Real-time myocardial contrast echocardiography as a useful tool to select candidates for coronary revascularization among patients with end-stage renal disease – a 3-year follow-up study

Tomaszuk‐Kazberuk, Anna; Sobkowicz, Bożena; Malyszko, J.; Hirnle, Tomasz; Dobrzycki, Sławomir; Mysliwiec, M.; Musiał, W

doi:10.2478/v10039-011-0050-y

Cited by 1 publication

(2 citation statements)

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“…Real-time myocardial contrast echocardiography (MCE) is a non-invasive tool for assessment of myocardial ischemia in HD patients[ 70 ]. During this procedure, intravenous contrast is utilized to assess myocardial perfusion adequacy, which is defined as homogenous enhancement in > 50% of myocardial wall thickness for each segment[ 25 ]. One study showed that MCE and coronary angiography resulted in equal accuracy for anticipating combined cardiovascular endpoints and death[ 25 ].…”

Section: Discussionmentioning

confidence: 99%

“…During this procedure, intravenous contrast is utilized to assess myocardial perfusion adequacy, which is defined as homogenous enhancement in > 50% of myocardial wall thickness for each segment[ 25 ]. One study showed that MCE and coronary angiography resulted in equal accuracy for anticipating combined cardiovascular endpoints and death[ 25 ]. The authors concluded that MCE is a safe and uncomplicated test that can aid in the selection of candidates for coronary revascularization.…”

Section: Discussionmentioning

confidence: 99%

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Prediction of mortality among patients with chronic kidney disease: A systematic review

Hansrivijit

Chen

Lnu

et al. 2021

WJN

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BACKGROUND Chronic kidney disease (CKD) is a common medical condition that is increasing in prevalence. Existing published evidence has revealed through regression analyses that several clinical characteristics are associated with mortality in CKD patients. However, the predictive accuracies of these risk factors for mortality have not been clearly demonstrated. AIM To demonstrate the accuracy of mortality predictive factors in CKD patients by utilizing the area under the receiver operating characteristic (ROC) curve (AUC) analysis. METHODS We searched Ovid MEDLINE, EMBASE, and the Cochrane Library for eligible articles through January 2021. Studies were included based on the following criteria: (1) Study nature was observational or conference abstract; (2) Study populations involved patients with non-transplant CKD at any CKD stage severity; and (3) Predictive factors for mortality were presented with AUC analysis and its associated 95% confidence interval (CI). AUC of 0.70-0.79 is considered acceptable, 0.80-0.89 is considered excellent, and more than 0.90 is considered outstanding. RESULTS Of 1759 citations, a total of 18 studies ( n = 14579) were included in this systematic review. Eight hundred thirty two patients had non-dialysis CKD, and 13747 patients had dialysis-dependent CKD (2160 patients on hemodialysis, 370 patients on peritoneal dialysis, and 11217 patients on non-differentiated dialysis modality). Of 24 mortality predictive factors, none were deemed outstanding for mortality prediction. A total of seven predictive factors [N-terminal pro-brain natriuretic peptide (NT-proBNP), BNP, soluble urokinase plasminogen activator receptor (suPAR), augmentation index, left atrial reservoir strain, C-reactive protein, and systolic pulmonary artery pressure] were identified as excellent. Seventeen predictive factors were in the acceptable range, which we classified into the following subgroups: predictors for the non-dialysis population, echocardiographic factors, comorbidities, and miscellaneous. CONCLUSION Several factors were found to predict mortality in CKD patients. Echocardiography is an important tool for mortality prognostication in CKD patients by evaluating left atrial reservoir strain, systolic pulmonary artery pressure, diastolic function, and left ventricular mass index.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%