Literature DB >> 30048464

The effect of a previous created distal arteriovenous-fistula on radial bone DXA measurements in prevalent renal transplant recipients.

Anna Walder1, Martin Müller2, Suzan Dahdal1, Daniel Sidler1, Vasilios Devetzis1, Alexander B Leichtle3, Martin G Fiedler3, Albrecht W Popp4, Kurt Lippuner4, Bruno Vogt1, Dominik Uehlinger1, Uyen Huynh-Do1, Spyridon Arampatzis1.   

Abstract

BACKGROUND: Accelerated bone loss occurs rapidly following renal transplantation due to intensive immunosuppression and persistent hyperparathyroidism. In renal transplant recipients (RTRs) due to the hyperparathyroidism the non-dominant forearm is often utilized as a peripheral measurement site for dual-energy x-ray absorptiometry (DXA) measurements. The forearm is also the site of previous created distal arteriovenous fistulas (AVF). Although AVF remain patent long after successful transplantation, there are no data available concerning their impact on radial bone DXA measurements.
METHODS: In this cross-sectional study we performed DXA in 40 RTRs with preexisting distal AVF (RTRs-AVF) to assess areal bone mineral density (aBMD) differences between both forearms (three areas) and compared our findings to patients with chronic kidney disease (CKD, n = 40), pre-emptive RTRs (RTRs-pre, n = 15) and healthy volunteers (n = 20). In addition, we assessed relevant demographic, biochemical and clinical aspects.
RESULTS: We found a marked radial asymmetry between the forearms in RTRs with preexisting AVF. The radial aBMD at the distal AVF forearm was lower compared to the contralateral forearm, resulting in significant differences for all three areas analyzed: the Rad-1/3: median (interquartile range) in g/cm2, Rad-1/3: 0.760 (0.641-0.804) vs. 0.742 (0.642, 0.794), p = 0.016; ultradistal radius, Rad-UD: 0.433 (0.392-0.507) vs. 0.420 (0.356, 0.475), p = 0.004; and total radius, Rad-total: 0.603 (0.518, 0.655) vs. 0.599 (0.504, 0.642), p = 0.001). No such asymmetries were observed in any other groups. Lower aBMD in AVF forearm subregions resulted in misclassification of osteoporosis.
CONCLUSIONS: In renal transplant recipients, a previously created distal fistula may exert a negative impact on the radial bone leading to significant site-to-site aBMD differences, which can result in diagnostic misclassifications.

Entities:  

Mesh:

Year:  2018        PMID: 30048464      PMCID: PMC6061984          DOI: 10.1371/journal.pone.0200708

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Accelerated bone loss occurs rapidly following renal transplantation and is associated with considerable fracture risk compared to other chronic kidney disease (CKD) patients [1,2]. During the post-transplant period the major skeletal effects of intense immunosuppression and persistent hyperparathyroidism are cortical and trabecular bone loss [3-5]. Within the first five years after transplantation, more than one quarter of renal transplant recipients (RTRs) will sustain a fracture, most commonly a low-energy fracture of the extremities [6,7]. Consequently, evaluation by dual-energy X-ray absorptiometry (DXA) and classification of bone loss at peripheral bone sites are critical for fracture risk assessment and recommended by current guidelines [8-10]. In clinical practice areal bone mineral density (aBMD) measured by DXA, is the gold standard for diagnosing bone disease. There is also growing evidence that aBMD by DXA predicts fractures across the spectrum of CKD severity [10,11]. Distal radius, a peripheral cortical-rich bone, is one of the preferred measuring site for assessing catabolic skeletal effects of hyperparathyroidism and is also predictive for fracture risk in CKD patients [12-16]. The non-dominant forearm is often utilized as a peripheral measuring site in renal transplant recipients with persistent hyperparathyroidism. The distal forearm is also the preferential site for radiocephalic arteriovenous-fistulas (AVF), which serves as the standard vascular access site for hemodialysis. AVF remain patent in most RTRs long after discontinuation of hemodialysis following successful transplantation. Data on the potential long-term impact of AVF on peripheral bones are scarce and currently available only for hemodialysis patients [17]. No studies in RTRs have been ever conducted investigating the influence of a previously created radiocephalic AVF on peripheral radial bone aBMD measurements and potential diagnostic misclassifications. Thus, the main objective of this cross-sectional study was to explore the impact of the radiocephalic AVF on the ipsilateral radial bone characteristics in RTRs. We conducted aBMD measurements between both forearms in prevalent RTRs with previously created radiocephalic AVF and compared them with forearms measurements in relevant groups including pre-emptive renal transplant patients (RTRs-Pre), CKD-patients with no history of dialysis or AVF placement as well as healthy volunteers.

