OBJECTIVE: Photodynamic therapy has become an important method in clinical tumor treatment. This study aimed to investigate the effects of hematoporphyrin on multiple myeloma (MM) and its potential applications. METHODS: The MM cell line RPMI 8226 was treated with hematoporphyrin derivative (HPD), and CCK-8 assay was used to determine cell viability, apoptosis was detected by flow cytometry, intracellular reactive oxygen species (ROS) levels were measured using a detection kit combined with flow cytometry, and Western blot assay was used to detect apoptosis-related proteins and key signaling pathway protein levels. RESULTS: The optimal incubation time for the maximum absorption of HPD in RPMI 8226 cells was 4 hours. HPD significantly inhibited the proliferation of RPMI 8226 cells in a dose- and illumination time-dependent manner ( r =0.981; r =0.961). Additionally, HPD induced apoptosis in RPMI 8226 cells, but had no significant inhibitory effect on peripheral blood mononuclear cells derived from healthy individuals. HPD combined with illumination treatment significantly increased the intracellular ROS level, upregulated the expression of apoptosis-related proteins such as cleaved PARP, cleaved caspase-3 and Bax, and down-regulated the expression of proteins that maintain cell survival, such as NF-κB and Akt. CONCLUSION The HPD can inhibit the proliferation and induce apoptosis of multiple myeloma cells.
Humans ; Multiple Myeloma/pathology* ; Hematoporphyrins/pharmacology* ; Apoptosis/drug effects* ; Cell Line, Tumor ; Reactive Oxygen Species/metabolism* ; Cell Proliferation/drug effects* ; Photochemotherapy ; Cell Survival/drug effects* ; Signal Transduction

Objective To explore the application value of MRI diaphragmatic navigation technology combined with three dimensional liver acquisition with volume acceleration-flexible(3D LAVA-FLEX)sequence in abdominal enhanced imaging of infants and young children.Methods A retrospective analysis was conducted on imaging data of 84 infants and young children who underwent abdominal enhanced MRI examination in our hospital between January 2021 and December 2023.All 84 infants and young children initially underwent conventional dynamic contrast-enhanced 3D LAVA-FLEX sequence scanning;the delayed phase images obtained were included in the dynamic enhancement group.Subsequently,diaphragmatic navigation combined with 3D LAVA-FLEX sequence examination was implemented,and the obtained images were included in the diaphragm navigation group.Subjective scoring was performed for images in both groups,while the signal to noise ratio(SNR),contrast to noise ratio(CNR),and artifact quantification(AQ)were measured and compared between the two groups.Results The respiratory motion artifacts,the clarity of liver parenchyma enhancement,the clarity of liver vascular enhancement,the clarity of spleen parenchyma enhancement and the overall image quality score in the diaphragm navigation group were higher than those in the dynamic enhancement group,and the differences were statistically significant(P<0.05).There were statistically significant differences in SNR and AQ between the two groups of images(P<0.000 1),while there was no statistically significant difference in CNR between the two groups of images(P>0.05).Conclusion Diaphragmatic navigation technology combined with 3D LAVA-FLEX sequence imaging can improve the image quality of abdominal MRI enhanced imaging in infants and young children,and provide a reference for clinical diagnosis and treatment.

