Forskning
Udskriv Udskriv
Switch language
Region Hovedstaden - en del af Københavns Universitetshospital
Udgivet

Recurrent event survival analysis predicts future risk of hospitalization in patients with paroxysmal and persistent atrial fibrillation

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  1. Cytomegalovirus-specific CD8+ T-cell responses are associated with arterial blood pressure in people living with HIV

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  2. Making the best of the worst: Care quality during emergency cesarean sections

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  3. Seasonality of ventricular fibrillation at first myocardial infarction and association with viral exposure

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Vis graf over relationer

BACKGROUND: In patients with paroxysmal atrial fibrillation (PAF) or persistent atrial fibrillation (PeAF) symptom burden and fear of hospital readmission are major causes of reduced quality of life. We attempted to develop a prediction model for future atrial fibrillation hospitalization (AFH) risk in PAF and PeAF patients including all previously experienced AFHs in the analysis, as opposed to time to first event.

METHODS: Recurrent event survival analysis was used to model the impact of past AFHs on the risk of future AFHs. A recurrent event was defined as a hospitalization due to a new episode of AF. Death or progression to permanent AF were included as competing risks.

RESULTS: We enrolled 174 patients with PAF or PeAF, mean follow up duration was 1279 days, and 325 AFHs were observed. Median patient age was 63.0 (IQR 52.2-68.0), 29% had PAF, and 71% were male. Highly significant predictors of future AFH risk were PeAF (HR 3.20, CI 2.01-5.11) and number of past AFHs observed (HR for 1 event: 2.97, CI 2.04-4.32, HR for ≥2 events: 7.54, CI 5.47-10.40).

CONCLUSION: In PAF and PeAF patients, AF type and observed AFH frequency are highly significant predictors of future AFH risk. The developed model enables risk prediction in individual patients based on AFH history and baseline characteristics, utilizing all events experienced by the patient. This is the first time recurrent event survival analysis has been used in AF patients.

OriginalsprogEngelsk
Artikelnummere0217983
TidsskriftPLoS One
Vol/bind14
Udgave nummer6
Sider (fra-til)e0217983
ISSN1932-6203
DOI
StatusUdgivet - 1 jun. 2019

ID: 57329502