Objective:To explore the application of medical dialectics combined with problem-oriented teaching based on textbooks in hematology internship teaching.Methods:A total of 100 undergraduate students who practiced in the Department of Hematology of the First Hospital of Jilin University from 2022 to 2023 were selected as the research subjects. Students were randomly assigned to a control group and an observation group, with 50 students in each group. The control group received traditional teaching, while the observation group received medical dialectics combined with textbook-based problem-oriented teaching. We assessed the theoretical and operational scores, classroom performance, comprehensive abilities, and teaching satisfaction of two groups of students using t-test and χ 2 test in SPSS 22.0. Results:The theoretical and operational scores of the observation group were (94.26±5.35) points and (92.68±4.72) points, respectively. The theoretical and operational scores of the control group were (86.16±5.42) points and (81.52±5.28) points, respectively. The differences between the two groups were statistically significant ( P<0.001). The recognition rates were significantly higher by students in the observation group than in the control group ( P<0.05) in terms of improving learning efficiency, self-learning ability, understanding and comprehensive analysis of diseases, problem-solving ability, language and organizational expression ability, integration of theory and practice, clinical thinking ability, and independent thinking ability. The satisfaction with teaching was higher in the observation group than in the control group ( P<0.05) in terms of teaching attitudes, teaching methods, teaching arrangements, practicality of teaching content, clear explanation of teaching theories, and outstanding teaching objectives. Conclusions:The medical dialectics combined with textbook-based problem-oriented teaching can improve the assessment scores of medical students, while helping to cultivate their comprehensive abilities and develop good clinical diagnosis and treatment thinking.

For two young female patients with extramedullary recurrence of reproductive system after allogeneic hematopoietic stem cell transplantation for acute myeloid leukemia. And the characteristics of extramedullary relapse of reproductive system are summarized for exploring possible effective treatments.

Objective:To establish a set of artificial intelligence (AI) verification rules for blood routine analysis.Methods:Blood routine analysis data of 18 474 hospitalized patients from the First Hospital of Jilin University during August 1st to 31st, 2019, were collected as training group for establishment of the AI verification rules,and the corresponding patient age, microscopic examination results, and clinical diagnosis information were collected. 92 laboratory parameters, including blood analysis report parameters, research parameters and alarm information, were used as candidate conditions for AI audit rules; manual verification combining microscopy was considered as standard, marked whether it was passed or blocked. Using decision tree algorithm, AI audit rules are initially established through high-intensity, multi-round and five-fold cross-validation and AI verification rules were optimized by setting important mandatory cases. The performance of AI verification rules was evaluated by comparing the false negative rate, precision rate, recall rate, F1 score, and pass rate with that of the current autoverification rules using Chi-square test. Another cohort of blood routine analysis data of 12 475 hospitalized patients in the First Hospital of Jilin University during November 1sr to 31st, 2023, were collected as validation group for validation of AI verification rules, which underwent simulated verification via the preliminary AI rules, thus performance of AI rules were analyzed by the above indicators. Results:AI verification rules consist of 15 rules and 17 parameters and do distinguish numeric and morphological abnormalities. Compared with auto-verification rules, the true positive rate, the false positive rate, the true negative rate, the false negative rate, the pass rate, the accuracy, the precision rate, the recall rate and F1 score of AI rules in training group were 22.7%, 1.6%, 74.5%, 1.3%, 75.7%, 97.2%, 93.5%, 94.7%, 94.1, respectively.All of them were better than auto-verification rules, and the difference was statistically significant ( P<0.001), and with no important case missed. In validation group, the true positive rate, the false positive rate, the true negative rate, the false negative rate, the pass rate, the accuracy, the precision rate, the recall rate and F1 score were 19.2%, 8.2%, 70.1%, 2.5%, 72.6%, 89.2%, 70.0%, 88.3%, 78.1, respectively, Compared with the auto-verification rules, The false negative rate was lower, the false positive rate and the recall rate were slightly higher, and the difference was statistically significant ( P<0.001). Conclusion:A set of the AI verification rules are established and verified by using decision tree algorithm of machine learning, which can identify, intercept and prompt abnormal results stably, and is moresimple, highly efficient and more accurate in the report of blood analysis test results compared with auto-vefication.

