BACKGROUND: Pulmonary arterial hypertension (PAH) presents a significant health burden in Asia and remains a critical challenge. This study aims to delineate the PAH burden in Asia from 1990 to 2021. METHODS: Using the latest data from the Global Burden of Disease 2021, we evaluated and analyzed the distributions and patterns of PAH disease burden among various age groups, sexes, regions, and countries in Asia. Additionally, we examined the associations between PAH disease burden and key health system indicators, including the socio-demographic index (SDI) and the universal health coverage (UHC) index. RESULTS: In 2021, there were 25,989 new PAH cases, 103,382 existing cases, 13,909 PAH-associated deaths, and 385,755 DALYs attributed to PAH in Asia, which accounted for approximately 60% of global PAH cases. The age-standardized rates (ASRs) for prevalence and deaths were 2.05 (95% uncertainty interval [UI]: 1.66-2.52) per 100,000 population and 0.31 (95% UI: 0.23-0.38) per 100,000 population, respectively. From 1990 to 2021, Asia reported the lowest ASRs for PAH prevalence but the highest ASRs for deaths compared to other continents. While the ASRs for prevalence increased slightly, ASRs for mortality and DALYs decreased over time. This increasing burden of PAH was primarily driven by population growth and aging. The burden was especially pronounced among individuals aged ≥60 years and <9 years, who collectively accounted for the majority of deaths and DALYs. Moreover, higher SDI and UHC levels were linked to reduced incidence, but higher prevalence rates. CONCLUSIONS Although progress has been made in reducing PAH-related mortality and DALYs, the disease continues to impose a substantial burden in Asia, particularly among older adults and young children. Region-specific health policies should focus on improving early diagnosis, expanding access to treatment, and effectively addressing the growing PAH burden in the region.
Humans ; Global Burden of Disease ; Male ; Female ; Middle Aged ; Adult ; Asia/epidemiology* ; Prevalence ; Aged ; Pulmonary Arterial Hypertension/mortality* ; Adolescent ; Young Adult ; Child ; Child, Preschool ; Infant ; Hypertension, Pulmonary/epidemiology*

OBJECTIVE: To report the blood group antigen and antibody specificity identification methods for a patient with high-frequency antibodies, and the process of finding and providing compatible blood for the patient. METHODS: A patient sent from the Blood Transfusion Department of Shanxi Provincial People's Hospital to Blood Transfusion Technology Research Laboratory of Taiyuan Blood Center in November 2022 was selected for the study. Classical serological methods were used to determine the patient's blood type, screen for unexpected antibodies, identify antibodies, and perform crossmatching. High-frequency antibody identification was carried out using red blood cells treated with various enzymes. Blood group genotyping was conducted using Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF) and Sanger sequencing. Multiple strategies were employed to address the patient's blood source problem. The study was approved by the Medical Ethics Committee of Taiyuan Blood Center [Ethics No. 2024 Ethics Review No.(2)]. RESULTS: The patient's blood type was B, RhD positive. Initial screening of the patient's serum with multiple screening cells and antibody identification cells in saline medium was negative, but positive in antiglobulin medium. The patient's serum showed varying reaction intensities with red blood cells treated with different enzymes. MALDI-TOF mass spectrometry and Sanger sequencing revealed a homozygous nonsense variant c.376C>T (p.Gln126Ter) in the ABCG2 gene, resulting in the Jr(a-) phenotype. During family donor selection, the patient's son was found to have a heterozygous variant c.376C>T (p.Gln126Ter), and another heterozygous variant c.421C>A (p.Gln141Lys), which predicted a Jr(a+w) phenotype. Crossmatch tests confirmed the compatibility of blood from the patient's son, which was used to address the urgent blood requirement. Later, rare blood from a Jr(a-) donor from the Guangzhou Blood Center was used for the patient's ongoing treatment, saving the patient's life. CONCLUSION Combining classic serological testing with blood group gene typing techniques successfully identified the rare Jr(a-) blood type and high-frequency anti-Jra antibodies. Enzyme-treated red blood cell identification methods confirmed the presence of anti-Jra antibodies. By searching within the family and seeking help from other blood centers, compatible blood was found. This approach may provide insights for resolving similar complex blood matching problems in the future.
Humans ; Blood Grouping and Crossmatching/methods* ; Blood Group Antigens/immunology* ; Blood Transfusion ; Male ; Isoantibodies/blood* ; Female ; Genotype