Subjects and methods

Study participants

All study participants, were recruited within the Department of Nephrology and Hypertension, Bern Inselspital University Hospital, Switzerland. All eligible subjects were 18 years of age and CKD was defined as an estimated glomerular filtration rate (eGFR) of ≤ 90 mL/min. RTRs included in our study had documented, stable renal function during one month before study recruitment. Healthy controls (normal kidney function according to age related eGFR calculation, with no microalbuminuria or antihypertensive medications) were recruited among the staff of the Nephrology department. The eGFR was determined by CKD-EPI formula [18]. RTRs with AVF were on hemodialysis for at least six months before transplantation. Radial AVF in RTRs were located on the same arm during the dialysis period. Preemptive RTRs were transplanted before initiation of maintenance dialysis procedure or AVF surgical creation. Patients with factors that might cause a difference in aBMD between the two forearms that could interfere with results were excluded from the study (i.e. previous forearm fracture, bilateral AVF, vascular stent, or extra osseous calcification based on radiological/DXA examinations). The Ethics Committee of the Canton of Bern, Switzerland, approved the primary study protocol and the subsequent amendments (KEK- 082/12, amend. 02/2017). Written informed consent was obtained from all participants.

Clinical assessments

All patients included in the study were surveyed regarding medical history, medication use, history of forearm fractures and previous glucocorticoid exposure. A fragility fracture was defined as a fracture associated with trauma equivalent to or less than a fall from standing height. Medical records were reviewed to assess the primary kidney disease, current medication including 25-hydroxyvitamin D/calcium supplementation as well as reports of AVF surgery, hemodialysis duration, and transplantation data, where applicable. When available, reported fractures were confirmed with X-ray reports. In all subjects, height was measured twice on a wall-mounted Harpenter StadiometerTM and weight on a calibrated scale.

Laboratory assessment

Each subject reported to the laboratory for blood sampling after fasting overnight. Serum creatinine, calcium and phosphorus analyses were performed using automated techniques (Roche Modular P800, Roche Diagnostics, Manheim, Germany). Serum iPTH was determined using an electrochemiluminescence immunoassay (Cobas, Roche Diagnostics, Mannheim, Germany). Serum 25-hydroxyvitamin D was measured by radioimmunoassay (Gamma B, Immunodiagnostics Systems LTD, Boldon, UK).

Assessment of areal bone mineral density

Areal BMD was measured at the Department of Osteoporosis, University Hospital Bern, Switzerland, by DXA. Scans were performed using a standard DXA device (Hologic QDR 4500 ATM, Hologic, Bedford, MA, USA). BMD was measured at three sites including the distal radius (first third: Rad-1/3, ultradistal: Rad-UD, total: Rad-total) subregions. The manufacturer's software was used to analyze the regions of interest at the proximal femur and the distal radius. Values of aBMD were expressed in g/cm2. Validation of assay precision was performed daily using an artificial anthropometric spine supplied by the manufacturer. The overall precision error was 0.3% in vitro, and the mean precision error in vivo in our hands was 1.1%- 1.4%.

