Predicting the outcome of chronic kidney disease by the estimated nephron number: The rationale and design of PRONEP, a prospective, multicenter, observational cohort study
- Toshiyuki Imasawa1, 12Email author,
- Takashi Nakazato2,
- Hiroo Ikehira1,
- Hiroyuki Fujikawa1,
- Ryo Nakajima1,
- Takahito Ito3,
- Yutaka Ando4,
- Mitsuhiro Yoshimura5,
- Masaru Nakayama6,
- Kensei Yahata7,
- Osamu Sasaki8,
- Takaaki Yaomura9,
- Ritsuko Katafuchi10,
- Tsuyoshi Yamamura11,
- Takehiko Kawaguchi1,
- Motonobu Nishimura1,
- Hiroshi Kitamura1,
- Takashi Kenmochi1 and
- Akira Shimatsu7
© Imasawa et al; licensee BioMed Central Ltd. 2012
Received: 31 January 2012
Accepted: 10 March 2012
Published: 10 March 2012
The nephron number is thought to be associated with the outcome of chronic kidney disease (CKD). If the nephron number can be estimated in the clinical setting, it could become a strong tool to predict renal outcome. This study was designed to estimate the nephron number in CKD patients and to establish a method to predict the outcome by using the estimated nephron number.
The hypothesis of this study is that the estimated nephron number can predict the outcome of a CKD patient. This will be a multicenter, prospective (minimum 3 and maximum 5 years follow-up) study. The subjects will comprise CKD patients aged over 14 years who have undergone a kidney biopsy. From January 2011 to March 2013, we will recruit 600 CKD patients from 10 hospitals belonging to the National Hospital Organization of Japan. The primary parameter for assessment is the composite of total mortality, renal death, cerebro-cardiovascular events, and a 50% reduction in the eGFR. The secondary parameter is the rate of eGFR decline per year. The nephron number will be estimated by the glomerular density in biopsy specimens and the renal cortex volume. This study includes one sub-cohort study to establish the equation to calculate the renal cortex volume. Enrollment will be performed at the time of the kidney biopsy, and the data will consist of a medical interview, ultrasound for measurement of the kidney size, blood or urine test, and the pathological findings of the kidney biopsy. Patients will continue to have medical consultations and receive examinations and/or treatment as usual. The data from the patients will be collected once a year after the kidney biopsy until March 2016. All data using this study are easily obtained in routine clinical practice.
This study includes the first trials to estimate the renal cortex volume and nephron number in the general clinical setting. Furthermore, this is the first prospective study to examine whether the nephron number predicts the outcome of CKD patients. The results from this study should provide powerful new tools for nephrologists in routine clinical practice.
UMIN-Clinical Trial Registration, UMIN000004784.
KeywordsChronic kidney disease Nephron number Birth weight A prospective Multicenter Observational cohort study Kidney biopsy Glomerular density Cortex volume
Previous studies suggested that chronic kidney disease (CKD) is one of the most important risk factors for cardiovascular disease among known other risk factors, such as diabetes, hypertension, hyperlipidemia, obesity, smoking, and lifestyle [1, 2]. Furthermore, the number of the dialysis patients resulting as a consequence of the progression of CKD has been constantly increasing. Subsequently, the medical costs for treatments for end-stage kidney disease (ESKD) patients have also been increasing in Japan . CKD is also regarded as a major public health problem worldwide .
Low birth weight (LBW) is a risk factor for the progression of kidney diseases in compliance with the Barker hypothesis [5–9]. In particular, it is well-known that glomerular changes of adults who were born with a low birth weight show focal segmental glomerulosclerosis . The nephron number is correlated with the birth weight [11, 12]. Therefore, the reason why the LBW affects the progression of CKD can be explained by intra-glomerular hypertension, which is induced to compensate for the small number of nephrons [13–15]. These previous data suggest that estimation of the nephron number in CKD patients can be a useful tool to predict their outcomes. However, nephrologists currently do not have any tools to determine the individual nephron number of CKD patients under normal clinical situations. Previously, estimating the total glomerular number was accomplished by a combination of magnetic resonance imaging (MRI) and a biopsy to measure the cortical glomerular volume fraction and mean glomerular volume [16, 17]. However, MRI is not realistic to use in routine clinical practice because of its high cost. In addition, in spite of the fact that measuring both the cortical glomerular volume fraction and mean glomerular volume are considered to be appropriate parameters to accurately estimate the total glomerular number in individual patients, these are also unrealistic, because these procedures are very time-consuming.
