OBJECTIVES: To create a mixed valvular heart disease (MVHD)-related age-adjusted comorbidity index (MVACI) model for predicting mortality risk of patients with MVHD. METHODS: A total of 4080 patients with moderate or severe MVHD in the China-VHD study were included. The primary endpoint was 2-year all-cause mortality. A MVACI model prediction model was constructed based on the mortality risk factors identified by univariate and multivariate Cox regression analysis. Restricted cubic splines were used to assess the relationship between MVACI scores and 2-year all-cause mortality. The optimal threshold, determined by the maximum Youden index from receiver operator characteristic (ROC) curve analysis, was used to stratify patients. Kaplan-Meier method was used to calculate 2-year all-cause mortality and compared using the Log-rank test. Univariate and multivariate Cox proportional hazards models were employed to calculate hazard ratios (HR) and 95% confidence intervals (CI), evaluating the association between MVACI scores and mortality. Paired ROC curves were used to compare the discriminative ability of MVACI scores with the European System for Cardiac Operative Risk Evaluation Ⅱ(EuroSCORE Ⅱ) or the age-adjusted Charlson comorbidity index (ACCI) in predicting 2-year clinical outcomes, while calibration curves assessed the calibration of these models. Internal validation was performed using the Bootstrap method. Subgroup analyses were conducted based on etiology, treatment strategies, and disease severity. RESULTS: Multivariate analysis identified the following variables independently associated with 2-year all-cause mortality in patients: pulmonary hypertension, myocardiopathy, heart failure, low body weight (body mass index <18.5 kg/m²), anaemia, hypoalbuminemia, renal insufficiency, cancer, New York Heart Association (NYHA) class and age. The score was independently associated with the risk of all-cause mortality, and exhibited good discrimination (AUC=0.777, 95%CI: 0.755-0.799) and calibration (Brier score 0.062), with significantly better predictive performance than EuroSCORE Ⅱ or ACCI (both adjusted P<0.01). The internal validation showed that the MVACI model's predicted probability of 2-year all-cause mortality was generally consistent with the actual probability. The AUCs for predicting all-cause mortality risk were all above 0.750, and those for predicting adverse events were all above 0.630. The prognostic value of the score remained consistent in patients regardless of their etiology, therapeutic option, and disease severity. CONCLUSIONS The MVACI was constructed in this study based on age and comorbidities, and can be used for mortality risk prediction and risk stratification of MVHD patients. It is a simple algorithmic index and easy to use.
Humans ; Prognosis ; Comorbidity ; Heart Valve Diseases/epidemiology* ; Female ; Male ; Middle Aged ; Aged ; Proportional Hazards Models ; Risk Factors ; China/epidemiology* ; Age Factors ; Risk Assessment ; Adult ; ROC Curve

According to the "Regulations on clinical application management of medical technologies", physicians intending to carry out restricted technologies must undergo standardized training and pass assessments in accordance with the clinical application management standards for the respective technology. As ventricular assist technology is classified as a nationally restricted technology, standardized training is one of the essential conditions for its application. This paper primarily explores the standardized training for the clinical application of ventricular assist technology in Shanghai, in light of its background, clinical application, and current training status. It proposes the training requirements for ventricular assist technology, animal training assessment standards, and clinical practice assessment standards in Shanghai, aiming to promote the standardized development and high-quality advancement of ventricular assist technology in Shanghai.

BACKGROUND: Valvular heart disease (VHD) has become increasingly common with the aging in China. This study aimed to evaluate regional differences in the clinical features, management strategies, and outcomes of patients with VHD across different regions in China. METHODS: Data were collected from the China-VHD Study. From April 2018 to June 2018, 12,347 patients who presented with moderate or severe native VHD with a median of 2 years of follow-up from 46 centers at certified tertiary hospitals across 31 provinces, autonomous regions, and municipalities in Chinese mainland were included in this study. According to the locations of the research centers, patients were divided into five regional groups: eastern, southern, western, northern, and central China. The clinical features of VHD patients were compared among the five geographical regions. The primary outcome was all-cause mortality or rehospitalization for heart failure. Kaplan-Meier survival analysis was used to compare the cumulative incidence rate. RESULTS: Among the enrolled patients (mean age, 61.96 years; 6877 [55.70%] male), multiple VHD was the most frequent type (4042, 32.74%), which was mainly found in eastern China, followed by isolated mitral regurgitation (3044, 24.65%), which was mainly found in northern China. The etiology of VHD varied significantly across different regions of China. The overall rate of valve interventions was 32.67% (4008/12,268), with the highest rate in southern China at 48.46% (205/423). In terms of procedure, the proportion of transcatheter valve intervention was relatively low compared to that of surgical treatment. Patients with VHD in western China had the highest incidence of all-cause mortality or rehospitalization for heart failure. Valve intervention significantly improved the outcome of patients with VHD in all five regions (all P  <0.05). CONCLUSIONS: This study revealed that patients with VHD in China are characterized by significant geographic disparities in clinical features, treatment, and clinical outcomes. Targeted efforts are needed to improve the management and prognosis of patients with VHD in China according to differences in geographical characteristics. REGISTRATION ClinicalTrials.gov , NCT03484806.
Aged ; Female ; Humans ; Male ; Middle Aged ; China/epidemiology* ; Heart Valve Diseases/therapy* ; Kaplan-Meier Estimate ; Tertiary Care Centers ; Treatment Outcome

