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Tracheostomy does not improve the outcome of patients requiring prolonged mechanical ventilation: a propensity analysis
- Source :
- Critical Care Medicine, Critical Care Medicine, Lippincott, Williams & Wilkins, 2007, 35 (1), pp.132-8. ⟨10.1097/01.CCM.0000251134.96055.A6⟩, Critical Care Medicine, 2007, 35 (1), pp.132-8. ⟨10.1097/01.CCM.0000251134.96055.A6⟩, Critical Care Medicine, Lippincott, Williams & Wilkins, 2007, 35 (1), pp.132-8. 〈10.1097/01.CCM.0000251134.96055.A6〉
- Publication Year :
- 2007
- Publisher :
- HAL CCSD, 2007.
-
Abstract
- International audience; OBJECTIVE: To examine the association between the performance of a tracheostomy and intensive care unit and postintensive care unit mortality, controlling for treatment selection bias and confounding variables. DESIGN: Prospective, observational, cohort study. SETTING: Twelve French medical or surgical intensive care units. PATIENTS: Unselected patients requiring mechanical ventilation for > or =48 hrs enrolled between 1997 and 2004. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Two models of propensity scores for tracheostomy were built using multivariate logistic regression. After matching on these propensity scores, the association of tracheostomy with outcomes was assessed using multivariate conditional logistic regression. Results obtained with the two models were compared. Of the 2,186 patients included, 177 (8.1%) received a tracheostomy. Both models led to similar results. Tracheostomy did not improve intensive care unit survival (model 1: odds ratio, 0.94; 95% confidence interval, 0.63-1.39; p = .74; model 2: odds ratio, 1.12; 95% confidence interval, 0.75-1.67; p = .59). There was no difference whether tracheostomy was performed early (within 7 days of ventilation) or late (after 7 days of ventilation). In patients discharged free from mechanical ventilation, tracheostomy was associated with increased postintensive care unit mortality when the tracheostomy tube was left in place (model 1: odds ratio, 3.73; 95% confidence interval, 1.41-9.83; p = .008; model 2: odds ratio, 4.63; 95% confidence interval, 1.68-12.72, p = .003). CONCLUSIONS: Tracheostomy does not seem to reduce intensive care unit mortality when performed in unselected patients but may represent a burden after intensive care unit discharge.
- Subjects :
- Male
Time Factors
medicine.medical_treatment
MESH : Prospective Studies
MESH : Aged
MESH: Logistic Models
MESH : Critical Illness
Critical Care and Intensive Care Medicine
Logistic regression
MESH : Intensive Care
law.invention
MESH: Cause of Death
MESH : Tracheostomy
MESH: Selection Bias
Tracheostomy
0302 clinical medicine
MESH: Tracheostomy
Risk Factors
law
MESH: Risk Factors
Cause of Death
MESH : Female
Hospital Mortality
Prospective Studies
MESH: APACHE
MESH: Respiration, Artificial
APACHE
MESH: Treatment Outcome
MESH: Aged
MESH: Middle Aged
Confounding Factors, Epidemiologic
[ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologie
MESH : Selection Bias
Middle Aged
MESH : Adult
MESH : Risk Factors
Intensive care unit
Treatment Outcome
MESH: Survival Analysis
MESH: Critical Illness
Female
France
MESH : APACHE
MESH : Time Factors
Cohort study
Adult
medicine.medical_specialty
Critical Care
Critical Illness
MESH : Male
MESH : Treatment Outcome
MESH: Multivariate Analysis
MESH : Hospital Mortality
03 medical and health sciences
Intensive care
medicine
Humans
MESH : Middle Aged
MESH: Patient Selection
MESH: Intensive Care
MESH: Hospital Mortality
MESH : Respiration, Artificial
MESH : Confounding Factors (Epidemiology)
MESH : France
Selection Bias
Aged
MESH : Cause of Death
Mechanical ventilation
MESH: Humans
business.industry
Patient Selection
MESH : Humans
MESH: Time Factors
MESH: Confounding Factors (Epidemiology)
MESH : Multivariate Analysis
030208 emergency & critical care medicine
MESH: Adult
Odds ratio
MESH : Patient Selection
Respiration, Artificial
Survival Analysis
Confidence interval
MESH: Male
MESH: Prospective Studies
Surgery
MESH: France
Logistic Models
030228 respiratory system
[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie
Multivariate Analysis
Propensity score matching
Emergency medicine
[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie
MESH : Survival Analysis
business
MESH: Female
MESH : Logistic Models
Subjects
Details
- Language :
- English
- ISSN :
- 00903493 and 15300293
- Database :
- OpenAIRE
- Journal :
- Critical Care Medicine, Critical Care Medicine, Lippincott, Williams & Wilkins, 2007, 35 (1), pp.132-8. ⟨10.1097/01.CCM.0000251134.96055.A6⟩, Critical Care Medicine, 2007, 35 (1), pp.132-8. ⟨10.1097/01.CCM.0000251134.96055.A6⟩, Critical Care Medicine, Lippincott, Williams & Wilkins, 2007, 35 (1), pp.132-8. 〈10.1097/01.CCM.0000251134.96055.A6〉
- Accession number :
- edsair.doi.dedup.....63c84283834f775687b2134edd13ae85
- Full Text :
- https://doi.org/10.1097/01.CCM.0000251134.96055.A6⟩