CKD: A Call for an Age-Adapted Definition : Journal of the American Society of Nephrology

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Up Front Matters: Review

CKD: A Call for an Age-Adapted Definition

Delanaye, Pierre1; Jager, Kitty J.2; Bökenkamp, Arend3; Christensson, Anders4; Dubourg, Laurence5; Eriksen, Bjørn Odvar6,7; Gaillard, François8; Gambaro, Giovanni9; van der Giet, Markus10; Glassock, Richard J.11; Indridason, Olafur S.12; van Londen, Marco13; Mariat, Christophe14; Melsom, Toralf6,7; Moranne, Olivier15; Nordin, Gunnar16; Palsson, Runolfur12,17; Pottel, Hans18; Rule, Andrew D.19; Schaeffner, Elke20; Taal, Maarten W.21; White, Christine22; Grubb, Anders23; van den Brand, Jan A. J. G.24

Author Information

1Department of Nephrology, Dialysis, Transplantation, University of Liège, Centre Hospitalier Universitaire Sart Tilman, ULg CHU, Liège, Belgium;

2Department of Medical Informatics, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands;

3Emma Children’s Hospital, Amsterdam UMC, Vrije University Amsterdam, Amsterdam, The Netherlands;

4Department of Nephrology, Skåne University Hospital, Lund University, Malmö, Sweden;

5Nephrology, Dialysis, Hypertension and Functional Renal Exploration, Edouard Herriot Hospital, Hospices Civils de Lyon and Université Lyon 1, Lyon, France;

6Metabolic and Renal Research Group, UiT The Arctic University of Norway, Tromsø, Norway;

7Section of Nephrology, Clinic of Internal Medicine, University Hospital of North Norway, Tromsø, Norway;

8Renal Transplantation Department, Necker Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France, Paris Sud University, Orsay, France;

9Division of Nephrology and Dialysis, Department of Medicine, University of Verona, Verona, Italy;

10Department of Nephrology, Charité – Universitätsmedizin Berlin, Berlin, Germany;

11Department of Medicine, Geffen School of Medicine, University of California Los Angeles, Los Angeles, California;

12Division of Nephrology, National University Hospital of Iceland, Reykavik, Iceland;

13Division of Nephrology, Department of Internal Medicine, University Medical Center Groningen, Groningen, The Netherlands;

14Nephrology, Dialysis and Renal Transplantation Department, Hôpital Nord, Centre Hospitalier Universitaire de Saint-Etienne, Jean Monnet University, Communauté d’universités et Etablissements Université de Lyon, Lyon, France;

15Nephrology, Dialysis, Apheresis Unit, Centre Hospitalier Universitaire Caremeau Nimes, University of Montpellier, Montpellier, France;

16Equalis AB, Uppsala, Sweden;

17Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland;

18Department of Public Health and Primary Care, Katholieke Universiteit Leuven Campus Kulak Kortrijk, Kortrijk, Belgium;

19Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota;

20Charité – Universitätsmedizin Berlin, corporate member of Free University of Berlin, Humboldt University of Berlin, and Berlin Institute of Health, Institute of Public Health, Berlin, Germany;

21Centre for Kidney Research and Innovation, Division of Medical Sciences and Graduate Entry Medicine, School of Medicine, University of Nottingham, UK;

22Department of Medicine, Queen’s University, Kingston, Ontario, Canada;

23Department of Clinical Chemistry and Pharmacology, Laboratory Medicine, Skåne University Hospital, Lund University, Lund, Sweden; and

24Department of Nephrology, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands

P.D. and K.J.J. contributed equally to this work as co-first authors.

A.G. and J.A.J.G.v.d.B. contributed equally to this work as co-last senior authors.

Correspondence: Prof. Pierre Delanaye, Service de Dialyse B35, University of Liège (ULg CHU), CHU Sart Tilman, 4000 Liège, Belgium. Email: [email protected]

JASN 30(10):p 1785-1805, October 2019. | DOI: 10.1681/ASN.2019030238
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Abstract

The current criteria used for the definition of CKD in adults are: (1) signs of kidney damage, most often determined by an elevated urine albumin (or protein)-to-creatinine ratio (ACR); or (2) reduced kidney function, indicated by GFR <60 ml/min per 1.73 m2. GFR is considered the best determinant of kidney function,1 and CKD is staged according to six GFR categories (G1, G2, G3a, G3b, G4, and G5) and three categories for urine ACR levels (A1, A2 and A3) (Table 1). There is a broad agreement that abnormal urine ACR should trigger a diagnosis of CKD, but controversy remains regarding the most appropriate diagnostic criteria regarding GFR.

Table 1. - Current CKD staging according to GFR and urine ACR
CDK Stage Measurement
GFR category GFR (ml/min per 1.73 m2)
 G1 ≥90
 G2 60–89
 G3a 45–59
 G3b 30–44
 G4 15–29
 G5 <15
ACR category Urine ACR (mg/g)
 A1 <30
 A2 30–300
 A3 >300

In this article, we will focus on the role of GFR in the definition of CKD. Laboratory thresholds for disease identification are commonly determined in two ways.2–4 First, the distribution of the laboratory results in a representative population of healthy persons is obtained and thresholds for defining disease are calculated according to extreme values based on this distribution (typically 95th or 97.5th percentile for “too high” and 2.5th or fifth percentile for “too low”). Second, a threshold associated with an adverse outcome is identified through epidemiologic studies. We will discuss these two strategies (reference distribution and prognosis) in the specific case of using GFR for CKD definition.

Current CKD Definition and Related Caveats

The current and widely adopted definition of CKD in adults is based on the 2013 Kidney Disease Improving Global Outcomes (KDIGO) guidelines.1 Although not entirely undisputed, we do recognize the merit of these guidelines, as they standardized the definition of CKD.5–11 Not only is GFR one of the two main criteria for diagnosis of CKD, an isolated GFR <60 ml/min per 1.73 m2 (confirmed with a second value after at least 90 days) suffices for the diagnosis of CKD. In other words, anyone with a GFR <60 ml/min per 1.73 m2 persisting for at least 3 months, by definition, has CKD, even if the urine ACR and structure or kidney morphology (ascertained by imaging or biopsy) are normal (e.g., category G3a GFR/stage A1 level of albuminuria), and irrespective of an individual’s age.

