Purpose: We used bioinformatics methods and Mendelian randomization (MR) analysis to investigate the hub genes involved in acute myeloid leukemia (AML) and their causal relationship with hemolysis, to explore a new direction for molecular biology research of AML. Methods: We first differentially analyzed peripheral blood samples from 62 healthy volunteers and 65 patients with AML from the Gene Expression Omnibus database to obtain differentially expressed genes (DEGs), and intersected them with genes sourced from weighted gene co-expression network analysis (WGCNA) and the GeneCards database to obtain target genes. Target genes were screened using protein–protein interaction (PPI) network analysis and ROC curves to identify genes associated with AML. Finally, we analyzed the correlation between genes and immune cells and the relationship between toll-like receptor 4 (TLR4) and AML using MR. Results: We compared peripheral blood expression profiles using an array of 62 healthy volunteers (GSE164191) and 65 patients with AML (GSE89565) (M0:25; M1:11; M2:10; M3:1; M4:7; M4 eo t [16;16] ou inv [16]:4; M5:6; M6:1) and obtained 7,339 DEGs (3,733 upregulated and 3,606 downregulated). We intersected these DEGs with 4,724 genes from WGCNA and 1,330 genes related to hemolysis that were identified in the GeneCards database to obtain 190 target genes. After further screening these genes using the PPI network, we identified TLR4, PTPRC, FCGR3B, STAT1, and APOE, which are closely associated with hemolysis in patients with AML. Finally, we found a causal relationship between TLR4 and AML occurrence using MR analysis (p < 0.05). Conclusion We constructed a WGCNA-based co-expression network and identified hemolysis-associated AML genes.

Purpose: We used bioinformatics methods and Mendelian randomization (MR) analysis to investigate the hub genes involved in acute myeloid leukemia (AML) and their causal relationship with hemolysis, to explore a new direction for molecular biology research of AML. Methods: We first differentially analyzed peripheral blood samples from 62 healthy volunteers and 65 patients with AML from the Gene Expression Omnibus database to obtain differentially expressed genes (DEGs), and intersected them with genes sourced from weighted gene co-expression network analysis (WGCNA) and the GeneCards database to obtain target genes. Target genes were screened using protein–protein interaction (PPI) network analysis and ROC curves to identify genes associated with AML. Finally, we analyzed the correlation between genes and immune cells and the relationship between toll-like receptor 4 (TLR4) and AML using MR. Results: We compared peripheral blood expression profiles using an array of 62 healthy volunteers (GSE164191) and 65 patients with AML (GSE89565) (M0:25; M1:11; M2:10; M3:1; M4:7; M4 eo t [16;16] ou inv [16]:4; M5:6; M6:1) and obtained 7,339 DEGs (3,733 upregulated and 3,606 downregulated). We intersected these DEGs with 4,724 genes from WGCNA and 1,330 genes related to hemolysis that were identified in the GeneCards database to obtain 190 target genes. After further screening these genes using the PPI network, we identified TLR4, PTPRC, FCGR3B, STAT1, and APOE, which are closely associated with hemolysis in patients with AML. Finally, we found a causal relationship between TLR4 and AML occurrence using MR analysis (p < 0.05). Conclusion We constructed a WGCNA-based co-expression network and identified hemolysis-associated AML genes.

Purpose: We used bioinformatics methods and Mendelian randomization (MR) analysis to investigate the hub genes involved in acute myeloid leukemia (AML) and their causal relationship with hemolysis, to explore a new direction for molecular biology research of AML. Methods: We first differentially analyzed peripheral blood samples from 62 healthy volunteers and 65 patients with AML from the Gene Expression Omnibus database to obtain differentially expressed genes (DEGs), and intersected them with genes sourced from weighted gene co-expression network analysis (WGCNA) and the GeneCards database to obtain target genes. Target genes were screened using protein–protein interaction (PPI) network analysis and ROC curves to identify genes associated with AML. Finally, we analyzed the correlation between genes and immune cells and the relationship between toll-like receptor 4 (TLR4) and AML using MR. Results: We compared peripheral blood expression profiles using an array of 62 healthy volunteers (GSE164191) and 65 patients with AML (GSE89565) (M0:25; M1:11; M2:10; M3:1; M4:7; M4 eo t [16;16] ou inv [16]:4; M5:6; M6:1) and obtained 7,339 DEGs (3,733 upregulated and 3,606 downregulated). We intersected these DEGs with 4,724 genes from WGCNA and 1,330 genes related to hemolysis that were identified in the GeneCards database to obtain 190 target genes. After further screening these genes using the PPI network, we identified TLR4, PTPRC, FCGR3B, STAT1, and APOE, which are closely associated with hemolysis in patients with AML. Finally, we found a causal relationship between TLR4 and AML occurrence using MR analysis (p < 0.05). Conclusion We constructed a WGCNA-based co-expression network and identified hemolysis-associated AML genes.

