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

OBJECTIVES: To construct a Z-score regression model for coronary artery diameter based on echocardiographic data from children in Sichuan Province and to establish a Z-score calculation formula. METHODS: A total of 744 healthy children who underwent physical examinations at Sichuan Provincial People's Hospital from January 2020 to December 2022 were selected as the modeling group, while 251 children diagnosed with Kawasaki disease at the same hospital from January 2018 to December 2022 were selected as the validation group. Pearson correlation analysis was conducted to analyze the relationships between coronary artery diameter values and age, height, weight, and body surface area. A regression model was constructed using function transformation to identify the optimal regression model and establish the Z-score calculation formula, which was then validated. RESULTS: The Pearson correlation analysis showed that the correlation coefficients for the diameters of the left main coronary artery, left anterior descending artery, left circumflex artery, and right coronary artery with body surface area were 0.815, 0.793, 0.704, and 0.802, respectively (P<0.05). Among the constructed regression models, the power function regression model demonstrated the best performance and was therefore chosen as the optimal model for establishing the Z-score calculation formula. Based on this Z-score calculation formula, the detection rate of coronary artery lesions was found to be 21.5% (54/251), which was higher than the detection rate based on absolute values of coronary artery diameter. Notably, in the left anterior descending and left circumflex arteries, the detection rate of coronary artery lesions using this Z-score calculation formula was higher than that of previous classic Z-score calculation formulas. CONCLUSIONS The Z-score calculation formula established based on the power function regression model has a higher detection rate for coronary artery lesions, providing a strong reference for clinicians, particularly in assessing coronary artery lesions in children with Kawasaki disease.
Humans ; Male ; Female ; Child, Preschool ; Child ; Coronary Artery Disease/diagnostic imaging* ; Infant ; Mucocutaneous Lymph Node Syndrome ; Regression Analysis ; Coronary Vessels/diagnostic imaging* ; Echocardiography ; Adolescent

BACKGROUND: Based on the China-VHD database, this study sought to develop and validate a Valvular Heart Disease- specific Age-adjusted Comorbidity Index (VHD-ACI) for predicting mortality risk in patients with VHD. METHODS & RESULTS: The China-VHD study was a nationwide, multi-centre multi-centre cohort study enrolling 13,917 patients with moderate or severe VHD across 46 medical centres in China between April-June 2018. After excluding cases with missing key variables, 11,459 patients were retained for final analysis. The primary endpoint was 2-year all-cause mortality, with 941 deaths (10.0%) observed during follow-up. The VHD-ACI was derived after identifying 13 independent mortality predictors: cardiomyopathy, myocardial infarction, chronic obstructive pulmonary disease, pulmonary artery hypertension, low body weight, anaemia, hypoalbuminaemia, renal insufficiency, moderate/severe hepatic dysfunction, heart failure, cancer, NYHA functional class and age. The index exhibited good discrimination (AUC, 0.79) and calibration (Brier score, 0.062) in the total cohort, outperforming both EuroSCORE II and ACCI (P < 0.001 for comparison). Internal validation through 100 bootstrap iterations yielded a C statistic of 0.694 (95% CI: 0.665-0.723) for 2-year mortality prediction. VHD-ACI scores, as a continuous variable (VHD-ACI score: adjusted HR (95% CI): 1.263 (1.245-1.282), P < 0.001) or categorized using thresholds determined by the Yoden index (VHD-ACI ≥ 9 vs. < 9, adjusted HR (95% CI): 6.216 (5.378-7.184), P < 0.001), were independently associated with mortality. The prognostic performance remained consistent across all VHD subtypes (aortic stenosis, aortic regurgitation, mitral stenosis, mitral regurgitation, tricuspid valve disease, mixed aortic/mitral valve disease and multiple VHD), and clinical subgroups stratified by therapeutic strategy, LVEF status (preserved vs. reduced), disease severity and etiology. CONCLUSION The VHD-ACI is a simple 13-comorbidity algorithm for the prediction of mortality in VHD patients and providing a simple and rapid tool for risk stratification.

Image 1.