The considerations in favor of a fixed threshold at 60 ml/min per 1.73 m2 in the current CKD definition proposed by KDIGO are as follows:1

  1. Simplicity. Only one number needs to be kept in mind. This argument is understandably relevant for non-nephrologists and patients, but carries the risk of oversimplification of the complexities of kidney pathophysiology.
  2. Biology. A GFR <60 ml/min per 1.73 m2 is believed to represent <50% of the kidney function measured in healthy young adults.1 The choice of 50% of normal function is, however, arbitrary, and whether GFR in healthy young adults is actually about 120 ml/min per 1.73 m2 is debatable. This value was originally based on measured GFR (mGFR) values compiled and published in 1969 by Wesson.12 More recent studies have shown that median GFR values in healthy young adults are <120 ml/min per 1.73 m2.13–15 Indeed, one meta-analysis of mGFR data in 5482 living kidney donors found normal mean GFR values of 106.7 ml/min per 1.73 m2 at ages 20–30 years.14 Such values were also observed in a large cohort of 2007 French living kidney donors <40 years of age, with a mean mGFR of 107.2 ml/min per 1.73 m2.15
  3. Prognosis. The third argument for a threshold at 60 ml/min per 1.73 m2 was based on the association of lower GFR values with increased morbidity and mortality. Many large epidemiologic studies, especially from the CKD Prognosis Consortium, have seemingly supported the choice of the 60 ml/min per 1.73 m2 threshold for CKD. We will discuss this argument in depth below.

The Prognostic Argument for an Age-Adapted Definition of CKD

Absolute risks of mortality are typically higher in older patients simply because of the limited human life span. Regarding relative risk, several studies from the CKD Prognosis Consortium have demonstrated that GFR <60 ml/min per 1.73 m2 was independently associated with adverse outcomes, particularly cardiovascular events and all-cause mortality,16–28 thereby confirming findings from the seminal study published by Go et al.29 in 2004. Of note, most of the Consortium analyses of GFR and risk of adverse events in both high-risk and general populations use as the reference group participants with only a single eGFR available (hence, no confirmation of chronicity) of ≥95 ml/min per 1.73 m2.16–28 However, the Consortium’s 2012 meta-analysis, which was dedicated to age and included more than 2-million individuals from 46 different cohorts (33 from the general population and 13 CKD cohorts), used 80 ml/min per 1.73 m2 as the reference group eGFR rather than 95 ml/min per 1.73 m2.17 The associations with mortality and ESKD remained significant when eGFR was <60 ml/min per 1.73 m2 in all age categories, although hazard ratios were much lower in older people.17 Although the risk of ESKD was increased, the progression to ESKD in elderly patients with an eGFR of 45–59 ml/min per 1.73 m2 and no abnormal urine ACR is very rare (<1% risk in 5 years using the Kidney Failure Risk Equation).30

Given the critical importance of the choice of the reference group in such analyses, others have reanalyzed the data from the CKD Prognosis Consortium for mortality using different reference groups based on age (Figure 1).31–34 In these analyses,31,34 the reference eGFR group in each age category was defined as the one with the lowest mortality risk (in subsets with urine ACR <10 or 10–29 mg/g). The results revealed that, in the 55–64 years age category (reference eGFR 90–104 ml/min per 1.73 m2), the mortality risk began to increase when GFR fell below 60 ml/min per 1.73 m2. However, for people older than 65 years (reference eGFR 75–89 ml/min per 1.73 m2), the risk was trivial until the eGFR had fallen below 45 ml/min per 1.73 m2. In the youngest age category of 18–54 years (reference eGFR >105 ml/min per 1.73 m2), the risk of mortality started to increase when eGFR was <75 ml/min per 1.73 m2.31–34 Therefore, an age-specific analysis of the data used by the CKD Prognosis Consortium provides a strong argument for an age-adapted definition of CKD using appropriate prognostic strata for age.

fig1
Figure 1.:
The association between eGFR and all-cause mortality depends on the age group. Hazard ratio for mortality when the reference group is the one with the lowest risk. eGFR ranges are within the brackets (low risk) and are not significantly different from the reference group (from Denic et al. 34).

Tables 2 and 3 summarize the studies on associations between eGFR and risk of adverse events outside of the CKD Prognosis Consortium. The analysis considered only published full-length articles. We included studies that used creatinine-based equations (Modification of Diet in Renal Disease study or CKD Epidemiology Collaboration [CKD-EPI] equations) and reported adjusted risks of cardiovascular or all-cause mortality.29,35–55 We excluded studies that had only participants with eGFR categories G3–G5 and those without older individuals. Instead, we focused on studies that were performed in elderly individuals or reported results in separate age categories. Our main hypothesis was that the increased risk of mortality associated with lower eGFR differs across age categories and, notably, that an eGFR of 45–60 ml/min per 1.73 m2 in older age groups is not associated with excess mortality.

