Objective:This study aims to investigate the differences in hemostatic efficacy and patient comfort between an innovative domestically produced biodegradable nasal packing sponge and a traditional absorbent sponge following endoscopic nasal surgery. Methods:A prospective, randomized controlled trial design was utilized, including 30 patients who were divided into two groups according to random allocation, each receiving one of the two types of nasal packing. The study assessed the hemostatic efficacy, comfort, and safety of the materials by comparing the rates of no bleeding within 24 hours after packing, re-bleeding rates after 48 hours, pain ratings in the head and nasal areas, scores on a visual analog scale for nasal ocular symptoms, and safety indicators between the two groups. Results:The rates of no bleeding within 24 hours post-packing were 73.33% for both the experimental and control groups, with a no-bleeding rate of 100% after 48 hours in both groups. The pain rating in the head and nasal areas at various times post-packing was Grade Ⅰ（100%） in both groups, with no statistically significant difference（P=1.000）. The experimental groups sneezing score on the day of packing was（0.73±1.03）, lower than the control groups（2.27±1.67）, （P=0.007）; after 48 hours, the experimental groups sneezing score was（0.67±0.98）, also lower than the control groups（1.67±1.18）, （P=0.019）. There was no significant difference between the two groups in the Lund-Kennedy scoring during endoscopic examinations at the screening period, 7 days, 1 month, and 3 months post-packing（P>0.05）. Laboratory tests for other examination indicators were normal in both groups. Conclusion:The innovative domestically produced biodegradable nasal packing sponge not only provides hemostatic efficacy comparable to imported materials but also significantly improves patient comfort after surgery. It represents an economical and effective choice for nasal packing materials.
Humans ; Prospective Studies ; Surgical Sponges ; Endoscopy/methods* ; Male ; Female ; Epistaxis/prevention & control* ; Middle Aged ; Nasal Surgical Procedures/methods* ; Adult

Objective:To address the critical issue of missing dynamic border molding information in edentulous direct digital impression technology, this study explores innovative digital solutions and conducts preliminary application validation.Methods:Based on the myostatic line theory, a methodology was established: intraoral scanner (IOS) high-frequency video was utilized to dynamically capture functional molding data of soft tissues, integrated with a self-developed mobility gradient recognition algorithm to achieve dynamic threshold segmentation between the muscle dynamic zone and myostatic zone, termed "optical digital molding technology". Ten edentulous patients with well-fitting complete dentures, treated at the Department of Prosthodontics, Peking University School and Hospital of Stomatology from January 2024 to December 2024, were enrolled. The standard deviation between the muscle static line (generated by mobility gradient algorithm with thresholds of 0.3-0.7 mm) and the denture border curve was analyzed to optimize the dynamic threshold, followed by single-case clinical validation.Results:Among the mobility thresholds of 0.3-0.7 mm, the 0.5 mm threshold yielded the smallest standard deviation between the myostatic line and denture border. Clinical validation demonstrated that dentures designed with this threshold exhibited no displacement during dynamic functional tests, with marginal sealing meeting clinical standards.Conclusions:The optical digital border molding technique for edentulous soft tissue boundaries translates the myostatic line theory into quantifiable parameters for the first time. Based on data from 10 cases, a mobility threshold of 0.5 mm is recommended for clinical application.

