| Literature DB >> 28386264 |
Jorge Armando Carrizosa1, Jorge Aponte2, Diego Cartagena2, Ricard Cervera3, Maria Teresa Ospina4, Alexander Sanchez4.
Abstract
Patients with autoimmune diseases (ADs) are a challenge for the intensivist; it is hard to differentiate among infection, disease activity, and combinations of both, leading to high mortality. This study is a retrospective analysis of 124 critically ill patients admitted to the intensive care unit (ICU) in a university hospital between 2008 and 2016. Bivariate case-control analysis was performed, using patients who died as cases; later, analysis using a logistic regression model with variables that were associated with mortality was conducted. Four variables were consistently associated with mortality in the logistic regression model and had adequate prediction value (Hosmer and Lemeshow statistic = 0.760; Nagelkerke R-squared = 0.494). The risk of death was found to be statistically associated with the following: shock at admission to ICU [odds ratio (OR): 7.56; 95% confidence interval (CI): 1.78-31.97, p = 0.006], hemoglobin level <8 g/dL (OR: 16.12; 95% CI: 3.35-77.52, p = 0.001), use of cytostatic agents prior to admission to the ICU (OR: 8.71; 95% CI: 1.23-61.5, p = 0.03), and low levels ofcomplement C3 (OR: 5.23; 95% CI: 1.28-21.35, p = 0.02). These variables can guide clinicians in the early identification of patients with AD with increased risk of death during hospitalization, leading to initial therapies seeking to improve survival. These results should be evaluated prospectively in future studies to establish their predictive power.Entities:
Keywords: Colombia; autoimmune diseases; critical care; epidemiological studies; mortality
Year: 2017 PMID: 28386264 PMCID: PMC5362627 DOI: 10.3389/fimmu.2017.00337
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 7.561
Characteristics of patients with AD differentiated by autoimmune condition, severity of illness, and organ injury.
| Variable | SLE | APS | RA | GBS | Vasculitis | Pemphigus | Other ADs |
|---|---|---|---|---|---|---|---|
| 60 | 4 | 10 | 14 | 15 | 4 | 17 | |
| Female gender (%) | 73.3 | 75 | 80 | 35.7 | 47.7 | 25 | 82.4 |
| Prior use of steroids (%) | 75 | 0 | 80 | 0 | 33 | 100 | 65 |
| Prior use of cyclophosphamide (%) | 18.3 | 0 | 20 | 0 | 26.7 | 0 | 0 |
| ICU IVIG (%) | 45 | 0 | 10 | 100 | 46.7 | 50 | 35.3 |
| ICU plasmapheresis (%) | 1.7 | 0 | 0 | 14.3 | 13.3 | 0 | 5.9 |
| Flare of AD (%) | 33.3 | 25 | 20 | 100 | 26.7 | 25 | 11.8 |
| Infection (%) | 48.3 | 50 | 30 | 50 | 40 | 100 | 47.1 |
| Flare + infection (%) | 23.3 | 25 | 10 | 21.4 | 6.7 | 25 | 11.8 |
| APACHE II score ≥8 (%) | 86.7 | 75 | 90 | 71.4 | 93.3 | 100 | 64.7 |
| SLEDAI–SELENA score ≥12 (%) | 26.7 | N/A | N/A | N/A | N/A | N/A | N/A |
| Shock at ICU admission (%) | 56.7 | 75 | 80 | 28.6 | 53.3 | 25 | 41.2 |
| Acute heart failure (%) | 28.3 | 25 | 0 | 7.1 | 26.7 | 25 | 11.8 |
| Hypoxemia (%) | 40 | 50 | 42.9 | 33.3 | 50 | 50 | 33.3 |
| Alveolar hemorrhage (%) | 16.7 | 0 | 0 | 0 | 40 | 0 | 11.8 |
| Pleural effusion (%) | 31.7 | 25 | 10 | 7.1 | 6.7 | 25 | 5.9 |
| Mechanical ventilation (%) | 77.6 | 75 | 80 | 76.9 | 80 | 50 | 64.7 |
| Mesenteric ischemia (%) | 8.3 | 50 | 0 | 0 | 20 | 0 | 0 |
| Convulsion (%) | 10 | 0 | 0 | 0 | 13.3 | 25 | 5.9 |
| Vasculitis CNS (%) | 16.7 | 25 | 0 | 0 | 13.3 | 0 | 5.9 |
| PNS involvement (%) | 3.3 | 0 | 10 | 100 | 6.7 | 0 | 5.9 |
| Nephritis (%) | 16.7 | 0 | 0 | 0 | 26.7 | 25 | 11.8 |
| Dialysis (%) | 43.4 | 25 | 10 | 0 | 33.3 | 25 | 0 |
| ICU mortality | 40 | 50 | 40 | 35.7 | 40 | 50 | 29.4 |
SLE, systemic lupus erythematosus; APS, antiphospholipid syndrome; RA, rheumatoid arthritis; GBS, Guillaìn–Barré syndrome; AD, autoimmune disease; ICU, intensive care unit; IVIG, intravenous immunoglobulin; CNS, central nervous system; PNS, peripheral nervous system.
