Please cite this article as: JI RQ, WANG B, ZHANG JG, SU SH, LI L, YU Q, JIANG XY, FU X, FANG XH, MA XW, TIAN A, LI J. Independent prognostic value of the congestion and renal index in patients with acute heart failure. J Geriatr Cardiol 2023; 20(7): 516−526. DOI: 10.26599/1671-5411.2023.07.006.
Citation: Please cite this article as: JI RQ, WANG B, ZHANG JG, SU SH, LI L, YU Q, JIANG XY, FU X, FANG XH, MA XW, TIAN A, LI J. Independent prognostic value of the congestion and renal index in patients with acute heart failure. J Geriatr Cardiol 2023; 20(7): 516−526. DOI: 10.26599/1671-5411.2023.07.006.

Independent prognostic value of the congestion and renal index in patients with acute heart failure

  •  BACKGROUND Clinical outcomes are poor if patients with acute heart failure (AHF) are discharged with residual congestion in the presence of renal dysfunction. However, there is no single indication to reflect the combined effects of the two related pathophysiological processes. We, therefore, proposed an indicator, congestion and renal index (CRI), and examined the associations between the CRI and one-year outcomes and the incremental prognostic value of CRI compared with the established scoring systems in a multicenter prospective cohort of AHF.
     METHODS We enrolled AHF patients and calculated the ratio of thoracic fluid content index divided by estimated glomerular filtration rate before discharge, as CRI. Then we examined the associations between CRI and one-year outcomes.
     RESULTS A total of 944 patients were included in the analysis (mean age 63.3 ± 13.8 years, 39.3% women). Compared with patients with CRI ≤ 0.59 mL/min per kΩ, those with CRI > 0.59 mL/min per kΩ had higher risks of cardiovascular death or HF hospitalization (HR = 1.56 1.13–2.15) and all-cause death or all-cause hospitalization (HR = 1.33 1.01–1.74). CRI had an incremental prognostic value compared with the established scoring system.
     CONCLUSIONS In patients with AHF, CRI is independently associated with the risk of death or hospitalization within one year, and improves the risk stratification of the established risk models.
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