Objective To construct and compare logistic regression and decision tree models for predicting systemic inflammatory response syndrome (SIRS) in patients with type B aortic dissection (TBAD) after interventional surgery. Methods A retrospective analysis was conducted on clinical data of TBAD patients at Peking University Shenzhen Hospital from 2020 to 2024. The patients were divided into a SIRS group and a non SIRS group based on whether SIRS occurred within 24 hours after surgery. Multivariate logistic regression was used to analyze the influencing factors of SIRS occurrence in TBAD intervention patients, and a decision tree model was constructed using SPSS Modeler to compare the predictive performance of the two models. Results A total of 742 patients with TBAD were included, including 579 males and 163 females, aged 27-97 (58.85±10.79) years. Within 24 hours after intervention, a total of 506 patients developed SIRS, with an incidence rate of 68.19%. Logistic regression analysis showed that the extensive involvement of the dissection, the surgical time≥2 hours, PET coated stents implanted, serum creatinine, white blood cell count, C-reactive protein, monocyte (MONO), neutrophil count levels elevated, estimated glomerular filtration rate and decreased albumin levels were independent risk factors for SIRS (P<0.05). The decision tree model selected a total of 10 explanatory variables and 6 layers with 37 nodes, among which MONO was the most important predictor. The area under the decision tree model curve was 0.829 [95%CI (0.800, 0.856)], which was better than the logistic regression model's 0.690 [95%CI (0.655, 0.723)], and the difference was statistically significant (P<0.001). Conclusion The incidence of SIRS after TBAD intervention is high, and the decision tree model has better predictive performance than logistic regression. It can identify high-risk patients with higher accuracy and provide a practical tool for early clinical intervention.

Antibody-drug conjugates (ADCs) represent a promising class of targeted cancer therapeutics that combine the specificity of monoclonal antibodies with the potency of cytotoxic payloads. Despite their therapeutic potential, the use of ADCs faces significant challenges, including off/on-target toxicity and resistance development. This review examines the current landscape of ADC development, focusing on the critical aspects of target selection and antibody engineering. We discuss strategies to increase ADC efficacy and safety, including multitarget approaches, pH-dependent antibodies, and masked peptide technologies. The importance of comprehensive antigen expression profiling in both tumor and normal tissues is emphasized, highlighting the role of advanced technologies, such as single-cell sequencing and artificial intelligence, in optimizing target selection. Furthermore, we explore combination therapies and innovations in linker‒payload chemistry, which may provide approaches for expanding the therapeutic window of ADCs. These advances pave the way for the development of more precise and effective cancer treatments, potentially extending ADC applications beyond oncology.
Humans ; Immunoconjugates/adverse effects* ; Neoplasms/immunology* ; Animals ; Antibodies, Monoclonal/therapeutic use* ; Antineoplastic Agents/therapeutic use*

Objective:To summarize the best evidence for frailty management in patients undergoing postoperative chemotherapy for gastric cancer, so as to provide reference for alleviating patient frailty.Methods:Guidelines, expert consensus, evidence summaries, systematic reviews, and randomized controlled trials and other articles on the frailty management of patients with postoperative chemotherapy for gastric cancer were electronically searched in computerized decision-making systems such as UpToDate, BMJ Best Practice, and Guidelines International Network, in comprehensive databases such as PubMed, Embase, and Web of Science, and in the websites of professional societies. The search period was from database establishment to September 15, 2024. Two researchers independently screened the literature and evaluated the quality of the included literature, combining professional judgment to extract and summarize the best evidence.Results:A total of 18 papers were included, including two clinical decisions, one evidence summary, eight guidelines, two expert consensus, one systematic review, one randomized controlled trial, two quasi-experimental studies, and one observational study. The best evidence included a total of 34 pieces in seven aspects of comprehensive screening, nursing plan construction, preoperative prehabilitation, nutritional interventions, Chinese medicine interventions, exercise interventions, and psychological interventions for frailty.Conclusions:The summary of the best evidence for frailty management in patients undergoing postoperative chemotherapy for gastric cancer may provide an evidence-based basis for frailty interventions by clinical medical and staff.

