Atrial fibrillation and prediction of mortality by conventional clinical score systems according to the setting of care

Int J Cardiol. 2018 Jun 15:261:73-77. doi: 10.1016/j.ijcard.2018.03.058. Epub 2018 Mar 14.

Abstract

Background: Atrial fibrillation (AF) is associated with high morbidity and mortality, also among anticoagulated patients. Our aim was to evaluate the predictive role for long-term mortality of a series of risk stratification scores associated with cardiovascular or thromboembolic outcomes (CHADS2, CHA2DS2-VASc, ATRIA, TIMI-AF), and bleeding complications (HAS-BLED) in an unselected population of patients with AF.

Methods: Single center, observational, prospective registry of consecutive patients with AF, undergoing clinical/echocardiographic evaluation in a University Hospital, as either in-patients or out-patients. We assessed the role of each single score as predictors of long-term survival according to clinical setting.

Results: We enrolled 1051 patients, mean age 72 ± 12 years, who were followed for 797 ± 298 days. All the tested scores showed a good performance in prediction of mortality, together with several clinical factors (older age, chronic heart failure, diabetes, renal impairment, previous transient ischemic attack, left ventricular ejection fraction). The values at C-statistics ranged between modest (0.608-0.684) of inpatients to good (0.708-0.751) in outpatients without any statistical difference between the scores, excepted a lower performance of HAD-BLED.

Conclusions: Risk scores currently adopted for decision making on starting oral anticoagulation provide good prediction of long-term survival in unselected AF patients, especially in the outpatient setting.

Keywords: Arrhythmia; Outcomes; Real world; Registry; Survival.

Publication types

  • Observational Study

MeSH terms

  • Aged
  • Aged, 80 and over
  • Ambulatory Care / trends*
  • Atrial Fibrillation / diagnosis*
  • Atrial Fibrillation / mortality*
  • Female
  • Follow-Up Studies
  • Hospitalization / trends*
  • Humans
  • Male
  • Middle Aged
  • Predictive Value of Tests
  • Prospective Studies
  • Registries
  • Severity of Illness Index*