| Title |
Association of adiposity with hemoglobin levels in patients with chronic kidney disease not on dialysis
|
|---|---|
| Published in |
Clinical and Experimental Nephrology, November 2017
|
| DOI | 10.1007/s10157-017-1501-y |
| Pubmed ID | |
| Authors |
Hirokazu Honda, Kota Ono, Tadao Akizawa, Kosaku Nitta, Akira Hishida |
| Abstract |
In the general population, adiposity influences erythropoiesis and iron metabolism. We aimed to assess the relationships between adiposity [estimated by body mass index (BMI) and abdominal circumference (AC)] and biomarkers of erythropoiesis in patients with chronic kidney disease (CKD) not on dialysis. A total of 2322 patients from the Chronic Kidney Disease Japan Cohort study were included. Patients were grouped according to BMI (low: < 18.5 kg/m(2), normal: 18.5-24.5 kg/m(2), and high: ≥ 25 kg/m(2)) and AC categories (large: ≥ 90 cm for men and ≥ 80 cm for women; small: < 90 cm and < 80 cm, respectively). Body composition and laboratory data were assessed at baseline, and at 1 and 2 years of follow-up. Multivariate regression analysis of the 3 time-points showed that high BMI and large AC in male patients were significantly associated with higher hemoglobin levels. Hemoglobin levels were lower in female patients with low BMI and small AC than that in female patients with normal BMI and large AC, respectively; however, hemoglobin levels plateaued above a threshold of 25 kg/m(2) for BMI and 80 cm for AC. While BMI and AC were positively associated with C-reactive protein levels, they were not associated with levels of transferrin saturation, ferritin, and erythropoietin in multivariate models. Body composition appears to be associated with erythropoiesis; however, adiposity may be only associated with increased erythropoiesis in male patients. In addition, body composition does not appear to hamper iron metabolism in CKD patients not on dialysis. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 17% |
| Student > Ph. D. Student | 3 | 13% |
| Professor | 2 | 9% |
| Student > Postgraduate | 2 | 9% |
| Student > Master | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 8 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 30% |
| Biochemistry, Genetics and Molecular Biology | 2 | 9% |
| Environmental Science | 1 | 4% |
| Psychology | 1 | 4% |
| Nursing and Health Professions | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 9 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 October 2018.
All research outputs
#16,104,633
of 23,900,102 outputs
Outputs from Clinical and Experimental Nephrology
#410
of 768 outputs
Outputs of similar age
#210,836
of 333,061 outputs
Outputs of similar age from Clinical and Experimental Nephrology
#4
of 12 outputs
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