Objective:To investigate the value of triglyceride glucose index(TyG)and monocyte to high-density lipoprotein choles-terol ratio(MHR)in the diagnosis of acute exacerbation of chronic obstructive pulmonary disease(AECOPD)complicated by heart fail-ure(HF),as well as the correlation of TyG and MHR with cardiac function in AECOPD patients.Methods:A retrospective analysis was performed for the clinical data of 298 AECOPD patients who were admitted to The First Hospital of Lanzhou University from January 2020 to December 2021,and according to the clinical manifestation,B-type natriuretic peptide/N-terminal B-type natriuretic peptide precursor,and echocardiography,the 298 AECOPD patients were divided into HF group with 127 patients and non-HF group with 171 patients.Related clinical indicators were compared between the two groups,and a regression analysis was used to identify the pos-sible risk factors for HF in AECOPD patients.The receiver operat-ing characteristic(ROC)curve analysis was used to investigate the value of TyG and MHR alone or in combination in the diagnosis of AECOPD complicated by HF,and a correlation analysis was used to investigate the correlation of TyG and MHR with cardiac function parameters(ejection fraction,ventricular wall thickness,cardiac chamber size,and valve regurgitation velocity)and pulmonary artery pressure in AECOPD patients.Results:The binary logistic regres-sion analysis showed that fasting blood glucose,absolute monocyte count,high-density lipoprotein cholesterol(HDL-C),arrhythmia,TyG,and MHR were independent risk factors for HF in AECOPD patients,and the HF group had significantly higher levels of TyG and MHR than the non-HF group(P<0.001).TyG had an area under the ROC curve(AUC)of 0.805(95%CI=0.754-0.856,P<0.001)in the diagnosis of AECOPD complicated by HF,and MHR had an AUC of 0.762(95%CI=0.707-0.817,P<0.001),while TyG combined with MHR had an AUC of 0.870(95%CI=0.828-0.912,P<0.001).The correlation analysis showed that TyG was negatively correlated with left ventricular ejection fraction and left ventricular fractional shortening and was positively correlated with end-diastolic interven-tricular septal thickness,mitral regurgitation velocity,and left ventricular end-diastolic posterior wall thickness,while MHR was nega-tively correlated with left ventricular stroke volume and left ventricular fractional shortening and was positively correlated with end-diastolic interventricular septal thickness,right ventricular anteroposterior diameter,right ventricular superior-inferior diameter,right ventricular transverse diameter,tricuspid regurgitation velocity,left ventricular end-diastolic posterior wall thickness,and pulmonary artery pressure.Conclusion:Fasting blood glucose,absolute monocyte count,HDL-C,arrhythmia,TyG,and MHR are independent risk factors for AECOPD complicated by HF.Both TyG and MHR have a certain value in the diagnosis of HF,and the combination of TyG and MHR has a better efficacy than each indicator alone in the diagnosis of AECOPD complicated by HF.TyG is correlated with the cardiac function parameters such as left ventricular ejection fraction,ventricular wall thickness,and mitral regurgitation velocity in patients with AECOPD and may have a stronger correlation with the left ventricle;MHR is correlated with right ventricular chamber size,tricuspid regurgitation velocity,and pulmonary artery pressure and may have a stronger correlation with the right ventricle.

Lysine methyltransferase 2A( KMT2A) rearrangement (KMT2A-r) is a high-risk gene subtype of acute lymphoblastic leukemia (ALL) in children with a high relapse rate, poor prognosis and suboptimal response to conventional chemotherapy.Improving the treatment and prognosis of childhood KMT2A-r ALL is an urgent problem.In recent years, with an in-depth understanding of the mechanism of KMT2A-r, more accurate risk stratification of KMT2A-r ALL has been carried out, and great progress has also been made in its immune and targeted therapy.In this article, the genetic and biological characteristics, risk stratification, treatment strategies and prognosis of children KMT2A-r ALL were reviewed in order to provide theoretical support for clinical work and future research.