This PRONEP study was designed to establish a method for predicting the renal outcome based on the nephron number estimated in patients with CKD that can be easily used in routine clinical practice. This is the first prospective study to examine whether the nephron number can predict the outcomes of CKD patients. The nephron number will be estimated by the glomerular density in biopsied samples and the volume of the renal cortex, in which glomeruli exclusively exist. In addition, this study includes one sub-cohort study to develop an equation to calculate the renal cortex volume, because there is currently no method to measure it in the typical clinical setting.
Methods and Design
In a multicenter, prospective (minimum 3 and maximum 5 years follow-up) study, approximately 600 patients with CKD who undergo a kidney biopsy for their diagnosis and will be enrolled from January 2011 to March 2013. These CKD patients will be recruited from 10 hospitals belonging to the National Hospital Organization of Japan. The hospitals participating in this study are spread throughout Japan (Hokkaido, Kanazawa, Chiba, Nagoya, Kyoto, Osaka, Fukuoka, and Nagasaki prefectures). This protocol was submitted to the UMIN-Clinical Trial Registration on January 1, 2011, and its unique trial number is UMIN000004784.
Participants will be eligible for inclusion if they (1) have CKD according to the K/DOQI CKD Guidelines , (2) are undergoing a needle biopsy of the kidney, (3) sign the acceptance letter for participating in this study, (4) are over 14 years old, (5) and their guardian has also signed the letter if they are under 20 years old. Participants will be excluded for any of the following reasons: (1) severe laterality in kidney size or function, for example, unilateral kidney, severe unilateral kidney atrophy, functionally unilateral kidney, and so on, (2) have had cancer, but the patients are eligible if they are free from the cancer for more than 1 year before the kidney biopsy.
In this study, all attending CKD patients will undergo a needle biopsy of the kidney for their diagnosis. Therefore, although this protocol determines the exclusion criteria by the patients' CKD stage, most of the attending patients should not be in stage 4 or 5.
Data collection at the enrollment
In the medical interview, the question about birth weight may be difficult to answer, especially for elderly patients. If the subjects cannot answer the question about their birth weight, the question will be changed to whether their birth weight was normal (equal to or over 2500 g) or not, because LBW is defined as a newborn birth weight of less than 2500 g by the World Health Organization.
Clinical follow-up and data collection
Patients will continue to have medical consultations and will receive examinations and/or treatment as usual. We will not direct physicians to prescribe any preferred drug, examination, or to give any specific medical advice. We will also not ban the physicians from prescribing any particular drugs.
In this study, a cerebro-cardiovascular event was defined as an acute myocardial infarction, angina pectoris, and cerebro-vascular diseases. In addition, in order for a myocardial infarction to be reported in this study, it has to fulfill at least two of the following: (1) chest symptoms, (2) ECG changes, (3) elevated cardiac enzymes. Angina is defined as the presence of ECG abnormalities with chest symptoms and the need for catheter or surgical treatment. Furthermore, a cerebro-vascular event is defined as cases with neuropathy lasting more than 24 hours continuously and with proof of a causative lesion by CT scan or MRI (TIA and asymptomatic small infarction are not included). If no data is tracked during the follow-up, the reason will be recorded (stopped visiting the hospital, transferred to another hospital, moved to a new house, offered to stop the medical consultation, and so on).
Parameters for the assessment
The primary parameter that will be assessed is the composite of the total mortality, renal death (starting maintenance hemodialysis and peritoneal dialysis, kidney transplantation), cerebro-cardiovascular events (ischemic heart disease, cerebral hemorrhage, cerebral infarction), and a 50% reduction in the eGFR. The secondary parameter is the rate of eGFR decline per year.