Objective:To investigate the distribution of pathogenic bacteria of bloodstream infection after chemotherapy in patients with acute leukemia (AL), to analyze the risk factors for the occurrence of adverse events and to construct a nomogram model to predict the occurrence of adverse events.Methods:The clinical data of 313 AL patients with bloodstream infection who were admitted to the First Hospital of Jilin University from January 2018 to December 2020 were retrospectively analyzed, and the incidence, fatality and distribution characteristics of pathogenic bacteria after chemotherapy in AL patients were analyzed; the occurrence of adverse events (death or infectious shock) in patients with different clinicopathological characteristics were compared. Unconditional logistic binary regression model multifactor analysis was used to screen independent risk factors for the occurrence of adverse events in AL patients with bloodstream infection after chemotherapy; the nomogram model for predicting the occurrence of adverse events was developed by using R software; the Hosmer-Lemeshow test was used to verify the predictive effect of the model.Results:Of the 313 AL patients, the overall fatality rate was 4.2% (13/313), the all-cause fatality rate of bloodstream infection was 3.5% (11/313). Of the 313 cases, 254 cases (81.1%) were Gram-negative bacteria infection, mainly including 115 cases (45.3%) of Escherichia coli, 80 cases (31.5%) of Klebsiella pneumoniae, and 29 cases (11.4%) of Pseudomonas aeruginosa, and 10 cases (3.9%) died; 51 cases (16.3%) were Gram-positive cocci infection, mainly including 22 cases (43.1%) of Streptococcus spp., 20 cases (39.2%) of Staphylococcus spp., 7 cases (13.7%) of Enterococcus faecalis, and 0 case died; 8 cases (2.6%) were fungal infection, including 4 cases (1.3%) of Candida tropicalis, 2 cases (0.6%) of Candida subsmoothis, 1 case (0.3%) of Candida smooth, 1 case (0.3%) of new Cryptococcus, and 3 cases (37.5%) died. The differences in the occurrence rates of adverse events were statistically significant when comparing different treatment stage, risk stratification, timing of sensitive antibiotic use, total duration of fever, and glucocorticoid use in chemotherapy regimen, infecting bacteria carbapenem resistance, and leukemia remission (all P < 0.05). The results of logistic binary regression analysis showed that the use of glucocorticoid in chemotherapy regimen, the total duration of fever ≥7 d, the timing of sensitive antibiotic use ≥24 h, and carbapenem resistance of the infecting bacteria were independent risk factors for the occurrence of adverse events in AL patients with bloodstream infection after chemotherapy (all P < 0.05). A nomogram prediction model for the occurrence of adverse events in AL patients with bloodstream infection was established, and the nomogram model was calibrated and validated with good calibration and discrimination. Conclusions:The pathogenic bacteria of bloodstream infection after chemotherapy in AL patients is mainly Gram-negative bacteria, and the presence of glucocorticoid in chemotherapy regimen, long total duration of fever, poor timing of sensitive antibiotics, and infecting bacteria carbapenem resistance are risk factors for the occurrence of adverse events in AL patients with bloodstream infection after chemotherapy, and the nomogram prediction model based on these factors has a reliable predictive ability for the occurrence of adverse events.

Objective:To explore the characteristics of BCR-ABL1 kinase domain mutations in imatinib-resistant chronic myelogenous leukemia (CML) and Philadelphia chromosome-positive acute lymphoblastic leukemia (Ph + ALL) patients from Northeast China and their impact on prognosis. Methods:The clinical data of 252 CML patients and 49 Ph + ALL patients who were admitted to the First Hospital of Jilin University from January 2013 to October 2018 were retrospectively analyzed. The samples of bone marrow or peripheral blood were collected from patients when imatinib treatment was not effective. Nested polymerase chain reaction (PCR) was used to amplify the BCR-ABL1 kinase domain, and Sequencing Analysis v5.4 software was used to analyze the mutation of BCR-ABL1 kinase domain. Patients were followed up for 6-48 months, and the survival analysis was performed. Results:Among 252 CML patients, the mutations in ABL1 kinase domain were found in 57 patients (22.6%), including 25 patients in the chronic phase, 21 patients in the accelerated phase and 11 patients in the blast crisis; 50 patients had 20 types of single point mutation, and the most common mutation types were E255K (16.0%, 8/50), T315I (14.0%, 7/50), M244V (8.0%, 4/50) and G250E (8.0%, 4/50), which were all concentrated in the P-loop and C-helix domains; 7 patients had double mutations; patients with multiple mutations had the worst prognosis, with a median overall survival (OS) time of 3.2 months. Among 49 Ph + ALL patients, 17 cases (34.7%) were positive for mutations in the BCR-ABL1 kinase domain, 14 patients had 12 types of single point mutation, and 3 patients had multiple mutations; the median OS time of patients with multiple mutations, mutations located in the P-loop and C-helix domains and mutations located in the other domains was 2.0, 8.0 and 18.0 months, and the difference in OS among the three groups was statistically significant ( P < 0.01). Conclusions:Among the imatinib-resistant CML and Ph + ALL patients from Northeast China, point mutations in the P-loop and C-helix domains are most commonly found. Multiple mutations, mutations in the P-loop and C-helix domains are related to the poor prognosis of the patients.