Tuberculosis is a zoonotic disease posing a substantial public health threat.Immunological diagnosis and vaccine im-munization are both necessary to control tuberculosis prevalence.However,the identical antigenic components in diagnostic reagents and vaccines hinder the use of animal vaccines and limit the specificity of clinical diagnosis in humans.Differentiating infected from vaccinated animals can overcome these problems.This article reviews the progress in differential diagnosis research from three as-pects:the diagnostic effects of antigens,methods for discovering new antigens,and screening of new host immune markers,to provide a theoretical basis for future research.

Objective:To analyze the predictive factors associated with late-onset sepsis(LOS) in very low birth weight infants,and to develop a risk prediction score scale applicable to these infants three days postnatal.This will provide valuable insights for early diagnosis and timely intervention.Methods:Very low birth weight infants admitted to the Children's Hospital of Fudan University from January 1,2022,to June 30,2024,were selected as research subjects.These infants were categorized into two groups:the LOS group and the non-LOS group,based on whether they developed LOS.LASSO regression analysis,alongside univariate and multivariate regression analyses,was employed to identify predictive factors for LOS in this population.A Logistic model was constructed using the optimal combination of predictive variables,and a risk assessment scale was subsequently developed.The prediction performance of the model was evaluated using the Hosmer-Lemeshow chi-square test and the receiver operating characteristic curve.Results:A total of 444 cases of very low birth weight infants were included,of which 185 had LOS and 259 did not.After screening the variables,seven independent factors were included into the model:birth weight,gestational age,tracheal intubation,abnormal skin color,abdominal distension,elevated C-reactive protein levels,and right hand perfusion index.A predictive scoring scale was developed based on the regression coefficients of each variable,with corresponding risk scores assigned as follows:1,4,3,2,1,1,and 2; a score of ≥3.5 indicated high-risk groups.The Hosmer-Lemeshow test results demonstrated that χ2 = 7.602( P = 0.473).The area under the receiver operating characteristic curve was 0.792 ( P<0.001),with a sensitivity of 73.5% and specificity of 71.0%. Conclusion:The risk score scale developed in this study exhibits significant predictive capability,providing valuable insights for clinical medical personnel to assess the risk of LOS in very low birth weight infants during the early postnatal period.

Tuberculosis is a zoonotic disease posing a substantial public health threat.Immunological diagnosis and vaccine im-munization are both necessary to control tuberculosis prevalence.However,the identical antigenic components in diagnostic reagents and vaccines hinder the use of animal vaccines and limit the specificity of clinical diagnosis in humans.Differentiating infected from vaccinated animals can overcome these problems.This article reviews the progress in differential diagnosis research from three as-pects:the diagnostic effects of antigens,methods for discovering new antigens,and screening of new host immune markers,to provide a theoretical basis for future research.

Purpose To evaluate the static structural changes of mitral annulus and leaflets in mitral valve prolapse via three-dimensional transesophageal echocardiography(3D-TEE),and their continuous dynamic changes during the cardiac cycle.Materials and Methods Twenty-six patients with mitral valve prolapse diagnosed by transesophageal echocardiography in Wuhan Asia Heart Hospital from June 2022 to June 2023 were retrospectively included,and 30 patients who were examined by transesophageal echocardiography in our hospital during the same period due to monitoring of patent foramen ovale or non-cardiac surgery were selected as the control group.The related parameters of the valve annulus were measured.In addition,the meaningful parameters were measured at late diastole(LD),early systole(ES),middle systole(MS)and late systole(LS),and the change rate was calculated.The static structure of mitral valve device was compared between the two groups,and the differences of various parameters at different times were analyzed.Results Compared with the control group,the annulus height(AH)and the ratio of annulus height and combined width(AHCWR)in the case group decreased,and the other parameters increased(t=-7.447-12.472,all P<0.05),but there was no statistical difference in the maximum displacement distance of the annulus between the two groups(P>0.05).Comparing the related parameters of LD,ES,MS and LS at four different time points,compared with the control group,all the parameters in the case group increased except AH and AHCWR(t=-16.224-15.683,all P<0.05).Comparing the continuous changes at four different times,the continuous changes of all parameters in the control group were statistically significant(F=7.632-323.837,all P<0.05),and there were significant differences in the parameters of the control group from LD to ES(all P<0.05).Except anterolateral to posteromedial diameter,intertrigonal diameter and annulus area,the continuous changes of other parameters in the case group were statistically significant(F=3.041-71.082,all P<0.05),and only non-planar angle,AH and AHCWR in the case group had statistical differences in LD to ES(all P<0.05).Compared with the control group,the change rate of parameters in the case group decreased,and the difference was statistically significant(t/U=-7.069-780.000,all P<0.05),and the change rate of C-ring was greater than that of intertrigonal diameter.Conclusion 3D-TEE can quantitatively analyze the dynamic changes of mitral annulus and leaflets,and analyze the continuous changes of mitral valve in cardiac cycle in detail,which can provide more accurate preoperative evaluation for patients and guide treatment.

