Objective To investigate the value of serum long noncoding RNA small nucleolar RNA host gene 7(lncRNA SNHG7)and microRNA(miR)-34a-5p expression in the diagnosis and prognostic evaluation of bloodstream infection(BSI).Methods A total of 193 suspected BSI patients admitted to the emergency department of Guangxi Wuzhou Red Cross Hospital from March 2022 to March 2023 were collected as the study subjects.After diagnosis,BSI patients were included as the infection group(n=100),and non BSI patients were included as the non infection group(n=93).After 28 days of treatment,BSI patients were separated into a death group(n=32)and a survival group(n=68)based on their prognosis.The real time fluorgenic quantitative PCR(qRT-PCR)method was applied to detect the expression levels of serum lncRNA SNHG7 and miR-34a-5p.The Target Scan Human website was applied to predict the targeting relationship between miR-34a-5p and lncRNA SNHG7.Pearson method was applied to analyze the correlation between serum lncRNA SNHG7 level and miR-34a-5p level.Multivariate Logistic regression was applied to analyze the influencing factors of prognosis in patients with BSI.Receiver operating characteristic(ROC)curve was applied to analyze the prognostic value of serum lncRNA SNHG7 and miR-34a-5p.Results The serum lncRNA SNHG7 level(1.47±0.35)in the infection group was obviously higher than that in the non infection group(1.03±0.15),and the miR-34a-5p level(0.85±0.21)was obviously lower than that in the non infection group(1.02±0.13),and the differences were statistically significant(t=11.203,6.703,all P<0.05).Compared with survival group,the serum lncRNA SNHG(1.68±0.21 vs 1.37±0.19),C-reactive protein(CRP)(85.74±9.16mg/L vs 63.18±7.68mg/L),procalcitonin(PCT)levels(56.37±8.72ng/ml vs 34.69±5.54ng/ml),albumin(92.51±10.18g/L vs 65.27±7.24g/L),Acute Physiological and Chronic Health Evaluation(APACHE II)scores(28.15±5.12scores vs 16.35±4.31scores)of the death group were obviously higher,and serum miR-34a-5p level(0.67±0.14 vs 0.93±0.16)was obviously lower,the differences were statistically significant.(t=7.357～15.340,all P<0.05).LncRNA SNHG7 had a targeted binding site with miR-34a-5p,and lncRNA SNHG7 was negatively correlated with miR-34a-5p(r=-0.568,P<0.05).Serum lncRNA SNHG7 and miR-34a-5p were prognostic factors for BSI patients(all P<0.05).The area under the curve(AUC)of serum lncRNA SNHG7,miR-34a-5p,and their combined evaluation of prognosis in BSI patients was better than that of serum lncRNA SNHG7 and miR-34a-5p detected sepatately(Z=0.001,2.304,all P<0.05),with sensitivity and specificity of 78.12%and 97.06%,respectively.Conclusion The serum lncRNA SNHG7 level in BSI patients is obviously elevated,while the serum miR-34a-5p level is obviously reduced.The two are closely related to the prognosis of BSI patients,and the combination of the two has good evaluation value for the prognosis of BSI patients.

Background Light gradient boosting machine (LightGBM) has become a popular choice in prediction models due to its high efficiency and speed. However, the "black box" issues in machine learning models lead to poor model interpretability. At present, few studies have evaluated the severity of occupational injuries from the perspective of LightGBM model and model interpretability. Objective To evaluate the application value of LightGBM models and model interpretability methods in occupational injury prediction. Methods The Mine Safety and Health Administration (MSHA) occupational injury data set of mining industry workers from 1983 to 2022 was used. Injury severity (death/fatal occupational injury and permanent/partial disability) was used as the outcome variable, and the predictor variables included the month of occurrence, age, sex, time of accident, time since beginning of shift, accident time interval from shift start, total experience, total mining experience, experience at this mine, cause of injury, accident type, activity of injury, source of injury, body part of injury, work environment type, product category, and nature of injury. Feature sets were screened using least absolute shrinkage and selection operator (Lasso) regression. A LightGBM model was then employed to predict occupational injury, with area under curve (AUC) of the model serving as the primary evaluation metric; an AUC closer to 1 indicates better predictive performance of the model. The interpretability of the model was evaluated using Shapley additive explanations (SHAP). Results Through Lasso regression, 7 key influencing factors were identified, including accident time interval from shift start, experience at this mine, cause of injury, accident type, body part of injury, nature of injury, and work environment type. A LightGBM model, constructed based on feature selection via Lasso regression, demonstrated good predictive performance with an AUC value of 0.9941 (95%CI: 0.9917, 0.9966), accuracy of 0.9743, specificity of 0.9781, and sensitivity of 0.9640. The predicted probability of fatal occupational injuries showed high consistency with the actual probability of fatal occupational injuries. In the occupational injury prediction model, the importance of each indicator was analyzed through its SHAP value, and it was found that the body part of injury and the nature of injury were the two main features that affected the prediction results of the model, and the impacts of other features were relatively small. The distribution of SHAP values across body part of injury was broad, with significant impacts on the model's prediction of fatal risk, particularly for injuries to the head and neck, as well as multi-part injuries. The nature of injury also exerted influences on the model in different directions, with suffocation/drowning, crushing, and multi-part injuries having a greater impact on the risk of fatal occupational injuries. Conclusion LightGBM model is capable of efficiently processing large-scale data and providing high-precision prediction results. Research on model interpretability aids in more accurately exploring and analyzing various key risk factors for fatal occupational injuries among mining workers, and further reveals the complex interactions among these factors. This, in turn, enables better preventive intervention and protection measures, as well as optimal resource allocation for labor workers.

