Yakima Valley Farm Workers Clinic oral health transformation project

The Yakima Valley Farm Workers Clinic (YVFWC) is one of the largest community health centers in the country with clinics throughout south-central Washington and northern Oregon. Its dental program consists of 14 dental clinics providing general and specialty services to the low-income populations it serves. Modeling itself after the YVFWC medical managed care program; the Dental program recently added value-based metrics to its dental practice after Oregon offered a value-based dental reimbursement plan in 2019. This is the first-step YVFWC's dental program that has taken to prepare for value-based reimbursement and transform its dental practice in order to reduce the disease burden in its patient population. The purpose of this article is to describe the processes YVFWC undertook to prepare itself for the new reimbursement model, which included the development of metrics, a metric validation process, a clinical dashboard, and a method for improving metrics. It also outlines its medical/dental integration improvement brought about by embedding hygienists into the medical primary care teams.     

Antifungal susceptibility testing practices in mycology laboratories in France, 2018

A survey of mycology laboratories for antifungal susceptibility testing (AFST) was undertaken in France in 2018, to better understand the difference in practices between the participating centers and to identify the difficulties they may encounter as well as eventual gaps with published standards and guidelines. The survey captured information from 45 mycology laboratories in France on how they perform AFST (number of strains tested, preferred method, technical and quality aspects, interpretation of the MIC values, reading and interpretation difficulties). Results indicated that 86% of respondents used Etest as AFST method, with a combination of one to seven antifungal agents tested. Most of the participating laboratories used similar technical parameters to perform their AFST method and a large majority used, as recommended, internal and external quality assessments. Almost all the participating mycology laboratories (98%) reported difficulties to interpret the MIC values, especially when no clinical breakpoints are available. The survey highlighted that the current AFST practices in France need homogenization, particularly for MIC reading and interpretation.     

Impact and Predictors of Noncircular Left Ventricular Outflow Tract Shapes on Estimating Aortic Stenosis Severity by Means of Continuity Equations

Determining aortic stenosis (AS) severity is clinically important. Calculating aortic valve (AV) area by means of the continuity equation assumes a circular left ventricular outflow tract (LVOT). The full impact of this assumption in calculating AV area is unknown. Predictors of noncircular LVOT shape in patients with AS are undefined.In 109 adult patients with AS who underwent multiplanar transesophageal echocardiography, we calculated AV area by means of the standard continuity method and by a modified method involving planimetric LVOT area.We found 54 circular, 37 horizontal-oval, 8 vertical-oval, and 10 irregular LVOTs. Area derived by direct planimetry correlated better with the modified than the standard continuity method (r=0.89 vs r=0.85; both P=0.0001). Valve areas of patients with mild, moderate, or severe AS by planimetry were more often mischaracterized with use of the standard than modified method (29 vs 18; P <0.0001). Horizontal-oval AV area derived by planimetry (1.28 ± 0.55 cm²) was underestimated by the standard method (1.05 ± 0.47 cm²; P=0.001), but not by the modified method. Congenital AV morphology and low cardiac index were the only multivariate predictors of horizontal-oval shape. Low cardiac index was the only predictor of noncircular shape.More than half our patients with AS had noncircular LVOTs. Using the modified method reduces mischaracterizations of AS severity. Congenital AV morphology and low cardiac index predict horizontal-oval or noncircular shape. These data suggest the value of direct LVOT measurement to calculate AS severity in patients who have congenital AV or a low cardiac index.     

A Multi-Scale DNN Algorithm for Nonlinear Elliptic Equations with Multiple Scales

Algorithms based on deep neural networks (DNNs) have attracted increasing attention from the scientific computing community. DNN based algorithms are easy to implement, natural for nonlinear problems, and have shown great potential to overcome the curse of dimensionality. In this work, we utilize the multi-scale DNN-based algorithm (MscaleDNN) proposed by Liu, Cai and Xu (2020) to solve multi-scale elliptic problems with possible nonlinearity, for example, the p-Laplacian problem. We improve the MscaleDNN algorithm by a smooth and localized activation function. Several numerical examples of multi-scale elliptic problems with separable or non-separable scales in low-dimensional and high-dimensional Euclidean spaces are used to demonstrate the effectiveness and accuracy of the MscaleDNN numerical scheme.     

Reliability of Sonoelastography in Ductal Carcinoma

The objective of the study was to evaluate the reliability of sonoelastography in ductal carcinoma in patients in primary and secondary health care settings. Google Scholar, PubMed, Medline, Medscape, Wikipedia and NCBI were searched in January 2018 for all original research and review articles to identify relevant studies. Two reviewers selected the articles independently for based on the title and abstract. The selection criteria were sonoelastography accuracy for diagnosing ductal carcinoma as index text, B-mode sonography, and micropure imaging; surgery and histologic findings were used as reference text; and benign and malignant breast abnormalities and ductal carcinoma were used as target conditions. Two reviewers extracted the data on selected study characteristics, and the results were used to construct the tables and figures. Fifteen studies on ductal carcinoma were found. The overall sensitivity of sonoelastography in diagnosing ductal carcinoma was 85.7%, and the specificity, 79.8%. On the basis of the literature review, it was concluded that sonoelastography has high sensitivity and specificity in diagnosing ductal carcinoma.     

脂蛋白相关磷脂酶A2、胰岛素样生长因子-1与老年VD患者认知功能的关系及预测价值研究

目的 探讨脂蛋白相关磷脂酶A2（Lp-PLA2）、胰岛素样生长因子-1（IGF-1）与老年血管性痴呆（VD）患者认知功能的关系及预测价值。方法 选择2019 年3～6 月在我院接受治疗的VD 患者60 例为研究对象，同时选取同期在我院接受检查的健康者60 例为对照组，比较两组患者的Lp-PLA2、IGF-1、简易智力状态检查量表评分（MMSE）水平；采用Pearson 相关性分析法对Lp-PLA2、IGF-1 与MMSE 评分的相关性进行分析；采用受试者工作曲线（ROC）下面积（AUC）比较Lp-PLA2、IGF-1 对VD 的预测价值。结果 观察组患者的Lp-PLA2 水平明显高于对照组（P＜0.05），观察组患者的IGF-1、MMSE 评分明显低于对照组（P＜0.05）；Lp-PLA2 与MMSE 评分呈负相关性，IGF-1 与MMSE 评分呈正相关性；Lp-PLA2 与IGF-1 诊断VD 的AUC 值分别为0.940、0.954。结论Lp-PLA2 水平越低，IGF-1 水平越高，患者的认知功能越好，且Lp-PLA2、IGF-1 对老年VD 患者均具有较高的预测价值。