Objective: To assess the accuracy of 4 mathematical equations used to estimate creatinine clearance versus the 24-h creatinine clearance in ICU patients.
Design: Prospective study of renal function prediction.
Setting: The general adult ICUs of 3 metropolitan hospitals.
Patients: 199 critically ill patients with indwelling foley catheters.
Intervention And Measurements: Routine 24 h creatinine clearances were evaluated only in patients whose urine volume recorded by the nurses was within 10% of the laboratory's measured volume. Four mathematical equations utilizing age, sex, body weight, height, and plasma creatinine were used as a comparison. There was no difference in estimated creatinine clearance by 3 published methods when the 24 h creatinine clearance exceeded 100 ml/min. When the 24 h creatinine clearance was less than 100 ml/min, however, one prediction equation adjusted for lean body weight (LBW), was the most accurate. This equation accurately predicted creatinine clearance in the range of 30-100 ml/min and slightly overestimated creatinine clearance at 0-30 ml/min (p < 0.01, ANOVA all groups, p < 0.05 Fisher and Scheffé post-hoc tests) with a mean difference +/- 95% confidence interval of -5 +/- 3.1 ml/min.
Conclusion: An initial rapid estimate of creatinine clearance in critically ill ICU patients with reduced renal function can be determined by an equation adjusted for LBW.
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http://dx.doi.org/10.1007/BF01709276 | DOI Listing |
Sci Rep
January 2025
Renal Division, Department of Medicine, Universidade Federal de São Paulo, Rua Pedro de Toledo, 781, São Paulo, SP, 04039-032, Brazil.
Partial stenosis of the renal artery causes renovascular hypertension (RVH) and is accompanied by chronic renal ischemia, resulting in irreversible kidney damage. Revascularization constitutes the most efficient therapy for normalizing blood pressure (BP) and has significant benefits for renal function; however, the tissue damage caused by chronic hypoxia is not fully reversed. Mesenchymal stem cells (MSCs) have produced discrete results in minimizing RVH and renal tissue and functional improvements since the obstruction persists.
View Article and Find Full Text PDFInt J Cardiol
January 2025
Internal Medicine Department, Centro Hospitalar e Universitário São João, Portugal; Department of Medicine, Faculty of Medicine of University of Porto, Portugal. Electronic address:
Background: Prognostic prediction in heart failure (HF) is challenging and no single marker has proven effective. We propose an index based on B-type natriuretic peptide (BNP) and four widely available parameters.
Methods: We retrospectively analyzed adult outpatients with chronic HF with systolic dysfunction followed from January 2012 to December 2020.
Int J Biol Macromol
January 2025
School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Luoshi Road 122, Wuhan 430070, China; School of Materials Science and Engineering, Wuhan University of Technology, Luoshi Road 122, Wuhan 430070, China. Electronic address:
Activated carbon is extensively utilized in blood purification applications. However, its performance has been significantly limited by their poor blood compatibility. In this work, 2,2,6,6-tetramethylpiperidinyl-1-oxyl (TEMPO)-oxidized cellulose nanofibers (TOCN) and activated carbon (AC) were used to form composite beads by the drop curing method to improve hemocompatibility.
View Article and Find Full Text PDFNutrients
January 2025
Division of Experimental Oncology, Urological Research Institute (URI), IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy.
Physical Activity (PA) provides numerous biological and psychological benefits, especially for cancer patients. PA mitigates treatment side effects, influences hormones, inflammation, adiposity, and immune function, and reduces symptoms of anxiety, depression, and fatigue. This study evaluates the impact of PA on these positive outcomes.
View Article and Find Full Text PDFJ Clin Oncol
January 2025
INSERM, IMRBU955, Univ Paris Est Créteil, Créteil, France.
Purpose: Establishing an accurate prognosis remains challenging in older patients with cancer because of the population's heterogeneity and the current predictive models' reduced ability to capture the complex interactions between oncologic and geriatric predictors. We aim to develop and externally validate a new predictive score (the Geriatric Cancer Scoring System [GCSS]) to refine individualized prognosis for older patients with cancer during the first year after a geriatric assessment (GA).
Materials And Methods: Data were collected from two French prospective multicenter cohorts of patients with cancer 70 years and older, referred for GA: ELCAPA (training set January 2007-March 2016) and ONCODAGE (validation set August 2008-March 2010).
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