The importance of consensus research in medical decision-making has become increasinglyprominent. However, this field has long lacked unified terminology definitions and reporting standards, leading to significant heterogeneity in study design, implementation, and result presentation that affects the credibility and reproducibility of outcomes. The ACCurate COnsensus Reporting Document (ACCORD) in the field of biomedical research provides a structured writing framework for various consensus methods such as the Delphi method and nominal group technique, aiming to enhance the completeness and transparency of study reports. Combined with specific cases, this article interprets the core items of ACCORD, offering references for the design, implementation, and reporting of high-quality consensus research in China.

To systematically analyzed the reporting status of core elements in publicly available clinical practice guideline(hereafter referred to as "guideline") protocols published domestically and internationally over the past decade, identified existing problems, and provided evidence to inform the standardized writing and publication of future guideline protocols.

Objective:To investigate the predictive value of computed tomography(CT) based radiomics model for the prognosis of patients with pancreatic ductal adenocarcinoma(PDAC).Methods:The retrospective cohort study was conducted. The clinicopathological data of 206 PDAC patients who were admitted to Zhongshan Hospital of Fudan University from August 2018 to December 2020 were collected. There were 115 males and 91 females, aged (64±9)years. All 206 pati-ents underwent enhanced CT examination. Based on radom number table, the 206 patients were randomly divided into a training set of 165 cases and a validation set of 41 cases with a ratio of 4∶1. The training set was used to construct the prediction model, and the test set was used to validate the performance of the prediction model. Observation indicators: (1) follow-up; (2) analysis of prognostic factors of PDAC patients in the training set; (3) construction and evaluation of prediction model for prognosis of PDAC patients. Comparison of measurement data with normal distribution between groups was conducted using the t test. Comparison of measurement data with skewed distribution between groups was conducted using the Wilcoxon W test. Comparison of count data between groups was conducted using the chi-square test or corrected chi-square test. The Kaplan-Meier method was used to calculate the survival rate and Log-rank test was used for survival analysis. Univariate and multivariate analyses were conducted using the COX regression model. The PyCharm software was used for the least absolute shrinkage and selection operator method (LASSO)-COX regression analysis. The receiver operating characteristic curve was plotted to evaluate the performance of radiomics model. Results:(1)Follow-up. Of the 206 patients,205 cases were followed up for 17.1(range, 12.0?40.1)months. The postoperative 1-, 2-, 3-year survival rates were 80.10%, 29.61% and 4.85%. (2) Analysis of prognostic factors for PDAC patients in the training dataset. Results of multivariate analysis showed that pathological N stage was an independent influencing factor for prognosis of PDAC patients in the training set ( hazard ratio=1.476, 95% confidence interval as 1.054?2.067, P<0.05). (3) Construction and evaluation of prediction model for prognosis of PDAC patients. A total of 1 595 radiomics features were finally extracted from the 206 patients. By intra-group feature selection and dimensionality reduction using LASSO-COX regression model, 10 radiomics features were obtained. Combined with 10 radiomics features and 11 clinical features, using the LASSO-COX regression analysis, 15 features were finally extracted to construct the CT based radiomics model for predicting prognosis of PDAC. The areas under receiver operating characteristic curve of the prediction model in predicting 2-year and 3-year overall survival rates of PDAC patients in the training set were 0.834 (95% confidence interval as 0.777?0.891) and 0.883 (95% confidence interval as 0.834?0.932), respectively. The area under curve of the prediction model for patients in the validation set was 0.606 (95% confidence interval as 0.456?0.756) and 0.625 (95% confidence interval as 0.477?0.773). Conclusion:The prediction model constructed on CT based radiomics features and clinical features for predicting the prognosis of PDAC patients shows a promising prediction efficiency.