Statistical analysis

Statistical analyses were performed using Stata® 13.1 (StataCorp, College Station, Texas, USA). Continuous variables of clinical characteristics and covariates of all study participants were compared using the Kruskal-Wallis test and Wilcoxon rank-sum test as post-hoc test since most variables were not normally distributed data. Categorical variables were compared using Fisher’s exact test or in case of paired categorical data McNemar’s test. The site-to-site differences in bone density parameters of the forearms (aBMD) were compared within each group using the Wilcoxon signed-rank test. Comparison of aBMD% difference (ΔBMD%) between both forearms among RTRs-AVF (ΔBMD% between AVF vs. non-AVF site) and other groups (ΔBMD% between non-dominant vs. dominant site) were calculated using the following formulas: in RTR-AVF [ΔBMD% = (nonAVF − AVF) / non-AVF × 100)] and for all other groups [ΔBMD% = (dominant–non-dominant) / non-dominant × 100)]. Spearman’s correlation coefficients were calculated to investigate for any association between ΔBMD and AVF. Continuous data are reported as median (interquartile range, IQR) and categorical data are shown as number (percentage) with a level of significance of p < 0.05.

Results

Characteristics of the study population

The study population consisted of 40 RTRs with AVF, 40 CKD patients, 15 preemptive RTRs and 20 healthy volunteers. Baseline characteristics concerning demographics, clinical parameters and medications of the study population are shown in .

Baseline clinical and biochemical characteristics.

Values are presented as median (interquartile range) for continuous variables or as absolute number and percentages (%) for categorical variables. RTRs: renal transplant recipients, AVF: arterio-venous fistulas, CKD: chronic kidney disease, Healthy: healthy volunteers, RTRs-Pre: preemptive renal transplant recipient, eGFR: estimated glomerular filtration rate, CKD-EPI: chronic kidney disease—epidemiology collaboration, iPTH: intact parathormone, Vit-D: vitamin D. RTRs-Pre: preemptive renal transplant recipient, BMI: body mass index, RTx: renal transplantation, Hx: history, DXA: dual energy x-ray absorptiometry, ADPKD: autosomal dominant polycystic kidney disease. *statistically significant difference <0.005, (Kruskal-Wallis test) Due to the heterogeneous groups, no statistical tests were performed concerning baseline characteristics. All RTRs with AVF had been on dialysis for at median of 27 months before renal transplantation. Most of them had a still functioning AVF at the non-dominant forearm. The most common etiology of primary kidney disease in all patient groups was glomerulonephritis. The standard transplantation immunosuppressant regimen at our center consists of quadruple therapy with baxiliximab, calcineurin inhibitors (primarily cyclosporin A), antimetabolites (primarily mycophenolate mofetil), and steroids which are tapered slowly. Baseline laboratory values including intact serum PTH and vitamin D levels are shown in Table 1.
Table 1

Baseline clinical and biochemical characteristics.

Values are presented as median (interquartile range) for continuous variables or as absolute number and percentages (%) for categorical variables.

RTRs-AVF (n = 40)CKD (n = 40)Healthy (n = 20)RTRs-Pre (n = 15)
Demographics
Age, years58 (49, 63)64 (48, 71)52 (46, 57)55 (47, 60)
Male sex31 (78)26 (65)5 (25)14 (93.3)
Height, cm168 (161, 174)168 (159, 172)168 (160, 173)177 (169, 178)
Weight, kg75 (63, 88)76 (54, 89)69 (60, 86)82 (74, 94)
BMI, kg/m227 (23, 30)27 (25, 31)25 (22, 33)26 (24, 30)
Patent AV Fistula26 (65)---
AV Fistula left forearm31 (78)---
Age at RTx, years49 (39, 46)--54 (42, 59)
Time on dialysis, months27 (14, 52)--0
Time RTx to DXA, months70 (19, 126)--27 (8, 56)
Clinical parameters
Etiology of renal failure
Glomerulonephritis/ vasculitis14 (35)16 (40)7 (47)
Diabetic nephropathy6 (15)3 (8)1 (7)
Vascular nephropathy2 (5)9 (23)0 (0)
Hereditary/APDKD11 (27.5)3 (7.5)1 (6.67)
Other or unknown14 (35)16 (40)7 (46.67)
Medication, intake
Glucocorticoids27 (68)9 (23)-13 (87)
Calcineurin inhibitors34 (85)3 (8)-15 (100)
Antimetabolites33 (83)2 (5)-14 (93)
Using calcium16 (40)12 (30)3 (15)5 (33)
Under vitamin D25 (63)18 (45)2 (10)9 (60)
Biochemical parameters
Creatinine133 (106, 222)120 (86, 212)67 (62, 74)156 (128, 168)*
eGFR46 (26, 54)48 (26, 71)90 (86, 90)67 (38, 55)*
Calcium2.4 (2.3, 2.5)2.3 (2.2, 2.4)2.3 (2.2, 2.4)2.4 (2.4, 2.5)*
iPTH94 (54, 143)48 (33, 98)30 (26, 37)85 (38, 128)*
25(OH)VitD42 (28, 54)52 (32, 64)58 (46, 78)59 (43, 65)*
1,25 (OH)2-Vit D46 (34, 74)45 (30, 63)88 (70, 103)97 (60, 113)*

