| Literature DB >> 23865464 |
István Kiss1, Zoltán Kiss, Csaba Ambrus, András Szabó, János Szegedi, József Balla, Erzsébet Ladányi, Botond Csiky, Ottó Árkossy, Marietta Török, Sándor Túri, Imre Kulcsár.
Abstract
BACKGROUND: Achieving target levels of laboratory parameters of bone and mineral metabolism in chronic kidney disease (CKD) patients is important but also difficult in those living with end-stage kidney disease. This study aimed to determine if there are age-related differences in chronic kidney disease-mineral and bone disorder (CKD-MBD) characteristics, including treatment practice in Hungarian dialysis patients.Entities:
Mesh:
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Year: 2013 PMID: 23865464 PMCID: PMC3720255 DOI: 10.1186/1471-2369-14-155
Source DB: PubMed Journal: BMC Nephrol ISSN: 1471-2369 Impact factor: 2.388
Demographic and laboratory data of the two age groups
| | |||||
|---|---|---|---|---|---|
| Age (year) | | 63.4 ± 14.2 | 51.5 ± 10.1 | 74.5±6.3 | - |
| Gender (%) | Male | 2644 (52.8%) | 1418 (58.8%) | 1226 (47.2%) | |
| | Female | 2364 (47.2%) | 995 (41.2%) | 1369 (52.8%) | |
| BMI (kg/m2) | Male | 26.8 ± 5,2 | 27.0 ± 5.7 | 26.7 ± 4.6 | NS |
| | Female | 26.4 ± 6,1 | 26.4 ± 7.0 | 26.4 ± 5.4 | NS |
| Dialysis modality (%) | PD | 569 (11.4% ) | 341 (14.1%) | 228 (8.9%) | |
| | HD | 4439 (88.6%) | 2072 (85.9%) | 2367 (91.2%) | |
| intact PTH (pg/ml) (median, quartiles) | 178.0 75.8–361.5 | 206.0 82.2–451.0 | 157.0 70.0–30.2 | ||
| intact PTH (pg/ml) (geometric mean, 95% CI of mean) | 158.7 153.5–169.1 | 184.9 175.7–194.6 | 136.7 131.6–143.8 | ||
| Calcium (mmol/l) | 2.25 ± 0.19 | 2.24 ± 0.21 | 2.26 ± 0.17 | ||
| Phosphate (mmol/l) | 1.50 ± 0.49 | 1.63 ± 0.50 | 1.39 ± 0.43 | ||
| CaxP (mmol2/l2) | 3.38 ± 1.10 | 3.63 ± 1.15 | 3.14 ± 0.99 | ||
| Albumin (g/l) | 39.4 ± 4.2 | 39.9 ± 4,3 | 38.9 ± 4.1 | ||
| Diabetes mellitus (%) | 1641 (32.8%) | 658 (27.3%) | 983 (37.9%) | ||
| Bone disease (%) | 1935 (38.6%) | 822 (34.1%) | 1113 (42.9%) | ||
| Soft tissue calcification (%) | 2540 (50.7%) | 1078 (44.7%) | 1462 (56.3%) | ||
| Parathyroidectomy (%) | 104 (2.1%) | 84 (3.5%) | 20 (0.8%) | ||
| Cause of ESRD | Glomerulonephritis | 813 (16.2%) | 524 (21.7%) | 289 (11.1%) | |
| | Tubulointerstitial | 695 (13.9%) | 293 (12.1%) | 402 (15.5%) | |
| | Diabetes mellitus | 1105 (22.1%) | 455 (18.9%) | 650 (25.1%) | |
| | Hypertension | 1146 (22.9%) | 464 (19.2%) | 682 (26.3%) | |
| | Polycystic | 379 (7.6%) | 238 (9.9%) | 141 (5.4%) | |
| | Unknown | 189 (3.8%) | 99 (4.1%) | 90 (3.5%) | NS |
| | other | 681 (13.6%) | 340 (14.1%) | 341 (13.1%) | NS |
| Prescribed therapy (%) | Calcimimetic | 259 (5.2%) | 196 (8.1%) | 63 (2.4%) | |
| | Ca based PO4-binder | 2011 (40.2%) | 1033 (42.8%) | 978 (37.7%) | |
| | Non-Ca based PO4-binder | 947 (18.9%) | 626 (25.9%) | 321 (12.4%) | |
| | Native vitamin D | 166 (3.3%) | 89 (3.7%) | 77 (3.0%) | NS |
| | Active vitamin D | 2020 (40.4%) | 1037 (43%) | 983 (37.9%) | |
| None | 1349 (26.9%) | 489 (20.3%) | 860 (33.1%) | ||
NS non-significant.
