Optimizing laboratory defined macroprolactin algorithm
Introduction: Macroprolactinaemia is a well-known analytical problem in diagnostics of hyperprolactinaemia usually detected with polyethyleneglycol (PEG) precipitation method. Since there is no harmonization in macroprolactin detection and reporting results, this study proposes and evaluates the use...
| Permalink: | http://skupni.nsk.hr/Record/nsk.NSK01001069024/Details |
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| Matična publikacija: |
Biochemia medica (Online) 29 (2019), 2 ; str. 346-351 |
| Glavni autori: | Šostarić, Milica (Author), Bokulić, Adriana, Marijančević, Domagoj, Zec, Ivana, liječnica |
| Vrsta građe: | e-članak |
| Jezik: | eng |
| Predmet: | |
| Online pristup: |
https://doi.org/10.11613/BM.2019.020706 Biochemia medica (Online) Hrčak |
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| 003 | HR-ZaNSK | ||
| 005 | 20200910135739.0 | ||
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| 007 | cr|||||||||||| | ||
| 008 | 200710s2019 ci d |o |0|| ||eng | ||
| 024 | 7 | |2 doi |a 10.11613/BM.2019.020706 | |
| 035 | |a (HR-ZaNSK)001069024 | ||
| 040 | |a HR-ZaNSK |b hrv |c HR-ZaNSK |e ppiak | ||
| 041 | 0 | |a eng |b eng | |
| 042 | |a croatica | ||
| 044 | |a ci |c hr | ||
| 080 | 1 | |a 577 |2 2011 | |
| 080 | 1 | |a 61 |2 2011 | |
| 100 | 1 | |a Šostarić, Milica |4 aut | |
| 245 | 1 | 0 | |a Optimizing laboratory defined macroprolactin algorithm |h [Elektronička građa] / |c Milica Šostarić, Adriana Bokulić, Domagoj Marijančević, Ivana Zec. |
| 300 | |b Graf. prikazi. | ||
| 504 | |a Bibliografija: 18 jed. | ||
| 504 | |a Summary. | ||
| 520 | |a Introduction: Macroprolactinaemia is a well-known analytical problem in diagnostics of hyperprolactinaemia usually detected with polyethyleneglycol (PEG) precipitation method. Since there is no harmonization in macroprolactin detection and reporting results, this study proposes and evaluates the usefulness of in-house developed algorithm. The aims were to determine the most suitable way of reporting results after PEG treatment and the possibilities of rationalizing the precipitation procedure.Materials and methods: This is a retrospective study based on extracted data for 1136 patients. Prolactin concentrations were measured beforeand after PEG precipitation on Roche cobas e601. Macroprolactinaemia was defined by percentage recovery and post-PEG prolactin concentrations.Results: Prevalence of macroprolactinaemia using recovery criteria of ≤ 40%, ≤ 60%, and post-PEG prolactin concentrations was 3.3%, 8.8% and 7.8%, respectively. Raising the cut-off value from the upper limit of the manufacturer’s reference interval to 32.9 μg/L does not drastically change detected macroprolactinaemia with recovery criteria. Post-PEG prolactin concentrations showed more than half of the patients with macroprolactinaemia would be overlooked. Regardless of the criteria, a cut-off of 47.0 μg/L would miss most of the macroprolactinaemic patients. Repeated recovery measurements of follow-up patients showed there is a significant difference with mean absolute bias of 9%.Conclusions: Post-PEG prolactin concentration with corresponding reference interval is the most suitable way of reporting results. All samples with prolactin concentration above the upper limit of the manufacturer’s reference interval should be submitted to PEG precipitation. Follow-up period could be prolonged since the difference between the recoveries of repeated measurements is not clinically significant. | ||
| 653 | 0 | |a Prolaktin |a Hiperprolaktinemija |a Makroprolaktin |a Polietilen glikol | |
| 700 | 1 | |a Bokulić, Adriana |4 aut | |
| 700 | 1 | |a Marijančević, Domagoj |4 aut | |
| 700 | 1 | |a Zec, Ivana, |c liječnica |4 aut | |
| 773 | 0 | |t Biochemia medica (Online) |x 1846-7482 |g 29 (2019), 2 ; str. 346-351 |w nsk.(HR-ZaNSK)000655372 | |
| 981 | |b Be2019 |b B04/19 | ||
| 998 | |b dalo2009 | ||
| 856 | 4 | 0 | |u https://doi.org/10.11613/BM.2019.020706 |
| 856 | 4 | 0 | |u https://www.biochemia-medica.com/en/journal/29/2/10.11613/BM.2019.020706 |y Biochemia medica (Online) |
| 856 | 4 | 1 | |y Digitalna.nsk.hr |
| 856 | 4 | 0 | |u https://hrcak.srce.hr/221078 |y Hrčak |