This article provides a systematic interpretation and review of the Society of Critical Care Medicine 2024 Guidelines on Adult ICU Design. Developed based on the Grading of Recommendations Assessment, Development and Evaluation methodology, the guideline address five core themes: ICU layout, room design, infection control, infrastructure, and staff spaces, and put forward 17 evidence-based recommendations, including 5 good practice statements. This article briefly introduces the guideline development methods and evidence characteristics, and focuses on summarizing key recommendations, including high-visibility layouts, single-bed ward settings, natural lighting and noise reduction strategies, integrated infection prevention and control design, remote monitoring, and flexible capacity expansion capabilities. Furthermore, it delves into the applicability and localized implementation pathways within China's healthcare environment, analyzing limitations in terms of evidence quality, specialty applicability, and cost-effectiveness. Furthermore, by integrating the Chinese Guidelines for the Construction and Development of Critical Care Medicine (2025 Edition) and current domestic practices, the article proposes tiered and phased implementation recommendations. This article aims to provide domestic healthcare institutions with a scientific reference that balances international cutting-edge concepts with China's real-world conditions for the construction and renovation of ICUs, thereby promoting the development of intensive care environments centered on patient safety, healthcare worker well-being, and infection control.

Objective To analyze the main epidemiological characteristics of fungal infection in this hospital in the past 7 years,and to provide reference for clinical treatment and prevention and control strategies of fun-gal infection.Methods The fungal data and clinical data of related patients isolated from clinical samples in Peking Union Medical College Hospital from early January 2018 to the end of May 2024 were selected,and the main epidemiological characteristics of fungal infection in this hospital were identified and described through multi-angle statistical analysis.Results A total of 4 479 patients with filamentous fungal infection were en-rolled.The proportion of male patients[57.5％(2 576/4 479)]was higher than that of female patients[42.5％(1 903/4 143)],mainly distributed in internal medicine,Intensive Care Unit(ICU)and emergency de-partment,among which internal medicine accounted for the highest proportion[50.0％(2 241/4 479)].About 90.0％of the specimens were from the lower respiratory tract,in addition to specimens from skin and soft tis-sue,tissue,ear and blood culture.In terms of seasonal distribution,there are more patients in winter.The fun-gi were mainly composed of Aspergillus,Mucor,Cerdosporium,Fusarium and Penicillium,among which As-pergillus was the most abundant,accounting for 74.6％of the total.Aspergillus fumigatus was the most a-bundant Aspergillus,accounting for 42.5％of the total Aspergillus(1 418/3 340).Among the related infec-tions caused by mold,Aspergillus was the most common in the lower respiratory tract,accounting for 76.8％.Among them,Aspergillus fumigatus accounted for the highest proportion(33.6％).98.6％of the molds infected the ear were Aspergillus,of which Aspergillus niger and Aspergillus terreus were the most common.Skin infections are mainly caused by Sporothrix schenckii,Trichophyton rubrum,Microsporum ca-nis.The results of in vitro drug sensitivity test showed that the four common Aspergillus isolated in this hos-pital were sensitive to voriconazole,and amphotericin B had better antifungal activity against Mucorales in vitro.Conclusion Based on the main epidemiological characteristics of fungal infections in this hospital,it is recommended that special attention be paid to the admission of patients in the respiratory department during the peak infection period in autumn and winter.In the treatment of fungal infections in different regions and on different body parts,attention should be paid to the differences in the distribution of bacterial species.

Objective:To evaluate the association between body mass index (BMI) and bone mineral density of calcaneus in adults.Methods:Data of the second resurvey of China Kadoorie Biobank study from Tongxiang of Zhejiang Province were used. A total of 2 896 participants aged 44-84 years were included in the final analysis. Overweight was defined as 23.0 kg/m 2≤BMI<25.0 kg/m 2, and obesity was defined as BMI ≥25.0 kg/m 2 based on the criteria recommended by WHO/West Pacific Region. Multiple linear regression model was used to evaluate the association between BMI and calcaneus bone mineral density. Restricted cubic splines were used to investigate the dose-response relationship between BMI and calcaneus bone mineral density. Results:The calcaneus bone mineral density in the study subjects were as follow ( x± SE): the broadband ultrasound attenuation was (109.4±12.1) dB/MHz, the speed of ultrasound was (1 545.9±33.8) m/s, and the stiffness index was 85.7±15.8. After adjusting for socio-demographic factors, lifestyle, waist circumference, diabetes and hypertension prevalence, BMI was positively associated with calcaneus stiffness index in non-overweight and non-obese adults, with β of 2.30 (95% CI: 1.11-3.49) for men ( P<0.001) and 1.08 (95% CI: 0.38-1.78) for women ( P=0.003), respectively. In addition, BMI was positively associated with calcaneus stiffness index in overweight and obese women ( β=0.90, 95% CI: 0.38-1.42) ( P<0.001), and null association was found in overweight and obese men ( β=0.06, 95% CI: -0.92-1.04) ( P=0.900). Restricted cubic spline model showed a nonlinear dose-response relationship between BMI and calcaneus stiffness index. Conclusion:Non-linear association was found between BMI with calcaneus bone mineral density in adults.

