1.Current status and reflections on research of intelligent acupuncture-moxibustion medical equipment.
Ling CHENG ; Muqiu TIAN ; Yanling PING ; Shuqing LIU ; Yunfeng WANG ; Jun ZHANG ; Qiaofeng WU
Chinese Acupuncture & Moxibustion 2025;45(10):1396-1404
Intelligent acupuncture-moxibustion medical equipment is an important force in promoting the inheritance, innovation, and modernization of acupuncture-moxibustion. This paper reviews the development status of intelligent acupuncture-moxibustion medical equipment and related new technologies, as well as the challenges faced. It is found that, with the advancement of technologies such as big data and artificial intelligence, acupuncture-moxibustion medical equipment has shown characteristics of greater precision, miniaturization, intelligence, and portability. However, deficiencies remain in areas such as standardization and regulation, including relatively low rates of effective transformation and a lack of innovation in research outcomes. Therefore, there is an urgent need to formulate corresponding strategies: improving the development of relevant standards for intelligent acupuncture-moxibustion medical equipment, encouraging the integration of medicine and engineering, cultivating interdisciplinary talents, and strengthening the protection of invention patents. It is necessary to establish a demand-oriented pathway connecting "equipment development, equipment evaluation, product formation" through multiple stages such as talent training and research project initiation, thereby promoting the modernization and standardization of intelligent acupuncture-moxibustion medical equipment and supporting the revitalization of traditional medicine.
Moxibustion/instrumentation*
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Humans
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Acupuncture Therapy/trends*
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Artificial Intelligence
2.Potential mechanism of Yueju Pills in improving depressive symptoms of psychocardiac diseases based on metabolomics and network pharmacology.
Cheng-Yu DU ; Xue-Feng GUO ; Han-Wen ZHANG ; Jian LIANG ; Huan ZHANG ; Guo-Wei HUANG ; Ping NI ; Hai-Jun MA ; You YU ; Rui YU
China Journal of Chinese Materia Medica 2025;50(16):4564-4573
The therapeutic effects of Yueju Pills on depression and cardiovascular diseases have been widely recognized. Previous studies have shown that the drug can significantly improve depressive-like behaviors induced by chronic unpredictable mild stress(CUMS) combined with atherosclerosis(AS). Given the complex pathogenesis of psychocardiac diseases, this study integrated metabolomics and network pharmacology to systematically elucidate the mechanism of Yueju Pills in alleviating depressive symptoms in psychocardiac diseases. The results demonstrate that, after Yueju Pill intervention, the levels of 9 abnormal metabolites in the hippocampus restore to normal ranges, primarily involving key pathways or signaling pathways, including the cyclic adenosine monophosphate(cAMP), mammalian target of rapamycin(mTOR), glycine/serine/threonine metabolism, and aminoacyl-tRNA biosynthesis. In a high-fat diet-induced CUMS ApoE~(-/-) mouse model, Yueju Pills significantly increases adenosine monophosphate(AMP) levels and decreases L-alanine and D-glyceric acid levels in the hippocampus. In conclusion, Yueju Pills exert antidepressant effects by regulating multiple metabolic axes, including glycine/serine/threonine metabolism and the cAMP, mTOR signaling pathways. Network pharmacology predictions reveal that the treatment of CUMS combined with AS by its core active components may be realized through modulating pathways concerning neuroinflammation and synaptic plasticity, including serine/threonine-protein kinase 1(AKT1), mitogen-activated protein kinase 1(MAPK1), and prostaglandin-endoperoxide synthase 2(PTGS2). This study provides a theoretical reference for the clinical application of Yueju Pills in alleviating the depressive symptoms of psychocardiac diseases.
Animals
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Network Pharmacology
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Mice
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Drugs, Chinese Herbal/administration & dosage*
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Metabolomics
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Male
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Depression/genetics*
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Humans
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Hippocampus/drug effects*
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Mice, Inbred C57BL
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Signal Transduction/drug effects*
3.Clinical and genetic characteristics of osteopetrosis in children.
