Objective:To explore the predictive value of platelet aggregation function for acute kidney injury (AKI) in sepsis patients based on decision curve.Methods:A retrospective study was conducted to collect and analyze the clinical data of 120 sepsis patients admitted to the Affiliated Hospital of Jiangnan University from January 2021 to December 2023. According to the incidence of AKI during hospitalization, they were divided into AKI group (37 cases) and non-AKI group (83 cases). The general data, platelet aggregation function index (platelet aggregation rate) and other laboratory indexes of the two groups were collected and compared. Logistic regression model was used to analyze the relationship between AKI and main indexes of platelet aggregation function in patients with sepsis. The area under the curve (AUC) was obtained by drawing the receiver operating characteristic (ROC) curve, and the predictive value of platelet aggregation function on AKI in patients with sepsis was analyzed. R language software was used to construct a nomogram model of platelet aggregation function combined with other main indicators to predict AKI in patients with sepsis. Based on the decision curve, the predictive efficacy of the model on AKI in patients with sepsis was analyzed.Results:The platelet aggregation rate in the AKI group was lower than that in the non-AKI group: (56.23 ± 7.86)% vs. (68.79 ± 8.54)%, and the thrombin time was longer than that in the non-AKI group: 17.00 (16.50, 18.00) s vs. 16.00 (15.00, 17.00) s. The levels of D-dimer, C-reactive protein and procalcitonin were higher than those in the non-AKI group: (1.55 ± 0.45) mg/L vs. (1.32 ± 0.41) mg/L, (107.53 ± 18.41) mg/L vs. (99.86 ± 17.25) mg/L, (3.10 ± 0.46) μg/L vs. (2.88 ± 0.42) μg/L, and the differences were statistically significant ( P<0.05). The results of constructing a Logistic regression model showed that AKI in sepsis patients may be related to abnormal levels of platelet aggregation rate, thrombin time, C-reactive protein and procalcitonin ( P<0.05). The ROC curve was drawn to obtain the corresponding AUC: the AUC of platelet aggregation rate predicting sepsis complicated with AKI was 0.860 (95% CI 0.789 to 0.931), which had certain predictive value. When the platelet aggregation rate was set to 62.84%, the best predictive value can be obtained, with sensitivity, specificity, and Jorden index of 83.80%, 80.70%, and 0.645, respectively. The nomogram model of platelet aggregation function assisting other major indicators in predicting AKI in sepsis patients had a C-index of 0.904 (95% CI 0.851 to 0.957), indicating good discrimination of the model. Through decision curve analysis of the clinical net benefit of the model, the results showed that the clinical net benefit of the model was higher than that of platelet aggregation rate and other major indicators when applied alone. When the risk threshold was within the range of 0 to 0.81 and 0.97 to 1.00, the model could provide a significant increase in clinical net benefit rate. Conclusions:Platelet aggregation function (platelet aggregation rate) can serve as an early auxiliary predictive indicator for the risk of AKI in sepsis patients, and can assist other major indicators to improve the predictive value of AKI in sepsis patients.

Objective To systematically evaluate and analyze qualitative studies of parental engagement in kangaroo mother care experiences for preterm infants in the NICU,aiming to provide references for promoting the early recovery of preterm infants in NICU and improving the quality of nursing services.Methods Relevant were searched for qualitative studies of parental engagement in kangaroo mother care for preterm infants in NICU.The search time limit was from the construction of the database to July 19,2024.The quality of the included literature was assessed using the Joanna Brigg Institute's(JBI)Australian Centre for Evidence-Based Health Care's Quality Assessment Criteria for Qualitative Research,and the results were integrated using the meta-integration methods.Results A total of 17 papers were included in the literature,and 61 findings were extracted,grouped into 10 new categories.These were further synthesized into 4 integrated findings:physical and psychological perceptions of participation in kangaroo mother care;challenges to participation in kangaroo mother care;facilitators of participation in kangaroo mother care;expectations and suggestions for kangaroo mother care.Conclusion Hospital administrators should further improve the management specifications of kangaroo mother care for preterm infants in NICU,optimize resource allocation and strengthen publicity.At the same time,healthcare professionals should actively promote the establishment of peer and family support systems and increase participation in kangaroo mother care to facilitate early recovery of preterm infants in NICU and to continuously promote the improvement of nursing service quality.