Objective:To explore the clinical characteristics, diagnosis, treatment, and follow-up of multisystem inflammatory syndrome in children (MIS-C) related to SARS-CoV-2 Omicron variant infection.Methods:A retrospective analysis was conducted on clinical data of 11 children with MIS-C, who were admitted to the Department of Pediatrics of Peking University First Hospital from December 2022 to January 2023. Clinical characteristics, treatment, and follow-up of MIS-C were summarized in this study.Results:The 11 cases contained 7 boys and 4 girls, with an age of 4.4 (2.0, 5.5) years on admission. All the patients had fever, with a duration of 7(5, 9) days. Other clinical manifestations included rash in 7 cases, conjunctival hyperemia in 5 cases, red lips and raspberry tongue in 3 cases, lymphadenopathy in 3 cases, and swollen fingers and toes in 2 cases. There were 8 cases of digestive symptoms, 8 cases of respiratory symptoms, and 3 cases of nervous system symptoms. Eight patients had multi-system injuries, and one of them had shock presentation. All 11 patients were infected with SARS-CoV-2 Omicron BF.7 variant. The laboratory examination results showed that all cases had elevated inflammatory indicators, abnormal coagulation function and myocardial damage. Six patients had elevated white blood cell counts, 5 cases had liver function abnormalities, 3 cases had kidney function abnormalities, and 8 cases had coronary artery involvement. All 11 patients received anti-infection treatment, of which 3 cases received only 2 g/kg intravenous immunoglobulin (IVIG), while the remaining 8 cases received a combination of IVIG and 2 mg/(kg·d) methylprednisolone. Among the 8 cases with coronary artery disease, 6 cases received low molecular weight heparin anticoagulation therapy. All patients were followed up in 2 weeks after being discharged, and their inflammatory markers had returned to normal by that time. The 8 cases with coronary artery disease and 3 cases with pneumonia showed significant improvement or back to normal at the 4-week follow-up. All patients had no new complications or comorbidities during follow-up of more than 3 months.Conclusions:MIS-C may present with Kawasaki disease-like symptoms, with or without gastrointestinal, neurological, or respiratory symptoms. Elevated inflammatory markers, abnormal coagulation function, and cardiac injury contribute to the diagnosis of MIS-C. IVIG and methylprednisolone were the primary treatments for MIS-C, and a favorable short-term prognosis was observed during a follow-up period of more than 3 months.

Objective To analyze the pathological types and causes of misdiagnosis of thyroglossal duct cyst(TGDC).Methods The clinical data of 173 patients diagnosed with TGDC before operation in Tangdu Hospital of Air Force Medical University from January 2013 to January 2023 were retrospectively analyzed.Combined with postoperative pathology,a total of 15 patients were found to be misdiagnosed before operation,and the causes of misdiagnosis were summarized.Results The pathological types of 14 misdiagnosed cases in-cluded seven cases of dermoid cyst,three cases of thyroglossal duct papillary carcinoma,one case of accessory thyroid gland,one case of nodular goiter with intracapsular hemorrhage,one case of cervical lymphadenitis and one case of inflammatory nodule.All the 14 patients underwent standard Sistrunk surgery,and regular follow-up after surgery showed no hypothyroidism,recurrence or metastasis.Preoperative static thyroid imaging proved that the neck mass was vago thyroid in one patient,and surgery was not performed to avoid hypothy-roidism or parathyroidism caused by surgery.Conclusion Misdiagnosis of TGDC as other diseases is rare,cli-nicians should raise awareness to avoid the adverse consequences caused by blind operation.

Gastric cancer is a common malignant tumor in China. Most gastric cancer patients are already in the locally advanced stage when they seek medical treatment. Radical surgery is the main treatment for gastric cancer. The quality control of postoperative perioperative management is of great significance in improving the surgical treatment effect and the quality of life of patients. This article systematically summarizes seven aspects, including diet and nutrition management, antimicrobial drug management, pain management, prophylactic anticoagulation management, airway management, postoperative complication management, and discharge and follow-up management, establishes clear quality standards, and achieves the goals of reducing postoperative complications, standardizing perioperative medication use, reducing hospitalization time and costs, thereby reducing patient burden and improving the economic and social benefits of medical institutions.

