PURPOSE: Septic shock is associated with high mortality and poor outcomes among sepsis patients with coagulopathy. Although traditional statistical methods or machine learning (ML) algorithms have been proposed to predict septic shock, these potential approaches have never been systematically compared. The present work aimed to develop and compare models to predict septic shock among patients with sepsis. METHODS: It is a retrospective cohort study based on 484 patients with sepsis who were admitted to our intensive care units between May 2018 and November 2022. Patients from the 908th Hospital of Chinese PLA Logistical Support Force and Nanchang Hongdu Hospital of Traditional Chinese Medicine were respectively allocated to training (n=311) and validation (n=173) sets. All clinical and laboratory data of sepsis patients characterized by comprehensive coagulation indexes were collected. We developed 5 models based on ML algorithms and 1 model based on a traditional statistical method to predict septic shock in the training cohort. The performance of all models was assessed using the area under the receiver operating characteristic curve and calibration plots. Decision curve analysis was used to evaluate the net benefit of the models. The validation set was applied to verify the predictive accuracy of the models. This study also used Shapley additive explanations method to assess variable importance and explain the prediction made by a ML algorithm. RESULTS: Among all patients, 37.2% experienced septic shock. The characteristic curves of the 6 models ranged from 0.833 to 0.962 and 0.630 to 0.744 in the training and validation sets, respectively. The model with the best prediction performance was based on the support vector machine (SVM) algorithm, which was constructed by age, tissue plasminogen activator-inhibitor complex, prothrombin time, international normalized ratio, white blood cells, and platelet counts. The SVM model showed good calibration and discrimination and a greater net benefit in decision curve analysis. CONCLUSION The SVM algorithm may be superior to other ML and traditional statistical algorithms for predicting septic shock. Physicians can better understand the reliability of the predictive model by Shapley additive explanations value analysis.
Humans ; Shock, Septic/blood* ; Machine Learning ; Male ; Female ; Retrospective Studies ; Middle Aged ; Aged ; Sepsis/complications* ; ROC Curve ; Cohort Studies ; Adult ; Intensive Care Units ; Algorithms ; Blood Coagulation ; Critical Illness

Objective:To understand the potential characteristics of decision-making preparation in outpatient hypertensive patients based on latent profile analysis, to identify the influencing factors of different categories of decision-making preparation levels, and to explore the performance of different decision-making preparation types in facilitation of patients involvement in treatment decision-making.Methods:Through a cross-sectional study, 350 hypertensive patients attending outpatient clinics in five different types of healthcare institutions (general hospitals, specialised hospitals and community hospitals) in Tianjin during January to May 2024 who met the inclusion and exclusion criteria were selected by the convenience sampling method as study subjects. General Information Questionnaires, Preparation for Decision Making Scale, and Facilitation of Patient Involvement Scale were used for investigation.Results:Totally 350 valid questionnaires [178 males and 172 females aged 25-89(57.24 ± 13.39)years old] were collected. The decision-making preparation score of outpatient hypertensive patients was (64.19 ± 18.69). The latent profile analysis results showed that the decision-making preparation of outpatient hypertensive patients could be divided into three potential categories: decision-making information scarcity type accounted for 20.0%(70/350), decision-making balance negotiation type accounted for 39.7%(139/350), and decision-making preparation adequacy type accounted for 40.3%(141/350). The results of multiple Logistic regression analysis showed that age, medical insurance type, occupation, and children′s condition were the influencing factors for the potential categories of decision-making preparation in outpatient hypertensive patients (all P<0.05). Age [less than 35 years old: OR(95% CI)=0.127(0.020-0.796)], occupation [on the job: OR(95% CI)=2.010 (1.034-3.906)], were the influencing factors of decision-making balance negotiation group (all P<0.05). Medical insurance type [basic medical insurance for urban employees: OR(95% CI)=0.372(0.193-0.720)], occupation [on the job: OR(95% CI)=2.500(1.270-4.920)], children′s condition[junior and senior high school: OR(95% CI)=0.391(0.190-0.802)] were the influencing factors of decision-making preparation adequacy group (all P<0.05). Conclusions:The level of promoting patient participation among outpatients with hypertension is relatively high, and there are differences in the perceived degree of promoting patient participation among patients with different types of decision preparation.It is recommended that medical staff provide decision-making related information based on the characteristics of different decision-making preparation categories of patients, encourage patients to actively participate in decision-making, and construct targeted decision support plans.

