Comparison of machine-learning models for the prediction of 1-year adverse outcomes of patients undergoing primary percutaneous coronary intervention for acute ST-elevation myocardial infarction.

BACKGROUND: Acute ST-elevation myocardial infarction (STEMI) is a leading cause of mortality and morbidity worldwide, and primary percutaneous coronary intervention (PCI) is the preferred treatment option. HYPOTHESIS: Machine learning (ML) models have the potential to predict adverse clinical outcomes in STEMI patients treated with primary PCI. However, the comparative performance of different ML models for this purpose is unclear. METHODS: This study used a retrospective registry-based design to recruit consecutive hospitalized patients diagnosed with acute STEMI and treated with primary PCI from 2011 to 2019, at Tehran Heart Center, Tehran, Iran. Four ML models, namely Gradient Boosting Machine (GBM), Distributed Random Forest (DRF), Logistic Regression (LR), and Deep Learning (DL), were used to predict major adverse cardiovascular events (MACE) during 1-year follow-up. RESULTS: A total of 4514 patients (3498 men and 1016 women) were enrolled, with MACE occurring in 610 (13.5%) subjects during follow-up. The mean age of the population was 62.1 years, and the MACE group was significantly older than the non-MACE group (66.2 vs. 61.5 years, p < .001). The learning process utilized 70% (n = 3160) of the total population, and the remaining 30% (n = 1354) served as the testing data set. DRF and GBM models demonstrated the best performance in predicting MACE, with an area under the curve of 0.92 and 0.91, respectively. CONCLUSION: ML-based models, such as DRF and GBM, can effectively identify high-risk STEMI patients for adverse events during follow-up. These models can be useful for personalized treatment strategies, ultimately improving clinical outcomes and reducing the burden of disease.

An updated review on oral protein-based antigen vaccines efficiency and delivery approaches: a special attention to infectious diseases.

Various infectious agents affect human health via the oral entrance. The majority of pathogens lack approved vaccines. Oral vaccination is a convenient, safe and cost-effective approach with the potential of provoking mucosal and systemic immunity and maintaining individual satisfaction. However, vaccines should overcome the intricate environment of the gastrointestinal tract (GIT). Oral protein-based antigen vaccines (OPAVs) are easier to administer than injectable vaccines and do not require trained healthcare professionals. Additionally, the risk of needle-related injuries, pain, and discomfort is eliminated. However, OPAVs stability at environmental and GIT conditions should be considered to enhance their stability and facilitate their transport and storage. These vaccines elicit the local immunity, protecting GIT, genital tract and respiratory epithelial surfaces, where numerous pathogens penetrate the body. OPAVs can also be manipulated (such as using specific incorporated ligand and receptors) to elicit targeted immune response. However, low bioavailability of OPAVs necessitates development of proper protein carriers and formulations to enhance their stability and efficacy. There are several strategies to improve their efficacy or protective effects, such as incorporation of adjuvants, enzyme inhibitors, mucoadhesive or penetrating devices and permeation enhancers. Hence, efficient delivery of OPAVs into GIT require proper delivery systems mainly including smart target systems, probiotics, muco-adhesive carriers, lipid- and plant-based delivery systems and nano- and microparticles.

Clinical evaluation of chitosan/polycaprolactone nanofibrous scaffolds releasing tetracycline hydrochloride in periodontal pockets of patients with chronic periodontitis.

Background: The role of bacteria in the initiation and progression of periodontitis has led to a great interest in using antibiotics to suppress pathogenic microbiota. Considering the drawbacks of systemic antibiotics' application, local delivery systems directly in the periodontal pocket can be helpful. Therefore, the effect of an efficient tetracycline-loaded delivery system was investigated on the clinical parameters of periodontitis. Methods: In this clinical trial with a split-mouth design, 10 patients with periodontitis with pocket depths≥5 mm were included. After scaling and root planing (SRP) for all the patients, one side of the mouth was randomly considered as the control group, and on the other side, chitosan/polycaprolactone (PCL) nanofibrous films containing tetracycline (5%) were placed in pockets of 5 mm and deeper. Clinical measurements of pocket probing depth (PPD), clinical attachment loss (CAL), and bleeding on probing (BOP) indices were made at the beginning and after 8 weeks of intervention. PPD, CAL, and BOP parameters were compared between the control and test groups before and after the intervention with paired t tests using SPSS 24. The significance level of the tests was considered at P<0.05. Results: The mean PPD, CAL, and BOP in both the control (SRP) and test (LDDs) groups decreased after 8 weeks. A significant difference was detected in reducing PPD, BOP, and CAL after 8 weeks in 5-mm pockets, and the mean values were higher in the test group than in the control (P<0.05). Conclusion: The local drug delivery system using chitosan/PCL nanofibrous films containing tetracycline can effectively control periodontal diseases by reducing pocket depth and inflammation and improving CAL without offering side effects, although further evaluations are needed.

Overexpression Effects of miR-424 and BMP2 on the Osteogenesis of Wharton's Jelly-Derived Stem Cells.

Recently, the translational application of noncoding RNAs is accelerated dramatically. In this regard, discovering therapeutic roles of microRNAs by developing synthetic RNA and vector-based RNA is attracting attention. Here, we studied the effect of BMP2 and miR-424 on the osteogenesis of Wharton's jelly-derived stem cells (WJSCs). For this purpose, human BMP2 and miR-424 DNA codes were cloned in the third generation of lentiviral vectors and then used for HEK-293T cell transfection. Lentiviral plasmids contained miR424, BMP-2, miR424-BMP2, green fluorescent protein (GFP) genes, and helper vectors. The recombinant lentiviral particles transduced the WJSCs, and the osteogenesis was evaluated by real-time PCR, Western blot, Alizarin Red staining, and alkaline phosphatase enzyme activity. According to the results, there was a significant increase in the expression of the BMP2 gene and secretion of Osteocalcin protein in the group of miR424-BMP2. Moreover, the amount of dye deposition in Alizarin Red staining and alkaline phosphatase activity was significantly higher in the mentioned group (p < 0.05). Thus, the current study results clarify the efficacy of gene therapy by miR424-BMP2 vectors for bone tissue engineering. These data could help guide the development of gene therapy-based protocols for bone tissue engineering.

Stigma of taking psychiatric medications among psychiatric outpatient veterans.

OBJECTIVE: Service members and veterans underutilize mental health services due to stigma. The study investigated stigma of taking psychiatric medications, and its relationship to internalized stigma of mental illness, gender, age, service era, duration of taking medications, and their perceived helpfulness. METHOD: Of the 200 veterans completing an anonymous questionnaire in an outpatient mental health waiting room, data are presented on the 159 who reported taking psychiatric medications. RESULTS: Medication stigma was related to internalized stigma and was common: over one half reported feeling uncomfortable disclosing or feeling judged, and about one fifth reported feeling embarrassed. Medication stigma was not related to gender, duration, or helpfulness. Younger age was associated with feeling judged, and more recent service era was associated with shame. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: Medication stigma among veterans is common and warrants further study. Discomfort disclosing and feeling judged might be particularly worthy targets of discussion in shared decisions about medication.