Min WANG ; Ao-Shuang JIANG ; Cheng-Lin ZHU ; Jie WANG ; Ya-Ping WANG ; Shan GAO ; Yan LI ; Tian-Ping CHEN ; Hong-Jun LIU ; Jian WANG
Chinese Journal of Contemporary Pediatrics 2025;27(5):568-573
OBJECTIVES:
To study the clinical and genetic characteristics of osteopetrosis (OPT) in children.
METHODS:
A retrospective analysis was performed on the clinical data of 14 children with OPT. Whole-exome sequencing was used to detect pathogenic genes, and clinical phenotypes and genotypic features were summarized.
RESULTS:
Among the 14 children (10 males and 4 females), the median age at diagnosis was 8 months. Clinical manifestations included systemic osteosclerosis (14 cases, 100%), anemia (12 cases, 86%), infections (10 cases, 71%), thrombocytopenia (9 cases, 64%), hepatosplenomegaly (8 cases, 57%), and developmental delay (5 cases, 36%). Malignant osteopetrosis (MOP) cases had lower platelet counts, creatine kinase isoenzyme, and serum calcium levels, but higher white blood cell counts, lactate dehydrogenase, and alkaline phosphatase levels compared to non-MOP cases (P<0.05). Genetic testing identified 15 variants in 12 patients, including 8 variants in the CLCN7 gene (53%), 6 in the TCIRG1 gene (40%), and 1 in the TNFRSF11A gene (7%). Three novel CLCN7 variants were identified: c.2351G>C, c.1215-43C>T, and c.1534G>A. All four patients with TCIRG1 variants exhibited MOP clinical phenotypes. Of the seven patients with CLCN7 variants, 4 presented with intermediate OPT, 2 with benign OPT, and 1 with MOP.
CONCLUSIONS
Clinical phenotypes of OPT in children are heterogeneous, predominantly involving CLCN7 and TCIRG1 gene variants, with a correlation between clinical phenotypes and genotypes.
Humans
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Osteopetrosis/genetics*
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Male
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Female
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Infant
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Child, Preschool
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Retrospective Studies
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Vacuolar Proton-Translocating ATPases/genetics*
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Child
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Chloride Channels/genetics*
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Mutation
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Receptor Activator of Nuclear Factor-kappa B
4.Molecular Pathogenic Mechanism Study of Two Cases of Inherited Dysfibrinogenemia.
Min WANG ; Tian-Ping CHEN ; Ao-Shuang JIANG ; Cheng-Lin ZHU ; Nan WEI ; Li-Juan ZHU ; Li-Jun QU ; Hong-Jun LIU
Journal of Experimental Hematology 2025;33(1):187-192
OBJECTIVE:
To analyze two families with inherited dysfibrinogenemia, and explore the molecular pathogenic mechanisms.
METHODS:
The coagulation indexes of the probands and their family members were detected. The FGA, FGB, and FGG exons and their flanking sequences were amplified by PCR, and the mutation sites were identified by sequencing. SIFT, PolyPhen2, LRT, ReVe, MutationTaster, phyloP, and phastCons bioinformatics software were used to predict the functional impact of the mutation sites. Protein structure and amino acid conservation analysis of the variant were conducted using PyMOL and Clustal X software.
RESULTS:
The thrombin time (TT) of the proband in family 1 was prolonged to 37.00 s, and Fg∶C decreased to 0.52 g/L. The TT of the proband in family 2 was 20.30 s, and Fg∶C was 1.00 g/L, which was lower than the normal range. Genetic analysis revealed that the proband in family 1 had a heterozygous mutation c.80T>C in FGA, resulting in the substitution of phenylalanine 27 with serine (Phe27Ser). The proband in family 2 had a heterozygous mutation c.1007T>A in FGG, resulting in the substitution of methionine 336 with lysine (Met336Lys). Bioinformatics software prediction analysis indicated that both mutations were deleterious variants. PyMOL mutation models revealed that the Aα chain mutation (Phe27Ser) in family 1 and γ chain mutation (Met336Lys) in family 2 resulted in alterations in spatial structure and reduced protein stability. Clustal X results showed that both Aα Phe27 and γMet336 were highly conserved across homologous species.
CONCLUSION
Heterozygous mutations of FGA gene c.80T>C and FGG gene c.1007T>A are both pathogenic variants, causing inherited dysfibrinogenemia.
