A Prospective Multicenter Clinical Observational Study on Vancomycin Efficiency and Safety With Therapeutic Drug Monitoring.

Background: Vancomycin is a first-line antibiotic used for the treatment of severe gram-positive bacterial infections. Clinical guidelines recommend that the vancomycin trough concentration be 10-15 mg/L for regular infections and 15-20 mg/L for severe infections. We investigated whether increasing the vancomycin concentration would result in better clinical outcomes with sustainable adverse effects (AEs) in the Chinese population. Methods: A prospective, open, multicenter clinical observational study was performed in patients with gram-positive bacterial infections from 13 teaching hospitals. Patients received vancomycin therapeutic drug monitoring. Clinical, microbiological, and laboratory data were collected. Results: In total, 510 patients were enrolled, and 470 were evaluable, of whom 370 were adults and 100 were children; 35.53% had methicillin-resistant Staphylococcus aureus infections (vancomycin 50% minimum inhibitory concentration [MIC50] = 1, 90% minimum inhibitory concentration [MIC90] = 1), and 23.19% had Enterococcus species infections (vancomycin MIC50 = 1, MIC90 = 2). The average trough concentration was 10.54 ± 8.08 mg/L in adults and 6.74 ± 8.93 mg/L in children. The infection was eradicated in 86.22% of adults and 96% of children. Thirty-six vancomycin-related nephrotoxicity cases were reported in the enrolled population. No severe AEs or deaths were related to vancomycin therapy. Logistic regression analysis showed that trough concentration had no relationship with clinical outcomes (adults P = .75, children P = .68) but was correlated with adult nephrotoxicity (P < .0001). Vancomycin trough concentration had an applicable cut point at 13 mg/L. Conclusions: Our study shows that vancomycin trough concentration has no statistical correlation with clinical outcomes, and is an indicator of nephrotoxicity in the observed population. We found no evidence that increasing vancomycin trough concentration to 15-20 mg/L can benefit Chinese patients with complicated infections. Clinical Trials Registration: ChiCTR-OPC-16007920.

Model-based Evaluation of the Clinical and Microbiological Efficacy of Vancomycin: A Prospective Study of Chinese Adult In-house Patients.

Background: Our aims in this prospective study were to evaluate the correlations between pharmacokinetic/pharmacodynamic (PK/PD) indices and the clinical/microbiological efficacy of vancomycin and to identify an appropriate PK/PD target in the Chinese population to guide vancomycin treatment in the clinic. Methods: Adult patients from 11 hospitals in China with gram-positive infections who received vancomycin therapy for ≥5 days and who were under therapeutic drug monitoring (TDM) were enrolled in this study. A 1-compartment population PK model was established and validated. The correlations between PK/PD indices (Cmin, Cmax, 0-24 hour area under the curve (AUC0-24), and AUC0-24/minimum inhibitory concentration (MIC) and clinical outcomes (clinical efficacy and bacterial eradication) were evaluated. Results: In total, 402 adult Chinese patients were enrolled. Among them, 380 patients were evaluable for PK analysis, and 334 were evaluable for PK/PD analysis. In the final population PK model, creatinine clearance (CLCR) was the significant covariate on CL (typical value, 3.87 L/hour; between-subject variability (BSV), 12.5%), and age was the significant covariate on volume of distribution (V) (typical value, 45.1 L; BSV, 24.8%). The univariate analysis showed that Cmax, AUC0-24, and AUC0-24/MIC were significantly different or marginally significantly different (P values were 0.009, 0.0385, and 0.0509, respectively) between microbiological outcome groups with coagulase-negative Staphylococcus infections. However, there were no significant differences (P > .05) in the above PK parameters by multivariate logistic regression analysis, indicating there was no independently associated factor. Conclusions: No significant correlations were identified between PK/PD indices and the clinical or microbiological efficacy of vancomycin in Chinese patients. The necessity of vancomycin TDM based on trough concentration and the current treatment target of AUC0-24/MIC ≥400 need to be further evaluated and confirmed in additional prospective studies.

The Use of Generative Adversarial Network and Graph Convolution Network for Neuroimaging-Based Diagnostic Classification.

