| Literature DB >> 31579107 |
Kamalas Amnuay1, Nattachai Srisawat2, Kitsada Wudhikarn3,4, Thamathorn Assanasen5, Chantana Polprasert3,4.
Abstract
Anemia is one of the most common problems in chronic kidney disease (CKD). Despite comprehensive investigations in several cases, definite causes of anemia frequently remain unknown. Our study aimed to analyze the factors that possibly affect anemia in CKD patients who were referred for hematology consultation. A total of 87 patients were retrospectively included in the cohort. Forty-four cases were excluded, including 30 cases with unavailable intact parathyroid hormone (iPTH) data, 11 cases with bone marrow diseases (8 Pure red cell aplasia, 3 Myelodysplastic syndrome) and 3 cases with thalassemia. In total, 43 patients were analyzed. Patients with high iPTH had a significantly lower Hemoglobin (Hb) level and required a higher dose of erythropoiesis stimulating agents (ESAs) compared with the normal iPTH group (Hb 8.29 vs 9.24 mg/dL, P=0.032 and ESAs dose of 16,352.94 vs. 12,444.44 U/week, P=0.024). Univariate, followed by stepwise multivariate analysis was performed and determined that serum phosphate (PO4) was significantly associated with lower Hb level (P=0.01 and P=0.013, respectively). In addition, Hb level was inversely correlated with iPTH and serum phosphate (PO4) level (r=-0.54, P<0.001 and r=-0.47, P=0.005; respectively). Mineral disequilibrium is an important factor associated with anemia in ESA hyporesponsive CKD. Also, hyperphosphatemia and secondary hyperparathyroidism are significantly correlated with low Hb. As a result, we strongly suggest correction of mineral disequilibrium factors prior to performing bone marrow study. ©Copyright: the Author(s), 2019.Entities:
Keywords: Anemia; Chronic kidney disease; Secondary hyperparathyroidism
Year: 2019 PMID: 31579107 PMCID: PMC6761458 DOI: 10.4081/hr.2019.8183
Source DB: PubMed Journal: Hematol Rep ISSN: 2038-8322
Fibrosis grading by reticulin staining.
| Fibrosis grade | Number (total N=42) |
|---|---|
| 0 | 3 |
| 1 | 29 |
| 1-2 | 4 |
| 2 | 4 |
Clinical characteristics of whole, normal iPTH and high iPTH groups.
| Variables | All patients | Normal iPTH (<65 pg/mL) | High iPTH (>65 pg/mL) | P |
|---|---|---|---|---|
| No. Patients | 43 (100%) | 9 (20.9%) | 34 (79.1%) | - |
| Age (years) | 63.0 (33.0-88.0) | 70.22 (60.0-86.0) | 61.09 (33.0-88.0) | 0.02 |
| Sex (%) | - | |||
| Male | 24 (55.8) | 5 (55.6) | 19 (55.9) | |
| Female | 19 (44.2) | 4 (44.4) | 15 (44.1) | |
| BMI (Kg/m2) | 21.29 (14.20-26.45) | 22.30 (21.6-23.2) | 21.18 (14.2-26.45) | 0.54 |
| Underlying disease (%) | - | |||
| Diabetes | 16 (37.2) | 4 (44.4) | 12 (35.3) | |
| Hypertension | 30 (69.8) | 8 (88.9) | 22(22) | |
| Dyslipidemia | 13 (30.2) | 3 (33.3) | 10 (29.4) | |
| No underlying | 6 (14.0) | 1 (11.1) | 5 (14.7) | |
| ESRD on HD (%) | 36 (83.7) | 8 (88.9) | 28 (82.4) | - |
Biochemistry of whole, normal iPTH and high iPTH groups.
| Variables | All patients | Normal iPTH | High iPTH (<65 pg/mL) | P (>65 pg/mL) |
|---|---|---|---|---|
| No. Patients | 43 (100%) | 9 (20.9%) | 34 (79.1%) | - |
| Hb (g/dL) | 8.49 (±1.19) | 9.24 (±0.61) | 8.29 (±1.24) | 0.032 |
| Iron (microgram/dL) | 82.1 (±48.26) | 89.22 (±60.9) | 80.06 (±45.12) | 0.623 |
| Ferritin (ng/mL) | 1115.84 (±895.21) | 1162.32 (±1006.0) | 1102.77 (±878.68) | 0.863 |
| Transferrin (mg/dL) | 215.9 (±65.80) | 231.22 (±101.08) | 211.45 (±53.05) | 0.586 |
| Transferrin saturation (%) | 40.87 (±25.96) | 42.23 (±28.23) | 40.47 (±25.74) | 0.861 |
| Reticulocyte count | 74050 (±35193.49) | 69000 (±22068.07) | 74771.43 (±37031.03) | 0.79 |
| Calcium (mg/dL) | 9.50 (±0.99) | 10.25 (±0.85) | 9.33 (±0.95) | 0.025 |
| Phosphate (mg/dL) | 4.45 (±2.18) | 4.08 (±1.58) | 4.52 (±2.29) | 0.656 |
| ALP (IU/L) | 122.72 (±85.48) | 84.2 (±27.04) | 134.05 (±93.84) | 0.261 |
| Albumin (mg/dL) | 3.51 (±0.61) | 3.20 (±0.66) | 3.5 (±0.58) | 0.141 |
| ESA dose (unit/week) | 15534.88 (±7983.16) | 12444.44 (±2185.81) | 16352.94 (±8755.54) | 0.024 |
| Iron supplement | 16 (37.2%) | 4 (44.4%) | 12 (35.3%) | - |
Univariate and multivariate analysis.
| Parameters | Univariate | Stepwise multivariate | ||
|---|---|---|---|---|
| Coefficient (95% CI) | P | Coefficient (95% CI) | P | |
| Age | 0.023 (0.00 to 0.046) | 0.05 | ||
| BMI | 0.067 (-0.09 to 0.22) | 0.37 | ||
| Serum iPTH/1000 | -0.53 (-1.07 to 0.002) | 0.05 | ||
| Calcium | 0.086 (-0.309 to 0.48) | 0.66 | ||
| Serum phosphate | -0.22 (-0.38 to -0.05) | 0.01 | -0.22 (-0.38 to -0.049) | 0.013 |
| Albumin | -0.24 (-0.91 to 0.43) | 0.47 | ||
In multivariate adjusting for age and serum iPTH and using stepwise for selected final model.
Figure 1.Correlation of Hemoglobin with serum iPTH (A), serum phosphate (PO4) (B) and serum Calcium (C).