Main characteristics of the 83 study patients at ICU admission.

<p>Abbreviations: RV, right ventricular; ILD, interstitial lung disease.</p

Diagnostic investigations.

<p><b>*</b>In 16 instances, CT scan was not performed because of severe hypoxemia precluding transportation to the radiological department.</p><p>In 30 instances, results for BAL were not available either because BAL was not performed due to severe hypoxemia or the BAL results were deemed uninterpretable.</p

Acute Respiratory Failure in Critically Ill Patients with Interstitial Lung Disease

<div><p>Background</p><p>Patients with chronic known or unknown interstitial lung disease (ILD) may present with severe respiratory flares that require intensive management. Outcome data in these patients are scarce.</p><p>Patients and Methods</p><p>Clinical and radiological features were collected in 83 patients with ILD-associated acute respiratory failure (ARF). Determinants of hospital mortality and response to corticosteroid therapy were identified by logistic regression.</p><p>Results</p><p>Hospital and 1-year mortality rates were 41% and 54% respectively. Pulmonary hypertension, computed tomography (CT) fibrosis and acute kidney injury were independently associated with mortality (odds ratio (OR) 4.55; 95% confidence interval (95%CI) (1.20–17.33); OR, 7.68; (1.78–33.22) and OR 10.60; (2.25–49.97) respectively). Response to steroids was higher in patients with shorter time from hospital admission to corticosteroid therapy. Patients with fibrosis on CT had lower response to steroids (OR, 0.03; (0.005–0.21)). In mechanically ventilated patients, overdistension induced by high PEEP settings was associated with CT fibrosis and hospital mortality.</p><p>Conclusion</p><p>Mortality is high in ILD-associated ARF. CT and echocardiography are valuable prognostic tools. Prompt corticosteroid therapy may improve survival.</p></div

Severity, ICU management and outcomes.

<p><b>*</b>ARDS was defined using Berlin criteria <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0104897#pone.0104897-Ranieri1" target="_blank">[2]</a>.</p><p>Pulmonary hypertension (right ventricular dysfunction) was assessed by transthoracic echocardiography (excluding left ventricular dysfunction).</p><p>¥ Responsiveness to corticosteroids was defined as an increase in the ratio of arterial oxygen saturation (PaO₂) over fraction of inspired oxygen (FiO₂) ratio to more than 100 mmHg within 1 week of initiating high-dose corticosteroid therapy.</p><p>£ cyclophophamide or rituximab.</p

Determinants of hospital mortality.

<p>Abbreviations : OR, odds ratio; 95%CI, 95% confidence interval; ILD, interstitial lung disease; ECOG, Eastern Cooperative Oncology Group (the performance score can range from 0 [fully active] to 5 [dead]); CT, computed tomography of the chest; SOFA, Sequential Organ Function Assessment score.</p

Univariable and multivariable analyses of factors associated with responsiveness to high-dose corticosteroids.

<p>Abbreviations : OR, odds ratio; 95%CI, 95% confidence interval; ILD, interstitial lung disease; ECOG, Eastern Cooperative Oncology Group (the performance score can range from 0 [fully active] to 5 [dead]); CT, computed tomography of the chest; BAL, broncho-alveolar lavage; SOFA, Sequential Organ Function Assessment score.</p

Effect of positive end-expiratory pressure (PEEP) titration in patients managed with invasive mechanical ventilation (n = 50).

<p>Right column: correlations linking variations in peak airway pressure (ΔPpeak), plateau pressure (ΔPplat), and PaO₂/FiO₂ (ΔPF) before and after PEEP titration to ICU mortality. Left column: correlations linking variations in peak airway pressure (ΔPpeak), plateau pressure (ΔPplat), and PaO₂/FiO₂ (ΔPF) before and after PEEP titration to pulmonary fibrosis by computed tomography.</p

Additional file 1 of Clinical Warburg effect in lymphoma patients admitted to intensive care unit

Additional file 1: Figure S1. Blood glucose levels at admission according to the Clinical Warburg group. Figure S2. Death at 12 months mortality proportions distribution according to the Clinical Warburg group4. Figure S3. Bootstrap sensitivity analysis of the Hazard ratio estimation according to the Clinical Warburg status4. Figure S4. Distribution balance of propensity score5. Figure S5. Kaplan–Meier survival estimates according to the Warburg group after propensity weighting5. Table S1. Baseline characteristics and outcomes of patients excluded due to the absence of serum lactate measurement6. Table S2. Documented localization of the hemopathya7. Table S3. Covariates associated with death at 12 months by unadjusted Cox survival analysis8. Table S4. Covariates associated with death at 12 months by Cox survival analysis (Model 2)9. Table S5. Average Treatment effect on the Treated (ATO) and Odds Ratio (OR) after overlap propensity score 10

MOESM1 of In-hospital and day-120 survival of critically ill solid cancer patients after discharge of the intensive care units: results of a retrospective multicenter study—A Groupe de recherche respiratoire en réanimation en Onco–Hématologie (Grrr-OH) study

Additional file 1: Fig. S1. Four-months survival, after ICU discharge, of the 1053 patients included in the study

MOESM3 of In-hospital and day-120 survival of critically ill solid cancer patients after discharge of the intensive care units: results of a retrospective multicenter study—A Groupe de recherche respiratoire en réanimation en Onco–Hématologie (Grrr-OH) study

Additional file 3: Fig. S3. Overall model area under ROC curve of Oncoscore in predicting day-120 outcome after ICU discharge (AUC ROC Curve = 0.74 [95% CI 0.71–0.77])