OBJECTIVE: To investigate the differential efficacy and safety profiles of oral mucosa (OM) grafts compared with acellular dermal matrix (ADM) grafts in the surgical management of long-segment urethral strictures. METHODS: A retrospective cohort study was conducted involving 27 patients who underwent graft urethroplasty for long-segment urethral strictures in Peking University First Hospital, spanning from May 2010 to September 2023. The patient cohort comprised 14 individuals who received OM grafts and 13 who underwent ADM grafts. The participants were stratified into two groups based on the type of grafts material utilized during surgery. The demographic and clinical baseline characteristics included an average age of (43.3±14.0) years in the OM group and (54.2±15.9) years in the ADM group. The mean body mass index (BMI) for the respective groups were (24.7±4.3) kg/m² for OM and (25.4±4.8) kg/m² for ADM. Etiological differences were noted, with idiopathic causes predominantly in the OM cohort and lichen sclerosus in the ADM cohort. RESULTS: The surgical interventions were successfully executed for all the patients. The median stricture length was 4.5 (2.5, 9.0) cm for the OM group and 5.0 (2.0, 14.0) cm for the ADM group (P=0.555). The median operative duration was 160 (71, 221) min for the OM group and 134 (112, 274) min for the ADM group (P=0.065). The catheterization durations was 1.5 (1.0, 6.0) months for the OM group and 3.0 (1.0, 3.0) months for the ADM group. The median postoperative follow-up duration was 12.5 (1.0, 170.0) months for the OM group and 59.0 (3.0, 142.0) months for the ADM group. The surgical success rates were 50.00% in the OM group and 53.85% in the ADM group. No statistically significant differences were observed in postoperative quality of life (QoL) or international prostate symptom score (IPSS) at the final follow-up. The stricture-free survival rates did not differ significantly (HR=0.875, 95%CI: 0.507-1.511, P=0.6). In terms of safety, three patients in the OM group experienced sexual dysfunction, and two had oral complications, whereas the ADM group had one case of postoperative infection. CONCLUSION The findings suggest that ADM grafts are comparable to OM grafts in terms of efficacy and safety for the treatment of long-segment urethral strictures, including complex cases attributed to lichen sclerosus. However, given the small sample size of this study, the above conclusions may have certain limitations. Larger cohort studies will be needed in the future to further validate these findings.
Humans ; Urethral Stricture/surgery* ; Acellular Dermis ; Mouth Mucosa/transplantation* ; Retrospective Studies ; Middle Aged ; Male ; Adult ; Treatment Outcome ; Skin Transplantation/methods* ; Aged

Objective:To identify the relevant factors for the first-course remission of acute myeloid leukemia (AML) and to develop a predictive model as well as assess its predictive capability.Methods:Clinical data of 749 patients newly diagnosed with AML admitted to the Department of Hematology, the First Affiliated Hospital, Zhejiang University, School of Medicine from January 1, 2019, to April 30, 2023, were collected and randomly divided into training and validation sets. Multivariate logistic regression analysis was conducted to determine variables associated with complete remission in the first course of induction therapy, and a predictive model was established based on these variables. The receiver operating characteristic (ROC) curve of the predictive model was plotted, and the area under the curve (AUC) was calculated.Results:The indicators predicting the first remission course included peripheral blood white blood cell count during onset, CBF::MYH11 fusion gene, CEBPA bZIP region mutation, myelodysplastic syndrome-related gene mutation, and induction chemotherapy regimen selection as independent factors for the first remission course. The model’s area under the training and validation curves was 0.738 (95% CI: 0.696-0.780) and 0.726 (95% CI: 0.650-0.801), respectively. The Hosmer-Lemeshow test results yielded P-values of 0.993 and 0.335, respectively. Conclusion:In this study, the developed model demonstrates a strong predictive capability for the efficacy of the first course of patients with AML, providing valuable guidance to clinicians in assessing patient prognosis and selecting appropriate treatment strategies.

To report a case of Stormorken syndrome(STRMK)diagnosed in adulthood and to study its clinical,pathological and genetic characteristics.The individual was a 31-year-old male whose symptoms started from childhood with epilepsy as initial symptom.He gradually developed progressive muscle weakness and atrophy.The patient's clinical data,laboratory results,and imaging studies were collected.A biopsy on the patient's left gastrocnemius muscle was conducted.Simultaneously,whole-exome sequencing on both the patient and his parents was performed.The physical examination of the patient showed short stature,proximal muscle weakness with lower limb predominance,accompanied by joint contracture and scoliosis.Abdominal CT examination revealed asplenia and magnetic resonance image(MRI)showed obvious fat infiltration in the bilateral lower limb muscle.Muscle biopsy was consistent with tubular-aggregate myopathy.Genetic test indicated that the patient had a c.326A>G(p.His109Arg)heterozygous mutation in the stromal interaction molecule 1(STIM1)gene,a known pathogenic mutation.This study further enables neurologists to gain a better understanding of this rare disease.

