Literature DB >> 30137516

Association between circulating proprotein convertase subtilisin/kexin type 9 levels and prognosis in patients with severe chronic kidney disease.

Laust Dupont Rasmussen1, Morten Bøttcher1, Per Ivarsen2, Hanne Skou Jørgensen2, Mette Nyegaard3, Henriette Buttenschøn4, Camilla Gustafsen3, Simon Glerup3, Hans Erik Bøtker5, My Svensson6,7, Simon Winther5.   

Abstract

BACKGROUND: Chronic kidney disease is a risk factor for premature development of coronary atherosclerosis and mortality. A high level of proprotein convertase subtilisin/kexin type 9 (PCSK9) is a recently recognized cardiovascular risk factor and has become the target of effective inhibitory treatment. In 167 kidney transplantation candidates, we aimed to: (i) compare levels of PCSK9 with those of healthy controls, (ii) examine the association between levels of PCSK9 and low-density lipoprotein cholesterol (LDL-c) and the degree of coronary artery disease (CAD) and (iii) evaluate if levels of PCSK9 predict major adverse cardiac events (MACE) and mortality.
METHODS: Kidney transplant candidates (n = 167) underwent coronary computed tomography angiography (CCTA) and invasive coronary angiography (ICA) before transplantation. MACE and mortality data were extracted from the Western Denmark Heart Registry, a review of patient records and patient interviews. A group of 79 healthy subjects were used as controls.
RESULTS: Mean PCSK9 levels did not differ between healthy controls and kidney transplant candidates. In patients not receiving lipid-lowering therapy, PCSK9 correlated positively with LDL-c (rho = 0.24, P < 0.05). Mean PCSK9 was similar in patients with and without obstructive CAD at both CCTA and ICA. In a multiple regression analysis, PCSK9 was associated with neither LDL-c (β=-6.45, P = 0.44) nor coronary artery calcium score (β=2.17, P = 0.84). During a follow-up of 3.7 years, PCSK9 levels were not associated with either MACE or mortality.
CONCLUSIONS: The ability of PCSK9 levels to predict cardiovascular disease and prognosis does not seem to apply to a cohort of kidney transplant candidates.
© The Author(s) 2018. Published by Oxford University Press on behalf of ERA-EDTA. All rights reserved.

Entities:  

Keywords:  PCSK9; coronary artery disease; kidney transplant candidates; low-density lipoprotein cholesterol; major adverse cardiac events

Year:  2020        PMID: 30137516     DOI: 10.1093/ndt/gfy257

Source DB:  PubMed          Journal:  Nephrol Dial Transplant        ISSN: 0931-0509            Impact factor:   5.992


  4 in total

1.  PCSK9 and Cardiovascular Disease in Individuals with Moderately Decreased Kidney Function.

Authors:  Azin Kheirkhah; Claudia Lamina; Barbara Kollerits; Johanna F Schachtl-Riess; Ulla T Schultheiss; Lukas Forer; Peggy Sekula; Fruzsina Kotsis; Kai-Uwe Eckardt; Florian Kronenberg
Journal:  Clin J Am Soc Nephrol       Date:  2022-04-06       Impact factor: 10.614

2.  Association Between Circulating Proprotein Convertase Subtilisin/Kexin Type 9 and Major Adverse Cardiovascular Events, Stroke, and All-Cause Mortality: Systemic Review and Meta-Analysis.

Authors:  Yimo Zhou; Weiqi Chen; Meng Lu; Yongjun Wang
Journal:  Front Cardiovasc Med       Date:  2021-03-02

3.  Circulating Proprotein Convertase Subtilisin/Kexin type 9 level independently predicts incident cardiovascular events and all-cause mortality in hemodialysis black Africans patients.

Authors:  François-Pantaléon Musungayi Kajingulu; François Bompeka Lepira; Aliocha Natuhoyila Nkodila; Jean-Robert Rissassy Makulo; Vieux Momeme Mokoli; Pepe Mfutu Ekulu; Justine Busanga Bukabau; Yannick Mayamba Nlandu; Augustin Luzayadio Longo; Nazaire Mangani Nseka; Laura Labriola; Ernest Kiswaya Sumaili
Journal:  BMC Nephrol       Date:  2022-03-30       Impact factor: 2.388

4.  Circulating PCSK9 Level and Risk of Cardiovascular Events and Death in Hemodialysis Patients.

Authors:  Hyeon Seok Hwang; Jin Sug Kim; Yang Gyun Kim; So-Young Lee; Shin Young Ahn; Hong Joo Lee; Dong-Young Lee; Sang Ho Lee; Ju Young Moon; Kyung Hwan Jeong
Journal:  J Clin Med       Date:  2020-01-17       Impact factor: 4.241

  4 in total

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