Objective To explore the application value of MRI diaphragmatic navigation technology combined with three dimensional liver acquisition with volume acceleration-flexible(3D LAVA-FLEX)sequence in abdominal enhanced imaging of infants and young children.Methods A retrospective analysis was conducted on imaging data of 84 infants and young children who underwent abdominal enhanced MRI examination in our hospital between January 2021 and December 2023.All 84 infants and young children initially underwent conventional dynamic contrast-enhanced 3D LAVA-FLEX sequence scanning;the delayed phase images obtained were included in the dynamic enhancement group.Subsequently,diaphragmatic navigation combined with 3D LAVA-FLEX sequence examination was implemented,and the obtained images were included in the diaphragm navigation group.Subjective scoring was performed for images in both groups,while the signal to noise ratio(SNR),contrast to noise ratio(CNR),and artifact quantification(AQ)were measured and compared between the two groups.Results The respiratory motion artifacts,the clarity of liver parenchyma enhancement,the clarity of liver vascular enhancement,the clarity of spleen parenchyma enhancement and the overall image quality score in the diaphragm navigation group were higher than those in the dynamic enhancement group,and the differences were statistically significant(P<0.05).There were statistically significant differences in SNR and AQ between the two groups of images(P<0.000 1),while there was no statistically significant difference in CNR between the two groups of images(P>0.05).Conclusion Diaphragmatic navigation technology combined with 3D LAVA-FLEX sequence imaging can improve the image quality of abdominal MRI enhanced imaging in infants and young children,and provide a reference for clinical diagnosis and treatment.

The complex anatomical structure of abdominal organs demands high precision in surgical procedures, which also increases postoperative complication risks. Advancements in digital medicine have created new opportunities for precision surgery. This article summarizes the current applications of digital intelligence in precision abdominal surgery. The processing and real-time monitoring technologies of medical imaging provide powerful tools for accurate diagnosis and treatment. Meanwhile, big data analysis and precise classification capabilities of artificial intelligence further enhance diagnostic efficiency and safety. Additionally, the paper analyzes the advantages and limitations of digital intelligence in empowering precision abdominal surgery, while exploring future development directions.

Objective:To analyze the research progress and hotspots of clinical pathway informatization at home and abroad, and provide references and guidance for the construction of clinical pathway informatization in China.Methods:The relevant literature on clinical pathway informatization research were retrieved from China National Knowledge Infrastructure and Web of Science databases, which were published from January 1, 2000 to July 20, 2023. Bibliometric and thematic analysis methods were used to analyze the commonalities and differences in annual publication volume, high-frequency author collaboration networks, high-frequency keywords, and research hotspots of domestic and foreign literature.Results:This study included a total of 257 domestic literature and 174 foreign literature. The number of domestic publications had gradually increased since 2005, with the highest number in 2012 and a significant downward trend after 2015; The overall number of foreign publications was on the rise. Domestic high-frequency authors mostly came from medical institutions, while foreign high-frequency authors were mainly concentrated in universities and research institutes, and both had formed author collaboration networks. However, the research continuity of foreign authors were better than that of domestic authors. There were commonalities in the electronicization and semantics of clinical pathways, process design and management, disease management, and clinical decision support in relevant research hotspots at home and abroad, but there were significant differences in system integration, process design, pathway analysis, and disease management. Foreign related researches had the advantages of leading technology.Conclusions:There were certain similarities and differences in the research topics of clinical pathway informatization at home and abroad, and relevant studies abroad had shown certain frontiers in the application of new technologies. In the future, China should learn from international advanced experience, utilize emerging technologies such as machine learning and big language models, strengthen patient-centered, promote the precise and intelligent development of clinical pathway management, and improve the quality of medical services.

Objective:To analyze the research progress and hotspots of clinical pathway informatization at home and abroad, and provide references and guidance for the construction of clinical pathway informatization in China.Methods:The relevant literature on clinical pathway informatization research were retrieved from China National Knowledge Infrastructure and Web of Science databases, which were published from January 1, 2000 to July 20, 2023. Bibliometric and thematic analysis methods were used to analyze the commonalities and differences in annual publication volume, high-frequency author collaboration networks, high-frequency keywords, and research hotspots of domestic and foreign literature.Results:This study included a total of 257 domestic literature and 174 foreign literature. The number of domestic publications had gradually increased since 2005, with the highest number in 2012 and a significant downward trend after 2015; The overall number of foreign publications was on the rise. Domestic high-frequency authors mostly came from medical institutions, while foreign high-frequency authors were mainly concentrated in universities and research institutes, and both had formed author collaboration networks. However, the research continuity of foreign authors were better than that of domestic authors. There were commonalities in the electronicization and semantics of clinical pathways, process design and management, disease management, and clinical decision support in relevant research hotspots at home and abroad, but there were significant differences in system integration, process design, pathway analysis, and disease management. Foreign related researches had the advantages of leading technology.Conclusions:There were certain similarities and differences in the research topics of clinical pathway informatization at home and abroad, and relevant studies abroad had shown certain frontiers in the application of new technologies. In the future, China should learn from international advanced experience, utilize emerging technologies such as machine learning and big language models, strengthen patient-centered, promote the precise and intelligent development of clinical pathway management, and improve the quality of medical services.

