Proenkephalin and risk of developing chronic kidney disease: the Prevention of Renal and Vascular End-stage Disease study

Proenkephalin (pro-ENK) was recently found to be associated with low estimated glomerular filtration rate (eGFR). The association of pro-ENK with urinary albumin excretion (UAE), another marker for chronic kidney disease (CKD), has not been investigated. We examined the association of pro-ENK with e...

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Published inBiomarkers Vol. 23; no. 5; pp. 474 - 482
Main Authors Kieneker, Lyanne M., Hartmann, Oliver, Bergmann, Andreas, de Boer, Rudolf A., Gansevoort, Ron T., Joosten, Michel M., Struck, Joachim, Bakker, Stephan J. L.
Format Journal Article
LanguageEnglish
Published England 04.07.2018
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ISSN1354-750X
1366-5804
1366-5804
DOI10.1080/1354750X.2018.1443514

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Summary:Proenkephalin (pro-ENK) was recently found to be associated with low estimated glomerular filtration rate (eGFR). The association of pro-ENK with urinary albumin excretion (UAE), another marker for chronic kidney disease (CKD), has not been investigated. We examined the association of pro-ENK with eGFR and UAE as markers of CKD. We included 4375 subjects of the Prevention of Renal and Vascular End-Stage Disease (PREVEND) study. CKD was defined as development of eGFR <60 ml/min/1.73 m and CKD as albuminuria >30 mg/24 h. Baseline median pro-ENK was 52.2 (IQR: 44.9-60.5) pmol/L. After a median follow-up of 8.4 (IQR: 7.9-8.9) years, 183 subjects developed CKD and 371 developed CKD . The association of pro-ENK with CKD was modified by sex (P  < 0.1), in such a way that after adjustment, the association only remained significant in men (adjusted hazard ratio per SD increase in log-transformed pro-ENK, 1.65; 95% CI: 1.15-2.36) and not in women (0.83; 0.58-1.20). No significant association was observed between pro-ENK and CKD risk (0.83; 0.58-1.20). High pro-ENK is associated with increased risk of CKD in men, but not in women. No association of pro-ENK with CKD was observed. These results should be interpreted with caution, since residual confounding and potential overfitting of models could have influenced the results.
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ISSN:1354-750X
1366-5804
1366-5804
DOI:10.1080/1354750X.2018.1443514