| Literature DB >> 26636318 |
Stéphanie Dizier1,2, Jean-Marie Forel1,2, Louis Ayzac3, Jean-Christophe Richard4, Sami Hraiech1,2, Samuel Lehingue1,2, Anderson Loundou5, Antoine Roch1,2, Claude Guerin4, Laurent Papazian1,2.
Abstract
INTRODUCTION: Bilirubin is well-recognized marker of hepatic dysfunction in intensive care unit (ICU) patients. Multiple organ failure often complicates acute respiratory distress syndrome (ARDS) evolution and is associated with high mortality. The effect of early hepatic dysfunction on ARDS mortality has been poorly investigated. We evaluated the incidence and the prognostic significance of increased serum bilirubin levels in the initial phase of ARDS.Entities:
Mesh:
Substances:
Year: 2015 PMID: 26636318 PMCID: PMC4670098 DOI: 10.1371/journal.pone.0144278
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
General characteristics between survivors and non survivors.
| All | Survivors | Non-survivors |
| |
|---|---|---|---|---|
| (n = 805) | (n = 533) | (n = 272) | ||
|
| ||||
|
| 59±16 | 56±15 | 66±14 | <0.0001 |
|
| 556 (69) | 366 (69) | 190 (70) | 0.73 |
|
| 9.7±3.5 | 9.2±3.4 | 10.7±3.6 | <0.0001 |
|
| 47±16 | 45±17 | 51±15 | <0.0001 |
|
| 0.009 | |||
|
| 666 (83) | 428 (80) | 238 (88) | |
|
| 54 (7) | 39 (7) | 15 (6) | |
|
| 85 (11) | 66 (12) | 19 (7) | |
|
| 13 [8–24] | 12 [8–21] | 14 [9–34] | 0.002 |
|
| 97 [68–164] | 92 [65–152] | 120 [78–184] | 0.0001 |
|
| ||||
|
| 0.76 | |||
|
| 475 (59) | 307 (57) | 168 (62) | |
|
| 160 (20) | 115 (22) | 45 (17) | |
|
| 10 (1) | 10 (2) | 0 (0) | |
|
| 66 (8) | 44 (8) | 22 (8) | |
|
| 94 (12) | 57 (11) | 37 (14) | |
|
| 10.0±3.3 | 9.4±3.2 | 11.1±3.3 | <0.0001 |
|
| 9.5±3.0 | 9.0±3.0 | 10.3±2.9 | <0.0001 |
|
| ||||
|
| 0.55±0.96 | 0.42±0.81 | 0.81±1.17 | <0.0001 |
|
| 3.42±0.52 | 3.40±0.52 | 3.45±0.53 | 0.22 |
|
| 2.95±1.51 | 2.77±1.62 | 3.31±1.20 | <0.0001 |
|
| 1.14±1.50 | 0.95±1.40 | 1.51±1.63 | <0.0001 |
|
| 1.51±1.53 | 1.56±1.56 | 1.43±1.47 | 0.46 |
|
| 0.69±0.96 | 0.61±0.91 | 0.83±1.04 | 0.003 |
|
| 6.3±0.8 | 6.3±0.8 | 6.3±0.9 | 0.93 |
|
| 26±5 | 26±5 | 26±5 | 0.19 |
|
| 24±5 | 24±5 | 25±5 | 0.06 |
|
| 10±3 | 10±3 | 10±4 | 0.58 |
|
| 11±5 | 11±4 | 11±7 | 0.52 |
|
| 0.79±0.17 | 0.78±0.17 | 0.79±18 | 0.38 |
|
| 107±31 | 107±31 | 105±32 | 0.35 |
|
| 7.31±0.10 | 7.33±0.09 | 7.28±0.12 | <0.0001 |
|
| 81±22 | 81±21 | 80±22 | 0.74 |
|
| 49±20 | 48±11 | 51±31 | 0.024 |
|
| 2.4±2.9 | 2.2±2.8 | 2.9±3.0 | 0.001 |
|
| 12 [7–23] | 11 [7–20] | 13 [8–35] | 0.001 |
|
| 96 [67–162] | 89 [63–152] | 113 [77–179] | 0.0001 |
Quantitative values are expressed as means ± SD or median [IQR] and qualitative values as numbers (percentage); ICU, intensive care unit; SAPS II, Simplified Acute Physiology Score II; SOFA, Sequential Organ Failure Assessment; ARDS, acute respiratory distress syndrome; PEEP, positive end-expiratory pressure; FiO2, fraction of inspired oxygen; P/F ratio, the ratio of the partial pressure of arterial oxygen to the fraction of inspired oxygen; PaO2, partial pressure of arterial oxygen; PaCO2, partial pressure of arterial carbon dioxide
Fig 1Evolution of serum bilirubin level in survivors and non survivors.
Mean ± SEM. *: p value <0.001 (survivors vs. non-survivors).
Fig 2Probability of survival in ARDS patients according to the bilirubin level at inclusion.
*: p <0.001 (comparisons between each strata of serum bilirubin level, bilirubin < 20 μmol/L was used as the reference curve).
Mortality at Day 90 according to tertiles of PaO2/FiO2 and bilirubin on inclusion.
| Day-90 mortality |
| |||
|---|---|---|---|---|
| 1st tertile | 2nd tertile | 3rd tertile | ||
|
| 36.9% | 32.1% | 32.5% | NS |
|
| 29.8% | 28.7% | 41.5% | 0.002 |
Multivariate Cox regression analysis for factors associated with ARDS mortality at Day 90.
| Hazard Ratio (95% CI) |
| |
|---|---|---|
|
| 1.05 (1.04–1.06) | <0.0001 |
|
| 1.43 (1.28–1.61) | <0.0001 |
|
| 1.06 (0.96–1.18) | 0.24 |
|
| 1.05 (0.97–1.14) | 0.26 |
|
| 1.16 (1.03–1.32) | 0.019 |
|
| 0.06(0.02–0.21) | <0.0001 |
|
| 1.03 (1.00–1.06) | 0.037 |
The HR and 95% CI were calculated using a multivariate Cox proportional hazard model