Glomerular filtration rate early after liver transplantation independently predicts atherosclerotic events.
Ramzi HassounehSamarth PatelSteve ShenAnh T BuiTaseen SyedSean FlynnVaishali PatelMark Dhinesh MuthiahAmit SharmaChandra BhatiMohammad Shadab SiddiquiPublished in: Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society (2022)
Cardiovascular disease (CVD) is an important cause of mortality among liver transplantation (LT) recipients; however, the data on CVD risk stratification following LT are limited. Thus, the primary aim of this study was to evaluate the association between decline in renal function early after LT and atherosclerotic events. This retrospective study included all patients receiving LT between 2007 and 2019. Early renal function was quantified as estimated glomerular filtration rate (GFR) 6 months after LT. The primary endpoint for the study was a composite atherosclerotic cardiovascular event of three-point major adverse cardiovascular events (MACEs), which includes nonfatal myocardial infarction (MI), nonfatal stroke, or death from CVD. A total of 553 LT recipients met entry criteria. After a median follow-up of 74 months (interquartile range 46-111), 94 (17%) LT recipients died and CVD-associated death occurred in 20 patients. MACE-3 occurred in 66 (12%) patients, with nonfatal MI being the most common event (n = 30). A strong inverse relationship between early GFR and MACE-3 was noted in unadjusted analysis with hazard ratio (HR) 0.96 (95% confidence interval [CI] 0.95-0.98; p = 0.0001) and remained significant even after accounting for age, sex, coronary artery disease, diabetes mellitus, hypertension, calcineurin inhibitor use, and Framingham Risk Score (FRS; HR 0.96, 95% CI 0.95-0.97; p = 0.0001 per unit increase in GFR). Furthermore, an independent interaction between GFR, FRS, and likelihood of developing an MACE-3 was noted. GFR 6 months following LT is a strong predictor of developing atherosclerotic events. This relationship is independent of traditional CVD risk stratification models (e.g. FRS) and thus has the potential to be incorporated into CVD risk assessment after LT but requires further validation.
Keyphrases
- cardiovascular events
- coronary artery disease
- cardiovascular disease
- risk assessment
- end stage renal disease
- type diabetes
- blood pressure
- ejection fraction
- heart failure
- human health
- chronic kidney disease
- kidney transplantation
- emergency department
- machine learning
- peritoneal dialysis
- metabolic syndrome
- risk factors
- prognostic factors
- weight loss
- brain injury
- patient reported outcomes
- data analysis
- aortic stenosis
- arterial hypertension