A domestically produced self-expanding transcatheter aortic valve controllable bending delivery system(VitaFlow? Ⅲcontrollable bending retrievable delivery system)was first used to perform transcatheter aortic valve replacement(TAVR)in a symptomatic severe aortic valve stenosis patient with severe heart failure and high risk of surgery in China on September 22,2023.The patient successfully completed TAVR under general anesthesia,with good valve position and function after the operation.Before discharge and at one month of follow-up,the patient's symptoms and degree of heart failure were significantly improved.The follow-up results of this case showed that the VitaFlow? Ⅲ controllable bending retrievable delivery system for TAVR is safe and feasible,and future prospective,multicenter clinical trials are expected to evaluate its efficacy.

Objective:To compare the efficacy of articaine infiltration anesthesia and lidocaine nerve block anesthesia in pulpotomy of deciduous mandibular second molars.Methods:Single blind crossover test was used for the pediatric patients who required bilateral de-ciduous mandibular second molar pulpotomy were given articaine infiltration anesthesia and lidocaine nerve block anesthesia respectively before the 2 times of operation.After the injection of anesthetic drugs and dental pulp treatment,the patients'responses to pain were e-valuated through sound,eye and body movements,and Wong-Baker facial pain rating scales.Quantitative comparisons were made.Student's t-test and chi-square test were performed for the collected data.Results:50 pediatric patients who met the inclusion criteria and successfully completed 2 treatments without any missed visits or adverse events.During the process of articaine infiltration anesthe-sia,the scores of the 3 indicators of pain severity,namely sound,eye and body movements,were lower than those of lidocaine nerve block anesthesia(P＜0.05).The analysis of facial pain rating scales also suggested that patients'pain and discomfort during the infiltra-tion anesthesia process with articaine were milder(P＜0.05).During the treatment of pulpotomy,both pain assessment methods showed no statistically significant difference in pain perception between the 2 anesthesia injections(P＞0.05).Conclusion:Articaine infiltra-tion anesthesia may effectively replace lidocaine nerve block anesthesia in pulp treatment of mandibular primary molars.

