|Year : 2014 | Volume
| Issue : 1 | Page : 15-22
Biochemical evaluation of renal osteodystrophy in uraemic patients
Maha H Mohamed1, Magda S Mahmoud1, Mohamed D.E. Abd El-Maksoud1, Tamer E Mosa1, Adel A Ali2
1 Department of Biochemistry, National Research Centre, Cairo, Egypt
2 Department of Internal Medicine, Faculty of Medicine, Alazhr University, Cairo, Egypt
|Date of Submission||05-Nov-2013|
|Date of Acceptance||30-Dec-2013|
|Date of Web Publication||22-Jul-2014|
Mohamed D.E. Abd El-Maksoud
PhD, Biochemistry Department, National Research Centre, Cairo
Source of Support: None, Conflict of Interest: None
Renal osteodystrophy is a multifactorial disorder of bone remodelling that develops in patients with chronic renal failure (CRF). Biochemical markers of bone turnover have been proposed for the noninvasive diagnosis of renal osteodystrophy. The purpose of this study was to evaluate intact parathyroid hormone (iPTH) and some markers of bone disease in predialysis (preD) and haemodialysis (HD) CRF patients and correlate them with bone mineral density (BMD).
Patients and methods
Several biochemical markers were measured in the serum of 74 CRF patients (38 preD patients and 36 patients on regular HD). In addition, 30 healthy volunteers were included as controls. BMD of all patients was measured by means of calcaneal ultrasonography.
BMD was measured by means of ultrasound. BMD was significantly decreased in both patient groups when compared with controls. Also, it was significantly lower in patients with osteoporosis than in those with osteopenia. iPTH, total alkaline phosphatase (ALP) and osteocalcin (OC) levels were significantly elevated in both patient groups when compared with controls. Ionized calcium (Ca 2+ ), free carnitine and insulin-like growth factor-1 (IGF-1) levels were significantly decreased in patients compared with controls. There was a significant inverse correlation of BMD with iPTH, ALP and OC and a significant positive correlation with Ca 2+ and IGF-1 in HD patients. PreD patients showed significant inverse correlation of BMD with iPTH and ALP and significant positive correlation with Ca 2+ .
The results of the present study suggested that ultrasound is a useful method for evaluating BMD and provides information about diverse regional skeletal changes in CRF patients. iPTH, ALP, OC and Ca 2+ can predict renal osteodystrophy in preD and HD CRF patients. PreD and HD CRF patients often have low serum concentrations of free carnitine and IGF-1.
Keywords: biochemical markers, calcaneal ultrasound, free carnitine, insulin-like growth factor-1, renal osteodystrophy
|How to cite this article:|
Mohamed MH, Mahmoud MS, Abd El-Maksoud MD, Mosa TE, Ali AA. Biochemical evaluation of renal osteodystrophy in uraemic patients. J Arab Soc Med Res 2014;9:15-22
|How to cite this URL:|
Mohamed MH, Mahmoud MS, Abd El-Maksoud MD, Mosa TE, Ali AA. Biochemical evaluation of renal osteodystrophy in uraemic patients. J Arab Soc Med Res [serial online] 2014 [cited 2020 Sep 21];9:15-22. Available from: http://www.new.asmr.eg.net/text.asp?2014/9/1/15/137320
| Introduction|| |
Renal osteodystrophy (ROD) is a well-known bone pathology appearing in patients with chronic renal failure (CRF), especially in predialysis (preD) and dialysis patients, and manifests in three different forms: high-turnover ROD, related to secondary hyperparathyroidism; low-turnover ROD and mixed ROD . Bone histology is the gold standard for the diagnosis of ROD especially for the distinction between high-turnover and low-turnover bone disease but is an expensive and invasive procedure accompanied by technical difficulties . For this reason, specific and sensitive serum biochemical markers are required for monitoring bone turnover in uraemic patients. The ideal biochemical marker of bone turnover should be unique to bone and should reflect total skeletal activity . The serum bone markers are enzymes of the bone cells, components of the bone matrix or regulating hormones .
