Multi-state modelling of heart failure care path: A population-based investigation from Italy.
Francesca GasperoniFrancesca IevaGiulia BarbatiArjuna ScagnettoAnnamaria IorioGianfranco SinagraAndrea Di LenardaPublished in: PloS one (2017)
Multi-state models enable a better identification of two patterns of HF patients. Once adjusted for age and comorbidity load, the WHF condition identifies patients who are more likely to be readmitted to hospital, but does not represent an increasing risk factor for activating ICU/IHC. This highlights different ways to manage specific patients' patterns of care. These results provide useful healthcare support to patients' management in real world context. Our study suggests that the epidemiology of the considered clinical characteristics is more nuanced than traditionally presented through a single event.
Keyphrases
- healthcare
- end stage renal disease
- heart failure
- newly diagnosed
- ejection fraction
- chronic kidney disease
- prognostic factors
- peritoneal dialysis
- intensive care unit
- emergency department
- gene expression
- signaling pathway
- risk factors
- chronic pain
- social media
- acute respiratory distress syndrome
- genome wide
- electronic health record