OBJECTIVE To establish a risk prediction model for antibiotic-associated diarrhea(AAD)in intensive care unit(ICU)patients receiving mechanical ventilation so as to provide bases for early identification of high-risk population and formulation of corresponding individualized prevention strategies.METHODS A total of 1016 pa-tients who received mechanical ventilation and were treated with antibiotics in the ICU of The First Medical Center of Chinese PLA General Hospital from Jan.1,2020 to Jun.30,2022 were retrospectively enrolled in the study and were divided into the AAD group with 200 cases and the non-AA group according to the diagnostic criteria for AAD.Multivariate logistic regression analysis was performed for risk factors for AAD in the ICU patients receiv-ing mechanical ventilation,and the nomogram prediction model was established with R software.The performance of the model was evaluated by means of receiver operating characteristic(ROC)curves and calibration curves.RESULTS Among the 1016 patients who underwent mechanical ventilation,200 had AAD,and the incidence rate of AAD was 19.69％.Multivariate logistic regression analysis showed that hemoglobulin[OR=0.990,95％CI(0.983 to 0.997)],C-reactive protein[OR=1.046,95％CI(1.009 to 1.085)],serum phosphorus[OR=0.498,95％CI(0.328 to 0.755)],serum lipase[OR=1.001,95％CI(1.000 to 1.002)],ceftriaxo ne sodium[OR=2.331,95％CI(1.253 to 4.334)],linezolid[OR=2.387,95％CI(1.329 to 4.289)],fluconazole[OR=2.083,95％CI(1.238 to 3.505)]and sedatives[OR=0.307,95％CI(0.160 to 0.590)]were the risk factors for the AAD in the ICU patients receiving mechanical ventilation.The area under ROC curve(AUC)of the predic-tion model established based on the risk factors was 0.705 for the training set,0.751 for the validation set.Hos-mer-Lemeshow test indicated that the predicated probability of the model was consistent with the actual risk for the occurrence(x2=6.057,5.304,P=0.641,0.725).CONCLUSION The nomogram model that is established based on the above influencing factors can quantitatively predict the risk for AAD in the ICU patients undergo-ing mechanical ventilation,and it has certain clinical predictive efficiency.

With the advancement of transfusion medicine and the widespread use of platelet-related preparations, platelet transfusion has become a critical therapeutic intervention in clinics. To enhance the safety and efficacy of platelet transfusion, platelet blood group typing has been increasingly implemented in clinical practice, accompanied by the emergence of novel testing technologies and methodologies, such as flow cytometric immuno-bead array analysis, microtiter plate-based immobilized recombinant single antigen enzyme-linked immunosorbent assay and third-generation sequencing. Significant progress has been made in platelet blood group detection, including improvements in serological testing methods, integration and optimization of multi-platform detection technologies, and the development of high-throughput molecular genotyping techniques. The advancement in platelet blood group detection technology has significantly enhanced detection precision and clinical applicability, providing an important support for transfusion safety, managing platelet-related diseases, and developing antiplatelet drugs.

Objective:To address the critical issue of missing dynamic border molding information in edentulous direct digital impression technology, this study explores innovative digital solutions and conducts preliminary application validation.Methods:Based on the myostatic line theory, a methodology was established: intraoral scanner (IOS) high-frequency video was utilized to dynamically capture functional molding data of soft tissues, integrated with a self-developed mobility gradient recognition algorithm to achieve dynamic threshold segmentation between the muscle dynamic zone and myostatic zone, termed "optical digital molding technology". Ten edentulous patients with well-fitting complete dentures, treated at the Department of Prosthodontics, Peking University School and Hospital of Stomatology from January 2024 to December 2024, were enrolled. The standard deviation between the muscle static line (generated by mobility gradient algorithm with thresholds of 0.3-0.7 mm) and the denture border curve was analyzed to optimize the dynamic threshold, followed by single-case clinical validation.Results:Among the mobility thresholds of 0.3-0.7 mm, the 0.5 mm threshold yielded the smallest standard deviation between the myostatic line and denture border. Clinical validation demonstrated that dentures designed with this threshold exhibited no displacement during dynamic functional tests, with marginal sealing meeting clinical standards.Conclusions:The optical digital border molding technique for edentulous soft tissue boundaries translates the myostatic line theory into quantifiable parameters for the first time. Based on data from 10 cases, a mobility threshold of 0.5 mm is recommended for clinical application.

