EuroHeart Survey on Heart Failure shows that several modifiable factors predict outcome for patients with acute heart failure and can be used to guide care
Risk stratification of patients with acutely decompensated
heart failure should improve after a number of predictive, modifiable variables
were identified during analysis of data from the EuroHeart Survey on Heart Failure,
according to a presentation at the annual meeting of the European Society of Cardiology.
The EuroHeart Survey on Heart Failure collected data
on 3,579 patients admitted acutely for heart failure by 133 centers in 30 countries.
Patients with cardiogenic shock were excluded from analysis because their short-term
mortality is so high that specific models for risk stratification are less useful:
All patients require intensive management.
The database of the remaining 3,441 patients included
in the EuroHeart Survey on Heart Failure showed that in-hospital all-cause mortality
of patients with acute decompensation of already known heart failure condition
was 5.3 percent (116/2202 patients), while total in-hospital mortality of patients
with de novo acute heart failure was 5.4 percent (67/1239 patients).
Within the average mortality rate of 5.3 percent, risk
for death greatly varied from less than 1 percent to more than 50 percent according
to the presence or absence of clinical variables that significantly influence
in-hospital death.
In both situations (worsening or de novo heart failure),
the strongest independent predictors of short-term, all-cause mortality were the
following: advanced age, low systolic blood pressure, renal dysfunction, signs
of peripheral hypoperfusion, and an acute coronary syndrome as precipitating factor
for heart failure. With the exception of age, all of these clinical conditions
can be appropriately managed in a timely way to reduce in-hospital mortality.
These simple variables, easy to detect in any clinical
setting, can be used immediately by physicians to predict which patients need
care in an intensive or coronary care unit and can personalize treatment strategy
accordingly.
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