Objective:To investigate the impact of immunosuppressive therapy on the severity of SARS-CoV-2 infection and cytokine levels in pediatric patients with kidney diseases.Methods:A retrospective analysis was conducted on the clinical data of 40 hospitalized pediatric patients who were diagnosed with SARS-CoV-2 infection at the 900th Hospital of PLA Joint Logistic Support Force from December 2022 to February 2023. Based on their immunosuppressive status prior to SARS-CoV-2 infection, these patients were categorized into immunosuppressive group and non-immunosuppressive group. Independent sample t-tests, Mann-Whitney U tests, and χ2 test were employed to compare the clinical baseline characteristics and laboratory data, the severity of SARS-CoV-2 infection, and the levels of cytokines between the 2 groups. Results:Among the 40 patients, 11 were in the immunosuppressive group (aged 13 (8, 14) years, 9 males and 2 females) and 29 in the non-immunosuppressive group (aged 2 (1, 4) years, 15 males and 14 females). In the immunosuppressive group, 2 were asymptomatic cases, 8 were mild cases, and 1 was moderate case, and there was no severe or critical cases. In the non-immunosuppressive group, 8 were mild cases, 5 were moderate, 15 were severe cases, 1 was critical case, and no asymptomatic cases. The underlying diseases in the immunosuppressive group included nephrotic syndrome (6 cases), IgA vasculitis nephritis (2 cases), lupus nephritis (1 case), post-renal transplantation (1 case), and renal failure (1 case), with a mean total immunosuppression score (TIS) of (3.6±1.4) points. In the non-immunosuppressive group, 2 patients had a history of epilepsy, and the remaining 27 cases had no underlying conditions, all with TIS scores of 0. Compared to the children in the non-immunosuppressive group, those in the immunosuppressive group were more likely to exhibit asymptomatic or mild infection, with lower risks of severe disease, cytokine storm, fever, and cough, but a higher risk of fatigue ( OR=1.22, 2.66, 0.48, 0.12, 0.12, 0.13, 1.22; 95% CI 0.93-1.62, 0.99-7.15, 0.33-0.70, 0.03-0.57, 0.03-0.57, 0.03-0.65, 0.93-1.62; all P<0.05). The levels of cytokine IL-6, interferon-α and interferon-γ in the immunosuppressive group were all lower than those in the non-immunosuppressive group ( Z=2.23, 2.51, 2.92, respectively; all P<0.05). Conclusion:Pediatric patients with kidney diseases receiving appropriate immunosuppressive therapy may mitigate the severity of SARS-CoV-2 infection by suppressing the expression of cytokines.

Objective To explore factors affecting blood pressure control in chronic disease patients in China's na-tional basic public health service chronic disease patient management program and to find their relationships with Bayesian network(BN)model,in order to provide a scientific basis for comprehensive hypertension management.Methods 5 577 Hypertensive patients were selected from eight provinces(including autonomous regions)covering eastern,central and western parts of China during a survey from 2021 to 2022.Researchers collected individual and community-management data to screen influencing factors by Logistic regression,and to describe factor dependencies and to identify key determinants of blood pressure control with BN in.blood pressure control.Results Logistic regression revealed that urban/rural status,education,alcohol use,exercise,overweight/obesity and com-munity-doctor advice on salt reduction,smoking cessation were significantly associated with blood pressure control(P＜0.05).The BN model identified 22 directed edges showing that urban residence and good hypertension knowl-edge were more correlated with better control,while community-doctor management and services directly affected patient lifestyle habits but not blood pressure control.Conclusions Research should focus more on urban-rural dis-parities and hypertension education.Additionally,improving patient habits and community-doctor services is essen-tial for better blood pressure control.