Literature DB >> 32449053

Use, timing and factors associated with tracheal intubation in septic shock: a prospective multicentric observational study.

C Darreau1, F Martino2, M Saint-Martin1, S Jacquier3, J F Hamel4, M A Nay5, N Terzi6, G Ledoux7, F Roche-Campo8, L Camous9, F Pene10, T Balzer11, F Bagate12, J Lorber13, P Bouju14, C Marois15, R Robert16, S Gaudry17, M Commereuc18, M Debarre19, N Chudeau1, P Labroca20, K Merouani21, P Y Egreteau22, V Peigne23, C Bornstain24, E Lebas25, F Benezit26, S Vally27, S Lasocki28, A Robert29, A Delbove30, N Lerolle31.   

Abstract

BACKGROUND: No recommendation exists about the timing and setting for tracheal intubation and mechanical ventilation in septic shock. PATIENTS AND METHODS: This prospective multicenter observational study was conducted in 30 ICUs in France and Spain. All consecutive patients presenting with septic shock were eligible. The use of tracheal intubation was described across the participating ICUs. A multivariate analysis was performed to identify parameters associated with early intubation (before H8 following vasopressor onset).
RESULTS: Eight hundred and fifty-nine patients were enrolled. Two hundred and nine patients were intubated early (24%, range 4.5-47%), across the 18 centers with at least 20 patients included. The cumulative intubation rate during the ICU stay was 324/859 (38%, range 14-65%). In the multivariate analysis, seven parameters were significantly associated with early intubation and ranked as follows by decreasing weight: Glasgow score, center effect, use of accessory respiratory muscles, lactate level, vasopressor dose, pH and inability to clear tracheal secretions. Global R-square of the model was only 60% indicating that 40% of the variability of the intubation process was related to other parameters than those entered in this analysis.
CONCLUSION: Neurological, respiratory and hemodynamic parameters only partially explained the use of tracheal intubation in septic shock patients. Center effect was important. Finally, a vast part of the variability of intubation remained unexplained by patient characteristics. Trial registration Clinical trials NCT02780466, registered on May 23, 2016. https://clinicaltrials.gov/ct2/show/NCT02780466?term=intubatic&draw=2&rank=1.

Entities:  

Keywords:  Mechanical ventilation; Septic shock; Tracheal intubation

Year:  2020        PMID: 32449053      PMCID: PMC7245631          DOI: 10.1186/s13613-020-00668-6

Source DB:  PubMed          Journal:  Ann Intensive Care        ISSN: 2110-5820            Impact factor:   6.925


Background

Several international guidelines such as the Surviving Sepsis Campaign help physicians to manage septic shock patient [1]. However, these guidelines do not indicate the place for tracheal intubation and initiation of mechanical ventilation. Several arguments have been put forward in favor of early ventilatory support in septic shock patients, as part of the bundle that should be introduced in the first hours of care together with antibiotic, fluid, and vasopressor use. Reducing work of breathing and oxygen consumption to maintain adequate tissue oxygenation, preventing diaphragmatic dysfunction and self-inflicted lung injury are expected benefits of invasive ventilation [2, 3]. Several studies have shown that diaphragmatic dysfunction may occur as early as in the first 4 h of septic shock [4, 5]. On the other hand, arguments to challenge a systematic use of ventilatory support in septic shock include immediate complications of tracheal intubation (including hemodynamic impairment) as well as potential side effects related to ventilation (ventilator-induced diaphragm dysfunction, muscle atrophy, ventilation-induced lung injuries, and ventilator-associated pneumonia) [6-8]. In recent multicenter trials on septic shock patients, the percentage of patients who received invasive ventilation ranged widely from 40 to 80% [9, 10]. In a declarative international survey, 86% of clinicians declared that the decision to initiate invasive ventilation was based on “common sense” or “human physiological data” [11]. Agreement between responders regarding hemodynamic parameters to initiate mechanical ventilation was low, contrary to neurologic and respiratory criteria. In acute neurologic and respiratory failures, indications for intubation and mechanical ventilation are generally well-accepted across studies, based on reliable quantitative parameters (respiratory rate, use of accessory respiratory muscles, PaO2/FiO2 ratio, and Glasgow coma score) [12-16]. How physicians apply these criteria in septic shock patients and whether other parameters, in particular hemodynamic, are involved is unknown. To assess use, timing and factors associated with tracheal intubation in septic shock patients, we conducted a multicenter observational prospective study in 30 intensive care units (ICUs) in France and Spain. Our hypothesis was that in the absence of specific recommendations in the sepsis care bundle, use and timing of tracheal intubation might vary greatly between patients.