RTRs: renal transplant recipients, AVF: arterio-venous fistulas, CKD: chronic kidney disease, Healthy: healthy volunteers, RTRs-Pre: preemptive renal transplant recipient, eGFR: estimated glomerular filtration rate, CKD-EPI: chronic kidney disease—epidemiology collaboration, iPTH: intact parathormone, Vit-D: vitamin D. RTRs-Pre: preemptive renal transplant recipient, BMI: body mass index, RTx: renal transplantation, Hx: history, DXA: dual energy x-ray absorptiometry, ADPKD: autosomal dominant polycystic kidney disease.

*statistically significant difference <0.005, (Kruskal-Wallis test)

Evaluation of aBMD between forearm aBMD measurements

aBMD evaluation of the forearm in RTRs revealed a significant and negative impact of AVF to the ipsilateral to AVF radius site (Table 2).
Table 2

Comparison between forearms in renal transplant recipients with AVF (RTRs-AVF, n = 40).

MeasurementNon-AVF forearmAVF forearmp-value*
Radius, BMD, g/cm2
Rad-1/30.760 (0.641, 0.804)0.742 (0.642, 0.794)0.016*
Rad-total0.603 (0.518, 0.655)0.599 (0.504, 0.642)0.001*
Rad-UD0.433 (0.392, 0.507)0.420 (0.356, 0.475)0.004*
T-Score, SD
Rad-1/3-1.0 (-1.8, 0.1)-1.1 (-2.0, -0.4)0.014*
Rad-total-1.4 (-2.1, -0.4)-1.6 (-2.5, -0.8)0.004*
Rad-UD-1.5 (-2.0, -0.6)-1.6 (-2.5, 1.0)0.002*

BMD: bone mineral density, RTRs: renal transplant recipients, AVF: arteriovenous fistula, Rad: radius, 1/3: one-third, Rad-total: total radius, Rad-UD: ultradistal radius.

* statistically significant difference (Wilcoxon signed-rank test), values are presented as median (interquartile range)

BMD: bone mineral density, RTRs: renal transplant recipients, AVF: arteriovenous fistula, Rad: radius, 1/3: one-third, Rad-total: total radius, Rad-UD: ultradistal radius. * statistically significant difference (Wilcoxon signed-rank test), values are presented as median (interquartile range) The aBMD at the AVF forearm site was significantly lower than at the forearm without AVF. This observation was evident in all subregions of the AVF radius sites, i.e. at the 1/3 Radius, median (IQR); [Rad-1/3: 0.760 (0.641, 0.804) vs. 0.742 (0.642, 0.794), p = 0.016], ultra-distal Radius [Rad-UD: 0.433 (0.392–0.507) vs. 0.420 (0.356–0.475), p = 0.004], and total radius [Rad-total: 0.603 (0.518–0.655) vs. 0.599 (0.504–0.642), p = 0.001]. Accordingly, T-scores in the AVF forearm were also significantly lower in all subregions of the AVF compared to non-AVF radial sites. Comparison between aBMD forearms subregions (dominant forearm vs. non-dominant forearm) in CKD patients (n = 40, CKD), in the healthy control group (n = 20, Healthy), and in preemptive renal transplantation group (n = 15, RTR-Pre) are shown in Table 3.
Table 3

Comparison between aBMD forearms subregions (dominant forearm vs. non-dominant forearm) in chronic kidney disease patients (CKD, n = 40), healthy control group (Healthy, n = 20), and preemptive renal transplantation group (RTRs-pre, n = 15).

