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10.1136/bmjopen-2015-007835

http://scihub22266oqcxt.onion/10.1136/bmjopen-2015-007835
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C4593164!4593164!26399570
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suck abstract from ncbi


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pmid26399570      BMJ+Open 2015 ; 5 (9): ä
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  • Glomerular filtration rate (GFR) during and after STEMI: a single-centre, methodological study comparing estimated and measured GFR #MMPMID26399570
  • Venetsanos D; Alfredsson J; Segelmark M; Swahn E; Lawesson SS
  • BMJ Open 2015[]; 5 (9): ä PMID26399570show ga
  • Objectives: To validate the performance of the most commonly used formulas for estimation of glomerular filtration rate (GFR) against measured GFR during the index hospitalisation for ST-elevation myocardial infarction (STEMI). Setting: Single centre, methodological study. Participants: 40 patients with percutaneous coronary intervention-treated STEMI were included between November 2011 and February 2013. Patients on dialysis, cardiogenic shock or known allergy to iodine were excluded. Outcome measures: Creatinine and cystatin C were determined at admission and before discharge in 40 patients with STEMI. Clearance of iohexol was measured (mGFR) before discharge. We evaluated and compared the Cockcroft-Gault (CG), the Modification of Diet in Renal Disease (MDRD-IDMS), the Chronic Kidney Disease Epidemiology (CKD-EPI) and the Grubb relative cystatin C (rG-CystC) with GFR regarding correlation, bias, precision and accuracy (P30). Agreement between eGFR and mGFR to discriminate CKD was assessed by Cohen's ? statistics. Results: MDRD-IDMS and CKD-EPI demonstrated good performance to estimate GFR (correlation 0.78 vs 0.81%, bias ?1.3% vs 1.5%, precision 17.9 vs 17.1?mL/min 1.73?m2 and P30 82.5% vs 82.5% for MDRD-IDMS vs CKD-EPI). CKD was best classified by CKD-EPI (? 0.83). CG showed the worst performance (correlation 0.73%, bias ?1% to 3%, precision 22.5?mL/min 1.73?m2 and P30 75%). The rG-CystC formula had a marked bias of ?17.8% and significantly underestimated mGFR (p=0.03). At arrival, CKD-EPI and rG-CystC had almost perfect agreement in CKD classification (?=0.87), whereas at discharge agreement was substantially lower (?=0.59) and showed a significant discrepancy in CKD classification (p=0.02). Median cystatin C concentration increased by 19%. Conclusions: In acute STEMI, CKD-EPI showed the best CKD-classification ability followed by MDRD-IDMS, whereas CG performed the worst. STEMI altered the performance of the cystatin C equation during the acute phase, suggesting that other factors might be involved in the rise of cystatin C.
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