The Chronic Kidney Disease Epidemiology Collaboration cystatin C (CKD‐EPI‐CysC) equation has an independent prognostic value for overall survival in newly diagnosed patients with symptomatic multiple myeloma; is it time to change from MDRD to CKD‐EPI‐CysC equations?. (17th August 2013)
- Record Type:
- Journal Article
- Title:
- The Chronic Kidney Disease Epidemiology Collaboration cystatin C (CKD‐EPI‐CysC) equation has an independent prognostic value for overall survival in newly diagnosed patients with symptomatic multiple myeloma; is it time to change from MDRD to CKD‐EPI‐CysC equations?. (17th August 2013)
- Main Title:
- The Chronic Kidney Disease Epidemiology Collaboration cystatin C (CKD‐EPI‐CysC) equation has an independent prognostic value for overall survival in newly diagnosed patients with symptomatic multiple myeloma; is it time to change from MDRD to CKD‐EPI‐CysC equations?
- Authors:
- Terpos, Evangelos
Christoulas, Dimitrios
Kastritis, Efstathios
Katodritou, Eirini
Pouli, Anastasia
Michalis, Eurydiki
Papassotiriou, Ioannis
Dimopoulos, Meletios A. - Abstract:
- <abstract abstract-type="main" id="ejh12164-abs-0001"> <title>Abstract</title> <sec id="ejh12164-sec-0001" sec-type="section"> <title>Objectives</title> <p>The estimation of glomerular filtration rate (eGFR) in multiple myeloma (MM) is based on equations that use serum creatinine (sCr), such as the Modification of Diet in Renal Disease (MDRD) equation. However, the Chronic Kidney Disease Epidemiology Collaboration (CKD‐EPI) group has suggested that eGFR based on both sCr and cystatin C (CKD‐EPI‐sCr‐CysC) is more accurate than other formulae for the estimation of kidney dysfunction. The aim of this study was to prospectively evaluate, for the first time in the literature, the CKD‐EPI‐sCR‐CysC formula in newly diagnosed patients with symptomatic MM.</p> </sec> <sec id="ejh12164-sec-0002" sec-type="section"> <title>Methods</title> <p>We studied 220 newly diagnosed, previously untreated, patients with symptomatic myeloma and calculated eGFR using the MDRD, the CKD‐EPI‐sCR, the CKD‐EPI‐CysC, and the CKD‐EPI‐sCr‐CysC equations.</p> </sec> <sec id="ejh12164-sec-0003" sec-type="section"> <title>Results</title> <p>CKD‐EPI‐sCr‐CysC equation detected more myeloma patients with stage 3–5 renal impairment than the MDRD, CKD‐EPI, or CKD‐EPI‐CysC equations: 45% vs. 39.5%, 42.2%, and 43.1%, respectively (<italic>P</italic> &lt; 0.01). This was also observed in the elderly patients (&gt;70 yrs), while in patients ≤70 yrs, the CKD‐EPI‐CysC equation managed to identify higher number of<abstract abstract-type="main" id="ejh12164-abs-0001"> <title>Abstract</title> <sec id="ejh12164-sec-0001" sec-type="section"> <title>Objectives</title> <p>The estimation of glomerular filtration rate (eGFR) in multiple myeloma (MM) is based on equations that use serum creatinine (sCr), such as the Modification of Diet in Renal Disease (MDRD) equation. However, the Chronic Kidney Disease Epidemiology Collaboration (CKD‐EPI) group has suggested that eGFR based on both sCr and cystatin C (CKD‐EPI‐sCr‐CysC) is more accurate than other formulae for the estimation of kidney dysfunction. The aim of this study was to prospectively evaluate, for the first time in the literature, the CKD‐EPI‐sCR‐CysC formula in newly diagnosed patients with symptomatic MM.</p> </sec> <sec id="ejh12164-sec-0002" sec-type="section"> <title>Methods</title> <p>We studied 220 newly diagnosed, previously untreated, patients with symptomatic myeloma and calculated eGFR using the MDRD, the CKD‐EPI‐sCR, the CKD‐EPI‐CysC, and the CKD‐EPI‐sCr‐CysC equations.</p> </sec> <sec id="ejh12164-sec-0003" sec-type="section"> <title>Results</title> <p>CKD‐EPI‐sCr‐CysC equation detected more myeloma patients with stage 3–5 renal impairment than the MDRD, CKD‐EPI, or CKD‐EPI‐CysC equations: 45% vs. 39.5%, 42.2%, and 43.1%, respectively (<italic>P</italic> &lt; 0.01). This was also observed in the elderly patients (&gt;70 yrs), while in patients ≤70 yrs, the CKD‐EPI‐CysC equation managed to identify higher number of patients with stage 3–5 renal impairment (RI) than the other equations. Furthermore, 63 (28.6%) patients with eGFR values by the MDRD formula were reclassified to higher CKD stages according to CKD‐EPI‐CysC equation. The median overall survival for all patients was 52 months. In the multivariate analysis, that included International Staging System stage, lactate dehydrogenase (LDH) ≥300 U/L and eGFR for each different equation (as a continuous variable), only eGFR that included CysC, but not sCr had independent prognostic value (<italic>P</italic> = 0.013) along with high LDH (<italic>P</italic> = 0.029).</p> </sec> <sec id="ejh12164-sec-0004" sec-type="section"> <title>Conclusions</title> <p>Our results suggest that equations based on CysC reveal higher number of MM patients with RI compared with equations based only in sCr. Furthermore, the CKD‐EPI‐CysC formula independently predicted for survival. Based on these data, we suggest that CKD‐EPI equations based on CysC should substitute MDRD, as it has been suggested for patients with several other renal disorders.</p> </sec> </abstract> … (more)
- Is Part Of:
- European journal of haematology. Volume 91:Number 4(2013:Oct.)
- Journal:
- European journal of haematology
- Issue:
- Volume 91:Number 4(2013:Oct.)
- Issue Display:
- Volume 91, Issue 4 (2013)
- Year:
- 2013
- Volume:
- 91
- Issue:
- 4
- Issue Sort Value:
- 2013-0091-0004-0000
- Page Start:
- 347
- Page End:
- 355
- Publication Date:
- 2013-08-17
- Subjects:
- Hematology -- Periodicals
Blood -- Diseases -- Periodicals
Blood -- Periodicals
616.15005 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1600-0609 ↗
http://www.blackwell-synergy.com/member/institutions/issuelist.asp?journal=ejh ↗
http://onlinelibrary.wiley.com/ ↗
http://firstsearch.oclc.org ↗ - DOI:
- 10.1111/ejh.12164 ↗
- Languages:
- English
- ISSNs:
- 0902-4441
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3829.729700
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 3329.xml