A 41-year-old male was presented with rapidly progression memory impairment for 2 months and episodic limb shaking for 2 weeks as the main manifestations.Physical examination showed verbal disadvantage with decreased memory,attention,comprehension,and orientation.Serum vitamin B12 levels decreased,serum anti gastric parietal cell antibodies and anti-intrinsic factor antibodies were positive.Blood analysis showed macrocytic anemia,neuropsychological scale showed functional impairment in multiple cognitive domains,electrophysiological examination showed peripheral nerve damage,cerebrospinal fluid and imaging examination showed no abnormalities.The patient was diagnosed as having vitamin B12 deficiency dementia,vitamin B12 deficiency related involuntary movement and pernicious anemia.Supplementing with B vitamins and folic acid significantly improved cognitive impairment and eliminated symptoms of limb shaking.The purpose of this case report is to enhance the understanding of clinical doctors about dementia and involunting movement caused by vitamin B12 deficiency,in order to diagnose and treat it early.

Astrocytes(AS)are the most abundant glial cells in the central nervous system and are involved in many physiological and pathological processes in the nervous system.Alterations in their phenotype are particularly important for the health of the CNS.Epigenetic mechanisms,including DNA methylation,histone modification,non-coding RNA regulation,and chromatin remodeling,are closely linked to alterations in AS proliferation,differentiation,inflammation,and other phenotypic features,but how these mechanisms function needs to be explored and summarized.By reviewing the recent advances in the role of epigenetic mechanisms in AS under various physiological and pathological states,we aim to provide new ideas for the understanding and treatment of related diseases.