Gastric cancer is a common malignant tumor in China. Most gastric cancer patients are already in the locally advanced stage when they seek medical treatment. Radical surgery is the main treatment for gastric cancer. The quality control of postoperative perioperative management is of great significance in improving the surgical treatment effect and the quality of life of patients. This article systematically summarizes seven aspects, including diet and nutrition management, antimicrobial drug management, pain management, prophylactic anticoagulation management, airway management, postoperative complication management, and discharge and follow-up management, establishes clear quality standards, and achieves the goals of reducing postoperative complications, standardizing perioperative medication use, reducing hospitalization time and costs, thereby reducing patient burden and improving the economic and social benefits of medical institutions.

Objective:To analyze the factors affecting delayed chemotherapy in children with Burkitt lymphoma (BL) and their influence on prognosis.Methods:Retrospective cohort study. Clinical data of 591 children aged ≤18 years with BL from May 2017 to December 2022 in China Net Childhood Lymphoma (CNCL) was collected. The patients were treated according to the protocol CNCL-BL-2017. According to the clinical characteristics, therapeutic regimen was divided into group A, group B and group C .Based on whether the total chemotherapy time was delayed, patients were divided into two groups: the delayed chemotherapy group and the non-delayed chemotherapy group. Based on the total delayed time of chemotherapy, patients in group C were divided into non-delayed chemotherapy group, 1-7 days delayed group and more than 7 days delayed group. Relationships between delayed chemotherapy and gender, age, tumor lysis syndrome before chemotherapy, bone marrow involvement, disease group (B/C group), serum lactate dehydrogenase (LDH) > 4 times than normal, grade Ⅲ-Ⅳ myelosuppression after chemotherapy, minimal residual disease in the interim assessment, and severe infection (including severe pneumonia, sepsis, meningitis, chickenpox, etc.) were analyzed. Logistic analysis was used to identify the relevant factors. Kaplan-Meier method was used to analyze the patients' survival information. Log-Rank was used for comparison between groups.Results:Among 591 patients, 504 were males and 87 were females, the follow-up time was 34.8 (18.6,50.1) months. The 3-year overall survival (OS) rate was (92.5±1.1)%,and the 3-year event-free survival (EFS) rate was (90.5±1.2)%. Seventy-three (12.4%) patients were in delayed chemotherapy group and 518 (87.6%) patients were in non-delayed chemotherapy group. The reasons for chemotherapy delay included 72 cases (98.6%) of severe infection, 65 cases (89.0%) of bone marrow suppression, 35 cases (47.9%) of organ dysfunction, 22 cases (30.1%) of tumor lysis syndrome,etc. There were 7 cases of chemotherapy delay in group B, which were seen in COPADM (vincristine+cyclophosphamide+prednisone+daunorubicin+methotrexate+intrathecal injection,4 cases) and CYM (methotrexate+cytarabine+intrathecal injection,3 cases) stages. There were 66 cases of chemotherapy delay in group C, which were common in COPADM (28 cases) and CYVE 1 (low dose cytarabine+high dose cytarabine+etoposide+methotrexate, 12 cases) stages. Multinomial Logistic regression analysis showed that the age over 10 years old ( OR=0.54,95% CI 0.30-0.93), tumor lysis syndrome before chemotherapy ( OR=0.48,95% CI 0.27-0.84) and grade Ⅲ-Ⅳ myelosuppression after chemotherapy ( OR=0.55,95% CI 0.33-0.91)were independent risk factors for chemotherapy delay.The 3-year OS rate and the 3-year EFS rate of children with Burkitt lymphoma in the delayed chemotherapy group were lower than those in the non-delayed chemotherapy group ((79.4±4.9)% vs. (94.2±1.1)%, (80.2±4.8)% vs. (92.0±1.2)%,both P<0.05). The 3-year OS rate of the group C with chemotherapy delay >7 days (42 cases) was lower than that of the group with chemotherapy delay of 1-7 days (22 cases) and the non-delay group (399 cases) ((76.7±6.9)% vs. (81.8±8.2)% vs. (92.7±1.3)%, P=0.002).The 3-year OS rate of the chemotherapy delay group (9 cases) in the COP (vincristine+cyclophosphamide+prednisone) phase was lower than that of the non-chemotherapy delay group (454 cases) ((66.7±15.7)% vs. (91.3±1.4)%, P=0.005). Similarly, the 3-year OS rate of the chemotherapy delay group (11 cases) in the COPADM1 phase was lower than that of the non-chemotherapy delay group (452 cases) ((63.6±14.5)% vs. (91.5±1.3)%, P=0.001). Conclusions:The delayed chemotherapy was related to the age over 10 years old, tumor lysis syndrome before chemotherapy and grade Ⅲ-Ⅳ myelosuppression after chemotherapy in pediatric BL. There is a significant relationship between delayed chemotherapy and prognosis of BL in children.

