Heart Failure | Use Case | Using AI and NLP on EHRs of Heart Failure patients to examine the impact of estimated glomerular filtration rate trend on mortality
Heart failure (HF) often leads to an imbalance in heart and kidney functions, with heart and kidney diseases exacerbating each other's prognosis. In addition to chronic kidney disease (CKD) playing a prognostic role, dynamic changes in renal function have been recognized as indicators of a poor prognosis in HF patients.
This study, in collaboration with Heart Center Aalst, aimed to investigate the prevalence of impaired renal function at the time of HF diagnosis and its correlation with short and long-term outcomes in a real-world cohort of HF patients. Furthermore, we sought to assess how dynamic changes in renal function after HF diagnosis might serve as predictors of HF prognosis.
Complete the form to download the poster and get more insights into the methodology used and the results obtained in the study.
In a real-world cohort of heart failure (HF) patients, the prevalence of chronic kidney disease (CKD) is notably high, and it serves as an independent predictor of mortality. By considering both the current estimated glomerular filtration rate (eGFR) value and the eGFR slope from the previous year, we can obtain additional prognostic information, enabling us to better assess the individual mortality hazard. These findings suggest that patients with a poorer prognosis may benefit from a closer and more vigilant follow-up approach.
Complete the form linked above to download the use case poster and read more on the methodology used and the study results.
In a real-world cohort of heart failure (HF) patients, the prevalence of chronic kidney disease (CKD) is notably high, and it serves as an independent predictor of mortality. By considering both the current estimated glomerular filtration rate (eGFR) value and the eGFR slope from the previous year, we can obtain additional prognostic information, enabling us to better assess the individual mortality hazard. These findings suggest that patients with a poorer prognosis may benefit from a closer and more vigilant follow-up approach.
Complete the form linked above to download the use case poster and read more on the methodology used and the study results.
