The aim of the study was to evaluate the short term and long-term effects of long acting repeatable bromocriptine (= Parlodel-LAR*) in patients with macroprolactinomas. Twenty-nine patients (15 men and 14 women) aged 42 +/- 2.7 (M +/- SEM) years were injected with Parlodel-LAR* every 4 weeks during 3.3 +/- 0.3 years. The starting dose was 50 mg/injection, then it was increased to 100 mg in 11 patients and 150 mg in 9 patients. PRL levels decreased in all but one patient 4 weeks after the first injection (270 +/- 59 vs 934 +/- 210 ng/ml, p < 0.001), then became less than 20 ng/ml in 20/29 (69%) patients and finally became undetectable or low in 13/29 (45%) patients. Visual field defects were present in 12/29 patients before treatment. In 11/12 patients, treatment with Parlodel-LAR* resulted in an improvement and complete correction of visual field defects was observed in 8/12 patients. Adenoma size (2.5 +/- 0.2 cm before treatment) was reduced by at least 20% in 24/29 (83%) patients. Disappearance of adenoma was observed on CT scan in 8/29 (28%) patients after 28.7 +/- 5.3 months of treatment. Minor side effects occurred in 20 patients after the first injection then disappeared in 18 patients within the following 6 months of treatment. One patient had rhinorrhea after 3 months of treatment. Treatment with Parlodel-LAR* results in beneficial short-term effects (with rapid correction of recent onset visual field defects) and long-term effects (which can include complete disappearance of adenoma on CT scan evaluation) in patients with macroprolactinomas.

Download full-text PDF

Source
http://dx.doi.org/10.1007/BF03349893DOI Listing

Publication Analysis

Top Keywords

patients
16
patients macroprolactinomas
12
visual field
12
field defects
12
months treatment
12
treatment
8
long acting
8
acting repeatable
8
repeatable bromocriptine
8
bromocriptine parlodel-lar*
8

Similar Publications

Although radiotherapy techniques are the primary treatment for head and neck cancer (HNC), they are still associated with substantial toxicity, and side effect. Machine learning (ML) based radiomics models for predicting toxicity mostly rely on features extracted from pre-treatment imaging data. This study aims to compare different models in predicting radiation-induced xerostomia and sticky saliva in both early and late stage of HNC patients using CT and MRI image features along with demographics and dosimetric information.

View Article and Find Full Text PDF

Purpose: Adherence to home rehabilitation following total knee arthroplasty (TKA) is essential to reach optimal functional outcomes, especially in fast-track procedures. The aim of this study is to identify which sociodemographic and health factors significantly affect adherence in this context.

Methods: This is a secondary analysis of a randomized controlled trial with 52 patients.

View Article and Find Full Text PDF

In the fields of engineering, science, technology, and medicine, artificial intelligence (AI) has made significant advancements. In particular, the application of AI techniques in medicine, such as machine learning (ML) and deep learning (DL), is rapidly growing and offers great potential for aiding physicians in the early diagnosis of illnesses. Depression, one of the most prevalent and debilitating mental illnesses, is projected to become the leading cause of disability worldwide by 2040.

View Article and Find Full Text PDF

Background: In difficult colorectal cases, surgeons may opt for a hand-assisted laparoscopic (HALS) colectomy or attempt a laparoscopic surgery that may require an unplanned conversion to open (LCOS). We aimed to compare the clinical outcomes of these 2 types of surgeries.

Methods: Colectomies for acute diverticulitis with a HALS or LCOS surgery were selected from the American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) 2022 Targeted Colectomy Database.

View Article and Find Full Text PDF

Background: Thyroid nodules classified cytologically as low-risk indeterminate lesions (TIR3A) on fine-needle aspiration biopsy (FNAB) present a clinical challenge due to their uncertain malignancy risk. This single-center study aimed to evaluate the natural history of TIR3A nodules.

Materials And Methods: FNABs performed between July 2017 and December 2019 were retrospectively retrieved and patients with TIR3A nodules were evaluated at baseline and throughout a follow-up based on ultrasound (US) parameters and clinical data.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!