Rationale for the number of patients
This study aims to predict the outcome of chronic kidney disease using the estimated nephron number. We assumed that the time from entry to event will be independently and exponentially distributed. The planned sample size was based on a two-tailed log-rank test with the significance level set to 0.05, and the power level set at 0.80. The ratio of low birth weight infants per total newborns in Japan was reported to be 0.086 in 1960 and 0.097 in 2007. During this period, the rate has been consistently increasing http://www.mhlw.go.jp/english/database/db-hw/vs01.html. The rate of LBW may be higher in the CKD patients than in normal subjects. We assumed that the rate of LBW would be 0.095 in the CKD patients in this study. This study is planned with an accrual interval of 2 years, and additional follow-up after the accrual interval of 3 years. The event rates were assumed to be 0.1 in the normal birth weight group and 0.2 in the low birth weight group by several studies [8, 20, 21]. The required sample size was therefore calculated to be 50 for the low birth weight group and 476 for the normal birth weight group . Assuming that 10% of subjects would withdraw, we used the simple number of 600 as the target number of patients to recruit for this study.
Measurement of the kidney size by ultrasound imaging
Information from kidney biopsy specimens
Estimation of the total nephron number in a kidney
Based on previous studies, we will first assume that there is 31% volume shrinkage in the paraffin-embedded specimens due to fixation in formalin [17, 23, 24]. Therefore, we will take the quotient of the actual measured values of the length by for the calculation below. Next, the volume of the glomerulus is thought to shrink 43% in the biopsied specimens because of the loss of arterial pressure and because of paraffin embedding after fixation in formalin [16, 17, 23, 24]. Therefore, the actual axis of the glomerulus is calculated by dividing the measurement axis by , and the value is used for the numerical formula below.
The total number of glomeruli is estimated as follows:
The formula of the spherical volume can be derived using integral calculus, i.e. disk integration to sum the volumes , where r is radius of the sphere, and π is the constant pi.
Similarly, the average area of the observed glomeruli on one section in the biopsied specimen is estimated as follows:
Using the Pythagorean theorem,
Where r is the glomerular radius and ro is the cut-off value of the observed glomerular radius (Figure 6).
Where db is the internal diameter of the biopsy needle and La+b is "a + b" in Figure 5 for the total cortex length in biopsied specimens.
Where Ns is the number of observed glomeruli in a biopsied specimen.
Where Vcortex is the volume of the cortex estimated by MRI.
In this study, the value of r will be decided after calculating the means of approximately 5% of the attending patients by random sampling. Therefore, "r" is not a variable in the final calculation.
All data are expressed as the means (SD). The primary parameter for assessment is the composite of the total mortality, renal death, cerebro-cardiovascular events, and a 50% reduction in the eGFR. We will use a Cox proportional hazard model for the analysis. We will check for confounders, interactions and multicollinearity among the independent variables. The final models will be adjusted by all significant variables, as well as confounders and other baseline covariables judged to have clinical importance. The secondary parameter is the rate of eGFR decline per year. A multivariate regression analysis will be used for the analysis. The significance level on both sides in the hypothesis testing will be set at 0.05. The analyses will be performed using the SPSS statistics software program version 19.0. (IBM Corp.)
Sub-cohort study to establish an equation for the renal cortex volume
Some of the participating patients will undergo MRI to measure the cortex volume of their kidney, because MRI is the safest procedure and has highest resolution to separate the cortex from the medulla, as reported in other studies [16, 17]. However, it is unrealistic to perform MRI for all CKD patients because of its high cost. Therefore, we will attempt to establish the equation to calculate an approximate value of the kidney cortex volume measured by MRI.
