Red cell distribution width predicts mortality in infective endocarditis

Autor: Lale Dinc Asarcikli, Gizem Çabuk, Esra Gucuk Ipek, Habibe Kafes, Ümit Güray, Mehmet Yilmaz, Yesim Guray, Burcu Demirkan
Přispěvatelé: [Guray, Yesim -- Ipek, Esra Gucuk -- Guray, Umit -- Demirkan, Burcu -- Kafes, Habibe -- Asarcikli, Late Dinc -- Cabuk, Gizem] Yuksek Ihtisas Educ & Res Hosp, Dept Cardiol, Ankara, Turkey -- [Yilmaz, Mehmet Birhan] Cumhuriyet Univ, Fac Med, Dept Cardiol, Sivas, Turkey, YILMAZ, MEHMET BIRHAN -- 0000-0002-8169-8628, YILMAZ, Mehmet Birhan -- 0000-0002-8169-8628
Jazyk: angličtina
Rok vydání: 2014
Předmět:
Adult
Erythrocyte Indices
Male
medicine.medical_specialty
Prosthesis-Related Infections
Turkey
Red cell distribution width
Suivi
Kaplan-Meier Estimate
Tertiary Care Centers
Postoperative Complications
Risk Factors
Internal medicine
medicine
Humans
Endocardite infectieuse
Aged
Proportional Hazards Models
Retrospective Studies
Outcome
Receiver operating characteristic
business.industry
Hazard ratio
Hemodynamics
Area under the curve
Anemia
Red blood cell distribution width
Endocarditis
Bacterial
General Medicine
Middle Aged
Prognosis
medicine.disease
Distribution érythrocytaire
Confidence interval
Surgery
ROC Curve
Cardiovascular Diseases
Area Under Curve
Heart Valve Prosthesis
Infective endocarditis
Heart failure
Cardiology
Kidney Failure
Chronic
Biomarker (medicine)
Female
Cardiology and Cardiovascular Medicine
business
Follow-Up Studies
Popis: WOS: 000338901900004
PubMed ID: 24923758
Background. - Infective endocarditis (IE) is associated with significant morbidity and mortality. Red cell distribution width (RDW) is a recently recognized biomarker of adverse outcome in a number of acute and chronic conditions. Aim. - To investigate the relationship between RDW and 1-year survival in patients with IE. Methods. - Clinical records from two tertiary centres were used to analyze data from patients with definite IE. Clinical, echocardiographic and biochemical variables were evaluated along with RDW. One-year survival status after index hospitalization was identified for each patient. Results. - One hundred consecutive patients (mean age 47.8 +/- 16.7 years; 61% men) with definite IE were enrolled. According to receiver operating characteristic curve analysis, the optimal RDW cut-off value for predicting mortality was 15.3% (area under the curve 0.70; P=0.001). Forty-one patients (41%) died within 1 year; of these, 88% had ROW results > 15.3%. Univariate Cox proportional-hazards analysis showed that RDW > 15.3%, heart failure, renal failure, cardiac abscess, severe valvular regurgitation and presence of dehiscence were associated with increased mortality. Multivariable Cox proportional-hazards analysis revealed that renal failure (hazard ratio [HR] 3.21, 95% confidence interval [CI] 1.35-7.59; P = 0.008), heart failure (HR 2.77, 95% CI 1.1-6.97; P = 0.03) and RDW > 15.3% (HR 3.07, 95% CI 1.06-8.86; P = 0.03) were independent predictors of mortality in patients with IE. Conclusion. - According to our results, mortality is high in patients with IE. RDW is a promising biomarker for predicting 1-year survival rates in these patients. (C) 2014 Published by Elsevier Masson SAS.
Databáze: OpenAIRE
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