This study was aimed at evaluating the characteristics of H9N2 subtype avian influenza viruses(AIVs)origina-ting from wild birds in major wetlands in Fujian.Five H9N2 subtype AIVs isolated from fecal samples from wild birds in wet-lands of the Minjiang River,Jiulong River,Sandu Bay,Xinghua Bay,and Quanzhou Bay in Fujian were sequenced.Sequence a-nalysis of the HA genes of the five H9N2 subtype AIVs indicated that the five isolates shared 89.8％-99.4％nucleotide se-quence identity.All five isolates belonged to the same h9.4.2.5c evolutionary branch.The cleavage site motifs of HA were all PSRSSR ↓ GLF,thus indicating molecular characteristics of AIVs with low pathogenicity.The HA proteins of the viruses orig-inating from wild birds bore eight identical potential glycosylation sites,among which the glycosylation site at position 313 was located near the HA protein cleavage site.The 226th amino acid of HA in the receptor binding site was leucine in each virus,thus indicating that HAs of the five H9N2 subtype AIVs had mammalian sialic acid α-2,6 receptor binding affinity.In conclu-sion,the five H9N2 subtype AIVs originating from wild birds in Fujian had low pathogenicity,and the HAs had mammalian sialic acid α-2,6 receptor binding affinity.

Objective To investigate plasma protein expression changes in heatstroke patients using proteomics technology and to identify reliable prognostic biomarkers.Methods A retrospective analysis was conducted on 20 heatstroke patients hospitalized at the 908th Hospital of the Chinese PLA Joint Logistics Support Force from July 2022 to February 2024.Patients were divided into survival(n=16)and death groups(n=4)based on 28-day outcomes.Fasting venous blood samples were collected from both groups for proteomic analysis.Liquid chromatography-mass spectrometry(LC-MS/MS)was used to identify and screen differentially expressed proteins.Kyoto Encyclopedia of Genes and Genomes(KEGG)and Gene Ontology(GO)enrichment analyses were performed.LASSO regression was applied to screen key prognostic biomarkers,and receiver operating characteristic(ROC)curve analysis was used to evaluate their predictive value.Results A total of 27 upregulated and 90 downregulated proteins were identified between the two groups.These proteins were primarily involved in biological processes such as immune responses,complement activation,and metabolic processes.LASSO regression analysis indicated that actin-related protein 2(ARP2),cysteine-rich scavenger receptor type 1 M130(CD163),and catalase(CAT)could serve as effective biomarkers for evaluating heatstroke prognosis.ROC curve analysis demonstrated that ARP2 had higher diagnostic efficacy(AUC=0.98,sensitivity=0.80,specificity=1.00)compared to CD163(AUC=0.94,sensitivity=0.76,specificity=1.00),CAT(AUC=0.96,sensitivity=0.67,specificity=1.00),and acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ)score(AUC=0.79,sensitivity=0.44,specificity=1.00).Conclusion Elevated plasma ARP2 level has good clinical value for predicting poor prognosis in heatstroke patients.

This study was aimed at evaluating the characteristics of H9N2 subtype avian influenza viruses(AIVs)origina-ting from wild birds in major wetlands in Fujian.Five H9N2 subtype AIVs isolated from fecal samples from wild birds in wet-lands of the Minjiang River,Jiulong River,Sandu Bay,Xinghua Bay,and Quanzhou Bay in Fujian were sequenced.Sequence a-nalysis of the HA genes of the five H9N2 subtype AIVs indicated that the five isolates shared 89.8％-99.4％nucleotide se-quence identity.All five isolates belonged to the same h9.4.2.5c evolutionary branch.The cleavage site motifs of HA were all PSRSSR ↓ GLF,thus indicating molecular characteristics of AIVs with low pathogenicity.The HA proteins of the viruses orig-inating from wild birds bore eight identical potential glycosylation sites,among which the glycosylation site at position 313 was located near the HA protein cleavage site.The 226th amino acid of HA in the receptor binding site was leucine in each virus,thus indicating that HAs of the five H9N2 subtype AIVs had mammalian sialic acid α-2,6 receptor binding affinity.In conclu-sion,the five H9N2 subtype AIVs originating from wild birds in Fujian had low pathogenicity,and the HAs had mammalian sialic acid α-2,6 receptor binding affinity.