Measurement of the cortex volume by MRI
While MR imaging sometimes does not provide sufficient contrast for the soft tissues, in many cases, it is possible to distinguish the cortex and the pith of the kidney by tomography. Therefore, we will image the entire kidney with axial MRI, and calculate the renal cortical volume by multiplying the slice thickness and the slice number of the kidney which we measured on each axis tomogram. For this purpose, we found that an MR image that provided the best contrast between the cortex and medulla of the kidney was obtained using the following sequence: 2D Turbo FLASH TR = 1570 ms, TE = 2.74 ms, TI = 1000 ms, Flip Angle = 15°, Fat sat (-). We will manually draw the ROI in the kidney, and the regional choice in the axial image of the kidney will be determined by specialized radiological technologists (with AZE virtual Place FUJIN workstation, AZE Co. Ltd., Tokyo).
Chronic kidney disease is regarded as public health problem throughout the world . In this study, we will mostly focus on the importance of the nephron number as a predictor of the outcome of CKD patients. The nephron numbers vary widely among individuals [25, 26]. One report described that the range is from 227,327 to 1,825,380 per kidney, which is an 8-fold difference . Compensatory adaptation to a reduced nephron number results in an increased single nephron GFR and hyperfiltration. This mechanism was described as the hyperfiltration theory by BM Brenner [14, 27]. In fact, it was shown that nephron number is associated with the progression of CKD . Furthermore, many reports indicate that low birth weight is a risk factor for the progression of CKD [6–9, 13], which further emphasizes the importance of the nephron number, because the nephron number is positively correlated with the birth weight [11, 12]. Therefore, we hypothesized that the individual nephron number would be useful for predicting the outcome of CKD.
As mentioned above, although it is likely that estimating the nephron number will be useful to predict the outcomes of CKD patients, it is currently not possible to determine the nephron number in living subjects. It was reported that the glomerular density is correlated with the prognosis of IgA nephropathy . Although the glomerular density probably correlates with the nephron number, the individual renal cortex volume should largely affect the nephron number. In addition, all of the previous clinical studies concerned with birth weight or nephron number were retrospective. The purpose of this study is to examine whether the estimated nephron number can predict the outcome of CKD patients. It will be the first prospective study of this type ever to be performed.
For this purpose, 3 obstacles will have to be overcome. First, it is not possible to measure the renal cortex volume in the normal clinical setting. To develop a method for estimating this parameter, a one sub-cohort study is being performed. MRI can differentiate the cortex from the medulla because of its high resolution. Other studies also evaluated the total nephron number of dog kidneys or human donor kidneys by the cortex volume measured by MRI [16, 17]. However, we cannot perform MRI for all CKD patients because it is too expensive and not always available. For this purpose, we will first accurately measure the renal cortex volume of some of the participating patients by MRI. Next, we will establish a method to calculate an approximate value of the renal cortex volume measured by MRI. The estimating equation may consist of the kidney size measured by ultrasound, patient sex, eGFR, birth weight, present body weight, and so on. This sub-cohort study will provide us with a method for determining the cortex volume in the general clinical setting. As a second step, we will need to estimate the nephron number while the subjects are still alive. Although measurements of the cortical glomerular volume fraction and mean glomerular volume in individuals are most accurate for calculating the glomerular density, such analyses are unfortunately very time-consuming and therefore a difficult to routinely perform in general clinical situations. Therefore, in this study, the total nephron number will be estimated by performing simpler analyses of biopsied specimens as described above. As the final step, the capacity of the estimated nephron number to predict the outcome of CKD patients will be assessed. The primary parameter for assessment is a composite of the total mortality, renal death, cerebro-cardiovascular events, and 50% reduction in the eGFR. The secondary parameter is the rate of eGFR decline per year. All of these parameters affect the quality of life and survival of CKD patients.
In this study, we aim to establish a method to predict the outcome of CKD patients at the time of their kidney biopsy. Therefore, the data collected during the follow-up period will be restricted (Figure 3). Because body weight may affect the serum creatinine level, we will include this data. There is a possibility that we may also analyze the impact of the urinary protein level and usage of renin-angiotensin-aldosterone system blockers, because both are major effectors of the prognosis of CKD patients [29–31]. Therefore, these data will also be collected. On the other hand, we also require a lot of data at enrollment (Figure 2), all of which will be variables of the equation used to calculate the renal cortex volume or predict the CKD outcomes. We plan to develop an equation that can be used for all CKD patients. However, nephrologists will likely need different equations for each disease, for example, diabetic nephropathy, benign nephrosclerosis, and IgA nephropathy. Therefore, we will further analyze the data by individual diseases.
