Development of deep learning segmentation models for coronary X-ray angiography: Quality assessment by a new global segmentation score and comparison with human performance

Introduction and objectivesAlthough automatic artificial intelligence (AI) coronary angiography (CAG) segmentation is arguably the first step toward future clinical application, it is underexplored. We aimed to (1) develop AI models for CAG segmentation and (2) assess the results using similarity scores and a set of criteria defined by expert physicians.MethodsPatients undergoing CAG were randomly selected in a retrospective study at a single center. Per incidence, an ideal frame was segmented, forming a baseline human dataset (BH), used for training a baseline AI model (BAI). Enhanced human segmentation (EH) was created by combining the best of both. An enhanced AI model (EAI) was trained using the EH. Results were assessed by experts using 11 weighted criteria, combined into a Global Segmentation Score (GSS: 0–100 points). Generalized Dice Score (GDS) and Dice Similarity Coefficient (DSC) were also used for AI models assessment.Results1664 processed images were generated. GSS for BH, EH, BAI and EAI were 96.9+/-5.7; 98.9+/-3.1; 86.1+/-10.1 and 90+/-7.6, respectively (95% confidence interval, p<0.001 for both paired and global differences). The GDS for the BAI and EAI was 0.9234±0.0361 and 0.9348±0.0284, respectively. The DSC for the coronary tree was 0.8904±0.0464 and 0.9134±0.0410 for the BAI and EAI, respectively. The EAI outperformed the BAI in all coronary segmentation tasks, but performed less well in some catheter segmentation tasks.ConclusionsWe successfully developed AI models capable of CAG segmentation, with good performance as assessed by all scores.     

Nutraceuticals use and type 2 diabetes mellitus

Type 2 diabetes mellitus (T2DM) is a complicated metabolic disease and has become one of the significant medical problems worldwide. Researchers aim to provide fine-tuned treatment for T2DM with minimal exposed side effects. Nutraceuticals are compounds or materials and emerging evidence suggests that the use of nutraceuticals has recently been recognized as a promising option for the prevention and management of T2DM, such as probiotics and prebiotics, Vitamin D, n-3 long-chain polyunsaturated fatty acids, and Plant-derived nutraceuticals. This review attempts to show the most popular nutraceuticals and review their effects and possible mechanisms in the prevention or glycemic control of T2DM.     

Improving triage accuracy through a modified nurse-administered emergency department assessment of chest pain score on patients with chest pain at triage (EDACT): A prospective observational study

BackgroundChest pain triage in our emergency department (ED) prioritize patients for consultation based on unstructured nursing gestalt. The Emergency Department Assessment of Chest Pain Score (EDACS) identifies patients at low-risk for major adverse cardiac events and may provide standardization for chest pain triage in ED.MethodsWe conducted a prospective observational study, including adult patients with chief complaint of chest pain who were self-conveyed. We aimed to evaluate the overall diagnostic performance of a modified EDACS in triaging these patients.ResultsData was collected over 6 weeks, with 284 patients included in the final analysis. Nursing gestalt had higher sensitivity (97.6%, 95% confidence interval [CI] 87.4% to 99.9% versus EDACS 45.2%, 95% CI 29.8% to 61.3%), while modified EDACS provided higher specificity (76.4%, 95% CI 70.6% to 81.6%, versus nursing gestalt 29.8%, 95% CI 24.1% to 35.9%). EDACS with electrocardiogram had significantly better area under the receiver operating characteristic curve statistic (0.712; 95% CI 0.631 to 0.793) than EDACS alone (0.608; 95% CI 0.528 to 0.689) and nursing gestalt (0.637; 95% CI 0.600 to 0.674) (p = 0.0324).ConclusionsFurther studies should explore if modified EDACS, together with nursing gestalt, can improve triage accuracy for ED patients with chest pain.     

Pilot study to determine effect of an altruism intervention focusing on herd immunity to enhance influenza vaccination rates

ObjectiveA prospective, single-arm clinical trial was conducted to evaluate an altruism-tailored educational intervention to improve parental attitudes and vaccine uptake in vaccine-hesitant parents.MethodsVaccine-hesitant parents at two primary care sites, spanning two influenza seasons from 2020 to 2021 were provided an intervention (spoken and written communication) which highlighted altruistic benefits of accepting the seasonal influenza vaccine to optimize herd immunity to help protect pediatric cancer patients. Eligible parents included those with children eligible for the seasonal influenza vaccine, those who were proficient in English, and those with scores on the adjusted Vaccine Hesitancy Scale (aVHS) suggesting vaccine hesitancy (score ≥ 3). Enrollees completed a demographic questionnaire, underwent the educational intervention, and repeated the aVHS. Vaccination status at that visit was assessed. The primary outcome was change in aVHS scores obtained pre- and post-intervention. Influenza vaccine acceptance, along with demographic information, were also analyzed.ResultsWe enrolled 510 parents of influenza vaccine eligible children and identified 73 vaccine-hesitant parents. There was an overall trend toward lower aVHS score, with a mean change in hesitancy score of ?0.4 (P < 0.01). 43/73 (58.9 %) of the cohort experienced a positive effect toward a lower aVHS score, and 27/73 (37.0 %) of vaccine hesitant subjects became non-hesitant on the aVHS. Several demographic characteristics were associated with vaccine hesitancy in the screening population: educational level lower than bachelor’s degree (p = 0.03), household income < 400 % of federal poverty level (p < 0.01), unmarried (p = 0.02), and identifying with a political affiliation other than Democrat (p < 0.01). However, no demographic characteristics were significantly associated with an individual becoming non-hesitant. Our altruism-tailored communication approach carried the largest positive impact on the altruism-specific question on the aVHS, decreasing the post-intervention response value by nearly 25 % (P < 0.01).ConclusionsOur altruism-tailored communication approach significantly improved attitudes regarding childhood influenza vaccine among vaccine-hesitant parents.ClinicalTrials.gov Identifier: NCT04568590.