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There appears to be considerable variability in the approach physicians use to manage arterial carbon dioxide tensions, in patients in the early phases [first 48 hours] of ARDS (Acute hypoxemic respiratory failure and). A number of specific concerns exist, particularly the use of greater than needed inspired oxygen concentrations (potentially in 40% patients), and the proportion of hypocapnic patients in our cohort.
This study will address a number of specific concerns, including:
LUNG SAFE was a prospective observational study. There was not patient intervention. The current analysis is a secondary analysis of this existing database.
Data will be abstracted form the database on all patients meeting the inclusion criteria for ARDS (during the first 2 days from AHRF onset) for the following variables: Patient's demographic characteristics (age, sex) and chronic comorbidities, Arterial PCO2, pH in first 48 hours, Data on P/F ratio over course of illness, Duration of ventilation, ICU stay, hospital survival in patients identified as being exposed to hypocapnia (pCO2 < or = to 30mmHg) and hypercapnia (PCO2 > or = to 45mmHg); Main ventilatory variables: mode of ventilation, tidal volume, respiratory.
Descriptive statistics will include proportions for categorical and mean (standard deviation) or median (interquartile range) for continuous variables, according the data distribution. The amount of missing data in the LUNG SAFE database is low so no assumptions will be made for missing data.
In order to investigate the relationship between PaCO2 and management factors, the investigators will stratify study population according the presence or absence of hypercapnia and will evaluate differences in management factors, using appropriate statistical tests. In detail, proportions will be compared using chi-squared or Fisher exact tests and mean values were compared using T-test or Wilcoxon rank sum test, as appropriate. Shapiro-Wilks test will be used to assess normality in data distribution. Moreover, they will perform univariate and multivariable logistic regression models using hypercapnia as dependent variable. Stepwise regression approach with significance alpha levels of 0.05 (both for entry and retention) will be used to establish a set of independent predictors. Odds ratios (ORs) and 95% confidence intervals (CIs) will be reported as measure of association.
They will assess the association of hypercapnia with different outcomes (ARDS progression, duration of mechanical ventilation, ICU and hospital stay and mortality) using generalized linear regression models (Poisson or Logistic regression models, according outcome distribution) and adjusting the relationship with all possible confounders identified with stepwise approach. Results will be reported as ORs, incidence rate ratios and corresponding 95% CI.
Particular attention will be given to the relationship and interaction between pH and PaCO2.
Survival analysis (Kaplan-Meier approach) will be used to estimate the time of liberation from invasive mechanical ventilation, of ICU and hospital discharge, and of hospital mortality within 28 days of AHRF onset in patients with and without hypercapnia. Differences in survival time will be assess by Log-Rank test.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| 4500 patients with ARDS | This is a secondary analysis of data from the LUNG SAFE database to determine the impact of alterations in arterial carbon dioxide tensions in patients with ARDS. |
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| Measure | Description | Time Frame |
|---|---|---|
| Incidence | The incidence of hypercapnia [i.e. PaCO2 > 45 mmHg] when ARDS arises | LUNG SAFE was a prospective observational study. Patients were followed until hospital discharge or day 90, whichever came first |
| Measure | Description | Time Frame |
|---|---|---|
| Severity | The severity of hypercapnia [i.e. PaCO2 > 45 mmHg] when ARDS arises ARDS | LUNG SAFE was a prospective observational study. Patients were followed until hospital discharge or day 90, whichever came first |
| Hypercapnia |
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Inclusion Criteria:
Exclusion Criteria:
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Patients over 18 years of age who fulfilled clinical criteria for ARDS and Acute Hypoxaemic respiratory failure were recruited into the LUNG SAFE trial (NCT02010073) that was published in JAMA, 2016 Jul 19;316(3):347).