This study includes the first trials to estimate the renal cortex volume and nephron number in the general clinical setting. In addition, this study is the first prospective study to examine whether the nephron number can predict the outcome of CKD patients. The results from this study should provide powerful new tools for nephrologists in routine clinical practice.
This study is being conducted in accordance with the "Ethical Guidelines for Clinical Studies" (Revised on December 28, 2004, the Ministry of Health, Labour and Welfare in Japan) and the "Ethical Guidelines for Epidemiological Studies" (Revised on August 16, 2007, the Ministries of Education, Culture, Sports, Science and Technology/Health, Labour and Welfare in Japan). All medical professionals involved in this study must comply with these ethical standards. All subjects will provide informed consent to participate in the study at the time of the kidney biopsy.
This trial was approved by the Committee on Ethics in Human Research of National Hospital Organization Chiba-East National Hospital in December 2010 (No. 19).
This research was supported by a grant from the National Hospital Organization of Japan to T. Imasawa (Project No. 61). We thank Ms. Keiko Tanaka and Ms. Mori Tachibana for their valuable secretarial support. We would also like to express our thanks to the doctors who participated in this study.
- Mann JF, Gerstein HC, Pogue J, Bosch J, Yusuf S: Renal insufficiency as a predictor of cardiovascular outcomes and the impact of ramipril: the HOPE randomized trial. Ann Intern Med. 2001, 134 (8): 629-636.View ArticlePubMedGoogle Scholar
- Go AS, Chertow GM, Fan D, McCulloch CE, Hsu CY: Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization. N Engl J Med. 2004, 351 (13): 1296-1305. 10.1056/NEJMoa041031.View ArticlePubMedGoogle Scholar
- Nakai S, Suzuki K, Masakane I, Wada A, Itami N, Ogata S, Kimata N, Shigematsu T, Shinoda T, Syouji T, Taniguchi M, Tsuchida K, Nakamoto H, Nishi S, Nishi H, Hashimoto S, Hasegawa T, Hanafusa N, Hamano T, Fujii N, Marubayashi S, Morita O, Yamagata K, Wakai K, Watanabe Y, Iseki K, Tsubakihara Y: Overview of regular dialysis treatment in Japan (as of 31 December 2008). Ther Apher Dial. 2010, 14 (6): 505-540. 10.1111/j.1744-9987.2010.00893.x.View ArticlePubMedGoogle Scholar
- Levey AS, Eckardt KU, Tsukamoto Y, Levin A, Coresh J, Rossert J, De Zeeuw D, Hostetter TH, Lameire N, Eknoyan G: Definition and classification of chronic kidney disease: a position statement from Kidney Disease: Improving Global Outcomes (KDIGO). Kidney Int. 2005, 67 (6): 2089-2100. 10.1111/j.1523-1755.2005.00365.x.View ArticlePubMedGoogle Scholar
- Barker DJ, Osmond C, Golding J, Kuh D, Wadsworth ME: Growth in utero, blood pressure in childhood and adult life, and mortality from cardiovascular disease. BMJ. 1989, 298 (6673): 564-567. 10.1136/bmj.298.6673.564.View ArticlePubMedPubMed CentralGoogle Scholar
- Hoy WE, Rees M, Kile E, Mathews JD, Wang Z: A new dimension to the Barker hypothesis: low birthweight and susceptibility to renal disease. Kidney Int. 1999, 56 (3): 1072-1077. 10.1046/j.1523-1755.1999.00633.x.View ArticlePubMedGoogle Scholar
