BACKGROUND: The available evidence regarding the benefits of percutaneous coronary intervention (PCI) on patients receiving dialysis with coronary artery disease (CAD) is limited and inconsistent. This study aimed to evaluate the association between PCI and clinical outcomes as compared with medical therapy alone in patients undergoing dialysis with CAD in China. METHODS: This multicenter, retrospective study was conducted in 30 tertiary medical centers across 12 provinces in China from January 2015 to June 2021 to include patients on dialysis with CAD. The primary outcome was major adverse cardiovascular events (MACE), defined as a composite of cardiovascular death, non-fatal myocardial infarction, and non-fatal stroke. Secondary outcomes included all-cause death, the individual components of MACE, and Bleeding Academic Research Consortium criteria types 2, 3, or 5 bleeding. Multivariable Cox proportional hazard models were used to assess the association between PCI and outcomes. Inverse probability of treatment weighting (IPTW) and propensity score matching (PSM) were performed to account for potential between-group differences. RESULTS: Of the 1146 patients on dialysis with significant CAD, 821 (71.6%) underwent PCI. After a median follow-up of 23.0 months, PCI was associated with a 43.0% significantly lower risk for MACE (33.9% [ n  = 278] vs . 43.7% [ n  = 142]; adjusted hazards ratio 0.57, 95% confidence interval 0.45-0.71), along with a slightly increased risk for bleeding outcomes that did not reach statistical significance (11.1% vs . 8.3%; adjusted hazards ratio 1.31, 95% confidence interval, 0.82-2.11). Furthermore, PCI was associated with a significant reduction in all-cause and cardiovascular mortalities. Subgroup analysis did not modify the association of PCI with patient outcomes. These primary findings were consistent across IPTW, PSM, and competing risk analyses. CONCLUSION This study indicated that PCI in patients on dialysis with CAD was significantly associated with lower MACE and mortality when comparing with those with medical therapy alone, albeit with a slightly increased risk for bleeding events that did not reach statistical significance.
Humans ; Percutaneous Coronary Intervention/methods* ; Male ; Female ; Coronary Artery Disease/drug therapy* ; Retrospective Studies ; Renal Dialysis/methods* ; Middle Aged ; Aged ; China ; Proportional Hazards Models ; Treatment Outcome

OBJECTIVE: To assess the independent and combined effects of air pollutants, meteorological factors, and greenspace exposure on new tuberculosis (TB) cases. METHODS: TB case data from Shanghai (2013-2018) were obtained from the Shanghai Center for Disease Control and Prevention. Environmental data on air pollutants, meteorological variables, and greenspace exposure were obtained from the National Tibetan Plateau Data Center. We employed a distributed-lag nonlinear model to assess the effects of these environmental factors on TB cases. RESULTS: Increased TB risk was linked to PM _2.5, PM ₁₀, and rainfall, whereas NO ₂, SO ₂, and air pressure were associated with a reduced risk. Specifically, the strongest cumulative effects occurred at various lags: PM _2.5 ( RR = 1.166, 95% CI: 1.026-1.325) at 0-19 weeks; PM ₁₀ ( RR = 1.167, 95% CI: 1.028-1.324) at 0-18 weeks; NO ₂ ( RR = 0.968, 95% CI: 0.938-0.999) at 0-1 weeks; SO ₂ ( RR = 0.945, 95% CI: 0.894-0.999) at 0-2 weeks; air pressure ( RR = 0.604, 95% CI: 0.447-0.816) at 0-8 weeks; and rainfall ( RR = 1.404, 95% CI: 1.076-1.833) at 0-22 weeks. Green space exposure did not significantly impact TB cases. Additionally, low temperatures amplified the effect of PM _2.5 on TB. CONCLUSION Exposure to PM _2.5, PM ₁₀, and rainfall increased the risk of TB, highlighting the need to address air pollutants for the prevention of TB in Shanghai.
China/epidemiology* ; Humans ; Air Pollutants/analysis* ; Tuberculosis/epidemiology* ; Incidence ; Meteorological Concepts ; Particulate Matter/adverse effects* ; Environmental Exposure ; Male ; Female ; Adult ; Air Pollution ; Middle Aged

