Urban-rural health disparity among patients with chronic kidney disease: a cross-sectional community-based study from 2012 to 2019.

Objectives: The incidence of chronic kidney disease (CKD) is increasing owing to the ageing population, resulting in an increased demand for dialysis and kidney transplantation, which can be costly. Current research lacks clarity regarding the relationship between residence setting and CKD prevalence or its related risk factors. This study explored the urban-rural disparities in CKD prevalence and risk factors in Taiwan.

Clinical narrative-aware deep neural network for emergency department critical outcome prediction.

Since early identification of potential critical patients in the Emergency Department (ED) can lower mortality and morbidity, this study seeks to develop a machine learning model capable of predicting possible critical outcomes based on the history and vital signs routinely collected at triage. We compare emergency physicians and the predictive performance of the machine learning model. Predictors including patients' chief complaints, present illness, past medical history, vital signs, and demographic data of adult patients (aged ≥ 18 years) visiting the ED at Shuang-Ho Hospital in New Taipei City, Taiwan, are extracted from the hospital's electronic health records.

Increased activation of HDAC1/2/6 and Sp1 underlies therapeutic resistance and tumor growth in glioblastoma.

Background: Glioblastoma is associated with poor prognosis and high mortality. Although the use of first-line temozolomide can reduce tumor growth, therapy-induced stress drives stem cells out of quiescence, leading to chemoresistance and glioblastoma recurrence. The specificity protein 1 (Sp1) transcription factor is known to protect glioblastoma cells against temozolomide; however, how tumor cells hijack this factor to gain resistance to therapy is not known.