# Age and gender disparities in oral anticoagulant use: a nine-year nationwide drug utilization analysis

**Authors:** Ahmed A. A. Omer, Márta Csatordai, Réka Viola, Péter Doró

PMC · DOI: 10.3389/fphar.2026.1770826 · Frontiers in Pharmacology · 2026-02-12

## TL;DR

This study analyzed nine years of Hungarian data to show how the use of blood-thinning drugs changed over time, revealing trends in gender and age differences.

## Contribution

The study provides population-level insights into gender and age disparities in oral anticoagulant use in Hungary using nationwide data.

## Key findings

- Total OAC use nearly doubled from 2014 to 2022, with a significant shift from VKAs to DOACs.
- OAC use was consistently higher in males, and the gender gap in DOAC use widened after 2018.
- Apixaban became the most commonly used OAC by 2022, with the highest use in the 80–84 age group.

## Abstract

Cardiovascular diseases remain the leading cause of mortality in Europe, responsible for one-third of all deaths in 2021. In Hungary, the standardized death rate from cardiovascular diseases reached 722.8 per 100,000 individuals, more than double the EU average. Oral anticoagulants (OACs) play a crucial role in lowering cardiovascular mortality. The use of OACs has shifted rapidly over the past decade with the transition from vitamin K antagonists (VKAs) to direct oral anticoagulants (DOACs). Although previous studies have examined gender differences in OACs prescribing, most rely on patient-level registries and do not capture population-level exposure.

To evaluate population-level trends in OACs consumption in Hungary from 2014 to 2022, stratified by age and gender, with a specific focus on detecting temporal changes in the gender gap.

National level data were obtained from the Hungarian National Health Insurance Fund database, which includes all reimbursed prescription medications for the entire population. Utilization was measured using the WHO’s ATC/DDD methodology and expressed as defined daily doses per 1,000 inhabitants per day (DID). Linear regression was used to assess trends.

Total OACs use nearly doubled over the study period, increasing from 9.79 to 18.73 DID (Coeff. = 1.18, p < 0.001). VKAs use declined significantly in both genders by 41.2% in males and 47.8% in females, while DOACs use increased more than tenfold. OACs utilization was consistently higher in males. Gender differences in DOACs, initially negligible, began to widen from 2018 onward, whereas, VKAs utilization exhibited a consistently wider gender difference across all years. OACs use increased with age, peaking in the 80–84 age group. Apixaban became the most used OAC, reaching 6.11 DID in 2022.

A marked shift from VKAs to DOACs occurred, with overall OACs use nearly doubling, with a widening gender gap in consumption of both VKAs and DOACs. Utilization was consistently higher among males and increased with age, highlighting the importance of continued monitoring to ensure effective and evidence-based anticoagulant use.

## Full-text entities

- **Genes:** F10 (coagulation factor X) [NCBI Gene 2159] {aka FX, FXA}
- **Diseases:** renal impairment (MESH:D007674), systemic embolism (MESH:D004617), Dementia (MESH:D003704), thromboembolic (MESH:D013923), AF (MESH:D001281), COVID-19 (MESH:D000086382), ESRD (MESH:D007676), myocardial infarction (MESH:D009203), Cardiovascular diseases (MESH:D002318), DVT (MESH:D020246), VTE (MESH:D054556), malnutrition (MESH:D044342), deaths (MESH:D003643), PE (MESH:D011655), frailty (MESH:D000073496), falls (MESH:C537863), bleeding (MESH:D006470), obese (MESH:D009765), stroke (MESH:D020521), cancer (MESH:D009369), Circulatory diseases (MESH:D012769), PD (MESH:D010300), OACs (MESH:C536683), fractures (MESH:D050723)
- **Chemicals:** Warfarin (MESH:D014859), acenocumarol (MESH:D000074), rivaroxaban (MESH:D000069552), dabigatran (MESH:D000069604), DOAC (-), Idarucizumab (MESH:C000594745), Edoxaban (MESH:C552171), Apixaban (MESH:C522181), DDD (MESH:D003632)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

55 references — full list in the complete paper: https://tomesphere.com/paper/PMC12935904/full.md

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Source: https://tomesphere.com/paper/PMC12935904