Objective:To investigate the trajectory of frailty in elderly patients on maintenance hemodialysis(MHD)following SARS-CoV-2 infection and its associated risk factors.Methods:This prospective cohort study focused on elderly patients who underwent baseline frailty assessment(T0)during hemodialysis treatment at Beijing Friendship Hospital for over 3 months between December 1st, 2022, and December 31th, 2022, and were diagnosed with SARS-CoV-2 infection.The Fried Frailty Phenotype was evaluated at 1 month(T1), 3 months(T2), and 6 months(T3)post-infection.Frailty trajectory after infection was analyzed using repeated measurement ANOVA.Patients were divided into stable/improvement or exacerbation groups based on their frailty status at T0 and T3, with logistic regression analysis employed to identify risk factors for different frailty trajectories.Results:A total of 130 elderly maintenance hemodialysis patients, with a median age of 66 years(range: 63-71 years)and 62 males(47.7%), were included in the study.Six months after the infection, a majority of surviving patients saw their frailty scores return to baseline levels.Specifically, 72 patients(55.4%)either maintained or improved to robust or pre-frail states, while 9 patients(6.9%)progressed to a pre-frail state, 18 patients(13.8%)progressed to a frail state, and 31 patients(23.8%)remained in a frail state.Results from multivariate logistic regression analysis indicated that low grip strength( OR: 6.30, 95% CI: 1.48-26.73)and all-cause hospitalization( OR: 5.01, 95% CI: 1.19-21.03)were identified as risk factors for non-frail patients transitioning to frailty( P<0.05). Conclusions:The majority of elderly maintenance hemodialysis patients who survived SARS-CoV-2 infection returned to their baseline level of frailty or showed improvement within 6 months.Non-frail patients with low grip strength or those who were hospitalized were more likely to deteriorate towards frailty.

Objective:To investigate the trajectory of frailty in elderly patients on maintenance hemodialysis(MHD)following SARS-CoV-2 infection and its associated risk factors.Methods:This prospective cohort study focused on elderly patients who underwent baseline frailty assessment(T0)during hemodialysis treatment at Beijing Friendship Hospital for over 3 months between December 1st, 2022, and December 31th, 2022, and were diagnosed with SARS-CoV-2 infection.The Fried Frailty Phenotype was evaluated at 1 month(T1), 3 months(T2), and 6 months(T3)post-infection.Frailty trajectory after infection was analyzed using repeated measurement ANOVA.Patients were divided into stable/improvement or exacerbation groups based on their frailty status at T0 and T3, with logistic regression analysis employed to identify risk factors for different frailty trajectories.Results:A total of 130 elderly maintenance hemodialysis patients, with a median age of 66 years(range: 63-71 years)and 62 males(47.7%), were included in the study.Six months after the infection, a majority of surviving patients saw their frailty scores return to baseline levels.Specifically, 72 patients(55.4%)either maintained or improved to robust or pre-frail states, while 9 patients(6.9%)progressed to a pre-frail state, 18 patients(13.8%)progressed to a frail state, and 31 patients(23.8%)remained in a frail state.Results from multivariate logistic regression analysis indicated that low grip strength( OR: 6.30, 95% CI: 1.48-26.73)and all-cause hospitalization( OR: 5.01, 95% CI: 1.19-21.03)were identified as risk factors for non-frail patients transitioning to frailty( P<0.05). Conclusions:The majority of elderly maintenance hemodialysis patients who survived SARS-CoV-2 infection returned to their baseline level of frailty or showed improvement within 6 months.Non-frail patients with low grip strength or those who were hospitalized were more likely to deteriorate towards frailty.