Table 2. - Characteristics of studies that investigated outcomes in relation to GFR in general populations
Author (reference) Study Name Country Time Period of Data Collection Number of Subjects (N) Age in years (mean±SD/median and IQR) and Other Potentially Relevant Characteristics Follow-Up Time (years) Clinical Cohort/General Population
Manjunath et al. 35 Cardiovascular Health Study United States 1989–1990 4893 73.4 (mean) 5.05 (maximum) GP
Go et al. 29 Kaiser Permanente Renal Registry United States 1996–2000 1,120,295 52.2±16.3 (mean±SD) 2.84 (median)
1.65–4.01 (IQR) GP (health insurer)
O’Hare et al. 36 Department of Veterans Affairs United States 2001–2002 2,583,911 63.6±14 (mean±SD)
95% men 3.17±0.62 (mean±SD) GP (health care provider)
Maaravi et al. 37 Jerusalem Seventy-Year-Old Longitudinal Study Israel 1990–1991 441 70 (all) 12 (maximum) GP
Hallan et al. 38 HUNT II Norway 1995–1997 9709 All with DM or treated HT plus 5% random sample. DM/HT age 65.9±11.9 (mean±SD); random non-DM/HT age 49.6±16.0 (mean±SD) 8.3 (median) GP (health survey); population based, but in fact a “high-risk” study population
Raymond et al. 56 NA United Kingdom 2000–2003 106,366 57.7±19.1 (mean±SD) 3 (maximum) GP
Brantsma et al. 39 PREVEND Netherlands 1997–1998 8495 49.2±12.7 (mean±SD) 7.5 (median)
6.9–7.8 (IQR) GP (oversampling of individuals with elevated ACR levels)
Hwang et al. 40 Elderly Health Examination Program Taiwan 2002–2004 35,529 75.7±5.3 (mean±SD) From 2.6±0.3 (mean±SD) for eGFR ≥60 ml/min to 2.3±0.7 (mean±SD) for stage 5 GP
Roderick et al. 41 MRC General Practice Research Framework United Kingdom 1994–1999 13,177 80.2 (median)
IQR 6.9 7.3 (median)
IQR 5 GP (primary care)
Van der Velde et al. 42 PREVEND Netherlands 1997–1998 8047 49±13 (mean±SD) 7.0±1.6 (mean±SD) GP (oversampling of individuals with elevated ACR levels)
Muntner et al. 43 REGARDS United States 2003–2007 24,350 ≥45 4.5 (median) GP (oversampling of black people)
Stengel et al. 44 Three-City France 1999–2001 8705 74.3±5.5 (mean±SD) 6 (maximum) GP
Van Pottelbergh et al. 45 BELFRAIL Belgium 2008–2009 539 84.7±3.6 (mean±SD) 2.9±0.3 GP (primary care)
Oh et al. 46 KloSHA Korea 2005–2006 949 75.8±9.0 (mean±SD) 5.3±1.4 (mean±SD) GP
Minutolo et al. 47 Health Search/Cegedim Strategic Data Longitudinal Patient Database Italy 2003–2005 30,326 71.0±11.0 (mean±SD) 7.2 (median)
4.7–7.7 (IQR) GP (primary care); population without nephrology consultation at baseline
Malmgren et al. 48 OPRA Sweden NA 1011 75.2±0.2 (mean±SD)
100% women 10 (all) GP
Chowdhury et al. 49 ANBP2 Australia NA 6083 71.9±4.9 (mean±SD) 10.8 (median)
9.6–11.4 (IQR) RCT participants; hypertensive population
Nagai et al. 50 Ibaraki Prefecture Japan 1993 89,547 Men 60.2 (mean) Women 57.8 (mean) 17.1 (mean) GP (exclusion of those with history of CVD)
Corsonello et al. 51 InChianti Italy 1998–2000 828 74.4±6.9 (mean±SD) 9 (maximum) GP
Wu et al. 52 Kailuan Study China 2006–2007 95,391 52.0±12.6 (mean±SD) 8 (maximum) GP
GP, general population; IQR, interquartile range; DM, diabetes mellitus; HT, hypertension; NA, not available; HUNT, Nord-Trøndelag Health Study; PREVEND, Prevention of Renal and Vascular Endstage Disease; MRC, Medical Research Council; REGARDS, Reasons for Geographic and Racial Differences in Stroke; KloSHA, Korean Longitudinal Study on Health and Aging; OPRA, Osteoporosis Risk Assessment; ANBP2, Second Australian National Blood Pressure Study; RCT, randomized controlled trial; CVD, cardiovascular disease.