Methods

The INTUBATIC study was a prospective, multicenter observational study conducted in 30 ICUs (29 in France and one in Spain) in both academic and non-academic hospitals. The primary endpoint was to assess rate of intubation, early and late, and factors associated with intubation practice in septic shock patients. The secondary endpoint was to assess mortality according to intubation. We considered a time window of 8 h following vasopressor onset to define early intubation, from the results of our previous study [17]. Two approaches were used to assess the parameters associated with early intubation. First, criteria for standard indications for early tracheal intubation were defined a priori, based on accepted recommendations for invasive ventilation initiation in neurologic or respiratory failure. Frequency of early intubation and patient characteristics were described among those with such criteria [12-16]. Second, a multivariate analysis entering a wide array of parameters was performed to assess the link between these parameters and early intubation among all patients. An evaluation of the goodness-of-fit of the model was performed to determine the amount of early intubation variability explained by the different covariates. The inclusion period ran from May 2016 to October 2017. ICUs were involved gradually and had 12-months to include patients. The protocol allowed for a maximum of 60 patients enrolled per center. Physicians participating in the study were aware of its main objective, but were instructed to perform patient’s care as they usually did, and no specific hypothesis was put forward regarding optimal management of these patients. Patients, or a proxy if the patient was deemed unable to consent, received oral and written information about the study, and oral consent was obtained before inclusion. When a proxy gave the initial consent, the patient’s consent was further obtained whenever possible. This study was approved by the Angers University Hospital Ethics committee (n° 2015/96).

Patients

Patients aged 18 years and above were eligible if admitted in a participating ICU for septic shock, defined by a documented or clinical suspicion of infection and hypotension requiring vasopressor infusion despite adequate fluid loading. Patients could be included if a vasopressor was introduced in the 24 h preceding ICU admission, i.e., in another hospital or the emergency room. Patients were not eligible if vasopressor infusion was started after tracheal intubation and mechanical ventilation (non-invasive ventilation through facial mask did not prevent inclusion). Incapacitated adults, pregnant women, patients with a decision of withdrawal or withholding of care before ICU admission, patients without social health insurance and patients who refused to participate in the study were not included.

Measurements

Age, sex, and main comorbidities were noted. SAPS II and SOFA score were calculated 24 h after ICU admission [18, 19]. Infection site, causal pathogen(s), and nosocomial or community-acquired subset of infection were registered. Hemodynamic, respiratory, and neurological parameters were recorded between the time of vasopressor onset (H0) and H8: oxygen administration device and PaO2/FiO2 ratio (see Additional file 1: Table S1 for FiO2 determination), respiratory rate, accessory inspiratory muscle use, paradoxical abdominal breathing, inability to cough or to clear tracheal secretions, vasopressor infusion rate (norepinephrine or epinephrine in all centers), arterial lactate concentration, serum creatinine level, urine output, and Glasgow coma score. In patients not intubated by H8, the worst values of acute neurological and respiratory severity parameters over this period were registered. In patients intubated before H8, the worst parameters between H0 and intubation were registered. Fluid loading from the first hypotension to H0 was noted. Durations of ICU stay, hospital stay, vasopressor infusion, mechanical ventilation, and renal replacement therapy were registered. ICU, hospital and 28-day mortality were recorded.