Objective:To investigate the knowledge and practice of the Sixth Chinese national consensus report on the management of Helicobacter pylori ( H. pylori) infection (treament excluded) (referred to as sixth national consensus)and 2022 Chinese national clinical practice guideline on H. pylori eradication treatment (referred to as guideline) among gastroenterologists in China, so as to provide out relevant training in the future. Methods:A questionnaire was designed according to sixth national consensus and guideline, including knowledge and practice of sixth national consensus and guideline, and the detection, indications of eradication, the relationship between infection and gastrointestinal microbiota, and eradication of H. pylori. From November 1 to 30 in 2023, the questionnaire-based survey was conducted among 1 506 gastroenterologists from secondary and tertiary hospitals of 24 provinces, autonomous regions and municipalities in China with convenience sampling method using the "Questionnaire Star" online questionnaire platform and the questionnaire link was sent by WeChat. Descriptive methods were used for statistical analysis. Results:A total of 1 442 valid questionnaires were collected. The awareness rate of sixth national consensus and guideline of gastroenterologists was 83.7% (1 207/1 442), and 47.2% (680/1 442) had read the relevant content in detail. Urea breath test (97.4%, 1 404/1 442) was the most commonly used method for diagnosing current H. pylori infection, however, more than half of the physicians chose serological test (53.3%, 769/1 442) for the diagnosis of current infection. The common indications of H. pylori eradication could be identified by 84.3%(1 215/1 442) of gastroenterologists. The most well-known eradication regimen was bismuth quadruple regimen (98.5%, 1 421/1 442), while some physicians still believed that the standard triple regimen (31.8%, 459/1 442) and sequential regimen (21.9%, 316/1 442) were recommended by the guideline. A further 20.2% (291/1 442) frequently prescribed a triple regimen combined with gastric mucosal protectants and the awareness rate of high-dose dual regimen was 59.1% (852/1 442). Amoxicillin + clarithromycin (65.4%, 943/1 442) and amoxicillin+ furazolidone (20.1%, 290/1 442) were commonly used antibiotic combinations in bismuth quadruple therapy. Potassium-competitive acid blockers and double-dose proton pump inhibitors were commonly used in bismuth quadruple therapy by 45.4% (655/1 442) and 46.0% (664/1 442) of physicians, respectively. For patients with multiple failed eradications, furazolidone was the most commonly used antibiotic for re-eradication(71.7%, 1 034/1 442). Conclusion:The knowledge and practice of gastroenterologists on H. pylori infection in China deviates from the new consensus and guideline, and more publicity and training should be carried out in future to improve the ability of gastroenterologists to standardise the diagnosis and treatment of H. pylori infection.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective:To develop a prognostic prediction model for patients with colorectal cancer based on a peripheral blood cell composite score (PBCS) system.Methods:This retrospective observational study included patients who had primary colorectal cancer without distant metastasis, who did not undergo radiotherapy or chemotherapy before surgery, who did not receive leukocyte or platelet-raising therapy within 1 month before surgery, and whose postoperative pathology confirmed colorectal adenocarcinoma with complete tumor resection. Patients with severe anemia, infection, or hematologic diseases before surgery, as well as those with severe heart, lung, or other important organ diseases or concurrent malignant tumors, were excluded. In total, 1021 patients with colorectal cancer who underwent surgical treatment in the Department of Gastrointestinal Surgery of the Fourth Hospital of Hebei Medical University from April 2018 to April 2020 were retrospectively included as the training set (766 patients) and the internal validation set (255 patients). Additionally, using the same criteria, 215 patients with colorectal cancer who underwent surgical treatment in another treatment group from March 2015 to December 2020 were selected as the external validation set. The "surv_cutpoint" function in R software was used to analyze the optimal cut-off values of neutrophils, lymphocytes, and platelets, and a PBCS system was established based on the optimal cut-off values. The scoring rules of the PBCS system were as follows: Neutrophils and platelets below the optimal cut-off value = 1 point, otherwise 0 points; Lymphocytes above the optimal cut-off value = 1 point, otherwise 0 points. The scores of the three cell types were added together to obtain the PBCS. Univariate and multivariate Cox regression analyses were performed to explore the correlation between patients' clinicopathological features and prognosis, and a nomogram was constructed based on the Cox regression analysis to predict patients' prognosis. The accuracy of the nomogram prediction model was validated using the C-index, calibration curve, and decision curve analysis.Results:The optimal cut-off values for neutrophils, lymphocytes, and platelets were 4.40×10 9/L, 1.41×10 9/L, and 355×10 9/L, respectively. The patients were divided into high and low groups according to the optimal cut-off values of these cells. Survival curve analysis showed that a high lymphocyte count (training set: P=0.042, internal validation: P=0.010, external validation: P=0.029), low neutrophil count (training set: P=0.035, internal validation: P=0.001, external validation: P=0.024), and low platelet count (training set: P=0.041, internal validation: P=0.030, external validation: P=0.024) were associated with prolonged overall survival (OS), with statistically significant differences in all cases. Survival analysis of different PBCS groups showed that patients with a high PBCS had longer OS than those with a low PBCS ( P<0.05). Univariate and multivariate Cox regression analysis results showed that aspirin use history, vascular thrombus, neural invasion, CA19-9, N stage, operation time, M stage, and PBCS were independent factors affecting OS (all P<0.05). The PBCS was also an independent factor affecting disease-specific survival ( P<0.05), but not progression-free survival ( P>0.05). The above independent risk or protective factors were included in R software to construct a nomogram for predicting OS. The C-index (0.873), calibration curve, and decision curve analysis (threshold probability: 0.0%–75.2%) all indicated that the nomogram prediction model had good predictive performance for OS. Conclusion:This study demonstrates that the PBCS constructed based on preoperative peripheral blood levels of neutrophils, lymphocytes, and platelets is an independent factor associated with the prognosis of patients with colorectal cancer. The nomogram model constructed based on this score system exhibits good predictive efficacy for the prognosis of these patients.