Table 3. - Findings of studies that investigated outcomes in relation to GFR in general populations
Author (reference) Study Name eGFR/ACR (GFR equation) Outcome Studied (ACM or CVM) Comparison Made and Reference Category Adjusted Hazard Ratios in Exposure Categories Comments
Manjunath et al. 35 Cardiovascular Health Study MDRD ACM 90–130 ml/min per 1.73 m2 60–89 ml/min 1.05 (0.78–1.41)
15–59 ml/min 1.47 (1.05–2.06)
Go et al. 29 Kaiser Permanente Renal Registry MDRD ACM
CV events ≥60 ml/min per 1.73 m2 ACM: In a subgroup where chronicity was confirmed (repeated serum creatinine measurements) (n=172,144), eGFR at 45–59 ml/min was not associated with ACM 1.0 (1.0–1.1)
45–59 ml/min 1.2 (1.1–1.2)
30–44 ml/min 1.8 (1.7–1.9)
15–29 ml/min 3.2 (3.1–3.4)
<15 ml/min 5.9 (5.4–6.5)
CV events:
45–59 ml/min 1.4 (1.4–1.5)
30–44 ml/min 2.0 (1.9–2.1)
15–29 ml/min 2.8 (2.6–2.9)
<15 ml/min 3.4 (3.1–3.8)
O’Hare et al. 36 Department of Veterans Affairs MDRD ACM ≥60 ml/min per 1.73 m2 18–44 yr: In younger age categories, adjusted HRs were higher and statistically significant already from 50 to 59 ml/min. In younger people and elderly with stable eGFR adjusted HRs were lower in all eGFR categories, 50–59 ml/min was not associated with ACM. Findings suggest that mortality risk stratification in younger and elderly people should not be based on the same eGFR cut-off points
50–59 ml/min 1.56 (1.30–1.88)
40–49 ml/min 1.90 (1.35–2.67)
30–39 ml/min 3.58 (2.54–5.05)
45–54 yr:
50–59 ml/min 1.27 (1.19–1.36)
40–49 ml/min 1.89 (1.74–2.06)
30–39 ml/min 2.89 (2.63–3.18)
55–64 yr:
50–59 ml/min 1.18 (1.13–1.23)
40–49 ml/min 1.75 (1.65–1.85)
30–39 ml/min 2.43 (2.27–2.59)
65–74 yr:
50–59 ml/min 1.02 (0.99–1.05)
40–49 ml/min 1.35 (1.32–1.39)
30–39 ml/min 1.81 (1.75–1.87)
75–84 yr:
50–59 ml/min 1.02 (0.99–1.04)
40–49 ml/min 1.21 (1.18–1.23)
30–39 ml/min 1.55 (1.51–1.58)
85+ yr:
50–59 ml/min 1.02 (0.97–1.06)
40–49 ml/min 1.10 (1.05–1.15)
30–39 ml/min 1.36 (1.29–1.44)
Maaravi et al. 37 Jerusalem Seventy-Year-Old Longitudinal Study MDRD
CG
Mayo Clinic ACM ≥60 ml/min per 1.73 m2
Results presented for MDRD <60 ml/min 1.19 (0.83–1.71)
Hallan et al. 38 HUNT II MDRD CVM ≥75 ml/min per 1.73 m2 and optimal ACR; ACR below sex-specific median (<5 and 7 mg/g in men and women) <70 yr:
Optimal ACR:
60–74 ml/min 1.17 (0.35–3.91)
45–59 ml/min 0.73 (0.26–2.02)
<45 ml/min 1.08 (0.19–6.10)
High normal ACR:
60–74 ml/min 1.53 (0.55–4.26)
45–59 ml/min 3.29 (1.02–10.6)
<45 ml/min 2.57 (0.88–7.51)
Micro-albuminuria:
60–74 ml/min 1.92 (0.71–5.16)
45–59 ml/min 2.22 (0.87–5.70)
<45 ml/min 5.94 (2.06–17.2)
≥70 yr:
Optimal ACR:
60–74 ml/min 0.79 (0.30–2.10)
45–59 ml/min 2.48 (0.76–8.13)
<45 ml/min 1.49 (0.46–4.86)
High normal ACR:
60–74 ml/min 1.68 (0.61–4.69)
45–59 ml/min 1.93 (0.63–5.92)
<45 ml/min 4.70 (1.57–14.1)
Micro-albuminuria:
60–74 ml/min 3.80 (1.33–10.80)
45–59 ml/min 4.09 (1.52–10.90)
<45 ml/min 8.38 (2.83–24.9)
Raymond et al. 56 NA MDRD ACM ≥60 ml/min per 1.73 m2 20–44 yr:
Stage 3a 13.6 (6.2–29.8)
Stage 3b 12.1 (4.0–36.5)
Stage 4 17.4 (5.9–51.4)
Stage 5 26.1 (9.1–74.8)
45–54 yr:
Stage 3a 7.5 (4.4–12.6)
Stage 3b 13.6 (7.5–24.7)
Stage 4 4.6 (1.2–17.4)
Stage 5 28.6 (17.4–47.2)
55–64 yr:
Stage 3a 3.0 (2.2–4.1)
Stage 3b 5.9 (3.9–8.9)
Stage 4 9.3 (6.1–14.2)
Stage 5 18.2 (13.9–23.9)
65–74 yr:
Stage 3a 1.8 (1.5–2.1)
Stage 3b 3.2 (2.6–3.9)
Stage 4 5.2 (4.1–6.5)
Stage 5 7.6 (5.7–10.1)
75–84 yr:
Stage 3a 1.2 (1.0–1.3)
Stage 3b 1.9 (1.7–2.1)
Stage 4 3.3 (2.9–3.8)
Stage 5 4.4 (3.7–5.3)
85+ yr:
Stage 3a 0.9 (0.8–1.0)
Stage 3b 1.3 (1.2–1.5)
Stage 4 1.8 (1.7–2.0)
Stage 5 2.5 (2.3–2.8)
Brantsma et al. 39 PREVEND MDRD
ACR CVM and CV hospitalization combined No CKD Stage 1 2.2 (1.5–3.3)
Stage 2 1.6 (1.3–2.0)
Stage 3 1.3 (1.0–1.7)
Stage 3 with UAE <30 mg/24 h 1.0 (0.7–1.4)
Stage 3 with UAE >30 mg/24 h 1.6 (1.1–2.3)
Hwang et al. 40 Elderly Health Examination Program MDRD ACM
CVM ≥60 ml/min per 1.73 m2 ACM:
45–59 ml/min 1.10 (1.0–1.2)
30–44 ml/min 1.52 (1.3–1.8)
15–29 ml/min 2.1 (1.7–2.6)
<15 ml/min 2.55 (1.8–3.6)
CVM:
45–59 ml/min 1.30 (1.0–1.7)
30–44 ml/min 2.42 (1.7–3.4)
15–29 ml/min 3.62 (2.3–5.8)
<15 ml/min 3.22 (1.3–8.3)
Roderick et al. 41 MRC General Practice Research Framework MDRD
Dipstick proteinuria ACM
CVM in those without CVD at baseline ≥60 ml/min per 1.73 m2; proteinuria negative ACM after 0–2 yr: Short-term (0–2 yr) eGFR-related risk is higher than long term (>2 yr) risk (not shown)
Men:
45–59 ml/min 1.13 (0.93–1.37)
30–44 ml/min 1.69 (1.26–2.28)
<30 ml/min 3.87 (2.78–5.38)
Women:
45–59 ml/min 1.14 (0.93–1.40)
30–44 ml/min 1.33 (1.06–1.68)
<30 ml/min 2.44 (1.68–3.56)
CVM after 0–2 yr:
Men:
45–59 ml/min 1.67 (1.15–2.43)
30–44 ml/min 1.60 (0.94–2.73)
<30 ml/min 2.89 (1.22–6.84)
Women:
45–59 ml/min 1.59 (1.01–2.50)
30–44 ml/min 1.45 (0.93–2.28)
<30 ml/min 3.80 (1.87–7.75)
ACM:
Men:
Proteinuria positive
>60 ml/min 1.29 (1.07–1.56)
45–59 ml/min 1.25 (1.02–1.52)
30–44 ml/min 1.08 (0.82–1.42)
<30 ml/min 0.95 (0.56–1.59)
Women:
Proteinuria positive
