Development and validation of a scoring system to predict the mortality of hospitalized patients with SARS-CoV-2 Omicron: a nationwide, multicentre study.

BACKGROUND: The Omicron variant broke out in China at the end of 2022, causing a considerable number of severe cases and even deaths. The study aimed to identify risk factors for death in patients hospitalized with SARS-CoV-2 Omicron infection and to establish a scoring system for predicting mortality. METHODS: 1817 patients were enrolled at eight hospitals in China from December 2022 to May 2023, including 815 patients in the training group and 1002 patients in the validation group. Forty-six clinical and laboratory features were screened using LASSO regression and multivariable logistic regression. RESULTS: In the training set, 730 patients were discharged and 85 patients died. In the validation set, 918 patients were discharged and 84 patients died. LASSO regression identified age, levels of interleukin (IL) -6, blood urea nitrogen (BUN), lactate dehydrogenase (LDH), and D-dimer; neutrophil count, neutrophil-to-lymphocyte ratio (NLR) as associated with mortality. Multivariable logistic regression analysis showed that older age, IL-6, BUN, LDH and D-dimer were significant independent risk factors. Based on these variables, a scoring system was developed with a sensitivity of 83.6% and a specificity of 83.5% in the training group, and a sensitivity of 79.8% and a sensitivity of 83.0% in the validation group. CONCLUSIONS: A scoring system based on age, IL-6, BUN, LDH and D-dime can help clinicians identify patients with poor prognosis early.

The Utility of Real-time PCR, Metagenomic Next-generation Sequencing, and Culture in Bronchoalveolar Lavage Fluid for Diagnosis of Pulmonary Aspergillosis.

Timely detection of Aspergillus infection is crucial given the high mortality rate of pulmonary aspergillosis (PA). Here, the diagnostic performances for PA of mycological culture, Aspergillus real-time Polymerase Chain Reaction (RT-PCR), and metagenomic next-generation sequencing (mNGS) assay from bronchoalveolar lavage fluid (BALF), were evaluated. Totally 139 patients with suspected fungal pneumonia were enrolled between December 2021 and July 2023, collecting 139 BALF samples for RT-PCR and culture, with 87 undergoing mNGS assay. The sensitivity, specificity, positive predictive value, negative predictive value, and area under the curve (AUC) with 95% confidence intervals of these assays for PA were as follows: 35.3% (14.2-61.7%), 100.0% (94.0-100.0%), 100.0% (54.1-100.0%), 84.5% (79.3-88.6%), and 0.676 (0.560-0.779) for culture; 82.4% (56.6-96.2%), 98.3% (91.1-100.0%), 93.3% (66.4-99.0%), 95.2% (87.6-98.2%) and 0.903 (0.815-0.959) for same diagnostic performance of RT-PCR and mNGS; and 94.1% (71.3-99.9%), 96.7% (88.5-99.6%), 88.9% (67.1-96.9%), 98.3% (89.6-99.7%), 0.954 (0.880-0.989) for RT-PCR combining mNGS; RT-PCR, mNGS, and their combination significantly improved in AUC values over culture (p <0.001), but RT-PCR testing and mNGS had no significant difference with each other and their combination. Overall, the performance of culture was limited by low sensitivity, both RT-PCR and mNGS assays as single diagnostic tests are promising compared to culture and combined tests.

ABBV-744 alleviates LPS-induced neuroinflammation via regulation of BATF2-IRF4-STAT1/3/5 axis.