Standard criteria for theoretical immediate intubation

Criteria qualifying for theoretical immediate tracheal intubation during the H0–H8 time window were either (independently of intubation being performed or not): Neurological failure: Glasgow coma scale < 10. Respiratory failure, two criteria among these had to be present: oxygen saturation less than 90% during more than 5 min despite optimized oxygen administration, respiratory rate more than 35 per minute, significant accessory respiratory muscle use, respiratory acidosis defined by pH < 7.35 and pCO2 > 45 mmHg, hypoxemia with PaO2/FiO2 ratio inferior to 150, and inability to cough or clear tracheal secretions. These criteria are generally associated with strong recommendations for immediate tracheal intubation in case of neurological or respiratory failure [12-16].

Statistical analyses

We sought to include more than 800 patients, estimating an early intubation rate ranging from 20 to 40%. This allowed for the selection of 20 to 25 covariates to be included in a multivariable model for explaining early intubation [20]. Continuous data were summarized as the mean and standard deviation or median with inter-quartile range as required and compared using the Kruskal–Wallis test. Categorical data were expressed as number and percentage and compared using the Fisher exact test. The cumulative hazard function of event occurrence was estimated using the Nelson–Aalen procedure. Early intubation was studied through a mixed-effects logistic regression model, considering a list of covariates (considered as fixed effect covariates). Covariates entered in the multivariate analysis were chosen a priori based on their relevance after reaching a consensus between NL, JFH, AD, MSM, FM, SJ and CD based on published literature review and advice from experts of the topics (Prof. Pierre Asfar and Prof. Laurent Brochard). The practice variation between participating centers was also considered in this model by including “center” as a random effect covariate. Patients intubated for emergent surgery procedure were excluded for this analysis. No imputation was performed for missing data. The goodness-of-fit was assessed using a McKelvey pseudo R-squared measure, evaluating the outcome variability based on the constructed model [21]. The weight of each covariate included in the outcome variability explanation was assessed through the percentage of McKelvey pseudo R-squared associated with this covariate [22]. Graphical representation of patients survival was performed with Kaplan–Meier method, and survival rates were compared with log-rank test. All the tests were two-sided considering a type I error set at 0.05. The statistical analyses were performed using Stata® 13.1.

Results

Eight hundred and fifty-nine patients were enrolled in the study. Early intubation (i.e., in the 8 h following vasopressor initiation) was performed in 209 patients (24%). At 24 h, 70 additional patients had been intubated and 44 were intubated between H24 and H72, and only one thereafter during the ICU stay. Cumulative intubation rate over the ICU stay was therefore 324/859 (38%, range among the centers with at least 20 patients included 14–65%; Q1–Q3 27–46%). The hazard of being intubated over the first 72 h is displayed in Fig. 1.
Fig. 1

Hazard of being intubated from H0 to H72

Hazard of being intubated from H0 to H72 The percentage of patients intubated early ranged from 4.5 to 47%, [Q1–Q3: 17.4–32.6%] across the 18 centers with at least 20 patients included (these centers included 718 patients), see Fig. 2.
Fig. 2

Percentage of patients intubated at H8 and H72 in the 18 centers with at last 20 patients included

Percentage of patients intubated at H8 and H72 in the 18 centers with at last 20 patients included Data of patients intubated early, late (after H8) and never intubated are displayed in Table 1: parameters associated with acute severity (i.e., respiratory and hemodynamic variables), chemotherapy, presence of fungus and some site of infections (digestive and urinary) were significantly different between patients intubated early, late, and never intubated.
Table 1