>60 ml/min 1.19 (0.96–1.47)
45–59 ml/min 0.94 (0.77–1.15)
30–44 ml/min 1.39 (1.10–1.77)
<30 ml/min 1.70 (1.15–2.52)
CVM:
Men:
Proteinuria positive
>60 ml/min 1.05 (0.70–1.57)
45–59 ml/min 1.31 (0.91–1.89)
30–44 ml/min 0.83 (0.47–1.46)
<30 ml/min 0.97 (0.35–2.68)
Women:
Proteinuria positive
>60 ml/min 1.18 (0.80–1.74)
45–59 ml/min 0.93 (0.65–1.32)
30–44 ml/min 1.34 (0.88–2.03)
<30 ml/min 2.79 (1.40–5.54)
Van der Velde et al. 42 PREVEND MDRD
CKD-EPI SCr
CysC
SCr-CysC
Creatinine clearance Fatal and nonfatal CV events +10 ml/min per 1.73 m2 increase in eGFR. Results presented for CKD-EPI <60 yr: The association between eGFR and risk of CV events is weaker in elderly subjects than in younger subjects
0.70 (0.62–0.79)
≥60 yr:
1.02 (0.92–1.13)
Muntner et al. 43 REGARDS CKD-EPI
ACR ACM ≥60 ml/min per 1.73 m2 45–59 yr: If ACR is <10 mg/g, the results are similar:
45–59 yr:
45–60 ml/min 2.5 (1.3–4.6) 45–60 ml/min 4.5 (1.8–11.1)
<45 ml/min 3.5 (1.8–6.8) <45 ml/min 4.7 (0.7–34.2)
60–69 yr: 60–69 yr:
45–60 ml/min 1.7 (1.3–2.3) 45–60 ml/min 1.9 (1.2–3.1)
<45 ml/min 2.2 (1.6–3.0) <45 ml/min 2.5 (1.0–6.1)
70–79 yr: 70–79 yr:
45–60 ml/min 1.1 (0.9–1.3) 45–60 ml/min 1.1 (0.8–1.6)
<45 ml/min 1.9 (1.5–2.4) <45 ml/min 2.1 (1.2–3.6)
≥80 yr: ≥80 yr:
45–60 ml/min 1.3 (1.0–1.7) 45–60 ml/min 1.4 (0.9–2.2)
<45 ml/min 1.5 (1.1–2.0) <45 ml/min 1.6 (0.9–2.8)
Stengel et al. 44 Three-City CKD-EPI
MDRD ACM
CVM ≥75–89 ml/min per 1.73 m2; results presented for CKD-EPI ACM:
60–74 ml/min 0.9 (0.8–1.1)
45–59 ml/min 1.1 (0.9–1.3)
30–44 ml/min 2.0 (1.5–2.7)
<30 ml/min 3.3 (2.0–5.5)
CVM:
60–74 ml/min 0.9 (0.6–1.3)
45–59 ml/min 1.6 (1.1–2.3)
30–44 ml/min 3.1 (1.8–5.0)
<30 ml/min 4.3 (1.8–10.2)
Van Pottelbergh et al. 45 BELFRAIL MDRD
CKD-EPI SCr
CKD-EPI CysC
CKD-EPI SCr-CysC
BIS-2 SCr-CysC ACM and RRT combined 60–90 ml/min per 1.73 m2; results presented for CKD-EPI SCr 45–60 ml/min 1.65 (1.05–2.61)
30–45 ml/min 1.72 (1.03–2.88)
<30 ml/min 5.04 (2.95–8.60)
Oh et al. 46 KLoSHA CKD-EPI
Disptick proteinuria ACM ≥90 ml/min per 1.73 m2; proteinuria negative 60–89 ml/min 1.37 (0.75–2.52) If proteinuria:
Trace 1.24 (0.78–1.96) ≥1+1.73 (1.13–2.63)
45–59 ml/min 1.65 (0.84–3.25)
<45 ml/min 2.36 (1.17–4.75)
Minutolo et al. 47 Health Search/Cegedim Strategic Data Longitudinal Patient Database MDRD ACM ≥60 ml/min per 1.73 m2 ACM:
Stage 3a 1.11 (0.99–1.23)
Stage 3b 1.66 (1.49–1.86)
Stage 4 2.75 (2.41–3.13)
Stage 5 2.54 (2.01–3.22)
Malmgren et al. 48 OPRA CKD-EPI
MDRD
Revised Lund-Malmö
BIS-1
CG ACM ≥60 ml/min per 1.73 m2; results presented for CKD-EPI 75–80 yr:
45–60 ml/min 1.1 (0.6–2.0)
0–45 ml/min 4.5 (2.2–9.2)
75–85 yr:
45–60 ml/min 1.4 (1.0–1.9)
0–45 ml/min 3.5 (2.1–5.8)
80–85 yr:
45–60 ml/min 1.7 (1.1–2.6)
0–45 ml/min 2.6 (1.4–5.0)
Chowdhury et al. 49 ANBP2 MDRD
CKD-EPI ACM
CVM ≥60 ml/min per 1.73 m2; results presented for CKD-EPI ACM:
45–59 ml/min 1.13 (1.01–1.27)
30–44 ml/min 1.65 (1.37–1.99)
<30 ml/min 5.16 (3.17–8.42)
CVM:
45–59 ml/min 1.05 (0.89–1.23)
30–44 ml/min 1.64 (1.27–2.13)
<30 ml/min 5.60 (2.32–13.51)
Nagai et al. 50 Ibaraki Prefecture MDRD ACM
CVM ≥60 ml/min per 1.73 m2 ACM:
Men:
40–69 yr:
45–49 ml/min 1.33 (1.06–1.67)
30–44 ml/min 1.53 (1.20–1.96)
70–80 yr:
45–49 ml/min 1.02 (0.82–1.25)
30–44 ml/min 1.63 (1.33–2.00)
Women:
40–69 yr:
45–49 ml/min 1.50 (1.27–1.78)
30–44 ml/min 2.21 (1.81–2.71)
70–80 yr:
45–49 ml/min 1.19 (1.02–1.38)
30–44 ml/min 1.53 (1.31–1.79)
CVM:
Men:
40–69 yr:
45–49 ml/min 1.82 (1.23–2.69)
30–44 ml/min 1.65 (1.04–2.62)
70–80 yr:
45–49 ml/min 1.03 (0.72–1.48)
30–44 ml/min 1.37 (0.93–2.02)
Women:
40–69 yr:
45–49 ml/min 1.34 (0.98–1.82)
30–44 ml/min 2.24 (1.58–3.17)
70–80 yr:
45–49 ml/min 1.43 (1.14–1.79)
30–44 ml/min 1.57 (1.23–2.00)
Corsonello et al. 51 InChianti CKD-EPI SCr
BIS-1 SCr
FAS
CKD-EPI SCr-CysC
BIS-2 SCr-CysC ACM ≥90 ml/min per 1.73 m2; results presented for CKD-EPI SCr 60–89.9 ml/min 1.63 (0.84–3.17)
45–59.9 ml/min 2.50 (1.21–5.15)
30–44.9 ml/min 5.44 (1.10–27.7)
<30 ml/min 7.42 (1.79–30.6)
Wu et al. 52 Kailuan Study CKD-EPI
Dipstick proteinuria ACM ≥ 90 ml/min per 1.73 m2 All:
60–89 ml/min 1.01 (0.93–1.09)
45–59 ml/min 1.11 (0.99–1.24)
<45 ml/min 1.51 (1.30–1.74)
Men:
60–89 ml/min 1.01 (0.94–1.10)
45–59 ml/min 1.11 (0.99–1.23)
<45 ml/min 1.35 (1.17–1.57)
Women:
60–89 ml/min 1.65 (1.16–2.34)
45–59 ml/min 1.92 (1.25–2.96)
<45 ml/min 4.11 (2.50–6.76)
ACM, all-cause mortality; CVM, cardiovascular mortality; MDRD, Modified Diet in Renal Disease Study equation; CV, cardiovascular; HR, hazard ratio; CG, Cockcroft and Gault formula; MRC, Medical Research Council; CVD, cardiovascular disease; HUNT, Nord-Trøndelag Health Study; PREVEND, Prevention of Renal and Vascular Endstage Disease; CysC, cystatin C; REGARDS, Reasons for Geographic and Racial Differences in Stroke; KLoSHA, Korean Longitudinal Study on Health and Aging; NA, not available; OPRA, Osteoporosis Risk Assessment; ANBP2, Second Australian National Blood Pressure Study; SCr, serum creatinine; BIS1, Berlin Initiative Study; FAS, full age spectrum.

