G Choperena

Publications (2)2.14 Total impact

• Article: Prognosis of elderly patients subjected to mechanical ventilation in the ICU.

  J M Añon, V Gómez-Tello, E González-Higueras, V Córcoles, M Quintana, A García de Lorenzo, J J Oñoro, C Martín-Delgado, A García-Fernández, L Marina, F Gordo, G Choperena, R Díaz-Alersi, J C Montejo, J López-Martínez
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  ABSTRACT: OBJECTIVE: To analyze the prognosis of mechanically ventilated elderly patients in the Intensive Care Unit (ICU). DESIGN AND SCOPE: Sub-analysis of a prospective multicenter observational cohort study conducted over a period of two years in 13 medical-surgical ICUs in Spain. PATIENTS: Adult patients who required mechanical ventilation (MV) for longer than 24hours. INTERVENTIONS: None. STUDY VARIABLES: Demographic data, APACHE II, SOFA, reason for MV, comorbidity, functional condition, reintubation, duration of MV, tracheotomy, ICU mortality, in-hospital mortality. RESULTS: A total of 1661 patients were recruited. Males accounted for 67.9% (n=1127), with a mean age of 62.1±16.2 years. APACHE II: 20.3±7.5. Total SOFA: 8.4±3.5. Four hundred and twenty-three patients (25.4%) were ≥ 75 years of age. Comorbidity and functional condition rates were poorer in these patients (p<0.001 for both variables). Mortality in the ICU was higher in the elderly patients (33.6%) than in the younger subjects (25.9%) (p=0.002). Also, in-hospital mortality was higher in those ≥ 75 years of age. No differences in duration of MV, prevalence of tracheostomy or reintubation incidence were found. Regarding the indication for MV, only the patient ≥ 75 years of age with pneumonia, sepsis or trauma had a higher in-ICU mortality than the younger patients (46.3% vs 33.1%, p=0.006; 55% vs 25.8%, p=0.002; 63.6% vs 4.5%, p<0,001, respectively). No differences were found referred to other reasons for MV. CONCLUSION: Older patients (≥ 75 years) have significantly higher in-ICU and in-hospital mortality than younger patients without differences in the duration of mechanical ventilation. Differences in mortality were at the expense of pneumonia, sepsis and trauma.
  Medicina Intensiva 05/2012; · 1.07 Impact Factor
• Article: Prolonged mechanical ventilation probability model.

  J M Añón, V Gómez-Tello, E González-Higueras, J J Oñoro, V Córcoles, M Quintana, J López-Martínez, L Marina, G Choperena, A M García-Fernández, C Martín-Delgado, F Gordo, R Díaz-Alersi, J C Montejo, A García de Lorenzo, M Pérez-Arriaga, R Madero
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  ABSTRACT: OBJECTIVE: To design a probability model for prolonged mechanical ventilation (PMV) using variables obtained during the first 24hours of the start of MV. DESIGN: An observational, prospective, multicenter cohort study. SCOPE: Thirteen Spanish medical-surgical intensive care units. PATIENTS: Adult patients requiring mechanical ventilation for more than 24hours. INTERVENTIONS: None. STUDY VARIABLES: APACHE II, SOFA, demographic data, clinical data, reason for mechanical ventilation, comorbidity, and functional condition. A multivariate risk model was constructed. The model contemplated a dependent variable with three possible conditions: 1. Early mortality; 2. Early extubation; and 3. PMV. RESULTS: Of the 1661 included patients, 67.9% (n=1127) were men. Age: 62.1±16.2 years. APACHE II: 20.3±7.5. Total SOFA: 8.4±3.5. The APACHE II and SOFA scores were higher in patients ventilated for 7 or more days (p=0.04 and p=0.0001, respectively). Noninvasive ventilation failure was related to PMV (p=0.005). A multivariate model for the three above exposed outcomes was generated. The overall accuracy of the model in the training and validation sample was 0.763 (95%IC: 0.729-0.804) and 0.751 (95%IC: 0.672-0.816), respectively. The likelihood ratios (LRs) for early extubation, involving a cutoff point of 0.65, in the training sample were LR (+): 2.37 (95%CI: 1.77-3.19) and LR (-): 0.47 (95%CI: 0.41-0.55). The LRs for the early mortality model, for a cutoff point of 0.73, in the training sample, were LR (+): 2.64 (95%CI: 2.01-3.4) and LR (-): 0.39 (95%CI: 0.30-0.51). CONCLUSIONS: The proposed model could be a helpful tool in decision making. However, because of its moderate accuracy, it should be considered as a first approach, and the results should be corroborated by further studies involving larger samples and the use of standardized criteria.
  Medicina Intensiva 03/2012; 36(7):488-495. · 1.07 Impact Factor