Objective: To retrospectively compare the impact of different intraoperative transfusion strategies for platelets and cryoprecipitate on perioperative blood usage and clinical outcomes in patients undergoing orthotopic heart transplant (OHT), thereby providing a reference for perioperative patient blood management. Methods: The clinical data of 65 patients who had undergone OHT at our hospital between 2020 and 2025 were retrospective collected. Patient demographics, underlying chronic conditions, and perioperative (preoperative, intraoperative, and postoperative) laboratory blood test results were analyzed. The transfusion volumes of intraoperative red blood cells, plasma, platelets, and cryoprecipitate were examined. Univariate and multivariate logistic regression models were employed to identify factors associated with perioperative outcomes. Results: A total of 65 patients received allogeneic blood transfusion during the perioperative period. The ultilization of intraoperative platelets and cryoprecipitate was as follows: simultaneous transfusion of both platelets and cryoprecipitate (at a 1∶1 ratio) was administered in 42 patients (64.62%), platelets alone in 12 patients (18.46%), and cryoprecipitate alone in 11 patients (16.92%). Patients who received simultaneous transfusion of platelets and cryoprecipitate (1∶1) (n=42) had a shorter ICU length of stay (32.45±10.18 d), while those who received either platelets or cryoprecipitate alone (n=23) had a significantly longer ICU length of stay (68±15.97 d). Patients receiving simultaneous intraoperative transfusion of platelets and cryoprecipitate also required fewer units of allogeneic red blood cells intraoperatively (median=4 units) and had a lower mortality rate (16.7%) than those receiving either product alone (26.1%), with a statistically significant difference (P=0.023). Multivariate logistic regression analysis indicated that the volume of cryoprecipitate transfused was an independent protective factor against postoperative allogeneic red blood cell transfusion (OR=0.344, 95% CI [0.177, 0.829], P=0.0159). Multivariate logistic regression also identified cryoprecipitate transfusion volume as an independent protective factor for ICU length of stay (OR=0.877, 95% CI [0.719, 0.986], P=0.0008), which was in line with the multivariate Cox regression results. Conclusion: In patients undergoing OHT, the intraoperative transfusion strategy for platelets and cryoprecipitate influences the volume of perioperative allogeneic red blood cell transfusion and patient mortality. Intraoperative cryoprecipitate transfusion volume is an independent protective factor against both postoperative allogeneic red blood cell transfusion and prolonged ICU length of stay. The establishment of a multidisciplinary collaborative blood management model, combined with the modification of perioperative blood utilization practices and the implementation of a comprehensive patient blood management strategy, can holistically ensure perioperative patient safety.

