| Literature DB >> 34073487 |
Li-Chung Chiu1,2,3, Li-Pang Chuang1, Shaw-Woei Leu1, Yu-Jr Lin4, Chee-Jen Chang4,5, Hsin-Hsien Li6,7, Feng-Chun Tsai8, Chih-Hao Chang1,3, Chen-Yiu Hung1,3, Shih-Wei Lin1, Han-Chung Hu1,6,9, Chung-Chi Huang1,6,9, Huang-Pin Wu10, Kuo-Chin Kao1,6,9.
Abstract
The high mortality rate of patients with severe acute respiratory distress syndrome (ARDS) warrants aggressive clinical intervention. Extracorporeal membrane oxygenation (ECMO) is a salvage therapy for life-threatening hypoxemia. Randomized controlled trials of ECMO for severe ARDS comprise a number of ethical and methodological issues. Therefore, indications and optimal timing for implementation of ECMO, and predictive risk factors for outcomes have not been adequately investigated. We performed propensity score matching to match ECMO-supported and non-ECMO-supported patients at 48 h after ARDS onset for comparisons based on clinical outcomes and hospital mortality. A total of 280 severe ARDS patients were included, and propensity score matching of 87 matched pairs revealed that the 90-d hospital mortality rate was 56.3% in the ECMO group and 74.7% in the non-ECMO group (p = 0.028). Subgroup analysis revealed that greater severity of ARDS, higher airway pressure, or a higher Sequential Organ Failure Assessment score tended to benefit from ECMO treatment in terms of survival. Multivariate logistic regression revealed that hospital mortality was significantly lower among patients who received ECMO than among those who did not. Our findings suggested that early initiation of ECMO (within 48 h) may increase the likelihood of survival for patients with severe ARDS.Entities:
Keywords: acute respiratory distress syndrome; extracorporeal membrane oxygenation; mortality; propensity score matching analysis
Year: 2021 PMID: 34073487 PMCID: PMC8227965 DOI: 10.3390/membranes11060393
Source DB: PubMed Journal: Membranes (Basel) ISSN: 2077-0375
Figure 1Flow diagram showing the enrollment of patients with severe ARDS who were or were not administered ECMO support via propensity score matching. (ARDS, acute respiratory distress syndrome; ECMO, extracorporeal membrane oxygenation).
Background characteristics of severe ARDS patients with or without ECMO before and after matching.
| Variables | Before Matching | After Matching | ||||
|---|---|---|---|---|---|---|
| ECMO | Non-ECMO | ECMO | Non-ECMO | |||
| ( | ( |
| ( | ( |
| |
| Age (years) | 50.3 ± 16.3 | 65.1 ± 14.1 | <0.001 | 58.3 ± 13.2 | 61.9 ± 14.3 | 0.082 |
| Gender (male) | 108 (68.4%) | 79 (64.8%) | 0.526 | 58 (66.7%) | 60 (69%) | 0.746 |
| Body mass index (kg/m2) | 25.8 ± 5.2 | 23.7 ± 4.4 | 0.001 | 24.8 ± 4.0 | 24.2 ± 4.6 | 0.323 |
| ARDS etiologies | ||||||