Objective:To explore the predictive value of platelet aggregation function for acute kidney injury (AKI) in sepsis patients based on decision curve.Methods:A retrospective study was conducted to collect and analyze the clinical data of 120 sepsis patients admitted to the Affiliated Hospital of Jiangnan University from January 2021 to December 2023. According to the incidence of AKI during hospitalization, they were divided into AKI group (37 cases) and non-AKI group (83 cases). The general data, platelet aggregation function index (platelet aggregation rate) and other laboratory indexes of the two groups were collected and compared. Logistic regression model was used to analyze the relationship between AKI and main indexes of platelet aggregation function in patients with sepsis. The area under the curve (AUC) was obtained by drawing the receiver operating characteristic (ROC) curve, and the predictive value of platelet aggregation function on AKI in patients with sepsis was analyzed. R language software was used to construct a nomogram model of platelet aggregation function combined with other main indicators to predict AKI in patients with sepsis. Based on the decision curve, the predictive efficacy of the model on AKI in patients with sepsis was analyzed.Results:The platelet aggregation rate in the AKI group was lower than that in the non-AKI group: (56.23 ± 7.86)% vs. (68.79 ± 8.54)%, and the thrombin time was longer than that in the non-AKI group: 17.00 (16.50, 18.00) s vs. 16.00 (15.00, 17.00) s. The levels of D-dimer, C-reactive protein and procalcitonin were higher than those in the non-AKI group: (1.55 ± 0.45) mg/L vs. (1.32 ± 0.41) mg/L, (107.53 ± 18.41) mg/L vs. (99.86 ± 17.25) mg/L, (3.10 ± 0.46) μg/L vs. (2.88 ± 0.42) μg/L, and the differences were statistically significant ( P<0.05). The results of constructing a Logistic regression model showed that AKI in sepsis patients may be related to abnormal levels of platelet aggregation rate, thrombin time, C-reactive protein and procalcitonin ( P<0.05). The ROC curve was drawn to obtain the corresponding AUC: the AUC of platelet aggregation rate predicting sepsis complicated with AKI was 0.860 (95% CI 0.789 to 0.931), which had certain predictive value. When the platelet aggregation rate was set to 62.84%, the best predictive value can be obtained, with sensitivity, specificity, and Jorden index of 83.80%, 80.70%, and 0.645, respectively. The nomogram model of platelet aggregation function assisting other major indicators in predicting AKI in sepsis patients had a C-index of 0.904 (95% CI 0.851 to 0.957), indicating good discrimination of the model. Through decision curve analysis of the clinical net benefit of the model, the results showed that the clinical net benefit of the model was higher than that of platelet aggregation rate and other major indicators when applied alone. When the risk threshold was within the range of 0 to 0.81 and 0.97 to 1.00, the model could provide a significant increase in clinical net benefit rate. Conclusions:Platelet aggregation function (platelet aggregation rate) can serve as an early auxiliary predictive indicator for the risk of AKI in sepsis patients, and can assist other major indicators to improve the predictive value of AKI in sepsis patients.

Objective:To investigate the effects of allergens on expressions of IL-18,IL-18BPa and IL-18Rα in blood CD4+Th17 cells of patients with allergic rhinitis and asthma syndrome(ARA)and plasma levels of IL-17A and IL-17F in ARA patients.Methods:ARA patients(n=25)and healthy volunteers(n=22)in the First Affiliated Hospital of Jinzhou Medical University and Henan Provincial People's Hospital were recruited,and blood samples of the subjects were collected.Proportions of CD4+Th17 cells,and effects of allergens on expressions of IL-18,IL-18BPa and IL-18Rα in Th17 cells were determined by flow cytometry.Levels of IL-17A and IL-17F were examined by Bioplex system.Correlation between levels of free plasma free IL-18(fIL-18)and IL-17A,and per-centage of Th17 cells was further analyzed.Results:Proportion of IL-18+cells in Th17 cells was increased in ARA patients by 26.0%(P<0.01),and house dust mite allergen induced 1.22-fold elevation in expression of IL-18 in Th17 cells(P<0.05).In addition,Arte-misiae sieversiana wild pollen allergen enhanced expressions of IL-18 and IL-18Rα in Th17 cells of ARA patients(P<0.05).Plasma levels of IL-17A and IL-17F were increased by 2.2 and 1.1 folds,respectively(P<0.05)in ARA patients,and they correlated well with other(R=0.712,P<0.01).Moreover,the increased level of fIL-18 was moderately correlated with the increased level of IL-17A and the elevated proportion of Th17 cells in ARA patients(r=0.607,r=0.652,P<0.05).Conclusion:The increased plasma fIL-18 in ARA patients may be derived from Th17 cells.Allergens may be involved in pathogenesis of ARA by inducing elevated IL-18 and IL-18Rα expressions in Th17 cells.