Objective To explore the value of CT radiomics analysis in predicting the curative effect of extracorporeal shock wave lithotripsy(ESWL)in ureteral calculus(UC)patients.Methods A total of 126 UC patients who underwent ESWL from January 2018 to December 2023 were selected,and randomly divided into training group and validation group at a ratio of 7∶3.Forty-five UC patients from January 2024 to September 2024 were selected as external validation group and divided into two groups according to whether the residual stones were less than 4 mm after operation.There were 81 cases in the successful lithotripsy group and 45 cases in the failed lithotripsy group.The 3D Slicer software was used to outline the stone layer by layer to obtain region of interest(ROI),and 851 radiomics features were extracted.After the observer consistency test,maximum relevance and minimum redundancy(mRMR)algorithm and least absolute shrinkage and selection operator(LASSO),the radiomics features were selected,and the logistic regression model was established.The diagnostic efficiency of the model was analyzed by receiver operating characteristic(ROC)curve.Results The six optimal features were obtained from the radiomics features.The combined clinical-radiomics model showed the best prediction efficiency with area under the curve(AUC)of 0.908,0.906 and 0.908 in the training,validation and external validation groups respectively.Conclusion CT radiomics model can be used to predict the curative effect of UC patients after ESWL,and provide a basis for assisting UC patients in individualized treatment.

Objective:To explore the clinical application value of a combined model based on the radiomics features of magnetic resonance imaging(MRI)and MRI signs in predicting recurrence after radical resection for hepatocellular carcinoma(HCC).Methods:A retrospective analysis was conducted on the imaging data of 100 patients with radical resection for HCC who admitted to Zibo 148 Hospital from May 2016 to May 2020.All patients underwent abdominal enhanced MRI examination before surgery,and they were followed up for at least 2 years after the surgery.They were randomly divided into training group(70 cases)and verification group(30 cases)as a ratio of 7:3.According to the postoperative follow-up results,the training group existed 12 cases of recurrence and 58 cases without recurrence,and the verification group existed 5 cases of recurrence and 25 cases without recurrence.The 3D-slicer software was used to extract radiomics features of preoperative MRI images of each HCC patient.The intra-group correlation coefficient(ICC)of the extracted imaging features of the observers was calculated.The maximum related minimum redundancy(mRMR)algorithm and LASSO regression were selected to analyze the established radiomics labels after dimensionality reduction and screening.Univariate and multivariate logistic regression analysis were used to screen the independent risk factors of predicting recurrence in MRI signs,and they were used respectively to construct radiomics models with the radiomics labels of plain scan,arterial phase,portal phase and hepatobiliary phase.The receiver operating characteristic(ROC)curve was used to assess the diagnostic efficacy of each radiomics model in predicting recurrence.Results:The ICC range of two physicians in selecting radiomics features from the MRI images of all patients were between 0.903 and 0.957,which consistency was favorable(ICC≥0.9).Compared with other predictive models,the highest area under curve(AUC)values of ROC curve of the radiomics model of plain scan of training group[0.951(95%CI:0.901-1.000)]and verification group[0.968(95%CI:0.917-1.000)]were respectively 0.951 and 0.968 in predicting recurrence after radical resection for liver cancer.Conclusion:The combined model that is constructed on the basis of MRI radiomics features has favorable predictive value for the recurrence of patients after radical resection for HCC.Among of them,the radiomics model of plain scan has a certain guiding role in the clinical implementation of personalized treatment plans under the absence of enhancement,and in underdeveloped areas.

Objective:To report the blood group antigen and antibody specificity identification methods for a patient with high-frequency antibodies, and the process of finding and providing compatible blood for the patient.Methods:A patient sent from the Blood Transfusion Department of Shanxi Provincial People′s Hospital to Taiyuan Blood Center in November 2022 was selected for the study. Classical serological methods were used to determine the patient′s blood type, screen for unexpected antibodies, identify antibodies, and perform crossmatching. High-frequency antibody identification was carried out using red blood cells treated with various enzymes. Blood group genotyping was conducted using Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF) and Sanger sequencing. Multiple strategies were employed to address the patient′s blood source problem. The study was approved by the Medical Ethics Committee of Taiyuan Blood Center [Ethics No. 2024 Ethics Review No.(2)].Results:①The patient′s blood type was B, RhD positive. Initial screening of the patient′s serum with multiple screening cells and antibody identification cells in saline medium was negative, but positive in antiglobulin medium. The patient′s serum showed varying reaction intensities with red blood cells treated with different enzymes. ②MALDI-TOF mass spectrometry and Sanger sequencing revealed a homozygous nonsense variant c. 376C>T (p.Gln126Ter) in the ABCG2 gene, resulting in the Jr(a-) phenotype. During family donor selection, the patient′s son was found to have a heterozygous variant c. 376C>T (p.Gln126Ter), and another heterozygous variant c. 421C>A (p.Gln141Lys), which predicted a Jr(a+ w) phenotype. ③Crossmatch tests confirmed the compatibility of blood from the patient′s son, which was used to address the urgent blood requirement. Later, rare blood from a Jr(a-) donor from the Guangzhou Blood Center was used for the patient′s ongoing treatment, saving the patient′s life. Conclusion:Combining classic serological testing with blood group gene typing techniques successfully identified the rare Jr(a-) blood type and high-frequency anti-Jra antibodies. Enzyme-treated red blood cell identification methods confirmed the presence of anti-Jra antibodies. By searching within the family and seeking help from other blood centers, compatible blood was found. This approach may provide insights for resolving similar complex blood matching problems in the future.