Functional connectivity (FC) obtained from resting-state functional magnetic resonance imaging has been integrated with machine learning algorithms to deliver consistent and reliable brain disease classification outcomes. However, in classical learning procedures, custom-built specialized feature selection techniques are typically used to filter out uninformative features from FC patterns to generalize efficiently on the datasets. The ability of convolutional neural networks (CNN) and other deep learning models to extract informative features from data with grid structure (such as images) has led to the surge in popularity of these techniques. However, the designs of many existing CNN models still fail to exploit the relationships between entities of graph-structure data (such as networks). Therefore, graph convolution network (GCN) has been suggested as a means for uncovering the intricate structure of brain network data, which has the potential to substantially improve classification accuracy. Furthermore, overfitting in classifiers can be largely attributed to the limited number of available training samples. Recently, the generative adversarial network (GAN) has been widely used in the medical field for its generative aspect that can generate synthesis images to cope with the problems of data scarcity and patient privacy. In our previous work, GCN and GAN have been designed to investigate FC patterns to perform diagnosis tasks, and their effectiveness has been tested on the ABIDE-I dataset. In this paper, the models will be further applied to FC data derived from more public datasets (ADHD, ABIDE-II, and ADNI) and our in-house dataset (PTSD) to justify their generalization on all types of data. The results of a number of experiments show the powerful characteristic of GAN to mimic FC data to achieve high performance in disease prediction. When employing GAN for data augmentation, the diagnostic accuracy across ADHD-200, ABIDE-II, and ADNI datasets surpasses that of other machine learning models, including results achieved with BrainNetCNN. Specifically, in ADHD, the accuracy increased from 67.74% to 73.96% with GAN, in ABIDE-II from 70.36% to 77.40%, and in ADNI, reaching 52.84% and 88.56% for multiclass and binary classification, respectively. GCN also obtains decent results, with the best accuracy in ADHD datasets at 71.38% for multinomial and 75% for binary classification, respectively, and the second-best accuracy in the ABIDE-II dataset (72.28% and 75.16%, respectively). Both GAN and GCN achieved the highest accuracy for the PTSD dataset, reaching 97.76%. However, there are still some limitations that can be improved. Both methods have many opportunities for the prediction and diagnosis of diseases.

Clinical Features and Predictive Nomogram of Acute Kidney Injury in Aging Population Infected with SARS-CoV-2 Omicron Variant.

Background: Since little is known about the acute kidney injury (AKI) in aging population infected with SARS-CoV-2 Omicron variant, we investigated the incidence, clinical features, risk factors and mid-term outcomes of AKI in hospitalized geriatric patients with and without COVID-19 and established a prediction model for mortality. Methods: A real-time data from the Shanghai Ninth People's Hospital information system of inpatients with COVID-19 from 1 April 2022 to 30 June 2022 were extracted. Clinical spectrum, laboratory results, and clinical prognosis were included for the risk analyses. Moreover, Cox and Lasso regression analyses were applied to predict the 90-day death and a nomogram was established. Results: A total of 1607 SARS-CoV-2 infected patients were enrolled; hypertension was the most common comorbidity, followed by chronic cardiovascular disease, diabetes mellitus, and lung disease. Most of the participants were non-vaccinated and the mean age of patients was 82.6 years old (range, 60-103 years). The AKI incidence was higher in relatively older patients (16.29% vs 3.63% in patients older than 80 years and 60 to 80 years, respectively). Linear regression models identified some variables associated with the incidence of AKI, such as older age, clinical spectrum, D-dimer level, number of comorbidities, baseline eGFR, and antibiotic or corticosteroid treatment. In this cohort, 11 patients died in-hospital and 21 patients died at 90-day follow-up. The predictive nomogram of 90-day death achieved a good C-index of 0.823 by using 5 predictor variables: ICU admission, D-dimer, peak of serum creatinine, rate of serum creatinine decline and white blood cell count (WBC). Conclusion: Older age, clinical spectrum, D-dimer level, number of comorbidities, baseline eGFR, and antibiotic or corticosteroid treatment are clinical risk factors for the incidence of AKI in geriatric COVID-19 patients. The prediction nomogram achieved an excellent performance at the prediction of 90-day mortality.

Comparative efficacy of vancomycin in treating ST5 and ST764 methicillin-resistant Staphylococcus aureus infections in adult patients.

IMPORTANCE: Methicillin-resistant Staphylococcus aureus (MRSA) is a bacterium that is resistant to multiple drugs and can cause serious infections. In recent years, one of the most widespread strains of MRSA worldwide has been the clonal complex 5 (CC5) type. Sequence type 5 (ST5) and ST764 are two prevalent CC5 strains. Although ST5 and ST764 are genotypically identical, ST764 is classified as a hybrid variant of ST5 with characteristics of community-associated MRSA (CA-MRSA). In contrast to ST5, ST764 lacks the tst and sec genes but carries the staphylococcal enterotoxin B (seb) gene. Vancomycin is commonly used as the first-line treatment for MRSA infections. However, it is currently unclear whether the genetic differences between the ST5 and ST764 strains have any impact on the efficacy of vancomycin in treating MRSA infections. We conducted a prospective observational study comparing the efficacy of vancomycin against ST5-MRSA and ST764-MRSA in five hospitals in China. There were significant differences in bacteriological efficacy between the two groups, with virulence genes, such as the tst gene, being a risk factor for bacterial persistence (adjusted odds ratio, 4.509; 95% confidence interval, 1.216 to 16.724; P = 0.024). In the future, it may be necessary to consider personalized vancomycin treatment strategies based on the genetic characteristics of MRSA isolates.