Suppression of neuroinflammation using small molecule compounds targeting the key pathways in microglial inflammation has attracted great interest. Recently, increasing attention has been gained to the role of the second bromodomain (BD2) of the bromodomain and extra-terminal (BET) proteins, while its effect and molecular mechanism on microglial inflammation has not yet been explored. In this study, we evaluated the therapeutic effects of ABBV-744, a BD2 high selective BET inhibitor, on lipopolysaccharide (LPS)-induced microglial inflammation in vitro and in vivo, and explored the key pathways by which ABBV-744 regulated microglia-mediated neuroinflammation. We found that pretreatment of ABBV-744 concentration-dependently inhibited the expression of LPS-induced inflammatory mediators/enzymes including NO, TNF-α, IL-1ß, IL-6, iNOS, and COX-2 in BV-2 microglial cells. These effects were validated in LPS-treated primary microglial cells. Furthermore, we observed that administration of ABBV-744 significantly alleviated LPS-induced activation of microglia and transcriptional levels of pro-inflammatory factors TNF-α and IL-1ß in mouse hippocampus and cortex. RNA-Sequencing (RNA-seq) analysis revealed that ABBV-744 induced 508 differentially expressed genes (DEGs) in LPS-stimulated BV-2 cells, and gene enrichment and gene expression network analysis verified its regulation on activated microglial genes and inflammatory pathways. We demonstrated that pretreatment of ABBV-744 significantly reduced the expression levels of basic leucine zipper ATF-like transcription factor 2 (BATF2) and interferon regulatory factor 4 (IRF4), and suppressed JAK-STAT signaling pathway in LPS-stimulated BV-2 cells and mice, suggesting that the anti-neuroinflammatory effect of ABBV-744 might be associated with regulation of BATF2-IRF4-STAT1/3/5 pathway, which was confirmed by gene knockdown experiments. This study demonstrates the effect of a BD2 high selective BET inhibitor, ABBV-744, against microglial inflammation, and reveals a BATF2-IRF4-STAT1/3/5 pathway in regulation of microglial inflammation, which might provide new clues for discovery of effective therapeutic strategy against neuroinflammation.

Clinical characteristics and antimicrobial susceptibility profiles of Mycobacterium abscessus and Mycobacterium massiliense pulmonary infection.

OBJECTIVES: Mycobacterium abscessus complex (MABC) is the most common rapidly growing Mycobacterium species in structural pulmonary diseases and can be life-threatening. This study aimed to assess the clinical characteristics and drug-susceptibility statuses of different M. abscessus (MAB) subspecies in the Zhejiang Province. METHODS: DNA sequencing was used to differentiate clinical MABC subspecies isolates. The Clinical and Laboratory Standards Institute guidelines were used to determine in vitro susceptibility of imipenem-relebactam (IMP-REL), omadacycline, and other conventional antibiotics. Patient clinical characteristics were collected and analysed. RESULTS: In total, 139 M. abscessus, 39 Mycobacterium massiliense, and 1 Mycobacterium bolletii isolates were collected, accounting for 77.7%, 21.8%, and 0.5% of the MABC isolates, respectively. Patients with M. abscessus pulmonary disease (M.ab-PD) had higher proportions of older adults, tuberculosis history, chronic pulmonary disease, and malignancy than those with M. massiliense pulmonary disease (M.ma-PD). Patients with M.ab-PD had higher rates of bilateral middle- and lower-lobe involvement than patients with M.ma-PD. Both subspecies showed high resistance rates to doxycycline and moxifloxacin, and clarithromycin-induced resistance was more common in M.ab than in M.ma. IMP-REL resulted in a twofold reduction in the minimum inhibitory concentration (MIC) value compared with imipenem alone among MAB; furthermore, the MIC was lower in M.ab than in M.ma. Omadacycline and tigecycline had comparable in vitro susceptibility, and the MIC showed no statistically significant difference between M.ab and M.ma. CONCLUSIONS: M.ab is the most prevalent MABC subspecies in the Zhejiang Province. Patients with M.ab-PD have complex underlying diseases and broader lobar lesions. IMP-REL and omadacycline are promising antibiotics for MABC infection treatment.

Macrolide resistance of Mycoplasma pneumoniae in several regions of China from 2013 to 2019.