OBJECTIVE To investigate the distribution and drug resistance of multidrug-resistant bacteria in the neonatal intensive care unit of a three-A children's hospital in Henan Province,and to provide reference for ational drug use in clinical practice.METHODS Clinical specimens from hospitalized newborns in neonatal intensive care unit from a three-A children's hospital from Jan.1,2019 to Dec.31,2023 were subjected to etiological exam-ination and drug sensitivity test,and to analyze the distribution and drug resistance of multidrug-resistant bacteri-a in hospitalized newborns.RESULTS During the 5-year period,1139 strains of multidrug-resistant bacteria were i-solated,including 229 gram-positive bacteria(20.11％)and 910 gram-negative bacteria(79.89％).There were 92 strains of methicillin-resistant Staphylococcus aureus(MRSA)(accounting for 8.08％),57 strains(accounting for 5.00％)of methicillin-resistant coagulase-negative Staphylococcus epidermidis and 28 strains(accounting for 2.46％)of methicillin-resistant coagulase-negative human Staphylococcus.370 strains(accounting for 32.48)of carbapenem-resistant Klebsiella pneumoniae(CRKP),268 strains(accounting for 23.53％)of extenspectrum β-lactamase-producing Escherichia coli and 85 strains(accounting for 7.46％)of K.pneumoniae,there were 767 sputum specimens(67.34％),160 blood specimens from peripheral intravenous puncture and central venous cath-eterization(PICC)(14.05％),63 bronchoalveolar lavage fluid specimens(5.53％),29 secretion specimens(eye and wound secretions)(2.54％),and 120 other specimens(10.54％).K.pneumoniae and E.coli producing su-per-broad spectrum β-lactamase,CRKP and MRSA were the main drug-resistant bacteria.CONCLUSION The sit-uation of drug resistance in neonatal intensive care unit is serious,therefore monitoring bacterial resistance should be strengthened according to the clinical laboratory results,and antibiotics should be applied rationally.

Objective:To investigate the predictive value of computed tomography(CT) based radiomics model for the prognosis of patients with pancreatic ductal adenocarcinoma(PDAC).Methods:The retrospective cohort study was conducted. The clinicopathological data of 206 PDAC patients who were admitted to Zhongshan Hospital of Fudan University from August 2018 to December 2020 were collected. There were 115 males and 91 females, aged (64±9)years. All 206 pati-ents underwent enhanced CT examination. Based on radom number table, the 206 patients were randomly divided into a training set of 165 cases and a validation set of 41 cases with a ratio of 4∶1. The training set was used to construct the prediction model, and the test set was used to validate the performance of the prediction model. Observation indicators: (1) follow-up; (2) analysis of prognostic factors of PDAC patients in the training set; (3) construction and evaluation of prediction model for prognosis of PDAC patients. Comparison of measurement data with normal distribution between groups was conducted using the t test. Comparison of measurement data with skewed distribution between groups was conducted using the Wilcoxon W test. Comparison of count data between groups was conducted using the chi-square test or corrected chi-square test. The Kaplan-Meier method was used to calculate the survival rate and Log-rank test was used for survival analysis. Univariate and multivariate analyses were conducted using the COX regression model. The PyCharm software was used for the least absolute shrinkage and selection operator method (LASSO)-COX regression analysis. The receiver operating characteristic curve was plotted to evaluate the performance of radiomics model. Results:(1)Follow-up. Of the 206 patients,205 cases were followed up for 17.1(range, 12.0?40.1)months. The postoperative 1-, 2-, 3-year survival rates were 80.10%, 29.61% and 4.85%. (2) Analysis of prognostic factors for PDAC patients in the training dataset. Results of multivariate analysis showed that pathological N stage was an independent influencing factor for prognosis of PDAC patients in the training set ( hazard ratio=1.476, 95% confidence interval as 1.054?2.067, P<0.05). (3) Construction and evaluation of prediction model for prognosis of PDAC patients. A total of 1 595 radiomics features were finally extracted from the 206 patients. By intra-group feature selection and dimensionality reduction using LASSO-COX regression model, 10 radiomics features were obtained. Combined with 10 radiomics features and 11 clinical features, using the LASSO-COX regression analysis, 15 features were finally extracted to construct the CT based radiomics model for predicting prognosis of PDAC. The areas under receiver operating characteristic curve of the prediction model in predicting 2-year and 3-year overall survival rates of PDAC patients in the training set were 0.834 (95% confidence interval as 0.777?0.891) and 0.883 (95% confidence interval as 0.834?0.932), respectively. The area under curve of the prediction model for patients in the validation set was 0.606 (95% confidence interval as 0.456?0.756) and 0.625 (95% confidence interval as 0.477?0.773). Conclusion:The prediction model constructed on CT based radiomics features and clinical features for predicting the prognosis of PDAC patients shows a promising prediction efficiency.