The parathyroid hormone (PTH) is a major regulator of bone turnover and skeletal cellular activity and its measurement in serum or plasma has been widely used. PTH in the serum occurs as an intact hormone and as many different PTH fragments . Alkaline phosphatase (ALP) is a glycosylated protein produced by different organs such as the liver, bone, kidney, intestine and placenta . One single gene codes a group of ALPs that are produced by the liver, bone and kidney and their respective isoenzymes differ only by post-transcriptional glycosylation .
Urena et al.  showed that the blood osteocalcin (OC) concentration is used as one of the sensitive markers of bone formation and reflects the underlying bone histology in ROD. They also reported that the plasma levels of OC demonstrated good sensitivity, allowing the distinction between patients with hyperparathyroidism and those with normal or low bone turnover. However, it has low diagnostic sensitivity in discriminating between patients with adynamic bone disease and those with normal bone turnover. Bervoets et al.  demonstrated that OC, ALP, bone alkaline phosphatase (bALP) and serum calcium levels are useful in the diagnosis of adynamic bone disease, normal bone and osteomalacia in preD patients with end-stage renal failure.
Carnitine plays a critical role in energy production. It transports long-chain fatty acids into the mitochondria so that they can be oxidized (burned) to produce energy. It also transports the toxic compounds generated out of this cellular organelle to prevent their accumulation. Given these key functions, carnitine is concentrated in tissues like skeletal and cardiac muscle, which utilize fatty acids as a dietary fuel .
In the blood, ˜97% of the insulin-like growth factor (IGF) is bound to six IGF-binding proteins (IGFBP-1 to IGFBP-6), with the remaining IGF-1 either in a bioactive-free fraction (˜1%) or in an easily dissociable form . Most IGF-1 in the circulation is bound in a 150-kDa complex of IGF-1, IGFBP-3 and a third protein, the acid-labile subunit. This ternary IGF complex is a storage form of IGF in blood and has a half-life of several hours. The binding of IGF-1 to IGFBP limits the bioactivity of IGF-1, as bound IGF-1 probably cannot activate the IGF-1 receptor .
In this study we investigated the value of biochemical markers of bone turnover in the diagnosis of ROD in preD and haemodialysis (HD) CRF patients.
| Patients and methods|| |
This study was approved by the Medical Ethical Committee of Al-Azhar University, Faculty of Medicine, and informed written consent was obtained from each participant before being enrolled in the study. Seventy-four CRF patients, 38 preD (before the first dialysis) patients and 36 patients on regular HD admitted to Al-Hussien University Hospital (46 men and 28 women; mean age 48.2 years, range 25-53 years) were included in this study. In addition, 30 healthy volunteers of matched age and sex were included and considered as controls. All individuals were subjected to a full medical history and a thorough clinical examination. CRF patients on corticosteroid treatment and those with diabetes mellitus, hepatic affection or hyperthyroidism were excluded. HD patients were divided into two groups (the osteopenia group and the osteoporosis group) according to bone mineral density (BMD). Osteopenia is a condition in which BMD is lower than normal. It is considered by many doctors to be a precursor to osteoporosis. Osteoporosis, however, is a progressive bone disease that is characterized by a decrease in bone mass and density that can lead to an increased risk for fracture. BMD was measured using ultrasound; osteopenia is defined by the WHO as a value of BMD (expressed as T-score) between -1 and -2.5. Osteoporosis was defined as a BMD value below -2.5 (i.e. T-score: normal, >-1; osteopenia, -1 to -2.5; osteoporosis, <-2.5) .
Fasting 5 ml venous blood was obtained from all included individuals. One portion of the blood was collected in EDTA tubes and plasma was separated for determination of glucose. The other portion of the blood was collected in EDTA-free tubes, allowed to clot and centrifuged at 5000 rpm for 10 min. Serum was stored at -70°C until analysis.
