Global contextual representation via graph-transformer fusion for hepatocellular carcinoma prognosis in whole-slide images.

Current methods of digital pathological images typically employ small image patches to learn local representative features to overcome the issues of computationally heavy and memory limitations. However, the global contextual features are not fully considered in whole-slide images (WSIs). Here, we designed a hybrid model that utilizes Graph Neural Network (GNN) module and Transformer module for the representation of global contextual features, called TransGNN. GNN module built a WSI-Graph for the foreground area of a WSI for explicitly capturing structural features, and the Transformer module through the self-attention mechanism implicitly learned the global context information. The prognostic markers of hepatocellular carcinoma (HCC) prognostic biomarkers were used to illustrate the importance of global contextual information in cancer histopathological analysis. Our model was validated using 362 WSIs from 355 HCC patients diagnosed from The Cancer Genome Atlas (TCGA). It showed impressive performance with a Concordance Index (C-Index) of 0.7308 (95% Confidence Interval (CI): (0.6283-0.8333)) for overall survival prediction and achieved the best performance among all models. Additionally, our model achieved an area under curve of 0.7904, 0.8087, and 0.8004 for 1-year, 3-year, and 5-year survival predictions, respectively. We further verified the superior performance of our model in HCC risk stratification and its clinical value through Kaplan-Meier curve and univariate and multivariate COX regression analysis. Our research demonstrated that TransGNN effectively utilized the context information of WSIs and contributed to the clinical prognostic evaluation of HCC.

Improving hand hygiene compliance among healthcare workers: an intervention study in a Hospital in Guizhou Province, China

Abstract Objective Hand hygiene (HH) is a critical component for controlling hospital-acquired infection (HAI). The present study was designed to develop an intervention approach to improve compliance with HH among healthcare workers in a hospital setting. Methods The HH intervention study was conducted in Guizhou Provincial People's Hospital, Guiyang, China and organized by its Department of HAI Management. It was an observational, prospective, quasiexperimental (before-after intervention) study. The study was divided into two phases: the baseline phase and the intervention phase. The investigative team included clinical monitoring staff and infection control practitioners who received a series of instructions on HH compliance, monitoring skills, and measurement of the use of HH products. Results Based on 27,852 observations in a 17-month period, the rate of compliance with HH improved from 37.78% at baseline to 75.90% after intervention. Significant improvement in compliance and an increase in consumption of HH products was observed after intervention. The per patient-day consumption of alcohol-based hand rub products and handwash agents increased by 4.75 mL and 4.55 mL, respectively. The consumption of paper towels increased 3.41 sheets per patient-day. During the same period, the prevalence rate of HAI decreased 0.83%. Conclusions This study demonstrates that a significant improvement in compliance with HH can be achieved through a systemic, multidimensional intervention approach involving all categories of healthcare workers in a hospital setting, which may result in a decrease of the HAI rate.

Improving hand hygiene compliance among healthcare workers: an intervention study in a Hospital in Guizhou Province, China.

OBJECTIVE: Hand hygiene (HH) is a critical component for controlling hospital-acquired infection (HAI). The present study was designed to develop an intervention approach to improve compliance with HH among healthcare workers in a hospital setting. METHODS: The HH intervention study was conducted in Guizhou Provincial People's Hospital, Guiyang, China and organized by its Department of HAI Management. It was an observational, prospective, quasiexperimental (before-after intervention) study. The study was divided into two phases: the baseline phase and the intervention phase. The investigative team included clinical monitoring staff and infection control practitioners who received a series of instructions on HH compliance, monitoring skills, and measurement of the use of HH products. RESULTS: Based on 27,852 observations in a 17-month period, the rate of compliance with HH improved from 37.78% at baseline to 75.90% after intervention. Significant improvement in compliance and an increase in consumption of HH products was observed after intervention. The per patient-day consumption of alcohol-based hand rub products and handwash agents increased by 4.75mL and 4.55mL, respectively. The consumption of paper towels increased 3.41 sheets per patient-day. During the same period, the prevalence rate of HAI decreased 0.83%. CONCLUSIONS: This study demonstrates that a significant improvement in compliance with HH can be achieved through a systemic, multidimensional intervention approach involving all categories of healthcare workers in a hospital setting, which may result in a decrease of the HAI rate.