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1.
Int J Cardiovasc Imaging ; 37(6): 1863-1872, 2021 Jun.
Article in English | MEDLINE | ID: mdl-33591474

ABSTRACT

Postoperative atrial fibrillation (POAF) after cardiac surgery is a major health problem that is associated with a significant financial burden and increased early morbidity and mortality. We investigated the accuracy of new echocardiographic derived indices to predict patients at higher risk of developing POAF. 84 consecutive patients (age 57.9 ± 6.9, 32% female) hospitalized for isolated CABG underwent comprehensive echocardiographic evaluation before surgery. Left atrial (LA) function was quantified through the assessment of phasic LA volumes to calculate LATEF. Speckle tracking echocardiography STE was used to measure LA reservoir strain, conduit strain and booster strain. Patients who developed POAF had increased LA volumes and impaired LA functions assessed by both the volumetric phasic changes and STE. By univariable analysis, all LA function parameters significantly predicted POAF. Multivariate regression analysis showed that age (P = 0.03, OR 1.134, 95% CI 1.012-1.271) and LATEF (P = 0.001, OR 0.814, 95% CI 0.725-0.914) were strong independent factors for POAF with LATEF showing the highest predictive accuracy. After multivariable adjustment to include LA strain indices to the base model, LA contractile strain LACtS (23.93 ± 4.19 vs 37.0 ± 3.35, p < 0.001) was the best discriminated for the highest predictive accuracy (OR 0.429, 95% CI 0.26-0.708). The ROC Curve was calculated for the greatest performance for prediction of POAF (AUC LACtS: 0.992; LATEF: 0.899). Adding new left atrial mechanics parameters is a more sensitive, independent tool that provides an incremental predictive value to discriminate patients at more risk for POAF.


Subject(s)
Atrial Fibrillation , Cardiac Surgical Procedures , Atrial Fibrillation/diagnostic imaging , Atrial Fibrillation/etiology , Atrial Function, Left , Cardiac Surgical Procedures/adverse effects , Female , Heart Atria/diagnostic imaging , Humans , Male , Middle Aged , Predictive Value of Tests
2.
Egypt Heart J ; 70(1): 15-19, 2018 Mar.
Article in English | MEDLINE | ID: mdl-29622992

ABSTRACT

BACKGROUND: Cardiovascular disease is a leading cause of death worldwide. Aging is an unavoidable coronary risk factor and is associated with dermatological signs that could be a marker for increased coronary risk. We tested the hypothesis that hair graying as a visible marker of aging is associated with risk of coronary artery disease (CAD) independent of chronological age. METHODS: This cross-sectional study included 545 males who underwent a computed tomography coronary angiography (CTCA) for suspicious of CAD, patients were divided into subgroups according to the percentage of gray/white hairs (Hair Whitening Score, HWS: 1-5) and to the absence or presence of CAD. RESULTS: CAD was prevalent in 80% of our studied population, 255 (46.8%) had 3 vessels disease with mean age of 53.2 ± 10.7 yrs. Hypertension, diabetes and dyslipidemia were more prevalent in CAD group (P = 0.001, P = 0.001, and P = 0.003, respectively). Patients with CAD had statistically significant higher HWS (32.1% vs 60.1%, p < 0.001) and significant coronary artery calcification (<0.001). Multivariate regression analysis showed that age (odds ratio (OR): 2.40, 95% confidence interval (CI): [1.31-4.39], p = 0.004), HWS (OR: 1.31, 95% CI: [1.09-1.57], p = 0.004), hypertension (OR: 1.63, 95% CI: [1.03-2.58], p = 0.036), and dyslipidemia (OR: 1.61, 95% CI: [1.02-2.54], p = 0.038) were independent predictors of the presence of atherosclerotic CAD, and only age (p < 0.001) was significantly associated with HWS. CONCLUSIONS: Higher HWS was associated with increased coronary artery calcification and risk of CAD independent of chronological age and other established cardiovascular risk factors.

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