Objective To observe the effect of a heavy load exercise on the ultrastructure,function and fission of skeletal muscle mitochondria in rats,and to analyze the changes of the phosphorylation expression of mitochondrial fission protein and upstream kinase at different times postexercise,and to explore the effect of acute heavy load exercise on mitochondrial fission in skeletal muscle of rats and its possible mechanism.Methods Forty-eight adult male Sprague-Dawley rats were randomly divided in-to a quiet control group(C,n=8)and an exercise group(E,n=40).Rats in the E group exercised on a treadmill down a 16° decline at 16 m/min for 90 min and were further divided into 0 h,12 h,24 h,48 h,and 72 h postexercise subgroups.Soleus muscle was isolated and mitochondria were ex-tracted at the corresponding time points after exercise.The ultrastructure of mitochondria in the soleus muscle was observed using transmission electron microscopy,and mitochondrial quantity and morphomet-ric analysis were conducted.Moreover,the colocalization and quantity of dynamin-related protein 1(Drp1)and cytochrome C oxidease subunit Ⅳ(COXⅣ)in the soleus muscle were detected using im-munofluorescence double-labeling techniques.Meanwhile,protein levels of soleus musclep-Drp1Ser616,p-Drp1Ser637,p-extracellular regulatory protein kinaseThr202/Tyr204(p-ERKThr202/Tyr204),p-protein kinaseAThr197(p-PKAThr197),and mitochondrial NADH of ubiquinone oxidoreductase subunit B8(NDUFB8)and ubiqui-nol-cytochrome C reductase core protein 2(UQCRC2)were determined by using Western blotting.An-other twenty-four rats were randomly divided into a DMSO group(CD),a U0126 group(CU),an Ex-ercise+DMSO group(ED),and an Exercise+U0126 group(EU).Six mice in each group were giv-en a single intra-bitoneal injection of DMSO or ERK inhibitor U0126 20 min before acute downhill running.Then,their phosphorylated expressions of ERKThr202/Tyr204 and Drp1Ser616 in soleus muscle were de-tected by Western blotting.Results(1)From 0 h to 48 h after exercise,the soleus muscle mitochon-dria showed swelling,rounding,and uneven distribution of mitochondria,among which the degree of mitochondrial damage was the most serious at 12 h and 24 h after exercise.Moreover,the protein ex-pression of NDUFB8 and UQCRC2 in the mitochondria fractions from soleus muscle was significantly lower at 12 h post-exercise(P<0.05).(2)The co-localization of Drp1 and COXⅣ in the skeletal muscle increased significantly at 12 h to 24 h after a heavy load exercise compared with group C and group E0(P<0.01).Moreover,the mitochondrial area,circumference,aspect ratio and Ferret diameter in the skeletal muscle were significantly lower at 12 h to 24 h postexercise(P<0.05).Meanwhile,the number of mitochondria was significantly higher at 24 h after exercise(P<0.01).(3)The phosphoryla-tion of ERKThr202/Tyr204,PKAThr197 and Drp1Ser616 was significantly higher at 24 h after exercise(P<0.01),while that of Drp1Ser637 was significantly lower at 48 h and 72 h post-exercise(P<0.01).However,the phosphorylated expressions of ERKThr202/Tyr204 and Drp1Ser616 were significantly down-regulated by U0126 treatment before exercise.Conclusion A session of heavy load exercise caused mitochondrial structure and function damage and induced mitochondrial fission in the skeletal muscle,and then to maintain the homeostasis of skeletal muscle cells by cleaving damaged mitochondria.The mechanism of promot-ing skeletal muscle repair may be related to the positive and negative regulation of Drp1 activity by the phosphorylation of Drp1Ser616 and Drp1Ser637,respectively.Among them,the activation of ERKThr202/Tyr204 mediates the phosphorylation activation of Drp1Ser616,but PKAThr197 is not an upstream kinase that medi-ates the inactivation of Drp1Ser637 phosphorylation.