Peripheral haemogram, liver function test and kidney function test were carried out in all patients. Plasma glucose level was estimated by the GOD-PAP enzymatic colorimetric method using a Biomerieux test kit . Serum K + and Na + concentrations were measured with a flame photometer (model PFP7, Jenway). Levels of intact parathyroid hormone (iPTH) were determined using Immulite (chemiluminescent enzyme-labelled immunometric) assay kit (Diagnostic Products Corporation, Los Angeles, USA). The enzyme activity of ALP was estimated colorimetrically using phenyl phosphate as a substrate . Human OC levels were determined using an immunoenzymatic assay kit (Biosource Europe SA, Nivelles, Belgium) for the quantitative determination of intact human OC in serum. Serum ionized calcium (Ca 2+ ) concentration was determined with an atomic absorption spectrophotometer (AA-630-02; Shimadu, Japan) using an air-acetylene flame and hollow cathode lamp under the following parameters: lamp current, 10 mA; wavelength, 422.7 nm; and calcium standard, 5 ppm. Levels of IGF-1 in serum were determined using the ELISA kit (Biosource Europe SA). As IGFBP-3 interferes in the determination of IGF-1, it was essential to include an extraction step using ethanol acid solution (87% ethanol+12.5% HCl 2 N) in which IGF-1 was separated from its binding proteins . Serum-free carnitine (FC) levels were determined according to the method of Wan and Hubbard  using a random-access chemistry analyser.
SPSS program (version 9.0; SPSS Inc., Chicago, Illinois, USA) was used for analysis of data. Statistical evaluation was carried out with Pearson's (r) correlation coefficient, one-way analysis of variance and the Kruskal-Wallis test. Comparison between the two groups was made using the Mann-Whitney U-test. Data are expressed as mean ± SE. Significance was defined at P value less than 0.05.
| Results|| |
The demographic and laboratory parameters for renal function in preD and HD patients are shown in [Table 1]. There was a statistically significant reduction in serum urea, creatinine, K + (P > 0.001) and Na + (P > 0.05) concentrations in HD patients compared with preD patients, whereas haemoglobin concentration showed a statistically significant increase in the HD group compared with the preD group (P > 0.001).
|Table 1 Demographic and laboratory parameters for renal function in predialysis and in haemodialysis patients|
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CRF patients showed a statistically significant elevation (P > 0.05) in ALP, iPTH and OC levels, whereas serum levels of Ca 2+ , IGF-1 and FC were significantly decreased (P > 0.05) when compared with the control group [Table 2].
|Table 2 Biochemical parameters in chronic renal failure patients compared with controls|
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HD and preD patients showed statistically significantly lower BMD compared with control participants, and the HD group showed statistically significantly lower BMD compared with the preD group. HD patients demonstrated a further statistically significant increase in ALP, iPTH and OC levels when compared with either preD patients or control participants and these levels were higher in preD patients when compared with controls. Also, there was a statistically significant decrease in Ca 2+ , FC and IGF-1 levels in the HD group when compared with the preD group and controls and in the preD group when compared with controls [Table 3].
|Table 3 Markers of renal osteodystrophy, insulin-like growth factor-1 and free carnitine in the studied groups|
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The HD group (n = 36) showed significant changes in parameters when it was divided into the osteopenia subgroup (n = 22) and the osteoporosis subgroup (n = 14) according to the results of BMD. The osteoporosis subgroup had statistically significantly lower BMD compared with the osteopenic subgroup (P > 0.001). There was a statistically significant increment in ALP, iPTH and OC in osteoporosis patients compared with osteopenic patients (P > 0.01). Also, there was a statistically significant decrease in Ca 2+ (P > 0.01) and IGF-1 (P > 0.05) in the osteoporosis subgroup compared with the osteopenic subgroup. Data showed that there were no significant differences in serum levels of FC between these two subgroups [Table 4].
|Table 4 Impact of haemodialysis on markers of renal osteodystrophy, insulin-like growth factor-1 and free carnitine in osteopenia and osteoporosis|
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The correlations among studied parameters in preD patients and HD patients are shown in [Table 5] and [Table 6].