Patient’s demographic data and outcome according intubation during the ICU stay

Patients intubated early H0–H8 (n = 209)Patients intubated late H8–H72 (n = 114)Patients never intubated (n = 536)P value
Age, years66.5 ± 13.964.6 ± 13.564.9 ± 14.60.30
Sex, female82 (39.4%)35 (30.7%)196 (36.6%)0.30
Weight, kg77.1 ± 18.776.7 ± 18.875.9 ± 19.90.32
Chronic heart failure, NYHA > 215 (7.2%)11 (9.7%)55 (10.3%)0.43
Chronic respiratory failure33 (15.8%)16 (14.2%)84 (15.7%)0.93
 Home oxygen therapy4 (1.9%)3 (2.6%)6 (1.1%)0.33
 Home non-invasive or invasive ventilation therapy2 (1%)4 (3.5%)7 (1.3%)0.18
 Chronic renal failure32 (15.3%)15 (13.2%)88 (16.5%)0.72
 Dialysis10 (4.8%)2 (1.8%)29 (5.4%)0.28
 Cirrhosis24 (11.5%)6 (5.3%)36 (6.7%)0.07
 Immunosuppression51 (24.4%)40 (35.4%)161 (30.3%)0.12
 Chemotherapy26 (12.4%)30 (36.3%)80 (14.9%)0.02
 Corticosteroid therapy > 20 mg/j12 (5.7%)10 (8.8%)41 (7.6%)0.98
 Organ transplant or bone marrow transplant11 (5.3%)5 (4.4%)36 (6.7%)0.37
 Human immunodeficiency virus6 (2.7%)0 (0.00%)13 (2.4%)0.07
 Other immunosuppressive therapy11 (5.3%)8 (7%)46 (8.6%)0.44
 Neutropenia < 500/mm318 (13.4%)13 (11.4%)37 (6.8%)0.13
Infection site
 Heart5 (2.4%)5 (4.6%)10 (2%)0.27
 Skin26 (12.4%)12 (11%)55 (10.8%)0.69
 Digestive62 (29.7%)48 (43.2%)136 (26.8%)0.01
 Gynecological3 (1.4%)0 (0.00%)1 (0.2%)0.09
 Material10 (7.8%)7 (6.5%)32 (6.4%)0.83
 Neurological0 (0.00%)1 (0.9%)1 (0.2%)0.31
 Upper respiratory tract4 (1.9%)2 (1.9%)7 (1.4%)0.65
 Bone2 (1%)1 (0.9%)5 (1%)0.99
 Lung59 (28.2%)29 (26.9%)124 (24.2%)0.37
 Blood55 (27.6%)35 (31.8%)129 (25.5%)0.37
 Urinary37 (18.6%)9 (8.3%)144 (28.1%)< 0.001
 Others8 (4%)2 (1.9%)14 (2.8%)0.73
Pathogens
 Gram-positive cocci61 (31.1%)35 (32.4%)122 (24%)0.06
 Gram-negative bacilli104 (49.8%)53 (48.6%)243 (47.3%)0.52
 Fungus, parasite9 (4.6%)3 (2.8%)6 (1.2%)0.02
 Others9 (4.6%)5 (4.7%)20 (4%)0.84
 Non-identified46 (23.6%)29 (26.9%)162 (31.6%)0.1
Infection type
 Nosocomial infection147 (71%)64 (56.6%)329 (61.6%)0.08
 Community-acquired infection20 (9.7%)17 (15%)75 (14%)
 Healthcare associated infection40 (19.3%)32 (28.3%)130 (24.3%)
Acute physiological parameters and treatment
 pHa7.26 ± 0.157.33 ± 0.17.38 ± 0.1< 0.001
 PaO2, mmHga103.8 ± 54.287.9 ± 29.093.8 ± 30.10.16
 PaCO2, mmHga36.5 ± 14.532.2 ± 8.832.3 ± 8.80.02
 SpO2, %a93.6 ± 5.992.3 ± 6.495.2 ± 3.30.03
 Lactatesa5.4 ± 4.03.5 ± 2.32.9 ± 2.3< 0.001
 Respiratory ratea28.9 ± 7.928.6 ± 6.625.7 ± 6.7< 0.001
 Inability to clear tracheal secretionsa48 (23.7%)13 (11.6%)40 (7.6%)< 0.001
 Use of accessory respiratory musclea101 (49.8%)22 (19.8%)52 (9.9%)< 0.001
 Standard nasal oxygenb70 (35.7%)53 (49.1%)273 (52.8%)< 0.001
 High concentration mask oxygenb76 (39.2%)17 (15.6%)55 (10.9%)< 0.001
 High-flow nasal therapyb22 (11.4%)21 (19.6%)41 (8.1%)< 0.01
 Non-invasive ventilation therapyb20 (10.4%)8 (7.6%)26 (5.2%)0.04
 PaO2/FiO2 ratioa182 (88–295)192 (127–313)295 (208–395)< 0.001
 Glasgow coma scorea12.4 ± 3.914.5 ± 1.514.7 ± 0.9< 0.001
 Vasopressor dosea, µg/kg/min0.74 ± 0.660.50 ± 0.460.35 ± 0.37< 0.001
 Cumulative fluid from first hypotension to H02218.8 ± 1243.21958.6 ± 1137.52179.8 ± 1327.10.25
 SAPS II score at 24 h67.9 ± 22.058.8 ± 18.846.9 ± 13.8< 0.001