| Pulmonary cause | 121 (76.6%) | 95 (77.9%) | 0.799 | 66 (75.9%) | 69 (79.3%) | 0.585 |
| Extrapulmonary cause | 37 (23.4%) | 27 (22.1%) | 0.799 | 21 (24.1%) | 18 (20.7%) | 0.585 |
| Comorbidities | ||||||
| Diabetes mellitus | 40 (25.3%) | 33 (27%) | 0.743 | 29 (33.3%) | 19 (21.8%) | 0.09 |
| Cerebrovascular accident | 10 (6.3%) | 12 (9.8%) | 0.280 | 9 (10.3%) | 4 (4.6%) | 0.248 |
| Congestive heart failure | 13 (8.2%) | 5 (4.1%) | 0.162 | 9 (10.3%) | 3 (3.4%) | 0.132 |
| Coronary artery disease | 6 (3.8%) | 6 (4.9%) | 0.646 | 6 (6.9%) | 4 (4.6%) | 0.747 |
| Chronic lung disease | 16 (10.1%) | 16 (13.1%) | 0.436 | 7 (8%) | 14 (16.1%) | 0.103 |
| Liver cirrhosis or chronic hepatitis | 22 (13.9%) | 21 (17.2%) | 0.449 | 16 (18.4%) | 17 (19.5%) | 0.847 |
| Chronic kidney disease | 18 (11.4%) | 14 (11.5%) | 0.983 | 14 (16.1%) | 9 (10.3%) | 0.263 |
| Malignancies | 24 (15.2%) | 20 (16.4%) | 0.784 | 16 (18.4%) | 15 (17.2%) | 0.843 |
| SOFA score | 10.9 ± 3.2 | 12.2 ± 3.5 | 0.001 | 11.4 ± 3.2 | 11.8 ± 3.5 | 0.417 |
| Lung injury score | 3.4 ± 0.4 | 3.4 ± 0.4 | 0.225 | 3.4 ± 0.4 | 3.4 ± 0.4 | 0.482 |
| ARDS duration before ECMO (h) | 28 (7–129) | 40 (8–153) | ||||
| PaO2/FiO2 (mm Hg) | 81.1 ± 50.4 | 78.7 ± 17.8 | 0.576 | 80.4 ± 45.7 | 79.2 ± 18.8 | 0.809 |
| PaCO2 (mm Hg) | 52.2 ± 18.8 | 52.8 ± 19.0 | 0.803 | 50.6 ± 17.9 | 53.9 ± 20.4 | 0.258 |
| Ventilator settings | ||||||
| Tidal volume (ml/kg PBW) | 7.7 ± 2.4 | 8.2 ± 2.4 | 0.098 | 8.2 ± 2.6 | 8.1 ± 2.4 | 0.795 |
| PEEP (cm H2O) | 12.0 ± 2.8 | 12.5 ± 2.6 | 0.123 | 12 ± 2.6 | 12. 3 ± 2.6 | 0.428 |
| Peak inspiratory pressure (cm H2O) | 33.9 ± 6.5 | 32.8 ± 5.9 | 0.130 | 33.1 ± 5.8 | 33.3 ± 5.4 | 0.861 |
| Dynamic driving pressure (cm H2O) | 21.9 ± 6.2 | 20.3 ± 5.5 | 0.022 | 21.0 ± 6.1 | 20.9 ± 5.0 | 0.935 |
| Dynamic compliance (ml/cm H2O) | 22.5 ± 11.2 | 25.6 ± 16.6 | 0.072 | 24.1 ± 12.7 | 23.8 ± 9.8 | 0.828 |
| Total respiratory rate (breaths/min) | 24.2 ± 7.1 | 25.2 ± 4.7 | 0.142 | 24.2 ± 6.6 | 25.3 ± 4.8 | 0.207 |
| Minute ventilation (L/min) | 10.6 ± 3.8 | 10.7 ± 3.2 | 0.858 | 10.8 ± 4.0 | 10.8 ± 3.0 | 1.000 |
| Mechanical power (J/min) | 23.7 ± 9.6 | 23.6 ± 7.7 | 0.910 | 23.8 ± 10.0 | 23.9 ± 7.0 | 0.946 |
| MP/PBW (×10−3 J/min/kg) | 415 ± 172 | 437 ± 170 | 0.297 | 430 ± 188 | 433 ± 152 | 0.889 |
| MP/Compliance (J/min/mL/cm H2O) | 1.27 ± 0.76 | 1.12 ± 0.54 | 0.065 | 1.18 ± 0.66 | 1.15 ± 0.51 | 0.751 |
| Duration of mechanical ventilator (days) | 20 (11.5–38) | 14 (8–28.3) | 0.001 | 20 (12–35.9) | 16 (8–30) | 0.019 |
| Length of ICU stay (days) | 23 (13–43) | 16 (8–30) | 0.003 | 23 (15–43) | 17 (10–31) | 0.031 |
| Length of hospital stay (days) | 38.5 (20.8–64) | 29.5 (15–51.3) | 0.017 | 37 (20–68) | 30 (14–52) | 0.035 |
