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November 14, 2019BMC Cancer128 citationsOpen Access

Incidence of atrial fibrillation in different major cancer subtypes: a Nationwide population-based 12 year follow up study

CJC. JakobsenMLMorten LambertsNCNicholas Carlson

Structured PICO

Does a cancer diagnosis increase the incidence of new-onset atrial fibrillation in the general adult population?

P
Population
4,324,545 Danish citizens aged >18 years with no history of cancer or atrial fibrillation prior to study start. During follow-up, 316,040 persons were diagnosed with cancer.
I
Intervention
Diagnosis of cancer (major subtypes)
C
Comparator
General population without cancer
O
Outcome
New onset atrial fibrillation (identified by ICD-10 diagnosis code 'DI48')hard clinical

A diagnosis of cancer is independently associated with a significantly increased risk of developing new-onset atrial fibrillation, particularly within the first 90 days but persisting up to 5 years.

Limitations

  • Dependence on registry data without validated electrocardiograms
  • Potential surveillance bias due to more frequent medical examinations in cancer patients
  • Lack of data on atrial fibrillation treated solely by general practitioners
  • Unmeasured confounding from lack of clinical parameters like obesity, smoking, and echocardiographic data
  • Lack of data on specific chemotherapies or radiation therapy

Abstract

BACKGROUND: The prevalence of both atrial fibrillation (AF) and malignancies are increasing in the elderly, but incidences of new onset AF in different cancer subtypes are not well described.The objectives of this study were therefore to determine the incidence of AF in different cancer subtypes and to examine the association of cancer and future AF. METHODS: Using national databases, the Danish general population was followed from 2000 until 2012. Every individual aged > 18 years and with no history of cancer or AF prior to study start was included. Incidence rates of new onset AF were identified and incidence rate ratios (IRRs) of AF in cancer patients were calculated in an adjusted Poisson regression model. RESULTS: = 1.12 (CI 1.09-1.15). CONCLUSIONS: In this nationwide cohort study we observed that all major cancer subtypes were associated with an increased incidence of AF. Further, cancer and AF might be independently associated.

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Cite This Study

Jakobsen et al. (2019) studied this question.

synapsesocial.com/papers/6a07b44144ff8ad339f69a8dhttps://doi.org/10.1186/s12885-019-6314-9
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