Identifying circRNA-miRNA interaction based on multi-biological interaction fusion.

CircRNA is a new type of non-coding RNA with a closed loop structure. More and more biological experiments show that circRNA plays important roles in many diseases by regulating the target genes of miRNA. Therefore, correct identification of the potential interaction between circRNA and miRNA not only helps to understand the mechanism of the disease, but also contributes to the diagnosis, treatment, and prognosis of the disease. In this study, we propose a model (IIMCCMA) by using network embedding and matrix completion to predict the potential interaction of circRNA-miRNA. Firstly, the corresponding adjacency matrix is constructed based on the experimentally verified circRNA-miRNA interaction, circRNA-cancer interaction, and miRNA-cancer interaction. Then, the Gaussian kernel function and the cosine function are used to calculate the circRNA Gaussian interaction profile kernel similarity, circRNA functional similarity, miRNA Gaussian interaction profile kernel similarity, and miRNA functional similarity. In order to reduce the influence of noise and redundant information in known interactions, this model uses network embedding to extract the potential feature vectors of circRNA and miRNA, respectively. Finally, an improved inductive matrix completion algorithm based on the feature vectors of circRNA and miRNA is used to identify potential interactions between circRNAs and miRNAs. The 10-fold cross-validation experiment is utilized to prove the predictive ability of the IIMCCMA. The experimental results show that the AUC value and AUPR value of the IIMCCMA model are higher than other state-of-the-art algorithms. In addition, case studies show that the IIMCCMA model can correctly identify the potential interactions between circRNAs and miRNAs.

Sequence Type 5 (ST5) as a Possible Predictor of Bacterial Persistence in Adult Patients with Methicillin-Resistant Staphylococcus aureus Pneumonia Treated with Vancomycin.

Vancomycin remains the mainstay of treatment for methicillin-resistant Staphylococcus aureus (MRSA) pneumonia. This study assessed risk factors for vancomycin failure in 63 patients with MRSA pneumonia through detailed clinical, microbiological, pharmacokinetic/pharmacodynamic, and genetic analyses of prospective multicenter studies conducted from February 2012 to July 2018. Therapeutic drug monitoring was performed during vancomycin treatment, and the 24-h area under the curve (AUC0-24) was calculated. All baseline strains were collected for MIC determination, heterogeneous vancomycin-intermediate S. aureus (hVISA) screening, and biofilm determination. Whole-genome sequencing was performed on the isolates to analyze their molecular typing and virulence and adhesion genes. Clinical signs and symptoms improved in 44 patients (44/63, 69.8%), with vancomycin daily dose (P = 0.045), peak concentration (P = 0.020), and sdrC (P = 0.047) being significant factors. Isolates were eradicated in 51 patients (51/63, 81.0%), with vancomycin daily dose (P = 0.009), cardiovascular disease (P = 0.043), sequence type 5 (ST5; P = 0.017), tst (P = 0.050), and sec gene (P = 0.044) associated with bacteriological failure. Although the AUC0-24/MIC was higher in the groups with bacterial eradication, the difference was not statistically significant (P = 0.108). Multivariate analysis showed that no variables were associated with clinical efficacy; ST5 was a risk factor for bacterial persistence (adjusted odds ratio, 4.449; 95% confidence interval, 1.103 to 17.943; P = 0.036). ST5 strains had higher frequencies of the hVISA phenotype, biofilm expression, and presence of some adhesion and virulence genes such as fnbB, tst, and sec than non-ST5 strains. Our study suggests that ST5 is a possible predictor of bacterial persistence in MRSA pneumonia treated with vancomycin. IMPORTANCE Few studies have simultaneously examined the influence of clinical characteristics of patients with pneumonia, the vancomycin pharmacokinetic/pharmacodynamic (PK/PD) index, and the phenotypic and genetic characteristics of methicillin-resistant Staphylococcus aureus (MRSA) strains. We assessed risk factors for vancomycin failure in patients with MRSA pneumonia by analyzing these influences in a prospective multicenter study. Sequence type 5 (ST5) was a possible predictor of bacterial persistence in adult patients with MRSA pneumonia (adjusted odds ratio, 4.449). We found that this may be related to ST5 strains having higher levels of vancomycin heterogeneous resistance, biofilms, and the presence of adhesion and virulence genes such as fnbB, tst, and sec.

The Meridian Tropism and Classification of Red Yeast Rice Investigated by Monitoring Dermal Electrical Potential.