OBJECTIVE: To identify prognostic genes associated with lysosome-dependent cell death (LDCD) in patients with gastric cancer (GC). METHODS: Differentially expressed genes (DEGs) were identified using The Cancer Genome Atlas - Stomach Adenocarcinoma. Weighted gene co-expression network analysis was performed to identify the key module genes associated with LDCD score. Candidate genes were identified by DEGs and key module genes. Univariate Cox regression analysis, and least absolute shrinkage and selection operator regression and multivariate Cox regression analyses were performed for the selection of prognostic genes, and risk module was established. Subsequently, key cells were identified in the single-cell dataset (GSE183904), and prognostic gene expression was analyzed. Cell proliferation and migration were assessed using the Cell Counting Kit-8 assay and the wound healing assay. RESULTS: A total of 4,465 DEGs, 95 candidate genes, and 4 prognostic genes, including C19orf59, BATF2, TNFAIP2, and TNFSF18, were identified in the analysis. Receiver operating characteristic curves indicated the excellent predictive power of the risk model. Three key cell types (B cells, chief cells, and endothelial/pericyte cells) were identified in the GSE183904 dataset. C19orf59 and TNFAIP2 exhibited predominant expression in macrophage species, whereas TNFAIP2 evolved over time in endothelial/pericyte cells and chief cells. Functional experiments confirmed that interfering with C19orf59 inhibited proliferation and migration in GC cells. CONCLUSION C19orf59, BATF2, TNFAIP2, and TNFSF18 are prognostic genes associated with LDCD in GC. Furthermore, the risk model established in this study showed robust predictive power.
Stomach Neoplasms/pathology* ; Humans ; Prognosis ; Lysosomes/physiology* ; RNA-Seq ; Cell Death ; Single-Cell Analysis ; Gene Expression Regulation, Neoplastic ; Cell Proliferation ; Single-Cell Gene Expression Analysis

Refeeding syndrome(RFS)has a high incidence among critically ill patients and significantly impacts the re-covery and prognosis of the patients.In this paper,we reviewed the literature on the risk factors and risk prediction models for RFS,finding the risk factors of RFS included patient-related,treatment-related factors and disease-related factors and the risk prediction models encompassed risk stratification model,risk score models and the Logistic regression models.It was concluded from the review that early assessment was crucial to preventing the occurrence of RFS.However,there was still a lack of reliable RFS risk prediction models with good predictive performance.It was found as well that it was crucial for the prevention of RFS to attach importance to nutritional and serological indicators and other factors.It was expected to be a necessity to conduct prospec-tive and multicenter studies to develop a risk prediction model for predicting RFS for ICU patients.Our review provides a refer-ence for early assessment and intervention for critically ill patients with RFS.

Objective:To study the early predictors of refractory septic shock (RSS) in neonates.Methods:From July 2020 to December 2021, clinical data of neonates with septic shock admitted to the Neonatal Department of our hospital were retrospectively reviewed. According to the maximum septic shock score (SSS) during clinical course, the neonates were assigned into RSS group and non-RSS group. Perinatal data, laboratory results and hemodynamic parameters at diagnosis were compared between the two groups. Multiple logistic regression analysis was used to identify independent risk factors of RSS and septic shock-related death. Receiver operating characteristic (ROC) curve was constructed to evaluate the early predictors of poor prognosis.Results:A total of 130 neonates were enrolled, including 54 in RSS group and 76 in non-RSS group. Compared with the non-RSS group, the RSS group had significantly lower pH, base excess (BE), stroke volume index (SVI), cardiac output (CO) and cardiac index (CI).Meanwhile, the RSS group had significantly higher mean arterial pressure (MAP) to CI ratio (MAP/CI) and SSS [including bedside SSS (bSSS), computed SSS (cSSS) and modified version of cSSS (mcSSS)] (all P<0.05). Multiple logistic regression analysis showed that increased MAP/CI was an independent predictor of RSS. The cut-off value of MAP/CI was 11.6 [sensitivity 62%, specificity 87%, positive predictive value (PPV) 79% and negative predictive value (NPV) 77%], with an area under the curve (AUC) of 0.734. Increased mcSSS was an independent predictor of septic shock-related death. The cut-off value of mcSSS was 5.8 (sensitivity 83%, specificity 72%, PPV 21% and NPV 97%), with an AUC of 0.845. Conclusions:Increased MAP/CI (≥11.6) and mcSSS (≥5.8) may be early predictors of RSS and septic shock-related death in neonates.

Objective To investigate the value of prediction of the differentiation level in lung adenocarcinoma based on CT radiomics model.Methods Data from 507 patients with postoperative pathological confirmed lung adenocarcinoma and clearly defined differentiation level of lung adenocarcinoma were retrospective analyzed.The enrolled cases were divided into poorly differentiation group and moderate-to-high differentiation group based on the grading criteria.CT image features were extracted,and seven machine learning algorithms were used to construct prediction models to obtain the AUC,accuracy,specificity,and sensitivity.Results The poorly differentiation group consisted of 175 cases,while the moderate-to-high differentiation group had 332 cases.The XGBoost model demonstrated the best performance,with the AUC,accuracy,specificity,and sensitivity of this model on the validation set being 0.878,0.829,0.667,and 0.727,respectively.Conclusion CT radiomics model can effectively predict the differentiation level of poorly differentiation and moderate-to-high differentiation in lung adenocarcinoma.