Dominant forearmNon-dominant forearmp-valuea
CKD (n = 40)
BMD, g/cm2
Rad-1/30.753 (±0.132)0.756 (0.704, 0.823)0.990
Rad-total0.620 (±0.117)0.623 (0.571, 0.695)0.326
Rad-UD0.474 (±0.101)0.488 (0.427, 0.533)0.226
T-Score, SD
Rad-1/3-0.1 (-1.6, 0.8)0.1 (-1.7, 0.7)0.922
Rad-total-0.3 (-1.2, 0.4)-0.4 (-1.1, 0.2)0.402
Rad-UD-0.5 (-1.2, 0.0)-0.5 (-1.3, -0.1)0.342
Healthy (n = 20)
BMD, g/cm2
Rad-1/30.712 (0.683, 0.740)0.713 (0.677, 0.784)0.380
Rad-total0.595 (0.530, 0.657)0.593 (0.552, 0.669)0.218
Rad-UD0.443 (0.376, 0.537)0.457 (0.396, 0.512)0.550
T-Score, SD
Rad-1/30.0 (-0.8, 0.4)-0.1 (-0.5, 0.6)0.350
Rad-total0.0 (-1.0, 0.9)-0.1 (-0.8, 0.7)0.270
Rad-UD-0.3 (-1.2, 0.9)-0.2 (-1.0, 0.8)0.575
RTRs-pre (n = 15)
BMD, g/cm2
Rad-1/30.758 (0.732, 0.809)0.769 (0.752, 0.800)0.712
Rad-total0.584 (0.555, 0.618)0.580 (0.554, 0.629)0.320
Rad-UD0.434 (0.377, 0.444)0.417 (0.369, 0.462)0.994
T-Score, SD
Rad-1/3-0.3 (-1.6, -0.1)-0.8 (-1.2, 0.5)0.233
Rad-total-1.9 (-2.5, -0.7)-2.1 (-2.6, 1.0)0.267
Rad-UD-1.9 (-2.8, -1.3)-2.2 (-3.0, -1.3)0.147

BMD: bone mineral density, AVF: arteriovenous fistula, Rad: radius, 1/3: one-third, Rad-total: total radius, Rad-UD: ultradistal radius.

a statistically significant difference (Wilcoxon signed-rank test), values are presented as median (interquartile range)

BMD: bone mineral density, AVF: arteriovenous fistula, Rad: radius, 1/3: one-third, Rad-total: total radius, Rad-UD: ultradistal radius. a statistically significant difference (Wilcoxon signed-rank test), values are presented as median (interquartile range) All other analyzed groups, including the CKD-, and the healthy control group which had no history of any hemodialysis treatment or the RTR-Pre with no history of AVF surgical creation on either forearm showed no significant differences between the dominant and non-dominant forearm aBMD measurements. Also, no site-to-site differences were observed in T-scores between forearms.

Evaluation of percent difference of aBMD (ΔBMD%) between forearms and correlation between AVF-use period and ΔBMD%

The comparison of aBMD percentage difference (ΔBMD%) between forearms of all groups (Table 4) were calculated based on the concept that the AVF forearm in RTRs-AVF group corresponds to the non-dominant forearm in subjects with CKD, healthy patients, and preemptive transplanted patients. In all studied subregions (Rad-1/3, Rad-total, and Rad-UD), there was at least a tendency (p<0.1) of a different distribution of the medians of ΔBMD% between the four studied groups. Apart from preemptive transplanted patients, the median of RTR patients was significantly higher compared to the median of ΔBMD% in the healthy group and CKD group in all subregions.
Table 4

Comparison of BMD percentage difference (ΔBMD%) between forearms in (RTRs-AVF, n = 40) and i) chronic kidney disease patients (CKD, n = 40), ii) healthy control group (Healthy, n = 20), as well as iii) preemptive performed renal transplantation group (RTR-Pre, n = 15).