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| Name | Affiliation | Role |
|---|---|---|
| John LAFFEY | National University of Ireland, Galway | Principal Investigator |
| Giacomo BELLANI | University of Milano-Bicocca (Monza, Italy) | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Guy Marie FRANCOIS | Brussels | Belgium |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 26903337 | Background | Bellani G, Laffey JG, Pham T, Fan E, Brochard L, Esteban A, Gattinoni L, van Haren F, Larsson A, McAuley DF, Ranieri M, Rubenfeld G, Thompson BT, Wrigge H, Slutsky AS, Pesenti A; LUNG SAFE Investigators; ESICM Trials Group. Epidemiology, Patterns of Care, and Mortality for Patients With Acute Respiratory Distress Syndrome in Intensive Care Units in 50 Countries. JAMA. 2016 Feb 23;315(8):788-800. doi: 10.1001/jama.2016.0291. | |
| 29138899 |
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| ID | Term |
|---|---|
| D012128 | Respiratory Distress Syndrome |
| D012141 | Respiratory Tract Infections |
| D018805 | Sepsis |
| D006935 | Hypercapnia |
| ID | Term |
|---|---|
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| D012120 | Respiration Disorders |
| D007239 | Infections |
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Factors (e.g. ventilatory mode) contributing to hypercapnia in patients with ARDS
| LUNG SAFE was a prospective observational study. Patients were followed until hospital discharge or day 90, whichever came first |
| Hypercapnia | The impact of hypercapnia on outcome on the progression of ARDS | LUNG SAFE was a prospective observational study. Patients were followed until hospital discharge or day 90, whichever came first |
| pH ((potential of hydrogen) | The impact of pH (respiratory versus metabolic cause) on outcome variables | LUNG SAFE was a prospective observational study. Patients were followed until hospital discharge or day 90, whichever came first |
| Background |
| Laffey JG, Bellani G, Pham T, Fan E, Madotto F, Bajwa EK, Brochard L, Clarkson K, Esteban A, Gattinoni L, van Haren F, Heunks LM, Kurahashi K, Laake JH, Larsson A, McAuley DF, McNamee L, Nin N, Qiu H, Ranieri M, Rubenfeld GD, Thompson BT, Wrigge H, Slutsky AS, Pesenti A; LUNG SAFE Investigators; ESICM Trials Group. Correction to: Potentially modifiable factors contributing to outcome from acute respiratory distress syndrome: the LUNG SAFE study. Intensive Care Med. 2018 Jan;44(1):157-165. doi: 10.1007/s00134-017-4981-z. |
| 28631088 | Background | de Prost N, Pham T, Carteaux G, Mekontso Dessap A, Brun-Buisson C, Fan E, Bellani G, Laffey J, Mercat A, Brochard L, Maitre B; LUNG SAFE investigators; ESICM trials group; REVA network. Etiologies, diagnostic work-up and outcomes of acute respiratory distress syndrome with no common risk factor: a prospective multicenter study. Ann Intensive Care. 2017 Dec;7(1):69. doi: 10.1186/s13613-017-0281-6. Epub 2017 Jun 19. |
| 28624388 | Background | Laffey JG, Madotto F, Bellani G, Pham T, Fan E, Brochard L, Amin P, Arabi Y, Bajwa EK, Bruhn A, Cerny V, Clarkson K, Heunks L, Kurahashi K, Laake JH, Lorente JA, McNamee L, Nin N, Palo JE, Piquilloud L, Qiu H, Jimenez JIS, Esteban A, McAuley DF, van Haren F, Ranieri M, Rubenfeld G, Wrigge H, Slutsky AS, Pesenti A; LUNG SAFE Investigators; ESICM Trials Group. Geo-economic variations in epidemiology, patterns of care, and outcomes in patients with acute respiratory distress syndrome: insights from the LUNG SAFE prospective cohort study. Lancet Respir Med. 2017 Aug;5(8):627-638. doi: 10.1016/S2213-2600(17)30213-8. Epub 2017 Jun 15. |
| 28213623 | Background | Dreyfuss D, Gaudry S, Madotto F, Laffey JG. Some remaining important questions after LUNG SAFE : Discussion of "Potentially modifiable factors contributing to outcome from acute respiratory distress syndrome: the LUNG SAFE study". Intensive Care Med. 2017 Apr;43(4):598-599. doi: 10.1007/s00134-017-4706-3. Epub 2017 Feb 17. No abstract available. |
| 27757516 | Background | Laffey JG, Bellani G, Pham T, Fan E, Madotto F, Bajwa EK, Brochard L, Clarkson K, Esteban A, Gattinoni L, van Haren F, Heunks LM, Kurahashi K, Laake JH, Larsson A, McAuley DF, McNamee L, Nin N, Qiu H, Ranieri M, Rubenfeld GD, Thompson BT, Wrigge H, Slutsky AS, Pesenti A; LUNG SAFE Investigators and the ESICM Trials Group. Potentially modifiable factors contributing to outcome from acute respiratory distress syndrome: the LUNG SAFE study. Intensive Care Med. 2016 Dec;42(12):1865-1876. doi: 10.1007/s00134-016-4571-5. Epub 2016 Oct 18. |
| 27753501 | Background | Bellani G, Laffey JG, Pham T, Madotto F, Fan E, Brochard L, Esteban A, Gattinoni L, Bumbasirevic V, Piquilloud L, van Haren F, Larsson A, McAuley DF, Bauer PR, Arabi YM, Ranieri M, Antonelli M, Rubenfeld GD, Thompson BT, Wrigge H, Slutsky AS, Pesenti A; LUNG SAFE Investigators; ESICM Trials Group. Noninvasive Ventilation of Patients with Acute Respiratory Distress Syndrome. Insights from the LUNG SAFE Study. Am J Respir Crit Care Med. 2017 Jan 1;195(1):67-77. doi: 10.1164/rccm.201606-1306OC. |
| 27608629 | Background | Bellani G, Laffey JG, Pham T, Fan E; LUNG SAFE Investigators and the ESICM Trials Group. The LUNG SAFE study: a presentation of the prevalence of ARDS according to the Berlin Definition! Crit Care. 2016 Sep 9;20(1):268. doi: 10.1186/s13054-016-1443-x. No abstract available. |
| 27434453 | Background | Bellani G, Pham T, Laffey J; LUNG-SAFE Investigators; ESICM Trials Group. Incidence of Acute Respiratory Distress Syndrome--Reply. JAMA. 2016 Jul 19;316(3):347. doi: 10.1001/jama.2016.6471. No abstract available. |
| D018746 |
| Systemic Inflammatory Response Syndrome |
| D007249 | Inflammation |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D012818 | Signs and Symptoms, Respiratory |
| D012816 | Signs and Symptoms |