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1.
Circ Res ; 130(9): 1276-1285, 2022 04 29.
Artigo em Inglês | MEDLINE | ID: mdl-35345906

RESUMO

BACKGROUND: COVID-19 is characterized by severe inflammation during the acute phase and increased aortic stiffness in the early postacute phase. In other models, aortic stiffness is improved after the reduction of inflammation. We aimed to evaluate the mid- and long-term effects of COVID-19 on vascular and cardiac autonomic function. The primary outcome was aortic pulse wave velocity (aPWV). METHODS: The cross-sectional Study-1 included 90 individuals with a history of COVID-19 and 180 matched controls. The longitudinal Study-2 included 41 patients with COVID-19 randomly selected from Study-1 who were followed-up for 27 weeks. RESULTS: Study-1: Compared with controls, patients with COVID-19 had higher aPWV and brachial PWV 12 to 24 (but not 25-48) weeks after COVID-19 onset, and they had higher carotid Young's elastic modulus and lower distensibility 12 to 48 weeks after COVID-19 onset. In partial least squares structural equation modeling, the higher the hs-CRP (high-sensitivity C-reactive protein) at hospitalization was, the higher the aPWV 12 to 48 weeks from COVID-19 onset (path coefficient: 0.184; P=0.04). Moreover, aPWV (path coefficient: -0.186; P=0.003) decreased with time. Study-2: mean blood pressure and carotid intima-media thickness were comparable at the end of follow-up, whereas aPWV (-9%; P=0.01), incremental Young's elastic modulus (-17%; P=0.03), baroreflex sensitivity (+28%; P=0.049), heart rate variability triangular index (+15%; P=0.01), and subendocardial viability ratio (+12%; P=0.01×10-4) were significantly improved. There was a trend toward improvement in brachial PWV (-6%; P=0.14) and carotid distensibility (+18%; P=0.05). Finally, at the end of follow-up (48 weeks after the onset of COVID-19) aPWV (+6%; P=0.04) remained significantly higher in patients with COVID-19 than in control subjects. CONCLUSIONS: COVID-19-related arterial stiffening involves several arterial tree portions and is partially resolved in the long-term.


Assuntos
COVID-19 , Rigidez Vascular , Proteína C-Reativa , Espessura Intima-Media Carotídea , Estudos Transversais , Humanos , Inflamação , Estudos Longitudinais , Análise de Onda de Pulso , Rigidez Vascular/fisiologia
2.
J Clin Med ; 11(8)2022 Apr 16.
Artigo em Inglês | MEDLINE | ID: mdl-35456328

RESUMO

The neutrophil-to-lymphocyte ratio (NLR) is an inflammatory marker predicting the prognosis of several diseases. We aimed to assess its role as a predictor of mortality or admission to the intensive care unit in COVID-19 patients. We retrospectively evaluated a cohort of 411 patients with COVID-19 infection. The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and C-reactive protein (CRP) of patients with COVID-19 were compared. The median age of our sample was 72 years (interquartile range: 70−75); 237 were males. Hypertension, diabetes and ischemic heart disease were the most common comorbidities. The study population was subdivided into three groups according to NLR tertiles. Third-tertile patients were older, showing significantly higher levels of inflammatory markers; 133 patients (32%) died during hospitalization, 81 of whom belonged to the third tertile; 79 patients (19%) were admitted to ICU. NLR showed the largest area under the curve (0.772), with the highest specificity (71.9%) and sensitivity (72.9%), whereas CRP showed lower sensitivity (60.2%) but slightly higher specificity (72.3%). Comparisons between NLR and CRP ROC curves were significantly different (p = 0.0173). Cox regression models showed that the association between NLR and death was not weakened after adjustment for confounders. Comparisons of ROC curves showed no significant differences between NLR, PLR, and CRP. Cox regression analysis showed that NLR predicted the risk of admission to ICU independently of demographic characteristics and comorbidities (HR: 3.9597, p < 0.0001). These findings provide evidence that NLR is an independent predictor of mortality and a worse outcome in COVID-19 patients and may help identify high-risk individuals with COVID-19 infection at admission.

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