This paper retrospectively analysed the prevalence of macrolide-resistant Mycoplasma pneumoniae (MRMP) in some parts of China. Between January 2013 and December 2019, we collected 4,145 respiratory samples, including pharyngeal swabs and alveolar lavage fluid. The highest PCR-positive rate of M. pneumoniae was 74.5% in Beijing, the highest resistance rate was 100% in Shanghai, and Gansu was the lowest with 20%. The highest PCR-positive rate of M. pneumoniae was 74.5% in 2013, and the highest MRMP was 97.4% in 2019; the PCR-positive rate of M. pneumoniae for adults in Beijing was 17.9% and the MRMP was 10.48%. Among the children diagnosed with community-acquired pneumonia (CAP), the PCR-positive and macrolide-resistant rates of M. pneumoniae were both higher in the severe ones. A2063G in domain V of 23S rRNA was the major macrolide-resistant mutation, accounting for more than 90%. The MIC values of all MRMP to erythromycin and azithromycin were ≥ 64 µg/ml, and the MICs of tetracycline and levofloxacin were ≤ 0.5 µg/ml and ≤ 1 µg/ml, respectively. The macrolide resistance varied in different regions and years. Among inpatients, the macrolide-resistant rate was higher in severe pneumonia. A2063G was the common mutation, and we found no resistance to tetracycline and levofloxacin.

Schizophrenia in the genetic era: a review from development history, clinical features and genomic research approaches to insights of susceptibility genes.

Schizophrenia is a devastating neuropsychiatric disorder affecting 1% of the world population and ranks as one of the disorders providing the most severe burden for society. Schizophrenia etiology remains obscure involving multi-risk factors, such as genetic, environmental, nutritional, and developmental factors. Complex interactions of genetic and environmental factors have been implicated in the etiology of schizophrenia. This review provides an overview of the historical origins, pathophysiological mechanisms, diagnosis, clinical symptoms and corresponding treatment of schizophrenia. In addition, as schizophrenia is a polygenic, genetic disorder caused by the combined action of multiple micro-effective genes, we further detail several approaches, such as candidate gene association study (CGAS) and genome-wide association study (GWAS), which are commonly used in schizophrenia genomics studies. A number of GWASs about schizophrenia have been performed with the hope to identify novel, consistent and influential risk genetic factors. Finally, some schizophrenia susceptibility genes have been identified and reported in recent years and their biological functions are also listed. This review may serve as a summary of past research on schizophrenia genomics and susceptibility genes (NRG1, DISC1, RELN, BDNF, MSI2), which may point the way to future schizophrenia genetics research. In addition, depending on the above discovery of susceptibility genes and their exact function, the development and application of antipsychotic drugs will be promoted in the future.

Omaveloxolone ameliorates isoproterenol-induced pathological cardiac hypertrophy in mice.

Nuclear factor erythroid 2-related factor 2 (Nrf2) is an important transcriptional regulator that plays a protective role against various cardiovascular diseases. Omaveloxolone is a newly discovered potent activator of Nrf2 that has a variety of cytoprotective functions. However, the potential role of omaveloxolone in the process of pathological cardiac hypertrophy and heart failure are still unknown. In this study, an isoproterenol (ISO)-induced pathological cardiac hypertrophy model was established to investigate the protective effect of omaveloxolone in vivo and in vitro. Our study first confirmed that omaveloxolone administration improved ISO-induced pathological cardiac hypertrophy in mice and neonatal cardiomyocytes. Omaveloxolone administration also diminished ISO-induced cardiac oxidative stress, inflammation and cardiomyocyte apoptosis. In addition, omaveloxolone administration activated the Nrf2 signaling pathway, and Nrf2 knockdown almost completely abolished the cardioprotective effect of omaveloxolone, indicated that the cardioprotective effect of omaveloxolone was directly related to the activation of the Nrf2 signaling. In summary, our study identified that omaveloxolone may be a promising therapeutic agent to mitigate pathological cardiac hypertrophy.