Objective:To explore the predictive effect of European treatment and outcome study long term survival (ELTS) score on survival outcomes in chronic myeloid leukemia of chronic phase (CML-CP) children.Methods:A single-center retrospective cohort study was conducted. Clinical data of 216 children with CML-CP in Peking University People′s Hospital from January 2010 to December 2023 were analyzed. Children were divided into low, intermediate and high-risk groups according to ELTS score. The survival outcomes and prognostic factors were analyzed. Kaplan-Meier method and Log-Rank test were used for survival analysis.Cox regression model was applied for analysis of prognostic factors.Results:Among the 216 children with CML-CP, there were 122 males and 94 females, with the diagnosis age of 11.0 (8.0, 14.7) years. The follow-up time was 77 (57, 99) months. According to ELTS score, 145, 52, and 19 children were classified as low, intermediate and high-risk group. For the low-risk and intermediate/high-risk groups, the 6-year failure-free survival (FFS) rates were (83.0±3.1)% and (64.6±5.7)%, the 6-year progression-free survival (PFS) rates were (91.4±2.3)% and (78.7±4.8)%, and the 6-year event-free survival (EFS) rates were (80.8±3.3)% and (64.2±5.7)%, with statistically significant difference ( χ2=9.45, 7.16, 7.40, P=0.002, 0.007, 0.007), respectively.The 6-year overall survival (OS) rates were (98.5±1.0)% and (95.6±2.4)%, without statistically significant difference ( χ2=0.35, P=0.550). Multivariate analysis showed that ELTS score was an independent prognostic factor or tendency for FFS ( HR=1.97, 95% CI 1.11-3.49), PFS ( HR=2.95, 95% CI 1.18-7.39), and no independent prognostic factor for EFS and OS were found. Conclusions:ELTS score at diagnosis can help stratify the risk of children with CML-CP. The children in intermediate/high-risk group are more likely to have treatment failure, disease progression than those in low-risk group, but the predictive ability of ELTS score for OS is limited.

