Dataset Information

Retrospective cohort study of new-onset atrial fibrillation in acute pulmonary embolism on prognosis.

ABSTRACT:

Objectives

To investigate the characteristics of new-onset atrial fibrillation (AF) and its impact on prognosis in acute pulmonary embolism (aPE).

Design

A retrospective cohort study SETTING: The study cohort included patients diagnosed with aPE who were admitted to the Renmin Hospital of Wuhan University from January 2017 to January 2019.

Participants

Patients were ≥18 years of age and hospitalised for aPE.

Outcome measures

AF was diagnosed based on an ECG recording or a Holter monitor during hospitalisation. aPE was diagnosed by CT pulmonary angiography. The prescription was determined from the discharge medication list. All-cause mortality was observed after 6-month follow-up. The logistic regression model and Cox proportional hazards model were used to study the risk factor of the new-onset AF and the predictor of all-cause mortality, respectively.

Results

A total of 590 patients with aPE were enrolled, 23 (3.9%) in the new-onset paroxysmal AF group, 31 (5.3%) in the new-onset persistent AF group and 536 (90.8%) in the sinus rhythm (SR) group. The incidence of the new-onset AF was 9.2% (54/590). A significant difference in age, heart rate, cardiac troponin I ultra, amino-terminal pro-brain natriuretic peptide, D-dimer, left atrial diameter, left ventricular ejection fraction, pulmonary infection, venous thromboembolism, congestive heart failure, chronic cor pulmonale and ischaemic heart disease was found among the three groups (p<0.05). Risk factors for the new-onset AF were massive PE, ischaemic heart disease and congestive heart failure. The survival rate of the paroxysmal and persistent AF group was significantly lower than that of the SR group within 6 months (60.9% and 51.6% vs 88.8%, p<0.001). New-onset persistent AF (OR 2.73; 95% CI 1.28 to 5.81; p=0.009) was an independent predictor affecting the 6-month survival in aPE patients.

Conclusions

Massive PE, ischaemic heart disease and congestive heart failure are high-risk factors which were related to new-onset AF in aPE. New-onset persistent AF was an independent predictor for 6-month all-cause mortality in PE patients.

SUBMITTER: Liu D

PROVIDER: S-EPMC8461272 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:CONTEXT:Although the heritability of atrial fibrillation (AF) is established, the contribution of familial AF to predicting new-onset AF remains unknown. OBJECTIVE:To determine whether familial occurrence of AF is associated with new-onset AF beyond established risk factors. DESIGN, SETTING, AND PARTICIPANTS:The Framingham Heart Study, a prospective community-based cohort study started in 1948. Original and Offspring Cohort participants were aged at least 30 years, were free of AF at the baseline examination, and had at least 1 parent or sibling enrolled in the study. The 4421 participants in this analysis (mean age, 54 [SD, 13] years; 54% women) were followed up through December 31, 2007. MAIN OUTCOME MEASURES:Incremental predictive value of incorporating different features of familial AF (any familial AF, premature familial AF [onset ?65 years old], number of affected relatives, and youngest age of onset in a relative) into a risk model for new-onset AF. RESULTS:Across 11,971 examinations during the period 1968-2007, 440 participants developed AF. Familial AF occurred among 1185 participants (26.8%) and premature familial AF occurred among 351 participants (7.9%). Atrial fibrillation occurred more frequently among participants with familial AF than without familial AF (unadjusted absolute event rates of 5.8% and 3.1%, respectively). The association was not attenuated by adjustment for AF risk factors (multivariable-adjusted hazard ratio, 1.40; 95% confidence interval [CI], 1.13-1.74) or reported AF-related genetic variants. Among the different features of familial AF examined, premature familial AF was associated with improved discrimination beyond traditional risk factors to the greatest extent (traditional risk factors, C statistic, 0.842 [95% CI, 0.826-0.858]; premature familial AF, C statistic, 0.846 [95% CI, 0.831-0.862]; P = .004). Modest changes in integrated discrimination improvement were observed with premature familial AF (2.1%). Net reclassification improvement (assessed using 8-year risk thresholds of <5%, 5%-10%, and >10%) did not change significantly with premature familial AF (index statistic, 0.011; 95% CI, -0.021 to 0.042; P = .51), although categoryless net reclassification was improved (index statistic, 0.127; 95% CI, 0.064-0.189; P = .009). CONCLUSIONS:In this cohort, familial AF was associated with an increased risk of AF that was not attenuated by adjustment for AF risk factors including genetic variants. Assessment of premature familial AF was associated with a very slight increase in predictive accuracy compared with traditional risk factors.