Objective:To summarize the clinical and genetic characteristics of 23 children with pathogenic ACAN gene variants, enhance the understanding of this disorder, and explore possible regulatory mechanisms. Methods:A retrospective case series summary.The clinical characteristics and genetic analysis results of 23 children with ACAN gene variants treated in the Department of Endocrinology, Genetics and Metabolism, Children′s Hospital of Soochow University from January 2016 and September 2024 were analyzed retrospectively.Transcriptome sequencing was performed on peripheral blood samples from 3 of affected children and 3 age-matched healthy children as controls.Differentially expressed genes (DEGs) in the peripheral blood transcriptome profiles were identified.Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analyses were conducted to explore the potential signaling pathways involved. Results:Among the 23 cases, there were 13 males and 10 females, aged from 2 years and 8 months to 12 years old, with 11 cases presenting advanced bone age.Thirteen cases were treated with growth hormone (GH), including 6 cases who received concomitant gonadotropin-releasing hormone analogue therapy.The treatment duration ranged from 3 to 70 months, resulting in varying degrees of height improvement in all treated patients.Transcriptomic analysis identified 811 DEGs, with 516 up-regulated and 295 down-regulated.GO and KEGG enrichment analyses revealed that the heterozygous ACAN variants were significantly associated with FcγR-mediated phagocytosis, nuclear factor-κB signaling pathway, the intestinal immune network for IgA production, rheumatoid arthritis, and systemic lupus erythematosus signaling pathways. Conclusions:The predominant clinical manifestations of patients with ACAN gene variants are short stature and advanced bone age.Although GH provocation tests may indicate normal GH levels, GH therapy can be effective in improving height.Immune-related factors may play a role in the pathogenesis of this disorder.

Objective:To investigate the effects of allergens on expressions of IL-18,IL-18BPa and IL-18Rα in blood CD4+Th17 cells of patients with allergic rhinitis and asthma syndrome(ARA)and plasma levels of IL-17A and IL-17F in ARA patients.Methods:ARA patients(n=25)and healthy volunteers(n=22)in the First Affiliated Hospital of Jinzhou Medical University and Henan Provincial People's Hospital were recruited,and blood samples of the subjects were collected.Proportions of CD4+Th17 cells,and effects of allergens on expressions of IL-18,IL-18BPa and IL-18Rα in Th17 cells were determined by flow cytometry.Levels of IL-17A and IL-17F were examined by Bioplex system.Correlation between levels of free plasma free IL-18(fIL-18)and IL-17A,and per-centage of Th17 cells was further analyzed.Results:Proportion of IL-18+cells in Th17 cells was increased in ARA patients by 26.0%(P<0.01),and house dust mite allergen induced 1.22-fold elevation in expression of IL-18 in Th17 cells(P<0.05).In addition,Arte-misiae sieversiana wild pollen allergen enhanced expressions of IL-18 and IL-18Rα in Th17 cells of ARA patients(P<0.05).Plasma levels of IL-17A and IL-17F were increased by 2.2 and 1.1 folds,respectively(P<0.05)in ARA patients,and they correlated well with other(R=0.712,P<0.01).Moreover,the increased level of fIL-18 was moderately correlated with the increased level of IL-17A and the elevated proportion of Th17 cells in ARA patients(r=0.607,r=0.652,P<0.05).Conclusion:The increased plasma fIL-18 in ARA patients may be derived from Th17 cells.Allergens may be involved in pathogenesis of ARA by inducing elevated IL-18 and IL-18Rα expressions in Th17 cells.