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To report a case of Stormorken syndrome(STRMK)diagnosed in adulthood and to study its clinical,pathological and genetic characteristics.The individual was a 31-year-old male whose symptoms started from childhood with epilepsy as initial symptom.He gradually developed progressive muscle weakness and atrophy.The patient's clinical data,laboratory results,and imaging studies were collected.A biopsy on the patient's left gastrocnemius muscle was conducted.Simultaneously,whole-exome sequencing on both the patient and his parents was performed.The physical examination of the patient showed short stature,proximal muscle weakness with lower limb predominance,accompanied by joint contracture and scoliosis.Abdominal CT examination revealed asplenia and magnetic resonance image(MRI)showed obvious fat infiltration in the bilateral lower limb muscle.Muscle biopsy was consistent with tubular-aggregate myopathy.Genetic test indicated that the patient had a c.326A>G(p.His109Arg)heterozygous mutation in the stromal interaction molecule 1(STIM1)gene,a known pathogenic mutation.This study further enables neurologists to gain a better understanding of this rare disease.

Objective:To identify the relevant factors for the first-course remission of acute myeloid leukemia (AML) and to develop a predictive model as well as assess its predictive capability.Methods:Clinical data of 749 patients newly diagnosed with AML admitted to the Department of Hematology, the First Affiliated Hospital, Zhejiang University, School of Medicine from January 1, 2019, to April 30, 2023, were collected and randomly divided into training and validation sets. Multivariate logistic regression analysis was conducted to determine variables associated with complete remission in the first course of induction therapy, and a predictive model was established based on these variables. The receiver operating characteristic (ROC) curve of the predictive model was plotted, and the area under the curve (AUC) was calculated.Results:The indicators predicting the first remission course included peripheral blood white blood cell count during onset, CBF::MYH11 fusion gene, CEBPA bZIP region mutation, myelodysplastic syndrome-related gene mutation, and induction chemotherapy regimen selection as independent factors for the first remission course. The model’s area under the training and validation curves was 0.738 (95% CI: 0.696-0.780) and 0.726 (95% CI: 0.650-0.801), respectively. The Hosmer-Lemeshow test results yielded P-values of 0.993 and 0.335, respectively. Conclusion:In this study, the developed model demonstrates a strong predictive capability for the efficacy of the first course of patients with AML, providing valuable guidance to clinicians in assessing patient prognosis and selecting appropriate treatment strategies.

With persistent breakthrough and maturity of surgical procedures and postoperative immunosuppressive therapy, the survival rate of liver transplant recipients and grafts has been significantly increased. The shortage of donor liver has become the main obstacle for clinical development of liver transplantation. How to expand the source of donor liver has become an urgent issue. Groundbreaking progresses have been made in the use of common marginal donor livers in clinical liver transplantation, such as elderly donor liver, steatosis donor liver, viral hepatitis donor liver and liver from donation after cardiac death. Nevertheless, multiple restrictions still exist regarding the use of marginal donor liver. Consequently, the definition of marginal donor liver and research progress in the application of common marginal donor livers were reviewed, and the opportunities and challenges of mariginal donoor liver were illustrated, aiming to provide reference for expanding the donor pool for clinical liver transplantation and bringing benefits to more patients with end-stage liver disease.

ObjectiveIn order to improve the recognition accuracy of named entities in medical record texts and realize the effective mining and utilization of medical record knowledge， a Bert-Radical-Lexicon（BRL） neural network model is constructed to recognize medical record entities with respect to the characteristics of medical record texts. MethodWe selected 408 medical records related to hypertension from the the Complete Library of Famous Medical Records of Chinese Dynasties and constructed a dataset consisting of 1 672 medical records by manually labeling. Then， we randomly divided the dataset into three subsets， including the training set（1 004 cases）， the testing set （334 cases） and the validation set（334 cases）. Based on this dataset， we built a BRL model that fused various text features of medical records， as well as its variants BRL-B， BRL-L and BRL-R， and a baseline model Base for experiments. During the model training phase， we trained the above models using the training set to reduce the risk of overfitting. We continuously monitored the performance of each model on the validation set during training and saved the model with the best performance. Finally， we evaluated the performance of these models on the testing set. ResultCompared with other models， the BRL model had the best performance in the medical records named entity recognition task， with an overall recognition precision of 90.09%， a recall of 90.61%， and the harmonic mean of the precision and recall（F1） of 90.35% for eight types of entities， including disease， symptom， tongue manifestation， pulse condition， syndrome， method of treatment， prescription and traditional Chinese medicine（TCM）. Compared with the Base model， the BRL model improved the overall F1 value of entity recognition by 5.22%， and the F1 value of pulse condition entity increased by 6.92%， which was the largest increase. ConclusionBy incorporating a variety of medical record text features in the embedding layer， the BRL neural network model has stronger named entity recognition ability， and thus extracts more accurate and reliable TCM clinical information.

The United States has established a perfect specialist training system for developmental and behavioral pediatrics (DBP), while the DBP specialist training system in China is still in the early stage of development and has been constantly improved. This article analyzes and compares the current status of DBP specialist training system between the United States and China from the aspects of training pattern, eligibility criteria, training plans and contents, assessment and evaluation, and certification. With reference to the training system in the United States, we can further improve the DBP specialist training system in China by perfecting the training system and related documents, constructing reasonable eligibility criteria, establishing a training pattern guided by post competency, improving the DBP assessment and evaluation system based on competency, and enhancing the certification of DBP physicians.