OBJECTIVE: To investigate the association of various polycyclic aromatic hydrocarbon (PAH) metabolites with diverse subtypes of cardiovascular disease (CVD) risk. METHODS: A novel predicting risk of cardiovascular disease EVENTs PREVENT equation was used to estimate the 10-year diverse subtypes of CVD risk, and their associations with PAH metabolites were analyzed using multiple logistic regression models, the weighted quantile sum (WQS) model, the quantile g-computation (qgcomp) model, and a stratified analysis of subgroups. RESULTS: For this study, six thousand seven hundred and forty-five participants were selected, and significant positive associations were observed between PAHs, naphthalene (NAP), and fluorene (FLU), and the risks of total CVD, atherosclerotic cardiovascular disease (ASCVD), and heart failure (HF). NAP and FLU were the primary contributors to the effects of PAH mixtures, and their associations with total CVD, ASCVD, and HF risk were significant in younger participants (30 ≤ age < 50 years); however, the associations of phenanthrene (PHEN) with ASCVD, HF, coronary heart disease (CHD), and stroke were dominant in aging participants (age ≥ 50 years). Notably, pyrene (PYR) was negatively associated with the risk of ASCVD, HF, CHD, and stroke. Similarly, negative associations of PYR with the four CVD subtypes were noticeable in aging participants. CONCLUSION Different PAHs metabolites had different impacts on each CVD subtype among different age groups. Notably, the protective effects of PYR on ASCVD, HF, CHD, and stroke were noticeable in aging individuals.
Humans ; Cardiovascular Diseases/chemically induced* ; Middle Aged ; Polycyclic Aromatic Hydrocarbons/metabolism* ; Male ; Female ; Adult ; Aged ; Risk Factors ; China/epidemiology*

Objective To analyze the latent categories of traditional Chinese medicine(TCM)constitution of college students,and to explore the moderating effects of latent categories of TCM constitution on the the associations between self-efficacy and depression-anxiety symptoms.Methods An investigation was carried out in two universities of Guangdong Province with 30-item TCM constitution scale,General Self-Efficacy Scale(GSES)and Kessler Psychological Distress Scale,and then a total of 1 097 valid samples were obtained.Correlation analysis,latent profile analysis,and hierarchical regression analysis were used for statistical analysis.Results(1)Four latent categories of TCM constitution were obtained in the college students:generally-balanced type(32.0%),highly-balanced type(17.4%),generally-biased type(36.9%)and highly-biased type(13.7%).There were statistically significant differences in the subscale scores of TCM constitution scale among the college students with various latent categories of TCM constitution(all P＜0.001).(2)Hierarchical regression analysis showed that the self-efficacy negatively predicted the symptoms of depression and anxiety(β value being-0.268,-0.161 respectively,P＜0.001);with the generally-balanced type as reference,the generally-biased type and the highly-biased type positively predicted the symptoms of depression and anxiety,and the highly-balanced type negatively predicted the symptoms of depression and anxiety(all P＜0.001).(3)The latent categories of TCM constitution had moderating effects on the self-efficacy and depression-anxiety symptoms:the depression-anxiety symptoms were relieved with the increase of self-efficacy in the college students with the TCM constitution being generally-biased type,highly-biased type and generally-balanced type(all P＜0.01);in the college students with highly-balanced type,the symptoms of depression(β=0.005,P=0.907)and anxiety(β=0.007,P=0.878)did not change with the increase of self-efficacy.Conclusion Obvious heterogeneity of TCM constitution is presented in the population of college students.The measures of enhancement of self-efficacy and the correction of TCM to promote the psychological health of college students should be performed with reference to the characteristics of their TCM constitution types.

【Objective】 To comprehensively explore the serological characteristics of anti-PP1P^k and potential therapeutic strategies for recurrent miscarriage in p-blood type pregnant women. 【Methods】 Neutralization with pigeon egg white and human plasma, disruption of IgM antibodies by 2-mercaptoethanol reagent, and complement adding were conducted. Anti-PP1P^k titers under different processing conditions, media and temperatures were determined, and neutralizing effect of human plasma on anti-PP1P^k and its sensitization complement ability were analyzed. 【Results】 The titers of anti-PP1P^k in saline and column agglutination were 4 and 8, respectively. Low temperature increased titers, while β-mercaptoethanol treatment significantly reduced them. Pigeon egg white partially neutralized anti-PP1P^k antibodies. Human plasma was also capable of reducing anti-PP1P^k titers with neutralization capability surpassing that of pigeon egg white, and there were individual differences in neutralization capability. 【Conclusion】 The anti-PP1P^k was a blend of antibodies encompassing both IgM and IgG types, exhibiting cold reactivity, and having the potential for complement activation. Human plasma emerges as an effective modulator for diminishing the efficacy of anti-PP1P^k. Plasma transfusion holds promise as a therapeutic avenue for addressing recurrent miscarriages in pregnant individuals with the p phenotype.

