Impact of etiology, sex, diabetes mellitus and remission status on erythrocytic profile in patients with cushing’s syndrome: a large population database study
Authors' conclusion
Our data illustrates that erythrocytic parameters are directly influenced by glucocorticoid excess as Hgb and Hct are higher in patients with CS, and normalize after remission. We have identified the influence of DM on erythrocytic parameters in patients with CS for the first time.
Study context
- Population
- Patients with cushing's syndrome (CS) (68.26% female; mean age 51.11 ± 16.85 years) vs matched controls from the normal populationmatched 1:5
- Participants
- 397 vs 1,970
- Exposure
- CS vs matched controls
- CSn = 397
- Controlsn = 1,970reference
- Outcome
- Erythrocytic parameters (Hgb, Hct)
- Follow-up
- Baseline (mean values during the year preceding CS diagnosis)
Methodological detailsmatched 1:5 on age, sex, body mass index (BMI) and socioeconomic status, population database
- Matched 1:5 on age, sex, BMI and socioeconomic status
- Population database
Main finding
As reported in the abstract
baseline
Values · baseline
Hct median CS 41.64% · Controls 39.80%
- CS vs Controls: P < 0.0001 — hemoglobin (Hgb) higher with CS
- CS vs Controls: P < 0.0001 — hematocrit (Hct) higher with CS
Observational data: associations, not effects.
Further findings
| Outcome | Controls |
|---|---|
| Hgb and Hct after remission | 13.20 g/dL |
| Hct | 39.98% |
- Hgb and Hct by diabetes mellitus (DM) status · CS with DM vs Controls · similar Hgb, higher Hct with CS with DM
- P = 0.0419
- Hgb and Hct by DM status · CS without DM vs Controls · elevated erythrocytic values with CS without DM
- P < 0.0001
- Hgb and Hct after remission: CS in remission 13.20 g/dL · Hct 40.08%
Hgb and Hct after remission
- Remission: Hgb and Hct comparable to controls; persistent/recurrent disease maintained elevated levels
Original publication
Impact of etiology, sex, diabetes mellitus and remission status on erythrocytic profile in patients with cushing’s syndrome: a large population database study. Pituitary. Published 20 May 2024. doi:10.
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