Chest X-ray quantification of admission lung congestion as a prognostic factor in patients admitted for worsening heart failure from the ICALOR cohort study

Introduction: Chest X-ray (CXR) widely used, but the prognostic value of congestion quantification using CXR remains uncertain. The main objective of the present study was to assess whether initial quantification of lung congestion evaluated by CXR [and its interplay with estimated plasma volume status (ePVS)] in patients with worsening heart failure (WHF) is associated with in-hospital and short-term clinical outcome. Methods: We studied 117 patients hospitalized for WHF in the ICALOR HF disease management program. Pulmonary congestion was estimated using congestion score index (CSI, range 0 to 3) evaluated from 6 lung areas on CXR. Systemic congestion was assessed by ePVS. Logistic regression analysis was used to assess length of stay and the composite of all-cause death or HF re-hospitalization at 90 days. Results: Patients were divided according to the median of admission CSI (median = 2.20) and ePVS (median = 5.38). Higher CSI was significantly associated with higher pulmonary arterial systolic pressure in multivariable models. Multivariable models showed patients with high CSI/high ePVS had a 6-day longer length of stay [OR (95% CI) = 6.78 (1.82-29.79), p < 0.01] and 5-fold higher risk of 90-day composite outcome [OR (95% CI) = 5.13 (1.26-25.11) p = 0.03] compared to patients with low CSI/low ePVS, while other configurations (either isolated high CSI or high ePVS) yielded neutral associations. Furthermore, CSI and ePVS significantly improved reclassification on top of clinical covariates for the composite outcome [Net reclassification index = 37.3% (0.52-87.0), p = 0.046]. Conclusion: An admission assessment of pulmonary and systemic congestion in WHF patients using CSI and ePVS can identify a cluster of high-risk patients at short-term outcomes. (C) 2019 Elsevier B.V. All rights reserved.