| Literature DB >> 30583718 |
Jutta Dierkes1, Helene Dahl2, Natasha Lervaag Welland2, Kristina Sandnes2, Kristin Sæle3, Ingegjerd Sekse3, Hans-Peter Marti2,3.
Abstract
Following publication of the original article [1], the authors reported an error in the presentation of Table 3 and Table 4.Entities:
Year: 2018 PMID: 30583718 PMCID: PMC6304759 DOI: 10.1186/s12882-018-1149-1
Source DB: PubMed Journal: BMC Nephrol ISSN: 1471-2369 Impact factor: 2.388
Multivariate logistic regression with Sarcopenia as dependent variable
| Odds ratio (95% confidence interval) | |
|---|---|
| CKD patients (reference) | |
| ESRD-HD | 0.31 (0.08, 1.25) |
| Renal transplant | 0.80 (0.35, 1.83) |
| Gender (female =1) | 2.87 (1.27, 6.48) |
| Age (per year increase) | 1.10 (1.06, 1.14) |
| Prescribed medications (per no. increase) | 1.19 (1.07. 1.32) |
| BMI (per unit increase) | 0.92 (0.85, 0.99) |
Multivariate logistic regression with ‘central obesity’ as dependent variable
| Odds ratio (95% confidence interval) | |
|---|---|
| CKD patients (reference) | |
| ESRD-HD | 2.12 (0.55, 8.18) |
| Renal transplant | 2.00 (0.71, 5.62) |
| Diagnosis of diabetes mellitus | 3.10 (1.20, 8.03) |
| Fat mass (increase in 1 kg) | 1.29 (1.20, 1.39) |
New
| Odds ratio (95% confidence interval) | |
|---|---|
| Multivariate logistic regression with Sarcopenia as dependent variable | |
| CKD patients (reference) | |
| ESRD-HD | 0.31 (0.08, 1.25) |
| Renal transplant | 0.80 (0.35, 1.83) |
| Gender (female =1) | 2.87 (1.27, 6.48) |
| Age (per year increase) | 1.10 (1.06, 1.14) |
| Prescribed medications (per no. increase) | 1.19 (1.07. 1.32) |
| BMI (per unit increase) | 0.92 (0.85, 0.99) |
New
| Odds ratio (95% confidence interval) | |
|---|---|
| Multivariate logistic regression with ‘central obesity’ as dependent variable | |
| CKD patients (reference) | |
| ESRD-HD | 2.12 (0.55, 8.18) |
| Renal transplant | 2.00 (0.71, 5.62) |
| Diagnosis of diabetes mellitus | 3.10 (1.20, 8.03) |
| Fat mass (increase in 1 kg) | 1.29 (1.20, 1.39) |