Linda L Chlan1, Kay Savik2. 1. Symptom Management, College of Nursing, The Ohio State University, 1585 Neil Avenue, Columbus, OH 43210, United States. Electronic address: chlan.1@osu.edu. 2. School of Nursing, University of Minnesota, 5-160 Weaver-Densford Hall, 308 Harvard Street SE, Minneapolis, MN 55455, United States. Electronic address: savik001@umn.edu.
Abstract
OBJECTIVES: To describe levels of fatigue and explore clinical factors that might contribute to fatigue in critically ill patients receiving mechanical ventilation. RESEARCH METHODOLOGY/ DESIGN: Descriptive, correlational design. Sample was a sub-set of patients enrolled in a randomised clinical trial testing patient-directed music for anxiety self-management. Clinical factors included age, gender, length of ICU stay, length of ventilatory support, illness severity (APACHE III), and sedative exposure (sedation intensity and frequency). Descriptive statistics and mixed models were used to address the study objectives. SETTING:Medical and surgical intensive care units in the Midwestern United States. MAIN OUTCOME MEASURES: Fatigue was measured daily via a 100-mm Visual Analogue Scale, up to 25 days. RESULTS: A sample of 80 patients (50% female) receiving ventilatory support for a median 7.9 days (range 1-46) with a mean age of 61.2 years (SD 14.8) provideddaily fatigue ratings. ICU admission APACHE III was 61.5 (SD 19.8). Baseline mean fatigue ratings were 60.7 (SD 27.9), with fluctuations over time indicating a general trend upward. Mixed models analysis implicated illness severity (β(se(β))=.27(.12)) and sedation frequency (β(se(β))=1.2(.52)) as significant contributors to fatigue ratings. CONCLUSION: Illness severity and more frequent sedative administration were related to higher fatigue ratings in these mechanically ventilated patients.
RCT Entities:
OBJECTIVES: To describe levels of fatigue and explore clinical factors that might contribute to fatigue incritically illpatients receiving mechanical ventilation. RESEARCH METHODOLOGY/ DESIGN: Descriptive, correlational design. Sample was a sub-set of patients enrolled in a randomised clinical trial testing patient-directed music for anxiety self-management. Clinical factors included age, gender, length of ICU stay, length of ventilatory support, illness severity (APACHE III), and sedative exposure (sedation intensity and frequency). Descriptive statistics and mixed models were used to address the study objectives. SETTING: Medical and surgical intensive care units in the Midwestern United States. MAIN OUTCOME MEASURES: Fatigue was measured daily via a 100-mm Visual Analogue Scale, up to 25 days. RESULTS: A sample of 80 patients (50% female) receiving ventilatory support for a median 7.9 days (range 1-46) with a mean age of 61.2 years (SD 14.8) provided daily fatigue ratings. ICU admission APACHE III was 61.5 (SD 19.8). Baseline mean fatigue ratings were 60.7 (SD 27.9), with fluctuations over time indicating a general trend upward. Mixed models analysis implicated illness severity (β(se(β))=.27(.12)) and sedation frequency (β(se(β))=1.2(.52)) as significant contributors to fatigue ratings. CONCLUSION: Illness severity and more frequent sedative administration were related to higher fatigue ratings in these mechanically ventilated patients.
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