Radius measurement ΔBMD%, median (interquartile range)
Rad-1/3p-valueaRad-totalp-valueaRad-UDp-valuea
RTRs-AVF1.2 (-1.3, 4.8)-1.8 (-1.1, 9.3)-4.4 (-0.8, 9.1)-
CKD0.5 (-3, 3.1)0.070-1.1 (-2.6, 1.9)0.0030.8 (-2.4, 4.6)0.048
Healthy-1.7 (-3.5, 2.4)0.016-1.4 (-4.2, 1)0.005-2.4 (-5.3, 5)0.021
RTRs-Pre0 (-3.3, 1.6)0.1080.9 (-1.7, 2.5)0.2492.4 (-3.8, 7.9)0.42
p-valueb0.07110.00660.0611

BMD: bone mineral density, CKD: chronic kidney disease, RTRs: renal transplant recipients, Rad: radius, 1/3: one-third, Rad-total: total radius, Rad-UD: ultradistal radius. ΔBMD% in CKD, Healthy, RTRs-pre: [(dominant–Non-dominant)/Non-dominant] x 100, ΔBMD% in RTRs: [(Non-AVF–AVF)/AVF] x 100

ap-value of Wilcoxon rank-sum test to RTRs

bp-value of Kruskal-Wallis test between all groups.

BMD: bone mineral density, CKD: chronic kidney disease, RTRs: renal transplant recipients, Rad: radius, 1/3: one-third, Rad-total: total radius, Rad-UD: ultradistal radius. ΔBMD% in CKD, Healthy, RTRs-pre: [(dominant–Non-dominant)/Non-dominant] x 100, ΔBMD% in RTRs: [(Non-AVF–AVF)/AVF] x 100 ap-value of Wilcoxon rank-sum test to RTRs bp-value of Kruskal-Wallis test between all groups. Finally, no significant correlation was found by analyzing the impact of the time period between AVF surgical creation until renal transplantation (AVF-use) to the magnitude of the radial site difference (ΔBMD%) in RTRs-AVF; ΔBMD% RAD-1/3: p = 0.960, spearman's rho = -0.0082; ΔBMD% Rad-Total: p = 0.853, spearman's rho = -0.0303; ΔBMD% Rad-UD: p = 0.998, spearman's rho = 0.0006. Discrepancy between classification of osteoporosis and osteopenia by using aBMD assessments at the AVF forearm sites in RTRs with AVF. Fig 1 shows the diagnostic misclassification of aBMD (osteoporosis defined as a T-score ≤ 2.5 SD and osteopenia T-score >-2.5 & ≤-1 SD) in RTRs-AVF as assessed by measurements in different radial subregions of either forearm.
Fig 1

Categorized aBMD findings (%) by T-score ≤-2.5 SD (osteoporosis in dark grey) and T-score >-2.5 & ≤-1 SD (osteopenia in light grey) in renal transplant recipients with AVF as assessed by measurements in all 3 peripheral bone regions (Rad: radius, 1/3: one-third, Rad-total: total radius, Rad-UD: ultradistal radius.) of either forearm (AVF forearm: arteriovenous fistula forearm; non AVF forearm: non-arteriovenous fistula).

P-values of McNemars test between the arms.

Categorized aBMD findings (%) by T-score ≤-2.5 SD (osteoporosis in dark grey) and T-score >-2.5 & ≤-1 SD (osteopenia in light grey) in renal transplant recipients with AVF as assessed by measurements in all 3 peripheral bone regions (Rad: radius, 1/3: one-third, Rad-total: total radius, Rad-UD: ultradistal radius.) of either forearm (AVF forearm: arteriovenous fistula forearm; non AVF forearm: non-arteriovenous fistula).

P-values of McNemars test between the arms.

