Evaluation of a perioperative steroid coverage after pituitary surgery

INTRODUCTION

Serum cortisol levels within the first days after pituitary surgery have been shown to be a predictor of post-surgical adrenal insufficiency. However, the indication of empirical glucocorticoids to avoid this complication remains controversial. The objective is to assess the role of cortisol in the early postoperative period as a predictor of long-term corticotropic function according to the pituitary perisurgical protocol with corticosteroid replacement followed in our center.

METHODS

One hundred eighteen patients who underwent surgery in a single center between December 2012 and January 2020 for a pituitary adenoma were included. Of these, 54 patients with previous adrenal insufficiency (AI), Cushing's disease, or tumors that required treatment with high-dose glucocorticoids (GC) were excluded. A treatment protocol with glucocorticoids was established, consisting of its empirical administration at rapidly decreasing doses, and serum cortisol was determined on the third day after surgery. Subsequent adrenal status was assessed through follow-up biochemical and clinical evaluations.

RESULTS

Out of the 64 patients treated, there were 56 macroadenomas and 8 microadenomas. The incidence of adrenal insufficiency after pituitary surgery was 4.7%. The optimal cut-off value that predicted an adequate corticotropic reserve, taking into account the best relationship of specificity and sensitivity, was ≥4.1 μg/dl for serum cortisol on the third day (sensitivity 95.1%, specificity 100%).

CONCLUSION

Serum cortisol on the third day predicts the development of adrenal insufficiency. We suggest a cortisol cut-off point of ≥4.1 μg/dl on postoperative on the third day after surgery as a predictor of the adrenal reserve in the long-term.

Glucose metabolism before and after treatment in patients with acromegaly

INTRODUCTION

The aim of this study was to ascertain the prevalence of carbohydrate changes in patients diagnosed with acromegaly, and to evaluate what happens two years after treatment. It was also intended to assess which factors are associated to the occurrence of such changes.

MATERIAL AND METHODS

Sixty-six patients diagnosed with acromegaly at our center were enrolled and divided into groups with normal glucose metabolism, prediabetes, and diabetes. After 2 years of treatment of acromegaly, prevalence carbohydrate changes was assessed again depending on the patient condition (cured, controlled with medical treatment, or uncontrolled).

RESULTS

At the time of diagnosis of acromegaly, 27.3% of the patients had diabetes (n=18), 39.4% had prediabetes (n=26), and 33.3% had no changes (n=22). Significant differences were found in IGF-1 and z-score of IGF-1 (median of 18.1 in diabetics and 10.6 in non-diabetics, P=.005). Two years after treatment, there was a significant decrease in the prevalence of diabetes and prediabetes in cured patients (from 29.2% to 8.3% and from 45.8% to 16.7%, respectively, P=.003), but not in patients controlled with medical treatment or not controlled.

CONCLUSION

At our center, 66.6% of patients with acromegaly had changes in carbohydrate metabolism at diagnosis, with a prevalence of diabetes of 27.3%. Two years after treatment of acromegaly, prevalence of diabetes and prediabetes decreased in cured patients.

[Clinical guidelines for diagnosis and treatment of prolactinoma and hyperprolactinemia]

OBJECTIVE

To provide practical and up to date recommendations for evaluation, differential diagnosis, and treatment of prolactinoma and hyperprolactinemia in various clinical settings.

PARTICIPANTS

Members of the Neuroendocrinology Working Group of the Spanish Society of Endocrinology.

METHODS

Recommendations were formulated according to the Grading of Recommendations, Assessment, Development, and Evaluation system (GRADE) to describe both the strength of recommendations and the quality of evidence. A systematic search was made in Medline (Pubmed) for each subject, and authors' considerations were added in areas where the literature provided scarce evidence. Finally, recommendations were jointly discussed by the Working Group.

CONCLUSIONS

The document provides evidence-based practical and updated recommendations for diagnosis and management of hyperprolactinemia and prolactinoma, including drug-induced hyperprolactinemia, treatment options for prolactinoma (drugs, surgery, and radiotherapy), prolactinoma in pregnancy, adverse effects of dopaminergic agents, and drug-resistant and malignant prolactinomas.