| Hospital mortality, | 87 (55.1%) | 97 (79.5%) | <0.001 | 52 (59.8%) | 67 (77%) | 0.014 |
Data is presented as mean ± standard deviation, count or median (interquartile range). Abbreviations: ARDS, acute respiratory distress syndrome; ECMO, extracorporeal membrane oxygenation; FiO2, fraction of inspired oxygen; ICU, intensive care unit; MP, mechanical power; PaCO2, partial pressure of carbon dioxide in arterial blood; PaO2, partial pressure of oxygen in arterial blood; PBW, predicted body weight; PEEP, positive end-expiratory pressure; SOFA, Sequential Organ Failure Assessment.
Figure 2Kaplan-Meier 90-d survival curves of patients who did or did not receive ECMO support for severe acute respiratory distress syndrome: (a) before propensity score matching; (b) after propensity score matching. (ECMO, extracorporeal membrane oxygenation).
Clinical outcomes of severe ARDS patients with or without ECMO after matching.
| Outcomes | ECMO | Non-ECMO |
|
|---|---|---|---|
| ( | ( | ||
| Mortality | |||
| 28 day hospital mortality, | 40 (46%) | 46 (52.9%) | 0.371 |
| 60 day hospital mortality, | 47 (54%) | 64 (73.6%) | 0.025 |
| 90 day hospital mortality, | 49 (56.3%) | 65 (74.7%) | 0.028 |
| Other outcomes | |||
| Ventilator-free days on day 28 | 2.8 ± 6.1 | 2.8 ± 6.0 | 0.974 |
| Ventilator-free days on day 60 | 12.8 ± 19.1 | 9.4 ± 17.5 | 0.218 |
| Ventilator-free days on day 90 | 23.9 ± 32.6 | 16.4 ± 29.8 | 0.114 |
| ICU-free days on day 90 | 21.8 ± 29.4 | 13.3 ± 26.4 | 0.046 |
| Hospital-free days on day 90 | 12.9 ± 21.7 | 9.3 ± 20.1 | 0.266 |
Data are presented as mean ± standard deviation, count or median (interquartile range). Abbreviations: ARDS, acute respiratory distress syndrome; ECMO, extracorporeal membrane oxygenation; ICU, intensive care unit.
Figure 3Subgroup analysis of hospital mortality as a function of baseline clinical variables. (BMI, body mass index; CI, confidence interval; ECMO, extracorporeal membrane oxygenation; FiO2, fraction of inspired oxygen; OR, odds ratio; PaO2, partial pressure of oxygen in arterial blood; PEEP, positive end-expiratory pressure; SOFA, sequential organ failure assessment).
Multivariate logistic regression analysis with hospital mortality as outcome.
| Factors | Odds Ratio (95% CI) |
|
|---|---|---|
| ECMO | 0.40 (0.19–0.81) | 0.013 |
| SOFA score | 1.25 (1.11–1.43) | <0.001 |
| Dynamic driving pressure | 1.18 (1.02–1.39) | 0.038 |
Abbreviation: CI, confidence interval; ECMO, extracorporeal membrane oxygenation; SOFA, Sequential Organ Failure Assessment. The multivariate analysis model included ECMO, age, body mass index, SOFA, lung injury score, PaO2/FiO2, positive end-expiratory pressure, peak inspiratory pressure, dynamic driving pressure, dynamic compliance, and mechanical power.