Data are n (%) or mean ± SD

aWorst value recorded between H0 and H8, or between H0 and immediately before intubation if intubation performed before H8

bAt H0

Patient’s demographic data and outcome according intubation during the ICU stay Data are n (%) or mean ± SD aWorst value recorded between H0 and H8, or between H0 and immediately before intubation if intubation performed before H8 bAt H0 Two hundred and twenty-six patients reached neurological or respiratory standard criteria for theoretical immediate intubation by H8 and 519 patients did not reach such criteria by H8. Figure 3 shows frequency of intubation at H8 and H72 in these two subgroups of patients, showing that among patients with neurological or respiratory standard criteria for theoretical immediate intubation by H8, only 51% were intubated at this time (66% by H72). One hundred and fourteen patients could not be classified due to missing data. In the group of patients with standard criteria for theoretical immediate intubation, patients intubated early had more severe respiratory, hemodynamic and neurologic parameters in comparison with patients not intubated before H8 and had a worse outcome when considering the number of days without organ support and survival (see Additional file 1: Table S2).
Fig. 3

Intubation frequency at H8 and H72 in patients with and without neurological or respiratory standard criteria for theoretical immediate intubation by H8

Intubation frequency at H8 and H72 in patients with and without neurological or respiratory standard criteria for theoretical immediate intubation by H8 Predictor variables used in the mixed-effects logistic regression model are detailed in Table 2 and its footnote. According to physicians, 71 (8.3%) patients were intubated for emergent surgical procedures; these patients were excluded from the dataset for the analysis. Seven parameters were significantly associated with intubation by H8 and ranked in the model as follows by decreasing weight: Glasgow score, center effect, use of accessory respiratory muscles, lactate, vasopressor dose, pH and inability to clear tracheal secretions. However, the global R-square of the model was only 60% indicating that 40% of the variance of the decision to intubate or not was related to other variables than those entered in this analysis.
Table 2

Multivariate analysis for explaining early intubation

Odds ratio [95% confidence interval]P-value% of r2 contributionCovariate rank in r2 contribution
Use of accessory respiratory musclesa5.63 [2.83–11.82]< 0.00112.83
pH (for each 0.1 decrease)a1.51 [1.09–2.97]0.023.87
Glasgow score (reference ≥ 14)a39.51
10–13 vs ≥ 143.03 [1.20–7.63]0.01
<10 vs ≥ 1439.95 [10.13–134.85]< 0.001
Inability to clear tracheal secretionsa2.64 [1.38–3.96]0.026.026
Vasopressor (for each 1 μg/kg/min increase)a2.34 [1.38–3.96]0.0015.75
Lactate (for each 1 mmol/L increase)a1.11 [1.01–1.21]0.028.64

Overall r2 of the model was 0.6

Parameters entered in the model not presented in the table, with a P-value > 0.1: age, sex, weight, NYHA status, chronic respiratory failure, chronic renal failure, immunosuppression, pulmonary and urinary site of infection, pathogen, respiratory rate, PaCO2, PaO2/FiO2 ratio, fluid loading from first hypotension to H0

aWorst value recorded between H0 and H8, or between H0 and immediately before intubation if performed before H8

