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. 2017 Jun 9;7(6):e013653. doi: 10.1136/bmjopen-2016-013653

Table 4.

False-negative and false-positive diagnosis of different assessment strategies

Strategy False positives, % False negatives, %
Mean (95% CI) p Value Mean (95% CI) p Value
(1) Standard 6.6 (6.4 to 6.9) 3.4 (3.2 to 3.6)
(2) hsTnI 7.0 (6.7 to 7.2) 0.06* 3.0 (2.8 to 3.2) 0.002*
(3) hsTnI+LoD 6.5 (6.3 to 6.8) 0.62*; 0.02† 3.0 (2.8 to 3.2) 0.002*; 1.00†
(4) hsTnI+ ADP 3.4 (3.2 to 3.5) <0.001*,† 3.0 (2.9 to 3.2) 0.005*; 0.84†
(5) hsTnI+LoD+ADP 3.3 (3.1 to 3.4) <0.001*,† 3.0 (2.9 to 3.2) 0.005*; 0.84†
(6) hsTnI+LoD+ADP+direct rule-in 3.3 (3.1 to 3.4) <0.001*,† 2.8 (2.6 to 2.9) <0.001*; 0.05†

False positives: Number of patients diagnosed with ACS and a 30 days adjudicated diagnosis of non-ACS.

False negatives: Number of patients not diagnosed with ACS and a 30 days adjudicated diagnosis of ACS.

*p Value versus strategy 1 (standard care)

†p Value versus strategy 2 (hsTnI)

ACS, acute coronary syndrome; ADP, modified ADAPT accelerated diagnostic protocol; hsTnI, high-sensitivity troponin I; LoD, limit of detection.