Female
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Humans
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Male
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Afibrinogenemia/genetics*
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Fibrinogen/genetics*
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Heterozygote
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Mutation
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Pedigree
5.Clinical Analysis of Extranodal NK/T-Cell Lymphoma, Nasal Type with Skin Lesions as Initial Symptom.
Ping CHENG ; Yi LI ; Xia MAO ; Qiu-Xiang WANG ; Lan-Lan WANG ; Jun GUAN ; Ying ZHOU ; Hui CHENG
Journal of Experimental Hematology 2025;33(2):416-422
OBJECTIVE:
To investigate the clinical features, treatment and prognosis of extranodal NK/T-cell lymphoma, nasal type (ENKTL) with skin lesions as initial symptom.
METHODS:
The clinical data of 11 ENKTL patients with skin lesions as initial symptom were retrospectively analyzed from August 2016 to January 2023 in Wuhan First Hospital and Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology.
RESULTS:
Among the 11 patients, there were 6 males and 5 females, with a median age of 50(32-80) years. All patients had different forms of skin lesions as initial clinical symptom, including rash, ulcerative mass, painful skin nodules, infiltrating macula, etc. Most of the skin lesions were involved in the limbs and trunk but also appeared in the lower limbs alone. Five patients had hemophagocytic lymphohistiocytosis (HLH) at initial diagnosis, and 8 patients had B symptoms. All patients were diagnosed with advanced clinical staging (Lugano staging IV), and classified as high risk (PINK-E score ≥3). Immunohistochemical examination revealed that the positive rates of CD56 and EBER were both 100%, and the median Ki-67 index was 75%(50%-80%). Plasma EBV-DNA tests were all positive (≥5×102 copies/ml). Most of the induction chemotherapy regimens were combination chemotherapy (MESA, p-Gemox, SMILE) containing pegaspargase or L-asparaginase, or combined with PD-1 monoclonal immunotherapy, or HLH regimens (HLH-04 regimen, L-DEP). The median follow-up time and overall survival (OS) time were both 4.5(0.5-27) months. During the follow-up period, all 8 patients who did not receive autologous hematopoietic stem cell transplantation (ASCT) died, most of whom died of rapid disease progression. Three patients received ASCT, one died of central nervous system recurrence after transplantation, and two survived. The OS of three patients who underwent ASCT was 21, 27, and 19 months, and PFS was 11, 20, and 13 months, respectively. The plasma EBV-DNA copy number was monitored irregularly after transplantation, and the load of EBV was consistent with the changes of the disease.
CONCLUSIONS
Early clinical symptoms of ENKTL patients with skin lesions as initial symptom are more atypical, and early diagnosis is particularly difficult. The disease progresses rapidly and the prognosis is poor. There is still no uniform standard for the best treatment strategy. The survival of patients can be significantly prolonged by applying ASCT as soon as possible after complete remission obtained by high-dose induction chemotherapy.
Humans
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Male
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Female
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Lymphoma, Extranodal NK-T-Cell/diagnosis*
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Middle Aged
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Adult
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Retrospective Studies
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Aged
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Prognosis
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Aged, 80 and over
6.Clinical Analysis of Primary Cutaneous CD8+ Aggressive Epidermotropic Cytotoxic T-Cell Lymphoma.
Ping CHENG ; Jun GUAN ; Yan FENG ; Hui CHENG
Journal of Experimental Hematology 2025;33(3):777-783
OBJECTIVE:
To report the clinical characteristics, diagnosis, treatment and prognosis of one patient with primary cutaneous CD8+ aggressive epidermotropic cytotoxic T-cell lymphoma (CD8+ PCAECTL), and to strengthen the understanding of this extremely rare type of lymphoma.
METHODS:
The clinical manifestations, diagnosis, treatment course, and prognosis of one patient with CD8+ PCAECTL admitted to our hospital were retrospectively analyzed.