[Figure 1], [Figure 2], [Figure 3] show the role of FC in the pathogenesis of ROD by its negative correlation with both ALP and iPTH and its positive correlation with IGF-1 among all studied CRF patients.
|Figure 1: Correlation between free carnitine and alkaline phosphatase (ALP)|
among chronic renal failure pati ents.
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|Figure 2: Correlation between free carnitine and intact parathyroid hormone|
(iPTH) among chronic renal failure pati ents
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|Figure 3: Correlation between free carnitine and insulin-like growth factor-1 (IGF-1) among chronic renal failure patients.|
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| Discussion|| |
Over the past one or two decades, the principal biochemical marker for diagnosis and classification and for monitoring therapy of bone turnover has been measured by a two-site immunometric technique called 'intact' PTH . Although measurement of PTH is the mainstay of the assessment of bone turnover and thus the precise type of ROD, other biochemical markers may also be useful. Measurements of total ALP should be considered in conjunction with determinations of PTH . Measurements of total ALP are complicated by the measurement of nonskeletal enzyme, and accordingly, in some cases, measurements of bone-specific ALP may be required. However, there are insufficient data available to recommend routine measurement of bone-specific ALP concentrations .
The present study showed significant elevation of serum ALP, iPTH and OC levels in CRF patients when compared with the control group and further significant increment of ALP, iPTH and OC levels in HD patients compared with either the control group or the preD patient group. However, a significant decrease in Ca 2+ level in the same patient groups was reported. These results are in agreement with those of Bayazύt et al.  who found that serum OC, ALP and iPTH levels were significantly higher in dialysis CRF patients than in the control group. Also, higher than normal bone parameters (OC, ALP, PTH) were registered by Yonova and Dukova  in HD patients. These findings suggest that bone metabolism is increased in most HD patients; that is, high bone turnover ROD prevails in HD patients.
Our results are in agreement with the results of several other investigators. Urena et al.  and Arici et al.  concluded that serum iPTH and total ALP concentrations were higher in uraemic patients on HD. Rix et al.  also concluded that iPTH is significantly elevated in preD CRF patients. Regidor et al.  revealed significant increment of total ALP in HD patients. Kara et al.  found that in HD patients compared with controls the serum Ca 2+ levels are lower and serum PTH and ALP levels are higher. Recently, Nafie et al.  reported that there were higher levels of iPTH in HD patients than in preD patients and in preD and HD patients than in controls. There was no statistically significant difference in the level of calcium between HD and preD patients, whereas there were lower levels of calcium in HD patients compared with controls. Also there was no difference in the level of calcium between preD patients and controls.
In this study, serum iPTH had significant positive correlation with ALP and OC in preD and HD CRF patients. Bayazύt et al .  found significant positive correlation between serum OC and PTH and ALP. Regidor et al.  found that serum ALP had the strongest correlations with aspartate transaminase (AST) and iPTH. Baskin et al.  demonstrated that serum OC correlated with bone ALP and iPTH. These authors concluded that bone ALP and OC combined with iPTH level seemed to be useful noninvasive markers of bone metabolism in dialysis patients.
The study by Bakkaloglu et al.  emphasized the importance of the use of multiple biomarkers in the noninvasive diagnosis of ROD. Indeed, low serum calcium levels and high serum PTH values were the strongest predictors of mineralization defect in patients with bone turnover within the normal range, a finding that should be taken into consideration in view of the availability of therapeutic agents that maintain serum calcium levels within the lower normal range [26,27].
Osteoporosis is a complex multifactorial disease that remains asymptomatic until a fracture occurs, and strategies need to be developed to accurately identify 'high-risk' patients who may benefit from preventive treatments before fractures occur. In osteoporosis, once a fracture occurs, the risk of a subsequent fracture is high. Therefore, the diagnosis of osteoporosis should be made before the first fracture occurs, so that the patient can undertake lifestyle changes and undergo treatment to prevent fractures. The only way to do this is by measuring BMD .
