Objective To explore the effectiveness of integrating virtual simulation technology with case-based learning(CBL)in the teaching of clinical blood transfusion testing technology.Methods From January to June 2024,99 undergraduate students majoring in medical laboratory science at our university were selected and divided into an observation group(50 students)and a control group(49 students)based on their classes.The control group followed a traditional theoretical teaching model,while the observation group employed virtual simulation technology combined with CBL.Results The study compared as-sessment scores for theory learning,practical skills,case analysis,and comprehensive quality,teaching effects such as coordina-tion and cooperation abilities,self-efficacy measured by the GSES scale,and teaching satisfaction between the two groups.The results indicated that the observation group had significantly higher scores in all assessment categories,teaching effect abilities,and total GSES scores compared to the control group(P＜0.05).The total teaching satisfaction rate in the observation group reached 100%,significantly higher than the 80% in the control group(P＜0.05).Conclusion The integration of virtual simu-lation technology with CBL innovates the teaching model for clinical blood transfusion testing courses,effectively enhancing students'professional skills and comprehensive quality,boosting self-efficacy,and achieving high student satisfaction,demon-strating significant potential for broader application.

Objective To explore the effectiveness of integrating virtual simulation technology with case-based learning(CBL)in the teaching of clinical blood transfusion testing technology.Methods From January to June 2024,99 undergraduate students majoring in medical laboratory science at our university were selected and divided into an observation group(50 students)and a control group(49 students)based on their classes.The control group followed a traditional theoretical teaching model,while the observation group employed virtual simulation technology combined with CBL.Results The study compared as-sessment scores for theory learning,practical skills,case analysis,and comprehensive quality,teaching effects such as coordina-tion and cooperation abilities,self-efficacy measured by the GSES scale,and teaching satisfaction between the two groups.The results indicated that the observation group had significantly higher scores in all assessment categories,teaching effect abilities,and total GSES scores compared to the control group(P＜0.05).The total teaching satisfaction rate in the observation group reached 100%,significantly higher than the 80% in the control group(P＜0.05).Conclusion The integration of virtual simu-lation technology with CBL innovates the teaching model for clinical blood transfusion testing courses,effectively enhancing students'professional skills and comprehensive quality,boosting self-efficacy,and achieving high student satisfaction,demon-strating significant potential for broader application.

Objectives:To evaluate the impact of hemoglobin concentration on 5-year cardiovascular mortality in patients with hypertrophic obstructive cardiomyopathy(HOCM).Methods:This study retrospectively analyzed 325 non-surgically treated HOCM patients hospitalized at Fuwai Hospital from October 2009 to December 2014.Baseline information was compared between patients with or without cardiac death.The impact of hemoglobin concentration on 5-year cardiovascular mortality in HOCM patients was analyzed.Results:The median follow-up time was(43.55±19.70)months.During the follow-up period,a total of 29 patients(8.9%)experienced cardiac death.Univariate Cox regression analysis demonstrated that hemoglobin concentration was significantly associated with 5-year cardiac mortality in HOCM patients(P<0.001).After adjusting for potential cardiovascular risk factors in multivariate Cox regression analysis,hemoglobin concentration(P=0.011)remained negatively associated with 5-year cardiac mortality in HOCM patient.HOCM patients with decreased hemoglobin level faced a 3.118-fold increase in 5-year cardiac mortality(HR=4.118,95%CI:1.114-14.822,P=0.030).Kaplan-Meier survival analysis showed that HOCM patients with decreased hemoglobin levels had a significantly higher risk of 5-year cardiac mortality(log-rank test,χ2=24.38,P<0.001).Conclusions:Lower hemoglobin concentration is an independent risk factor for 5-year cardiac mortality in patients with HOCM.Compared to patients with normal hemoglobin levels,HOCM patients with decreased hemoglobin level face a 3-fold increase in 5-year cardiac mortality.

Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.