Objective:To develop a prognostic prediction model for patients with colorectal cancer based on a peripheral blood cell composite score (PBCS) system.Methods:This retrospective observational study included patients who had primary colorectal cancer without distant metastasis, who did not undergo radiotherapy or chemotherapy before surgery, who did not receive leukocyte or platelet-raising therapy within 1 month before surgery, and whose postoperative pathology confirmed colorectal adenocarcinoma with complete tumor resection. Patients with severe anemia, infection, or hematologic diseases before surgery, as well as those with severe heart, lung, or other important organ diseases or concurrent malignant tumors, were excluded. In total, 1021 patients with colorectal cancer who underwent surgical treatment in the Department of Gastrointestinal Surgery of the Fourth Hospital of Hebei Medical University from April 2018 to April 2020 were retrospectively included as the training set (766 patients) and the internal validation set (255 patients). Additionally, using the same criteria, 215 patients with colorectal cancer who underwent surgical treatment in another treatment group from March 2015 to December 2020 were selected as the external validation set. The "surv_cutpoint" function in R software was used to analyze the optimal cut-off values of neutrophils, lymphocytes, and platelets, and a PBCS system was established based on the optimal cut-off values. The scoring rules of the PBCS system were as follows: Neutrophils and platelets below the optimal cut-off value = 1 point, otherwise 0 points; Lymphocytes above the optimal cut-off value = 1 point, otherwise 0 points. The scores of the three cell types were added together to obtain the PBCS. Univariate and multivariate Cox regression analyses were performed to explore the correlation between patients' clinicopathological features and prognosis, and a nomogram was constructed based on the Cox regression analysis to predict patients' prognosis. The accuracy of the nomogram prediction model was validated using the C-index, calibration curve, and decision curve analysis.Results:The optimal cut-off values for neutrophils, lymphocytes, and platelets were 4.40×10 9/L, 1.41×10 9/L, and 355×10 9/L, respectively. The patients were divided into high and low groups according to the optimal cut-off values of these cells. Survival curve analysis showed that a high lymphocyte count (training set: P=0.042, internal validation: P=0.010, external validation: P=0.029), low neutrophil count (training set: P=0.035, internal validation: P=0.001, external validation: P=0.024), and low platelet count (training set: P=0.041, internal validation: P=0.030, external validation: P=0.024) were associated with prolonged overall survival (OS), with statistically significant differences in all cases. Survival analysis of different PBCS groups showed that patients with a high PBCS had longer OS than those with a low PBCS ( P<0.05). Univariate and multivariate Cox regression analysis results showed that aspirin use history, vascular thrombus, neural invasion, CA19-9, N stage, operation time, M stage, and PBCS were independent factors affecting OS (all P<0.05). The PBCS was also an independent factor affecting disease-specific survival ( P<0.05), but not progression-free survival ( P>0.05). The above independent risk or protective factors were included in R software to construct a nomogram for predicting OS. The C-index (0.873), calibration curve, and decision curve analysis (threshold probability: 0.0%–75.2%) all indicated that the nomogram prediction model had good predictive performance for OS. Conclusion:This study demonstrates that the PBCS constructed based on preoperative peripheral blood levels of neutrophils, lymphocytes, and platelets is an independent factor associated with the prognosis of patients with colorectal cancer. The nomogram model constructed based on this score system exhibits good predictive efficacy for the prognosis of these patients.

Objective To retrospectively analyze the diagnostic value of thrombin-antithrombin complex(TAT),thrombomodulin(TM),and tissue plasminogen activator-inhibitor complex(t-PAIC)in severe cases of corona virus disease 2019(COVID-19).Methods A cohort of 79 patients clinically diagnosed with COVID-19 was retrospectively assembled and categorized into two groups based on disease severity:non-severe(n=51)and severe(n=28).In this study the differences of coagulation function and inflamma-tory marker levels between the two groups were compared.The correlations of TAT,TM and t-PAIC with other biomarkers were investi-gated.The diagnostic values of all the markers for severe COVID-19 were assessed.Results The patients of severe COVID-19 exhibi-ted significantly higher levels of TAT,TM,and t-PAIC compared to those of non-severe group(P＜0.001).The levels of TAT,TM and t-PAIC showed notable positive correlation with other biomarkers.TAT demonstrated the strongest positive correlation with the level of D-dimer(r=0.786,P＜0.001).Binary logistic regression analysis identified TAT(OR=1.346,P＜0.05)and t-PAIC(OR=1.128,P＜0.05)were independent risk factors in term of severe COVID-19.The combined ROC curve for TAT,TM and t-PAIC revealed high diagnostic efficacy in severe cases with the area under the curve(AUCROC)were 0.918,and the sensitivity and specificity were of 75％and 94.1％,respectively.Conclusion The results of combined measurement of TAT,TM and t-PAIC effectively demonstrates its diagnostic value in identifying severity and stratification of COVID-19 cases and may have important clinical significance for assessment of the severity and prediction of the prognosis.

