ABSTRACT
Up to half of patients undergoing elective coronary angiography for the investigation of chest pain do not present with evidence of obstructive coronary artery disease. These patients are often discharged with a diagnosis of non-cardiac chest pain, yet many could have an ischaemic basis for their symptoms. This type of ischaemic chest pain in the absence of obstructive coronary artery disease is referred to as INOCA (ischaemia with non-obstructive coronary arteries). This comprehensive review of INOCA management looks at why these patients require treatment, who requires treatment based on diagnostic evaluation, what clinical treatment targets should be considered, how to treat patients using a personalised medicine approach, when to initiate treatment, and where future research is progressing.
Subject(s)
Chest Pain/etiology , Coronary Angiography/methods , Coronary Artery Disease/diagnosis , Ischemia/pathology , Arterial Occlusive Diseases/diagnosis , Case-Control Studies , Chest Pain/diagnosis , Coronary Artery Disease/epidemiology , Coronary Artery Disease/physiopathology , Coronary Vessels/pathology , Coronary Vessels/physiopathology , Disease Management , Female , Health Status , Humans , Male , Patient Selection , Precision Medicine/methods , PrevalenceABSTRACT
BACKGROUND: Although physical activity (PA) is an important component of cardiovascular disease prevention and treatment, its role in atrial fibrillation (AF) risk is less well established. OBJECTIVE: The purpose of this study was to systematically summarize the evidence pertaining to the relationship of PA and risk of AF. METHODS: We searched the PubMed and Embase databases for prospective cohort studies reporting the risk of AF associated with a specific PA volume through March 2020. From each study, we extracted the risk associated with a given PA level, in comparison with insufficiently active ("inactive") individuals. The reported risk was normalized to metabolic equivalent of task (MET)-minutes per week. A random-effects meta-analysis was used to compare AF risk between those who met and those who did not meet PA recommendations (450 MET-minutes per week), and a dose-response analysis between the level of PA and the risk of AF was performed. RESULTS: Fifteen studies reporting data from 1,464,539 individuals (median age 55.3 years; 51.7% female) were included. Individuals achieving guideline-recommended level of PA had a significantly lower risk of AF (hazard ratio 0.94; 95% confidence interval 0.90-0.97; P = .001). Dose-response analysis showed that PA levels up to 1900 MET-minutes per week were associated with a lower risk of AF, with less certainty beyond that level. CONCLUSION: PA at guideline-recommended levels and above are associated with a significantly lower AF risk. However, at 2000 MET-minutes per week and beyond, the benefit is less clear.
Subject(s)
Atrial Fibrillation/therapy , Exercise Therapy/methods , Self Report , Atrial Fibrillation/epidemiology , Atrial Fibrillation/physiopathology , Global Health , Humans , Incidence , Risk FactorsABSTRACT
BACKGROUND: Atrial fibrillation (AF) management guidelines recommend screening for symptoms of sleep-disordered breathing (SDB). We aimed to assess the role of self-reported daytime sleepiness in detection of patients with SDB and AF. METHODS: A total of 442 consecutive ambulatory patients with AF who were considered candidates for rhythm control and underwent polysomnography comprised the study population. The utility of daytime sleepiness (quantified by the Epworth Sleepiness Scale [ESS]) to predict any (apnea-hypopnea index [AHI] ≥ 5), moderate-to-severe (AHI ≥ 15), and severe (AHI ≥ 30) SDB on polysomnography was tested. RESULTS: Mean age was 60 ± 11 years and 69% patients were men. SDB was present in two-thirds of the population with 33% having moderate-to-severe SDB. Daytime sleepiness was low (median ESS = 8/24) and the ESS poorly predicted SDB, regardless of the degree of SDB tested (area under the curve: 0.48-0.56). Excessive daytime sleepiness (ESS ≥ 11) was present in 11.9% of the SDB population and had a negative predictive value of 43.1% and a positive predictive value of 67.5% to detect moderate-to-severe SDB. Male gender (odds ratio [OR]: 2.3, 95% confidence interval [CI]: 1.4-3.8, P = 0.001), obesity (OR: 3.5, 95% CI: 2.3-5.5, P < 0.001), diabetes (OR: 2.3, 95% CI: 1.2-4.4, P = 0.08), and stroke (OR: 4.6, 95% CI: 1.7-12.3, P = 0.002) were independently associated with an increased likelihood of moderate-to-severe SDB. CONCLUSIONS: In an ambulatory AF population, SDB was common but most patients reported low daytime sleepiness levels. Clinical features, rather than daytime sleepiness, were predictive of patients with moderate-to-severe SDB. Lack of excessive daytime sleepiness should not preclude patients from being investigated for the potential presence of concomitant SDB.