Objective:To explore the efficacy of predictive nursing on the recovery of patients after endoscopic surgery for prostate under the concept of enhanced recovery after surgery(ERAS).Methods:A total of 82 patients with benign prostatic hyper-plasia who underwent surgery from February 2022 to February 2023 were divided into control group(n=41)with traditional care and the observation group(n=41)with predictive care based on the difference in nursing methods.And the clinical data of the two groups were compared.Results:The observation group showed lower incidence rates than the control group for all individual complications(urinary tract infection[2.44％vs 4.88％],hemorrhage[2.44％vs 7.32％],bladder spasm[0％vs 4.88％],and hypostatic pneumonia[0％vs 2.44％]),though none reached statistical significance(P＞0.05).However,the total complication rate was sig-nificantly lower in the observation group(4.88％vs 19.51％,P＜0.05).Notably,the observation group demonstrated significantly lower IPSS scores(5.49±1.53 vs 10.35±1.77,P＜0.05)and shorter hospital stays([5.26±0.38]dvs[9.95±0.84]d,P＜0.05).Additionally,nursing satisfaction was markedly higher in the observation group(92.68％vs 78.95％,P＜0.05).Conclusion:Theapplication of ERAS-guided anticipatory nursing in postoperative rehabilitation for patients with benign prostatic hy-perplasia can significantly improve quality of life,reduce complication rates,shorten hospital stays,and enhance patient satisfaction.

The complex anatomical structure of abdominal organs demands high precision in surgical procedures, which also increases postoperative complication risks. Advancements in digital medicine have created new opportunities for precision surgery. This article summarizes the current applications of digital intelligence in precision abdominal surgery. The processing and real-time monitoring technologies of medical imaging provide powerful tools for accurate diagnosis and treatment. Meanwhile, big data analysis and precise classification capabilities of artificial intelligence further enhance diagnostic efficiency and safety. Additionally, the paper analyzes the advantages and limitations of digital intelligence in empowering precision abdominal surgery, while exploring future development directions.

Objective To evaluate the influence of health education on influenza and pneumonia vaccination in hypertensive and diabetic population. Methods Multi-stage random sampling method was used to select subjects, carry out health education and follow-up, and compare the cognition and vaccination status of diseases and vaccines before and after intervention by themselves. Results Among the 2.45% of subjects were vaccinated with influenza vaccine at the last follow-up after intervention, compared with 0.74% before intervention (P < 0.05), 9.81% of subjects were vaccinated with pneumonia vaccine, compared with 0.49% before intervention (P < 0.05). At the last follow-up after intervention, 2.45% of subjects had received influenza vaccine and 9.81% of subjects had received pneumonia vaccine, with high vaccination rates before intervention (P < 0.05). In 3 follow-up visits after intervention, 32.37%, 41.00% and 38.11% of hypertension and diabetes patients were more likely to suffer from pneumonia, which were higher than 30.36% (P < 0.05). 37.22%, 44.92% and 41.39% thought pneumonia would aggravate hypertension and diabetes, respectively, which were higher than 35.80% (P < 0.05). 40.02%, 52.62% and 50.02% thought vaccination was necessary, respectively, higher than 40.07% before intervention (P < 0.05). Conclusion People with hypertension and diabetes have low cognition, vaccination willingness and vaccination rate of influenza and pneumonia vaccine. Targeted health education interventions can improve the level of knowledge, attitude and practice of vaccination and improve the vaccination rate of the population.