Objective To explore the prediction of hospital indoor microbial concentration in air based on real-time indoor air environment monitoring data and machine learning algorithms.Methods Four locations in a hospital were selected as monitoring sampling points from May 23 to June 5,2022.The"internet of things"sensor was used to monitor a variety of real-time air environment data.Air microbial concentration data collected at each point were matched,and the gradient boosting decision tree(GBDT)was used to predict real-time indoor microbial concentra-tion in air.Five other common machine learning models were selected for comparison,including random forest(RF),decision tree(DT),k-nearest neighbor(KNN),linear regression(LR)and artificial neural network(ANN).The validity of the model was verified by the mean absolute error(MAE),root mean square error(RMSE)and mean absolute percentage error(MAPE).Results The MAPE value of GBDT model in the outpa-tient elevator room(point A),bronchoscopy room(point B),CT waiting area(point C),and nurses'station in the supply room(point D)were 22.49％,36.28％,29.34％,and 26.43％,respectively.The mean performance of the GBDT model was higher than that of other machine learning models at three sampling points and slightly lower than that of the ANN model at only one sampling point.The mean MAPE value of GBDT model at four sampling points was 28.64％,that is,the predicted value deviated from the actual value by 28.64％,indicating that GBDT model has good prediction results and the predicted value was within the available range.Conclusion The GBDT machine learning model based on real-time indoor air environment monitoring data can improve the prediction accuracy of in-door air microbial concentration in hospitals.

Hereditary prostate cancer has the highest hereditary rate in men cancers. Genes associated with hereditary prostate cancer susceptibility include mismatch repair genes (MLH1, MSH2, MSH6 and PMS2) and homologous recombination genes (BRCA1/2, ATM, PALB2, CHEK2), and single nucleotide polymorphisms and copy number variants also play a role in genetic mutations. Early onset, rapid disease progression and locally advanced stage are the main features of hereditary prostate cancer. Patients with potentially hereditary prostate cancer would benefit from undergoing genetic testing or counseling. This article reviews the current status of the prevalence, incidence characteristics, and etiology of familial hereditary prostate cancer and other research advances.

In the context of non-alcoholic fatty liver disease (NAFLD), characterized by dysregulated lipid metabolism in hepatocytes, the quest for safe and effective therapeutics targeting lipid metabolism has gained paramount importance. Sanhuang Xiexin Tang (SXT) and Baihu Tang (BHT) have emerged as prominent candidates for treating metabolic disorders. SXT combined with BHT plus Cangzhu (SBC) has been used clinically for Weihuochisheng obese patients. This retrospective analysis focused on assessing the anti-obesity effects of SBC in Weihuochisheng obese patients. We observed significant reductions in body weight and hepatic lipid content among obese patients following SBC treatment. To gain further insights, we investigated the effects and underlying mechanisms of SBC in HFD-fed mice. The results demonstrated that SBC treatment mitigated body weight gain and hepatic lipid accumulation in HFD-fed mice. Pharmacological network analysis suggested that SBC may affect lipid metabolism, mitochondria, inflammation, and apoptosis-a hypothesis supported by the hepatic transcriptomic analysis in HFD-fed mice treated with SBC. Notably, SBC treatment was associated with enhanced hepatic mitochondrial biogenesis and the inhibition of the c-Jun N-terminal kinase (JNK)/nuclear factor-kappa B (NF-κB) and extracellular signal-regulated kinase (ERK)/NF-κB pathways. In conclusion, SBC treatment alleviates NAFLD in both obese patients and mouse models by improving lipid metabolism, potentially through enhancing mitochondrial biogenesis. These effects, in turn, ameliorate inflammation in hepatocytes.
Humans ; Mice ; Animals ; Non-alcoholic Fatty Liver Disease/metabolism* ; NF-kappa B/metabolism* ; Organelle Biogenesis ; Retrospective Studies ; Mice, Inbred C57BL ; Obesity/metabolism* ; Liver ; Inflammation/metabolism* ; Body Weight ; Lipid Metabolism ; Lipids ; Diet, High-Fat/adverse effects*

