant difference in the number of infected patients in each department over the years(P＞0.05).R.pickettii had higher susceptibility rates to doxycycline,levofloxacin,ciprofloxacin,and minocycline,susceptibility rates were 78.3％-90.9％,but was completely resistant to compound sulfamethoxazole and cefazolin(100％),it also had higher resistance rates to aztreonam,colistin,cefotetan,tobramycin,amikacin,ceftazidime,and gentamicin(80.0％-97.4％).There was no statistically significant difference in the resistance rates to 21 antimicrobial agents among different years(all P＞0.05).Conclusion R.pickettii is mainly from ICU,and the majority of the infected population are adult males.Most strains are isolated from sputum and catheter.R.pickettii presents multidrug re-sistance.Attention should be paid to the changes in the resistance rates of antimicrobial agents,strengthen the dy-namic monitoring of bacterial resistance and guide the rational selection of antimicrobial agents in clinic,implement early and effective treatment to improve the prognosis of the patients.

Objective:To explore the relationship between the expressions of P21,P27 and proliferating cell nuclear antigen(PCNA)in glomerular mesangial tissue and poor renal prognosis in patients with immunoglobulin A(IgA)nephropathy.Methods:A total of 145 patients with IgA nephropathy treated in Xiaogan Central Hospital from April 2017 to August 2019 were selected as the research object.The expressions of P21,P27 and PCNA in glomerular mesangial tissue were detected by immunohistochemistry.All patients were followed up for 24 months,and the prognosis were counted.The expressions of P21,P27 and PCNA in glomerular mesangial tissue of patients with different prognosis were compared and the influencing factors of poor prognosis in patients with IgA nephropathy were analyzed by Logistic regression analysis.Results:The expression rates of P21,P27 and PCNA positive cells in glomerular mesangial tissue of patients with IgA nephropathy were(38.69±6.83)%,(55.94±8.08)%,(33.47±5.72)%,respectively.The incidence rete of poor prognosis in patients with IgA nephropathy was 17.24%,and the expression rates of P21 and PCNA positive cells in glomerular mesangial tissue of patients with poor prognosis were higher than those in good prognosis group(P<0.05),while the expression rate of P27 positive cells was lower than that in good prognosis group(P<0.05).Logistic multiple regression analysis showed that elevated diastolic blood pressure,increased 24 h proteinuria,mesangial cell proliferation,segmental glomerulosclerosis,renal tubular atrophy/interstitial fibrosis,crescentic body,increased expression rates of P21 and PCNA positive cells and decreased expression rate of P27 positive cells were all risk factors affecting the poor prognosis of patients with IgA nephropathy(P<0.05).Conclusion:There are positive expressions of P21,P27 and PCNA in glomerular mesangial tissue of IgA nephropathy.The expression rates of P21 and PCNA positive cells in glomerular mesangial tissue of of patients with poor prognosis of IgA nephropathy are higher than those with good prognosis,while the expression rate of P27 protein positive cells is lower than those with good prognosis,which are risk factors for poor prognosis of patients with IgA nephropathy.

Objective To observe the expression of serum carcinoembryonic antigen(CEA)and cytokeratin 19 fragment(CYFRA21-1)in peripheral blood of lung cancer patients,and to explore the prognostic value of combined imaging indicators for lung cancer patients.Methods Retrospectively analyze clinical data of lung cancer patients;all patients were followed up for six months after chemotherapy;observed the prognosis outcome of patients;included patients with cancer cell recurrence,metastasis or death in the poor prognosis group,and the rest of the patients in the good prognosis group.The baseline data,laboratory data and multi-slice spiral computed tomography(MSCT)results of the two groups before chemotherapy were compared;the application of peripheral blood biomarkers CEA and CYFRA21-1 combined with MSCT in predicting the prognosis of patients with lung cancer was analyzed.Results Among the 102 lung cancer patients who completed chemotherapy follow-up,16 had recurrence,10 had metastasis,and 5 died,accounting for 30.39％(31 cases/102 cases)of poor prognosis;the levels of CEA expression in the poor prognosis group and the good prognosis group were(28.03±8.49)and(17.03±5.78)ng·mL-1,respectively;the levels of CYFRA21-1 expression were(7.03±1.46)and(4.86±0.94)ng·mL-1,respectively;the levels of CA125 expression were(86.16±9.42)and(72.33±7.83)ng·mL-1,respectively;blood flow rates were(94.58±15.63)and(78.21±10.23)mL·s-1,respectively;surface permeability were(18.44±3.67)and(15.61±3.38)mL·min-1·100 g-1,respectively;time to peak were(26.58±5.50)and(20.15±3.49)s,respectively;tumor volume were(88.54±12.22)and(77.19±10.56)mm3,respectively;the differences between the two groups were statistically significant(all P＜0.05).The receiver operating characteristic(ROC)curve showed that the areas under the curves(AUC)of CEA and CYFRA21-1 plasma concentrations were 0.854 and 0.892;the AUC of blood flow rate,surface permeability,time to peak,and tumor volume were 0.810,0.719,0.834,and 0.744,respectively;and the AUC of the combined test was 0.954.Conclusion The levels of peripheral blood biomarkers CEA and CYFRA21-1 are highly expressed in the serum of lung cancer patients and the combination of CEA,CYFRA21-1 with imaging indicators is helpful in predicting the prognosis of lung cancer patients.

