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Biomarkers of Inflammation and Risk of Hospitalization for Heart Failure in Patients With Atrial Fibrillation.

ABSTRACT: Background Hospitalization for heart failure (HF) is very common in patients with atrial fibrillation (AF). We hypothesized that biomarkers of inflammation can identify patients with AF at increased risk of this important complication. Methods and Results Patients with established AF were prospectively enrolled. Levels of hs-CRP (high-sensitivity C-reactive protein) and interleukin-6 were measured from plasma samples obtained at baseline. We calculated an inflammation score ranging from 0 to 4 (1 point for each biomarker between the 50th and 75th percentile, 2 points for each biomarker above the 75th percentile). Individual associations of biomarkers and the inflammation score with HF hospitalization were obtained from multivariable Cox proportional hazards models. A total of 3784 patients with AF (median age 72 years, 24% prior HF) were followed for a median of 4.0 years. The median (interquartile range) plasma levels of hs-CRP and interleukin-6 were 1.64 (0.81-3.69) mg/L and 3.42 (2.14-5.60) pg/mL, respectively. The overall incidence of HF hospitalization was 3.04 per 100 person-years and increased from 1.34 to 7.31 per 100 person-years across inflammation score categories. After multivariable adjustment, both biomarkers were significantly associated with the risk of HF hospitalization (per increase in 1 SD, adjusted hazard ratio [HR], 1.22; 95% CI, 1.11-1.34 for log-transformed hs-CRP; adjusted HR, 1.48; 95% CI, 1.35-1.62 for log-transformed interleukin-6). Similar results were obtained for the inflammation score (highest versus lowest score, adjusted HR, 2.43; 95% CI, 1.80-3.30; P value for trend <0.001). Conclusions Biomarkers of inflammation strongly predicted HF hospitalization in a large, contemporary sample of patients with AF. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT02105844.

SUBMITTER: Benz AP

PROVIDER: S-EPMC8174180 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:OBJECTIVES:This study sought to identify modifiable risk factors and estimate the impact of risk factor modification on heart failure (HF) risk in women with new-onset atrial fibrillation (AF). BACKGROUND:Incident HF is the most common nonfatal event in patients with AF, although strategies for HF prevention are lacking. METHODS:We assessed 34,736 participants in the Women's Health Study who were free of prevalent cardiovascular disease at baseline. Cox models with time-varying assessment of risk factors after AF diagnosis were used to identify significant modifiable risk factors for incident HF. RESULTS:Over a median follow-up of 20.6 years, 1,495 women developed AF without prevalent HF. In multivariable models, new-onset AF was associated with an increased risk of HF (hazard ratio [HR]: 9.03; 95% confidence interval [CI]: 7.52 to 10.85). Once women with AF developed HF, all-cause (HR: 1.83; 95% CI: 1.37 to 2.45) and cardiovascular mortality (HR: 2.87; 95% CI: 1.70 to 4.85) increased. In time-updated, multivariable models accounting for changes in risk factors after AF diagnosis, systolic blood pressure >120 mm Hg, body mass index ?30 kg/m2, current tobacco use, and diabetes mellitus were each associated with incident HF. The combination of these 4 modifiable risk factors accounted for an estimated 62% (95% CI: 23% to 83%) of the population-attributable risk of HF. Compared with women with 3 or 4 risk factors, those who maintained or achieved optimal risk factor control had a progressive decreased risk of HF (HR for 2 risk factors: 0.60; 95% CI: 0.37 to 0.95; 1 risk factor: 0.40; 95% CI: 0.25 to 0.63; and 0 risk factors: 0.14; 95% CI: 0.07 to 0.29). CONCLUSIONS:In women with new-onset AF, modifiable risk factors including obesity, hypertension, smoking, and diabetes accounted for the majority of the population risk of HF. Optimal levels of modifiable risk factors were associated with decreased HF risk. Prospective assessment of risk factor modification at the time of AF diagnosis may warrant future investigation.

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Biomarkers of Inflammation and Risk of Hospitalization for Heart Failure in Patients With Atrial Fibrillation.

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