Haemoglobin trajectories in chronic kidney disease and risk of major adverse cardiovascular events

医学 狼牙棒 心肌梗塞 肾脏疾病 内科学 队列 心脏病学 冲程(发动机) 心力衰竭 不利影响 疾病 经皮冠状动脉介入治疗 机械工程 工程类
作者
Lisa Le Gall,Jérôme Harambat,Christian Combe,Viviane Philipps,Cécile Proust‐Lima,Maris Dussartre,Tilman B. Drüeke,Gabriel Choukroun,Denis Fouque,Luc Frimat,Christian Jacquelinet,Maurice Laville,Sophie Liabeuf,Roberto Pécoits-Filho,Ziad A. Massy,Bénédicte Stengel,Natália Alencar de Pinho,Karen Leffondré,Mathilde Prézelin-Reydit,Natália Alencar de Pinho,Christian Combe,Denis Fouque,Luc Frimat,Aghilès Hamroun,Christian Jacquelinet,Maurice Laville,Sophie Liabeuf,Ziad A. Massy,Christophe Pascal,Roberto Pécoits-Filho,Bénédicte Stengel,Céline Lange,Oriane Lambert,Marie Metzger
出处
期刊:Nephrology Dialysis Transplantation [Oxford University Press]
卷期号:39 (4): 669-682 被引量:1
标识
DOI:10.1093/ndt/gfad235
摘要

ABSTRACT Background The 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 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 During the follow-up, we gathered 33 874 haemoglobin measurements from 3011 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 In this study, we observed that two-thirds of patients had a 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. Better attention should be paid to dynamic changes of haemoglobin in CKD.
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