OBJECTIVE To establish a risk prediction model for antibiotic-associated diarrhea(AAD)in intensive care unit(ICU)patients receiving mechanical ventilation so as to provide bases for early identification of high-risk population and formulation of corresponding individualized prevention strategies.METHODS A total of 1016 pa-tients who received mechanical ventilation and were treated with antibiotics in the ICU of The First Medical Center of Chinese PLA General Hospital from Jan.1,2020 to Jun.30,2022 were retrospectively enrolled in the study and were divided into the AAD group with 200 cases and the non-AA group according to the diagnostic criteria for AAD.Multivariate logistic regression analysis was performed for risk factors for AAD in the ICU patients receiv-ing mechanical ventilation,and the nomogram prediction model was established with R software.The performance of the model was evaluated by means of receiver operating characteristic(ROC)curves and calibration curves.RESULTS Among the 1016 patients who underwent mechanical ventilation,200 had AAD,and the incidence rate of AAD was 19.69％.Multivariate logistic regression analysis showed that hemoglobulin[OR=0.990,95％CI(0.983 to 0.997)],C-reactive protein[OR=1.046,95％CI(1.009 to 1.085)],serum phosphorus[OR=0.498,95％CI(0.328 to 0.755)],serum lipase[OR=1.001,95％CI(1.000 to 1.002)],ceftriaxo ne sodium[OR=2.331,95％CI(1.253 to 4.334)],linezolid[OR=2.387,95％CI(1.329 to 4.289)],fluconazole[OR=2.083,95％CI(1.238 to 3.505)]and sedatives[OR=0.307,95％CI(0.160 to 0.590)]were the risk factors for the AAD in the ICU patients receiving mechanical ventilation.The area under ROC curve(AUC)of the predic-tion model established based on the risk factors was 0.705 for the training set,0.751 for the validation set.Hos-mer-Lemeshow test indicated that the predicated probability of the model was consistent with the actual risk for the occurrence(x2=6.057,5.304,P=0.641,0.725).CONCLUSION The nomogram model that is established based on the above influencing factors can quantitatively predict the risk for AAD in the ICU patients undergo-ing mechanical ventilation,and it has certain clinical predictive efficiency.

With the advancement of transfusion medicine and the widespread use of platelet-related preparations, platelet transfusion has become a critical therapeutic intervention in clinics. To enhance the safety and efficacy of platelet transfusion, platelet blood group typing has been increasingly implemented in clinical practice, accompanied by the emergence of novel testing technologies and methodologies, such as flow cytometric immuno-bead array analysis, microtiter plate-based immobilized recombinant single antigen enzyme-linked immunosorbent assay and third-generation sequencing. Significant progress has been made in platelet blood group detection, including improvements in serological testing methods, integration and optimization of multi-platform detection technologies, and the development of high-throughput molecular genotyping techniques. The advancement in platelet blood group detection technology has significantly enhanced detection precision and clinical applicability, providing an important support for transfusion safety, managing platelet-related diseases, and developing antiplatelet drugs.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Virtual reality technology is an emerging technology that integrates multiple disciplines. It has the advantages of immersion, interactivity and imagination, which provides convenience for intelligent nursing in the field of rehabilitation treatment. This paper summarizes the application research of virtual reality technology in patients with kinetophobia, focusing on classification, application mechanism, application status, limitations and future development of virtual reality technology in various diseases of kinetophobia, so as to provide reference and basis for the rehabilitation nursing of patients with kinetophobia based on virtual reality technology in the future.

Objective To explore the effects of military operation types on the mental health of Chinese veterans and the mediating role of psychological quality based on a dual-factor model of mental health.Methods Cross-sectional study design was adopted in this study.Self-designed demographic information questionnaire,patient health questionnaire depression module-9 item(PHQ-9),general anxiety disorder-7(GAD-7),satisfaction with life scale and psychological quality questionnaire were used to survey on 3 027 Chinese veterans.Results ① Compared to the one-factor model and the two-factor models with other indicators,the dual-factor model of mental health,with anxiety symptoms as a negative indicator and life satisfaction as a positive indicator,fitted better(Chi-square/df=8.927,GFI=0.974,AGFI=0.962,RMSEA=0.051,NNFI=0.985,IFI=0.988,CFI=0.988).②Taking the subjects who did not participate in war/non-war military operations as the reference,psychological quality showed significant relatively mediating effects between war and life satisfaction,and between war and anxiety symptoms(P＜0.05),while no such significances were observed in the corresponding ones for non-war military operations.③ War could decrease veterans'life satisfaction through full mediation of cognitive,adaptive and personality dimensions of psychological quality,and increase anxiety symptoms through partial mediation of the personality dimension of psychological quality.Conclusion The dual-factor model of mental health is applicable to Chinese veteran population,and psychological quality plays a mediating role between war and mental health.