SynthesisIndian heart journal
Quantification of residual pulmonary congestion defined by B-line findings on lung ultrasound to predict cardiovascular events in acute heart failure: A systematic review and meta analysis.
Synthesis in Indian heart journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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5 authors.
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Abstract
backgroundPulmonary congestion detected by lung ultrasound (LUS) has emerged as a valuable prognostic marker in acute heart failure (AHF). This systematic review and meta-analysis aimed to evaluate the prognostic significance of residual B-lines identified by LUS before hospital discharge.
methodsA comprehensive literature search of PubMed, Cochrane Library, ScienceDirect, and ClinicalTrials.gov was conducted up to October 4, 2024. Studies assessing the association between residual B-lines and adverse clinical outcomes in hospitalized AHF patients were included, while studies involving ambulatory assessments were excluded. The primary outcome was a composite of all-cause mortality and heart failure (HF) rehospitalization. Secondary outcomes included all-cause mortality and HF rehospitalization individually. Pooled hazard ratios (HRs) with 95 % confidence intervals (CIs) were calculated.
resultsFifteen studies were included. Residual B-lines were significantly associated with an increased risk of composite outcomes (HR: 2.32; 95 % CI: 1.91-2.82), all-cause mortality (HR: 3.01; 95 % CI: 1.91-4.73), and HF readmission or cardiovascular events (HR: 4.01; 95 % CI: 2.22-7.24). Risk increased with greater B-line burden. Prognostic impact was stronger in short-term follow-up (<6 months; HR: 3.57) than in longer-term follow-up (≥6 months; HR: 1.96).
conclusionsResidual pulmonary congestion assessed by LUS at discharge is a strong independent predictor of adverse outcomes and may guide therapy decisions in AHF management.
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