Dual-energy X-ray absorptiometry is the standard noninvasive method with which to assess BMD, but it is not always available. Quantitative heel ultrasound is a mobile, relatively inexpensive, easy-to-perform and radiation-free method, which can predict fractures to the same extent as dual-energy X-ray absorptiometry . According to the 2002 clinical practice guidelines for the diagnosis and management of osteoporosis in Canada, it was accepted that 'quantitative heel ultrasound may be considered for diagnosis of osteoporosis' .
The results of the present study revealed that the BMD score as measured by calcaneal ultrasonography was significantly lower in HD and preD patients than in control participants and in preD compared with HD patients; further, the HD group was divided into the osteopenia subgroup and the osteoporosis subgroup according to the results of BMD where the osteoporosis subgroup had a significantly lower BMD than the osteopenia subgroup.
These results agreed with those of Kara et al. . Depending on the quantitative heel ultrasonography parameters, mean BMD values of HD patients were significantly lower than those of controls and both osteoporosis and osteopenia were diagnosed in most of their HD patients. Also, Arici et al.  reported that quantitative heel ultrasonography measurements were markedly reduced in dialysis patients compared with controls. Ha et al.  confirmed that there was significant bone loss in patients with CRF before the start of dialysis. Arici et al.  and Kara et al.  stated that dialysis affects the bone status and HD patients have worse bone mineral metabolism compared with age-matched and sex-matched healthy controls.
Aggarwal et al.  in their study demonstrated that BMD decreased significantly as the chronic kidney disease (CKD) progressed from stage III to stage V. These findings indicate that alteration in BMD, although beginning early in cases of CKD, is related to the severity of kidney function, and the majority of patients with advanced CKD have reduced bone density and subsequent increased risk for fractures. CKD encompasses several metabolic and hormonal abnormalities, including decreased renal synthesis of 1, 25 (OH)D, hyperphosphatemia, hypocalcemia, increased secretion of PTH, chronic metabolic acidosis, premature hypogonadism and, more recently, recognized 25 (OH) vitamin D deficiency; all may adversely affect the bone remodelling process in one or more of the following ways - increasing bone resorption, decreasing bone formation or impairing mineralization of osteoid. These changes in bone remodelling have the potential to accelerate the deterioration of the bone microstructure that accompanies normal ageing and therefore may prematurely decrease bone quality and strength and increase susceptibility to fragility fracture. They also observed that as severity of CKD increased the total number of patients with reduced bone density (osteopenia and osteoporosis) increased and the prevalence of osteoporosis increased. These findings have important therapeutic implications in terms of defining the population at increased risk for fracture and preventive strategies can be instituted.
Our results showed that the osteoporosis subgroup had significantly increased levels of ALP, iPTH and OC and significant decreases in Ca 2+ compared with the osteopenia subgroup. Our results also showed that BMD was negatively correlated with ALP, iPTH and OC and positively correlated with Ca 2+ in preD and HD patients. These results were in agreement with those of Urena et al.  who found that iPTH and bALP were negatively correlated with BMD in HD patients. Ha et al.  found inverse linear correlation between total BMD and ALP and iPTH.
Also some previous studies have shown an inverse relationship between BMD and PTH and some other markers. The BMD was negatively correlated with iPTH, which was statistically significant. Elevated PTH levels are catabolic for cortical bone and this accounts for the increased fracture susceptibility noted in patients with CKD [31-33].
In this study, we measure FC and IGF-1 because their deficiency affects bone mass. Our results revealed that in CRF patients FC levels were significantly decreased when compared with the control group and there was a significant decrease in FC in the HD group compared with the preD group and controls. These results are in agreement with those of Wanic-Kossowska et al.  and Calvani et al. . They found that in HD patients serum level of carnitine was significantly lower as compared with the control group of healthy participants and the nondialysed CRF patients.
