Predictive Value of Collagen Biomarkers in Advanced Chronic Kidney Disease Patients

Author:

Ureche Carina12ORCID,Dodi Gianina3ORCID,Șerban Adela Mihaela4,Covic Andreea Simona15,Voroneanu Luminița15,Hogaș Simona15,Sascău Radu Andy12,Stătescu Cristian12ORCID,Covic Adrian1567ORCID

Affiliation:

1. Department of Internal Medicine, Faculty of Medicine, “Grigore T Popa” University of Medicine and Pharmacy, University Street nr 16, 700115 Iasi, Romania

2. Prof. Dr. George I.M. Georgescu Institute of Cardiovascular Diseases, 700503 Iasi, Romania

3. Biomedical Sciences Department, Faculty of Medical Bioengineering and Advanced Research and Development Center for Experimental Medicine, Grigore T. Popa University of Medicine and Pharmacy of Iasi, 9-13 Kogalniceanu Street, 700454 Iasi, Romania

4. Niculae Stancioiu Heart Institute, Iuliu Hatieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania

5. Nephrology Clinic, Dialysis, Renal Transplant Center, .I. Parhon University Hospital, 700503 Iasi, Romania

6. Academy of Romanian Scientists, 050044 Bucharest, Romania

7. Academy of Medical Sciences, 020125 Bucharest, Romania

Abstract

Patients with chronic kidney disease have an increased risk of all-cause death. The value of collagen biomarkers such as procollagen type I carboxy-terminal propeptide (PICP) and procollagen type III N-terminal peptide (P3NP), in end-stage renal disease (ESRD), has not yet been defined (in the literature and in clinics). The purpose of this study was to determine the potential value of these new biomarkers in the prediction of mortality in this population. Plasma PICP and P3NP levels were determined in 140 patients with ESRD, not yet on dialysis, who were followed up for 36 ± 5.3 months. During follow-up, 58 deaths were recorded (41.4%), with the majority of them being cardiovascular deaths (43, 74.13%). Using the ROC curve, the cut-off value for the prediction of mortality for PICP was 297.31 µg/L, while for P3NP, the cut-off value was 126.67 µg/L. In univariate analysis, a value of PICP above the cut-off point was associated with a fivefold increased risk of mortality (hazard ratio (HR) 5.071, 95% confidence interval 1.935–13.29, p = 0.001) and a value of P3NP above the cut-off point was associated with a twofold increased risk of mortality (HR 2.089, 95% CI 1.044–4.178, p = 0.002). In a multivariable Cox proportional hazards model, PICP values remained independent predictors of mortality (HR 1.22, 95% CI 1.1–1.31, p < 0.0001). Our data suggest that the collagen biomarker PICP is an independent predictor of mortality in ESRD patients who are not yet on dialysis.

Funder

Ministry of Research and Innovation, CNCS-UEFISCDI

CENEMED

OBDIA-NET

European Social Fund-the Human Capital Operational Programme

Publisher

MDPI AG

Subject

Molecular Biology,Biochemistry

Reference45 articles.

1. GBD Chronic Kidney Disease Collaboration (2020). Global, regional, and national burden of chronic kidney disease, 1990–2017: A systematic analysis for the Global Burden of Disease Study 2017. Lancet, 395, 709–733.

2. United States Renal Data System (2022). 2022 USRDS Annual Data Report: Epidemiology of Kidney Disease in the United States, National Institute of Diabetes and Digestive and Kidney Diseases.

3. C-reactive protein is a strong predictor of mortality in hemodialysis patients;Racki;Ren. Fail.,2006

4. Prognostic value of cardiac troponin in patients with chronic kidney disease without suspected acute coronary syndrome: A systematic review and meta-analysis;Michos;Ann. Intern. Med.,2014

5. NT-proBNP, fluid volume overload and dialysis modality are independent predictors of mortality in ESRD patients;Paniagua;Nephrol. Dial. Transplant.,2010

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