The role of preoperative medical therapy on prolactin normalization following prolactinoma resection: evaluating longitudinal prolactin trajectories using linear mixed-effects modeling

Authors

• Karthik Papisetty, Emory University, Atlanta, GA
• Thomas McCaffery, Emory University, Atlanta, GA
• Hithardhi Duggireddy, Emory University, Atlanta, GA
• Karen Salmeron-Moreno, Emory University, Atlanta, GA
• Rommi Kashlan, Emory University, Atlanta, GA
• Josephine Buclez, Emory University, Atlanta, GA
• John Theodore, Emory University, Atlanta, GA
• Chris Donghyun Kim, Emory University, Atlanta, GA
• Jennifer Minseo Kim, Emory University, Atlanta, GA
• Karthik Valiveti, Emory University, Atlanta, GA
• Uday Thakar, Emory University, Atlanta, GA
• Derek Hu, Emory University, Atlanta, GA
• Nyneishia Janarthanan, Emory University, Atlanta, GA
• Justin Maldonado, LSU Health Sciences Center - New Orleans
• Gustavo Pradilla, Emory University, Atlanta, GA
• Tomas Garzon-Muvdi, Emory University, Atlanta, GA

Document Type

Article

Publication Date

5-26-2026

Publication Title

Journal of Clinical Neuroscience

Abstract

BACKGROUND: Optimal treatment sequencing between medical therapy with dopamine agonists and surgical intervention remains debated in prolactinoma management. Understanding whether preoperative medical therapy influences postoperative prolactin normalization trajectories is critical for guiding treatment decisions and patient counseling. We evaluated longitudinal prolactin dynamics after surgery and tested whether preoperative medical therapy influences hormonal recovery rate. METHODS: We retrospectively analyzed 142 patients with prolactinomas who underwent surgical resection between 2000 and 2024 at a single institution. Patients were divided into two cohorts: those who received preoperative dopamine agonist therapy (DAT) prior to surgery (combined medical and surgical, n = 103) and those who underwent first-line surgery (surgical-only, n = 39). Prolactin levels were assessed preoperatively and at fixed timepoints postoperatively. Linear mixed-effects models, Cox proportional hazards regression, and cross-sectional comparisons were used to evaluate postoperative prolactin trajectories and predictors of biochemical remission. RESULTS: Treatment modality did not independently predict postoperative prolactin levels, biochemical remission rates, or rate of prolactin change over time in either the primary 1-year or extended 5-year models. A significant selection effect was identified, whereby postoperative DAT initiation was driven by prolactin elevation rather than treatment group assignment. Baseline prolactin level was the dominant predictor of both time to biochemical remission and time to DAT initiation on Cox regression. CONCLUSION: Preoperative DAT exposure does not independently influence long-term postoperative prolactin trajectories following surgical resection. Baseline prolactin burden, rather than treatment sequencing, is the primary determinant of postoperative prolactin control and should be central to prognostic discussions with patients.

First Page

1

Last Page

8

PubMed ID

42190608

Volume

151

Rights

© 2026 Published by Elsevier Ltd.

Recommended Citation

Papisetty, Karthik; McCaffery, Thomas; Duggireddy, Hithardhi; Salmeron-Moreno, Karen; Kashlan, Rommi; Buclez, Josephine; Theodore, John; Donghyun Kim, Chris; Minseo Kim, Jennifer; Valiveti, Karthik; Thakar, Uday; Hu, Derek; Janarthanan, Nyneishia; Maldonado, Justin; Pradilla, Gustavo; and Garzon-Muvdi, Tomas, "The role of preoperative medical therapy on prolactin normalization following prolactinoma resection: evaluating longitudinal prolactin trajectories using linear mixed-effects modeling" (2026). School of Medicine Faculty Publications. 4847.
https://digitalscholar.lsuhsc.edu/som_facpubs/4847
10.1016/j.jocn.2026.112111