Objective: To investigate surgical strategies and the corresponding benefits for patients with perihilar cholangiocarcinoma(pCCA). Methods: A total of 81 patients with pCCA who underwent radical excision in the Department of Biliary and Pancreatic Surgery of Sun Yat-Sen Memorial Hospital between January 2014 and December 2021 were retrospectively collected.The cohort consisted of 50 male and 31 female patients,with an age of (62.5±11.5)years(range:26 to 83 years).Seventy-five cases were diagnosed with jaundice,60 of whom received preoperative biliary drainage,while 20 patients received portal vein embolization.Their serum bilirubin level within one week before the operation(M(IQR)) was 44.3 (41.9) μmol/L(range:8.0 to 344.2 μmol/L).Preoperative imaging examinations were performed to evaluate the Bismuth-Corlette type of pCCA,showing 3,6,21,27,and 24 cases of Bismuth-Corlette type Ⅰ,Ⅱ,Ⅲa,Ⅲb,and Ⅳ,respectively.The primary outcome was overall survival (OS),and the secondary outcomes were relapse-free survival (RFS),90-day postoperative morbidity and 90-day postoperative mortality.OS and RFS were estimated using the Kaplan-Meier method and compared by the Log-rank test.Significant prognostic factors were determined using univariate and multivariable Cox proportional hazard regression analyses. Results: In the cohort of 81 pCCA patients,67 cases(82.7%) underwent major hepatectomy while 3 cases received major hepatectomy combined with pancreaticoduodenectomy.Thirty-four patients underwent hepatectomy combined with vascular resection and reconstruction(18 cases of portal vein resection and reconstruction alone;9 cases of hepatic artery resection and reconstruction alone;7 cases of combination of portal vein and hepatic artery resection and reconstruction).Margin negative(R0 excision) were achieved in 53.1%(43/81) of these patients.The operation duration was (627±136)minutes(range:565 to 940 minutes),and the intraoperative blood loss was 400(455)ml(range:200 to 2 800 ml).The 90-day postoperative mortality was 3.7%(3/81).Grade 3-4 postoperative morbidity was 23.4% (19/81) according to the Clavien-Dindo classification of surgical complications.Up to the last follow-up at September 2022,the follow-up time was 34.0(24.2)months (range:0.4 to 103.6 months).Three patients who died within 90 days after surgery were excluded from the survival analysis.The median OS was 36.10 months (95%CI:18.23 to 42.97 months) and the 1-,3-and 5-year OS rates were 85.3%,46.8% and 27.3%,respectively.The median OS of 41 patients with negative margins was 47.83 months(95%CI:36.90 to 58.80 months) and that of 37 patients with positive margins was 20.47 months(95%CI:10.52 to 30.58 months).The median RFS of 70 patients with R0 and R1 resection was 24.50 months(95%CI:12.15 to 31.85 months)and the 1-,3-and 5-year RFS rates were 65.2%,45.7% and 29.9%,respectively.The median RFS of 41 patients with R0 resection was 38.57 months(95%CI:21.50 to 55.63 months) and that of 29 patients with R1 resection was 10.83 months(95%CI:2.82 to 19.86 months). Conclusions: The primary therapy for pCCA is radical surgical resection.A precise preoperative evaluation and sufficient preparation can reduce postoperative morbidity.Surgical treatment can achieve a better survival outcome by increasing the radical resection rate.

The purpose of this study was to evaluate the diagnostic performance of multiparametric ultrasound (mpUS; grayscale US, color Doppler US, strain elastography, and contrast-enhanced US) in the assessment of testicular lesions with negative tumoral markers. MpUS imaging data, patient age, serum tumor markers, scrotal pain, cryptorchidism, and related clinical information were retrospectively collected for patients who underwent mpUS examination between January 2013 and December 2019. Histologic results or follow-up examinations were used as the reference standard. In total, 83 lesions from 79 patients were included in the analysis. Fifty-six patients were finally diagnosed with benign tumors, and 23 patients were ultimately diagnosed with malignant tumors. Chi-square tests or Fisher's exact tests were used to assess the difference between the two groups. Stepwise multivariate logistic regression analysis showed that lesion diameter (odds ratio [OR] = 1.072, P = 0.005), vascularization on color Doppler US (OR = 4.066, P = 0.001), and hyperenhancement during the early phase (OR = 6.465, P = 0.047) were significant independent risk factors for malignancy; however, when compared with neoplastic lesions, pain (OR = 0.136, P < 0.001), absence of vascularization on color Doppler US (OR = 1.680, P = 0.042), and nonenhancement during the late phase (OR = 3.461, P = 0.031) were strongly associated with nonneoplastic lesions. MpUS features are useful for differentiating testicular lesions with negative tumoral markers and improving the preoperative diagnosis, which may avoid inappropriate radical orchiectomy.
Male ; Humans ; Testicular Neoplasms/pathology* ; Biomarkers, Tumor ; Retrospective Studies ; Contrast Media ; Ultrasonography/methods*