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Enregistrement W2036319056 · doi:10.1097/hjh.0000000000000112

Hypertension, inflammation and atrial fibrillation

2014· letter· en· W2036319056 sur OpenAlexaboutno aff
Fabio Angeli, Gianpaolo Reboldi, Paolo Verdecchia

Notice bibliographique

RevueJournal of Hypertension · 2014
Typeletter
Langueen
DomaineMedicine
ThématiqueAtrial Fibrillation Management and Outcomes
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineAtrial fibrillationInternal medicineCardiologyStroke (engine)Heart failureRisk factorvalvular heart diseaseCoronary artery diseaseDiabetes mellitusPopulationIncidence (geometry)

Résumé

récupéré en direct d'OpenAlex

Atrial fibrillation is the most common cardiac arrhythmia in clinical practice and is a major risk factor for stroke and mortality [1]. It affects approximately 1–2% of the general population, being a disease of aging [2,3]. Its incidence doubles with each decade after 50 years, and its prevalence increases from 0.1% for those below 50 years of age to between 7.3 and 13.7% for those above 80 years of age [3]. Atrial fibrillation is responsible for 15% of strokes overall and 25% of strokes in individuals above 80 years of age [4,5]. Atrial fibrillation is also associated with an increase in the relative risk (RR) of mortality (ranging from 1.3 to 2.4, independent of other risk factors), and adversely affects quality of life [6,7]. Notably, patients who present with stroke in atrial fibrillation have a considerably worse outcome, defined by a higher mortality and morbidity and longer hospital stays, compared with patients who have a stroke in the absence of atrial fibrillation [8,9]. Several clinical conditions such as valvular heart disease, hypertension, diabetes, coronary artery disease (CAD), congestive heart failure (CHF), and obesity are well established risk factors for the development of atrial fibrillation. Nevertheless, hypertension is the most prevalent, independent, and potentially modifiable risk factor for atrial fibrillation [2]. Although the RR of developing atrial fibrillation in patients with hypertension is modest when compared with other conditions (i.e. CHF and valvular disease), because almost 25–30% of people in the developed countries have high blood pressure (BP) [10–12], hypertension accounts for more cases of atrial fibrillation than any other risk factor [13–16]. Cohort studies showed that hypertension was present in up to 53% of patients with atrial fibrillation and was causative in 15% [2,17]. Similarly, hypertension was highly present in individuals enrolled in major atrial fibrillation clinical trials [18–21]. In general population studies, hypertension was an independent risk factor for atrial fibrillation. The risk of atrial fibrillation in hypertensive individuals compared with normotensive individuals was increased by 1.9 times in the Framingham Heart Study [17] and 1.4 times in the Manitoba Follow-up Study [13]. In addition to its role as a risk factor for the development of atrial fibrillation, the presence of hypertension significantly increases the risk of stroke in patients with atrial fibrillation: patients with atrial fibrillation show a three-fold to six-fold increase in stroke risk compared with the general population [22], and the coexistence of hypertension worsens the stroke rate by an additional two-fold to three-fold [23,24]. The pathophysiological mechanisms underlying the link between hypertension and atrial fibrillation are complex and incompletely understood. However, it is now recognized that hypertension, especially if untreated or suboptimally treated, leads to the development of structural changes of the left ventricle and the left atrium that are associated with atrial fibrillation. They include left ventricular (LV) hypertrophy and left atrial enlargement, with subsequent altered mechanical and electrical functions [5,25]. With the development of LV hypertrophy (Fig. 1), there is an enhanced connective tissue deposition and fibrosis, LV compliance is reduced, LV filling pressure and wall stress increase, coronary flow reserve is decreased, and there is the activation of the renin–angiotensin–aldosterone system (RAAS) [25,26]. Similarly, electrical and structural remodeling of the left atrium is a key step in the progression from hypertension to atrial fibrillation. In particular, two distinct abnormalities in atrial electrical properties occur early in hypertensive heart disease and are associated with the development and maintenance of atrial fibrillation: the prolongation of atrial conduction velocity as assessed by the signal-averaged P-wave duration and the decrease in atrial refractoriness [27,28]. There is also accumulation of calcium within atrial myocytes, leading to a reduction of the inward L-type Ca2+ current, which in turn contributes to the shortening of the atrial effective refractory period and the promotion and maintenance of multiple wavelet-re-entry circuits [29] (Fig. 2). In addition, structural remodeling of the atria occurs in parallel with the changes of electrical remodeling. These structural changes include dilatation and increasing atrial fibrosis [30]. Key to this fibrotic process is the deposition of increased amounts of connective tissue between individual cells and with the deposition of large amounts of collagen and fibronectin [31]. This leads to separation of myocites from one another and subsequent impairment of atrial conduction at the microscopic level. These changes culminate in alterations in the biophysical properties of atrial tissue, allowing the initiation and perpetuation of atrial fibrillation [10] (Fig. 2).FIGURE 1: Remodeling of the left ventricle (changes in mass, composition, and function occurring following hypertension and systemic inflammation) as stimulus for atrial fibrillation. Atrial fibrillation may occur at all stages of cardiovascular continuum, and its onset increases the risk of cardiovascular events. Notably, inflammation acts as a catalyst to the remodeling processes of left ventricle and increases renin–angiotensin–aldosterone system activity. ACE, angiotensin converting enzyme; Ang II, angiotensin II; HF, heart failure; LVH, left ventricular hypertrophy; RAAS, renin–angiotensin–aldosterone system.FIGURE 2: Potential mechanisms of atrial remodeling in hypertension. Intracellular increase of Ca2+ contributes to the shortening of the atrial effective refractory period and is critical for fibroblast proliferation and extracellular matrix production. Extracellular matrix accumulation causes fibrosis that favors the occurrence and maintenance of atrial fibrillation.From an epidemiological standpoint, some clinical studies confirmed the role of LV hypertrophy and left atrial enlargement as predictors of atrial fibrillation. For example, in a study by Ciaroni et al.