Multivariate analysis for explaining early intubation Overall r2 of the model was 0.6 Parameters entered in the model not presented in the table, with a P-value > 0.1: age, sex, weight, NYHA status, chronic respiratory failure, chronic renal failure, immunosuppression, pulmonary and urinary site of infection, pathogen, respiratory rate, PaCO2, PaO2/FiO2 ratio, fluid loading from first hypotension to H0 aWorst value recorded between H0 and H8, or between H0 and immediately before intubation if performed before H8 Finally, mortality and other outcomes were significantly different between patients intubated early, late, and never intubated (see Table 3). Survival according to intubation status is displayed in Fig. 4. Patients never intubated had the higher survival and better outcomes. Comparison of patients intubated early vs. late showed no survival difference, but longer length of ICU and hospital stay in these latter patients.
Table 3

Patient’s outcome according to intubation during the ICU stay

Patients intubated early H0–H8 (n = 209)Patients intubated late H8–H72 (n = 114)Patients never intubated (n = 536)Overall P-valueIntubated early vs. lateP-value
Number of days alive without vasopressor at day 2813.7 ± 14.313.7 ± 11.424.3 ± 17.5< 0.0010.99
Number of days alive without dialysis at day 2815.8 ± 14.717.4 ± 11.526.2 ± 17.4<0.0010.09
Number of days alive without invasive ventilation at day 2811.5 ± 14.111.9 ± 10.526.3 ± 17.5< 0.0010.145
Length of ICU stay, days14.7 ± 35.215.2 ± 20.45.1 ± 37.1< 0.0010.01
Length of hospital stay, days22.7 ± 34.029.3 ± 41.021.7 ± 50.90.010.01
ICU mortality97 (46.9%)44 (38.6%)32 (6%)< 0.0010.2
Hospital mortality106 (51%)56 (49.1%)75 (14.1%)< 0.0010.8
28th-day mortality97 (46.9%)47 (41.2%)70 (13.1%)< 0.0010.4
Fig. 4

28-day survival according to intubation status. P = 0.87 for comparison between patients intubated early vs. delayed, and P = 0.001 for comparisons between patients intubated early vs. never intubated

Patient’s outcome according to intubation during the ICU stay 28-day survival according to intubation status. P = 0.87 for comparison between patients intubated early vs. delayed, and P = 0.001 for comparisons between patients intubated early vs. never intubated

Discussion

In this observational study conducted over 859 patients in 30 ICUs, early intubation (in the 8 h following vasopressor onset) was performed in 24% of the patients. Thirty-eight percent were intubated at H72. A wide variation was observed across centers. In the patients with standard criteria usually recognized for immediate tracheal intubation due to neurological and/or respiratory failure before H8, only half of them were intubated early [12-16]. In a multivariate analysis entering a wide array of parameters, seven neurological, respiratory and hemodynamics acute severity parameters were associated with early intubation. Center effect was also prominent. Finally, the model only explained 60% of the variance of early intubation, meaning that 40% was related to unmeasured parameters. The survival curves showed no mortality difference between early and delayed intubation. Conversely, never-intubated patients had better survival. Few studies have specifically evaluated tracheal intubation in septic shock patients. From large interventional studies on septic shock, although not designed to study intubation specifically, a trend towards lesser intubation rates can be observed, from 80% in the 2000–2011 period to 30% in recent years, which is in line with the rates observed in our study [10, 23, 24]. In a monocentric qualitative survey, Bauer et al. analyzed the factors that influenced the decision of early intubation in sepsis-associated respiratory failure. They showed that the decision to intubate was not solely based on clinical parameters, but also on clinician factors like background, experience or instinct and system factors like organizational structure or workload [25]. Our study confirms and extends these data by showing quantitatively that a vast component of the decision process to intubate in septic shock patients is not related to acute severity parameters or baseline conditions. Initiating tracheal intubation and mechanical ventilation in a septic shock patient is not an inconsequential decision with potential harms and benefit as pointed out in the introduction. To this date, it is impossible to determine whether the place given to tracheal intubation in septic shock patients is adequate or not. The model used in this study only displays the parameters probably taken into account in the decision process, but not if these parameters are appropriate or not for the patient’s outcome. Although we did not observe any difference in mortality between patients intubated early and late, we cannot conclude on the adequate timing for this procedure. Indeed, the fact that our model only explains half of the variance leaves a wide range of parameters beyond the scope of our analysis. Those unknown and possibly important parameters make the impact of intubation and its timing on outcome difficult to analyze in a multivariable model or a propensity score model. Our study has several limitations. The 8-h threshold for defining early intubation could be discussed. As already cited, a previous study showed that tracheal intubation was mostly performed during the first 6 h of septic shock [17]. Six hours is an accepted time frame for early intervention in sepsis [26]. To take into account the workload requirements and organizational factors of this demanding procedure, we extended to the first 8 h the time frame for defining early tracheal intubation. Missing data were observed in 13% of included patients, which may impact the accuracy of our results. We may have missed some important parameters that should have been considered to explain the decision to intubate. However, the prospective and dedicated design of our study allowed the monitoring of a wide range of baseline and clinical parameters. We may also have missed the adequate time frame during which parameters should have been monitored. In a future study, organizational factors (physician experience, workload, etc.) may be registered. Another hypothesis is that this uncertainty represents clinical equipoise, opening the way for a randomized trial comparing early (8 h) vs. late (rescue) tracheal intubation.