Integrative analysis of renal microRNA and mRNA to identify hub genes and pivotal pathways associated with cyclosporine-induced acute kidney injury in mice.

Cyclosporine (CsA) is an immunosuppressive agent that often causes acute kidney injury (AKI) in children. The specific mechanisms underlying CsA-induced AKI are currently unknown. This study used an integrated network analysis of microRNA (miRNA) and mRNA expression profiles, biochemical and pathological analyses to further investigate these potential mechanisms of CsA-induced AKI. Small RNA sequence analysis identified 25 differentially expressed miRNAs, RNA sequencing analysis identified 4,109 differentially expressed mRNAs. We obtained a total of 4,367 target genes from the 25 differentially expressed miRNAs based on three algorithms, including the Mirdb, Mirtarbase, and TargetScan. 971 target genes overlapped between the 4,367 target genes and 4,109 differentially expressed mRNAs were identified for further bioinformatics analysis. Finally, 30 hub genes and two main modules were recognized. Functional enrichment analysis of 30 hub genes indicated that inflammation and epithelial-mesenchymal transition (EMT) related genes were mainly concentrated together. Pathway analysis revealed that the PI3K-Akt signaling pathway plays an integral role in CsA-induced AKI. Network analysis identified 3 important miRNAs, mmu-miR-17b-5p, mmu-miR-19b-3p, and mmu-mir-423-5p that may further promote the development of inflammatory responses and EMT by mediating a complex network of factors. Our research provides a clearer understanding the molecular mechanism of this specific drug-induced AKI by CsA use, which is useful for discovering potential targets for gene therapies, and drug development in CsA-induced AKI.

Concentration of contezolid in cerebrospinal fluid and serum in a patient with tuberculous meningoencephalitis: A case report.

Central nervous system (CNS) tuberculosis (TB) is a devastating and often life-threatening disease caused by Mycobacterium tuberculosis. Contezolid, a new oxazolidinone, has demonstrated potent antimycobacterial activity in both in-vivo and in-vitro studies, with lower toxicity than linezolid. However, pharmacokinetic data are still not available for contezolid in the CNS of patients with CNS TB. This article reports the steady-state concentrations of contezolid in serum and cerebrospinal fluid (CSF) of a patient receiving contezolid as part of multi-drug treatment for tuberculous meningoencephalitis. At weeks 7 and 11 (7 h post-dose) after initiation of contezolid therapy, the serum concentrations of contezolid were 9.64 mg/L and 9.36 mg/L, respectively. In CSF, the observed concentrations of contezolid were 0.54 mg/L and 1.15 mg/L, respectively. The CSF:serum concentration ratios were 0.056 and 0.123 at weeks 7 and 11, respectively. The observed concentrations in CSF were above the minimum inhibitory concentration of contezolid against M. tuberculosis, and were close to the estimated serum unbound fraction of contezolid (10%), suggesting that unbound contezolid has high CSF permeability.

Randomized control study of the use of faropenem for treating patients with pulmonary tuberculosis.

OBJECTIVES: Faropenem has antituberculosis activity in vitro but its utility in treating patients with tuberculosis (TB) is unclear. METHODS: We conducted an open-label, randomized trial in China, involving newly diagnosed, drug-susceptible pulmonary TB. The control group was treated with the standard 6-month regimen. The experimental group replaced ethambutol with faropenem for 2 months. The primary outcome was the treatment success rate after 6 months of treatment. Noninferiority was confirmed if the lower limit of a 95% one-sided confidence interval (CI) of the difference was greater than -10%. RESULTS: A total of 227 patients eligible for the study were enrolled in the trial group and the control group in a ratio of 1:1. Baseline characteristics of participants were similar in both groups. In the modified intention-to-treat population, 88.18% of patients in the faropenem group achieved treatment success, and 85.98% of those in the control group were successfully treated, with a difference of 2.2% (95% CI, -6.73-11.13). In the per-protocol population, treatment success was 96.04% in the faropenem group and 95.83% in the control group, with a difference of 2.1% (95% CI, -5.31-5.72). The faropenem group showed noninferiority to the control group in the 6-month treatment success rates. The faropenem group had significantly fewer adverse events (P <0.01). CONCLUSIONS: Our study proved that oral faropenem regimen can be used for the treatment of TB, with fewer adverse events. (Chinese Clinical Trial Registry, ChiCTR1800015959).

