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Ejection fraction (EF) is still widely used to categorize heart failure (HF) patients but has limitations. Global longitudinal strain (GLS) has emerged as a new prognosticator in HF, independent of EF.We investigated the incremental predictive benefit of GLS over different risk profiles as identified by automated cluster analysis of simple echocardiographic parameters.In 797 HFrEF patients (age 66 ± 12y; mean EF 30 ± 7%), unsupervised cluster analysis of 10 routine echocardiographic variables (without GLS) was performed. Median follow-up was 37 months. End-point was all-cause mortality. Association between risk profiles, GLS, and mortality was assessed by Cox proportional-hazard modeling with interaction term. Cluster analysis allocated patients to 3 different risk phenogroups (PG): PG-1 (mild diastolic dysfunction [DD], moderate systolic dysfunction, no pulmonary hypertension, normal right ventricular [RV] function); PG-2 (moderate DD, mild pulmonary hypertension, normal RV function); PG-3 (severe DD, advanced systolic dysfunction, pulmonary hypertension, RV dysfunction). Compared to PG-1, PG-2 and PG-3 showed increased adjusted-hazard ratio (1.71; 95% CI:1.05-2.77, P = 0.30; and 2.58; 95% CI:1.50-4.44, P 0.001, respectively). GLS was independently associated with outcome in the whole population (adjusted-HR: 1.11; 95% CI: 1.05-1.17, P = 0.001); however, profile membership modified the relationship between GLS and outcome which was no longer significant in PG-3 (P for interaction = 0.003).Within HFrEF populations, clustering of routine echocardiography parameters can automatically identify patients with different risk profiles; further assessment by GLS may be useful for patients with not advanced disease.

Background Increased red blood cell distribution width (RDW) has been associated with poor outcome after cardiac resynchronization therapy (CRT). However, whether baseline RDW, and its serial changes after CRT implant, have incremental prognostic value is unknown. Methods and results In 148 consecutive patients (age, 68±9years; 122 men) undergoing CRT, RDW was assessed before and 3months after implant. Patients were categorized according to baseline RDW (≤14.5% vs >14.5%); and as "stable", "decreased", "increased", relative to post-implant changes. Primary end-point was a composite of death/HF hospitalization during follow-up (median 21months). A reduction in left ventricular (LV) end-systolic volume by ≥15% at 6-month identified LV reverse remodeling. By multivariable logistic regression analysis "increased" (OR:0.22, 95%CI: 0.07-0.69, P =0.010) and "stable-high" RDW at follow-up (OR: 0.39, 95%CI: 0.17–0.89, P =0.027) showed a lower likelihood to develop LV reverse remodeling, while baseline RDW was no longer predictive of LV remodeling. During follow-up, there were 57 events. Baseline RDW>14.5% (HR: 2.24, 95%CI: 1.05–4.77, P =0.036), "increased" (HR: 2.55, 95% CI: 1.09–5.97, P =0.030) and "stable-high" RDW (HR: 2.95, 95% CI: 1.45–5.99, P =0.003) independently predicted outcome after adjusting for functional improvement after CRT, radial dyssynchrony, BNP, creatinine clearance, and left atrial volume index. However, integrated discrimination improvement and net reclassification improvement were not statistically significant when both baseline RDW and its changes were added to a base predictive model. Conclusion Increased and stable-high values of RDW were independently associated with both LV reverse remodeling and outcome after CRT; however, RDW did not show any incremental predictive value.

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