BACKGROUND:The treatment of early knee osteoarthritis can be achieved through two knee preservation treatments:Unicondylar knee arthroplasty and high tibial osteotomy.However,further exploration is needed to determine whether there are differences in knee joint recovery between the two knee preservation surgeries at different stages after surgery. OBJECTIVE:To compare the efficacy and related complications of unicondylar knee arthroplasty and high tibial osteotomy in the treatment of varus osteoarthropathy of the knee,and to provide a reference for clinical decision. METHODS:A total of 103 patients with varus osteoarthritis of the knee underwent surgical treatment in the Affiliated Hospital of Nantong University from September 2018 to September 2022 were selected.Among them,86 patients were followed up for more than 1 year.According to different surgical methods,the patients were divided into unicondylar knee arthroplasty group(49 cases)and high tibial osteotomy group(37 cases).Knee function,pain,and line of force correction were evaluated before surgery,4 weeks,3 months,6 months,and 1 year after surgery in both groups.Hospital for special surgery knee score,functional score of Western Ontario and McMaster Universities Osteoarthritis Index,changes of lateral space of the knee joint,range of motion,proprioception(position sense),and postoperative activity recovery speed were evaluated comprehensively. RESULTS AND CONCLUSION:(1)There were no significant differences in preoperative hospital for special surgery knee score,Western Ontario and McMaster Universities Osteoarthritis Index score and lateral knee compartment size between the two groups.(2)The hospital for special surgery knee score of patients undergoing unicondylar knee arthroplasty was better than that of patients undergoing high tibial osteotomy within 4 weeks after surgery(P<0.05).At 3 and 6 months after surgery,compared with the improvement of the two groups,the hospital for special surgery knee score in the unicondylar knee arthroplasty group was lower than that in the high tibial osteotomy group,and the difference was significant(P<0.05).The range of motion flexion value and position perception of patients undergoing high tibial osteotomy were significantly better than those undergoing unicondylar knee arthroplasty 6 months after surgery(P<0.05).(3)The unicondylar knee arthroplasty group was better than the high tibial osteotomy group in terms of the speed of knee movement recovery(P<0.05).(4)However,there was no significant difference between the two groups in the change of hospital for special surgery knee score,range of motion,and the width of lateral knee space during 1-year follow-up.(5)All patients were followed up for more than 1 year,and no adverse complications were found during the follow-up.(6)It is indicated that the short-term effect of knee functional recovery in patients with high tibial osteotomy is better than that in patients with unicondylar knee arthroplasty,but there is no significant difference in medium-and long-term efficacy between the two kinds of surgery for medial knee arthritis.

ObjectiveThe rapid advancement of bioanalytical technologies has heightened the demand for high-throughput, label-free, and real-time cellular analysis. Electrochemical impedance spectroscopy (EIS) operating in the GHz frequency range (GHz-EIS) has emerged as a promising tool for characterizing cell suspensions due to its ability to rapidly and non-invasively capture the dielectric properties of cells and their microenvironment. Although GHz-EIS enables rapid and label-free detection of cell suspensions, significant challenges remain in interpreting GHz impedance data for complex samples, limiting the broader application of this technique in cellular research. To address these challenges, this study presents a novel method that integrates GHz-EIS with deep learning algorithms, aiming to improve the precision of cell suspension concentration identification and quantification. This method provides a more efficient and accurate solution for the analysis of GHz impedance data. MethodsThe proposed method comprises two key components: dielectric property dataset construction and backpropagation (BP) neural network modeling. Yeast cell suspensions at varying concentrations were prepared and separately introduced into a coaxial sensor for impedance measurement. The dielectric properties of these suspensions were extracted using a GHz-EIS dielectric property extraction method applied to the measured impedance data. A dielectric properties dataset incorporating concentration labels was subsequently established and divided into training and testing subsets. A BP neural network model employing specific activation functions (ReLU and Leaky ReLU) was then designed. The model was trained and tested using the constructed dataset, and optimal model parameters were obtained through this process. This BP neural network enables automated extraction and analytical processing of dielectric properties, facilitating precise recognition of cell suspension concentrations through data-driven training. ResultsThrough comparative analysis with conventional centrifugal methods, the recognized concentration values of cell suspensions showed high consistency, with relative errors consistently below 5%. Notably, high-concentration samples exhibited even smaller deviations, further validating the precision and reliability of the proposed methodology. To benchmark the recognition performance against different algorithms, two typical approaches—support vector machines (SVM) and K-nearest neighbor (KNN)—were selected for comparison. The proposed method demonstrated superior performance in quantifying cell concentrations. Specifically, the BP neural network achieved a mean absolute percentage error (MAPE) of 2.06% and an R² value of 0.997 across the entire concentration range, demonstrating both high predictive accuracy and excellent model fit. ConclusionThis study demonstrates that the proposed method enables accurate and rapid determination of unknown sample concentrations. By combining GHz-EIS with BP neural network algorithms, efficient identification of cell concentrations is achieved, laying the foundation for the development of a convenient online cell analysis platform and showing significant application prospects. Compared to typical recognition approaches, the proposed method exhibits superior capabilities in recognizing cell suspension concentrations. Furthermore, this methodology not only accelerates research in cell biology and precision medicine but also paves the way for future EIS biosensors capable of intelligent, adaptive analysis in dynamic biological research.

