ArticleEndocrine2025
Predictors of growth hormone level on postoperative day one in patients with acromegaly.
Article in Endocrine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
purposeThe growth hormone (GH) level on postoperative day one (POD1), i.e., POD1GH, holds significant value in assessing surgical efficacy and predicting long-term remission in patients with acromegaly. This study aims to explore the factors that influence the GH level of POD1 after microscopic transsphenoidal surgery (mTSS) in patients with acromegaly, providing insights for preoperative clinical decisions.
methodsA total of 85 acromegaly patients undergoing mTSS were included in this study. Sex; age; body mass index (BMI); preoperative serum hormone levels and tumor characteristics were assessed for their correlation with POD1GH levels. POD1GH level non-remission, defined as POD1GH > 2.5 ng/mL, was considered an outcome.
resultsThe patients with acromegaly were divided into two groups: adult males (43 cases) and adult females (42 cases), with mean ages of 43.33 ± 11.92 years and 47.02 ± 14.18 years, respectively. Correlation and multivariate linear regression analyses revealed positive correlations of preoperative GH and prolactin (PRL) levels in females with POD1GH levels, while preoperative FT3 and TT levels in males were negatively correlated with POD1GH levels. Binary logistic regression and receiver operating characteristic (ROC) analyses identified preoperative GH levels ≥30.25 ng/mL (OR = 2.236, 95%CI = 1.402-3.567, p < 0.001), FT3 levels ≤4.415 pmol/L (OR = 0.329, 95%CI = 0.167-0.648, p < 0.001), and age ≤51 years (OR = 0.566, 95%CI = 0.352-0.911, p = 0.019) as independent risk factors for POD1GH level non-remission.
conclusionsPreoperative GH, FT3, TT, and PRL levels are correlated with POD1GH levels, with variations observed between sex. Age, preoperative GH, and FT3 levels can predict POD1GH level non-remission. Therefore, the comprehensive consideration of multiple hormone axes is necessary for predicting postoperative efficacy.
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