Objective:To evaluate the safety and efficacy of donor-purified CD34 + stem cell boosts in patients with poor hematopoietic reconstruction (PHR) after haploid hematopoietic stem cell transplantation (haplo-HSCT) for aplastic anemia (AA) . Method:A retrospective analysis was conducted on 11 patients with AA and PHR who underwent haplo-HSCT and received donor-purified CD34 + stem cell boosts at Peking University People’s Hospital. Recovery of blood cell counts, incidence of graft-versus-host disease (GVHD), and overall survival (OS) were assessed. Results:Of the 11 patients with PHR, two were diagnosed with prolonged isolated thrombocytopenia (PT), one was primary poor graft function (PGF), and eight were diagnosed with secondary PGF. The median time to PHR diagnosis was 110 days (range: 60-330 days), and the median interval from transplantation to purified CD34 + hematopoietic stem cell infusion was 194 days (range: 125-456 days). The two patients with PT achieved complete platelet recovery at 22 and 13 days after CD34 + stem cell infusion, respectively. Among the remaining nine patients with PGF, six achieved complete hematopoietic recovery, with a median absolute neutrophil count recovery time of 19 days (8-158 days), HGB recovery time of 32.5 days (range: 13-158 days), and platelet recovery time of 31.5 days (range: 7-171 days). The incidence of chronic GVHD after infusion was 18.2%, with no cases of acute GVHD observed. The OS rate was 90.9% (10/11) in the 11 patients, with a median follow-up of 614 days (range: 153-1 765 days) . Conclusion:Donor-purified CD34 + stem cell boost may be an effective therapeutic strategy for PHR in patients with AA after haplo-HSCT.

Objective To investigate the value of serum long noncoding RNA small nucleolar RNA host gene 7(lncRNA SNHG7)and microRNA(miR)-34a-5p expression in the diagnosis and prognostic evaluation of bloodstream infection(BSI).Methods A total of 193 suspected BSI patients admitted to the emergency department of Guangxi Wuzhou Red Cross Hospital from March 2022 to March 2023 were collected as the study subjects.After diagnosis,BSI patients were included as the infection group(n=100),and non BSI patients were included as the non infection group(n=93).After 28 days of treatment,BSI patients were separated into a death group(n=32)and a survival group(n=68)based on their prognosis.The real time fluorgenic quantitative PCR(qRT-PCR)method was applied to detect the expression levels of serum lncRNA SNHG7 and miR-34a-5p.The Target Scan Human website was applied to predict the targeting relationship between miR-34a-5p and lncRNA SNHG7.Pearson method was applied to analyze the correlation between serum lncRNA SNHG7 level and miR-34a-5p level.Multivariate Logistic regression was applied to analyze the influencing factors of prognosis in patients with BSI.Receiver operating characteristic(ROC)curve was applied to analyze the prognostic value of serum lncRNA SNHG7 and miR-34a-5p.Results The serum lncRNA SNHG7 level(1.47±0.35)in the infection group was obviously higher than that in the non infection group(1.03±0.15),and the miR-34a-5p level(0.85±0.21)was obviously lower than that in the non infection group(1.02±0.13),and the differences were statistically significant(t=11.203,6.703,all P<0.05).Compared with survival group,the serum lncRNA SNHG(1.68±0.21 vs 1.37±0.19),C-reactive protein(CRP)(85.74±9.16mg/L vs 63.18±7.68mg/L),procalcitonin(PCT)levels(56.37±8.72ng/ml vs 34.69±5.54ng/ml),albumin(92.51±10.18g/L vs 65.27±7.24g/L),Acute Physiological and Chronic Health Evaluation(APACHE II)scores(28.15±5.12scores vs 16.35±4.31scores)of the death group were obviously higher,and serum miR-34a-5p level(0.67±0.14 vs 0.93±0.16)was obviously lower,the differences were statistically significant.(t=7.357～15.340,all P<0.05).LncRNA SNHG7 had a targeted binding site with miR-34a-5p,and lncRNA SNHG7 was negatively correlated with miR-34a-5p(r=-0.568,P<0.05).Serum lncRNA SNHG7 and miR-34a-5p were prognostic factors for BSI patients(all P<0.05).The area under the curve(AUC)of serum lncRNA SNHG7,miR-34a-5p,and their combined evaluation of prognosis in BSI patients was better than that of serum lncRNA SNHG7 and miR-34a-5p detected sepatately(Z=0.001,2.304,all P<0.05),with sensitivity and specificity of 78.12%and 97.06%,respectively.Conclusion The serum lncRNA SNHG7 level in BSI patients is obviously elevated,while the serum miR-34a-5p level is obviously reduced.The two are closely related to the prognosis of BSI patients,and the combination of the two has good evaluation value for the prognosis of BSI patients.

