Unbalanced circulating Humanin levels and cardiovascular risk in chronic hemodialysis patients: a pilot, prospective study.

Biomarker Cardiovascular risk End-stage kidney disease Hemodialysis Humanin

Journal

Journal of nephrology
ISSN: 1724-6059
Titre abrégé: J Nephrol
Pays: Italy
ID NLM: 9012268

Informations de publication

Date de publication:
05 Aug 2024
Historique:
received: 07 05 2024
accepted: 10 07 2024
medline: 5 8 2024
pubmed: 5 8 2024
entrez: 5 8 2024
Statut: aheadofprint

Résumé

Mortality and cardiovascular (CV) risk prediction in individuals with end-stage kidney disease (ESKD) on chronic hemodialysis (HD) remains challenging due to the multitude of implicated factors. In a multicenter ESKD-HD cohort, we tested the prognostic yield of the assessment of circulating Humanin, a small mitochondrial-derived peptide involved in CV protection, on CV events and mortality. We conducted a prospective, observational, pilot study on 94 prevalent HD patients. The prognostic capacity of circulating Humanin levels was tested on a primary composite (all-cause mortality + non-fatal CV events) and a secondary exploratory endpoint (all-cause mortality alone). Baseline Humanin level was comparable in patients reaching the primary or secondary endpoint as compared to others (p = 0.69 and 0.76, respectively). Unadjusted followed by multivariable Cox regression analyses adjusted for age, left ventricular mass index (LVMi), E/e', pulse pressure and diabetes mellitus indicated a non-linear relationship between Humanin levels and the composite outcome with the highest Hazard Ratio (HR) associated with very low (< 450.7 pg/mL; HR ranging from 4.25 to 2.49) and very high (> 759.5 pg/mL; HR ranging from 5.84 to 4.50) Humanin values. Restricted cubic splines fitting univariate and multivariate Cox regression analyses visually confirmed a curvilinear trend with an increasing risk observed for lower and higher Humanin values around the median, respectively. A similar, u-shaped association was also evidenced with the secondary endpoint. Altered Humanin levels may impart prognostic information in ESKD-HD patients at risk of death or CV events. Future investigations are needed to confirm whether Humanin measurement could improve CV and mortality risk prediction beyond traditional risk models.

Sections du résumé

BACKGROUND BACKGROUND
Mortality and cardiovascular (CV) risk prediction in individuals with end-stage kidney disease (ESKD) on chronic hemodialysis (HD) remains challenging due to the multitude of implicated factors. In a multicenter ESKD-HD cohort, we tested the prognostic yield of the assessment of circulating Humanin, a small mitochondrial-derived peptide involved in CV protection, on CV events and mortality.
METHODS METHODS
We conducted a prospective, observational, pilot study on 94 prevalent HD patients. The prognostic capacity of circulating Humanin levels was tested on a primary composite (all-cause mortality + non-fatal CV events) and a secondary exploratory endpoint (all-cause mortality alone).
RESULTS RESULTS
Baseline Humanin level was comparable in patients reaching the primary or secondary endpoint as compared to others (p = 0.69 and 0.76, respectively). Unadjusted followed by multivariable Cox regression analyses adjusted for age, left ventricular mass index (LVMi), E/e', pulse pressure and diabetes mellitus indicated a non-linear relationship between Humanin levels and the composite outcome with the highest Hazard Ratio (HR) associated with very low (< 450.7 pg/mL; HR ranging from 4.25 to 2.49) and very high (> 759.5 pg/mL; HR ranging from 5.84 to 4.50) Humanin values. Restricted cubic splines fitting univariate and multivariate Cox regression analyses visually confirmed a curvilinear trend with an increasing risk observed for lower and higher Humanin values around the median, respectively. A similar, u-shaped association was also evidenced with the secondary endpoint.
CONCLUSIONS CONCLUSIONS
Altered Humanin levels may impart prognostic information in ESKD-HD patients at risk of death or CV events. Future investigations are needed to confirm whether Humanin measurement could improve CV and mortality risk prediction beyond traditional risk models.

Identifiants

pubmed: 39102184
doi: 10.1007/s40620-024-02032-4
pii: 10.1007/s40620-024-02032-4
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024. The Author(s).

Références

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Auteurs

Davide Bolignano (D)

Nephrology and Dialysis Unit, Magna Graecia University, Catanzaro, Italy. davide.bolignano@gmail.com.
Department of Medical and Surgical Sciences-Renal Unit, University "Magna Graecia", Campus Salvatore Venuta, Viale Europa, 88100, Catanzaro, Italy. davide.bolignano@gmail.com.

Marta Greco (M)

Department of Health Sciences, Magna Graecia University, Catanzaro, Italy.
Clinical Pathology Lab, Magna Graecia University, Catanzaro, Italy.

Pierangela Presta (P)

Nephrology and Dialysis Unit, Magna Graecia University, Catanzaro, Italy.

Anila Duni (A)

Department of Nephrology, School of Medicine, University of Ioannina, Ioannina, Greece.

Mariateresa Zicarelli (M)

Department of Health Sciences, Magna Graecia University, Catanzaro, Italy.

Simone Mercuri (S)

Nephrology and Dialysis Unit, Magna Graecia University, Catanzaro, Italy.

Efthymios Pappas (E)

Hemodialysis Unit, General Hospital of Filiates, Filiates, Greece.

Lampros Lakkas (L)

Physiology Department, Faculty of Medicine, School of Health Sciences, University of Ioannina, Ioannina, Greece.

Michela Musolino (M)

Nephrology and Dialysis Unit, Magna Graecia University, Catanzaro, Italy.
Department of Health Sciences, Magna Graecia University, Catanzaro, Italy.

Katerina K Naka (KK)

Second Department of Cardiology, University Hospital of Ioannina, Ioannina, Greece.

Sara Pugliese (S)

Nephrology and Dialysis Unit, Magna Graecia University, Catanzaro, Italy.

Roberta Misiti (R)

Department of Health Sciences, Magna Graecia University, Catanzaro, Italy.
Clinical Pathology Lab, Magna Graecia University, Catanzaro, Italy.

Daniela Patrizia Foti (DP)

Clinical Pathology Lab, Magna Graecia University, Catanzaro, Italy.
Experimental and Clinical Medicine, Magna Graecia University, Catanzaro, Italy.

Michele Andreucci (M)

Nephrology and Dialysis Unit, Magna Graecia University, Catanzaro, Italy.
Department of Health Sciences, Magna Graecia University, Catanzaro, Italy.

Giuseppe Coppolino (G)

Nephrology and Dialysis Unit, Magna Graecia University, Catanzaro, Italy.
Department of Health Sciences, Magna Graecia University, Catanzaro, Italy.

Evangelia Dounousi (E)

Department of Nephrology, School of Medicine, University of Ioannina, Ioannina, Greece.

Classifications MeSH