Assessing recovery of adrenal function in glucocorticoid-treated patients: Our strategy for screening and management.


Journal

Annals of medicine and surgery (2012)
ISSN: 2049-0801
Titre abrégé: Ann Med Surg (Lond)
Pays: England
ID NLM: 101616869

Informations de publication

Date de publication:
Jun 2022
Historique:
received: 16 03 2022
revised: 26 04 2022
accepted: 01 05 2022
entrez: 23 5 2022
pubmed: 24 5 2022
medline: 24 5 2022
Statut: epublish

Résumé

Long-term glucocorticoid (GC) use is the most frequent cause of adrenal insufficiency through suppression of the hypothalamic-pituitary-adrenal axis. There are no guidelines for predicting adrenal insufficiency (AI) and minimizing its risk. This is a prospective observational study carried out in the Endocrinology-Diabetology and Nutrition department between 2014 and 2021. All patients had received GC therapy for longer than 3 weeks before switching to hydrocortisone substitution, for various indications. These patients were admitted to our department for stimulation tests. We assessed the prevalence of AI, predicting factors, screening and management. In our study the GC-induced AI was found in 49% of patients. We found a strong correlation between the basal morning serum cortisol, body mass index and the peak cortisol level after stimulation tests, while no correlation was found between adrenal function and age, sex, indication of GC therapy, duration of corticosteroid therapy, cumulative dose and daily dose. Patients with GC induced AI took a mean of 12 ± 12,18 months to recover. Adrenal function recovery rate was higher in patients tested by short Synacthen than in those tested by Insulin Hypoglycemia. We demonstrated the positive correlation between serum cortisol peak levels after stimulation and body mass index. The study supports that basal cortisol level, the duration of corticoid cessation and the type of stimulation test can predict the response of cortisol to stimulation tests.

Sections du résumé

Background UNASSIGNED
Long-term glucocorticoid (GC) use is the most frequent cause of adrenal insufficiency through suppression of the hypothalamic-pituitary-adrenal axis. There are no guidelines for predicting adrenal insufficiency (AI) and minimizing its risk.
Methods UNASSIGNED
This is a prospective observational study carried out in the Endocrinology-Diabetology and Nutrition department between 2014 and 2021. All patients had received GC therapy for longer than 3 weeks before switching to hydrocortisone substitution, for various indications. These patients were admitted to our department for stimulation tests. We assessed the prevalence of AI, predicting factors, screening and management.
Results UNASSIGNED
In our study the GC-induced AI was found in 49% of patients. We found a strong correlation between the basal morning serum cortisol, body mass index and the peak cortisol level after stimulation tests, while no correlation was found between adrenal function and age, sex, indication of GC therapy, duration of corticosteroid therapy, cumulative dose and daily dose. Patients with GC induced AI took a mean of 12 ± 12,18 months to recover. Adrenal function recovery rate was higher in patients tested by short Synacthen than in those tested by Insulin Hypoglycemia.
Conclusions UNASSIGNED
We demonstrated the positive correlation between serum cortisol peak levels after stimulation and body mass index. The study supports that basal cortisol level, the duration of corticoid cessation and the type of stimulation test can predict the response of cortisol to stimulation tests.

Identifiants

pubmed: 35600196
doi: 10.1016/j.amsu.2022.103710
pii: S2049-0801(22)00470-8
pmc: PMC9114451
doi:

Types de publication

Journal Article

Langues

eng

Pagination

103710

Informations de copyright

© 2022 The Authors.

Déclaration de conflit d'intérêts

The authors declare no conflicts of interest.

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Auteurs

Najat Draoui (N)

Department of Endocrinology-Diabetology-Nutrition, Mohammed VI University Hospital, Medical School, Mohammed the First University, Oujda, Morocco.

Achwak Alla (A)

Department of Endocrinology-Diabetology-Nutrition, Mohammed VI University Hospital, Medical School, Mohammed the First University, Oujda, Morocco.

Nada Derkaoui (N)

Department of Endocrinology-Diabetology-Nutrition, Mohammed VI University Hospital, Medical School, Mohammed the First University, Oujda, Morocco.

Nisrine Bouichrat (N)

Department of Endocrinology-Diabetology-Nutrition, Mohammed VI University Hospital, Medical School, Mohammed the First University, Oujda, Morocco.

Aymane Loukili (A)

Department of Endocrinology-Diabetology-Nutrition, Mohammed VI University Hospital, Medical School, Mohammed the First University, Oujda, Morocco.

Siham Rouf (S)

Department of Endocrinology-Diabetology-Nutrition, Mohammed VI University Hospital, Medical School, Mohammed the First University, Oujda, Morocco.
Laboratory of Epidemiology, Clinical Research and Public Health, Faculty of Medicine and Pharmacy of Oujda, Mohammed the First University, Morocco.

Hanane Latrech (H)

Department of Endocrinology-Diabetology-Nutrition, Mohammed VI University Hospital, Medical School, Mohammed the First University, Oujda, Morocco.
Laboratory of Epidemiology, Clinical Research and Public Health, Faculty of Medicine and Pharmacy of Oujda, Mohammed the First University, Morocco.

Classifications MeSH