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1.
Heart Vessels ; 36(1): 69-75, 2021 Jan.
Article in English | MEDLINE | ID: mdl-32671462

ABSTRACT

The impact of elevated total bilirubin (Tbil) levels on adverse clinical outcomes in patients with acute heart failure (HF) has not been fully established, although liver damage is common among these patients. We therefore examined the associations between Tbil levels at admission and systolic blood pressure (SBP) in patients with acute HF in an emergency setting and to evaluate clinical outcomes related to elevated Tbil, particularly in patients with SBP < 100 mmHg. Clinical data and outcomes in acute HF patients (n = 877) were compared according to Tbil quartiles. SBP values < 100 mmHg were more prevalent among patients in the highest quartile (Tbil ≥ 1.0 mg/dL) vs. others (15.4% vs. 3.1%, p < 0.001). Tbil levels were inversely and significantly correlated with SBP at admission (Spearman's ρ, - 0.243; p < 0.001). Kaplan-Meier estimate survival curves showed that event-free survival was worse among patients in the highest Tbil quartile vs. others (78.5% vs. 90.4%, p < 0.001). When comparing survival rates among patients in SBP < 100 mmHg (n = 50), the difference of survival rate became larger for the patients in the highest quartile (n = 29) vs. others (n = 21) (41.4% vs. 77.7%, p < 0.001). Multivariate Cox proportional hazard analysis showed that Tbil ≥ 1.3 mg/dL, not SBP or B-type natriuretic peptide, independently and significantly predicted cardiac death within 180 days in acute HF patients with SBP < 100 mmHg (hazard ratio 3.74; 95% confidence interval 1.39-10.05; p < 0.001). In conclusion, Tbil levels were inversely correlated with SBP at admission in patients with acute HF. Tbil levels independently predicted the risk of 180-day cardiac mortality, especially in acute HF patients with SBP < 100 mmHg.


Subject(s)
Bilirubin/blood , Blood Pressure/physiology , Heart Failure/physiopathology , Patient Admission , Acute Disease , Aged , Aged, 80 and over , Biomarkers/blood , Female , Follow-Up Studies , Heart Failure/mortality , Humans , Japan/epidemiology , Male , Middle Aged , Prognosis , Retrospective Studies , Survival Rate/trends , Systole
2.
Cardiovasc Ultrasound ; 14(1): 47, 2016 Nov 22.
Article in English | MEDLINE | ID: mdl-27876049

ABSTRACT

BACKGROUND: We investigated the influence of geographical predisposition on the spatial distribution and composition of coronary plaques. METHODS: Thirty coronary arteries were evaluated. A total of 1441 cross-sections were collected from intravascular ultrasound (IVUS) and radio-frequency signal-based virtual histology (VH-IVUS) imaging. To exclude complex geographical effects of side branches and to localise the plaque distribution, we analysed only eccentric plaques in non-branching regions. The spatial distribution of eccentric plaques in the coronary artery was classified into myocardial, lateral, and epicardial regions. The composition of eccentric plaques was analysed using VH-IVUS. RESULTS: The plaque was concentric in 723 sections (50.2%) and eccentric in 718 (49.9%). Eccentric plaques were more frequently distributed towards the myocardial side than towards the epicardial side (46.7 ± 7.5% vs. 12.5 ± 4.2%, p = 0.003). No significant difference was observed between the myocardial and lateral sides (46.7 ± 7.5% vs. 20.8 ± 5.0%) or between the lateral and epicardial sides. Eccentric thin-capped fibroatheromas were more frequently distributed towards the myocardial side than towards the lateral side (p = 0.024) or epicardial side (p = 0.005). CONCLUSION: Geographical predisposition is associated with distribution, tissue characterisation, and vulnerability of plaques in non-branching coronary arteries.


Subject(s)
Coronary Artery Disease/diagnosis , Coronary Vessels/diagnostic imaging , Plaque, Atherosclerotic/diagnosis , Ultrasonography, Interventional/methods , Aged , Coronary Angiography , Coronary Artery Disease/physiopathology , Coronary Vessels/physiopathology , Cross-Sectional Studies , Female , Humans , Male , Plaque, Atherosclerotic/physiopathology , Severity of Illness Index
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