AIM: To investigate the pharmacokinetic properties of the main active components of Dalitong extract in SD rats after oral administration using UPLC-MS / MS. METHODS: An UPLC-MS / MS method was established to simultaneously detect tetrahydropalmatine, nobiletin and costunolide in the plasma and tissues of SD rats. The method was applied to investigate the pharmacokinetic characteristics and tissue distribution. RESULTS: After a single oral administration, the three active components were rapidly absorbed into the body, with a peak concentration (Cmax) of (13.73 ± 7.50), (27.01 ± 17.69) and (6.73 ± 29.94) ng / mL for tetrahydropalmatine, nobiletin, and costunolide, respectively. The time to reach the peak concentration (Tmax) was (1.40 ± 0.93), (0.63 ± 0.28) and (2.38 ± 8.81) h, respectively. The area under the curve (AUC) was (80.43±40.03), (41.30±28.69) and (303.90 ± 136.69) ng · h · mL

Objective:To enhance comprehension of undifferentiated embryonal sarcoma of the liver(UESL)in children by analyzing ultra-sound,CT,and MRI imaging features.Methods:A retrospective analysis was conducted on 11 cases of UESL in children,confirmed through surgery and pathology,at the Children's Hospital,Affiliated Capital Institute of Pediatrics from December 2009 to December 2021.We ana-lyzed the ultrasound,CT,and MRI imaging features of all patients and summarized their characteristics.Results:All 11 cases presented with solitary hepatic masses ranging from 11.5 to 19.8 cm in diameter.Imaging manifestations of UESL correlated with component proportion and distribution within the masses.Lesions displayed clear boundaries in all cases.CT scans revealed mixed low density in 11 cases,with ir-regular floc soft tissue density shadows observed at the edge of cystic density areas or around partitions in a few cases.Ultrasound images of all six cases showed solid space-occupying masses,with varying sizes of anechoic regions within the solid mass.MRI T1WI showed mixed low intensity signal in three cases and strip/large high intensity signal areas in the lesion.T2WI revealed mixed high intensity signal and strip low intensity signal areas in 3 lesions.In the arterial phase,lesions displayed slightly to moderately heterogeneous strip/patch enhancement,primarily marginal enhancement in nine cases and thickened,tortuous arterial shadows in eight cases.In the delayed phase,lesions showed continuous uneven enhancement,with enhancement at the edge and peripheral-to-central filling observed in eight cases.Additionally,the enhancement range continuously increased in eight cases,with the false capsule sign identified in eight cases in the delayed stage.Conclu-sions:Imaging features of UESL in children exhibit distinct characteristics.Understanding these features,in conjunction with clinical findings,may aid in early diagnosis.

Objective:To explore the MR enterography (MRE) features of intestinal Behcet disease (BD) and Crohn disease (CD) in pediatric patients.Methods:This study was a cross-sectional study. The BD patients and CD patients were retrospectively enrolled from Children′s Hospital Affiliated to Capital Institute of Pediatrics from January 2019 to October 2022. There were 17 children with intestinal BD, including 6 males and 11 females, aged 5-12 (8.4±2.6) years, and 23 children with CD, including 15 males and 8 females, aged 7-15 (10.2±2.7) years. The MRE images were observed, and the evaluation contents included the diseased intestine (terminal ileum, ileum+ascending colon, ileum+ascending colon+transverse colon, whole colon), the form of intestinal wall thickening (uniform/eccentric thickening), MRI signal (fat suppression T 2WI, DWI), the enhancement mode (uniform/layered enhancement), intestinal stenosis, intestinal dilatation, mesentery comb sign, mesentery fatty fibrosis, lymph node enlargement, and the extraintestinal complication (anal fistula, fluid collection). The comparison of MRE signs between groups was performed using the χ2 test or Fisher exact test. Results:All children were completed MRE examination with good intestinal filling, and no adverse reactions. The significant differences were found in the scope of the diseased bowel, the form of intestinal wall thickening, DWI signal, intestinal dilatation, lymph node enlargement, anal fistula and fluid collection between the intestinal BD and CD patients ( P<0.05), while no significant differences were found in the fat suppression T 2WI signal, enhancement mode of the lesion, intestinal stenosis, mesentery comb sign, and mesentery fatty fibrosis ( P>0.05). Conclusion:MRE is safe and effective, and there are certain significantly different MRE features between children with intestinal BD and CD.