[32], 97 consecutive patients with hypertension who attended a cardiology outpatients clinic were followed for a mean of 25 months, and 19 patients subsequently developed atrial fibrillation. In the multivariable analysis, age, daytime SBP, echocardiographic LV mass, and left atrial dimension were independent predictors for the onset of atrial fibrillation. More recently, a report from the Progetto Ipertensione Umbria Monitoraggio Ambulatoriale study showed that in a large cohort of hypertensive patients, left atrial enlargement and LV mass were independent predictors of atrial fibrillation [33]. Interestingly, inflammation acts as a catalyst to the remodeling processes of left ventricle and left atrium and is a stimulus for increased RAAS activity and production of angiotensin II [34]. Some studies showed that chronic inflammation, estimated by high C reactive protein (CRP) levels, is associated with LV hypertrophy occurrence independent of several other important factors, such as adipose tissue distribution, hemodynamic factors, presence of diabetes and CAD, serum lipids, renal function, age, and sex [35,36]. Moreover, results of atrial biopsies taken from patients in atrial fibrillation compared with controls have demonstrated evidence of inflammatory infiltrates and oxidative damage within the atrial tissue [37,38]. In particular, one of these studies documented abnormal atrial histology in 12 patients with lone atrial fibrillation, compared with normal histology in all of the controls, with 66% of the atrial fibrillation group showing evidence of occult myocarditis [38]. Finally, there is histological evidence to support a potential link between inflammation, the RAAS, and atrial fibrillation. Both inflammation and atrial fibrillation have been shown to upregulate angiotensin receptors [39,40], and an experimental canine model linked increased atrial expression of angiotensin II receptors with increased atrial cell death and leukocyte infiltration [41]. At this regard, the new posthoc analysis of the Losartan Intervention For Endpoint reduction in hypertension study [42], published in this issue of the Journal, adds further evidence linking atrial fibrillation with inflammatory conditions in hypertension. Historically, the clinical association between atrial fibrillation and inflammation is supported by the frequent association of atrial fibrillation with inflammatory diseases of the heart, such as myocarditis and pericarditis [43,44] and by the evidence that the peak incidence of atrial fibrillation occurs on the second and third postoperative days, which coincide with the peak elevation of CRP levels [45]. With their analysis, Bang et al. [42] extended these evidence among hypertensive patients noting that atrial fibrillation is linked with systemic inflammatory disease such as psoriasis. Specifically, they observed that psoriasis was associated with an increased risk of new-onset atrial fibrillation (hazard ratio: 1.74; 95% confidence interval: 1.06–2.86, P = 0.029). Such association was independent of other risk factors for the development of atrial fibrillation, including age, sex, diabetes, BP, incident CHF, left atrial size, and LV hypertrophy [42]. Although intriguing, this analysis is limited by its posthoc nature and by the modest number of atrial fibrillation cases observed during follow-up. In particular, only 17 (11%) patients in the psoriasis group (n = 154) developed new-onset atrial fibrillation. We should also consider other aspects. The study by Bang et al. did not address the value of psoriasis over and behind inflammatory markers, whether assessed by serum or plasma indices. Consequently, the results do not inform us on whether the link between psoriasis and atrial fibrillation is merely association or causal in the complex pathophysiology of this arrhythmia. Finally, emerging data supporting the association between inflammation and atrial fibrillation created exciting potential opportunities to target inflammatory processes for the prevention of atrial fibrillation. In particular, there is evidence supporting the use of some drug therapies, such as RAAS-blockers and statins, to prevent atrial fibrillation by modulating inflammatory pathways [15,46]. Although Bang et al. [42] did not find any interaction between randomized treatment (losartan vs. atenolol) and psoriasis in predicting new-onset atrial fibrillation, the number of patients with psoriasis at baseline is not large enough to show what contribution individual antihypertensive agents may have had on the risk of atrial fibrillation. ACKNOWLEDGEMENTS This study was funded in part by the Fondazione Umbra Cuore e Ipertensione – ONLUS, Perugia, Italy. Conflicts of interest None of the authors of this study has financial or other reasons that could lead to a conflict of interest.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,455
Score d'incertitude au seuil0,804

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,076
Tête enseignante GPT0,285
Écart entre enseignants0,209 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations50
Publié2014
Routes d'admission1
Résumé présentoui

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