Cognitive impairment is a common dysfunction after central nervous system disease or injury, which seriously affects the daily life of patients and brings heavy economic burdens to the family and society. Neurofeedback training (NFT) based on electroencephalography (EEG) is a non-invasive method of neuroregulation, which can improve cognitive function and behavior by autonomously adjusting brain function through feedback. This paper reviews the application of EEG signal-based neurofeedback training in cognitive rehabilitation, and discusses the current problems and future development trends in this field, so as to provide new ideas for clinical research and treatment of cognitive disorders.

Objective:To evaluate the effects of different psychological interventions on depression and pain in patients with arthritis using the method of network Meta-analysis.Methods:Randomized controlled trials (RCTs) on psychological interventions for arthritis patients were systematically searched in PubMed, Embase, Cochrane Library, CINAHL, Web of Science, PsycINFO, WanFang and CNKI databases. The retrieval time limit was from the establishment of databases to September 30, 2021. The literature was screened according to inclusion and exclusion criteria, and quality was assessed using the Cochrane Manual recommended RCT bias risk assessment tool. STATA 15.0 software was used for network Meta-analysis according to frequency framework.Results:A total of 59 RCTS were included, involving 8 psychological interventions and 5 726 patients. For the primary outcome of depression, at post-intervention, the ranking results showed that relaxation was the most likely to be the best intervention. However, in the comparison of different intervention effects, only cognitive behavioral therapy showed statistically significant difference compared with the control group ( P<0.05) . At follow-up, the ranking results showed that cognitive behavioral therapy was the most likely to be the best, and the difference was statistically significant compared with the control group ( P < 0.05) . After intervention, for the secondary index pain, the ranking results showed that hypnosis intervention was the most likely to be the best, but the intervention effect of relaxation intervention and cognitive behavioral therapy was statistically significant compared with the control group ( P< 0.05) . At follow-up, the ranking results showed that the best possibility of receiving commitment therapy was the highest, and the difference was statistically significant compared with the control group ( P < 0.05) . Conclusions:Cognitive behavioral therapy has the best effect on depression indicators in arthritis patients, and relaxation intervention and acceptance commitment therapy have the best effects on pain indicators after intervention and at follow-up, respectively. The potential interventions include relaxation intervention and hypnosis intervention, which are worthy of further study.

Objective:To construct the prediction model of knee degeneration in patients with knee osteoarthritis based on bioelectrical impedance index, and evaluate the prediction performance and application efficiency of the model.Methods:This was a cross-sectional study. From May to July 2021, 248 knee joints of 124 patients with knee osteoarthritis at home from Shijiazhuang Yuqiang Community Health Service Center who participated in physical examination were selected by convenience sampling to establish the model. According to Kellgren-Lawrence (K-L) grading system, the knee joints were divided into four groups, namely K-L1 ( n=19) , K-L2 ( n=103) , K-L3 ( n=96) , and K-L4 ( n=30) . The indicators included in the model were selected through analysis of variance or Kruskal-Wallis test, and a prediction model of knee degeneration was established using support vector machine, and the model was optimized using grid parameter optimization method. The prediction performance of the model was evaluated by the area under the receiver operating characteristic (ROC) curve, sensitivity, specificity, accuracy, positive predictive value and negative predictive value. Results:The indicators in the model included age, complications, lumbar/back/hip pain, high-risk occupation, Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) -pain, WOMAC-function, capacitive reactance and phase angle. The area under the ROC curve of the training set model was 0.999, the prediction accuracy was 0.920, and the 95% confidence interval was 0.868 to 0.957. The area under the ROC curve of the test set model was 0.833, the prediction accuracy was 0.682, and the 95% confidence interval was 0.572 to 0.780.Conclusions:The prediction model of knee degeneration has good prediction performance and is easy to use, which can be used as a screening tool for knee degeneration in patients with knee osteoarthritis.