OBJECTIVE To investigate the clinical characteristics and risk factors for batroxobin-related severe hypofibrinogenemia （HFIB） and construct a risk prediction model. METHODS A retrospective analysis was conducted on inpatients treated with batroxobin in the First Medical Center of a tertiary hospital from January 1， 2020， to December 31， 2024. Patients were categorized into non-severe HFIB group and severe HFIB group based on the severity of HFIB. Univariate and multivariate Logistic regression analyses were performed to identify the independent influencing factors for batroxobin-related severe HFIB. A nomogram was developed using the “rms” package in R 4.5 software. The predictive performance of the model was evaluated using the receiver operating characteristic curve. Calibration was assessed via the Bootstrap resampling method， and goodness-of-fit was evaluated with the Hosmer-Lemeshow test. RESULTS A total of 1 472 patients were included in this study. Of these， 1 445 developed HFIB， yi elding an incidence of 98.17%. Furthermore， 895 were classified as severe HFIB， accounting for 60.80% of the cohort. Multivariate Logistic regression analysis showed that increased age， high initial dose per 10 kg body weight， use of maintenance dose， and concomitant glucocorticoid use were independent risk factors for batroxobin-related severe HFIB， while high baseline fibrinogen （FIB） level was identified as a protective factor. The model demonstrated an area under the curve of 0.760 （95% CI： 0.735-0.785）. The mean absolute error of the calibration curve was 0.006. The P value of the Hosmer-Lemeshow test was 0.609. CONCLUSIONS Batroxobin can rapidly and significantly reduce FIB levels and carries a risk of inducing severe HFIB. Patients with advanced age， high initial dose per 10 kg body weight， use of maintenance dose and concomitant glucocorticoid use had a higher risk of batroxobin-related severe HFIB， while high baseline FIB level had a lower risk of batroxobin-related severe HFIB. The risk prediction model developed based on these factors can be used to predict the likelihood of batroxobin-related severe HFIB.

OBJECTIVE To establish a high-risk medication list and preventive and therapeutic measures for drug-induced hypofibrinogenemia， and to provide a reference for the prevention and treatment of this condition. METHODS By integrating domestic and international case reports， retrospective case-control studies， and spontaneous adverse drug reaction reporting databases， 19 domestically marketed high-risk drugs for drug-induced hypofibrinogenemia were identified. Based on the clinical characteristics and mechanisms of these drugs， relevant risk factors were systematically reviewed， and existing treatment options were summarized， leading to the preliminary development of recommended preventive and therapeutic measures. A two-round Delphi consultation was conducted to evaluate， revise， and ultimately reach consensus on the preliminary findings， using a mean importance score of ≥3.5 points for indicators and a coefficient of variation ＜0.3 as screening criteria. RESULTS The coefficient of expert authority for both rounds of expert consultation was 0.904. In the first round， the Kendall coordination coefficients （Kendall’s W ） for the high-risk medication list and the proposed preventive and therapeutic measures were 0.390 and 0.223 （ P ＜0.05）， respectively. In the second round， the Kendall’s W were 0.227 and 0.200 （ P ＜0.05）， respectively. After two rounds of expert consultation and discussion， 11 high-risk drugs for drug-induced hypofibrinogenemia， represented by hemocoagulase and certain anti-infective agents， were ultimately identified， along with 5 preventive and therapeutic measures spanning the entire process of “pre-medication assessment， intra-medication monitoring， and bleeding event management”. CONCLUSIONS This study has established a scientific and reliable high-risk medication list， and corresponding preventive and therapeutic measures for drug-induced hypofibrinogenemia， providing a theoretical basis and practical support for the early identification， stratified management， and precise intervention of this condition.

The electrocatalytic nitrate reduction reaction(NO3RR)presents a sustainable pathway for large-scale ammonia production,yet it faces significant challenges due to proton supply limitations caused by the high energy barrier for water dissociation,which slows ammonia(NH3)generation.Herein,a palladium(Pd)-modified copper-cobalt(CuCo)hollow fiber penetration electrode that enabled H2 injection through its hollow structures,thereby enhancing proton availability for NO3RR was developed.The active Pd component efficiently dissociated H2,facilitating active hydrogen(*H)spillover and speeding up the cascade NO3RR process on Cu and Co sites.As a result,a half-cell energy efficiency of 39.53%and an NH3 Faradaic efficiency(FE)of 97.11%±1.17%at-0.1 V(vs RHE)were achieved,comparable to state-of-the-art systems.Importantly,the H2-assisted approach prevented the oxidation of active Cu and Co phases,demonstrating exceptional stability with less than 5.6%decay in current density(267 mA/cm2)and retention of NH3 FE at 94.8%after over 70 h of electrolysis.These findings offered valuable insights into proton supply pathways and design of NO3RR electrodes.

