Objective To explore the damage results and structural response laws of medical cabins in ships under explosion attack.Methods Firstly,the cabin structure was equivalently regarded as a T-shaped plate frame based on the explosion load theory,then four finite element models for the medical cabins were established with the dimensions(length ×width×height)of 2.8 m×2.6 m×2.3 m,3.2 m×3.2 m×2.4 m,4.2 m×3.2 m×2.5 m and 5.4 m×4.0 m×2.6 m.Secondly,an explosion damage model was constructed using ABAQUS simulation software,and explosion damage simulation was carried out with the explosion locating at the cabin center and the outside of the bulkhead and the explosion energy of 10 kg and 100 kg trinitrotoluene(TNT)equivalent.Finally,the 10 kg and 100 kg TNT explosion damage results were ananlyzed at the cabin center and the outside of the bulkhead.Results At the cabin center,10 kg TNT explosion resulted in local deformation and limited affected area of the large-sized cabin,while 100 kg TNT explosion lead to extensive affected ranges in the functional areas and severe deformation and damage in the small-sized cabin.At the outside of the bulkhead,10 kg TNT explosion gave rise to breaches in some areas of the small-sized cabin and local deformation of the large-sized cabin,while 100 kg TNT explosion caused large breaches in all the cabins.Conclusion The explosion load induces serious deformation and damage and complicated breaches in the cabin with small size and weak structural strength.The cabin with large size and thick bulkhead and stiffener behaves well in explosion resistance,while high equivalent explosions may bring about serious damage to its local structure.[Chinese Medical Equipment Journal,2025,46(1):27-32]

Objective To explore the damage results and structural response laws of medical cabins in ships under explosion attack.Methods Firstly,the cabin structure was equivalently regarded as a T-shaped plate frame based on the explosion load theory,then four finite element models for the medical cabins were established with the dimensions(length ×width×height)of 2.8 m×2.6 m×2.3 m,3.2 m×3.2 m×2.4 m,4.2 m×3.2 m×2.5 m and 5.4 m×4.0 m×2.6 m.Secondly,an explosion damage model was constructed using ABAQUS simulation software,and explosion damage simulation was carried out with the explosion locating at the cabin center and the outside of the bulkhead and the explosion energy of 10 kg and 100 kg trinitrotoluene(TNT)equivalent.Finally,the 10 kg and 100 kg TNT explosion damage results were ananlyzed at the cabin center and the outside of the bulkhead.Results At the cabin center,10 kg TNT explosion resulted in local deformation and limited affected area of the large-sized cabin,while 100 kg TNT explosion lead to extensive affected ranges in the functional areas and severe deformation and damage in the small-sized cabin.At the outside of the bulkhead,10 kg TNT explosion gave rise to breaches in some areas of the small-sized cabin and local deformation of the large-sized cabin,while 100 kg TNT explosion caused large breaches in all the cabins.Conclusion The explosion load induces serious deformation and damage and complicated breaches in the cabin with small size and weak structural strength.The cabin with large size and thick bulkhead and stiffener behaves well in explosion resistance,while high equivalent explosions may bring about serious damage to its local structure.[Chinese Medical Equipment Journal,2025,46(1):27-32]

Objective To evaluate the blast damage of the medical cabin in the coast guard ship based on the neural network prediction model.Methods Firstly,a cabin finite element model was established with the typical medical cabin in some coast guard ship as the subject;secondly,ABAQUS simulation software was used to construct a blast damage simulation model and perform blast damage numerical simulation;thirdly,three neural network prediction models respectively based on Levenberg-Marquardt,Bayesian regularization and conjugate gradient algorithms were formed with the sample data from the simulation results and MATLAB software;finally,visualization over the prediction results of the neural network prediction models was carried out in terms of three blast conditions at the interior,bulkhead and near field of the cabin,and the blast damage to the cabin was analyzed with reference to the simulation results.Results Near the observation points the damage prediction results by the models were similar to those by the simulation.The blasts at the interior and bulkhead both resulted in obvious damages to the cabin framework,with serious effects and large damage areas;near-field blasts did not cause direct damage to the inter-nal framework of the cabin.Conclusion The neural network prediction model forecasts the blast damage to the medical carin in the coast guard ship,and references are provided for the structural design of the cabins in the coast guard ship.[Chinese Medical Equipment Journal,2024,45(12):14-18]

AIM To investigate the consistency of chemical constituents between formula granules and standard decoction of Coptidis Rhizoma.METHODS Eighteen batches of standard decoctions were prepared,after which the extraction rate and contents,transfer rates of magnolflorine,jatrorrhizine,columbamine,epiberberine,coptisine,palmatine,berberin were determined,HPLC characteristic chromatograms were established.RESULTS There were 11 common peaks in the characteristic chromatograms of 18 batches of standard decoctions and 24 batches of formula granules with the similarities of 0.861-1.000,which were clusterd into two categories.The formula granules and standard decoction demonstrated approximated extraction rate and contents,transfer rates of index constituents.CONCLUSION The chemical constituents between formula granules and standard decoction of Coptidis Rhizoma display good consistency,which can provide references for the quality control,process research and clinical application of the former.