[Objective] To investigate the correlation between human leukocyte antigen (HLA) gene polymorphism and hepatitis B virus (HBV) infection. [Methods] Venous blood samples were collected from 501 healthy individuals undergoing physical examinations at Yan’an Hospital in Kunming, Yunnan Province. Enzyme linked immunosorbent assay (ELISA) was used to detect HBV halves. Based on the results of HBV half detection, the patients were divided into three groups: HBV carrier group, previous infection group, and healthy control group. The HLA-A antigen genotype was detected using polymerase chain reaction with sequence specific primers (PCR-SSP) genotyping technology, and the distribution frequency of HLA-A gene polymorphism was compared between HBV carrier group and healthy control group, as well as between previous infection group and healthy control group. SPSS17.0 software was used for data statistical analysis. [Results] In the healthy control group, the HLA-A2 positivity rate was 47.49%, and the allele frequency was 31.29%.The overall frequency of gene distribution in the healthy control group was consistent with the HLA-A allele table commonly and confirmed in China published by the Chinese Bone Marrow Bank. The HLA-A2 positivity rate and allele frequency in the HBV carrier group were 63.04% and 42.23%, respectively; The difference in HLA-A2 positivity rate and allele frequency among carriers was statistically significant (P<0.05). the HLA-A2 positivity rate and allele frequency in the HBV previous infection group were 56.14% and 35.97%, respectively, which did not significantly differ from those in the healthy control group (P>0.05). [Conclusion] HLA-A2 gene may be a susceptibility gene for chronic hepatitis B HBV carriers.

Objective This study aimed to assess the clinical efficacy of Shenling Baizhu Granules in treating low anterior resection syndrome(LARS)in rectal cancer.Methods The study employed a randomized,double-blind,placebo-parallel controlled,single-center,validity-tested clinical trial design.December 2019 to June 2022,the Department of Gastrointestinal Surgery and Integrated Traditional Chinese and Western Medicine of Peking University First Hospital recruited 110 patients who had undergone low anterior resection(LAR)for rectal cancer and subsequently developed LARS.These patients,meeting the enrollment criteria,were randomly assigned into the treatment group(55)and the control group(55)using the double-blind method principle.The randomization table was generated by SAS 9.2 software employing the double-blind method.The treatment group received oral Shenling Baizhu Granules,while the control group received oral placebo granules.Both groups commenced treatment on the 10th day after-surgery for 30 consecutive days.Patients were evaluated using LARS score,traditional Chinese medicine(TCM)symptom grading,and XU Zhongfa score before treatment,on the 15th day of treatment,and on the 1st day after treatment cessation.Results Out of 110 patients,107 were included in the full analysis set for efficacy analysis:55 patients in the treatment group and 55 patients in the control group.One case in the treatment group was excluded(against protocol),and two cases in the control group were excluded(one lost to follow-up,one against protocol).Baseline data between the two groups were consistent,with no statistically significant difference.Before treatment,LARS scores for the treatment and control groups were 33.0(31.0,36.0)and 34.0(32.0,37.0)respectively.Patients with TCM symptom scores of grades 2 to 3 accounted for 92.73％and 90.57％in the treatment and control groups,respectively,with no statistically significant difference.After 30 days of treatment,LARS scores for the treatment and control groups were 21.0(19.8,23.0)and 26.0(22.0,28.0)respectively.The percentage of patients with TCM symptom scores of grades 2 to 3 decreased to 33.33％in the treatment group and 66.04％in the control group,with a statistically significant difference.Shenling Baizhu Granules showed rapid improvement in watery or loose stools in post-operative rectal cancer patients.After 30 days of treatment,Shenling Baizhu Granules significantly improved appetite,stool consistency,abdominal distension,abdominal pain,and eructation symptoms in postoperative rectal cancer patients.Before treatment,the XU Zhongfa scores for the treatment and control groups were 3.0(2.0,4.3)and 4.0(2.0,4.0)respectively,with no statistically significant difference.After 30 days of treatment,the XU Zhongfa scores for the treatment and control groups were 7.0(6.0,8.0)and 6.0(5.0,7.0)respectively,with the treatment group significantly higher than the control group(P＜0.01).Conclusion Shenling Baizhu Granules can effectively improve LARS symptoms in patients following LAR of rectal cancer within a short period of time.