Matches in SemOpenAlex for { <https://semopenalex.org/work/W2169634314> ?p ?o ?g. }
- W2169634314 endingPage "1018" @default.
- W2169634314 startingPage "1007" @default.
- W2169634314 abstract "Background Accurate assessment of kidney function is important for the management of solid-organ transplant recipients. In other clinical populations, glomerular filtration rate (GFR) most commonly is estimated using the CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration) creatinine or the 4-variable MDRD (Modification of Diet in Renal Disease) Study equation. The accuracy of these equations compared with other GFR estimating equations in transplant recipients has not been carefully studied. Study Design Diagnostic test study. Setting & Participants Solid-organ transplant recipients longer than 6 months posttransplantation from 5 clinical populations (N = 3,622, including recipients of kidney [53%], liver [35%], and other or multiple organs [12%]). Index Test Estimated GFR (eGFR) using creatinine-based GFR estimating equations identified from a systematic review of the literature. Performance of the CKD-EPI creatinine and the MDRD Study equations was compared with alternative equations. Reference Test Measured GFR (mGFR) from urinary clearance of iothalamate or plasma clearance of iohexol. Measurements Error (difference between mGFR and eGFR) expressed as P30 (proportion of absolute percent error < 30%) and mean absolute error. Results We identified 26 GFR estimating equations. Mean mGFR was 55.1 ± 22.7 (SD) mL/min/1.73 m2. P30 and mean absolute error for the CKD-EPI and the MDRD Study equations were 78.9% (99.6% CI, 76.9%-80.8%) for both and 10.6 (99.6% CI, 10.1-11.1) versus 11.0 (99.6% CI, 10.5-11.5) mL/min/1.73 m2, respectively; these equations were more accurate than any of the alternative equations (P < 0.001 for all pairwise comparisons for both measures). They performed better than or as well as the alternative equations in most subgroups defined by demographic and clinical characteristics, including type of transplanted organ. Limitations Study population included few nonwhites and people with solid-organ transplants other than liver and kidneys. Conclusions The CKD-EPI creatinine and the MDRD Study equations perform better than the alternative creatinine-based estimating equations in solid-organ transplant recipients. They can be used for clinical management. Accurate assessment of kidney function is important for the management of solid-organ transplant recipients. In other clinical populations, glomerular filtration rate (GFR) most commonly is estimated using the CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration) creatinine or the 4-variable MDRD (Modification of Diet in Renal Disease) Study equation. The accuracy of these equations compared with other GFR estimating equations in transplant recipients has not been carefully studied. Diagnostic test study. Solid-organ transplant recipients longer than 6 months posttransplantation from 5 clinical populations (N = 3,622, including recipients of kidney [53%], liver [35%], and other or multiple organs [12%]). Estimated GFR (eGFR) using creatinine-based GFR estimating equations identified from a systematic review of the literature. Performance of the CKD-EPI creatinine and the MDRD Study equations was compared with alternative equations. Measured GFR (mGFR) from urinary clearance of iothalamate or plasma clearance of iohexol. Error (difference between mGFR and eGFR) expressed as P30 (proportion of absolute percent error < 30%) and mean absolute error. We identified 26 GFR estimating equations. Mean mGFR was 55.1 ± 22.7 (SD) mL/min/1.73 m2. P30 and mean absolute error for the CKD-EPI and the MDRD Study equations were 78.9% (99.6% CI, 76.9%-80.8%) for both and 10.6 (99.6% CI, 10.1-11.1) versus 11.0 (99.6% CI, 10.5-11.5) mL/min/1.73 m2, respectively; these equations were more accurate than any of the alternative equations (P < 0.001 for all pairwise comparisons for both measures). They performed better than or as well as the alternative equations in most subgroups defined by demographic and clinical characteristics, including type of transplanted organ. Study population included few nonwhites and people with solid-organ transplants other than liver and kidneys. The CKD-EPI creatinine and the MDRD Study equations perform better than the alternative creatinine-based estimating equations in solid-organ transplant recipients. They can be used for clinical management." @default.
- W2169634314 created "2016-06-24" @default.
- W2169634314 creator A5010367070 @default.
- W2169634314 creator A5011224253 @default.
- W2169634314 creator A5023351400 @default.
- W2169634314 creator A5031580643 @default.
- W2169634314 creator A5032690087 @default.
- W2169634314 creator A5043195515 @default.
- W2169634314 creator A5048525391 @default.
- W2169634314 creator A5054028071 @default.
- W2169634314 creator A5054296834 @default.
- W2169634314 creator A5085269683 @default.
- W2169634314 date "2014-06-01" @default.