Preoperative Cervical Lymph Node Metastasis Prediction in Papillary Thyroid Carcinoma: A Noninvasive Clinical Multimodal Radiomics (CMR) Nomogram Analysis.

This study aimed to evaluate the feasibility of applying a clinical multimodal radiomics nomogram based on ultrasonography (US) and multiparametric magnetic resonance imaging (MRI) for the prediction of cervical lymph node metastasis (LNM) in papillary thyroid carcinoma (PTC) preoperatively. We performed retrospective evaluations of 133 patients with pathologically confirmed PTC, who were assigned to the training cohort and validation cohort (7 : 3), and extracted radiomics features from the preoperative US, T2-weighted (T2WI),diffusion-weighted (DWI), and contrast-enhanced T1-weighted (CE-T1WI) images. Optimal subsets were selected using minimum redundancy, maximum relevance, and recursive feature elimination in the support vector machine (SVM). For LNM prediction, the radiomics model was constructed by SVM, and Multi-Omics Graph cOnvolutional NETworks (MOGONET) was used for the effective classification of multiradiomics data. Multivariable logistic regression incorporating multiradiomics signatures and clinical risk factors was used to generate a nomogram, whose performance and clinical utility were assessed. Results showed that the nine most predictive features were separately selected from US, T2WI, DWI, and CE-T1WI images, and 18 features were selected in the combined model. The combined radiomics model showed better performance than models based on US, T2WI, DWI, and CE-T1WI. In a comparison of the combined radiomics and MOGONET model, receiver operating curve analysis showed that the area under the curve (AUC) value (95% CI) was 0.84 (0.76-0.93) and 0.84 (0.71-0.96) for the MOGONET model in the training and validation cohorts, respectively. The corresponding values (95% CI) for the combined radiomics model were 0.82 (0.74-0.90) and 0.77 (0.61-0.94), respectively. The MOGONET model had better performance and better prediction specificity compared with the combined radiomics model. The nomogram including the MOGONET signature showed a better predictive value (AUC: 0.81 vs. 0.88) in the training and validation (AUC: 0.74vs. 0.87) cohorts, as compared with the clinical model. Calibration curves showed good agreement in both cohorts. The applicability of the clinical multimodal radiomics (CMR) nomogram in clinical settings was validated by decision curve analysis. In patients with PTC, the CMR nomogram could improve the prediction of cervical LNM preoperatively and may be helpful in clinical decision-making.

A case of severe leptospirosis with Jarisch-Herxheimer reaction presenting as respiratory failure.

Background: Leptospirosis is a widespread zoonotic disease caused by pathogenic Leptospira spp. The treatment of penicillin or tetracycline can cause a Jarisch-Herxheimer reaction (JHR), which can lead to acute respiratory distress syndrome (ARDS) and multi-organ failure in severe cases. The overall course of evolution and imaging features of a JHR exacerbation of leptospirosis have rarely been reported. Case presentation: We present a case of leptospirosis complicated by pulmonary alveolar hemorrhage and a Jarisch-Herxheimer reaction (JHR) that required respiratory and vasopressor support. This case demonstrates a well-defined course of evolution of JHR and the imaging features. Conclusions: Leptospirosis is easily misdiagnosed in some sporadic areas, and JHR complicates its management. Early diagnosis and appropriate treatment can reduce the mortality of severe leptospirosis with JHR.