Objective To explore the postmortem diffusion rule of Aconitum alkaloids and their metabo-lites in poisoned rabbits,and to provide a reference for identifying the antemortem poisoning or post-mortem poisoning of Aconitum alkaloids.Methods Twenty-four rabbits were sacrificed by tracheal clamps.After 1 hour,the rabbits were administered with aconitine LD50 in decocting aconite root powder by intragastric administration.Then,they were placed supine and stored at 25℃.The biological samples from 3 randomly selected rabbits were collected including heart blood,peripheral blood,urine,heart,liver,spleen,lung and kidney tissues at 0 h,4 h,8 h,12 h,24 h,48 h,72 h and 96 h after intragastric administration,respectively.Aconitum alkaloids and their metabolites in the biological samples were ana-lyzed by high performance liquid chromatography-tandem mass spectrometry(HPLC-MS/MS).Results At 4 h after intragastric administration,Aconitum alkaloids and their metabolites could be detected in heart blood,peripheral blood and major organs,and the contents of them changed dynamically with the preservation time.The contents of Aconitum alkaloids and their metabolites were higher in the spleen,liver and lung,especially in the spleen which was closer to the stomach.The average mass fraction of benzoylmesaconine metabolized in rabbit spleen was the highest at 48 h after intragastric administration.In contrast,the contents of Aconitum alkaloids and their metabolites in kidney were all lower.Aconi-tum alkaloids and their metabolites were not detected in urine.Conclusion Aconitum alkaloids and their metabolites have postmortem diffusion in poisoned rabbits,diffusing from high-content organs(stomach)to other major organs and tissues as well as the heart blood.The main mechanism is the dispersion along the concentration gradient,while urine is not affected by postmortem diffusion,which can be used as the basis for the identification of antemortem and postmortem Aconitum alkaloids poisoning.

A qualitative identification method for Salmonella using high-performance liquid chromatography-tandem mass spectrometry(HPLC-MS/MS)with multiple reaction monitoring(MRM)mode was established.Eight characteristic peptides were selected,and their MRM parameters were optimized.Furthermore,the performance of this HPLC-MS/MS method in species identification was further evaluated.Experimental results demonstrated that this method exhibited high specificity,enabling accurate differentiation of Salmonella from conventional food-borne pathogens.In a milk matrix,the 50%limit of detection(LOD50)was determined to be 0.35 CFU/25 g.This method was successfully applied to qualitatively identify Salmonellain five artificially contaminated food samples.The method presented here,in contrast to traditional biochemical assays,offered both speed and specificity,providing a novel means for the rapid and accurate identification of Salmonella in food.It held significant implications for the surveillance,prevention,and control of food-borne diseases.

Objective To evaluate the blast damage of the medical cabin in the coast guard ship based on the neural network prediction model.Methods Firstly,a cabin finite element model was established with the typical medical cabin in some coast guard ship as the subject;secondly,ABAQUS simulation software was used to construct a blast damage simulation model and perform blast damage numerical simulation;thirdly,three neural network prediction models respectively based on Levenberg-Marquardt,Bayesian regularization and conjugate gradient algorithms were formed with the sample data from the simulation results and MATLAB software;finally,visualization over the prediction results of the neural network prediction models was carried out in terms of three blast conditions at the interior,bulkhead and near field of the cabin,and the blast damage to the cabin was analyzed with reference to the simulation results.Results Near the observation points the damage prediction results by the models were similar to those by the simulation.The blasts at the interior and bulkhead both resulted in obvious damages to the cabin framework,with serious effects and large damage areas;near-field blasts did not cause direct damage to the inter-nal framework of the cabin.Conclusion The neural network prediction model forecasts the blast damage to the medical carin in the coast guard ship,and references are provided for the structural design of the cabins in the coast guard ship.[Chinese Medical Equipment Journal,2024,45(12):14-18]