- W2169634314 modified "2023-10-16" @default.
- W2169634314 title "Performance of Creatinine-Based GFR Estimating Equations in Solid-Organ Transplant Recipients" @default.
- W2169634314 cites W1550111394 @default.
- W2169634314 cites W1966337012 @default.
- W2169634314 cites W1980848748 @default.
- W2169634314 cites W1990295478 @default.
- W2169634314 cites W1995505017 @default.
- W2169634314 cites W2010357278 @default.
- W2169634314 cites W2039736044 @default.
- W2169634314 cites W2050021714 @default.
- W2169634314 cites W2050103286 @default.
- W2169634314 cites W2051236746 @default.
- W2169634314 cites W2054970136 @default.
- W2169634314 cites W2055864845 @default.
- W2169634314 cites W2062649697 @default.
- W2169634314 cites W2064050544 @default.
- W2169634314 cites W2068718128 @default.
- W2169634314 cites W2073742622 @default.
- W2169634314 cites W2078696538 @default.
- W2169634314 cites W2082526518 @default.
- W2169634314 cites W2083046874 @default.
- W2169634314 cites W2083247288 @default.
- W2169634314 cites W2090855468 @default.
- W2169634314 cites W2100164846 @default.
- W2169634314 cites W2104443849 @default.
- W2169634314 cites W2107174394 @default.
- W2169634314 cites W2107195787 @default.
- W2169634314 cites W2107516910 @default.
- W2169634314 cites W2107925422 @default.
- W2169634314 cites W2111343904 @default.
- W2169634314 cites W2118625269 @default.
- W2169634314 cites W2123717036 @default.
- W2169634314 cites W2123980341 @default.
- W2169634314 cites W2128294539 @default.
- W2169634314 cites W2129620802 @default.
- W2169634314 cites W2133174465 @default.
- W2169634314 cites W2140473042 @default.
- W2169634314 cites W2141691682 @default.
- W2169634314 cites W2149077448 @default.
- W2169634314 cites W2151173975 @default.
- W2169634314 cites W2152189242 @default.
- W2169634314 cites W2155965977 @default.
- W2169634314 cites W2164626372 @default.
- W2169634314 cites W2332514465 @default.
- W2169634314 cites W2413502948 @default.
- W2169634314 cites W3025346697 @default.
- W2169634314 doi "https://doi.org/10.1053/j.ajkd.2014.01.436" @default.
- W2169634314 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4113340" @default.
- W2169634314 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/24703720" @default.
- W2169634314 hasPublicationYear "2014" @default.
- W2169634314 type Work @default.
- W2169634314 sameAs 2169634314 @default.
- W2169634314 citedByCount "100" @default.
- W2169634314 countsByYear W21696343142014 @default.
- W2169634314 countsByYear W21696343142015 @default.
- W2169634314 countsByYear W21696343142016 @default.
- W2169634314 countsByYear W21696343142017 @default.
- W2169634314 countsByYear W21696343142018 @default.
- W2169634314 countsByYear W21696343142019 @default.
- W2169634314 countsByYear W21696343142020 @default.
- W2169634314 countsByYear W21696343142021 @default.
- W2169634314 countsByYear W21696343142022 @default.
- W2169634314 countsByYear W21696343142023 @default.
- W2169634314 crossrefType "journal-article" @default.
- W2169634314 hasAuthorship W2169634314A5010367070 @default.
- W2169634314 hasAuthorship W2169634314A5011224253 @default.
- W2169634314 hasAuthorship W2169634314A5023351400 @default.
- W2169634314 hasAuthorship W2169634314A5031580643 @default.
- W2169634314 hasAuthorship W2169634314A5032690087 @default.
- W2169634314 hasAuthorship W2169634314A5043195515 @default.
- W2169634314 hasAuthorship W2169634314A5048525391 @default.
- W2169634314 hasAuthorship W2169634314A5054028071 @default.
- W2169634314 hasAuthorship W2169634314A5054296834 @default.
- W2169634314 hasAuthorship W2169634314A5085269683 @default.
- W2169634314 hasBestOaLocation W21696343142 @default.
- W2169634314 hasConcept C105795698 @default.
- W2169634314 hasConcept C126322002 @default.
- W2169634314 hasConcept C126894567 @default.
- W2169634314 hasConcept C159641895 @default.
- W2169634314 hasConcept C204016326 @default.
- W2169634314 hasConcept C2778653478 @default.
- W2169634314 hasConcept C2779093167 @default.
- W2169634314 hasConcept C2780306776 @default.
- W2169634314 hasConcept C33923547 @default.
- W2169634314 hasConcept C49781872 @default.