Objective: To evaluate the safety and efficacy of the emergency infusion protocol for universal red blood cells by analyzing its clinical application in patients treated at our hospital's war trauma and emergency center. Methods: Data were collected from 133 patients who received universal red blood cell transfusion in the war trauma center of our hospital from January 2016 to December 2024. The basic information, universal red blood cell transfusion volume, compatible blood components, transfusion volume, blood routine (Hb, Hct), liver and kidney function (ALT, AST, TBil, DBil, creatinine, etc.) and coagulation function (PT, APTT, Fib, etc.) before and after transfusion were retrospectively analyzed. Results: Among the 133 patients who received a total of 374 units of universal red blood cells, the 24-hour survival rate was 62.4% (83/133). Spearman correlation analysis showed a positive correlation between shock index and universal red blood cell transfusion volume (r=0.283, P<0.05). Patients were stratified by universal red blood cell transfusion volume (≤ 3 U vs ≥ 4 U). The low volume group had less homotypic red blood cell transfusion volume and total transfusion volume at different time points, and the difference was statistically significant: within 2 h [2(2, 4)vs 4(3, 7), P=0.033<0.05], 0~24 h [6(4, 9) vs 8(6, 14), P=0.028<0.05], total transfusion volume [13(8, 20)vs 19(12, 35), P=0.021<0.05]. No acute hemolytic transfusion reaction occurred within 24 hours after transfusion of universal red blood cell. Conclusion: Universal red blood cells are safe for use in emergency treatment. Furthermore, the shock index combined with the volume of universal red blood cells transfused can predict subsequent transfusion requirements and enables the early reservation of compatible blood, thereby preventing delayed resuscitation.

Objective To investigate the clinicopathological characteristics and prognosis of well-differentiated rectal neuroendocrine tumor(RNET).Methods A retrospective analysis was conducted using the clinical data from 83 patients with well-differentiated RNET from August 2017 to December 2021,including clinical manifestations,endoscopy,endoscopic treatment,postoperative complications,postoperative pathology,follow-up and prognosis.Pathological results according to the 2019 World Health Organization(WHO)Classification of digestive system tumors,83 patients were divided into G1 stage group(72 cases)and G2 stage group(11 cases);Based on the number of tumors in the patient,83 patients were divided into two groups:single RNET group(77 cases)and multiple RNET group(6 cases),the expressions of chromogranin A(CgA),synapsin(Syn)and CD56 were compared among different groups.Results Based on pathological findings in the group,G1 stage group CgA positive rate was significantly higher than that of G2 stage group,the difference was statistically significant(χ2 = 4.23,P = 0.040);Based on the number of tumors,multiple RNET group CgA positive rate was significantly higher than that of single RNET group,the difference was statistically significant(χ2 = 5.74,P = 0.017).It was no significant difference in Syn and CD56 between the two groups(P＞0.050).Conclusion Well-differentiated RNET has no specific clinical manifestations.It is mostly isolated in G1 stage and single RNET.ESD is safe and has a good prognosis,the positive rate of CgA is higher in G1 stage patients,and the positive rate of CgA is higher in patients with multiple RNET.

Objective:To investigate the efficacy and safety of ixazomib-based therapy for multiple myeloma.Methods:The data of 32 patients with multiple myeloma treated with isazomib-based regimen in the Affiliated Hospital of Jining Medical University from December 2020 to December 2021 were retrospectively analyzed. Among 32 patients, 17 cases were relapsed/refractory, and the remaining 15 cases had initial treatment. The treatment regimens included ID (isazomib + dexamethasone), IRD (isazomib + lenalidomide + dexamethasone) and ICD (isazomib + cyclophosphamide + dexamethasone). The short-term curative effect and adverse reactions of relapsed/refractory patients and patients at initial onset were analyzed.Results:The overall response rate (ORR) of relapsed/refractory patients was 52.9% (9/17), of which 6 cases achieved complete remission (CR), 2 cases achieved very good partial remission (VGPR) and 1 case achieved partial remission (PR). The ORR of refractory patients receiving bortezomib therapy was 40.0% (4/10). The ORR of patients at initial onset who could be evaluated the curative effect was 100.0% (14/14), including 9 cases of CR, 2 cases of VGPR and 3 cases of PR. After treatment, 2 patients (6.2%) had grade Ⅲ-Ⅳ adverse events (1 case of herpes zoster and 1 case of thrombocytopenia), and none of the patients had grade Ⅲ-Ⅳ peripheral neuropathy.Conclusion:Isazomib is effective and safe in the treatment of initially treated and relapsed/refractory multiple myeloma.

