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1.
Ultrasound ; 31(2): 119-125, 2023 May.
Artigo em Inglês | MEDLINE | ID: mdl-37144225

RESUMO

Introduction: The clinical implication of intrarenal venous flow patterns in decompensated heart failure with worsening renal function is unknown. We aimed to study the relationship between intrarenal venous flow patterns, inferior vena cava volume status, caval index, clinical degree of congestion and the renal outcome in patients with decompensated heart failure and worsening renal function. Secondary objectives were to study the combined endpoint of readmission and mortality rate within 30 days (after the last scan) among intrarenal venous flow patterns and the effect of congestion status on the renal outcome. Methods: Twenty-three patients admitted for decompensated heart failure (ejection fraction ⩽40%) with worsening renal function (absolute increase in serum creatinine of 26.5 µmol/L or ⩾1.5-fold increment from baseline) were enrolled in this study. A total of 64 scans were performed. Patients were visited on day 0, 2, 4 and 7 (or earlier if discharged). Patients were called 30 days after discharge to evaluate readmission or mortality. Intrarenal venous flow patterns were ranked from continuous, interrupted, biphasic, to monophasic. Clinical congestion was scored from 0 to 7. Results: Intrarenal venous flow patterns had statistically significant positive correlations with inferior vena cava volume status (Spearman's ρ, 0.51; p < 0.01) and congestion score (ρ, 0.65; p < 0.01) and a significant negative correlation with caval index (ρ, -0.53; p < 0.01). Intrarenal venous flow patterns were not significant in predicting estimated glomerular filtration rate improvement or the combined endpoint. Reduced congestion significantly predicted an estimated glomerular filtration rate improvement on the following scan day (p = 0.04, odds ratio = 4.3, 95% confidence interval = 1.1-17.2). Conclusion: Although intrarenal venous flow patterns correlate with other congestive parameters, clinical congestion status rather than intrarenal venous flow patterns predicted the renal outcome.

2.
Clin Neurol Neurosurg ; 191: 105684, 2020 04.
Artigo em Inglês | MEDLINE | ID: mdl-31981997

RESUMO

OBJECTIVES: Specific factors and its predictive parameters for neurological deterioration in total anterior circulation infarct (TACI) were not known. Our objective was to determine the risk factors and risk scores for neurological deterioration in TACI. The secondary objective was to determine the effect of antiplatelet therapy in TACI. PATIENTS AND METHODS: This was a single-center cohort study. 46 patients with TACI were enrolled and followed up for 30 days, discharged, or death; whichever earlier. The National Institutes of Health Stroke Scale (NIHSS) was performed daily by investigators who are NIHSS certified and radiological findings were confirmed by a certified radiologist. Neurological deterioration was defined by a drop in NIHSS by 2 points or Glasgow Coma Scale (GCS) by 1 point. Clinical, laboratory and radiological variables were evaluated. Significant predictive variables were given a score based on its co-efficient values in multivariate analysis. RESULTS: Lower Alberta stroke program early CT score (ASPECTS) and higher numbers of early computed tomography (CT) sign of middle cerebral artery (MCA) infarct were significant risk factor for neurological deterioration with p < 0.001 (OR: 3.41, 95% CI 1.78-6.51) and p < 0.001 (OR 18.19, 95% CI 3.82-86.55) respectively. A score of 1 assigned for 3 early CT signs of MCA infarct, 2 for 4 early CT signs of MCA infarct, and 1 for ASPECTS < 6. Receiver operating characteristic (ROC) showed a total score of 2 predicted neurological deterioration in TACI (Area under the curve 0.953, with sensitivity and specificity of 78.9% and 93% respectively). CONCLUSION: A simple 2 variables risk score formula was significant in predicting neurological deterioration. Antiplatelet may be recommended for TACI, further study is required.


Assuntos
Infarto da Artéria Cerebral Anterior/diagnóstico por imagem , Infarto da Artéria Cerebral Média/diagnóstico por imagem , Idoso , Idoso de 80 Anos ou mais , Progressão da Doença , Feminino , Humanos , Infarto da Artéria Cerebral Anterior/fisiopatologia , Infarto da Artéria Cerebral Média/fisiopatologia , Masculino , Pessoa de Meia-Idade , Mortalidade , Modelos de Riscos Proporcionais , Fatores de Risco , Tomografia Computadorizada por Raios X
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