Objective Utilizing a specially engineered miR-144-GFP-H1 human embryonic stem cell(hESC)reporter line,this study leverages GFP fluorescence as an indicator of miR-144 expression to gauge the progression of erythropoiesis.The investigation is aimed at elucidating the potential roles of lncRNAs within the erythropoietic framework and conducting an initial assessment of their functional impact.Methods The miR-144/451-GFP-H1 cell line(hereafter referred to as 144-H1)was utilized for in vitro erythrocyte induction culture.The subpopulations of cells entering the erythropoiesis stage were characterized by the surface molecules CD71 and GPA.The GFP reporter gene of miR-144 served as a critical determi-nant to distinguish between GFP-positive cells(with a high propensity for erythropoiesis)and GFP-negative cells(with a low propensity for erythropoiesis).Transcriptome sequencing was performed on both groups to identify differentially ex-pressed long non-coding RNAs(lncRNAs).LncRNA entries with potential for validation were selected for preliminary func-tional verification.The CRISPR/Cas9 gene editing technique was employed to design functional interference strategies for the targeted lncRNAs,obtaining 144-H1 cell lines with knocked-out function of the specific lncRNAs.These knockout cell lines,along with non-knockout 144-H1 cell lines,were used for parallel erythrocyte induction culture to identify differential nodes.This approach preliminarily verified their impact on erythropoiesis in an in vitro development model.Results 1)The constructed 144-H1 cell line was capable of expressing GFP fluorescence upon entering the stage of in vitro erythrocyte in-duction,indicating the activation of miR-144/451.2)Within the CD71,GPA double-positive group,significant differences in lncRNA expression were observed between the GFP-positive and GFP-negative subpopulations.3)Gene editing strategies involving the deletion of sequence segments capable of effectively interfering with the function of multiple lncRNA entries were designed and verified for successful editing.In the knockout cell lines,parts of the lncRNA sequences were directly de-leted.4)In parallel validation experiments of erythrocyte induction culture,cell lines with LINC01569 knocked out exhibited significant differences in flow cytometric subpopulations and cell proliferation capabilities compared to the non-knockout cell lines:①The knockout cell lines showed sustained high expression of GFP fluorescence.②The proportion of the CD71-GPA double-positive group in the knockout cell lines continuously decreased during erythrocyte maturation.③No significant ex-pression of hemoglobin was observed in the knockout cell lines,lacking the characteristic red color.④The cell proliferation capability of the knockout cell lines was significantly lower than that of the non-knockout cell lines(P＜0.05).Conclusion The successful employment of the 144-H1 cell line facilitated an exploration into the potential functions of lncRNAs in e-rythropoiesis.This enables the design of more refined in vitro developmental experiments to enhance the precision in captu-ring lncRNA functions.Among the differentially expressed lncRNA entries,LINC01569 was preliminarily validated to play a regulatory role in erythropoiesis.The functional absence of LINC01569 severely impacts the normal differentiation and prolif-eration of erythrocytes.The specific regulatory mechanism of LINC01569 in erythropoiesis warrants further investigation and research.

Objective:To develop a risk prediction model for acute kidney injury (AKI) in young, middle-aged and elderly patients with acute ischemic stroke (AIS), and verify the predictive ability of the model.Methods:Patients admitted to the Department of Neurology, Lianyungang Hospital Affiliated to Xuzhou Medical University from January 2018 to August 2022 were retrospectively included as a modeling cohort, and patients with AIS from September 2022 to September 2023 were prospectively included as a validation cohort. Independent risk factors for AKI were determined by multivariate logistic regression analysis, and risk prediction models for AKI in young AIS patients group and middle-aged and elderly AIS patients group were developed. The predictive power of the model was tested using the receiver operating characteristic (ROC) curve. Results:The young group included 760 patients with AIS, of which 584 (76.84%) were in the modeling cohort, and 146 (25.00%) had AKI. Multivariate logistic regression analysis showed that anemia, systolic blood pressure, homocysteine, alcohol consumption, blood urea nitrogen, and National Institutes of Health Stroke Scale (NIHSS) score were independent risk factors for AKI (all P<0.05). ROC analysis showed that the area under the curve of the predictive model was 0.938 (95% confidence interval 0.912-0.963), the Youden index was 0.747, and the optimal cut-off value was 0.249. The sensitivity and specificity of predicting AKI were 84.8% and 89.9%, respectively. A total of 1 417 patients with AIS were included in the middle-aged and elderly group, of which 833 patients (58.79%) were in the modeling cohort and 230 (27.61%) had AKI. Multivariate logistic regression analysis showed that hypertension, atrial fibrillation, previous stroke history, smoking, infection, triglycerides, NIHSS score, use of antihypertensive drugs, use of loop diuretics, serum creatinine, and blood urea nitrogen were the independent risk factors for AKI ( P<0.05). ROC analysis showed that the area under the curve of the predictive model was 0.838 (95% confidence interval 0.808-0.868), the Youden index was 0.539, the optimal cut-off value was 0.242, and the predictive sensitivity and specificity were 78.3% and 75.6%, respectively. The Hosmer-Lemeshow goodness of fit test showed the predictive accuracy of the model was in good agreement with the actual occurrence of risk (the young group: χ2=8.968, P=0.345; the middle-aged and elderly group: χ2=11.250, P=0.188). The validation cohort analysis shows that the model had high prediction accuracy and credibility in two groups. Conclusion:The model can specifically predict the risk of AKI in young, middle-aged and elderly patients with AIS, with high sensitivity and specificity.

Acute kidney injury (AKI) is a common serious complication after acute ischemic stroke (AIS), which is associated with an increased mortality and disability. However, the clinical prevalence is often underestimated or overlooked. This article reviews the pathogenesis, risk factors, predictive factors, and predictive models of AKI in patients with AIS, in order to provide a basis for early clinical identification and diagnosis of AKI in patients with AIS.