Figure 1Association between serum iPTH level, age, and diabetes. Two-way ANOVA: DM p<0,001; age groups p<0,001; interaction DM x age groups p=0,138.
Predictors of iPTH<120 pg/ml using a multivariate logistic regression model
| Age (10 years increments) | 1.07 | 1.02 – 1.11 | <0.01 |
| Ca (0.1mmol/l increments) | 1.23 | 1.19 – 1.27 | <0.001 |
| PO4 (0.1 mmol/l increments) | 0.92 | 0.91 – 0.94 | <0.001 |
| Gender (male vs female) | 1.09 | 0.97 – 1.23 | NS |
NS non-significant.
Numbers and proportions of patients who achieved laboratory targets in different age groups
| Ca (2.1-2.4) | 1499 (62.1%) | 1736 (66.9%) | p<0.001 |
| PO4 (1.2-1.8) | 1186 (49.2%) | 1364 (52.6%) | p<0.05 |
| iPTH (120–540) | 1124 (46.6%) | 1312 (50.6%) | p<0.01 |
| Ca/PO4/PTH in the target range | 382 (15.8%) | 514 (19.8%) | p<0.001 |
Number and proportion of patients based on their serum iPTH and Ca levels
| | |||||
|---|---|---|---|---|---|
| Se– iPTH (pg/ml) | <120 | 208 (4.2%) | 1172 (23.4%) | 469 (9.4%) | 1849 (36.9%) |
| | 120-540 | 494 (9.9%) | 1647 (32.9%) | 295 (5.9%) | 2436 (48.6%) |
| | >540 | 170 (3.4%) | 416 (8.3%) | 137 (2.7%) | 723 (14.4%) |
| Total | 872 (17.4%) | 3235 (64.6%) | 901 (18.0%) | 5008 (100.0%) | |
Numbers of treated patients and prevalence of drugs prescription based on serum iPTH (pg/ml) and Ca (mmol/l) levels
| Calcimimetic | 13 (0.9 %) | 2 (0.4 %) | 64 (3.0 %) | 14 (4.7 %) | 133 (22.7 %) | 33 (24.1 %) |
| Ca-PO4 binder | 567 (41.1 %) | 202 (43.1 %) | 886 (41.4 %) | 95 (32.2 %) | 223 (38.1 %) | 38 (27.7 %) |
| Non Ca-PO4 binder | 155 (11.2 %) | 64 (13.6 %) | 383 (17.9 %) | 85 (28.8 %) | 207 (35.3 %) | 53 (38.7 %) |
| Native vitamin D | 28 (1.5 %) | 7 (0.4 %) | 93 (3.8 %) | 2 (0.08 %) | 32 (4.4 %) | 4 (0.6 %) |
| Active vitamin D analogs | 324 (24 %) | 143 (31.6 %) | 964 (45.6 %) | 155 (52.94 %) | 359 (62.3 %) | 75 (57.1 %) |
| No therapy | 544 (39.4 %) | 152 (32.4 %) | 527 (24.6 %) | 60 (20.3 %) | 51 (8.7 %) | 15 (10.9 %) |