Discussion

Due to the previous longstanding history of CKD, persistent post transplantation hyperparathyroidism, high doses corticosteroids after transplantation and various mineral and bone disorders virtually all RTRs are vulnerable to rapid cortical and trabecular bone loss. Thus, early evaluation of peripheral cortical bone sites by DXA, particularly in RTRs with longstanding hyperparathyroidism, is crucial for accurate fracture risk assessment and therapy initiation. Our study set out to analyze the impact of a preexisting forearm AVF on the radius of RTRs. A marked radial asymmetry was found in RTRs with preexisting AVF between the site ipsilateral to the AVF compared to the contralateral site, resulting in significant differences between all forearm subregions analyzed including Rad-1/3, Rad-UD, and Rad-total. In contrast, no such asymmetries were observed between radial aBMD measurements of forearms in preemptive RTRs, CKD patients or healthy subjects. Furthermore, lower aBMD at the AVF forearm subregions caused diagnostic misclassification and resulted in more osteoporotic cases. Although this is the first study reporting the negative impact of the aBMD of the distal radius in RTRs, our findings are in accordance with a previous study conducted in long-term hemodialysis patients. Muxi et al. analyzed 30 long-term end stage renal disease patients on hemodialysis and found that the ipsilateral to AVF forearm had significantly lower aBMD values than the contralateral site in all locations analyzed [17]. A marked peripheral bone asymmetry between the dominant and non-dominant radius has been also shown in active tennis players exposed to asymmetrical mechanical loading, particularly in those who started playing during pre- or early puberty [19,20]. In the general population, as in our healthy control group, numerous studies have reported no site-specific differences for the densitometric properties of the radius [21-24]. Consequently, based on current findings, site-to-site radial differences within the general population seems to be negligible, and whilst measurable in some athletes, is considered exercise-induced. In hemodialysis and transplant patients with a peripheral vascular access the site-specific decrease in radial density is probably attributable to the local effects of the AVF. Moreover, these negative effects on radial bone seem to be AVF specific since radial aBMD asymmetry was not present in preemptive RTRs. Although the exact pathomechanism behind the site-specific AVF-induced reduction in radial aBMD is unknown, several studies have indicated that blood flow changes can negatively influence the bone geometry of the extremities [25-27]. Possible mechanisms for this include aberration of blood flow to adjacent bones resulting in subsequent hypoperfusion and elevated sympathetic tone. Bone remodeling secondary to the pulsating pressure of an AVF or fistula-pseudoaneurysms may also lead to significant bone loss and erosion of nearby bones, similar to vertebral body lesions resulting from pulsating abdominal aneurysms [28-30]. In our study no significant correlation was found by analyzing the impact of the time period between AVF placement until renal transplantation (AVF-use) to the magnitude of the radial site difference. In addition, several other factors such as prolonged immobilization, underuse of the fistula arm, and the severity of CKD-associated hyperparathyroidism can alter the bone structure of the forearm bone and have a negatively impact on bone mass measurements [31,32]. PTH excess in patients with already established CKD is also characterized by site-specific skeletal effects concerning both bone density and structure [33,34]. The diagnostic usefulness of DXA for fracture risk prediction in the CKD population has long been under debate. Growing evidence from several trials suggests that low aBMD measured by DXA at the radius and hip can predict future fractures in patients with predialysis CKD, on hemodialysis and in RTRs [11,35-37]. However, our findings suggest that assessing aBMD at the radial site ipsilateral to AVF can result in diagnostic misclassification due to a significant and site-specific reduction in aBMD. If such AVF-related differences are already detectable with a ‘low resolution’ method such as DXA, then results derived from high-resolution peripheral quantitative computed tomography (HR-pQCT) could be far more erroneous. As our results agree with previous findings from patients under hemodialysis, measurement of the contralateral side to the AVF, or assessment of both forearms in patients with impaired renal function and secondary hyperparathyroidism should be considered. This is particularly important in research and in clinical settings as well. Our study does have some limitations. Most importantly, this was a cross-sectional trial and therefore it is not possible to definitively conclude that AVF causes the asymmetry in radial bone density. Several factors other than the AVF which can affect bone characteristics, such as activity levels, lifestyle and dietary factors, were not addressed. Also the dominant forearm may have an impact on radial bone characteristic, an effect described in the literature mostly among highly trained athletes. This study included predominantly a Caucasian cohort of ambulatory dwelling subjects, with a small number of individuals with preemptive transplantation performed, most of them with secondary hyperparathyroidism and immunosuppression according to our local protocols, potentially limiting the translation of our findings to other ethnic groups and RTR cohorts under steroid-sparing regiments. On the other hand, possible local interferences were canceled out by patient selection criteria and contralateral forearm evaluation on the same person. The group selection including a healthy group and RTRs without any history of long term hemodialysis treatment or AVF placement further support our findings although we didn't analysed central skeletal measuring sites. In conclusion, our findings suggest that in RTRs a previously placed AVF may exert a negative impact on the ipsilateral radius resulting in site-to-site aBMD differences, which are detectable by DXA and can result in diagnostic misclassification. Measurement of both forearms should be considered in RTRs with preexisting AVF in order to avoid diagnostic misclassifications. Longitudinal studies are required to determine the mechanism of AVF-induced radial bone deterioration.
  36 in total