Objective:To explore the efficacy, safety and possible brain network mechanisms of individualized targeted robot assisted Stanford accelerated intelligent neuromodulation therapy (SAINT).Methods:This was a small-sample, open-label study including 15 depressed patients with suicidal ideation. All participants were treated with SAINT in combination with SNRIs. The stimulation target was localized to the region of the left dorsolateral prefrontal cortex (DLPFC) that showed the most negative functional connectivity with the subgenual anterior cingulate cortex (sgACC) based on fMRI data. Stimulation sessions were delivered hourly. Ten sessions were applied per day (18, 000 pulses/day) for 5 consecutive days (90, 000 pulses in total). Stimulation was delivered at 90% resting motor threshold. The changes of functional connectivity of brain networks in various brain regions before and after treatment were compared and analyzed by rest software and functional connectivity analysis based on seed points. The Beck Suicidal Ideation Scale Chinese Version (BSI-CV), HAMD 17, and MADRS were used to assess the suicidal ideation and depressive symptoms at baseline, post treatment, 15 days after treatment, and 30 days after treatment. Statistical analysis was performed using repeated measurements of ANOVA and paired t-tests. Results:(1) After 5-day treatment, individual′s BSI-CV score decreased significantly ( F=38.77, P<0.01), and their average score decreased by 11.80±1.17 (95 %CI=8.19-15.41), with a response rate of 86.67%. SAINT was well tolerated, and there were no significant side effects on individual′s cognitive function. (2) After treatment, patient′s MADRS score decreased significantly at all follow-up assessments ( F=306.97, P<0.01), and the average score decreased by 22.53±1.10 (95 %CI=19.15-25.91) after 5-day treatment, with a response rate of 93.33%. After 15 days and 30 days, the remission and response rates of treatment were 53.33%, 100.00%, 93.33% and 100.00%, respectively. (3) The functional network connectivity after individualized targeted robot assisted SAINT therapy showed significant improvement between sgACC, frontal lobe, temporal lobe, and parietal lobe. Conclusion:Individualized targeted robot assisted SAINT therapy showed satisfactory efficacy and safety in the reduction of suicidal ideation and depressive symptoms, and also improve the functional network connectivity of the injured brain network. Meanwhile, large-sample, randomized, and double-blind controlled studies are warranted to confirm the findings of the current study.

Objective:This study explored the impacts of repetitive transcranial magnetic stimulation (rTMS) on spontaneous brain activity in patients with major depressive disorder (MDD).Methods:This study was a randomized controlled study. First-episode, drug-na?ve patients with MDD ( n=27) and healthy controls ( n=30) were enrolled. The left dorsolateral prefrontal region was the stimulation target, and all participants received rTMS treatment for fifteen successive days. Hamilton Depression Rating Scale (HAMD 17) and resting-state functional magnetic resonance imaging (rs-fMRI) data were collected at baseline and the 15th day of the treatment. Changes in the spontaneous brain activity before and after the treatment were compared using the paired samples t-test or the independent sample t-test. The two indices of the amplitude of the low-frequency fluctuation (ALFF) and regional homogeneity(ReHo) were applied to reflect the spontaneous brain activity. Results:After treatment, the score of HAMD 17 (9.4±4.3) in MDD patients was significantly lower than that before the treatment (21.1±6.0), the average score decreased by (11.7±3.6), the remission rate was 40.74%, and the response rate was 74.07%. fMRI results: Before treatment, patients with MDD had significantly lower ALFF in the left superior frontal gyrus ( t=-8.14, P<0.001), higher ALFF in the left middle frontal gyrus and left precuneus ( t=5.79, 6.24, P<0.001), and lower ReHo in the left middle frontal and left middle occipital gyri ( t=-5.17, -6.11, P<0.001) than the corresponding values observed in healthy controls; After the rTMS treatment, the ALFF significantly increased in the left superior frontal gyrus ( t=7.32, P<0.001) and decreased in the left middle frontal gyrus and left precuneus ( t=-4.96,-5.14, P<0.001). Furthermore, ReHo significantly increased in the left middle frontal and left middle occipital gyri ( t=4.25,4.19, P<0.001) in patients with MDD. The score of HAMD 17 after treatment was significantly and negatively correlated with ALFF value of left superior frontal gyrus after treatment ( r=-0.390, P=0.044). Conclusion:Successive 15-day rTMS treatment could efficiently and effectively alleviate individual′s depressive symptoms. The left middle frontal gyrus may play an important role in abnormal spontaneous brain activity in MDD patients; and left superior frontal gyrus function may be essential in improving depressive symptoms.