Objective:
The aim of this study was to investigate the urine prolactin and serum/urine
prolactin ratio for accuracy diagnosis of macroprolactinemia.
Methods: In
the retrospective cross-sectional analysis, prolactin levels (high or normal)
in the reproductive period of men and women were included in the study.
Polyethylene glycol (PEG) precipitation method was used for the detection of
macroprolactinemia. Then, patients were divided into three groups as
macroprolactinemia, prolactinoma and healthy control group. In patients,
prolactin values in spot urine with simultaneous serum prolactin values were
calculated. The non-parametric Kruskal-Wallis test was used to compare the
groups. The receiver-operating characteristic (ROC) curve was determined to
evaluate the predictive power of serum/urine prolactin ratio.
Results: A
total of 41 patients were included in the study. Female/male:36 (87.8%)/ 5
(12.2%). Urinary prolactin median(minimum-maximum) values were
macroprolactinemia, prolactinoma and control group, respectively;
0.06(0.05-0.10), 0.11(0.02-0.95), 0.08(0.05-0.25) ng/ml. Serum/urine ratio
median (minium-maximum) values were macroprolactinemia, prolactinoma, and control
group, respectively; 633(51-1032), 990(104-9635), 395.5(138-953). When the
groups were compared, the patients with prolactinoma had higher urinary
prolactin levels(p <0.01). Serum/urine prolactin ratio was found to be the
highest in prolactinoma patients and the lowest in the control group and a
significant difference was observed in groups (p <0.01).
ROC
analysis(control-macroprolactin) for serum/urine prolactin ratio (Sensitivity
84.6 specificity 93.7 cut off >549,5 AUC=0.83) p<0.01
Conclusion:
Urinary prolactin level and serum/urine prolactin ratio may be used in
diagnosis of macroprolactinemia.
Primary Language | English |
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Subjects | Health Care Administration |
Journal Section | Research Article |
Authors | |
Publication Date | March 3, 2019 |
Submission Date | November 2, 2018 |
Published in Issue | Year 2019 Volume: 46 Issue: 1 |