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Renal Insufficiency

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Prospective Study to Assess Progression of Renal Markers after Interruption of Tenofovir due to Nephrotoxicity.

BioMed research international
. Prospective studies about the reversibility of tenofovir disoproxil fumarate- (TDF-) related renal impairment remain scarce. . This is an observational prospective study including all patients that presented at our HIV Unit who interrupted TDF owin...

Correlation of Serum Cystatin C with Glomerular Filtration Rate in Patients Receiving Platinum-Based Chemotherapy.

Analytical cellular pathology (Amsterdam)
. Serum cystatin C seems to be an accurate marker of glomerular filtration rate (GFR) compared to serum creatinine. The aim of this work was to explore the possibility of using serum cystatin C instead of serum creatinine to early predict renal failu...

Early surgery after angiography in patients scheduled for valve replacement.

Asian cardiovascular & thoracic annals
Background There are limited data regarding the risks of cardiac surgery early after coronary angiography in patients scheduled for isolated aortic and/or mitral valve replacement. Our aim was to evaluate the risk of early surgery after coronary angi...

Renal impairment and outcome in patients with takotsubo cardiomyopathy.

The American journal of emergency medicine
OBJECTIVES: The objectives were to ascertain the prevalence of renal impairment among patients with a takotsubo cardiomyopathy (TTC) episode and whether clinical outcomes are related to renal function.

Predicting Renal Failure Progression in Chronic Kidney Disease Using Integrated Intelligent Fuzzy Expert System.

Computational and mathematical methods in medicine
BACKGROUND: Chronic kidney disease (CKD) is a covert disease. Accurate prediction of CKD progression over time is necessary for reducing its costs and mortality rates. The present study proposes an adaptive neurofuzzy inference system (ANFIS) for pre...

Machine learning for real-time prediction of complications in critical care: a retrospective study.

The Lancet. Respiratory medicine
BACKGROUND: The large amount of clinical signals in intensive care units can easily overwhelm health-care personnel and can lead to treatment delays, suboptimal care, or clinical errors. The aim of this study was to apply deep machine learning method...