| Literature DB >> 32550971 |
Phronpan Chutpiboonwat1,2, Kanchana Yenpinyosuk2,3, Vitaya Sridama2,4,5, Supaksorn Kunjan4, Karuna Klaimukh4, Thiti Snabboon2,4,5.
Abstract
Macroprolactinemia frequently causes misdiagnosis, unnecessary investigation and inappropriate treatment in hyperprolactinemic patients. Aim of this study is to investigate the prevalence and clinical characteristics of Thai patients with macroprolactinemia. We performed a cross-sectional study in 56 hyperprolactinemic patients (51 women and 5 men) whose sera were subsequently tested for the presence of macroprolactin. Recovery of less than 40% of serum prolactin after polyethylene glycol (PEG) precipitation was indicative of macroprolactinemia. Our study revealed 19.64% (11/56) of patients with hyperprolactinemia were found to have a preponderance of macroprolactin. All patients with macroprolactinemia were women, of which eight of them were initially diagnosed as idiopathic hyperprolactinemia and mistreated with dopamine agonist medications. Interestingly, neuroradiological abnormalities were reported in three patients with macroprolactinemia, 2 cases with prolactinoma and one case with stalk effect hyperprolactinemia. In conclusion, nearly one-fifth of our patients with hyperprolactinemia have macroprolactinemia. This finding suggests that the diagnostic algorithm of all patients with hyperprolactinemia should include the PEG precipitation test as the initial step. Domain: Endocrinology. © Phronpan Chutpiboonwat et al.Entities:
Keywords: Macroprolactinemia; hyperprolactinemia; polyethylene glycol precipitation
Year: 2020 PMID: 32550971 PMCID: PMC7282613 DOI: 10.11604/pamj.2020.36.8.22923
Source DB: PubMed Journal: Pan Afr Med J
Clinical and laboratory characteristics of patients with monomeric hyperprolactinemia and macroprolactinemia
| Characteristics | Monomeric Hyperprolactinemia (n = 47) | Macroprolactinemia (n = 11) |
|---|---|---|
| Gender (M : F) | 5 : 42 | 0 : 11 |
| Median age (range, years) | 39 (20-69) | 35 (22-67) |
| Total PRL (range, ng/mL) | 35.5-7,310 | 37.4-7,350 |
| PRL after PEG precipitation (range, ng/mL) | 28.7-6,105 | 2.6-821 |
| Clinical features (case/total) | ||
| Menstrual abnormalities (F) | 38/42 | 11/11 |
| Galactorrhea (F) | 26/42 | 3/11 |
| Loss of libido (M) | 5/5 | 0/0 |
| Headache | 10/47 | 0/11 |
| Visual field defects | 12/47 | 0/11 |
| Imaging abnormality (case/total) | 40/47 | 3/11 |
Two patients had both elevated monomeric PRL and macroprolactin levels
Nine from ten patients with macroprolactinoma and all patients with hyperprolactinemia from stalk effect
Patient characteristics of the different diagnostic groups with macroprolactinemia
| Etiologies of Hyperprolactinemia | Total number | Median age (years) | Median serum PRL (ng/mL) | Number of Macroprolactinemia |
|---|---|---|---|---|
| Idiopathic | 10 | 35 | 56.3 | 8 |
| Microprolactinoma | 27 | 39 | 81.8 | 1 |
| Macroprolactinoma | 10 | 45 | 251.4 | 1 |
| Stalk compression | 3 | 37 | 57.7 | 1 |
| Drug-induced | 6 | 29 | 45.3 | 0 |
Clinical characteristics of the patients with macroprolactinemia
| Case | Sex | Age (y) | Presenting symptoms | MRI of the pituitary | PRL levels (PEG precipitation) (ng/mL) | ||
|---|---|---|---|---|---|---|---|
| before | after | % recovery | |||||
| I | F | 47 | headache, visual filed defect | sphenoid meningioma | 82.9 | 21.8 | 26.29 |
| II | F | 30 | infertility | normal | 42.4 | 6.4 | 15.09 |
| III | F | 40 | amenorrhea | normal | 56.3 | 7.2 | 12.79 |
| IV | F | 34 | infertility | normal | 64.05 | 2.6 | 4.06 |
| V | F | 23 | amenorrhea | normal | 37.4 | 7.7 | 20.59 |
| VI | F | 22 | amenorrhea, galactorrhea | microprolactinoma | 253.2 | 36.2 | 14.29 |
| VII | F | 22 | infertility | normal | 85 | 11 | 12.94 |
| VIII | F | 35 | amenorrhea | normal | 74.5 | 4.6 | 6.17 |
| IX | F | 36 | amenorrhea | normal | 56 | 5.4 | 9.64 |
| X | F | 67 | headache, visual filed defect | macroprolactinoma | 7,350 | 821 | 11.17 |
| XI | F | 37 | amenorrhea | normal | 66.7 | 6.2 | 9.29 |