RESULTS:
The patient is a 42-year-old female, with infiltrative skin rash on naso-facial and back as the main clinical manifestations. After pathological examination of the affected skin tissue, immunohistochemistry, molecular biology, and imaging, the diagnosis was confirmed as CD8+ PCAECTL, T3aN0M0 stage. Alternating chemotherapy with CHOP/HD-MTX (methotrexate, 6 g/m2) regimen was administered, and achieved complete remission (CR) after 4 cycles. After undergoing chemotherapy with DHAP regimen (cisplatin 100 mg/m2, d 1 + cytarabine 2 g/m2, q 12h, d 2 + dexamethasone 40 mg/d, d 1-4), the patient was mobilized for peripheral blood stem cells using recombinant human granulocyte colony-stimulating factor (G-CSF), and a sufficient number of CD34+ cells were successfully collected. Preconditioning was conducted with the BEAM regimen, followed by consolidation therapy with autologous hematopoietic stem cell transplantation (AHSCT). The patient remained in a disease-free survival state after 20 months of follow-up post-AHSCT.
CONCLUSION
CD8+ PCAECTL is extremely rare in clinical practice, with insidious onset and difficult early diagnosis. It is mainly characterized by the proliferation of epidermotropic CD8+ cytotoxic T cells and aggressive clinical course. At present, there is still no unified standard for the optimal treatment regimen, and the prognosis is very poor. Consolidation therapy with AHSCT after achieving remission through induction chemotherapy can improve the survival and prognosis of the CD8+ PCAECTL patients.
Humans
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Female
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Adult
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Antineoplastic Combined Chemotherapy Protocols/therapeutic use*
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Lymphoma, T-Cell, Cutaneous/diagnosis*
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Retrospective Studies
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Prognosis
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CD8-Positive T-Lymphocytes
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Skin Neoplasms/diagnosis*
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T-Lymphocytes, Cytotoxic
8.(Meta)transcriptomic Insights into the Role of Ticks in Poxvirus Evolution and Transmission: A Multicontinental Analysis.
Yu Xi WANG ; Jing Jing HU ; Jing Jing HOU ; Xiao Jie YUAN ; Wei Jie CHEN ; Yan Jiao LI ; Qi le GAO ; Yue PAN ; Shui Ping LU ; Qi CHEN ; Si Ru HU ; Zhong Jun SHAO ; Cheng Long XIONG
Biomedical and Environmental Sciences 2025;38(9):1058-1070
OBJECTIVE:
Poxviruses are zoonotic pathogens that infect humans, mammals, vertebrates, and arthropods. However, the specific role of ticks in transmission and evolution of these viruses remains unclear.
METHODS:
Transcriptomic and metatranscriptomic raw data from 329 sampling pools of seven tick species across five continents were mined to assess the diversity and abundance of poxviruses. Chordopoxviral sequences were assembled and subjected to phylogenetic analysis to trace the origins of the unblasted fragments within these sequences.
RESULTS:
Fifty-eight poxvirus species, representing two subfamilies and 20 genera, were identified, with 212 poxviral sequences assembled. A substantial proportion of AT-rich fragments were detected in the assembled poxviral genomes. These genomic sequences contained fragments originating from rodents, archaea, and arthropods.
CONCLUSION
Our findings indicate that ticks play a significant role in the transmission and evolution of poxviruses. These viruses demonstrate the capacity to modulate virulence and adaptability through horizontal gene transfer, gene recombination, and gene mutations, thereby promoting co-existence and co-evolution with their hosts. This study advances understanding of the ecological dynamics of poxvirus transmission and evolution and highlights the potential role of ticks as vectors and vessels in these processes.
