Prominent seasonal variation in pulmonary embolism than deep vein thrombosis incidence: a Korean venous thrombosis epidemiology study

Research output: Contribution to journalJournal articlepeer-review

  • Junshik Hong
  • Ju Hyun Lee
  • Ji Yun Lee
  • Jeong-Ok Lee
  • Won-Il Choi
  • Soyeon Ahn
  • Lim, Youn-Hee
  • Soo-Mee Bang
  • Doyeun Oh

Background/Aims: Seasonal variation is an environmental factor proposed to affect the incidence of venous thromboembolism (VTE). However, VTE seasonal variation is not well studied in Asian populations, which have different genetic determinants of VTE compared to Westerners. The present study aimed at investigating seasonal variation of VTE occurrence and the effect of various demographic factors (i.e., age, sex, and co-morbidities) on variation.

Methods: VTE seasonal variation was evaluated in 59,626 index cases (from January 2009 to December 2013) in the Korean Health Insurance Review and Assessment Service database. We quantified and compared VTE occurrence across four seasons, and additionally assessed monthly through a chronobiological analysis.

Results: VTE incidence varied both seasonally and monthly, with new cases peaking in the winter (January and February) and the lowest incidence in the summer (August and September). After adjusting for sex, age, type of VTE, and combined cancer diagnosis, winter remained a significant independent factor driving VTE incidence. Additionally, seasonal variation was prominent in patients aged 60 years or older and in patients with pulmonary embolism, but not so prominent in patients of aged less than 60 years and patients with deep vein thrombosis.

Conclusions: Seasonal variation was a weak but independent contributor to VTE incidence in a Korean population diagnosed from 2009 to 2013, especially in those individuals with old age or suffering from a pulmonary embolism.

Original languageEnglish
JournalKorean Journal of Internal Medicine
ISSN0494-4712
DOIs
Publication statusE-pub ahead of print - 25 Oct 2019
Externally publishedYes

ID: 230063215