When looking at studies that presented a separate eGFR category of 45–60 ml/min per 1.73 m2 and used eGFR >60 ml/min per 1.73 m2 as a reference category, only a few studies demonstrated an increased risk,43,45,49,56 whereas others did not.40,41,47,48 The largest study to date included a separate analysis of individuals with an eGFR of 50–60 ml/min per 1.73 m2 in the older age categories. The results showed that, in this eGFR category, the risk of death was not higher than in the category eGFR>60 ml/min per 1.73 m2.36 In addition, the Renal Risk in Derby study deserves particular attention, as it included follow-up data on eGFR.55 A total of 1741 participants, most with confirmed CKD, were prospectively followed for 5 years. The mean age of the cohort was 72.9±9 years, the mean eGFR using the CKD-EPI equation was 54±12 ml/min per 1.73 m2, and most participants had normal urine ACR. After 5 years, 34.1% of the cohort was considered to be stable and 19.3% had even improved their GFR category. Nearly all of the participants who improved their CKD status had been classified as category G3a/A1 at baseline.55 Interestingly, the age- and sex-standardized mortality rates of those with category G3a GFR were similar to those in the general population, whereas those with category G3b or G4 at baseline had higher mortality rates.55,57

Regarding the prognosis argument, we acknowledge that our proposal of an age-adapted definition for CKD is mainly based on mortality risk. We did not consider other outcomes, even though other publications have reported the risk of lower GFR with classic metabolic complications of CKD (anemia, hyperparathyroidism, acidosis, hyperphosphoremia)58,59 and other clinical complications (such as frailty, impaired quality of life, and fracture).60,61 These studies, unfortunately, are of little utility in informing our proposal of an age-adapted threshold. Although higher risk of these complications is frequently observed when eGFR is <45 ml/min per 1.73 m2,58 results are much more variable at higher eGFRs (unlike mortality, the definitions of specific complications or of clinical status are not uniform).

In summary, most studies showed no or a trivial additional mortality risk for older adult participants with an eGFR of 45–59 ml/min per 1.73 m2 and normal urine ACR. Prognostic arguments thus favor an age-adapted threshold for eGFR in the CKD definition.

Kidney Senescence as an Argument for an Age-Adapted Definition of CKD

Another concern with a GFR threshold fixed at 60 ml/min per 1.73 m2 is that it fails to account for the distinct microstructural and macrostructural differences between the aging kidney and kidneys affected by CKD. It also does not take into account the fact that a substantial proportion of healthy older people have an mGFR of <60 ml/min per 1.73 m2.

Structural Differences Between Aging Kidney and CKD

Among healthy kidney donors, aging is reflected by an indolent nephrosclerosis, characterized by arteriosclerosis, ischemic globally (but not segmentally) sclerotic glomeruli, and interstitial fibrosis and tubular atrophy.62 Although the interstitial fibrosis and tubular atrophy that occur with aging are fairly minimal,62 there is a substantial nephron loss and dropout (from about 1,000,000 nephrons per kidney in healthy adults aged 18–29 years to 500,000 per kidney in healthy individuals aged 70–75 years).63 Despite this substantial nephron loss with age, there is no compensation by the remaining nephrons because glomerular volume, single-nephron GFR, and single-nephron glomerular filtration capacity remain stable.63–65

CKD, on the other hand, is often characterized by disease-specific pathology that differs from age-induced nephrosclerosis. CKD can include unique microstructural findings (such as specific immunofluorescence staining patterns) or macrostructural findings (such as polycystic kidney or renal artery stenosis) that are not seen with aging alone. Although risk factors for CKD such as obesity, diabetes, and hypertension are associated with nephrosclerosis, they are also associated with glomerular enlargement, segmental glomerulosclerosis, and higher single-nephron GFR in intact nonsclerotic glomeruli.63,64 Only when the degree of global glomerulosclerosis exceeds that expected for age or when there is increased metabolic demand (e.g., obesity and hyperglycemia) is there an increase in single-nephron GFR. Therefore, application of age-adapted thresholds for glomerulosclerosis is also useful with kidney biopsies performed in clinical care, as only glomerulosclerosis exceeding that expected for age is a risk factor for CKD progression.66,67

Decline of GFR with Aging

As already stated, the definition of normality for laboratory results can also be obtained by the distribution of the results in healthy populations. Establishing reference interval values with a fixed threshold, as per the KDIGO guidelines, would mean that the GFR reference values are constant across all age categories.13,14,68–81 However, more reliable studies, using mGFR and living kidney donors or healthy individuals selected from the general population, indicate a clear decrease in GFR with age13–15,64,68–90 and show that the rate of mGFR decline becomes significant after age 40 years.2,12–15,73,76,80,85,88,91,92 Importantly, such a decline in mGFR with aging has been established on different continents and in different ethnic groups.68,77,79–81,87,89 From these data, it is obvious that a substantial proportion of healthy older people have an mGFR of <60 ml/min per 1.73 m2, despite the paucity of studies focusing on the elderly and using mGFR.