Bivariate analysis and correlation with mortality in patients with AD.
| Variable | Pearson’s correlation | |
|---|---|---|
| Use of cytostatic agents before ICU admission | 0.202 | 0.026 |
| Hemoglobin level ≤8 g/dL | 0.256 | 0.005 |
| Pleural effusion | 0.196 | 0.031 |
| Low level of complement C3 (<80 mg/dL) | 0.292 | 0.006 |
| Low level of complement C4 (<12 mg/dL) | 0.230 | 0.037 |
| APACHE II score ≥20 | 0.248 | 0.035 |
| Shock at ICU admission | 0.405 | 0.000 |
| Serum procalcitonin >10 ng/mL | 0.305 | 0.001 |
| Change in chronic immunosuppressive drugs | 0.260 | 0.005 |
| Acidosis (pH ≤7.25) | 0.218 | 0.030 |
| Positive antiphospholipid antibodies | 0.409 | 0.005 |
| Acute heart failure | 0.182 | 0.049 |
| Respiratory failure | 0.306 | 0.001 |
Bivariate analysis was performed, for evaluating the correlation between the outcome “mortality” and all the variables after dichotomization; only statistically significant results are shown.
.
.
Logistic regression analysis for subgroup systemic lupus erythematosus for the outcome “ICU mortality”.
| Variable | Odds ratio (OR) | 95% CI (OR) | ||
|---|---|---|---|---|
| Inferior | Superior | |||
| Gender | 2.500 | 0.697 | 8.971 | 0.16 |
| SLEDAI score ≥12 | 3.643 | 0.938 | 14.153 | 0.062 |
| Prior use of cytostatic agents | 3.294 | 0.844 | 12.861 | 0.086 |
| Prior use of steroids | 1.462 | 0.429 | 4.979 | 0.544 |
| Prior use of cyclophosphamide | 2.067 | 0.551 | 7.747 | 0.282 |
| ICU IVIG | 6.314 | 2.013 | 19.804 | 0.002* |
| Hemoglobin ≤8 g/dL | 3.000 | 0.999 | 9.010 | 0.05 |
| Low level of complement C3 | 2.400 | 0.806 | 7.144 | 0.116 |
| Low level of complement C4 | 3.693 | 1.192 | 11.441 | 0.024* |
| Infection | 2.641 | 0.693 | 10.069 | 0.155 |
| Flare + infection | 1.167 | 0.347 | 3.924 | 0.803 |
| APACHE II score ≥8 | 5.552 | 0.637 | 48.409 | 0.121 |
| APACHE II score ≥20 | 3.575 | 0.872 | 14.649 | 0.077 |
| Shock at ICU admission | 3.200 | 0.966 | 10.603 | 0.054 |
| Acute heart failure | 1.500 | 0.482 | 4.669 | 0.484 |
| Alveolar hemorrhage | 4.529 | 0.038 | 19.771 | 0.045* |
| Nephritis | 1.560 | 0.518 | 4.697 | 0.429 |
| Dialysis | 1.571 | 0.553 | 4.462 | 0.396 |
| Procalcitonin level ≥10 ng/mL | 3.000 | 0.899 | 10.007 | 0.074 |
| Mechanical ventilation | 11.478 | 1.375 | 95.826 | 0.024* |
Variables with statistical association are marked with symbol *.
Logistic regression analysis for predictors of in-hospital mortality.
| Variables | Odds ratio | 95% confidence interval | Superior | |
|---|---|---|---|---|
| Inferior | ||||
| Hemoglobin level ≤8 g/dL | 16.1 | 3.4 | 77.5 | 0.001 |
| Use of cytostatic agents prior to ICU admission | 8.7 | 1.2 | 61.5 | 0.030 |
| Shock at ICU admission | 7.6 | 1.8 | 32.0 | 0.006 |
| Low level ofcomplement C3 (<80 mg/dL) | 5.2 | 1.3 | 21.4 | 0.021 |
To evaluate the goodness of fit of the results in the bivariate analysis, a logistic regression was performed with multiple models, considering an adequate SE, as well as association with mortality, to discard potential confounding factors; the four variables with better performance are shown.
.
Hosmer and Lemeshow goodness of fit: 0.760 (chi-square: 3.378; degrees of freedom: 6).