Objective:To construct an prediction model based on magnetic resonance imaging (MRI) machine learning algorithm and radiomics and investigate its application value in predicting lymphovascular invasion (LVI) status of rectal cancer without lymph node metastasis.Methods:The retrospective cohort study was conducted. The clinicopathological data of 204 rectal cancer patients without lymph node metastasis who were admitted to Gansu Provincial Hospital from February 2016 to January 2024 were collected. There were 123 males and 81 females, aged (61±7)years. All 204 patients were randomly divided into the training dataset of 163 cases and the testing dataset of 41 cases by a ratio of 8∶2 using the electronic computer randomization method. The training dataset was used to construct the prediction model, and the testing dataset was used to validate the prediction model. The clinical prediction model, radiomics model and joint prediction model were constructed based on the selected clinical and/or imaging features. Measurement data with normal distribution were represented as Mean± SD. Count data were described as absolute numbers, and the chi-square test or Fisher exact probability were used for comparison between the groups. Comparison of ordinal data was conducted using the nonparameter rank sum test. The inter-class correlation coefficient (ICC) was used to evaluate the consistency of the radiomics features of the two doctors, and ICC >0.80 was good consistency. Univariate analysis was conducted by corres-ponding statistic methods. Multivariate analysis was conducted by Logistic stepwise regression model. The receiver operating characteristic (ROC) curve was drawn, and the area under the curve (AUC), Delong test, decision curve and clinical impact curve were used to evaluate the diagnostic efficiency and clinical utility of the model. Result:(1) Analysis of factors affecting LVI status of patients. Of the 204 rectal cancer patients without lymph node metastasis, there were 71 cases with positive of LVI and 133 cases with negative of LVI. Results of multivariate analysis showed that gender, platelet (PLT) count and carcinoembryonic antigen (CEA) were independent factors affecting LVI status of rectal cancer without lymph node metastasis in training dataset [ odds ratio=2.405, 25.062, 2.528, 95% confidence interval ( CI) as 1.093-5.291, 2.748-228.604, 1.181-5.410, P<0.05]. (2) Construction of clinical prediction model. The clinical prediction model was conducted based on the results of multivariate analysis including gender, PLT count and CEA. Results of ROC curve showed that the AUC, accuracy, sensitivity and specificity of clinical prediction model were 0.721 (95% CI as 0.637-0.805), 0.675, 0.632 and 0.698 for the training dataset, and 0.795 (95% CI as 0.644-0.946), 0.805, 1.000 and 0.429 for the testing dataset. Results of Delong test showed that there was no significant difference in the AUC of clinical prediction model between the training dataset and the testing dataset ( Z=-0.836, P>0.05). (3) Construction of radiomics model. A total of 851 radiomics features were extracted from 204 patients, and seven machine learning algorithms, including logistic regression, support vector machine, Gaussian process, logistic regression-lasso algorithm, linear discriminant analysis, naive Bayes and automatic encoder, were used to construct the prediction model. Eight radiomics features were finally selected from the optimal Gaussian process learning algorithm to construct a radiomics prediction model. Results of ROC curve showed that the AUC, accuracy, sensitivity and specificity of radiomics prediction model were 0.857 (95% CI as 0.800-0.914), 0.748, 0.947 and 0.642 for the training dataset, and 0.725 (95% CI as 0.571-0.878), 0.634, 1.000 and 0.444 for the testing dataset. Results of Delong test showed that there was no significant difference in the AUC of radiomics prediction model between the training dataset and the testing dataset ( Z=1.578, P>0.05). (4) Construction of joint prediction model. The joint prediction model was constructed based on the results of multivariate analysis and the radiomics features. Results of ROC curve showed that the AUC, accuracy, sensitivity and specificity of radiomics prediction model were 0.885 (95% CI as 0.832-0.938), 0.791, 0.912 and 0.726 for the training dataset, and 0.857 (95% CI as 0.731-0.984), 0.854, 0.714 and 0.926 for the testing dataset. Results of Delong test showed that there was no significant difference in the AUC of joint prediction model between the training dataset and the testing dataset ( Z=0.395, P>0.05). (5) Performance comparison of three prediction models. Results of the Hosmer-Lemeshow goodness-of-fit test showed that all of the clinical prediction model, radiomics prodiction model and joint prediction model having good fitting degree ( χ2=1.464, 12.763, 10.828, P>0.05). Results of Delong test showed that there was no signifi-cant difference in the AUC between the clinical prediction model and the joint prediction model or the radiomics model ( Z=1.146, 0.658, P>0.05), and there was a significant difference in the AUC between the joint prediction model and the radiomics model ( Z=2.001, P<0.05). Results of calibra-tion curve showed a good performance in the joint prediction model. Results of decision curve and clinical impact curve showed that the performance of joint prediction model in predicting LVI status of rectal cancer without lymph node metastasis was superior to the clinical prediction model and the radiomics model. Conclusions:The clinical prediction model is constructed based on gender, PLT count and CEA. The radiomics predictive model is constructed based on 8 selected radiomics features. The joint prediction model is constructed based on the clinical prediction model and the radiomics predictive model. All of the three models can predict the LVI status of rectal cancer with-out lymph node metastasis, and the joint prediction model has a superior predictive performance.