During the course of human ageing, carnitine concentration in cells diminishes, affecting fatty acid metabolism in various tissues. In particular, bones are adversely affected and continuous reconstructive and metabolic functions of osteoblasts are required for maintenance of bone mass. There is a close correlation between changes in plasma levels of OC and osteoblast activity, and a reduction in OC plasma levels is an indicator of reduced osteoblast activity, which appears to underlie osteoporosis in elderly patients and in postmenopausal women. In a study using experimental animals, administration of l-carnitine was capable of increasing serum OC concentrations, whereas serum OC levels tend to decrease with age in control animals . Moreover, Savica et al.  have shown that l-carnitine supplementation in HD patients improves BMI and serum albumin.
IGF-1 is one of the most abundant growth factors present in bone that stimulate osteoblast activity, subsequently leading to bone matrix formation and inhibition of bone collagen degradation. IGF-1 is a stimulant factor for renal calcitriol synthesis, enhanced intestinal calcium absorption, bone mineralization and matrix protein synthesis. Several studies have analysed the relationship between IGF-1 levels and bone mass and reported that in different patient groups there is a significant correlation between BMD and IGF-1 levels. There are also studies reporting that even patients with idiopathic osteoporosis have low levels of serum IGF-1 .
Results of the present study showed that serum levels of free IGF-1 were significantly decreased in CRF patients when compared with the control group and there was significant positive correlation between BMD and IGF-1 levels in CRF patients on HD. These results are in agreement with the results of Frystyk et al.  who observed a reduction of more than 50% in serum levels of free IGF-1 in patients with CRF. Tönshoff et al.  concluded that growth failure in CRF is mainly due to functional IGF deficiency. Combined therapy with rhGH and rhIGF-1 is therefore a logical approach.
In conclusion, quantitative heel ultrasound is a useful method for evaluating BMD and for detecting regional skeletal changes in CRF patients. Moreover, it can be used to follow bone changes in ROD. The data of the current study suggest that a combination of serum iPTH, ALP and OC levels can predict BMD in CRF patients and may be useful in discriminating patients with normal turnover and defective mineralization from those with normal mineralization. In contrast, a combination of serum iPTH and calcium levels may be used to further identify individuals with poor skeletal mineralization and high fracture risk. Our results also suggested that carnitine treatment is safe and has been shown to be effective in improving certain parameters of interest to dialysis providers, such as erythropoietin resistance, insulin sensitivity, quality of life and hospitalization rate. Also, combined therapy with rhGH and rhIGF-1 is recommended.
| Acknowledgements|| |
| References|| |
|1.||Coen G, Ballanti P, Bonucci E, Calabria S, Centorrino M, Fassino M, et al. Bone markers in low turnover osteodystrophy in hemodialysis patients. Nephrol Dial Transplant 1998; 13:2294-2304. |
|2.||Schmidt G, Drueke T, Ritz E. Non-invasive circulating indicators of bone metabolism in uremic patients: can they replace bone biopsy? Nephrol Dial Transplant 1996; 11:415-418. |
|3.||Ionova D, Dukova P, Zlatarska S. Noninvasive circulating bone markers (CBM) of ROD. Abstract book of XXV ISN Congress; 1999. |
