Age (mean) (years): 75 Female %: 40 Heart failure with preserved EF NYHA class I or II: 57% NYHA class III: 38% NYHA class IV: 5% Family origin not reported Setting: Multicentre Country: Sweden Follow-up: mean 2.6 years Recruitment period is unclear Mortality at 1 year AROC Predicted versus year mortality mortality at 1 deaths) Retrospective cohort Senni People with a diagnosis of heart failure based on symptoms and signs of congestion and objective evidence of cardiac dysfunction at rest. Age (median IQR) (years): 70 NYHA class III-IV: 33.6% Female %: 38.7 Family origin not reported Setting: Multicentre Country: Countries in Europe Follow-up not reported Participants were recruited Mortality at 1 year AUC Brier score mortality at 1 events) The study reported the composite end point of death and transplantati on. Over 90% of the overall events were mortality. Prospective and retrospective Chronic Heart Failure Advanced heart failure and palliative care NICE 2018. All rights reserved. Subject to Notice of rights. ISBN: 978-1-4731-3093-7 Study Risk tool Population Outcomes No of events (%) Study design Spinar AHEAD tool n=6315 People with acute heart failure Age (mean) (years): 77 (52-91) Female %: 44.5 Family origin not reported Setting: Multicentre Country: Spain, France, Argentina, Finland, Switzerland, USA, Tunisia, Austria Follow-up not reported Participant recruitment period is unclear Mortality at 1 year AUC mortality at 1 deaths) Retrospective cohort Advanced heart failure and palliative care Chronic Heart Failure NICE 2018. All rights reserved. Subject to Notice of rights. ISBN: Table 152: Summary of risk tools included in the review Risk tool Description of tool Comments Seattle Heart Failure Model Seattle Heart Failure Model-D Multivariate risk prediction model. The Seattle HF score is calculated by multiplying the coefficient by the variable and summing the values. 