Regarding eGFR,93–95 available cross-sectional studies from different parts of the world confirmed that many people older than 65 years of age have an eGFR value <60 ml/min per 1.73 m2, suggesting a rather ubiquitous decline of eGFR with age.13,68,96–101 Unfortunately, the few published longitudinal studies have shown discrepancies in the rate of kidney function decline or suffered from methodological limitations, such as use of eGFR or 24-hour creatinine clearance, inclusion of nonhealthy individuals, limited follow-up duration, and study attrition, making it difficult to draw a definitive conclusion about the magnitude of the average rate of GFR decline with aging.

Despite these limitations, all studies have shown a significant decline in GFR with aging in the majority of healthy participants.48,96,102–114 The only longitudinal study using mGFR in a healthy general population is the Renal Iohexol Clearance Survey in Tromsø 6, which included a representative sample of 1594 white people aged 50–62 years from the general population without CKD, diabetes, or cardiovascular disease. The iohexol clearance measurement was repeated in 1299 (81%) patients after a median period of 5.6 years. The authors showed a mean GFR decline rate of 0.84±2.00 ml/min per year (or 0.95±2.23 ml/min per 1.73 m2 per year). Although this may be the most valid study to date, it nevertheless was limited by its inclusion of only middle-aged white people and by its relatively short follow-up, with only two measurements in the majority of participants.114

Proposals for an Age-Adapted CKD Definition

The concept of an age-adapted definition of CKD is not new and has been proposed by a number of authors.2,3,8,10,31,33,34,36,64,98,99,115–124 Such adaptation could be achieved in different ways. We emphasize that the suggested change in CKD definition should pertain only to people without other evidence of kidney damage (notably those with normal urine ACR).

Age-Related Percentiles of GFR

One way to achieve an age-adapted definition of CKD is to refer to percentiles of GFR in the healthy population, which are available in the literature for mGFR or eGFR in different ethnic groups.13,68,96–99 In practice, this would mean interpreting a GFR result in light of age-specific GFR percentiles, and defining CKD as a value below a given percentile in healthy persons (Figure 2). By relating measurements to percentiles using different mGFR or eGFR methods, this approach may overcome differences in mGFR measurement techniques125,126 or eGFR equations.93,94,127 Using percentiles for each year of age minimizes the “birthday paradox,” in which healthy people can become classified as having a disease or individuals with a disease can “recover” simply by becoming 1 year older; this problem is inherent to a single -threshold approach or an age-based approach with only a few thresholds.

fig2
Figure 2.:
The interpretation of GFR results depends on age. Examples of interpretation of GFR (here GFR estimated using the FAS equation but the same can be applied to measured GFR or eGFR using other estimating equations) according to age and normal percentiles: abnormal (bottom) and normal (below) GFR result. The red circle corresponds to FAS=48 ml/min per 1.73 m2 (serum creatinine [SCr]=1.3 mg/dl corresponds to SCr/Q=1.3/0.9=1.44>1.33) and the green circle corresponds to FAS=58 ml/min per 1.73 m2 (SCr=1.1 mg/dl corresponds to SCr/Q=1.22<1.33). These results are abnormally low and normal predicted eGFR-FAS results with the age-adapted staging, respectively. Dark green shaded area corresponds to reference intervals for mGFR±SD and symmetrical limits for FAS based on SCr/Q=1 (middle line) and SCr/Q=1.33 (lower limit) (14). Light green area corresponds to the upper limit for FAS, based on SCr/Q=0.67. The interval (0.67 to 1.33) is considered the reference interval for SCr/Q. FAS, full age spectrum. Q, median SCr from healthy populations to account for age and sex.

By employing age-specific means and SDs, the individual patient levels can be transformed into a SD score (SDS), a metric commonly used in pediatrics (or even in adults for diagnosing diseases like osteoporosis, using bone mass density). An SDS value of ≤−2 corresponds to an mGFR/eGFR at the 2.5th percentile or lower. Calculation of an SDS requires well characterized reference values across the entire age spectrum. Using these data, GFR SDS can be reported directly by the laboratory, analogous to reporting the eGFR results. The SDS is independent of age and method and is therefore ideal for follow-up. Furthermore, reference values may be included in the laboratory report (Figure 2).

A Limited Set of Age-Specific Thresholds

One can consider the CKD staging based on three pivotal age categories (Figure 3): <40 years, 40–65 years, and >65 years. We suggest GFR cut-offs of 75 ml/min per 1.73 m2 for the youngest group, 60 ml/min per 1.73 m2 for individuals aged 40–65 years, and 45 ml/min per 1.73 m2 for those older than 65 years. In other words, in individuals older than 65 years, the current CKD category G3a/A1 (GFR 45–60 ml/min per 1.73 m2) would not be considered to have CKD. Moreover, younger adults with a GFR <75 ml/min per 1.73 m2 would be considered to have CKD, as their kidney function is below what would be expected for their age.31,34,97,120,123,128,129 The choice of the different GFR thresholds can be justified by associations of these thresholds with prognosis (Figure 1).

fig3
Figure 3.:
Age-specific thresholds in relation to age-specific GFR percentiles. GFR cut-off values and percentiles according to age (here percentiles of eGFR are calculated using the FAS equation). The bold line represents an age-adapted threshold for CKD: 75 ml/min per 1.73 m2 for age below 40 years, 60 ml/min per 1.73 m2 for age between 40 and 65 years, and 45 ml/min per 1.73 m2 for age above 65 years. The dashed line represents the median (50th percentile) and the thin solid lines represent the 97.5th and 2.5th percentiles. The shaded zone is considered as below the normal reference intervals for GFR (<2.5th percentile).