|4.||Martin KJ, Olgaard K, Coburn JW, Coen GM, Fukagawa M, Langman M, et al. Diagnosis, assessment, and treatment of bone turnover abnormalities in renal osteodystrophy. Am J Kidney Dis 2004; 43:558-565. |
|5.||Ferreira MA. Diagnosis of renal osteodystrophy: when and how to use biochemical markers and non-invasive methods; when bone biopsy is needed. Nephrol Dial Transplant 2000; 15:8-14. |
|6.||Watts NB. Clinical utility of biochemical markers of bone remodeling. Clin Chem 1999; 45:1359-1368. |
|7.||Urena P, De Vernejoul M. Circulating biochemical markers of bone remodeling in uremic patients. Kidney Int 1999; 55:2141-2156. |
|8.||Bervoets AR, Spasovski GB, Behets GJ, Dams G, Polenakovic MH, Zafirovska K, et al. Useful biochemical markers for diagnosing renal osteodystrophy in predialysis end-stage renal failure patients. Am J Kidney Dis 2003; 41; 997-1007. |
|9.||The editors. Carnitine: lessons from one hundred years of research. Ann NY Acad Sci 2004; 1033:ix-xi. |
|10.||Juul A, Flyvbjerg A, Frystyk J, Muller J, Skakkebaek NE. Serum concentrations of free and total insulin-like growth factor-I, IGF binding proteins-1 and -3 and IGFBP-3 protease activity in boys with normal or precocious puberty. Clin Endocrinol 1996; 44:515-523. |
|11.||Jones JI, Clemmons DR. Insulin-like growth factors and their binding proteins: biological actions. Endocr Rev 1995; 16:3-34. |
|12.||Kanis JA, Melton LJ, Christiansen C, Johanston CC. The diagnosis of osteoporosis. J Bone Miner Res 1994; 9:1137-1141. |
|13.||Lott JA. Glucose GOD/PAP. Clin Chem 1975; 21:1754-1760. |
|14.||Belfield A, Goldberg DM. Normal ranges and diagnostic value of serum 5¢ nucleotidase and alkaline phosphatase activities in infancy. Arch Dis Child 1971; 46:842-846. |
|15.||Wan L, Hubbard RW. Determination of free and total carnitine with a random-access chemistry analyzer. Clin Chem 1998; 44:810-816. |
|16.||Bayazýt AK, Cengiz N, Anarat R, Noyan A, Anarat A. Peritoneal clearance of biochemical markers of bone turnover in children with end stage renal failure on peritoneal dialysis. Turk J Pediatr 2006; 48:140-142. |
|17.||Yonova D, Dukova P. Changes of serum bone markers in CAPD and hemodialysis patients. Hýppokratýa 2007; 11:199-201. |
|18.||Urena P, Bernard-Poenaru O, Ostertag A, Baudoin C, Cohen-Solal M, Cantor T, Devernejoul MC. Bone mineral density, biochemical markers and skeletal fractures in haemodialysis patients. Nephrol Dial Transplant 2003; 18:2325-2331. |
|19.||Arici M, Erturk H, Altun B, Usalan C, Ulusoy S, Erdemy Y, et al. Bone mineral density in haemodialysispatients: a comparative study of dual-energy X-ray absorptiometry and quantitative ultrasound. Nephrol Dial Transplant 2000; 15:1847-1854. |
|20.||Rix M, Andreassen H, Eskildsen P, Langdahl B, Olgaard K. Bone mineral density and biochemical markers of bone turnover in patients with predialysis chronic renal failure. Kidney Int 1999; 56:1084-1093. |
|21.||Regidor DL, Kovesdy CP, Mehrotra R, Rambod M, Jing J, McAllister CJ, et al. Serum alkaline phosphatase predicts mortality among maintenance hemodialysis patients. J Am Soc Nephrol 2008; 119:2193-2203. |
|22.||Kara IH, Yilmaz ME, Turgutalp K. The evaluation of quantitative heel ultrasound measurements in hemodialysis and continuous peritoneal dialysis patients. Middle East J Age Ageing 2005; 3:1-13. |
|23.||Nafie ES, Mansour HH, Mohammed RR, Khattab SS, Khaled MF, Fahmy AM, Gaber HA. Assessment of vascular calcification in egyptian patients with chronic kidney disease. World J Med Sci 2011; 6:183-192. |