Objective:To understand the potential characteristics of decision-making preparation in outpatient hypertensive patients based on latent profile analysis, to identify the influencing factors of different categories of decision-making preparation levels, and to explore the performance of different decision-making preparation types in facilitation of patients involvement in treatment decision-making.Methods:Through a cross-sectional study, 350 hypertensive patients attending outpatient clinics in five different types of healthcare institutions (general hospitals, specialised hospitals and community hospitals) in Tianjin during January to May 2024 who met the inclusion and exclusion criteria were selected by the convenience sampling method as study subjects. General Information Questionnaires, Preparation for Decision Making Scale, and Facilitation of Patient Involvement Scale were used for investigation.Results:Totally 350 valid questionnaires [178 males and 172 females aged 25-89(57.24 ± 13.39)years old] were collected. The decision-making preparation score of outpatient hypertensive patients was (64.19 ± 18.69). The latent profile analysis results showed that the decision-making preparation of outpatient hypertensive patients could be divided into three potential categories: decision-making information scarcity type accounted for 20.0%(70/350), decision-making balance negotiation type accounted for 39.7%(139/350), and decision-making preparation adequacy type accounted for 40.3%(141/350). The results of multiple Logistic regression analysis showed that age, medical insurance type, occupation, and children′s condition were the influencing factors for the potential categories of decision-making preparation in outpatient hypertensive patients (all P<0.05). Age [less than 35 years old: OR(95% CI)=0.127(0.020-0.796)], occupation [on the job: OR(95% CI)=2.010 (1.034-3.906)], were the influencing factors of decision-making balance negotiation group (all P<0.05). Medical insurance type [basic medical insurance for urban employees: OR(95% CI)=0.372(0.193-0.720)], occupation [on the job: OR(95% CI)=2.500(1.270-4.920)], children′s condition[junior and senior high school: OR(95% CI)=0.391(0.190-0.802)] were the influencing factors of decision-making preparation adequacy group (all P<0.05). Conclusions:The level of promoting patient participation among outpatients with hypertension is relatively high, and there are differences in the perceived degree of promoting patient participation among patients with different types of decision preparation.It is recommended that medical staff provide decision-making related information based on the characteristics of different decision-making preparation categories of patients, encourage patients to actively participate in decision-making, and construct targeted decision support plans.

Purpose::In patients with heatstroke, disseminated intravascular coagulation (DIC) is associated with greater risk of in-hospital mortality. However, time-consuming assays or a complex diagnostic system may delay immediate treatment. Therefore, the present study proposes a new heatstroke-induced coagulopathy (HIC) score in patients with heat illness as an early warning indicator for DIC.Methods::This retrospective study enrolled patients with heat illness in 24 Chinese hospitals from March 2021 to May 2022. Patients under 18 years old, with a congenital clotting disorder or liver disease, or using anticoagulants were excluded. Data were collected on demographic characteristics, routine blood tests, conventional coagulation assays and biochemical indexes. The risk factors related to coagulation function in heatstroke were identified by regression analysis, and used to construct a scoring system for HIC. The data of patients who met the diagnostic criteria for HIC and International Society on Thrombosis and Haemostasis defined-DIC were analyzed. All statistical analyses were performed using SPSS 26.0.Results::The final analysis included 302 patients with heat illness, of whom 131 (43.4%) suffered from heatstroke, including 7 death (5.3%). Core temperature ( OR = 1.681, 95% CI 1.291 - 2.189, p < 0.001), prothrombin time ( OR = 1.427, 95% CI 1.175 - 1.733, p < 0.001) and D-dimer ( OR = 1.242, 95% CI 1.049 - 1.471, p = 0.012) were independent risk factors for heatstroke, and therefore used to construct an HIC scoring system because of their close relation with abnormal coagulation. A total score ≥ 3 indicated HIC, and HIC scores correlated with the score for International Society of Thrombosis and Hemostasis-DIC ( r = 0.8848, p < 0.001). The incidence of HIC (27.5%) was higher than that of DIC (11.2%) in all of 131 heatstroke patients. Meanwhile, the mortality rate of HIC (19.4%) was lower than that of DIC (46.7%). When HIC developed into DIC, parameters of coagulation dysfunction changed significantly: platelet count decreased, D-dimer level rose, and prothrombin time and activated partial thromboplastin time prolonged ( p < 0.05). Conclusions::The newly proposed HIC score may provide a valuable tool for early detection of HIC and prompt initiation of treatment.