Objective:To summarize the clinical and genetic characteristics of patients with neurodevelopmental disorder with or without variable brain abnormalities (NEDBA) caused by MAPK8IP3 gene variation. Methods:The clinical data and genetic testing results of 2 children with NEDBA treated in Henan Children′s Hospital from August 2019 to January 2022 were collected retrospectively. Literature was searched and reviewed from China National Knowledge Infrastructure, Wanfang Data Knowledge Service Platform, PubMed database and OMIM database (up to October 2024) with" MAPK8IP3 gene ""NEDBA ""neurodevelopmental disorders "as the search terms. The main clinical genetic characteristics of NEDBA caused by MAPK8IP3 gene variation were summarized. Results:The 2 children, a boy aged 1 year and 8 months and a girl aged 1 year and 4 months, both showed global developmental delay and the onset of the disease in infancy. The de novo heterozygous mutation c.1732C>T(p.Arg578Cys) of the MAPK8IP3 gene was detected by whole-exome sequencing. Case 1 was followed up to 3 years and 10 months old, who had severe developmental delay and was accompanied by hip subluxation and strephexopodia. Literature search retrieved 0 Chinese literature and 2 English literatures. A total of 18 patients including 2 cases reported in this study were identified as NEDBA caused by MAPK8IP3 gene variations, including 16 cases with missense mutations and 2 cases with truncation mutations. Among them, 7 patients carried c.1732C>T(p.Arg578Cys) and 5 patients carried c.3436C>T(p.Arg1146Cys). The main clinical manifestations of the 18 patients included developmental delay/intellectual disability (18 cases), poor or absent speech (11 cases), abnormal neurological examination (10 cases: 6 with spastic paraplegia, 2 with spasticity, 2 with ataxia, 1 with unstable gait), hypotonia (10 cases), skeletal malformations (10 cases: 4 with short stature, 3 with scoliosis, 1 with 5th finger clinodactyly and brachydactylky, 1 with flat-valgus feet, 1 with hip subluxation), seizures (3 cases), left hearing loss (1 case), myopic astigmatism and pseudostrabismus (1 case), abnormal brain magnetic resonance imaging (15 cases). Conclusions:Patients with NEDBA is usually characterized by global developmental delay apparent from infancy or early childhood, resulting in language and motor disorders. Additional features may include hypotonia, spasticity, skeletal malformations and abnormal brain magnetic resonance imaging. Currently, missense variations are frequent among the heterozygous MAPK8IP3 genotypes, among which c.1732C>T(p.Arg578Cys) and c.3436C>T(p.Arg1146Cys) are considered hot spot variations.

Periodontal bone defects, primarily caused by periodontitis, are highly prevalent in clinical settings and manifest as bone fenestration, dehiscence, or attachment loss, presenting a significant challenge to oral health. In regenerative medicine, harnessing developmental principles for tissue repair offers promising therapeutic potential. Of particular interest is the condensation of progenitor cells, an essential event in organogenesis that has inspired clinically effective cell aggregation approaches in dental regeneration. However, the precise cellular coordination mechanisms during condensation and regeneration remain elusive. Here, taking the tooth as a model organ, we employed single-cell RNA sequencing to dissect the cellular composition and heterogeneity of human dental follicle and dental papilla, revealing a distinct Platelet-derived growth factor receptor alpha (PDGFRA) mesenchymal stem/stromal cell (MSC) population with remarkable odontogenic potential. Interestingly, a reciprocal paracrine interaction between PDGFRA⁺ dental follicle stem cells (DFSCs) and CD31⁺ Endomucin⁺ endothelial cells (ECs) was mediated by Vascular endothelial growth factor A (VEGFA) and Platelet-derived growth factor subunit BB (PDGFBB). This crosstalk not only maintains the functionality of PDGFRA⁺ DFSCs but also drives specialized angiogenesis. In vivo periodontal bone regeneration experiments further reveal that communication between PDGFRA⁺ DFSC aggregates and recipient ECs is essential for effective angiogenic-osteogenic coupling and rapid tissue repair. Collectively, our results unravel the importance of MSC-EC crosstalk mediated by the VEGFA and PDGFBB-PDGFRA reciprocal signaling in orchestrating angiogenesis and osteogenesis. These findings not only establish a framework for deciphering and promoting periodontal bone regeneration in potential clinical applications but also offer insights for future therapeutic strategies in dental or broader regenerative medicine.
Receptor, Platelet-Derived Growth Factor alpha/metabolism* ; Humans ; Neovascularization, Physiologic/physiology* ; Dental Sac/cytology* ; Single-Cell Analysis ; Transcriptome ; Mesenchymal Stem Cells/metabolism* ; Bone Regeneration ; Animals ; Dental Papilla/cytology* ; Periodontium/physiology* ; Stem Cells/metabolism* ; Regeneration ; Angiogenesis

Objectives:To evaluate the impact of hemoglobin concentration on 5-year cardiovascular mortality in patients with hypertrophic obstructive cardiomyopathy(HOCM).Methods:This study retrospectively analyzed 325 non-surgically treated HOCM patients hospitalized at Fuwai Hospital from October 2009 to December 2014.Baseline information was compared between patients with or without cardiac death.The impact of hemoglobin concentration on 5-year cardiovascular mortality in HOCM patients was analyzed.Results:The median follow-up time was(43.55±19.70)months.During the follow-up period,a total of 29 patients(8.9%)experienced cardiac death.Univariate Cox regression analysis demonstrated that hemoglobin concentration was significantly associated with 5-year cardiac mortality in HOCM patients(P<0.001).After adjusting for potential cardiovascular risk factors in multivariate Cox regression analysis,hemoglobin concentration(P=0.011)remained negatively associated with 5-year cardiac mortality in HOCM patient.HOCM patients with decreased hemoglobin level faced a 3.118-fold increase in 5-year cardiac mortality(HR=4.118,95%CI:1.114-14.822,P=0.030).Kaplan-Meier survival analysis showed that HOCM patients with decreased hemoglobin levels had a significantly higher risk of 5-year cardiac mortality(log-rank test,χ2=24.38,P<0.001).Conclusions:Lower hemoglobin concentration is an independent risk factor for 5-year cardiac mortality in patients with HOCM.Compared to patients with normal hemoglobin levels,HOCM patients with decreased hemoglobin level face a 3-fold increase in 5-year cardiac mortality.

