Table 3.

Prediction factors for anticoagulant-associated bleeding RAMs.

Characteristics	ACCP [16]	EINSTEIN [37]	HOKUSAI [38]	Kuijer [33]	Martinez [32]	Nieuwenhuis [28]	RIETE [27]	VTE-BLEED [29]	Seiler [34]	CAT-BLEED [33]	Alonso [39]	Nieto [40]	Chopard [31]
Demographic characteristics
Age	X	X		X	X		X	X		X	X	X
Sex (Female, F or Male, M)		X	(F)	(F)	(M)			(M)			(F)
BMI					X	X
Race		X
Bleeding risk factors
Alcohol abuse	X										X	X
History of bleeding	X				X	X	X	X	X		X	X	X
Kidney and/or liver failure	X				X		X	X		X	X
Diabetes mellitus	X										X
Uncontrolled hypertension. (+/− Male)		X	X					X
Recent surgical procedure	X					X
Antiplatelet therapy and NSAIDs	X		X						X		X
Poor anticoagulant control	X								X
Frequent falls, previous stroke, dementia	X				X
Recent trauma					X	X
Cancer history
(active) Cancer or metastatic cancer	X			X	X		X	X	X	X	X	X
Genitourinary cancer										X
Gastrointestinal cancer and Edoxaban treatment										X
Anticancer therapy with gastrointestinal toxicity										X
Index events
Pulmonary embolism as index event					X		X
Distal DVT												X
Other comorbidities
Comorbidity + decrease in functional capacity/immobility	X								X			X
Cardiovascular disease (stroke/coronaropathy/peripheral arterial disease)	X	X			X						X
Syncope													X
Tobacco and COPD					X						X
Biological parameters
Anemia/Hemoglobin	X	X	X				X	X	X		X		X
INR/abnormal prothrombin time	X								X			X
Thrombopenia	X							X			X	X
D-dimer							X *	X *
Drugs
Rivaroxaban											X
Apixaban											X
VKA											X

X * The 2 Skowrońska [30] RAMs are modified version of the VTE BLEED RAM and the RIETE RAM in which D-dimer assessment were added in the RAMS.