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1.
Med. intensiva (Madr., Ed. impr.) ; 36(7): 488-495, oct. 2012. ilus, tab
Article in Spanish | IBECS | ID: ibc-109918

ABSTRACT

Objetivo: Diseñar un modelo de probabilidad de ventilación mecánica prolongada (VMP) con variables clínicas obtenidas durante las primeras 24 horas de su instauración. Diseño: Estudio de cohorte, observacional, prospectivo, multicéntrico. Ámbito: Trece UCI españolas polivalentes. Pacientes: Adultos ventilados durante más de 24 horas. Intervenciones: Ninguna. Variables de interés: APACHE II, SOFA, variables clínicas y demográficas, motivo de VM, comorbilidad y estado funcional. Se construyó un modelo de riesgo multivariante en el que la variable dependiente tenía tres posibles estados: 1.- Muerte precoz. 2.- Retirada precoz de la VM. 3.- VMP. Resultados: Se incluyeron 1.661 pacientes. El 67,9% (n=1.127) fueron hombres. Edad: 62,1±16,2 años. APACHE II: 20,3±7,5. SOFA: 8,4±3,5. Las puntuaciones APACHE II y SOFA fueron mayores en pacientes ventilados > 7 días (p=0,04 y p=0,0001 respectivamente). El fracaso de la ventilación no invasiva (VNI) se asoció a VMP (p=0,005). Se generó un modelo de riesgo multivariante con las siguientes variables: APACHE II, SOFA, fracaso de VNI, ubicación hospitalaria antes del ingreso en UCI y motivo de ventilación mecánica. La exactitud del modelo global (..) (AU)


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 (AU)


Subject(s)
Humans , Respiration, Artificial , Intubation , Respiratory Insufficiency/epidemiology , Risk Factors , Risk Adjustment/methods , Prospective Studies , Multivariate Analysis , Intensive Care Units/statistics & numerical data
2.
Med Intensiva ; 36(7): 488-95, 2012 Oct.
Article in Spanish | MEDLINE | ID: mdl-22386270

ABSTRACT

OBJECTIVE: To design a probability model for prolonged mechanical ventilation (PMV) using variables obtained during the first 24 hours 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 24 hours. 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.


Subject(s)
Models, Statistical , Respiration, Artificial , Cohort Studies , Female , Humans , Male , Middle Aged , Multivariate Analysis , Prospective Studies , Time Factors
4.
Chest ; 91(3): 467-8, 1987 Mar.
Article in English | MEDLINE | ID: mdl-3816328

ABSTRACT

An 81-year-old woman with a mercury-zinc powered permanent pacemaker experienced the sudden pain on her pacemaker pocket followed by an explosion. We are aware of no other report of the spontaneous and symptomatic bursting of a generator battery with fracture of the pulse generator capsule.


Subject(s)
Pacemaker, Artificial/adverse effects , Pain/etiology , Aged , Female , Humans
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