OBJECTIVE To investigate the HRCT and MRI characteristic of external auditory canal cholesteatoma(EACC)in children.METHODS A total of 40 patients(45 lesions)with EACC confirmed by pathology were retrospectively analyzed with HRCT and MRI characteristics and clinical therapeutic value.Imaging findings of 40 patients(45 lesions)with EACC were retrospectively analyzed.RESULTS Soft tissues were found in all the external auditory canal(EAC).Of the forty-five soft tissues,7 manifested as inhomogeneous strip soft tissues and 38 as lesions solid soft tissues;30 located in medial part of the EAC and covered the tympanic membrane,while the other 15 presented as tympanic membrane perforation and involved the tympanic cavity.The MRI of the 3 ears showed high signal on T2/T1 iso-intensity,high signal on DWI,and low signal on ADC.Normal whole bony EAC was observed in 17 cases and enlarged medial EAC in 28 cases.Seven cases only involved in the superior wall,but 38 cases displayed as multiple bone wall involved,of which 6 involved in circumferential walls.Thirty-three cases displayed atactic ear bone margin,11 displayed blunted or disappeared drum shield plate.Destroy of long crus of incus and manubrium mallei occurred in 15 cases,of short crus of incus in 8 cases,of stapes in 2 cases,and mastoiditis in 5 cases.According to the pneumatization degree of mastoid air cell,37 cases were classified into pneumatic type,7 cases into mixed type,and the last one into diploic type.CONCLUSION The children EACC tends to be limited and rarely involved in middle ear and mastoid process.No patient with peri-ear infection was found.Application of HRCT and MRI help accurate location and determination of cholesteatoma.According to the extent of the lesion,selecting the appropriate surgical method is an effective method to remove cholesteatoma,improve hearing and reduce recurrence.

Objective Establish a standardized evaluation system for medical faults,and provide theoretical basis for medical institutions and related industries to evaluate the illegality of medical behaviors.Methods Based on a litera-ture review,the medical fault assessment system was initially constructed,and then a research group was estab-lished to use Delphi method to invite 31 experts to evaluate the importance and feasibility of each article of the medi-cal fault assessment system and put forward suggestions for modification.Results The effective recovery rates of the two rounds of expert consultation were 83.9％and 96.8％,the expert authority coefficient was 0.902 and 0.887,and the Kendall's W test of all levels differences were statistically significant(P＜0.001).The medical fault assess-ment system finally constructed includes 5 first-level items including practicing medicine according to law,informed notification,diagnosis and treatment technology,medical record documents and hospital management,as well as 10 second-level items,20 third-level items and 47 fourth-level items.The mean values of importance and feasibili-ty scores of all articles were greater than 4,standard deviations were less than 1,and coefficients of variation were less than 0.2.Conclusion The medical fault standardized evaluation system is scientific,reliable,innovative and appli-cable.

Objective:To construct a nomogram prediction model for 28-day mortality in septic shock patients based on routine laboratory data mining and verify its predictive value.Methods:The clinical data of patients with septic shock admitted to Anhui Medical University Affiliated Fuyang Hospital from January 2018 to November 2023 were retrospectively analyzed. The patients were randomly divided into training set and validation set according to the ratio of 8∶2. The patient's gender, age, body mass index, underlying disease, smoking history, alcohol history, infection site, acute physiology and chronic health evaluation Ⅱ (APACHEⅡ), sequential organ failure assessment (SOFA), respiratory rate, heart rate, mean arterial pressure, blood lactate, procalcitonin, C-reactive protein, white blood cell count, platelet count, serum alanine aminotransferase, aspartate aminotransferase, urea nitrogen, serum creatinine, fibrinogen, D-dimer, albumin on the first day of admission to the intensive care unit (ICU), duration of mechanical ventilation, and length of ICU stay were collected. The patients were divided into survival and death groups based on their 28-day prognosis. The factors influencing 28-day mortality were analyzed, and routine laboratory data were used to develop a nomogram model for predicting the risk of 28-day mortality in septic shock patients. The model was validated and assessed using the Bootstrap method, calibration curve, and receiver operator characteristic curve (ROC curve).Results:Finally, 128 patients with septic shock were enrolled, and 32 (31.07%) death within 28-day of 103 patients in the training set, 8 (32.00%) death within 28-day of 25 patients in the validation set. Logistic regression analysis showed that APACHEⅡ score [odds ratio ( OR) = 5.254, 95% confidence interval (95% CI) was 2.161-12.769], SOFA score ( OR = 4.909, 95% CI was 2.020-11.930), blood lactate ( OR = 4.419, 95% CI was 1.818-10.741), procalcitonin ( OR = 4.358, 95% CI was 1.793-10.591) were significant factors influencing 28-day mortality in septic shock patients (all P < 0.01). Taking the above influencing factors as predictors, a nomogram model was established, with a total score of 89-374, corresponding to a mortality risk of 0.07-0.89. The results of nomogram model validation showed that the C-index was 0.801 (95% CI was 0.759-0.832), and the correction curve for predicting 28-day mortality in patients with septic shock was close to the ideal curve, Hosmer-Lemeshow test showed that χ 2 = 0.263, P = 0.512. The results of the ROC curve of the training set showed that the nomogram model had a sensitivity of 78.13% (95% CI was 59.57%-90.06%), a specificity of 80.28% (95% CI was 68.80%-88.43%) and area under the curve (AUC) of 0.854 (95% CI was 0.776-0.937) in predicting 28-day mortality in patients with septic shock. The results of the validation set ROC curve showed that the nomogram model had a sensitivity of 75.00% (95% CI was 35.58%-95.55%), a specificity of 88.23% (95% CI was 62.25%-97.94%) and AUC of 0.871 (95% CI was 0.793-0.946) in predicting 28-day mortality in patients with septic shock. Conclusion:A nomogram prediction model constructed based on routine laboratory data mining can effectively predict 28-day mortality in septic shock patients, and its prediction performance is good.

