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Table 7 Risk categorization results for six laboratory-based risk scores, each compared to non-laboratory-based risk score, women a

From: Comparative assessment of absolute cardiovascular disease risk characterization from non-laboratory-based risk assessment in South African populations

Dataset

Number

Fr_CVD_08

Fr_CVD_91

Fr_CHD_91

SCORE_h

SCORE_l

CUORE

Aggregate

9,021

93.9%

94.0%

91.7%

95.8%

95.9%

96.2%

BRISK

357

97.2%

97.8%

97.8%

97.8%

97.8%

97.8%

CRIBSA

646

95.7%

95.4%

94.4%

96.6%

96.9%

97.8%

Mangaung

442

92.7%

92.3%

89.1%

95.9%

95.9%

94.5%

QwaQwa

535

92.1%

91.0%

87.7%

95.5%

95.5%

95.1%

AHA-FS Urban

295

97.3%

97.3%

96.6%

96.6%

96.6%

97.3%

AHA-FS Rural

361

92.8%

92.0%

89.7%

92.6%

92.6%

93.7%

PURE, Urban

539

92.8%

93.2%

89.0%

96.6%

97.0%

95.8%

PURE, Rural

607

94.4%

94.1%

92.1%

97.7%

98.0%

96.4%

KwaZulu-Natal

612

96.7%

97.7%

96.4%

98.2%

98.2%

99.0%

CRISIC

393

94.7%

94.9%

93.7%

97.7%

98.0%

96.5%

Mamre

399

94.0%

93.5%

91.0%

95.5%

96.0%

95.5%

KORIS

3,037

92.8%

92.8%

89.7%

95.1%

95.3%

95.0%

PHOENIX

798

91.2%

90.9%

89.2%

91.9%

92.2%

94.2%

Aggregateb

9,021

97.1%

97.2%

96.3%

98.1%

98.3%

97.9%

  1. a‘Agreement’ based on dichotomous risk categorization corresponding to 10-year Framingham (2008) CVD risk >20%, unless otherwise noted; bthreshold of 10-year Framingham CHD risk >20%. CHD coronary heart disease, CVD cardiovascular disease, Fr Framingham.