Animals
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Poxviridae/physiology*
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Ticks/virology*
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Phylogeny
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Transcriptome
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Evolution, Molecular
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Poxviridae Infections/virology*
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Genome, Viral
9.Sarcopenia index as a predictor of in-hospital adverse events in patients with acute myocardial infarction after emergency PCI
Cheng-Si LI ; Zhang-Yu WANG ; Shao-Qing CAO ; Yu-Qin WANG ; Jiang-Ping YE ; Ye-Hong LIU ; Tian-Hui JIN ; Gang-Jun ZONG
Medical Journal of Chinese People's Liberation Army 2024;49(4):408-415
Objective To investigate the association between the serum creatinine/cystatin C ratio(SCr/Cys C)as a Sarcopenia index(SI)and the incidence of in-hospital adverse events in patients with acute myocardial infarction(AMI)undergoing emergency percutaneous coronary intervention(PCI).Additionally,we evaluate the predictive efficacy of the SI in predicting major adverse cardiovascular events(MACEs)during hospitalization.Methods A total of 306 patients with AMI who underwent emergency PCI in the 904th Hospital of PLA Joint Logistics Support Force from January 2020 to March 2023 were consecutively included in this retrospective analysis.Patients were divided into two groups based on the occurrence of MACEs during hospitalization:MACEs group(n=43)and non-MACEs group(n=263).Clinical characteristics and pre-PCI laboratory test results were collected.Univariate and multivariate logistic regression analyses were performed to identify independent risk factors for MACEs.The predictive performance of SI was assessed using receiver operating characteristic(ROC)curve analysis.Results The incidence of in-hospital MACEs in AMI patients was 14.1%.The results of the independent samples t-test showed that the SI level in MACEs group was significantly lower than that in non-MACEs group,with a statistically significant difference(P<0.001).The results of the multivariate logistic regression analysis suggested that new-onset atrial fibrillation,Killip class 2-4,SI,and TG were independent risk factors for in-hospital adverse events after emergency PCI.The ROC curve results showed that the predictive value of SI(AUC=0.741,95%CI 0.666-0.816)using the SCr/Cys C ratio was superior to that of single Cys C(AUC=0.658,95%CI 0.570-0.746)for predicting post-PCI MACEs,with a statistically significant difference(P<0.05),and the optimal cutoff value for SI was 78.14.After stratifying SI based on the cutoff value,the results of the independent samples t-test showed that compared to the higher SI group,the lower SI group had a higher occurrence of specific adverse events such as heart failure(P<0.001),malignant arrhythmias(P=0.009),and strokes(P=0.003),with statistically significant differences.Conclusions The results highlight SI as an independent risk factor for MACEs during hospitalization after emergency PCI in AMI patients.Furthermore,SI has proven to be an effective prognostic index for patient outcomes.
10.Development and validation of dynamic prediction models using vital signs time series data for fatal massive hemorrhage in trauma
Cheng-Yu GUO ; Ming-Hui GONG ; Qiao-Chu SHEN ; Hui HAN ; Ruo-Lin WANG ; Hong-Liang ZHANG ; Jun-Kang WANG ; Chun-Ping LI ; Tan-Shi LI
Medical Journal of Chinese People's Liberation Army 2024;49(6):629-635
Objective To establish a dynamic prediction model of fatal massive hemorrhage in trauma based on the vital signs time series data and machine learning algorithms.Methods Retrospectively analyze the vital signs time series data of 7522 patients with trauma in the Medical Information Mart for Intensive Care-Ⅳ(MIMIC-Ⅳ)database from 2008 to 2019.According to the occurrence of posttraumatic fatal massive hemorrhage,the patients were divided into two groups:fatal massive hemorrhage group(n=283)and non-fatal massive hemorrhage group(n=7239).Six machine learning algorithms,including logistic regression(LR),support vector machine(SVM),random forests(RF),adaptive boosting(AdaBoost),gated recurrent unit(GRU),and GRU-D were used to develop a dynamic prediction models of fatal massive hemorrhage in trauma.The probability of fatal massive hemorrhage in the following 1,2,and 3 h was dynamically predicted.The performance of the models was evaluated by accuracy,sensitivity,specificity,positive predictive value,negative predictive value,Youden index,and area under receiver operating characteristic curve(AUC).The models were externally validated based on the trauma database of the Chinese PLA General Hospital.Results In the MIMIC-Ⅳ database,the set of dynamic prediction models based on the GRU-D algorithm was the best.The AUC for predicting fatal major bleeding in the next 1,2,and 3 h were 0.946±0.029,0.940±0.032,and 0.943±0.034,respectively,and there was no significant difference(P=0.905).In the trauma dataset,GRU-D model achieved the best external validation effect.The AUC for predicting fatal major bleeding in the next 1,2,and 3 h were 0.779±0.013,0.780±0.008,and 0.778±0.009,respectively,and there was no significant difference(P=0.181).This set of models was deployed in a public web calculator and hospital emergency department information system,which is convenient for the public and medical staff to use and validate the model.Conclusion A set of dynamic prediction models has been successfully developed and validated,which is greatly significant for the early diagnosis and dynamic prediction of fatal massive hemorrhage in trauma.

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