MRI-Based Texture Analysis for Preoperative Prediction of BRAF V600E Mutation in Papillary Thyroid Carcinoma.

Purpose: BRAF V600E mutation can compensate for the low detection rate by fine-needle aspiration (FNA) and is related to aggressiveness and lymph node metastasis. This study aimed to investigate the relationship between texture analysis features based on magnetic resonance imaging (MRI) and mutations. Methods: Retrospective analysis was performed on patients with postoperative pathology confirmed papillary thyroid carcinoma (PTC) from 2017 to 2021. One thousand one hundred and thirty-two texture features were extracted from T2-weighted imaging (T2WI) and contrast-enhanced T1-weighted imaging (CE-T1WI) separately by outlining the tumor volume of interest (VOI). Univariate, minimum redundancy maximum relevance (mRMR), and multivariate analyses were used for feature selection to construct 3 models (T2WI, CE-T1WI, and combined model) to predict mutation. The reproducibility between observers was evaluated by intraclass correlation coefficient (ICC). Receiver operating characteristic (ROC) analysis was used to assess the performance of models. The diagnostic performance of the optimal cut-off value of models were calculated and validated by 10-fold cross-validation. Results: A total of 80 PTCs (22 BRAF V600E wild-type and 58 BRAF V600E mutant) were included in our study. Good interobserver agreement was found on texture features we selected (all ICCs >0.75). The area under the ROC curves (AUCs) for the T2WI model, CE-T1WI model, and combined model were 0.83 (95% CI: 0.75-0.91), 0.83 (95% CI: 0.73-0.90), and 0.88 (95% CI: 0.81-0.94), respectively. The accuracy, sensitivity, specificity, PPV, and NPV were 0.776, 0.679, 0.905, 0.905, and 0.679 for the T2WI model at a cut-off value of 0.674; 0.755, 0.750, 0.762, 0.808, and 0.696 for the CE-T1WI model at a cut-off value of 0.573; 0.816, 0.893, 0.714, 0.806, and 0.833 for the combined model at a cut-off value of 0.420. Conclusion: MRI-based texture analysis could be a potential method for predicting BRAF V600E mutation in PTC preoperatively.

Positive Association of TEAD1 With Schizophrenia in a Northeast Chinese Han Population.

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.

[Rauwolfia extract inhibits the proliferation of prostate cells in rats with benign prostatic hyperplasia].