Conclusion

In conclusion, we observed that 24% of patients with septic shock were intubated by H8 and 38% at H72. In a multivariate analysis, neurological, respiratory and hemodynamic parameters were associated with early intubation. Center effect had a strong influence on the model and, an important part of the variance remained unexplained. A significant part of the decision to intubate seemed independent of patient characteristics. Additional file 1: Table S1. Conversion table for FiO2 determination. Table S2. Comparison between patients intubated early and not intubated early in the group of patients with standard criteria for early endotracheal intubation.
  24 in total

1.  Current epidemiology of septic shock: the CUB-Réa Network.

Authors:  Djillali Annane; Philippe Aegerter; Marie Claude Jars-Guincestre; Bertrand Guidet
Journal:  Am J Respir Crit Care Med       Date:  2003-07-15       Impact factor: 21.405

2.  Criteria for initiation of invasive ventilation in septic shock: An international survey.

Authors:  Etienne de Montmollin; Jerome Aboab; Ricard Ferrer; Elie Azoulay; Djillali Annane
Journal:  J Crit Care       Date:  2015-10-23       Impact factor: 3.425

Review 3.  Diaphragmatic fatigue during sepsis and septic shock.

Authors:  Sophie Lanone; Camille Taillé; Jorge Boczkowski; Michel Aubier
Journal:  Intensive Care Med       Date:  2005-09-28       Impact factor: 17.440

4.  Predictors of failure of noninvasive positive pressure ventilation in patients with acute hypoxemic respiratory failure: a multi-center study.

Authors:  M Antonelli; G Conti; M L Moro; A Esquinas; G Gonzalez-Diaz; M Confalonieri; P Pelaia; T Principi; C Gregoretti; F Beltrame; M A Pennisi; A Arcangeli; R Proietti; M Passariello; G U Meduri
Journal:  Intensive Care Med       Date:  2001-10-16       Impact factor: 17.440

5.  Early, Goal-Directed Therapy for Septic Shock - A Patient-Level Meta-Analysis.

Authors:  Kathryn M Rowan; Derek C Angus; Michael Bailey; Amber E Barnato; Rinaldo Bellomo; Ruth R Canter; Timothy J Coats; Anthony Delaney; Elizabeth Gimbel; Richard D Grieve; David A Harrison; Alisa M Higgins; Belinda Howe; David T Huang; John A Kellum; Paul R Mouncey; Edvin Music; Sandra L Peake; Francis Pike; Michael C Reade; M Zia Sadique; Mervyn Singer; Donald M Yealy
Journal:  N Engl J Med       Date:  2017-03-21       Impact factor: 91.245

6.  Timing of Intubation in Acute Respiratory Failure Associated With Sepsis: A Mixed Methods Study.

Authors:  Philippe R Bauer; Ashok Kumbamu; Michael E Wilson; Jasleen K Pannu; Jason S Egginton; Rahul Kashyap; Ognjen Gajic
Journal:  Mayo Clin Proc       Date:  2017-09-01       Impact factor: 7.616

Review 7.  Surviving Sepsis Campaign guidelines for management of severe sepsis and septic shock.