Objective:To investigate the construction and operation of research wards in tertiary medical institutions in Guangzhou, and to put forward suggestions for promoting the construction of research wards.Methods:From May to June 2020, an online questionnaire was distributed to tertiary medical institutions in Guangzhou to investigate the construction of research wards, and the questionnaires were collected for statistical analysis.Results:A total of 58 medical institutions completed the questionnaire survey, and 33 of them obtained GCP qualification. Eighteen medical institutions had established research ward, of which 16 were in operation, with 6-226 beds. The research wards of 14 medical institutions were used for phase I clinical trials of innovative drugs and consistency evaluation of generic drugs; 17 medical institutions were equipped with full-time research teams; 17 medical institutions had two or more basic research platforms.Conclusions:The number of medical institutions that have established research wards in Guangzhou is small, the functional positioning is limited, and the allocation of full-time researchers is insufficient. The supporting and auxiliary conditions need to be strengthened. Promoting research wards still faces some challenges.

Objective:To investigate the clinical efficacy of autologous peripheral blood hematopoietic stem cell transplantation (HSCT) in treatment of lymphoma.Methods:The clinical data of 41 lymphoma patients undergoing autologous peripheral blood HSCT at the Affiliated Hospital of Jining Medical University between January 2014 to December 2020 were retrospectively analyzed. There were 6 cases of Hodgkin lymphoma and 35 cases of non-Hodgkin lymphoma. The mobilization regimens included chemotherapy drugs + granulocyte colony-stimulating factor (G-CSF) + thrombopoietin (TPO) or chemotherapy drugs + G-CSF. The pre-conditioning schemes before transplantation were listed as follows: BEAM (mustine + cytarabine + etoposide + melphalan) regimen + decitabine in 26 patients, BEAM regimen in 12 patients, BEAM regimen + chidamide in 3 patients. The progression-free survival (PFS), overall survival (OS), related complications, prognoses after transplantation were observed. The effects of clinical staging, B symptom,International Prognostic Score Index (IPI), extranodal involved sites, hemoglobin (Hb), lactic dehydrogenase (LDH), β 2-microglobulin (β 2-MG), transplantation regimen and the status before transplantation on PFS and OS after transplantation were evaluated. Results:Among 41 patients, 37 patients (90.24%) achieved complete remission (CR), 2 patients (4.88%) achieved partial remission (PR) and 2 patients loss assessment data (4.88%) before autologous peripheral blood HSCT. The median karyocyte count was 12.74×10 8 /kg [(3.91-22.68)×10 8/kg] in 24 patients with the complete data of stem cell collection, the median CD34 positive cell count was 6.74×10 6/kg [(0.91-50.47)×10 6/kg]. All 41 patients had hematologic reconstruction. The median time of platelet implantation was 11 d (7-32 d) and the median time of granulocyte implantation was 9 d (8-16 d). All patients achieved CR after transplantation and no one case had transplantation-related death. By the end of follow-up, 33 cases (80.49%) had no progression of disease, 8 cases (19.51%) died. The OS rates of 12-month, 24-month and 72-month were 93.4%, 85.3% and 60.9%, respectively after transplantation. The PFS rates of 12-month, 24-month and 72 month were 93.3%, 84.0% and 84.0%, respectively. Median PFS and OS had not been reached. There were no statistically significant differences in the PFS and OS of patients with different gender, clinical staging, B symptom, IPI score, extranodal involved sites, Hb, LDH, β 2-MG and the status before transplantation(all P > 0.05) . The PFS and OS of patients receiving BEAM regimen + decitabine were better than those of patients receiving BEAM regimen alone (all P < 0.05). Conclusions:Autologous peripheral blood HSCT is effective in treatment of lymphoma. Moreover, BEAM regimen + dicitabine preconditioning regimen can achieve longer survival time compared with BEAM regimen alone.

Literature review is an essential link in nursing research. A systematic and rigorous literature review can transform the existing primary research into evidence that effectively guides nursing practice, thereby promoting the development of nursing specialization. This article introduces common review types such as the systematic review, Meta-analysis, overview of systematic reviews, Meta-synthesis, scoping review, and integrative review, and distinguishes the similarities and differences of different types of reviews, and analyzes their advantages and limitations, in order to improve the scientific and professional level of nursing practice, and promote the development of evidence-based and nursing disciplines.