Objective To explore the value of CT radiomics analysis in predicting the curative effect of extracorporeal shock wave lithotripsy(ESWL)in ureteral calculus(UC)patients.Methods A total of 126 UC patients who underwent ESWL from January 2018 to December 2023 were selected,and randomly divided into training group and validation group at a ratio of 7∶3.Forty-five UC patients from January 2024 to September 2024 were selected as external validation group and divided into two groups according to whether the residual stones were less than 4 mm after operation.There were 81 cases in the successful lithotripsy group and 45 cases in the failed lithotripsy group.The 3D Slicer software was used to outline the stone layer by layer to obtain region of interest(ROI),and 851 radiomics features were extracted.After the observer consistency test,maximum relevance and minimum redundancy(mRMR)algorithm and least absolute shrinkage and selection operator(LASSO),the radiomics features were selected,and the logistic regression model was established.The diagnostic efficiency of the model was analyzed by receiver operating characteristic(ROC)curve.Results The six optimal features were obtained from the radiomics features.The combined clinical-radiomics model showed the best prediction efficiency with area under the curve(AUC)of 0.908,0.906 and 0.908 in the training,validation and external validation groups respectively.Conclusion CT radiomics model can be used to predict the curative effect of UC patients after ESWL,and provide a basis for assisting UC patients in individualized treatment.

Objective:To explore the clinical application value of a combined model based on the radiomics features of magnetic resonance imaging(MRI)and MRI signs in predicting recurrence after radical resection for hepatocellular carcinoma(HCC).Methods:A retrospective analysis was conducted on the imaging data of 100 patients with radical resection for HCC who admitted to Zibo 148 Hospital from May 2016 to May 2020.All patients underwent abdominal enhanced MRI examination before surgery,and they were followed up for at least 2 years after the surgery.They were randomly divided into training group(70 cases)and verification group(30 cases)as a ratio of 7:3.According to the postoperative follow-up results,the training group existed 12 cases of recurrence and 58 cases without recurrence,and the verification group existed 5 cases of recurrence and 25 cases without recurrence.The 3D-slicer software was used to extract radiomics features of preoperative MRI images of each HCC patient.The intra-group correlation coefficient(ICC)of the extracted imaging features of the observers was calculated.The maximum related minimum redundancy(mRMR)algorithm and LASSO regression were selected to analyze the established radiomics labels after dimensionality reduction and screening.Univariate and multivariate logistic regression analysis were used to screen the independent risk factors of predicting recurrence in MRI signs,and they were used respectively to construct radiomics models with the radiomics labels of plain scan,arterial phase,portal phase and hepatobiliary phase.The receiver operating characteristic(ROC)curve was used to assess the diagnostic efficacy of each radiomics model in predicting recurrence.Results:The ICC range of two physicians in selecting radiomics features from the MRI images of all patients were between 0.903 and 0.957,which consistency was favorable(ICC≥0.9).Compared with other predictive models,the highest area under curve(AUC)values of ROC curve of the radiomics model of plain scan of training group[0.951(95%CI:0.901-1.000)]and verification group[0.968(95%CI:0.917-1.000)]were respectively 0.951 and 0.968 in predicting recurrence after radical resection for liver cancer.Conclusion:The combined model that is constructed on the basis of MRI radiomics features has favorable predictive value for the recurrence of patients after radical resection for HCC.Among of them,the radiomics model of plain scan has a certain guiding role in the clinical implementation of personalized treatment plans under the absence of enhancement,and in underdeveloped areas.

