Publications by authors named "Zihong Bai"
Background: Dementia is a major public health challenge in modern society. Early detection of high-risk dementia patients and timely intervention or treatment are of significant clinical importance. Neural network survival analysis represents the most advanced technology for survival analysis to date.
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- The study aims to develop a practical method for identifying high-risk patients with sepsis, particularly those who may experience sepsis-associated delirium (SAD), which can worsen prognoses.
- By analyzing data from over 28,000 ICU patients, researchers found that those with a lower Braden score (≤ 15) had significantly higher rates of delirium and increased mortality compared to those with higher scores.
- The study concludes that the Braden score is a useful and straightforward tool for early detection of patients facing a higher risk of negative outcomes in sepsis cases.
Background: Frailty and sepsis have a significant impact on patient prognosis. However, research into the relationship between frailty and sepsis in the general adult population remains inadequate. This paper aims to investigate the association between frailty and adverse outcomes in this population.
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- A study was conducted to examine the relationship between frailty and outcomes in older patients with atrial fibrillation (AF) admitted to the ICU, using the hospital frailty risk score (HFRS) as a measurement tool.
- The analysis included 7,792 patients, revealing that frail individuals had significantly higher rates of in-hospital mortality (18.8% vs. 7.6%) and 30-day mortality (24.5% vs. 12.3%) compared to non-frail patients.
- The findings suggest that frailty independently increases the risk of adverse outcomes in this population, highlighting the need for frailty assessment and targeted interventions in ICU settings.