| Literature DB >> 26030256 |
Seon Ha Baek1, Shin young Ahn1, Sung Woo Lee1, Youn Su Park1, Sejoong Kim2, Ki Young Na2, Dong-Wan Chae2, Suhnggwon Kim3, Ho Jun Chin2.
Abstract
BACKGROUND: The proportion of elderly patients beginning to undergo dialysis is increasing globally. Whether early referral (ER) of elderly patients is associated with favorable outcomes remains under debate. We investigated the influence of referral timing on the mortality of elderly patients.Entities:
Mesh:
Year: 2015 PMID: 26030256 PMCID: PMC4451015 DOI: 10.1371/journal.pone.0128715
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Baseline characteristics of patients at initiation of dialysis according to the timing of nephrology referral.
| All 820 | Early referral 430 | Late referral 390 | P-value | |
|---|---|---|---|---|
|
| 496 (60.5) | 252 (58.6) | 244 (62.6) | 0.253 |
|
| 76.3 ± 5.1 | 76.5 ± 5.3 | 76.2 ± 4.9 | 0.501 |
|
| 523 (65.3) | 288 (67.3) | 235 (63.0) | 0.207 |
|
| 803 (98.3) | 422 (98.4) | 381 (98.2) | 1.000 |
|
| 297 (36.2) | 178 (41.4) | 119 (30.5) | 0.001 |
|
| 109 (13.3) | 61 (14.2) | 48 (12.3) | 0.471 |
|
| <0.001 | |||
|
| 197 (187/10) | 150 (145/5) | 47 (42/5) | |
|
| 598 | 276 | 322 | |
|
| 130.8 ± 25.6 | 130.1 ± 25.7 | 131.6 ± 25.5 | 0.395 |
|
| 73.4 ± 14.8 | 72.9 ± 15.0 | 74.1 ± 14.5 | 0.253 |
|
| 6.02 ± 2.47 | 6.20 ± 2.35 | 5.83 ± 2.58 | 0.033 |
|
| 10.48 ± 4.86 | 9.88 ± 4.37 | 11.15 ± 5.26 | <0.001 |
|
| 9.4 ± 5.6 | 8.3 ± 4.2 | 10.7 ± 6.5 | <0.001 |
|
| 9.5 ± 1.7 | 9.5 ± 1.6 | 9.4 ± 1.7 | 0.483 |
|
| 3.2 ± 0.6 | 3.4 ± 0.6 | 3.0 ± 0.6 | <0.001 |
|
| 8.9 ± 0.8 | 8.8 ± 0.7 | 9.0 ± 0.9 | 0.003 |
|
| 5.0 ± 1.7 | 4.9 ± 1.6 | 5.2 ± 1.9 | 0.012 |
|
| 25.1 ± 28.1 | 27.5 ± 26.1 | 22.5 ± 30.0 | 0.012 |
Abbreviations: AVF, arteriovenous fistula; AVG, arteriovenous graft; CVC, central venous catheter; eGFR, estimated glomerular filtration rate; WBC, white blood cell
* Vascular access was analyzed in 795 patients because of unavailable data.
†eGFR was calculated using the Modification of Diet in Renal Disease study equation
Factors associated with early referral using multivariable logistic regression.
| Odds ratio | 95% CI | P-value | |
|---|---|---|---|
|
| 0.809 | 0.588–1.114 | 0.194 |
|
| 1.031 | 1.000–1.063 | 0.050 |
|
| 1.104 | 1.027–1.187 | 0.007 |
|
| 2.087 | 1.598–2.725 | <0.001 |
|
| 0.769 | 0.630–0.938 | 0.010 |
|
| 0.902 | 0.816–0.998 | 0.045 |
|
| 3.371 | 2.252–5.046 | <0.001 |
Abbreviations: AVF, arteriovenous fistula; AVG, arteriovenous graft; CVC, central venous catheter
Fig 1Kaplan—Meier curves for 820 patients with end stage renal disease who initiated hemodialysis during total follow-up period.
All-cause mortality rates according to the referral timing.
Fig 2Death rate during total follow-up period (A) and at 90 days (B) according to referral timing.
Effect of timing of nephrology referral on patient survival using multivariable cox proportional hazard model.
| Cox proportional hazard model | HR ER/LR | 95% CI | P-value |
|---|---|---|---|
|
| 0.760 | 0.619–0.933 | 0.009 |
|
| 0.422 | 0.215–0.828 | 0.012 |
|
| 1.156 | 0.879–1.521 | 0.301 |
Abbreviations: ER, early referral; LR, late referral; ACM, all-cause mortality Multivariable, adjusted for age, gender, diabetes mellitus, hypertension, serum creatinine, albumin, comorbidites including cardiovascular disease and malignancy, type of vascular access at the first dialysis