Can we predict the risk of venous thromboembolism in patients with Cushing’s syndrome: a nationwide cohort analysis
Main finding · VTEResult — go to the resultHazard ratio 4.71 95% CI 2.38–9.33Authors' conclusion
In this large cohort of patients with CS, the 5-year VTE risk was 5 times higher compared with matched controls. Key baseline predictors included age ≥ 60, hypertension, heart/kidney disease, and prior VTE.
Study context
- Population
- Patients with Cushing's syndrome (CS) (mean age 48.1 ± 17.2 years, 65.0% women), nationwide; ectopic CS and adrenal cancer excludedmatched cohort
- Participants
- 609 vs 3,018
- Exposure
- CS vs matched controls
- CSn = 609
- Controlsn = 3,018reference
- Outcome
- Time to VTE (pulmonary embolism (PE) or deep vein thrombosis (DVT)) after CS diagnosis
- Follow-up
- Within 5 years of CS diagnosis
Methodological detailscomparative, nationwide, individually matched controls (age, sex, BMI, socioeconomic status), death as competing event
- Comparative
- Nationwide
- Individually matched controls (age, sex, BMI, socioeconomic status)
- Death as competing event
Main finding
VTE · 5 years
Hazard ratio
4.71
95% CI 2.38–9.33
Events by group
CSvs Controls
HR 4.71 (95% CI 2.38–9.33)
As reported in the abstract
Observational data: associations, not effects.
Further findings
| Outcome | HR (95% CI) | |
|---|---|---|
| PE · 5 years | 7.47 (2.66–20.98) | |
| DVT · 5 years | 3.32 (1.36–8.12) | |
| 0.050.21520Hazard ratio (log scale) |
| Outcome | Risk (95% CI) |
|---|---|
| VTE excluding current or prior malignancy | 7.57 (2.98–19.20) |
Predictors of venous thromboembolism (VTE) in CS patients · within 5 years
- Age ≥60 years at diagnosis, HR
- 3.49 (1.30-9.35) (95% CI)
- Hypertension, HR
- 5.53 (1.26-24.27) (95% CI)
- Ischemic heart disease, HR
- 3.60 (1.25-10.36) (95% CI)
- Kidney disease, HR
- 4.85 (1.39-16.90) (95% CI)
- VTE prior to CS diagnosis, HR
- 33.65 (10.07-112.42) (95% CI)
Original publication
Can we predict the risk of venous thromboembolism in patients with Cushing’s syndrome: a nationwide cohort analysis. Pituitary. Published 27 December 2024. doi:10. 1007/ s11102-024-01482-0
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