The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence ; Humans ; Delivery of Health Care ; Generative Artificial Intelligence

OBJECTIVE: To compare the efficacy and safety of intravenous colistin sulfate combined with nebulized inhalation versus intravenous monotherapy for pulmonary infections caused by carbapenem-resistant organism (CRO). METHODS: A multicenter retrospective cohort study was conducted. Clinical data were collected from patients admitted to the intensive care unit (ICU) of 10 tertiary class-A hospitals in Henan Province between July 2021 and May 2023, who received colistin sulfate for CRO pulmonary infections. Data included baseline characteristics, inflammatory markers [white blood cell count (WBC), neutrophil count (NEU), procalcitonin (PCT), C-reactive protein (CRP)], renal function indicators [serum creatinine (SCr), blood urea nitrogen (BUN)], life support measures, anti-infection regimens, clinical efficacy, microbiological clearance rate, and prognostic outcomes. Patients were divided into two groups: intravenous group (colistin sulfate monotherapy via intravenous infusion) and combination group ((intravenous infusion combined with nebulized inhalation of colistin sulfate). Changes in parameters before and after treatment were analyzed. RESULTS: A total of 137 patients with CRO pulmonary infections were enrolled, including 89 in the intravenous group and 48 in the combination group. Baseline characteristics, life support measures, daily colistin dose, and combination regimens (most commonly colistin sulfate plus carbapenems in both groups) showed no significant differences between two groups. The combination group exhibited higher clinical efficacy [77.1% (37/48) vs. 59.6% (52/89)] and microbiological clearance rate [60.4% (29/48) vs. 39.3% (35/89)], both P < 0.05. Pre-treatment inflammatory and renal parameters showed no significant differences between two groups. Post-treatment, the combination group showed significantly lower WBC and CRP [WBC (×10⁹/L): 8.2±0.5 vs. 10.9±0.6, CRP (mg/L): 14.0 (5.7, 26.6) vs. 52.1 (24.4, 109.6), both P < 0.05], whereas NEU, PCT, SCr, and BUN levels showed no significant between two groups. ICU length of stay was shorter in the combination group [days: 16 (10, 25) vs. 21 (14, 29), P < 0.05], although mechanical ventilation duration and total hospitalization showed no significant differences between two groups. CONCLUSIONS Intravenous colistin sulfate combined with nebulized inhalation improved clinical efficacy and microbiological clearance in CRO pulmonary infections with an acceptable safety profile.
Humans ; Colistin/therapeutic use* ; Retrospective Studies ; Administration, Inhalation ; Anti-Bacterial Agents/therapeutic use* ; Carbapenems/pharmacology* ; Male ; Female ; Middle Aged ; Gram-Negative Bacteria/drug effects* ; Aged ; Treatment Outcome ; Respiratory Tract Infections/drug therapy*

BACKGROUND: Disease-modifying therapies have been approved for the treatment of relapsing multiple sclerosis (RMS). The present study aims to examine the safety of teriflunomide in Chinese patients with RMS. METHODS: This non-randomized, multi-center, 24-week, prospective study enrolled RMS patients with variant (c.421C>A) or wild type ABCG2 who received once-daily oral teriflunomide 14 mg. The primary endpoint was the relationship between ABCG2 polymorphisms and teriflunomide exposure over 24 weeks. Safety was assessed over the 24-week treatment with teriflunomide. RESULTS: Eighty-two patients were assigned to variant ( n  = 42) and wild type groups ( n  = 40), respectively. Geometric mean and geometric standard deviation (SD) of pre-dose concentration (variant, 54.9 [38.0] μg/mL; wild type, 49.1 [32.0] μg/mL) and area under plasma concentration-time curve over a dosing interval (AUC tau ) (variant, 1731.3 [769.0] μg∙h/mL; wild type, 1564.5 [1053.0] μg∙h/mL) values at steady state were approximately similar between the two groups. Safety profile was similar and well tolerated across variant and wild type groups in terms of rates of treatment emergent adverse events (TEAE), treatment-related TEAE, grade ≥3 TEAE, and serious adverse events (AEs). No new specific safety concerns or deaths were reported in the study. CONCLUSION: ABCG2 polymorphisms did not affect the steady-state exposure of teriflunomide, suggesting a similar efficacy and safety profile between variant and wild type RMS patients. REGISTRATION NCT04410965, https://clinicaltrials.gov .
Humans ; Crotonates/adverse effects* ; Toluidines/adverse effects* ; Nitriles ; Hydroxybutyrates ; Female ; Male ; Adult ; ATP Binding Cassette Transporter, Subfamily G, Member 2/genetics* ; Middle Aged ; Multiple Sclerosis, Relapsing-Remitting/genetics* ; Prospective Studies ; Young Adult ; Neoplasm Proteins/genetics* ; East Asian People