Objective:To report the blood group antigen and antibody specificity identification methods for a patient with high-frequency antibodies, and the process of finding and providing compatible blood for the patient.Methods:A patient sent from the Blood Transfusion Department of Shanxi Provincial People′s Hospital to Taiyuan Blood Center in November 2022 was selected for the study. Classical serological methods were used to determine the patient′s blood type, screen for unexpected antibodies, identify antibodies, and perform crossmatching. High-frequency antibody identification was carried out using red blood cells treated with various enzymes. Blood group genotyping was conducted using Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF) and Sanger sequencing. Multiple strategies were employed to address the patient′s blood source problem. The study was approved by the Medical Ethics Committee of Taiyuan Blood Center [Ethics No. 2024 Ethics Review No.(2)].Results:①The patient′s blood type was B, RhD positive. Initial screening of the patient′s serum with multiple screening cells and antibody identification cells in saline medium was negative, but positive in antiglobulin medium. The patient′s serum showed varying reaction intensities with red blood cells treated with different enzymes. ②MALDI-TOF mass spectrometry and Sanger sequencing revealed a homozygous nonsense variant c. 376C>T (p.Gln126Ter) in the ABCG2 gene, resulting in the Jr(a-) phenotype. During family donor selection, the patient′s son was found to have a heterozygous variant c. 376C>T (p.Gln126Ter), and another heterozygous variant c. 421C>A (p.Gln141Lys), which predicted a Jr(a+ w) phenotype. ③Crossmatch tests confirmed the compatibility of blood from the patient′s son, which was used to address the urgent blood requirement. Later, rare blood from a Jr(a-) donor from the Guangzhou Blood Center was used for the patient′s ongoing treatment, saving the patient′s life. Conclusion:Combining classic serological testing with blood group gene typing techniques successfully identified the rare Jr(a-) blood type and high-frequency anti-Jra antibodies. Enzyme-treated red blood cell identification methods confirmed the presence of anti-Jra antibodies. By searching within the family and seeking help from other blood centers, compatible blood was found. This approach may provide insights for resolving similar complex blood matching problems in the future.

Bladder cancer （BCa） is the most common malignant tumor of the urinary system， and its incidence is increasing year by year. At present， for all patients with resectable non-metastatic muscle-invasive BCa， radical cystectomy + bilateral pelvic lymph node dissection is strongly recommended， but they still face the risk of recurrence， metastasis and death. In recent years， the proportion of patients with advanced and metastatic BCa is increasing among patients with newly diagnosed BCa. Although current treatment models are diverse， they often struggle to achieve significant efficacy due to their low effectiveness and adverse effects， resulting in low survival rates for patients with advanced and metastatic BCa. Therefore， the treatment of BCa still faces great challenges， and there is an urgent need to discover an effective new antitumor drug. With the improvement of medical standards， traditional Chinese medicine has shown great advantages in the treatment of BCa. Traditional Chinese medicine is mild and easy to accept， and can inhibit tumor progression through a multi-pathway， multi-way and multi-target manner， so as to exert its anticancer effect. Taraxaci Herba is a medicinal and food homologous plant， which has many biological activities， such as antibacterial， anti-inflammatory， anti-oxidation， anti-tumor， protecting liver and gallbladder， reducing blood sugar and enhancing immunity， and it has shown a clear anticancer effect in breast cancer， liver cancer， gastric cancer， tongue cancer and lung cancer. By reviewing previous studies worldwide， this article summarizes the mechanism of Taraxaci Herba extract in inducing autophagy and apoptosis， inhibiting cell migration and invasion， regulating cell cycle and proliferation， regulating cell metabolism， inhibiting tumor angiogenesis， combining the effects of chemotherapeutic drugs， and regulating the transduction of related signal pathways. On this basis， this study systematically elaborates on the potential mechanism of Taraxaci Herba against BCa， in order to provide a theoretical basis for the research and treatment of BCa.

Objective:To explore any effects of combining virtual reality training with aromatherapy in caring for Alzheimer′s disease patients in a nursing home.Methods:Fifty nursing home residents with Alzheimer′s were divided at random into an observation group and a control group, each of 25. Both groups received routine rehabilitation, while the observation group was additionally given 45 minutes of virtual reality training combined with aromatherapy, 3 times a week for 6 months. Both groups′ cognition was then evaluated using the MMSE and an Alzheimer′s cognition assessment scale (ADAS-cog). Psycho-behavioral symptoms were quantified using the Alzheimer′s disease pathological behavior scale (BEHAVE-AD). Motor functioning was quantified using the timed up and go test (TUGT), the 30-second sit-to-stand test (30sCST), the 30-second arm curl test (30sACT) and the sit-and-reach test (CSRT). Ability in the activities of daily living (ADL) and life quality were quantified using the activity of daily living scale and of the quality of life scale for Alzheimer′s disease (QOL-AD) before and after the intervention.Results:After the intervention the average MMSE, ADAS-cog, BEHAVE-AD and ADL scores of both groups had improved significantly, with the average improvement in the observation group significantly greater than that in the control group. The TUGT, 30sCST, 30sACT and CSRT results of both groups were also significantly better, with those of the observation group again significantly superior, on average, to the control group′s results. The average QOL-AD score in the observation was significantly improved after the intervention, and was then significantly better than the control group′s average.Conclusions:Virtual reality training combined with aromatherapy can significantly improve the cognition, psycho-behavioral symptoms, activity in daily living, motor functioning and life quality of Alzheimer′s patients in a nursing home. It is worthy of promotion and application in nursing homes.