OBJECTIVE: To investigate the effects of different concentrations of Rauwolfia extract (RE) on the proliferation of prostate cells in the rat model of benign prostatic hyperplasia (BPH). METHODS: We randomly divided 48 male SD rats into six groups of an equal number, BPH model control, finasteride, low-concentration RE, medium-concentration RE, high-concentration RE and normal control, and established a BPH model in the former five groups by subcutaneous injection of testosterone propionate following castration. We treated the rats of the finasteride and RE groups intragastrically with finasteride solution at 5 mg/kg and RE at 5, 10 and 20 mg/kg respectively, and those of the model control and normal control groups with an equal dose of normal saline, all once a day for 28 consecutive days. Then, we killed all the animals, collected their prostate tissue, obtained the wet weight and volume of the prostate, the prostate index and the contents of serum T and dihydrotestosterone (DHT), observed the morphological changes of the prostate tissue by HE staining, counted the glands in the prostate tissue, measured the intraglandular area, and determined the expressions of PCNA and α-SMA by immunohistochemistry. RESULTS: Compared with the rats of the normal control group, the BPH model controls showed significantly increased wet weight (ï¼»0.923 ± 0.15ï¼½ vs ï¼»1.455 ± 0.52ï¼½ g, P < 0.05), volume (ï¼»1.035 ± 0.29ï¼½ vs ï¼»1.687 ± 0.31ï¼½ ml, P < 0.05) and index of the prostate (ï¼»0.23 ± 0.04ï¼½% vs ï¼»0.37 ± 0.15ï¼½%, P < 0.05), dilation, hyperemia and edema of the prostatic stroma and vessels, and proliferation rate of the prostatic cells, but remarkably decreased number of glands (ï¼»20.35 ± 3.83ï¼½ vs ï¼»12.56 ± 2.58ï¼½, P < 0.05), epithelial thickness (ï¼»39.76 ± 5.20ï¼½ vs ï¼»19.52 ± 1.52ï¼½ µm, P < 0.05) and intraglandular area (ï¼»12.3 ± 1.21ï¼½ vs ï¼»5.96 ± 0.34ï¼½ ×103µm2, P < 0.05). In comparison with the BPH model controls, the animals treated with RE, especially in the high-concentration RE group, exhibited marked decreases in the weight (ï¼»1.455 ± 0.52ï¼½ vs ï¼»0.862 ± 0.31ï¼½ g, P < 0.05), volume ( ï¼»1.687 ± 0.31ï¼½ vs ï¼»0.952 ± 0.28ï¼½ ml, P < 0.05) and index of the prostate (ï¼»0.37 ± 0.15ï¼½% vs ï¼»0.22 ± 0.07ï¼½%, P < 0.05), dramatic improvement in the number of glands (ï¼»12.56 ± 2.58ï¼½ vs ï¼»18.36 ± 1.25ï¼½, P < 0.05), epithelial thickness (ï¼»39.76 ± 5.20ï¼½ vs ï¼»19.04 ± 3.89ï¼½ µm, P < 0.05) and intraglandular area (ï¼»5.96 ± 0.34ï¼½ vs ï¼»10.25 ± 0.98ï¼½ ×103µm2, P<0.05ï¼½, P < 0.05), remarkable down-regulation of the expressions of PCNA and α-SMA, and significant reduction of the contents of serum T (ï¼»19.147 ± 3.214ï¼½ vs ï¼»6.016 ± 1.978ï¼½ ng/ml, P < 0.05) and DHT (ï¼»9.052 ± 0.633ï¼½ vs ï¼»2.532 ± 0.386ï¼½ ng/ml, P < 0.05). CONCLUSION: Rauwolfia extract can inhibit the proliferation of prostate cells and relieve BPH symptoms in a concentration-dependent manner in rats with BPH.

Development and validation of a predictive model for peripherally inserted central catheter-related thrombosis in breast cancer patients based on artificial neural network: A prospective cohort study.

BACKGROUND: Peripherally inserted central catheters have been extensively applied in clinical practices. However, they are associated with an increased risk of thrombosis. To improve patient care, it is critical to timely identify patients at risk of developing peripherally inserted central catheter-related thrombosis. Artificial neural networks have been successfully used in many areas of clinical events prediction and affected clinical decisions and practice. OBJECTIVE: To develop and validate a novel clinical model based on artificial neural network for predicting peripherally inserted central catheter-related thrombosis in breast cancer patients who underwent chemotherapy and determine whether it may improve the prediction performance compared with the logistic regression model. DESIGN: A prospective cohort study. SETTING: A large general hospital in Fujian Province, China. PARTICIPANTS: One thousand eight hundred and forty-four breast cancer patients with peripherally inserted central catheters placement for chemotherapy were eligible for the study. METHODS: The dataset was divided into a training set (N = 1497) and an independent validation set (N = 347). The synthetic minority oversampling technique (SMOTE) was used to handle the effect of imbalance class. Both the artificial neural network and logistic regression models were then developed on the training set with and without SMOTE, respectively. The performance of each model was evaluated on the validation set using accuracy, sensitivity, specificity, and area under the receiver operating characteristic curve (AUC). RESULTS: Of the 1844 enrolled patients, 256 (13.9%) were diagnosed with peripherally inserted central catheter-related thrombosis. Predictive models were constructed in the training set and assessed in the validation set. Eight factors were selected as input variables to develop the artificial neural network model. Without SMOTE, the artificial neural network model (AUC = 0.725) outperformed the logistic regression model (AUC = 0.670, p = 0.039). SMOTE improved the performance of both two models based on AUC. With the SMOTE sampling, the artificial neural network model performed the best across all evaluated models, the AUC value remained statistically better than that of the logistic regression model (0.742 vs. 0.675, p = 0.004). CONCLUSION: Artificial neural network model can effectively predict peripherally inserted central catheter-related thrombosis in breast cancer patients receiving chemotherapy. Identifying high-risk groups with peripherally inserted central catheter-related thrombosis can provide close monitoring and an opportune time for intervention.

