Increased risk of end-stage kidney disease in patients with chronic kidney disease and heart failure with reduced ejection fraction.

The prevalence of heart failure (HF) is more common in people with advanced non-dialysis chronic kidney disease (ND-CKD). It is well known that HF with reduced ejection fraction (HFrEF) is associated with a higher risk of mortality in people with ND-CKD compared to the general population. However, the impact of HFrEF on progression into end-stage kidney disease (ESKD) is not well studied. Our study aimed to examine the independent association of HFrEF on progression to ESKD after correcting for confounding factors using two methods of propensity scoring. This study used data from the Salford Kidney Study, a longitudinal study which has recruited more than 3000 patients with ND-CKD since 2002. Patients without a history of HF during the recruitment questionnaire were included in the control group. Patients with a reported history of HF and echo showing left ventricular ejection fraction <40% at enrolment were included in the HFrEF group. Two propensity score methods were used to attenuate the effects of confounding factors between the two groups - propensity score matching (PSM) and inverse probability weighting (IPW). Univariate and multivariate Cox regression analyses were performed. A total of 2383 patients were included in the analysis. Patients with HFrEF had significantly higher median age and a higher percentage of male gender compared to patients with no HF (72.5 vs 66.6 years and 71.8% vs 61.1% respectively). Univariate and 5 models of multivariate Cox regression analysis showed that HFrEF in people with CKD was a strong predictor for a higher incidence of ESKD (model 5: HR 1.38; 95% CI = 1.01-1.90; p = 0.044). The association between HFrEF and the risk of ESKD remained significant after using the PSM and the IPW methods. Patients with concomitant advanced ND-CKD and prevalent HFrEF were found to have a higher risk of ESKD when compared to patients with no HF. This risk persists despite the adjustment of confounding factors using PSM and IPW.

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The Author(s). Published by S. Karger AG, Basel.