Potential Effect of an Updated Definition of CKD

A modification of the CKD definition would have a substantial effect on the estimation of CKD prevalence. The KDIGO guidelines used the data from the National Health and Nutrition Examination Survey (NHANES) study (1999–2006) and estimated the CKD prevalence in the US adult general population at 11.5%. Individuals with a GFR of 45–59 ml/min per 1.73 m2 and normal urine ACR represented 3.6% of the general population, and 75% of patients that are classified with CKD solely by the GFR criterion. Individuals with category G3a/A1 represented >30% of all people with CKD.1 CKD categories 3 or 3a are unequivocally the largest or second largest group in terms of CKD prevalence in other studies as well.47,48,55,56,97,123,130–139 The epidemiologic literature clearly shows that CKD prevalence increases with age when using the fixed-threshold CKD definition of 60 ml/min per 1.73 m2.1,48,56,97,101,123,130–134,138–143 Most older subjects defined as having CKD have a GFR of 45–59 ml/min per 1.73 m2 and normal urine ACR, whereas the younger individuals more frequently have elevated urine ACR and GFR >60 ml/min per 1.73 m2.53,97,134,144 Thus, among the 3.6% of the general population with normal urine ACR and a GFR of between 45–59 ml/min per 1.73 m2 in the NHANES (1999–2006) cohort, a large proportion are adults older than 65 years, without any other signs of kidney damage. These individuals would be considered free of disease with the age-adapted definition proposed above. Likewise, results from the MAREMAR (Maladies Rénales Chroniques au Maroc) study crucially illustrate the important effect of an age-adapted definition on the CKD prevalence. Among the 10,524 individuals screened, 2.7% had a confirmed eGFR <60 ml/min per 1.73 m2. However, almost half of those with eGFR <60 ml/min per 1.73 m2 had an eGFR above the third percentile of the population. These people, all older than 55 years and with normal dipstick analysis, would not be considered to have CKD with the age-adapted definition (using age-related percentiles) and the estimated CKD prevalence based on GFR would decrease from 2.7% to 1.8%, a 33% decrease.97

The current fixed GFR threshold of 60 ml/min per 1.73 m2 not only results in overdiagnosis of CKD in the older adults, it may also lead to missed diagnoses of CKD in younger individuals who lack overt signs of kidney damage and have a GFR above the fixed threshold of 60 ml/min per 1.73 m2 but below the lowest percentile for their age. This group may include young people with low-nephron endowment, such as individuals born with a single kidney,145 those born preterm146 or at a low birth weight, patients with Down syndrome,147 or young people with a past history of treatment with nephrotoxic drugs.148 Such individuals are at risk for developing progressive CKD over their remaining lifetime, and may experience associated comorbidities and adverse events, including an increase in mortality.33,97,123,129

Because the availability of curative therapies is limited, treatment of CKD rests on the prevention of progressive kidney damage. The sooner younger people with CKD are identified, the greater the likelihood that poor health outcomes may be prevented. In the MAREMAR study, young individuals with a low-for-age GFR represented 1.3% of the population.97 These persons remain unrecognized in most epidemiologic studies that use a fixed GFR threshold of 60 ml/min per 1.73 m2.97,123 Using SDS, percentiles, or age-adapted staging in the definition of CKD would result in classifying these patients as having a disease. Further research, with a focus on long-term follow-up data, is warranted to elucidate whether such patients should be considered at risk for adverse renal or other disease-related outcomes.

Moving from a CKD definition with a fixed GFR threshold to a definition based on GFR adapted to age has several advantages. These include:

  1. taking into account the physiologic age-related decline in GFR.
  2. fitting with reference distributions of mGFR and eGFR in healthy individuals.
  3. consistency with the observed associations between low GFR and prognosis.
  4. reconciling the two ways to define a disease—namely, the distribution of laboratory findings and the prognostic approach.
  5. facilitating the identification, evaluation, and treatment of younger patients with a GFR that is too low for their age.
  6. avoiding overdiagnosis of CKD in elderly patients.
Use of an age-adapted definition of CKD will also result in a much lower global CKD prevalence (perhaps by as much as 50%), particularly for elderly individuals. However, given that older adults without increased urine ACR or other signs of kidney damage usually have slightly decreased GFR that is physiologic and will on average remain stable (or could even improve) during follow-up, and have a mortality risk similar to those with higher GFR, there is no reason to consider such older individuals as living with a disease that requires investigations, referrals, and even therapeutic interventions with potential side effects.149 At an individual level, applying a CKD status to older people (“D” meaning “disease”) can sometimes be a source of unjustified stress. In some countries, this diagnosis can also lead to adverse consequences in terms of insurance. Using the age-adapted CKD definition could eventually result in more appropriate attention and directing resources to those who are at higher risk of adverse outcomes associated with CKD.

Disclosures

Dr. Jager declared speaker honoraria from Fresenius and received grant support from European Renal Association – European Dialysis and Transplant Association. Dr. Schaeffner declared speaker honoraria from Fresenius Medical Care, Fresenius Kabi, and Siemens Health Care. Dr. White received grant support from Academic Health Science Center Alternate Funding Plan Innovation Fund. Dr. Melsom declared speaker honoraria from Astellas, Norwegian evening summit, American Society of Nephrology, 2018, and grants from Boehringer Ingelheim AS, outside the submitted work. Dr. van Londen declared speaker honoraria from Fresenius Medical Care. Dr. Rule declared royalties as “UpToDate” author on “The Aging Kidney.” Dr. van der Giet reports personal fees from Novartis, personal fees from Bayer, personal fees and “other” from IEM, personal fees and other from Charité Research Organization, grants from Deutsche Forschungsgemeinschaft, grants from Else Kröner Freseniusstiftung, personal fees from Berlin Chemie, personal fees from Otsuka, personal fees from Servier, and personal fees from CVRX, outside the submitted work. Dr. Glassock reports other from Wolters-Kluwer, outside the submitted work. Dr. Rule reports grants from National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, during the conduct of the study. All authors are members of the ERA-EDTA European Kidney Function Consortium.

Published online ahead of print. Publication date available at www.jasn.org.

See related perspectives, “Does eGFR by Any Number Mean the Same?” and “Modification of eGFR-Based CKD Definitions: Perfect, or Enemy of the Good?” on pages and , respectively.

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Keywords:

chronic kidney disease; epidemiology and outcomes; glomerular filtration rate

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