Aim To investigate the role and mecha-nism of CXC chemokine receptor 3(CXCR3)in hepa-toblastoma(HB).Methods The expression of CX-CR3 was detected by immunohistochemical and West-ern blot in 16 cases of HB tissue and adjacent normal liver tissue.The HB cells(Huh-6 and HepT1)were transfected with Con-shRNA,CXCR3-shRNA1,and CXCR3-shRNA2,respectively,and then divided into the Con-shRNA group,CXCR3-shRNA1 group,and CXCR3-shRNA2 group.Cell proliferation was detected by CCK-8 assay and EdU staining.Cell migration and invasion were detected by scratch and Transwell as-says.The expressions of β-catenin,c-Myc,cyclin D1,MMP-7 and MMP-9 were detected by Western blot.The tumor formation and tumor volume in each group were assessed using nude mouse xenograft tumor model,while the expressions of MMP-9 and Ki67 in tumor tissue were examined by immunohistochemistry.Results The expression of CXCR3 was up-regulated in HB tissue(P＜0.01).Compared to the Con-shR-NA group,the viability,proliferation,migration and invasion of Huh-6 and HepT1 cells in the CXCR3-shR-NA1 and CXCR3-shRNA2 groups were reduced(P＜0.01),the expressions of the Wnt/β-catenin signaling pathway related proteins were attenuated(P＜0.01),the tumor grew slowly and the volume was significantly reduced(P＜0.01),and the expressions of MMP-9 and Ki67 in tumor tissue decreased(P＜0.01).Con-clusions Downregulation of CXCR3 hinders the pro-liferation and migration of HB cells,potentially as-cribed to the attenuation of Wnt/β-catenin signaling regulation.

Objective: To explore a simple and feasible method for the isolation and purification of hepatocytes, hepatic stellate cells (HSC), and lymphocytes from mice. Methods: The cell suspension was obtained from male C57bl/6 mice by hepatic perfusion through the portal vein digestion method and then isolated and purified by discontinuous Percoll gradient centrifugation. Trypan blue exclusion was used to determine cell viability. Glycogen staining, cytokeratin 18, and transmission electron microscopy were used to identify hepatic cells. Immunofluorescence was used to detect α-smooth muscle actin combined with desmin in HSCs. Flow cytometry was used to analyze lymphocyte subsets in the liver. Results: After isolation and purification, about 2.7×10(7) hepatocytes, 5.7×10(5) HSCS, and 4.6×106 hepatic mononuclear cells were obtained from the liver of mice with a body weight of about 22g. The cell survival rate in each group was > 95%. Hepatocytes were apparent in glycogen deposited purple-red granules and cytokeratin 18. Electron microscopy showed that there were abundant organelles in hepatocytes and tight junctions between cells. HSC had expressed α-smooth muscle actin and desmin. Flow cytometry showed hepatic mononuclear cells, including lymphocyte subsets such as CD4, CD8, NKs, and NKTs. Conclusion: The hepatic perfusion through the portal vein digestion method can isolate multiple primary cells from the liver of mice at once and has the features of simplicity and efficiency.
Male ; Mice ; Animals ; Keratin-18 ; Actins ; Desmin ; Liver ; Hepatocytes ; Hepatic Stellate Cells