Red yeast rice is a traditional Chinese medicine and food that has been purported to color food, ferment, and lower cholesterol. In order to study the antioxidative capacity of red yeast rice and the effects on electrical potential difference (EPD) of 12 acupuncture meridians, the pH value, oxidation reduction potential (ORP), ABTS, FRAP, T-SOD, and particle size distribution of red yeast rice were analyzed. 20 volunteers were recruited and randomly divided into two groups, the red yeast rice group (10 g red yeast rice and 40 g water) and control CK group (50 g water). The left 12 acupuncture meridians' EPD was real-time monitored. Samples were taken at the 10th minutes. The whole procedure continued for 70 minutes. It is shown that the pH value of the red yeast rice was 4.22, the ORP was 359.63 mV, the ABTS was 0.48 mmol Trolox, the FRAP was 0.08 mmol FeSO4, the T-SOD was 4.71 U, and the average particle size was 108 nm (7.1%) and 398.1 nm (92.9%). The results of 12 acupuncture meridians' EPD showed that the red yeast rice can significantly affect the EPD of stomach, heart, small intestine, and liver meridians.

Noise-free microbial colony counting method based on hyperspectral features of agar plates.

A noise-free bacterial colony counting method identifying noise (i.e., sausage, bacon, and millet fragments) with similar colors or shapes to those of colonies was developed for food quality assessment. First, spectral features corresponding to colony cluster regions and background regions (agar medium and food fragments) were extracted after collection of hyperspectral images. A cluster-segmenting calibration model that could identify colony clusters and background regions was developed. Second, spectral features of colony centers and borders were extracted, and a colony-separating calibration model that could separate single colonies from clusters (multiple colonies contacting each other) was developed. Third, each pixel of an agar plate hyperspectral image was identified using established calibration models, enabling the colonies on the agar plate to be counted successfully (R2 = 0.9998). The results demonstrated that the proposed method could identify the noises caused by food fragments with similar colors or shapes to those of colonies.

[Effects of uremia serum on monolayer permeability and F-actin in rat pulmonary microvascular endothelial cells].

OBJECTIVE: To observe the effects of uremia serum on monolayer permeability and F-actin in cultured rat pulmonary microvascular endothelial cell (RPMVEC) and to investigate the mechanism of injury of RPMVEC induced by uremia serum. METHODS: RPMVEC was isolated and cultured from Wistar rat in vitro. The effects of serum of uremia patients on monolayer permeability of RPMVEC were observed with microfilter, and F-actin expression was evaluated by flow cytometry. RESULTS: Serum of uremia patients induced the increased permeability of RPMVEC monolayer for 6 h and 12 h (P < 0.01), depolymerization of F-actin for 6 h and 12 h (P < 0.01), the increased permeability of RPMVEC monolayer induced by serum of uremia patients is significantly correlated with the depolymerization of F-actin (r = -0.927, P < 0.01). CONCLUSION: Serum of uremia patients may induce the elevation of permeability monolayer and the depolymerization of F-actin in RPMVEC. The elevation of permeability monolayer induced by serum of uremia patients in RPMVEC is significantly correlated with the depolymerization of F-actin.

[Effect of different doses of atorvastatin on adhesion molecules of the patients undergoing percutaneous coronary intervention].

OBJECTIVE: To determine the effect of different doses of atorvastatin on the serum soluble intercellular adhesion molecules-1 (sICAM-1) in patients undergoing percutaneous coronary intervention (PCI). METHODS: The study consisted of 38 patients with unstable angina and 10 patients with old infarction who underwent elected PCI for stenotic lesions of the coronary artery. Patients were randomly assigned to either aggressive group or conventional one. After PCI the patients took atorvastatin 20 mg per day or 10 mg per day. Blood lipid profile was examined before, and 3 months after the PCI. SICAM-1 was examined before the PCI, 48 hours and 3 months after the PCI. RESULTS: The total cholesterol and LDL-Cholesterol 3 months after the PCI in the 2 groups were lower than those before the PCI (P<0.01). The aggressive group showed greater reduction in concentrations of TC and LDL-C than the conventional group (P<0.01). The changes in concentrations of HDL-C between pre-PCI and 3 months after the PCI and TG were not obvious (P>0.05). sICAM-1 in the 2 groups 48 hours after the PCI significantly higher than that before the PCI (P<0.01). But sICAM-1 in the 2 groups 3 months after the PCI significantly lower than that before the PCI (P<0.01 or P<0.05). The aggressive group showed greater reduction than the conventional group (P<0.01). TC and LDL-C were positively correlated with sICAM-1(r=0.2413, r=0.2691, all P<0.05). CONCLUSION: Atorvastatin 20 mg per day reduces TC, LDL-C, and sICAM-1 to a greater extent than atorvastatin 10 mg per day. The effect on sICAM-1 is partly related to reduce lipid profile.