Oral Bacteria Dysbiosis in Patients with Linezolid-Induced Black Hairy Tongue: A Case Series.

Linezolid-induced black hairy tongue is a self-limiting benign disease that is rare. Here, we report three patients who developed black hairy tongue after linezolid treatment. The severe dysbiosis of oral bacterial communities was observed in all these patients. Proteobacteria was the most prevalent phylum (over 90%) at the black tongue stage. Furthermore, the dramatic oral bacterial alteration took a long time to reverse after the BHT resolved.

Aortic Involvement in Disseminated Tuberculosis - Challenges Beyond the Diagnosis.

Tuberculous aortitis (TA) is a rare disease with a high mortality rate. Aortic pseudoaneurysm is the most common vascular pattern of TA, and isolated arterial wall thickening and arterial stenosis can also be seen in TA. We report two cases of disseminated tuberculosis involving the aorta with clinical improvement after treatment. One patient who had an aortic ulcer and intermural hematoma received anti-tuberculosis along with steroids therapy. The other patient, who developed a tubercular abdominal aortic pseudoaneurysm during anti-tuberculosis therapy, successfully received endovascular stent implantation. Clinicians should be aware that TA should be considered in patients with aortitis and active tuberculosis.

Antifungal Drugs and Drug-Induced Liver Injury: A Real-World Study Leveraging the FDA Adverse Event Reporting System Database.

Aims: We aimed to estimate the risk of drug-induced liver injury (DILI) from various antifungal treatments with azoles and echinocandins causing in real-world practice. Methods: We performed disproportionality and Bayesian analyses based on data from the first quarter in 2004 to the third quarter in 2021 in the Food and Drug Administration Adverse Event Reporting System to characterize the signal differences of antifungal drugs-related DILI. We also compared the onset time and mortality differences of different antifungal agents. Results: A total of 2943 antifungal drugs-related DILI were identified. Affected patients tended to be aged >45 years (51.38%), with more males than females (49.03% vs. 38.09%). Antifungal drug-induced liver injury is most commonly reported with voriconazole (32.45%), fluconazole (19.37%), and itraconazole (14.51%). Almost all antifungal drugs were shown to be associated with DILI under disproportionality and Bayesian analyses. The intraclass analysis of correlation between different antifungal agents and DILI showed the following ranking: caspofungin (ROR = 6.12; 95%CI: 5.36-6.98) > anidulafungin (5.15; 3.69-7.18) > itraconazole (5.06; 4.58-5.60) > voriconazole (4.58; 4.29-4.90) > micafungin (4.53; 3.89-5.27) > posaconazole (3.99; 3.47-4.59) > fluconazole (3.19; 2.93-3.47) > ketoconazole (2.28; 1.96-2.64). The onset time of DILI was significantly different among different antifungal drugs (p < 0.0001), and anidulafungin result in the highest mortality rate (50.00%), while ketoconazole has the lowest mortality rate (9.60%). Conclusion: Based on the Food and Drug Administration Adverse Event Reporting System database, antifungal drugs are significantly associated with DILI, and itraconazole and voriconazole had the greatest risk of liver injury. Due to indication bias, more clinical studies are needed to confirm the safety of echinocandins.