Objective To explore the value of inflammatory load index(IBI)in the diagnosis and prognosis of gastric cancer patients.Methods Clinical data of patients who underwent gastric cancer surgery in the Department of General Surgery of the Second Hospital of Lanzhou University from January 2016 to December 2018 were retrospectively analyzed,and the patients were divided into the high IBI group and the low IBI group based on the optimal cut-off value of IBI.ROC curve was used to determine the optimal cut-off value of IBI,and the survival curve was constructed using the Kaplan-Meier method,and the differences between groups were examined using the Log-rank test.Cox regression analysis was performed to study the prognostic factors of gastric cancer patients.Results The best cut-off value for IBI diagnosis was 8.796,and the best cut-off value for prognosis was 28.75.IBI was related to the clinical case characteristics of gastric cancer patients,such as surgical access,the degree of differentiation,CK7,CK20,LMP-1,and Ki-67(P＜0.05).The results of univariate analysis showed that intraoperative bleeding,preoperative CEA,preoperative CA125,preoperative CA199,IBI,tumor diameter size,margins of incision,vascular invasion,nerve invasion,pT stage and pN stagewere the influencing factors on the prognosis of gastric cancer patients(P＜0.05).The results of multifactorial regression analysis showed that intraoperative bleeding,preoperative CEA,preoperative CA199,IBI,tumor diameter size,pT stage and pN stagewere independent risk factors affecting the prognosis of gastric cancer patients(P＜0.05).The median OS of patients in the high IBI group and low IBI group were 32.9 months and 74.8 months,respectively,with statistically significant differences(P＜0.001).Conclusion IBI is an independent risk factor for poor prognosis of patients with gastric cancer,and it has a good predictive value in diagnosis and prognosis.

Objective To propose a liver ultraound image classification model based on bimodal fusion and deep residual network to enhance the diagnosis accuracy of space-occupying lesions(SOLs)of liver.Methods Firstly,a liver ultrasound dataset containing 164 lesions from 100 patients was constructed,including the ultrasound and ultrasonography videos of the patients.Secondly,the parallel residual block was introduced to improve the ResNet-18 network,and the simple attention module and coordinate attention mechanism were used to extract the image features of ultrasound and echography videos,respectively.Finally,a bimodal fusion network was developed with the image features of ultrasound and sonography videos,which was combined with the improved ResNet-18 network to form an ultrasound image classification model.The ultrasound image classification model proposed underwent performance verification by ablation experiment,application evaluation,diagnosis efficacy evaluation,significance evaluation for assisting surgical operation and comparison with the existing classification models in terms of image classification ability.Results The ablation experiment results showed that the proposed model performed the best in classification speed and accuracy when compared with the existing classification models,with a floating-point operation speed of 5.328×109/s,an average accuracy of 0.941 and a calculation speed of 245.266 frames/s.The application evaluation results indicated when compared with the existing classification models the proposed model had the best convergence performance of the loss function curve and the lowest misdiagnosis rate of 7.03%.The diagnosis efficacy evaluation results proved the proposed model gained advantages over other models in diagnostic efficacy,with a sensitivity of 89.38%,a specificity of 94.12%,an accuracy of 90.85%,a positive predictive value of 97.12%and a negative predictive value of 80.00%.The significance evaluation for assisting surgical operation found when compared with the existing classification models the proposed model had the shortest end-to-end delay of 723 ms;laparoscopic hepatectomy assisted with the proposed model had the blood loss reduced by 109.832 mL when compared with the traditional laparoscopic procedure,with the difference being statistically significant(P<0.05).Conclusion The proposed model enhances the diagnosis efficiency and accuracy of ultrasond SOLs of liver,providing support for clinical diagnosis and surgical assistance.[Chinese Medical Equipment Journal,2025,46(10):9-16]

Three failures of YLY-020Y acidic oxidation potential water generator were introduced,and the causes and specific troubleshooting measures were explored.References were provided for engineers to treat similar failures.[Chinese Medical Equipment Journal,2025,46(10):118-120]

