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Psychophysiologic Predictors of Weaning from Mechanical Ventilation in Chronic Bronchitis and Emphysema

Author

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  • Linda E. Moody

    (University of South Florida, College of Nursing)

  • Lois Lowry

    (University of South Florida, College of Nursing)

  • Hossein Yarandi

    (University of Florida)

  • Audrey Voss

    (University of South Florida, College of Nursing)

Abstract

Tis study identified psychophysiologic variables related to successful weaning in 27 ventilator-dependent patients with chronic bronchitis and emphysema (CBE) from two long-term care pulmonary-specialty hospitals in South Central Florida Subjects were studied from admission until weaning occurred (successful weaning without mechanical ventilation) or until they were transferred without being weaned or died (unsuccessful weaning). The study subjects, 15 males and 12 females, ranged in age from 56 to 89. Baseline data on the variables (age, mastery, hope, social support, dyspnea, and rapid shallow breathing index [RSBI]) were not statistically significant by gender. he logistic regression model identified mastery and RSBI to be the best predictors of successful weaning (model X 2 = 16.33, df = 2, and p value = .0003; prediction rate 82%).

Suggested Citation

  • Linda E. Moody & Lois Lowry & Hossein Yarandi & Audrey Voss, 1997. "Psychophysiologic Predictors of Weaning from Mechanical Ventilation in Chronic Bronchitis and Emphysema," Clinical Nursing Research, , vol. 6(4), pages 311-330, November.
    • Handle: RePEc:sae:clnure:v:6:y:1997:i:4:p:311-330
    DOI: 10.1177/105477389700600402
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    References listed on IDEAS

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    1. Shye, Diana & Mullooly, John P. & Freeborn, Donald K. & Pope, Clyde R., 1995. "Gender differences in the relationship between social network support and mortality: A longitudinal study of an elderly cohort," Social Science & Medicine, Elsevier, vol. 41(7), pages 935-947, October.
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    1. Staudacher, M. & Telser, S. & Amann, A. & Hinterhuber, H. & Ritsch-Marte, M., 2005. "A new method for change-point detection developed for on-line analysis of the heart beat variability during sleep," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 349(3), pages 582-596.

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