- Lackland DT, Bendall HE, Osmond C, Egan BM, Barker DJ: Low birth weights contribute to high rates of early-onset chronic renal failure in the Southeastern United States. Arch Intern Med. 2000, 160 (10): 1472-1476. 10.1001/archinte.160.10.1472.View ArticlePubMedGoogle Scholar
- Vikse BE, Irgens LM, Leivestad T, Hallan S, Iversen BM: Low birth weight increases risk for end-stage renal disease. J Am Soc Nephrol. 2008, 19 (1): 151-157. 10.1681/ASN.2007020252.View ArticlePubMedPubMed CentralGoogle Scholar
- White SL, Perkovic V, Cass A, Chang CL, Poulter NR, Spector T, Haysom L, Craig JC, Salmi IA, Chadban SJ, Huxley RR: Is low birth weight an antecedent of CKD in later life? A systematic review of observational studies. Am J Kidney Dis. 2009, 54 (2): 248-261. 10.1053/j.ajkd.2008.12.042.View ArticlePubMedGoogle Scholar
- Hodgin JB, Rasoulpour M, Markowitz GS, D'Agati VD: Very low birth weight is a risk factor for secondary focal segmental glomerulosclerosis. Clin J Am Soc Nephrol. 2009, 4 (1): 71-76. 10.2215/CJN.01700408.View ArticlePubMedPubMed CentralGoogle Scholar
- Mañalich R, Reyes L, Herrera M, Melendi C, Fundora I: Relationship between weight at birth and the number and size of renal glomeruli in humans: a histomorphometric study. Kidney Int. 2000, 58 (2): 770-773. 10.1046/j.1523-1755.2000.00225.x.View ArticlePubMedGoogle Scholar
- Hughson M, Farris AB: Douglas-Denton R, Hoy WE, Bertram JF: Glomerular number and size in autopsy kidneys: the relationship to birth weight. Kidney Int. 2003, 63 (6): 2113-2122. 10.1046/j.1523-1755.2003.00018.x.View ArticlePubMedGoogle Scholar
- Luyckx VA, Brenner BM: Low birth weight, nephron number, and kidney disease. Kidney Int (Suppl). 2005, 97: S68-S77.View ArticleGoogle Scholar
- Brenner BM, Lawler EV, Mackenzie HS: The hyperfiltration theory: a paradigm shift in nephrology. Kidney Int. 1996, 49 (6): 1774-1777. 10.1038/ki.1996.265.View ArticlePubMedGoogle Scholar
- Hoy WE, Hughson MD, Bertram JF, Douglas-Denton R, Amann K: Nephron number, hypertension, renal disease, and renal failure. J Am Soc Nephrol. 2005, 16 (9): 2557-2564. 10.1681/ASN.2005020172.View ArticlePubMedGoogle Scholar
- Basgen JM, Steffes MW, Stillman AE, Mauer SM: Estimating glomerular number in situ using magnetic resonance imaging and biopsy. Kidney Int. 1994, 45 (6): 1668-1672. 10.1038/ki.1994.218.View ArticlePubMedGoogle Scholar
- Fulladosa X, Moreso F, Narváez JA, Grinyó JM, Serón D: Estimation of total glomerular number in stable renal transplants. J Am Soc Nephrol. 2003, 14 (10): 2662-2668. 10.1097/01.ASN.0000088025.33462.B0.View ArticlePubMedGoogle Scholar
- National Kidney Foundation: K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Am J Kidney Dis. 2002, 2 (Suppl 1): S1-266.Google Scholar
- Matsuo S, Imai E, Horio M, Yasuda Y, Tomita K, Nitta K, Yamagata K, Tomino Y, Yokoyama H: Hishida A; Collaborators developing the Japanese equation for estimated GFR: Revised equations for estimated GFR from serum creatinine in Japan. Am J Kidney Dis. 2009, 53 (6): 982-992. 10.1053/j.ajkd.2008.12.034.View ArticlePubMedGoogle Scholar
- Nakayama M, Sato T, Sato H, Yamaguchi Y, Obara K, Kurihara I, Sato K, Hotta O, Seino J, Miyata M, Takeuchi K, Nakayama K, Matsushima M, Otaka T, Kinoshita Y, Taguma Y, Ito S: Different clinical outcomes for cardiovascular events and mortality in chronic kidney disease according to underlying renal disease: the Gonryo study. Clin Exp Nephrol. 2010, 14 (4): 333-339. 10.1007/s10157-010-0295-y.View ArticlePubMedGoogle Scholar
