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Table 1 The covariates included in ATRIA, Framingham, CHADS2, CHA2DS2VASc and Q-Stroke

From: Feasibility and evaluation of a large-scale external validation approach for patient-level prediction in an international data network: validation of models predicting stroke in female patients newly diagnosed with atrial fibrillation

Predictor

ATRIA

Framingham

CHADS2

CHA2DS2VASc

Q-Stroke

Age >= 85

x

    

Age 75–84

x

    

Age 65–74

x

  

x

 

Age 60–62

 

x

   

Age 63–66

 

x

   

Age 67–71

 

x

   

Age 72–74

 

x

   

Age 75–77

 

x

   

Age 78–81

 

x

   

Age 82–85

 

x

   

Age 86–90

 

x

   

Age 91–93

 

x

   

Age > 93

 

x

   

Age >= 75

  

x

x

 

Female

x

x

 

x

 

Diabetes

x

x

x

x

x

Congestive heart failure

x

 

x

 

x

Prior Stroke or transient ischemic attack

 

x

x

x

 

Hypertension

x

 

x

x

x

Systolic blood pressure+

 

x

  

x

Total cholesterol: HDLa cholesterol ratio+

    

x

Townsend deprivation score+

    

x

Proteinuria

x

    

eGFRa < 45 or End stage renal disease

x

    

Vascular disease

   

x

 

Congestive heart failure or Liver disease

   

x

 

Smoking status+

    

x

Ethnicity+

    

x

Coronary heart disease

    

x

Family history of congestive heart failure+

    

x

Atrial fibrillation

    

x

Rheumatoid arthritis

    

x

Chronic renal disease

    

x

Valvular heart disease

    

x

  1. Existing models for predicting stroke risk. + indicates predictors are often poorly recorded or missing in claims data
  2. aHDL High-density lipoproteins, eGFR Estimated glomerular filtration rate