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 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 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 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.

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*

COVID-19 has been prevalent for three years. The virulence of SARS-CoV-2 is weaken as it mutates continuously. However, elderly patients, especially those with underlying diseases, are still at high risk of developing severe infections. With the continuous study of the molecular structure and pathogenic mechanism of SARS-CoV-2, antiviral drugs for COVID-19 have been successively marketed, and these anti-SARS-CoV-2 drugs can effectively reduce the severe rate and mortality of elderly patients. This article reviews the mechanism, clinical medication regimens, drug interactions and adverse reactions of five small molecule antiviral drugs currently approved for marketing in China, so as to provide advice for the clinical rational use of anti-SARS-CoV-2 in the elderly.

Objective: Schizophrenia is a complex and devastating psychiatric disorder with a strong genetic background. However, much uncertainty still exists about the role of genetic susceptibility in the pathophysiology of schizophrenia. TEA domain transcription factor 1 (TEAD1) is a transcription factor associated with neurodevelopment and has modulating effects on various nervous system diseases. In the current study, we performed a case–control association study in a Northeast Chinese Han population to explore the characteristics of pathogenic TEAD1 polymorphisms and potential association with schizophrenia. Methods: We recruited a total of 721 schizophrenia patients and 1,195 healthy controls in this study. The 9 single nucleotide polymorphisms (SNPs) in the gene region of TEAD1 were selected and genotyped. Results: The genetic association analyses showed that five SNPs (rs12289262, rs6485989, rs4415740, rs7113256, and rs1866709) were significantly different between schizophrenia patients and healthy controls in allele or/and genotype frequencies. After Bonferroni correction, the association of three SNPs (rs4415740, rs7113256, and rs1866709) with schizophrenia were still evident. Haplotype analysis revealed that two strong linkage disequilibrium blocks (rs6485989-rs4415740-rs7113256 and rs16911710-rs12364619-rs1866709) were globally associated with schizophrenia. Four haplotypes (C-C-C and T-T-T, rs6485989-rs4415740-rs7113256; G-T-A and G-T-G, rs16911710-rs12364619-rs1866709) were significantly different between schizophrenia patients and healthy controls. Conclusion The current findings indicated that the human TEAD1 gene has a genetic association with schizophrenia in the Chinese Han population and may act as a susceptibility gene for schizophrenia.

  Objective  To analyze the clinical characteristics of thyroid LCH to enhance understanding of the disease.  Methods  We retrospectively studied the clinical data from six thyroid LCH patients who hospitalized in Huashan Hospital Affiliated to Fudan University from January 2015 to January 2022.We analyzed the ultrasound and ¹⁸F FDG-PET/CT imaging characteristics of thyroid LCH.  Results  The six patients diagnosed (2 males and 4 females) were between 18 and 58 years old.All patients had diabetes insipidus.MRI revealed thickened pituitary stalk.Two cases had central hypothyroidism, while four cases euthyroidism.Three cases tested positive for thyroid antibodies.Ultrasound showed thyroid nodules of TI-RADS 3 in three cases, TI-RADS 4 in two cases, and 1 with nodular goiter.Ultrasound showed that all sic cases indicated low echogenicity, 5 of which clear boundaries, 4 of which uneven echo distribution, 5 of which irregular shape, and noen has calcification.¹⁸F FDG-PET/CT indicated high uptake nodules with SUVmax values all above 10.4 cases were diagnosed by surgical excision and the other 2 by coarse-needle aspiration biopsy.When diagnosed, two cases had liver and thymus involvement respectively.One case had lung and bone involvement respectively.After treatment, 4 cases showed that nodular goiter shrank, while the other two with liver involvement progressed fast and no assessment made.  Conclusions  Thyroid LCH presented low echogenicity, clear boundaries, irregular shape, without calcification, and high uptake in ¹⁸F FDG-PET/CT.A definite diagnosis of pituitary stalk thicking accompanied by thyroid nodules, especially those with hypoechoic and irregular nodules, can be achieved by coarse-needle aspiration biopsy and langerin-specific pathological staining.