Objectives:To explore the risk factors for death from ruptured acute aortic dissection during emergency treatment,construct and validate a risk prediction model for death from ruptured acute aortic dissection during emergency treatment. Methods:A total of 301 cases of acute aortic dissection patients who were admitted to Chinese Academy of Medical Sciences Fuwai Hospital from January 2018 to August 2021 were included in this study.Patients were divided into survival subgroup(n=239)and death subgroup(n=62)according to whether dissection rupture occurred in the acute stage of the disease.Univariate and multivariate analyses were performed.Logistic regression analysis was used to establish the risk prediction model.The Hosmer-Lemeshow test was conducted to assess the model's goodness of fit,and the receiver operating characteristic curve(ROC curve)was used to evaluate the model's predictive performance.A prospective validation was performed on 129 cases of acute aortic dissection patients admitted to our hospital's emergency department from September 2021 to September 2022. Results:Among the 301 cases of acute aortic dissection patients,there were 62 cases of rupture and death,with an incidence rate of 20.6%.The results of multivariate analysis showed that age(OR=1.066,95%CI:1.034-1.099),type A dissection(OR=0.045,95%CI:0.006-0.364),history of hypertension(OR=0.377,95%CI:0.167-0.850),and concomitant hypotension(OR=4.424,95%CI:1.467-13.340)were determinants of deaths.The model formula was Z=-5.624+0.064×age-0.976×history of hypertension(yes=1,no=0)-3.104×type(Type A=0,Type B=1)+1.487×concomitant hypotension(yes=1,no=0).The Hosmer-Lemeshow test result showed χ2=9.328,df=8,P=0.315,the area under the ROC curve was 0.874,sensitivity was 79.0%,specificity was 81.6%,and the maximum Youden index was 0.606.The model validation result showed that the area under the ROC curve was 0.722,sensitivity was 73.7%,specificity was 69.1%,and accuracy was 89.9%. Conclusions:Age,history of hypertension,dissection type,and combined hypotension are predictors of the risk prediction model for death from dissection rupture in patients with acute aortic dissection during emergency treatment.The model constructed in this study has good predictive performance,which can provide reference for medical staffto quickly identify high-risk patients for death from ruptured acute aortic dissection and timely predictive measures could be highlighted in indicated cases.

Protein phosphorylation modification is one of the key regulatory mechanisms in cellular signaling transduction and metabolic processes. The phosphorylation state of target proteins is regulated by specific protein kinases and phosphatases, which add or remove phosphate groups. Histidine phosphorylation (pHis) plays a crucial role in both prokaryotes and eukaryotes life activities and is linked to various pathological processes. Unlike the stable phosphorylation of proteins via phosphate ester bonds, histidine phosphorylation is linked through phosphoramide bonds, making it highly sensitive to high temperatures and low pH. This sensitivity has historically impeded progress in identifying and studying histidine phosphorylation. In recent years, the development of new techniques in phosphoproteomics and the emergence of pHis-specific antibodies have promoted the identification and functional research of pHis-modified substrates. For the first time, more than 700 pHis-modified proteins have been identified in mammalian cells, and pHis-modified substrates such as focal adhesion kinase (FAK) and phosphoglycerate mutase 1 (PGAM1) have been found to promote tumor development. This article mainly reviewed the key mechanisms and functions of histidine kinases and histidine phosphatases in regulating the histidine phosphorylation of specific substrates, and highlights their significant roles in human physiological and pathological processes, aiming to provide guidance for further research into the biological functions of histidine phosphorylation.