| Literature DB >> 31533846 |
Willem Pieter Brouwer1,2, Servet Duran3, Martijn Kuijper4, Can Ince5.
Abstract
BACKGROUND AND AIMS: Innovative treatment modalities have not yet shown a clinical benefit in patients with septic shock. To reduce severe cytokinaemia, CytoSorb as an add-on to continuous renal replacement therapy (CRRT) showed promising results in case reports. However, there are no clinical trials investigating outcomes.Entities:
Keywords: Cytosorb; Cytosorbent; Hemofiltration; Mortality; Outcome; Sepsis; Septic shock; Treatment
Mesh:
Substances:
Year: 2019 PMID: 31533846 PMCID: PMC6749645 DOI: 10.1186/s13054-019-2588-1
Source DB: PubMed Journal: Crit Care ISSN: 1364-8535 Impact factor: 9.097
Fig. 1Patient and analysis flowchart
Patient characteristics (at ICU admission and at the start of CytoSorb or CRRT)
| Characteristics | CytoSorb ( | CRRT only ( | Unadjusted | sIPTW-adjusted |
|---|---|---|---|---|
| Demography | ||||
| Age, years (Mean, SD) | 61.1 (14.7) | 68.7 (9.6) | 0.001 | 0.126 |
| Male, | 37 (55%) | 30 (61%) | 0.522 | 0.021 |
| Comorbidity, | ||||
| Any comorbidity | 43 (64%) | 42 (88%) | 0.002 | 0.601 |
| Diabetes mellitus type 2 | 14 (21%) | 20 (41%) | 0.024 | 0.778 |
| Hypertension | 23 (34%) | 26 (53%) | 0.046 | 0.409 |
| Coronary heart disease | 9 (13%) | 8 (16%) | 0.667 | 0.064 |
| Heart failure (systolic/diastolic) | 4 (6%) | 10 (20%) | 0.030 | 0.501 |
| Prior chronic kidney disease | 8 (12%) | 18 (37%) | 0.003 | 0.002 |
| Peripheral artery disease | 10 (15%) | 8 (16%) | 0.839 | 0.021 |
| Cerebrovascular accident | 6 (9%) | 3 (6%) | 0.577 | 0.369 |
| COPD | 8 (12%) | 10 (20%) | 0.233 | 0.002 |
| Primary diagnosis, | ||||
| Abdominal sepsis | 31 (46%) | 12 (25%) | 0.014 | 0.870 |
| Pneumosepsis | 14 (21%) | 21 (43%) | 0.014 | 0.275 |
| Urosepsis | 2 (3%) | 6 (12%) | 0.078 | 0.217 |
| Cutaneous/arthritis | 9 (13%) | 3 (6%) | 0.182 | 0.064 |
| Vascular sepsis | 5 (8%) | 0 | 0.024 | 0.026 |
| Cerebral sepsis | 0 | 1 (2%) | 0.322 | 0.475 |
| Sepsis (unknown cause) | 6 (9%) | 6 (12%) | 0.569 | 0.755 |
| Admission | ||||
| Surgical (otherwise medical) | 27 (40%) | 6 (12%) | < 0.001 | 0.994 |
| Days on ICU | 9 (2–19) | 9 (3–13) | 0.783 | 0.463 |
| Hemodynamics (Mean, SD) | ||||
| Lactate at admission | 6.4 (5.1) | 4.4 (4.4) | 0.027 | 0.421 |
| Lactate at the start of therapy | 6.9 (5.6) | 2.9 (3.1) | < 0.001 | 0.544 |
| Noradrenaline (μg/kg/min) adm. | 0.48 (0.55) | 0.29 (0.40) | 0.052 | 0.073 |
| Noradrenaline (μg/kg/min) Rx | 0.96 (0.73) | 0.28 (0.36) | < 0.001 | 0.769 |
| Total duration noradrenaline (days) | 3 (1–5) | 3 (1–5) | 0.979 | 0.222 |
| Duration noradrenaline from Rx (days) | 2 (1–3) | 1 (0–2) | 0.694 | 0.989 |
