Haemoglobin trajectories in chronic kidney disease and risk of major adverse cardiovascular events.
anaemia
haemoglobin
joint latent linear mixed model
major adverse cardiovascular events
trajectories
Journal
Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association
ISSN: 1460-2385
Titre abrégé: Nephrol Dial Transplant
Pays: England
ID NLM: 8706402
Informations de publication
Date de publication:
03 Nov 2023
03 Nov 2023
Historique:
medline:
8
11
2023
pubmed:
8
11
2023
entrez:
7
11
2023
Statut:
aheadofprint
Résumé
Trajectories of haemoglobin in patients with chronic kidney disease (CKD) have been poorly described. In such patients, we aimed to identify typical haemoglobin trajectory profiles and estimate their risks of major adverse cardiovascular events (MACE). We used 5-year longitudinal data from the CKD-REIN cohort patients with moderate to severe CKD enrolled from 40 nationally representative nephrology clinics in France. A joint latent class model was used to estimate, in different classes of haemoglobin trajectory, the competing risks of (i) MACE + defined as the first event among cardiovascular death, non-fatal myocardial infarction, stroke or hospitalization for acute heart failure, (ii) initiation of kidney replacement therapy (KRT), and (iii) non-cardiovascular death. During the follow-up, we gathered 33 874 haemoglobin measurements from 3 011 subjects (median, 10 per patient). We identified five distinct haemoglobin trajectory profiles. The predominant profile (n = 1885, 62.6%) showed an overall stable trajectory and low risks of events. The four other profiles had nonlinear declining trajectories: early strong decline (n = 257, 8.5%), late strong decline (n = 75, 2.5%), early moderate decline (n = 356, 11.8%) and late moderate decline (n = 438, 14.6%). The four profiles had different risks of MACE, while the risks of KRT and non-cardiovascular death consistently increased from the haemoglobin decline. In this study, we observed that two third of patients had stable haemoglobin trajectory and low risks of adverse events. The other third had a nonlinear trajectory declining at different rates, with increased risks of events. A better attention to dynamic changes of haemoglobin in CKD should be paid.
Sections du résumé
BACKGROUND
BACKGROUND
Trajectories of haemoglobin in patients with chronic kidney disease (CKD) have been poorly described. In such patients, we aimed to identify typical haemoglobin trajectory profiles and estimate their risks of major adverse cardiovascular events (MACE).
METHODS
METHODS
We used 5-year longitudinal data from the CKD-REIN cohort patients with moderate to severe CKD enrolled from 40 nationally representative nephrology clinics in France. A joint latent class model was used to estimate, in different classes of haemoglobin trajectory, the competing risks of (i) MACE + defined as the first event among cardiovascular death, non-fatal myocardial infarction, stroke or hospitalization for acute heart failure, (ii) initiation of kidney replacement therapy (KRT), and (iii) non-cardiovascular death.
RESULTS
RESULTS
During the follow-up, we gathered 33 874 haemoglobin measurements from 3 011 subjects (median, 10 per patient). We identified five distinct haemoglobin trajectory profiles. The predominant profile (n = 1885, 62.6%) showed an overall stable trajectory and low risks of events. The four other profiles had nonlinear declining trajectories: early strong decline (n = 257, 8.5%), late strong decline (n = 75, 2.5%), early moderate decline (n = 356, 11.8%) and late moderate decline (n = 438, 14.6%). The four profiles had different risks of MACE, while the risks of KRT and non-cardiovascular death consistently increased from the haemoglobin decline.
CONCLUSION
CONCLUSIONS
In this study, we observed that two third of patients had stable haemoglobin trajectory and low risks of adverse events. The other third had a nonlinear trajectory declining at different rates, with increased risks of events. A better attention to dynamic changes of haemoglobin in CKD should be paid.
Identifiants
pubmed: 37935529
pii: 7342465
doi: 10.1093/ndt/gfad235
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Investigateurs
Natalia Alencar De Pinho
(NA)
Christian Combe
(C)
Denis Fouque
(D)
Luc Frimat
(L)
Aghilès Hamroun
(A)
Christian Jacquelinet
(C)
Maurice Laville
(M)
Sophie Liabeuf
(S)
Ziad A Massy
(ZA)
Christophe Pascal
(C)
Roberto Pecoits-Filho
(R)
Bénédicte Stengel
(B)
Céline Lange
(C)
Oriane Lambert
(O)
Marie Metzger
(M)
Informations de copyright
© The Author(s) 2023. Published by Oxford University Press on behalf of the ERA.