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1.
Int J Cardiovasc Imaging ; 34(11): 1731-1739, 2018 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-29948637

RESUMO

The aim of this study was to compare left ventricular (LV) functions by speckle tracking echocardiography (STE) in chronic kidney disease (CKD) patients in various stages and under different renal replacement treatments in order to evaluate possible differences between them. This prospective study included 150 patients with CKD. Renal transplantation patients with glomerular filtration rate greater than 60 ml/min/1.73 m2, patients receiving hemodialysis three times a week, and patients in the predialysis stage with glomerular filtration rate less than 30 ml/dk/1.73 m2 were assigned into Group 1 (n = 50), Group 2 (n = 50), and Group 3 (n = 50), respectively. LV longitudinal, circumferential, and radial myocardial deformation parameters (strain, strain rate [SR], rotation, twist) were evaluated by STE. Peak systolic longitudinal strain was higher in the transplantation group than the hemodialysis group (- 19.93 ± 3.50 vs - 17.47 ± 3.28%, p < 0.017). Peak systolic circumferential strain was lower in the hemodialysis group (- 20.97 ± 4.90%) than Groups 1 and 3 (- 25.87 ± 4.20 and - 24.74 ± 4.55%, respectively, p < 0.001). Peak systolic radial SR was higher in the transplantation group than the hemodialysis group (1.84 ± 0.52 vs 1.55 ± 0.52 s-1, respectively, p < 0.017). Other longitudinal and circumferential deformation parameters together with peak early diastolic radial SR and twist were also significantly different between the groups. Strain, SR, and twist values were mostly lower in the hemodialysis patients, but generally higher in the transplantation patients. LV functions evaluated by STE are better in the renal transplantation patients than the hemodialysis patients and than those in the predialysis stage. This may indicate beneficial effects of renal transplantation on cardiac functions.


Assuntos
Transplante de Rim , Rim/cirurgia , Contração Miocárdica , Diálise Renal , Insuficiência Renal Crônica/terapia , Disfunção Ventricular Esquerda/fisiopatologia , Função Ventricular Esquerda , Adulto , Fenômenos Biomecânicos , Ecocardiografia Doppler , Feminino , Taxa de Filtração Glomerular , Humanos , Rim/fisiopatologia , Masculino , Pessoa de Meia-Idade , Estudos Prospectivos , Recuperação de Função Fisiológica , Insuficiência Renal Crônica/complicações , Insuficiência Renal Crônica/diagnóstico , Insuficiência Renal Crônica/fisiopatologia , Resultado do Tratamento , Disfunção Ventricular Esquerda/diagnóstico por imagem , Disfunção Ventricular Esquerda/etiologia
2.
Arch Med Sci ; 12(1): 95-100, 2016 Feb 01.
Artigo em Inglês | MEDLINE | ID: mdl-26925123

RESUMO

INTRODUCTION: Neutrophil-to-lymphocyte ratio (NLR), which is an essential marker of inflammation, has been shown to be associated with adverse outcomes in various cardiovascular diseases in the literature. In this study we sought to evaluate the association between NLR and prognosis of acute pulmonary embolism (APE). MATERIAL AND METHODS: We retrospectively evaluated blood counts and clinical data of 142 patients with the diagnosis of pulmonary embolism (PE) from Ondokuz Mayis University Hospital between January 2006 and December 2012. The patients were divided into two groups according to NLR: NLR < 4.4 (low NLR group, n = 71) and NLR ≥ 4.4 (high NLR group, n = 71). RESULTS: Massive embolism (66.2% vs. 36.6%, p < 0.001) and in-hospital mortality (21.1%, 1.4%, p < 0.001) were higher in the high NLR group. In multivariate regression analysis NLR ≥ 5.7, systolic blood pressure (BP) < 90 mm Hg, serum glucose > 126 mg/dl, heart rate > 110 beats/min, and PCO2 < 35 or > 50 mm Hg were predictors of in-hospital mortality. The optimal NLR cutoff value was 5.7 for mortality in receiver operating characteristic (ROC) analysis. Having an NLR value above 5.7 was found to be associated with a 10.8 times higher mortality rate than an NLR value below 5.7. CONCLUSIONS: In patients presenting with APE, NLR value is an independent predictor of in-hospital mortality and may be used for clinical risk classification.

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