Objective:To investigate the clinical characteristics and prognosis of acute myeloid leukemia (AML) patients with positive TLS-ERG fusion gene.Methods:The clinical data of 9 AML patients with positive TLS-ERG fusion gene in the First Hospital of Jilin University from June 2013 to August 2020 were retrospectively analyzed, and the relevant literature was reviewed.Results:Among 9 patients with positive TLS-ERG fusion gene, there were 5 males and 4 females, with a median age of 16 years old (6-40 years old). Five patients received chemotherapy alone, 3 patients received allogeneic hematopoietic stem cell transplantation (allo-HSCT), and 1 patient did not receive systematic treatment. Among 8 patients with systematic treatment, 1 patient had complete remission after the first induction chemotherapy and 5 patients had complete remission after induction therapy. The median overall survival time of 5 patients with chemotherapy alone was 1.5 months (1-11 months), of which 3 patients did not respond to the first course of treatment and died of infection, and 2 patients died after relapse. The median overall survival time of 3 patients with allo-HSCT was 16 months (13-17 months), of which 2 patients died after relapse and 1 patient had sustained molecular complete remission by the end of follow-up.Conclusions:AML with positive TLS-ERG fusion gene has low incidence rate and poor induction efficacy. Hematopoietic stem cell transplantation may partially improve the survival prognosis of patients, but it cannot overcome the adverse effect of positive TLS-ERG fusion gene on prognosis.

Objective:This investigation aims to assess the impact of CSF3R mutations and the presence of measurable residual disease (MRD) on the prognosis of patients with CEBPA double mutations who have acute myeloid leukemia (AML) .Methods:The prognostic significance of these two factors was examined in the present study, which included 66 patients with complete genetic mutations and sequential MRD information.Results:Following the second course of chemotherapy, the MRD status and CSF3R mutations of these patients were linked to their long-term prognosis. CSF3R mutated patients showed inferior relapse-free survival (RFS) (5-year RFS: 15.2% vs 38.7% , P=0.006) and overall survival (OS) (5-year OS: 18.2% vs 60.6% , P=0.038) compared with those with wild-type CSF3R. After the second course of chemotherapy, patients with negative MRD had an RFS of 64 months and an OS of not reaching, which was significantly longer than that of patients with positive MRD (15 and 48 months, and the P value were 0.004 and 0.050, respectively) . CSF3R mutations ( HR=0.317, 95% CI 0.129-0.779, P=0.012) , WT1 mutations ( HR=0.304, 95% CI 0.115-0.804, P=0.016) , and NRAS mutations ( HR=0.153, 95% CI 0.061-0.385, P<0.001) were all independently associated with a poor prognosis for RFS, and CSF3R mutations and positive MRD tended to be independently associated with a poor prognosis for OS, according to the results of a Cox proportional-hazards model analysis ( P values were 0.071 and 0.088, respectively) . The patients were divided into three groups based on their CSF3R mutation status and MRD status following treatment: wide-type CSF3R and negative MRD, mutated CSF3R or positive MRD, and mutated CSF3R and positive MRD, which showed significantly different RFS ( P<0.001) and OS ( P=0.006) . Conclusion:Both CSF3R mutations and positive MRD were associated with poor outcome in AML patients with CEBPA double mutations. An integrity model based on these two factors may be beneficial for accurately evaluating the prognosis of these patients.

The effect of traditional chemotherapy on Philadelphia chromosome-positive acute lymphoblastic leukemia (Ph + ALL) in adults is not satisfactory. With the introduction of tyrosine kinase inhibitor (TKI), the treatment paradigms and overall survival of adult patients with Ph + ALL have been improved. In the era of TKI, there is no consensus so far on the following issues, whether transplantation is still necessary, how to apply TKI before and after transplantation, what are the new advances in immunotherapy, and the effect of immunotherapy combined with targeted therapy. This article reviews the current treatment status and prospects in Ph + ALL.

Objective:To explore the incidence rates, clinical features, risk factors and its impacts on survival of central nervous system complications (CNSC) after allogeneic hematopoietic stem cell transplantation (allo-HSCT).Methods:From June 2011 to October 2018, 237 consecutive patients undergoing allo-HSCT were retrospectively analyzed.Results:The incidence of CNSC was 10.5%(25/237) and the median time 82(-4 - 810) days post-transplantation. The most common instances of CNSC were drug-associated encephalopathy (n=6), CNS infection (n=5), unexplained convulsions (n=4), metabolic encephalopathy (n=3), immune-related encephalopathy (n=3), primary central relapse (n=3) and cerebrovasculopathy (n=1). The most common clinical symptom was epileptic seizure (n=11). CsA-related encephalopathy was manifested mainly as posterior reversible encephalopathy syndrome on brain MRI. Metabolic encephalopathy is mostly demyelination. Most hippocampal lesions were caused by immune-related encephalopathy or CNS infection. Analysis of risk factors indicated that umbilical cord blood transplantation, HLA incompatible transplantation and delayed platelet implantation were high risk factors for post-transplantation occurrence of CNSC. Survival analysis suggested that non-relapse mortality rate (42.9%, 9/21) in group with CNSC of malignant hemoblastosis was higher than that in group without CNSC (15.3%, 27/176) and inter-group difference was statistically significant ( χ2=9.511, P=0.005). The 1/3-year OS rates in group with CNSC were lower than those in group without CNSC (56.6% vs 77.8%; 37.1% vs 65.7%). And the difference was statistically significant ( P=0.022). Conclusions:With a complex etiology, CNSC is one of serious complications after allo-HSCT and it significantly reduces the overall survival rate of patients. Umbilical cord blood transplantation, HLA incompatible transplantation and delayed platelet implantation are high-risk groups for CNSC.