Objective:To evaluate the association between body mass index (BMI) and bone mineral density of calcaneus in adults.Methods:Data of the second resurvey of China Kadoorie Biobank study from Tongxiang of Zhejiang Province were used. A total of 2 896 participants aged 44-84 years were included in the final analysis. Overweight was defined as 23.0 kg/m 2≤BMI<25.0 kg/m 2, and obesity was defined as BMI ≥25.0 kg/m 2 based on the criteria recommended by WHO/West Pacific Region. Multiple linear regression model was used to evaluate the association between BMI and calcaneus bone mineral density. Restricted cubic splines were used to investigate the dose-response relationship between BMI and calcaneus bone mineral density. Results:The calcaneus bone mineral density in the study subjects were as follow ( x± SE): the broadband ultrasound attenuation was (109.4±12.1) dB/MHz, the speed of ultrasound was (1 545.9±33.8) m/s, and the stiffness index was 85.7±15.8. After adjusting for socio-demographic factors, lifestyle, waist circumference, diabetes and hypertension prevalence, BMI was positively associated with calcaneus stiffness index in non-overweight and non-obese adults, with β of 2.30 (95% CI: 1.11-3.49) for men ( P<0.001) and 1.08 (95% CI: 0.38-1.78) for women ( P=0.003), respectively. In addition, BMI was positively associated with calcaneus stiffness index in overweight and obese women ( β=0.90, 95% CI: 0.38-1.42) ( P<0.001), and null association was found in overweight and obese men ( β=0.06, 95% CI: -0.92-1.04) ( P=0.900). Restricted cubic spline model showed a nonlinear dose-response relationship between BMI and calcaneus stiffness index. Conclusion:Non-linear association was found between BMI with calcaneus bone mineral density in adults.

Objective To explore the biological functions of pyroptosis-related genes in pneumonic plague using bioinformatics methods,and to evaluate their potential applicability as diagnostic markers.Methods The pneumonic plague-related dataset GSE220123 was retrieved from the Gene Expression Omnibus(GEO)database and screened for differentially expressed pyroptosis-related genes(DE-PRGs).The functions of DE-PRGs were studied via Gene Ontology(GO),Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses,and immune infiltration analysis.The hub genes were identified via protein-protein interaction(PPI)network analysis,and further screened for key genes with sustained high expression characteristics based on differential expression analysis.The relative expression levels of the key genes were verified using the reverse transcription real-time quantitative PCR(qPCR)method.Results A total of 17 DE-PRGs were screened,and PPI network analysis revealed 7 Hub genes.Among them,Casp4 continued to be up-regulated during the course of pneumonic plague.The results of reverse transcription qPCR were consistent with the those of bioinformatic analyses.Conclusion DE-PRGs play a crucial role in the immune response of pneumonic plague,especially Casp4,which has significant applications as a diagnostic biomarker and potential therapeutic target for pneumonic plague.

OBJECTIVE T o compare the biological characteristics,drug resistance and pathogenicity between two strains of mucoid Pseudomonas aeruginosa and the standard strain PAO1.METHODS The strains were identified,and biofilms were detected by 96-well plates method.The bacterial drug resistance was detected by fully automatic drug susceptibility analysis system,the expression levels of RNA of virulence factors were detected by real-time fluorescent quantitative polymerase chain reaction(RT-PCR);the models of rats with pneumonia infection were established through liquid aerosol lung delivery method,the survival status of the rats was observed,and the lev-els of cytokines in bronchoalveolar lavage fluid(BALF)were detected.RESULTS NY4593,NY4605 and PAO1 strains were successfully isolated and identified.NY4593 and NY4605 showed high-yield biofilms,while PAO1 showed low-yield biofilms.The drug resistance rates of NY4593 and NY4605 were remarkably higher than those of the PAO1.The expression levels of exoT and exoY gene RNA of the NY4593 and NY4605 strains were higher than those of the PAO1 strains(P＜0.05);the expression level of exoS gene RNA of the NY4605 was lower than that of the PAO1(P＜0.05).Under the same infection dose,the PAO1 showed more powerful pathogenicity,and the secretion volumes of inflammatory factors interleukin-6(IL-6),interleuki-1β(IL-1β)and interleukin-17A(IL-17A)of the PAO1 were(2858.00±150.30)pg/ml,(7821.00±761.20)pg/ml and(1079.00±225.40)pg/ml respectively,remarkably higher than those of the NY4593 and NY4605(P＜0.05).CONCLUSION The clini-cal mucoid NY4593 and NY4605 remarkably differ from PAO1 in biology and pathogenicity.The study may facilitate deep understanding of the mechanisms of PA infection and provide guidance for clinical treatment,prevention and control.