- Nakayama M, Sato T, Miyazaki M, Matsushima M, Sato H, Taguma Y, Ito S: Increased risk of cardiovascular events and mortality among non-diabetic chronic kidney disease patients with hypertensive nephropathy: the Gonryo study. Hypertens Res. 2011, 34 (10): 1106-1110. 10.1038/hr.2011.96.View ArticlePubMedGoogle Scholar
- Shein-chung Chow, Hansheng Wang, Jun Shao: Sample Size Calculations in Clinical Research. 2007, New York: Chapman & Hall/CRC, 2Google Scholar
- Miller PL, Meyer TW: Effects of tissue preparation on glomerular volume and capillary structure in the rat. Lab Invest. 1990, 63 (6): 862-866.PubMedGoogle Scholar
- Nyengaard JR: Stereologic methods and their application in kidney research. J Am Soc Nephrol. 1999, 10 (5): 1100-1123.PubMedGoogle Scholar
- Hoy WE, Hughson MD, Singh GR, Douglas-Denton R, Bertram JF: Reduced nephron number and glomerulomegaly in Australian Aborigines: a group at high risk for renal disease and hypertension. Kidney Int. 2006, 70 (1): 104-110. 10.1038/sj.ki.5000397.View ArticlePubMedGoogle Scholar
- Keller G, Zimmer G, Mall G, Ritz E, Amann K: Nephron number in patients with primary hypertension. N Engl J Med. 2003, 348 (2): 101-118. 10.1056/NEJMoa020549.View ArticlePubMedGoogle Scholar
- Brenner BM, Meyer TW, Hostetter TH: Dietary protein intake and the progressive nature of kidney disease: the role of hemodynamically mediated glomerular injury in the pathogenesis of progressive glomerular sclerosis in aging, renal ablation, and intrinsic renal disease. N Engl J Med. 1982, 307 (11): 652-659. 10.1056/NEJM198209093071104.View ArticlePubMedGoogle Scholar
- Tsuboi N, Kawamura T, Koike K, Okonogi H, Hirano K, Hamaguchi A, Miyazaki Y, Ogura M, Joh K, Utsunomiya Y, Hosoya T: Glomerular density in renal biopsy specimens predicts the long-term prognosis of IgA nephropathy. Clin J Am Soc Nephrol. 2010, 5 (1): 39-44. 10.2215/CJN.04680709.View ArticlePubMedPubMed CentralGoogle Scholar
- Asselbergs FW, Diercks GF, Hillege HL, van Boven AJ, Janssen WM, Voors AA, de Zeeuw D, de Jong PE, van Veldhuisen DJ, van Gilst WH: Prevention of Renal and Vascular Endstage Disease Intervention Trial (PREVEND IT) Investigators: Effects of fosinopril and pravastatin on cardiovascular events in subjects with microalbuminuria. Circulation. 2004, 110 (18): 2809-2816. 10.1161/01.CIR.0000146378.65439.7A.View ArticlePubMedGoogle Scholar
- de Zeeuw D, Remuzzi G, Parving HH, Keane WF, Zhang Z, Shahinfar S, Snapinn S, Cooper ME, Mitch WE, Brenner BM: Albuminuria, a therapeutic target for cardiovascular protection in type 2 diabetic patients with nephropathy. Circulation. 2004, 110 (8): 921-927. 10.1161/01.CIR.0000139860.33974.28.View ArticlePubMedGoogle Scholar
- Olsen MH, Wachtell K, Ibsen H, Lindholm LH, Dahlöf B, Devereux RB, Kjeldsen SE, Oikarinen L: Okin PM; LIFE Study Investigators: Reductions in albuminuria and in electrocardiographic left ventricular hypertrophy independently improve prognosis in hypertension: the LIFE study. J Hypertens. 2006, 24 (4): 775-781. 10.1097/01.hjh.0000217862.50735.dc.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2369/13/11/prepub
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