Objective: To analyze the prevalence and the risk factors of fungal sepsis in 25 neonatal intensive care units (NICU) among preterm infants in China, and to provide a basis for preventive strategies of fungal sepsis. Methods: This was a second-analysis of the data from the "reduction of infection in neonatal intensive care units using the evidence-based practice for improving quality" study. The current status of fungal sepsis of the 24 731 preterm infants with the gestational age of <34⁺⁰ weeks, who were admitted to 25 participating NICU within 7 days of birth between May 2015 and April 2018 were retrospectively analyzed. These preterm infants were divided into the fungal sepsis group and the without fungal sepsis group according to whether they developed fungal sepsis to analyze the incidences and the microbiology of fungal sepsis. Chi-square test was used to compare the incidences of fungal sepsis in preterm infants with different gestational ages and birth weights and in different NICU. Multivariate Logistic regression analysis was used to study the outcomes of preterm infants with fungal sepsis, which were further compared with those of preterm infants without fungal sepsis. The 144 preterm infants in the fungal sepsis group were matched with 288 preterm infants in the non-fungal sepsis group by propensity score-matched method. Univariate and multivariate Logistic regression analysis were used to analyze the risk factors of fungal sepsis. Results: In all, 166 (0.7%) of the 24 731 preterm infants developed fungal sepsis, with the gestational age of (29.7±2.0) weeks and the birth weight of (1 300±293) g. The incidence of fungal sepsis increased with decreasing gestational age and birth weight (both P<0.001). The preterm infants with gestational age of <32 weeks accounted for 87.3% (145/166). The incidence of fungal sepsis was 1.0% (117/11 438) in very preterm infants and 2.0% (28/1 401) in extremely preterm infants, and was 1.3% (103/8 060) in very low birth weight infants and 1.7% (21/1 211) in extremely low birth weight infants, respectively. There was no fungal sepsis in 3 NICU, and the incidences in the other 22 NICU ranged from 0.7% (10/1 397) to 2.9% (21/724), with significant statistical difference (P<0.001). The pathogens were mainly Candida (150/166, 90.4%), including 59 cases of Candida albicans and 91 cases of non-Candida albicans, of which Candida parapsilosis was the most common (41 cases). Fungal sepsis was independently associated with increased risk of moderate to severe bronchopulmonary dysplasia (BPD) (adjusted OR 1.52, 95%CI 1.04-2.22, P=0.030) and severe retinopathy of prematurity (ROP) (adjusted OR 2.55, 95%CI 1.12-5.80, P=0.025). Previous broad spectrum antibiotics exposure (adjusted OR=2.50, 95%CI 1.50-4.17, P<0.001), prolonged use of central line (adjusted OR=1.05, 95%CI 1.03-1.08, P<0.001) and previous total parenteral nutrition (TPN) duration (adjusted OR=1.04, 95%CI 1.02-1.06, P<0.001) were all independently associated with increasing risk of fungal sepsis. Conclusions: Candida albicans and Candida parapsilosis are the main pathogens of fungal sepsis among preterm infants in Chinese NICU. Preterm infants with fungal sepsis are at increased risk of moderate to severe BPD and severe ROP. Previous broad spectrum antibiotics exposure, prolonged use of central line and prolonged duration of TPN will increase the risk of fungal sepsis. Ongoing initiatives are needed to reduce fungal sepsis based on these risk factors.
Infant ; Infant, Newborn ; Humans ; Birth Weight ; Intensive Care Units, Neonatal ; Retrospective Studies ; Tertiary Care Centers ; Infant, Extremely Low Birth Weight ; Gestational Age ; Infant, Extremely Premature ; Sepsis/epidemiology* ; Retinopathy of Prematurity/epidemiology* ; Bronchopulmonary Dysplasia/epidemiology*

PURPOSE: High explosives are used to produce blast waves to study their biological effects. The lungs are considered as the critical target organ in blast-effect studies. The degree of lung hemorrhaging is related to both the explosive power and the increased lung weight. We studied the characteristics of the biological effects from an air explosion of a thermobaric bomb in a high-altitude environment and the lethality and lung injury severity of goats in different orientations and distances. METHODS: Goats were placed at 2.5, 3, 4, and 5 m from the explosion center and exposed them to an air blast at an altitude of 4700-meter. A group of them standing oriented to the right side and the other group seated facing the explosion center vertically. The lung injuries were quantified according to the percentage of surface area contused, and using the pathologic severity scale of lung blast injury (PSSLBI) to score the 4 injury categories (slight, moderate, serious and severe) as 1, 2, 3, and 4, respectively. The lung coefficient (lung weight [g]/body weight [kg]) was the indicator of pulmonary edema and was related to lung injury severity. Blast overpressure data were collected using blast test devices placed at matching locations to represent loadings to goats. All statistical analyses were performed using SPSS, version 26.0, statistical software (SPSS, Inc., Chicago, IL, USA). RESULTS: In total, 127 goats were involved in this study. Right-side-standing goats had a significantly higher mortality rate than those seated vertical-facing (p < 0.05). At the 2.5 m distance, the goat mortality was nearly 100%, whereas at 5 m, all the goats survived. Lung injuries of the right-side-standing goats were 1 - 2 grades more serious than those of seated goats at the same distances, the scores of PSSLBI were significantly higher than the seated vertical-facing goats (p < 0.05). The lung coefficient of the right-side-standing goats were significantly higher than those of seated vertical-facing (p < 0.05). Mortality, PSSLBI, and the lung coefficient results indicated that the right-side-standing goats experienced severer injuries than the seated vertical-facing goats, and the injuries were lessened as the distance increased. The blast overpressure was consistent with these results. CONCLUSION The main killing factors of the thermobaric bomb in the high-altitude environment were blast overpressure, blast wind propulsions and burn. The orientation and distances of the goats significantly affected the blast injury severity. These results may provide a research basis for diagnosing, treating and protecting against injuries from thermobaric explosions.
Animals ; Lung Injury/etiology* ; Blast Injuries ; Goats ; Explosions ; Lung/pathology*

Humans ; Consensus ; Hypersensitivity ; Desensitization, Immunologic/adverse effects* ; Immunotherapy/adverse effects* ; Injections, Subcutaneous ; Allergens