Objective:To verify the prognostic value of perineural invasion and lymphovascular tumor embolus for patients with gastric cancer undergoing gastrectomy and postoperative chemotherapy, and establish a prognostic prediction nomogram model.Methods:According to 7∶3 radio, 781 gastric cancer patients were randomly divided into training cohort and internal validation cohort. One hundred fifty patients were utilized as the external validation cohort. Univariate and multivariate analysis were performed to evaluate the prognostic value of perineural invasion and lymphovascular tumor embolus, and construct the dynamic nomogram. The concordance index (C-index), net reclassification index and integrated discrimination improvement index, receiver operating characteristic curve, calibration curves and decision curve analysis were used to evaluate the nomogram.Results:Perineural invasion ( HR=1.486, 95% CI: 1.150-1.919, P<0.01) and lymphovascular tumor embolus ( HR=1.321, 95% CI: 1.030-1.693, P<0.05) were independent prognostic risk factors for patients with gastric cancer after gastrectomy and postoperative chemotherapy. C-index (training cohort: 0.734, internal validation cohort: 0.755, external validation cohort: 0.715), net reclassification index (training cohort: 0.228 for 3-year and 0.213 for 5-year OS prediction; internal validation cohort: 0.211 for 3-year and 0.279 for 5-year OS prediction; external validation cohort: 0.220 for 3-year and 0.440 for 5-year OS prediction) and integrated discrimination improvement index (training cohort: 0.051 for 3-year and 0.041 for 5-year OS prediction; internal validation cohort: 0.027 for 3-year and 0.036 for 5-year OS prediction; external validation cohort: 0.063 for 3-year and 0.153 for 5-year OS prediction) indicated that the nomogram performed better than the traditional TNM staging system ( P<0.05). Conclusions:Perineural invasion and lymphovascular tumor embolus are independent prognostic risk factors of gastric cancer patients after postoperative chemotherapy. The novel dynamic nomogram model based on perineural invasion and lymphovascular tumor embolus provides better assistance in evaluating prognosis of gastric cancer patients.

OBJECTIVE: To compare the efficacy and safety of intravenous colistin sulfate combined with nebulized inhalation versus intravenous monotherapy for pulmonary infections caused by carbapenem-resistant organism (CRO). METHODS: A multicenter retrospective cohort study was conducted. Clinical data were collected from patients admitted to the intensive care unit (ICU) of 10 tertiary class-A hospitals in Henan Province between July 2021 and May 2023, who received colistin sulfate for CRO pulmonary infections. Data included baseline characteristics, inflammatory markers [white blood cell count (WBC), neutrophil count (NEU), procalcitonin (PCT), C-reactive protein (CRP)], renal function indicators [serum creatinine (SCr), blood urea nitrogen (BUN)], life support measures, anti-infection regimens, clinical efficacy, microbiological clearance rate, and prognostic outcomes. Patients were divided into two groups: intravenous group (colistin sulfate monotherapy via intravenous infusion) and combination group ((intravenous infusion combined with nebulized inhalation of colistin sulfate). Changes in parameters before and after treatment were analyzed. RESULTS: A total of 137 patients with CRO pulmonary infections were enrolled, including 89 in the intravenous group and 48 in the combination group. Baseline characteristics, life support measures, daily colistin dose, and combination regimens (most commonly colistin sulfate plus carbapenems in both groups) showed no significant differences between two groups. The combination group exhibited higher clinical efficacy [77.1% (37/48) vs. 59.6% (52/89)] and microbiological clearance rate [60.4% (29/48) vs. 39.3% (35/89)], both P < 0.05. Pre-treatment inflammatory and renal parameters showed no significant differences between two groups. Post-treatment, the combination group showed significantly lower WBC and CRP [WBC (×10⁹/L): 8.2±0.5 vs. 10.9±0.6, CRP (mg/L): 14.0 (5.7, 26.6) vs. 52.1 (24.4, 109.6), both P < 0.05], whereas NEU, PCT, SCr, and BUN levels showed no significant between two groups. ICU length of stay was shorter in the combination group [days: 16 (10, 25) vs. 21 (14, 29), P < 0.05], although mechanical ventilation duration and total hospitalization showed no significant differences between two groups. CONCLUSIONS Intravenous colistin sulfate combined with nebulized inhalation improved clinical efficacy and microbiological clearance in CRO pulmonary infections with an acceptable safety profile.
Humans ; Colistin/therapeutic use* ; Retrospective Studies ; Administration, Inhalation ; Anti-Bacterial Agents/therapeutic use* ; Carbapenems/pharmacology* ; Male ; Female ; Middle Aged ; Gram-Negative Bacteria/drug effects* ; Aged ; Treatment Outcome ; Respiratory Tract Infections/drug therapy*