Objective To explore the effects of alpha-mangostin(α-MG)on the in vitro osteoarthritis(OA)in rat chondrocytes induced by lipopolysaccharide(LPS)and the M1 polarization of macrophages.Methods An in vitro OA model of rat chondrocytes was induced by LPS.Both rat chondrocytes and macrophages were divided into the control group(normal culture),LPS group(stimulated with 1 μg/mL LPS for 24 hours),LPS+α-MG group(stimulated with 40 μmol/L α-MG combined with 1 μg/mL LPS for 24 hours),LPS+α-MG si-NC group(transfected with 70 μg/mL si-NC and stimulated with 40 μmol/L α-MG and 1 μg/mL LPS for 24 hours),and LPS+α-MG+si-BDNF group(transfected with 70 μg/mL si-BDNF and stimulated with 40 μmol/L α-MG and 1 μg/mL LPS for 24 hours).CCK-8 assay was used to detect the proliferative viability of chondrocytes and macrophages in each group,and flow cytometry was used to detect the apoptosis of chondrocytes and the polarization of macrophages.ELISA was used to detect the levels of interleukin(IL)-1β,IL-6,and tumor necrosis factor(TNF)-α of chondrocytes in each group.Western blot was used to detect the expression of BDNF,PI3K,and Akt in chondrocytes and macrophages.Results In chondrocytes,compared with the control group,the LPS group had decreased cell proliferation rate,increased cell apoptosis rate,down-regulated expression of BDNF,PI3K and Akt proteins,and up-regulated levels of IL-1β,IL-6 and TNF-α(P<0.05);compared with the LPS group,the LPS+α-MG group showed increased cell proliferation rate,decreased cell apoptosis rate,up-regulated expression of BDNF,PI3K and Akt proteins,and down-regulated levels of IL-1β,IL-6 and TNF-α(P<0.05);compared with the LPS+α-MG+si-NC group,the LPS+α-MG si-BDNF group demonstrated decreased cell proliferation rate,increased cell apoptosis rate,down-regulated expression of BDNF,PI3K and Akt proteins,and increased levels of IL-1β,IL-6 and TNF-α(P<0.05).In macrophages,compared with the control group,the LPS group had decreased cell proliferation rate,increased proportion of M1 cells,and down-regulated expression of BDNF,PI3K and Akt proteins(P<0.05);compared with the LPS group,the LPS+α-MG group showed increased cell proliferation rate,decreased proportion of M1 cells,and up-regulated expression of BDNF,PI3K and Akt proteins(P<0.05);compared with the LPS+α-MG+si-NC group,the LPS+α-MG+si-BDNF group showed decreased cell proliferation rate,increased proportion of M1 cells,and down-regulated expression of BDNF,PI3K and Akt proteins(P<0.05).Conclusion α-MG inhibits the M1 polarization of macrophages to improve the apoptosis and inflammation of rat chondrocytes by activating the BDNF/PI3K/Akt signaling pathway.

Objective:To identify the latent profiles of transition shock among newly employed nurses and explore its influencing factors.Methods:This study was a cross-sectional study. Using the convenience sampling method, 215 newly employed nurses were selected as the research subjects. The General Information Questionnaire for Newly Employed Nurses, the New Nurse Transition Shock Evaluation Scale, and the Adversity Quotient Scale were used for the survey. The method of latent profile analysis was adopted to identify the types of nurses' transition shock.Results:There were three categories of transition shock among newly employed nurses. Among them, there were 134 nurses (62.32%) with moderate transition shock, 37 nurses (17.21%) with low-level transition shock and positive psychology, and 44 nurses (20.47%) with high-level transition shock and lack of knowledge and skills. Gender, whether being an only child, reasons for choosing a career, and adversity quotient were the influencing factors of the latent profiles of nurses' transition shock ( P<0.05) . Conclusions:The transition shock of newly employed nurses is at a moderate level, with three latent types: moderate transition shock type, low-level transition shock-positive psychology type, and high-level transition shock-lack of knowledge and skills type. Managers should formulate detailed intervention strategies according to the influencing factors of different categories to reduce the level of transition shock among newly employed nurses.

Objective To propose a liver ultraound image classification model based on bimodal fusion and deep residual network to enhance the diagnosis accuracy of space-occupying lesions(SOLs)of liver.Methods Firstly,a liver ultrasound dataset containing 164 lesions from 100 patients was constructed,including the ultrasound and ultrasonography videos of the patients.Secondly,the parallel residual block was introduced to improve the ResNet-18 network,and the simple attention module and coordinate attention mechanism were used to extract the image features of ultrasound and echography videos,respectively.Finally,a bimodal fusion network was developed with the image features of ultrasound and sonography videos,which was combined with the improved ResNet-18 network to form an ultrasound image classification model.The ultrasound image classification model proposed underwent performance verification by ablation experiment,application evaluation,diagnosis efficacy evaluation,significance evaluation for assisting surgical operation and comparison with the existing classification models in terms of image classification ability.Results The ablation experiment results showed that the proposed model performed the best in classification speed and accuracy when compared with the existing classification models,with a floating-point operation speed of 5.328×109/s,an average accuracy of 0.941 and a calculation speed of 245.266 frames/s.The application evaluation results indicated when compared with the existing classification models the proposed model had the best convergence performance of the loss function curve and the lowest misdiagnosis rate of 7.03%.The diagnosis efficacy evaluation results proved the proposed model gained advantages over other models in diagnostic efficacy,with a sensitivity of 89.38%,a specificity of 94.12%,an accuracy of 90.85%,a positive predictive value of 97.12%and a negative predictive value of 80.00%.The significance evaluation for assisting surgical operation found when compared with the existing classification models the proposed model had the shortest end-to-end delay of 723 ms;laparoscopic hepatectomy assisted with the proposed model had the blood loss reduced by 109.832 mL when compared with the traditional laparoscopic procedure,with the difference being statistically significant(P<0.05).Conclusion The proposed model enhances the diagnosis efficiency and accuracy of ultrasond SOLs of liver,providing support for clinical diagnosis and surgical assistance.[Chinese Medical Equipment Journal,2025,46(10):9-16]

Three failures of YLY-020Y acidic oxidation potential water generator were introduced,and the causes and specific troubleshooting measures were explored.References were provided for engineers to treat similar failures.[Chinese Medical Equipment Journal,2025,46(10):118-120]