Objective:To evaluate the safety and efficacy of donor-purified CD34 + stem cell boosts in patients with poor hematopoietic reconstruction (PHR) after haploid hematopoietic stem cell transplantation (haplo-HSCT) for aplastic anemia (AA) . Method:A retrospective analysis was conducted on 11 patients with AA and PHR who underwent haplo-HSCT and received donor-purified CD34 + stem cell boosts at Peking University People’s Hospital. Recovery of blood cell counts, incidence of graft-versus-host disease (GVHD), and overall survival (OS) were assessed. Results:Of the 11 patients with PHR, two were diagnosed with prolonged isolated thrombocytopenia (PT), one was primary poor graft function (PGF), and eight were diagnosed with secondary PGF. The median time to PHR diagnosis was 110 days (range: 60-330 days), and the median interval from transplantation to purified CD34 + hematopoietic stem cell infusion was 194 days (range: 125-456 days). The two patients with PT achieved complete platelet recovery at 22 and 13 days after CD34 + stem cell infusion, respectively. Among the remaining nine patients with PGF, six achieved complete hematopoietic recovery, with a median absolute neutrophil count recovery time of 19 days (8-158 days), HGB recovery time of 32.5 days (range: 13-158 days), and platelet recovery time of 31.5 days (range: 7-171 days). The incidence of chronic GVHD after infusion was 18.2%, with no cases of acute GVHD observed. The OS rate was 90.9% (10/11) in the 11 patients, with a median follow-up of 614 days (range: 153-1 765 days) . Conclusion:Donor-purified CD34 + stem cell boost may be an effective therapeutic strategy for PHR in patients with AA after haplo-HSCT.

Humans ; Nephrotic Syndrome ; Hematopoietic Stem Cell Transplantation ; Tissue Donors ; Transplantation Conditioning ; Graft vs Host Disease

A 19-year-old male patient with high-risk acute B-cell lymphoblastic leukemia received haploidentical stem cell transplantation. He developed anemia repeatedly and parvovirus B19 nucleic acid was positive in blood plasma. The patient was diagnosed with cold agglutinin syndrome and multiple organ dysfunction including respiratory failure and hepatitis. In the conflict between viral infection and the treatment of cold agglutinin syndrome, we provided supportive treatment, complement inhibitors to control hemolysis, and antiviral therapy. After timely glucocorticoid and immunosuppressant therapy, the patient had achieved a good response.

Objective:To evaluate the efficacy and safety of matched sibling donor allogeneic hematopoietic stem cell transplantation (allo-HSCT) for the treatment of myelofibrosis (MF).Methods:In this case series, the clinical data of 18 patients with MF who received allo-HSCT in the Department of Hematology, Peking University People′s Hospital from December 2008 to December 2023 were retrospectively studied. Kaplan-Meier survival analysis and competitive risk model were used to evaluate the probabilities of 3-year overall survival (OS), disease-free survival (DFS), cumulative incidence of relapse (CIR), and transplant related mortality (TRM). The transplant related complications were also analyzed.Results:Among the 18 patients included, there were 12 males and 6 females, with a median age of 50 (range: 28-64) years. All 18 patients achieved neutrophil engraftment, and the time of neutrophil engraftment [ M ( Q1, Q3)] was 16.0 (11.8, 18.0) days. Twelve patients achieved platelet engraftment, and the platelet engraftment time was 21.0 (16.2, 43.2) days. Six patients had grade Ⅱ to Ⅳ acute graft-versus-host disease (GVHD), and six patients had chronic GVHD. The 3-year OS rate and DFS rate after transplantation were 62.2% and 52.2%, respectively. The 3-year CIR and TRM were 29.7% and 24.6%, respectively. Four patients died during follow-up, with the main cause of death being infections. Conclusion:Matched sibling allo-HSCT is a feasible option for the treatment of MF.