Despite the remarkable clinical efficacy achieved by immune checkpoint blockade(ICB)and adoptive T cell therapy,the majority of patients with solid tumors still fail to achieve long-term responses to immunotherapy.One important reason is the complex metabolic patterns and inhibitory signals within the tumor microenvironment(TME),which induce metabolic reprogramming in immune cells and thereby impair their anti-tumor efficacy.This review summarizes the metabolic preferences of CD8+T cells across various differentiation states,explores the metabolic changes that occur during their interaction with tumor cells and the TME,and discusses how these metabolic changes affect differentiation,function,and stemness of CD8+T cells.Additionally,strategies that target metabolic molecules or pathways are highlighted to enhance the antitumor ability of CD8+T cells,thereby improving the efficacy of chimeric antigen receptor gene-modified T lymphocyte(CAR-T cell)immunotherapy and ICB therapy.

Aim To explore the impact and mechanism of proprotein convertase subtilisin kexin 9(PCSK9)on the progression of abdominal aortic aneurysm(AAA).Methods 6～8 week old ApoE-/-mice were selected to estab-lish the AAA model.Angiotensin Ⅱ(Ang Ⅱ)was continuously infused through subcutaneous implantation of a micro-os-motic pump.The mice were fed with high-fat diet and killed after 28 days.The expression of PCSK9 in abdominal aor-tic smooth muscle cells was detected by immunohistochemistry and immunofluorescence in normal abdominal aortic blood vessels and AAA samples in human and mice.Primary cultured murine vascular smooth muscle cells(mVSMC)of C57BL/6 mice were treated with different concentrations of AngⅡ for 24 h,and the expression of PCSK9 mRNA and pro-tein was detected.PCSK9 overexpression and knockdown cell models were established,and mitochondrial reactive oxygen species(mtROS),mitochondrial membrane potential(MMP),mitochondrial permeability transition pore(MPTP)open-ing,and Z-DNA binding protein 1(ZBP1)protein expression were detected.Bioinformatics was used to analyze the dif-ferential expression of multiple single-cell sequencing datasets to obtain the key differentially expressed genes,and to study their expression and role in AAA.Results Immunohistochemistry and immunofluorescence results showed that PCSK9 expression in human and mouse AAA increased(P＜0.01),and co-localized with smooth muscle.Ang Ⅱ promoted PCSK9 expression in mVSMC in a concentration-dependent manner,the 2.0 μmol/L Ang Ⅱ group showed a 2.9-fold and 1.1-fold increase in the expression of PCSK9 mRNA and protein,respectively(P＜0.01),with the most significant effect observed.After successfully constructing PCSK9 overexpression and PCSK9 interference mVSMC models,PCSK9 overex-pression led to an increase in intracellular mtROS,a decrease in MMP,an increase in MPTP opening,and a decrease in cellular activity(P＜0.01);PCSK9 knockdown could reduce Ang Ⅱ induced increase in mtROS,decrease in MMP and MPTP opening;compared with the siNC+Ang Ⅱ group,the siPCSK9+Ang Ⅱ group showed a decrease in mtROS and an in-crease in the fluorescence brightness of MMP and MPTP(P＜0.05).Bioinformatics analysis revealed that ZBP1 was a core differentially expressed gene in AAA.Immunohistochemistry and immunofluorescence results showed that ZBP1 ex-pression in human and mouse AAA tissues increased,and co-localized with smooth muscle.Western blot results showed that PCSK9 overexpression or treatment with 2.0 μmol/L Ang Ⅱ could increase ZBP1 protein expression(P＜0.01),while PCSK9 knockdown could alleviate the increased ZBP1 expression caused by AngⅡ(P＜0.05).Conclusion PCSK9 may induce mitochondrial damage in smooth muscle cells,activate downstream molecule ZBP1 to cause cell damage,and promote the development of AAA.