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. 2022 Feb 7;14:26. doi: 10.1186/s13195-021-00942-0

Table 2.

Summary information of the selected biomarker models (original measurements)

Model AIC BIC R2, unadjusted R2, adjusted AUC, 95% CI LRT x2 P value
IP-MS for Aβ42/40
 All participants AG 124.2 143.6 40.7% 37.5% 86.5% (79.7, 93.4) 53.3 < 0.0001*
 CU A 62.6 76.7 33.5% 25.9% 82.3% (68.5, 96.1) 16.7 < 0.001*
 CI AGP 59.2 77.0 58.7% 52.9% 93.5% (87.5, 99.5) 43.5 < 0.0001*
Simoa for Aβ42/40
 All participants G 145.5 159.4 22.2% 19.4% 77.5% (68.9, 86.1) 28.0 < 0.0001*
 CU G 71.9 81.4 11.0% 3.1% 72.8% (58.1, 87.6) 5.4 0.04
 CI GP 71.7 85.0 42.2% 37.6% 87.1% (78.4, 95.9) 32.4 < 0.01*
Demographic
 All participants 155.6 166.7 12.7% 10.5% 70.7% (61.3, 80.0)
 CU 74.0 81.7 2.4% − 4.0% 58.1% (41.9, 74.3)
 CI 78.9 87.8 27.8% 24.5% 81.3% (71.0, 91.5)

Abbreviations: AIC Akaike information criterion, AUC area under the curve, BIC Bayesian information criterion, CU cognitively unimpaired, CI mild cognitive impairment, LRT likelihood ratio test

*P value of the likelihood ratio test comparing the selected model with the demographic model on the respective sample group