1.  KDOQI US commentary on the 2009 KDIGO Clinical Practice Guideline for the Diagnosis, Evaluation, and Treatment of CKD-Mineral and Bone Disorder (CKD-MBD).

Authors:  Katrin Uhlig; Jeffrey S Berns; Bryan Kestenbaum; Raj Kumar; Mary B Leonard; Kevin J Martin; Stuart M Sprague; Stanley Goldfarb
Journal:  Am J Kidney Dis       Date:  2010-04-03       Impact factor: 8.860

2.  Risk factors for hip fracture among patients with end-stage renal disease.

Authors:  C O Stehman-Breen; D J Sherrard; A M Alem; D L Gillen; S R Heckbert; C S Wong; A Ball; N S Weiss
Journal:  Kidney Int       Date:  2000-11       Impact factor: 10.612

3.  Bone mineral density by DXA and HR pQCT can discriminate fracture status in men and women with stages 3 to 5 chronic kidney disease.

Authors:  S A Jamal; A M Cheung; S L West; C E Lok
Journal:  Osteoporos Int       Date:  2012-12       Impact factor: 4.507

Review 4.  Fracture risk assessment in patients with chronic kidney disease.

Authors:  S A Jamal; S L West; P D Miller
Journal:  Osteoporos Int       Date:  2011-09-08       Impact factor: 4.507

5.  Arteriovenous fistula and bone healing: experimental study in the rat.

Authors:  Bulent Adil Tasbas; Sibel Yenidunya; Yoshiaki Hosaka; Toshio Morohoshi
Journal:  J Reconstr Microsurg       Date:  2003-08       Impact factor: 2.873

6.  Upper limb bone mineral density and body composition measured by peripheral quantitative computed tomography in right-handed adults: the role of the dominance effect.

Authors:  G Sergi; E Perissinotto; M Zucchetto; G Enzi; E Manzato; S Giannini; F Bassetto; E M Inelmen; G Baldo; G Rinaldi; A Coin
Journal:  J Endocrinol Invest       Date:  2009-04       Impact factor: 4.256

7.  Bone mineral density changes within six months of renal transplantation.

Authors:  Ted R Mikuls; Bruce A Julian; Al Bartolucci; Kenneth G Saag
Journal:  Transplantation       Date:  2003-01-15       Impact factor: 4.939

Review 8.  Use and safety of unfractionated heparin for anticoagulation during maintenance hemodialysis.

Authors:  Jenny I Shen; Wolfgang C Winkelmayer
Journal:  Am J Kidney Dis       Date:  2012-05-05       Impact factor: 8.860

9.  Prevalence and risk factors of distal radius and calcaneus bone mineral density in Korean population.

Authors:  Aesun Shin; Ji-Yeob Choi; Hye-Won Chung; Sue Kyung Park; Chan Soo Shin; Yoon-Ho Choi; Sung-Il Cho; Dae-Sung Kim; Dong-Il Kim; Kyoung-Mu Lee; Kyoung Ho Lee; Keun-Young Yoo; Daehee Kang
Journal:  Osteoporos Int       Date:  2004-03-24       Impact factor: 4.507

10.  Correlates of trabecular and cortical volumetric bone mineral density of the radius and tibia in older men: the Osteoporotic Fractures in Men Study.

Authors:  Kamil E Barbour; Joseph M Zmuda; Elsa S Strotmeyer; Mara J Horwitz; Robert Boudreau; Rhobert W Evans; Kristine E Ensrud; Moira A Petit; Christopher L Gordon; Jane A Cauley
Journal:  J Bone Miner Res       Date:  2010-05       Impact factor: 6.741

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