Links To And Excerpts From 2020 ESC Guidelines for the diagnosis and management of atrial fibrillation developed in collaboration with the European Association for Cardio-Thoracic Surgery (EACTS)

In this post I link to and excerpt from 2020 ESC Guidelines for the diagnosis and management of atrial fibrillation developed in collaboration with the European Association for Cardio-Thoracic Surgery (EACTS): The Task Force for the diagnosis and management of atrial fibrillation of the European Society of Cardiology (ESC) Developed with the special contribution of the European Heart Rhythm Association (EHRA) of the ESC [PubMed Abstract] [Full Text HTML] [Full Text PDF]. European Heart Journal (2020) 00, 1126.

Continue review beginning at 10.1.6

Continue figures after fig 12 PDF numbering. Or just download the slides and

Here are excerpts:

10 Patient management: the integrated ABC pathway

The simple Atrial fibrillation Better Care (ABC) holistic pathway (‘A’ Anticoagulation/Avoid stroke; ‘B’ Better symptom management; ‘C’ Cardiovascular and Comorbidity optimization318) streamlines integrated care of AF patients across all healthcare levels and among different specialties. Compared with usual care, implementation of the ABC pathway has been significantly associated with lower risk of all-cause death, composite outcome of stroke/major bleeding/cardiovascular death and first hospitalization,319 lower rates of cardiovascular events,320,321 and lower health-related costs.322 In the prospective, randomized mAFA-II trial, the composite outcome was significantly lowered with ABC pathway management intervention compared with usual care [1.9% vs. 6.0%; hazard ratio (HR) 0.39; 95% CI 0.22 − 0.67; P <0.001].323

10. 1 ‘A’ – Anticoagulation/Avoid stroke

This section refers to AF in the absence of severe mitral stenosis or prosthetic heart valves (for AF with concomitant VHD see section 11.7).148

10.1.4 Stroke prevention therapies

10.1.6 Decision making to avoid stroke

In observational population cohorts, both stroke and death are relevant endpoints, as some deaths could be due to fatal strokes (given that endpoints are not adjudicated in population cohorts, and cerebral imaging or post-mortems are not mandated). As OAC significantly reduces stroke (by 64%) and all-cause mortality (by 26%) compared with control or placebo,412 the endpoints of stroke and/or mortality are relevant in relation to decision making for thromboprophylaxis.

The threshold for initiating OAC for stroke prevention, balancing ischaemic stroke reduction against the risk of ICH and associated QoL, has been estimated to be 1.7%/year for warfarin and 0.9%/year for a NOAC (dabigatran data were used for the modelling analysis).474 The threshold for warfarin may be even lower, if good-quality anticoagulation control is achieved, with average TTR>70%.475

Given the limitations of clinical risk scores, the dynamic nature of stroke risk, the greater risk of stroke and death among AF patients with ≥1 non-sex stroke risk factor, and the positive net clinical benefit of OAC among such patients, we recommend a risk-factor–based approach to stroke prevention rather than undue focus on (artificially defined) ‘high-risk’ patients. As the default is to offer stroke prevention unless the patient is low risk, the CHA2DS2-VASc score should be applied in a reductionist manner, to decide on OAC or not.476

Thus, the first step in decision making (‘A’ Anticoagulation/Avoid stroke) is to identify low-risk patients who do not need antithrombotic therapy. Step 2 is to offer stroke prevention (i.e. OAC) to those with ≥1 non-sex stroke risk factors (the strength of evidence differs, with multiple clinical trials for patients with ≥2 stroke risk factors, and subgroups from trials/observational data on patients with 1 non-sex stroke risk factor). Step 3 is the choice of OAC—a NOAC (given their relative effectiveness, safety and convenience, these drugs are generally first choice as OAC for stroke prevention in AF) or VKA (with good TTR at >70%). This ‘AF 3-step’ patient pathway182,477 for stroke risk stratification and treatment decision making is shown in Figure 12.

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