Objective: To analyze the clinical features, efficacy and prognosis factors of core binding factor (CBF) acute myeloid leukemia (AML) children in South China. Methods: This was a retrospective cohort study. Clinical data of 584 AML patients from 9 hospitals between January 2015 to December 2020 was collected. According to fusion gene results, all patients were divided into two groups: CBF-AML group (189 cases) and non-CBF-AML group (395 cases). CBF-AML group were divided into AML1-ETO subgroup (154 cases) and CBFβ-MYH11 subgroup (35 cases). Patients in CBF-AML group chosen different induction scheme were divided into group A (fludarabine, cytarabine, granulocyte colony stimulating factor and idarubicin (FLAG-IDA) scheme, 134 cases) and group B (daunorubicin, cytarabine and etoposide (DAE) scheme, 55 cases). Age, gender, response rate, recurrence rate, mortality, molecular genetic characteristics and other clinical data were compared between groups. Kaplan-Meier method was used for survival analysis and survival curve was drawn. Cox regression model was used to analyze prognostic factors. Results: A total of 584 AML children were diagnosed, including 346 males and 238 females. And a total of 189 children with CBF-AML were included, including 117 males and 72 females. The age of diagnosis was 7.3 (4.5,10.0)years, and the white blood cell count at initial diagnosis was 21.4 (9.7, 47.7)×10⁹/L.The complete remission rate of the first course (CR1) of induction therapy, relapse rate, and mortality of children with CBF-AML were significantly different from those in the non-CBF-AML group (91.0% (172/189) vs. 78.0% (308/395); 10.1% (19/189) vs. 18.7% (74/395); 13.2% (25/189) vs. 25.6% (101/395), all P<0.05). In children with CBF-AML, the CBFβ-MYH11 subgroup had higher initial white blood cells and lower proportion of extramedullary invasion than the AML1-ETO subgroup, with statistical significance (65.7% (23/35) vs. 14.9% (23/154), 2.9% (1/35) vs. 16.9% (26/154), both P<0.05). AML1-ETO subgroup had more additional chromosome abnormalities (75/154), especially sex chromosome loss (53/154). Compared with group B, group A had more additional chromosome abnormalities and a higher proportion of tumor reduction regimen, with statistical significance (50.0% (67/134) vs. 29.1% (16/55), 34.3% (46/134) vs. 18.2% (10/55), both P<0.05). Significant differences were found in 5-years event free survival (EFS) rate and 5-year overall survival (OS) rate between CBF-AML group and non-CBF-AML group ((77.0±6.4)%vs. (61.9±6.7)%,(83.7±9.0)%vs. (67.3±7.2)%, both P<0.05).EFS and OS rates of AML1-ETO subgroup and CBFβ-MYH11 subgroup in children with CBF-AML were not significantly different (both P>0.05). Multivariate analysis showed in the AML1-ETO subgroup, CR1 rate and high white blood cell count (≥50×10⁹/L) were independent risk factors for EFS (HR=0.24, 95%CI 0.07-0.85,HR=1.01, 95%CI 1.00-1.02, both P<0.05) and OS (HR=0.24, 95%CI 0.06-0.87; HR=1.01, 95%CI 1.00-1.02; both P<0.05). Conclusions: In CBF-AML, AML1-ETO is more common which has a higher extramedullary involvement and additional chromosome abnormalities, especially sex chromosome loss. The prognosis of AML1-ETO was similar to that of CBFβ-MYH11. The selection of induction regimen group FLAG-IDA for high white blood cell count and additional chromosome abnormality can improve the prognosis.
Male ; Female ; Humans ; Child ; Retrospective Studies ; RUNX1 Translocation Partner 1 Protein/genetics* ; Core Binding Factor Alpha 2 Subunit/therapeutic use* ; Prognosis ; Leukemia, Myeloid, Acute/genetics* ; Cytarabine/therapeutic use* ; Oncogene Proteins, Fusion/genetics* ; Chromosome Aberrations