|24.||Baskin E, Besbas N, Saatci U, Baskin E, Besbas N, Saatci U, et al. Biochemical markers of bone turnover in the diagosis of renal osteodystrophy in dialyzed children. Turk J Pediatr 2004; 46:28-31. |
|25.||Bakkaloglu SA, Wesseling-Perry K, Pereira RC, Gales B, Wang HJ, Elashoff RM, Salusky IB. Value of the new bone classification system in pediatric renal osteodystrophy. Clin J Am Soc Nephrol 2010; 10:1730-1731. |
|26.||Martin KJ, Juppner H, Sherrard DJ, Goodman WG, Kaplan MR, Nassar G, et al. First- and second-generation immunometric PTH assays during treatment of hyperparathyroidism with cinacalcet HCl. Kidney Int 2005; 68:1236-1243. |
|27.||Salusky IB, Goodman WG, Sahney S, Gales B, Perilloux A, Wang HJ, et al. Sevelamer controls parathyroid hormone-induced bone disease as efficiently as calcium carbonate without increasing serum calcium levels during therapy with active vitamin D sterols. J Am Soc Nephrol 2005; l16:2501-2508. |
|28.||Aggarwal HK, Jain D, Yadav S, Kaverappa V. Bone mineral density in patients with predialysis chronic kidney disease. Ren Fail 2013; 35:1105-1111. |
|29.||Brown JP, Josse RG. Clinical practice guidelines for the diagnosis and management of osteoporosis in Canada. Can Med Assoc J 2002; 167:1S-34S. |
|30.||Ha SK, Park CH, Seo JK, Park SH, Kang SW, Choi KH, et al. Studies on bone markers and bone mineral density in patients with chronic renal failure. Yonsei Med J 1996; 37:350-365. |
|31.||Doumouchtsis KK, Kostakis AI, Doumouchtsis SK, Tziamalis MP, Stathakis CP, Diamanti-Kandarakis E, et al. Associations between osteoprotegerin and femoral neck BMD in hemodialysis patients. J Bone Miner Metab 2008; 26:66-72. |
|32.||Elder GJ, Mackun K. 25-Hydroxyvitamin D deficiency and diabetes predict reduced BMD in patients with chronic kidney disease. J Bone Miner Res 2006; 21:1778-1784. |
|33.||Obatake N, Ishimura E, Tsuchida T, Hirowatari K, Naka H, Imanishi Y, et al. Annual change in bone mineral density in predialysis patients with chronic renal failure: significance of a decrease in serum 1,25-dihydroxy-vitamin D. J Bone Miner Metab 2007; 25:74-79. |
|34.||Wanic-Kossowska M, Bombicki K, Kozio³ L, Czarnecki R. Levels of l-carnitine in serum of patients with chronic renal failure treated by hemodialysis (HD). Pol Arch Med Wewn 1998; 99:314-322. |
|35.||Calvani M, Benatti P, Mancinelli A, Dlddio S, Giodano V, Koverech A, et al. Carnitine replacement in end-stage renal disease and hemodialysis. Ann NY Acad Sci 2004; 1033:52-66. |
|36.||Cavazza C. Composition for the prevention and treatment of osteoporosis due to menopause syndrome. US Patent 6 335 038, column 4; 2004. |
|37.||Savica V, Santoro D, Mazzaglia G, Ciolino F, Monardo P, Calvani M, et al. l-Carnitine infusions may suppress serum C-reactive protein and improve nutritional status in maintenance hemodilysis patients. J Ren Nutr 2005; 15:225-230. |
|38.||Armagan O. Levels of IGF-1 and their relationship with bone mineral density in the premenopausal women with fibromyalgia syndrome. Rheumatism 2008; 23:118-123. |
|39.||Frystyk J, Ivarsen P, Skjærbæk C, Flyvbierg A, Pedersen ED, Orskov H. Serum-free insulin-like growth factor I correlates with clearance in patients with chronic renal failure. Kidney Int 1999; 56:2076-2084. |
|40.||Tönshoff B, Kiepe D, Ciarmatori S. Growth hormone/insulin-like growth factor system in children with chronic renal failure. Reprod Biol Endocrinol 2004; 16:34-40. |
[Figure 1], [Figure 2], [Figure 3]
[Table 1], [Table 2], [Table 3], [Table 4], [Table 5], [Table 6]