| MAP at admission | 73 (19) | 74 (20) | 0.748 | 0.418 |
| MAP at the start of therapy | 69 (15) | 77 (18) | 0.007 | 0.019 |
| Prognostic scores | ||||
| SOFA ICU admission | 11.7 (3.3) | 11.8 (3.5) | 0.907 | 0.854 |
| SOFA at the start of treatment | 13.8 (2.8) | 12.8 (3.2) | 0.067 | 0.239 |
Fig. 2a Observed versus predicted mortality rate according to the SOFA score for CytoSorb- and CRRT-treated patients. b CytoSorb is associated with a reduced 28-day mortality in sIPTW analysis
Regression analysis for mortality at 28 days for CytoSorb-treated patients
| Variables | Univariable | Full multivariable model (forced) | Final multivariable model (bstep LR) | |||
|---|---|---|---|---|---|---|
| OR (95% CI) |
| OR (95% CI) |
| OR (95% CI) |
| |
|
|
|
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|
|
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| Female gender | 1.50 (0.6–4.0) | 0.412 | – | – | ||
| Body mass index | 0.96 (0.9–1.0) | 0.260 | – | – | ||
| SOFA admission | 1.20 (1.0–1.4) | 0.041 | – | – | ||
|
|
|
| 1.10 (0.8–1.4) | 0.505 | – | |
| MAP admission | 0.99 (0.9–1.0) | 0.460 | – | – | ||
|
|
|
| 0.99 (1.0–1.03) | 0.739 | – | |
| Lactate admission | 1.07 (0.9–1.2) | 0.180 | – | – | ||
|
|
|
|
|
|
|
|
| Noradrenaline admission | 2.25 (0.8–6.0) | 0.106 | – | – | ||
|
|
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| 0.98 (0.3–2.8) | 0.973 | – | |
| Noradrenaline duration | 1.02 (0.9–1.2) | 0.731 | – | – | ||
| Admission ICU to treatment | 0.88 (0.7–1.1) | 0.216 | – | – | ||
| Admission hospital to treatment | 0.98 (0.9–1.1) | 0.675 | – | – | ||
|
|
|
| 0.43 (0.1–1.6) | 0.206 | – | |
| Type of sepsis: | – | – | – | |||
| |
|
| 2.83 (0.5–16.9) | 0.254 |
|
|
| Abdominal sepsis | 0.51 (0.2–1.3) | 0.171 | – | – | ||
| Cutaneous sepsis | 0.27 (0.1–1.4) | 0.117 | – | – | ||
| Vascular sepsis | 4.86 (0.5–46.0) | 0.168 | – | – | ||
| Sepsis unknown cause | 2.36 (0.4–13.8) | 0.343 | – | – | ||
| History of: | – | – | – | |||
| Diabetes mellitus | 1.61 (0.5–5.3) | 0.432 | – | – | ||
| Hypertension | 1.31 (0.5–3.6) | 0.601 | – | – | ||
| COPD | 1.97 (0.4–9.0) | 0.380 | ||||
| Coronary artery disease | 0.86 (0.2–3.5) | 0.831 | – | – | ||
| Heart failure | NA | 0.999 | ||||
| Chronic kidney disease | 1.98 (0.4–9.0) | 0.380 | – | – | ||
| Hemodialysis/peritoneal | 1.10 (0.1–18.3) | 0.949 | – | – | ||
| CVA | 1.10 (0.2–5.9) | 0.908 | – | – | ||
| Peripheral artery disease | 2.99 (0.7–12.7) | 0.139 | – | – |
MAP mean arterial pressure, ICU intensive care unit, COPD chronic obstructive pulmonary disease, CVA cerebrovascular accident
Statistically significant data are italicized