Table 5 Post-test probabilities for the Random Forest ATTR-CM and cardiac amyloid Random Forest models based on model performance in the Northwestern Medicine Enterprise Data Warehouse Heart Failure Cohort.

Model	Pre-test probability of ATTR-CM^a	Random Forest model output cutoff for the diagnosis of ATTR-CM	LR+	LR−	Post-test probability, LR+	Post-test probability, LR−
Random Forest ATTR-CM model	4%	>0.50	2.86	0.40	10.7%	1.7%
	4%	>0.55	4.12	0.43	14.8%	1.8%
	4%	>0.60	5.85	0.52	19.7%	2.1%
	4%	>0.65	8.24	0.66	25.7%	2.7%
	4%	>0.70	11.07	0.79	31.7%	3.2%
	4%	>0.75	15.97	0.90	40.1%	3.6%
Random Forest cardiac amyloid model	4%	>0.50	4.38	0.43	15.5%	1.8%
	4%	>0.55	7.13	0.53	23.0%	2.2%
	4%	>0.60	12.37	0.66	34.2%	2.7%
	4%	>0.65	21.78	0.79	47.8%	3.2%
	4%	>0.70	39.37	0.89	62.3%	3.6%
	4%	>0.75	72.18	0.96	75.2%	3.9%

The random forest ATTR-CM model was derived using diagnosis codes specifically for wild-type ATTR-CM. The random forest cardiac amyloid model was derived using the more nonspecific umbrella diagnosis code for cardiac amyloidosis.
ATTR-CM amyloidogenic transthyretin cardiomyopathy, LR+ positive likelihood ratio, LR− negative likelihood ratio.
^aPre-test probability was estimated to be 4% based on a prior publication (Kazi et al.²⁰) that modeled the estimated prevalence of ATTR-CM in heart failure patients.

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