The pathogenesis of diabetic cardiomyopathy(DCM)is complex.Autophagy plays a pivotal role in the development of DCM,and whether its level is stable or not is closely related to the development of the course of DCM.Numerous active components found in traditional Chinese medicines and compound formulations have demonstrated the ability to modulate autophagy levels.These interventions occur through various mechanisms,such as hypoglycemic,anti-apoptotic,anti-inflammatory,and anti-oxidative stress pathways.By mitigating autophagy-induced myocardial damage,enhancing cardiac function,and slowing the progression of DCM,these compounds offer promising avenues for DCM management.This paper aims to consolidate and present research findings from the last 5 years.Our goal is to provide valuable insights and references for the research,development,and clinical application of Chinese medicine in the context of combating DCM.

Aprocitentan is a dual endothelin receptor antagonist.Based on the effective evidence of Ⅲ phases of clinical trials,the drug was approved for marketing by the U.S.Food and Drug Administration on March 19,2024 for the treatment of refractory hypertension.At present,multiple clinical studies have confirmed that Aprocitentan has excellent antihypertensive effects and good tolerability.This article reviews the pharmacological effects,preclinical.

Background: Twenty-four-hour urinary free cortisol (UFC) measurement is the initial diagnostic test for Cushing’s syndrome (CS). We compared UFC determination by both direct and extraction immunoassays using Abbott Architect, Siemens Atellica Solution, and Beckman DxI800 with liquid chromatography-tandem mass spectrometry (LC-MS/MS). In addition, we evaluated the value of 24-hr UFC measured by six methods for diagnosing CS. Methods: Residual 24-hr urine samples of 94 CS and 246 non-CS patients were collected.A laboratory-developed LC-MS/MS method was used as reference. UFC was measured by direct assays (D) using Abbott, Siemens, and Beckman platforms and by extraction assays (E) using Siemens and Beckman platforms. Method was compared using Passing–Bablok regression and Bland–Altman plot analyses. Cut-off values for the six assays and corresponding sensitivities and specificities were calculated by ROC analysis. Results: Abbott-D, Beckman-E, Siemens-E, and Siemens-D showed strong correlations with LC-MS/MS (Spearman coefficient r = 0.965, 0.922, 0.922, and 0.897, respectively), while Beckman-D showed weaker correlation (r = 0.755). All immunoassays showed proportionally positive bias. The areas under the curve were 0.975 for Abbott-D, 0.972 for LCMS/MS, 0.966 for Siemens-E, 0.948 for Siemens-D, 0.955 for Beckman-E, and 0.877 for Beckman-D. The cut-off values varied significantly (154.8–1,321.5 nmol/24 hrs). Assay sensitivity and specificity ranged from 76.1% to 93.2% and from 93.0% to 97.1%, respectively. Conclusions Commercially available immunoassays for measuring UFC show different levels of analytical consistency compared to LC-MS/MS. Abbott-D, Siemens-E, and Beckman-E have high diagnostic accuracy for CS.

Objective The high incidence, disability, and mortality rates of stroke result in a heavy economic and social burden. The aim of this study was to investigate the relationship between triglyceride-glucose (TyG) index and new-onset stroke to assist in the identification of high-risk groups for stroke and to provide ideas for effective prevention. Methods The study was based on data from the China Health and Retirement Longitudinal Study (CHARLS) from 2011 to 2018 and included 7630 eligible middle-aged and elderly participants. The association between TyG index and new-onset stroke was assessed by logistic regression modelling and restricted triple spline analysis. Results A total of 431 participants had a new stroke. The TyG index was found to be a risk factor for stroke occurrence when it was >8.523, and there was a positive linear association moderated by gender. Conclusion Elevated TyG index is a risk factor for new stroke. This study provides new ideas for the identification of high-risk groups for stroke and for intervention measures and timing.