Gastric cancer(GC) ranks among the most prevalent cancers and is a leading cause of cancer-related mortality globally. Recently, artificial intelligence(AI) has enhanced the dia-gnosis and treatment of GC, as well as the accuracy and sensitivity of personalized treatment strategies due to its efficient computational and learning capabilities. The authors review the clinical applications of AI-based medical imaging and digital pathology in GC diagnosis and treatment, inclu-ding early screening and diagnosis, differential diagnosis, lymph node and peritoneal metastasis, molecular typing, monitoring of treatment efficacy, and prognostic assessment. In addition, future directions and challenges in the field are discussed, emphasizing the importance of integrating AI technology into clinical practice.

OBJECTIVE T o compare the biological characteristics,drug resistance and pathogenicity between two strains of mucoid Pseudomonas aeruginosa and the standard strain PAO1.METHODS The strains were identified,and biofilms were detected by 96-well plates method.The bacterial drug resistance was detected by fully automatic drug susceptibility analysis system,the expression levels of RNA of virulence factors were detected by real-time fluorescent quantitative polymerase chain reaction(RT-PCR);the models of rats with pneumonia infection were established through liquid aerosol lung delivery method,the survival status of the rats was observed,and the lev-els of cytokines in bronchoalveolar lavage fluid(BALF)were detected.RESULTS NY4593,NY4605 and PAO1 strains were successfully isolated and identified.NY4593 and NY4605 showed high-yield biofilms,while PAO1 showed low-yield biofilms.The drug resistance rates of NY4593 and NY4605 were remarkably higher than those of the PAO1.The expression levels of exoT and exoY gene RNA of the NY4593 and NY4605 strains were higher than those of the PAO1 strains(P＜0.05);the expression level of exoS gene RNA of the NY4605 was lower than that of the PAO1(P＜0.05).Under the same infection dose,the PAO1 showed more powerful pathogenicity,and the secretion volumes of inflammatory factors interleukin-6(IL-6),interleuki-1β(IL-1β)and interleukin-17A(IL-17A)of the PAO1 were(2858.00±150.30)pg/ml,(7821.00±761.20)pg/ml and(1079.00±225.40)pg/ml respectively,remarkably higher than those of the NY4593 and NY4605(P＜0.05).CONCLUSION The clini-cal mucoid NY4593 and NY4605 remarkably differ from PAO1 in biology and pathogenicity.The study may facilitate deep understanding of the mechanisms of PA infection and provide guidance for clinical treatment,prevention and control.

Gastric cancer(GC) ranks among the most prevalent cancers and is a leading cause of cancer-related mortality globally. Recently, artificial intelligence(AI) has enhanced the dia-gnosis and treatment of GC, as well as the accuracy and sensitivity of personalized treatment strategies due to its efficient computational and learning capabilities. The authors review the clinical applications of AI-based medical imaging and digital pathology in GC diagnosis and treatment, inclu-ding early screening and diagnosis, differential diagnosis, lymph node and peritoneal metastasis, molecular typing, monitoring of treatment efficacy, and prognostic assessment. In addition, future directions and challenges in the field are discussed, emphasizing the importance of integrating AI technology into clinical practice.

Mastitis is one of the most widespread infectious diseases that adversely affects the profitability of the dairy industry worldwide. Accurate diagnosis and identification of pathogens early to cull infected animals and minimize the spread of infection in herds is critical for improving treatment effects and dairy farm welfare. The major pathogens causing mastitis and pathogenesis are assessed first. The most recent and advanced strategies for detecting mastitis, including genomics and proteomics approaches, are then evaluated .Finally, the advantages and disadvantages of each technique, potential research directions, and future perspectives are reported. This review provides a theoretical basis to help veterinarians select the most sensitive, specific, and cost-effective approach for detecting bovine mastitis early.