Nine novel compounds, comprising seven tetrahydroanthraquinones (auxarthrolones A-G, 1-7), a γ-butenolide glycoside (malfilamentoside E, 26), and a γ-butenolide (auxarthrolide A, 27), together with eighteen known compounds (8-25) were isolated from rice-based solid culture of Auxarthron umbrinum (A. umbrinum) DSM3193 using the one strain many compounds (OSMAC) approach. The structural elucidation of these compounds was accomplished through nuclear magnetic resonance (NMR), mass spectrometry (MS), and NMR calculation combined with DP4+ analysis or MAEΔΔδ parameter, while the absolute configurations of new compounds were established through single-crystal X-ray diffraction, electronic circular dichroism (ECD) spectroscopic data analysis and/or chemical derivatization. Austrocortilutein (10) and auxarthrol H (14) demonstrated moderate cytotoxicity against U87 and U251 [half maximal inhibitory concentration (IC₅₀) 3.5-12.1 μmol·L^-1]. Additionally, auxarthrolone A (1), auxarthrol H (14), eupolyphagin B (15), and 7-hydroxy-2-(2-hydroxypropyl)-5-methylchromone (17) exhibited torsional effects on fibroblast proliferation challenges induced by oleic acid, thus demonstrating fibroblast proliferation-promoting activity.
4-Butyrolactone/pharmacology* ; Molecular Structure ; Anthraquinones/pharmacology* ; Humans ; Animals ; Mice ; Cell Line, Tumor ; Magnetic Resonance Spectroscopy

Objective: To comprehensively evaluate and analyze the transfusion outcomes of patients with acute upper gastrointestinal bleeding (UGIB). Methods: The transfusion management system and hospital information system (HIS) were used to retrospectively collect clinical data of 230 patients with UGIB admitted to Zhejiang Provincial People's Hospital and its branches from June 2018 to June 2021. 101 cases were screened and categorized into transfusion group (n=56) and non-transfusion group (n=45) based on transfusion outcomes. The cohort comprised 68 males and 33 females. A univariate model based on the AIMS65 score, a logistic multiple regression model, and multivariate transfusion models using machine learning methods (including Random Forest, Support Vector Machine, and Artificial Neural Network) were established. The sensitivity, specificity, accuracy, and receiver operating characteristic (ROC) curves of each model were compared. Results: For the univariate model based on the AIMS65 scoring, the optimal threshold was 1.5. This model demonstrated a sensitivity of 0.446, a specificity of 0.822, an AUC of 0.67, an accuracy (ACC) of 0.614, a Kappa value of 0.256, and an F1-score of 0.655. For logistics regression model (optimal critical probability: 0.459), the sensitivity was 0.929, specificity was 0.889, AUC was 0.96, ACC was 0.911, Kappa was 0.819, and F1-score was 0.899. For the Random Forest model (optimal critical probability: 0.458), the sensitivity was 0.964, specificity was 0.956, AUC was 0.99, ACC was 0.960, Kappa was 0.920, and F1-score was 0.956. For the Support Vector Machine model (optimal critical probability: 0.474), the sensitivity was 0.875, specificity was 0.933, AUC was 0.94, ACC was 0.901, Kappa was 0.801, and F1-score was 0.894. For the Artificial Neural Network model (optimal critical probability: 0.797), the sensitivity was 0.804, specificity was 0.956, AUC was 0.96, ACC was 0.871, Kappa was 0.745, and F1-score was 0.869. Ten-fold cross validation also confirmed the reliability of the results. Conclusion: Based on integrated various clinical test indicators of patients, we could establish logistic regression model and multiple machine learning models. These models hold significant value for predicting the need for blood transfusion in patients, indicating a promising application prospect for machine learning algorithms in transfusion prediction.