Authors:  R Phillip Dellinger; Jean M Carlet; Henry Masur; Herwig Gerlach; Thierry Calandra; Jonathan Cohen; Juan Gea-Banacloche; Didier Keh; John C Marshall; Margaret M Parker; Graham Ramsay; Janice L Zimmerman; Jean-Louis Vincent; Mitchell M Levy
Journal:  Crit Care Med       Date:  2004-03       Impact factor: 7.598

8.  Impact of endotracheal intubation on septic shock outcome: A post hoc analysis of the SEPSISPAM trial.

Authors:  Agathe Delbove; Cédric Darreau; Jean François Hamel; Pierre Asfar; Nicolas Lerolle
Journal:  J Crit Care       Date:  2015-09-01       Impact factor: 3.425

9.  Distribution of respiratory muscle and organ blood flow during endotoxic shock in dogs.

Authors:  S N Hussain; C Roussos
Journal:  J Appl Physiol (1985)       Date:  1985-12

10.  Incidence of and risk factors for severe cardiovascular collapse after endotracheal intubation in the ICU: a multicenter observational study.

Authors:  Sebastien Perbet; Audrey De Jong; Julie Delmas; Emmanuel Futier; Bruno Pereira; Samir Jaber; Jean-Michel Constantin
Journal:  Crit Care       Date:  2015-06-18       Impact factor: 9.097

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  5 in total

1.  Early intubation and patient-centered outcomes in septic shock: a secondary analysis of a prospective multicenter study.

Authors:  Ricard Mellado-Artigas; Carlos Ferrando; Frédéric Martino; Agathe Delbove; Bruno L Ferreyro; Cedric Darreau; Sophie Jacquier; Laurent Brochard; Nicolas Lerolle
Journal:  Crit Care       Date:  2022-06-07       Impact factor: 19.334

2.  High-flow nasal oxygen in patients with COVID-19-associated acute respiratory failure.

Authors:  Ricard Mellado-Artigas; Bruno L Ferreyro; Federico Angriman; María Hernández-Sanz; Egoitz Arruti; Antoni Torres; Jesús Villar; Laurent Brochard; Carlos Ferrando
Journal:  Crit Care       Date:  2021-02-11       Impact factor: 9.097

3.  Bias Due to Cohort Construction in the Study of Timing of Invasive Ventilation.

Authors:  Christopher J Yarnell; Laveena Munshi
Journal:  Crit Care Explor       Date:  2021-04-26

4.  Variation in the risk of death due to COVID-19: An international multicenter cohort study of hospitalized adults.

Authors:  Kieran L Quinn; Husam Abdel-Qadir; Kali Barrett; Emily Bartsch; Andrea Beaman; Tor Biering-Sørensen; Michael Colacci; Alex Cressman; Allan Detsky; Alexi Gosset; Mats H Lassen; Chris Kandel; Yaariv Khaykin; Lauren Lapointe-Shaw; Erik Lovblom; Derek R MacFadden; Bruce Perkins; Kenneth J Rothman; Kristoffer G Skaarup; Nathan Stall; Terence Tang; Chris Yarnell; Jonathan Zipursky; Matthew T Warkentin; Mike Fralick
Journal:  J Hosp Med       Date:  2022-08-30       Impact factor: 2.899

5.  Outcome after intubation for septic shock with respiratory distress and hemodynamic compromise: an observational study.

Authors:  Ting Yang; Yongchun Shen; John G Park; Phillip J Schulte; Andrew C Hanson; Vitaly Herasevich; Yue Dong; Philippe R Bauer
Journal:  BMC Anesthesiol       Date:  2021-10-25       Impact factor: 2.217

  5 in total

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