OBJECTIVE: To design and evaluate a simple and rapid method to predict body hydration status in critically ill patients. DESIGN: Prospective, consecutive sample. SETTING: Medical intensive care unit of a university hospital. PATIENTS: 31 consecutive patients. METHODS: All patients were classified daily for hydration status by the attending physician based on clinical impression, weight changes and laboratory measurements. The hydration status was scored as 'dehydrated', 'euvolemic' or 'edematous'. The total body impedance was measured daily by a tetrapolar impedance technique. RESULTS: Resistances > 700 omega were found in dehydrated subjects and resistances of < 400 omega in edematous patients. Weight gain was observed in dehydrated and weight loss in edematous patients. A discriminant analysis was used to create a predictive model for hydration using the daily impedance and weight measurements. If a cutoff point of 60% for the predicted classification was used to categorize the patient's hydration as dehydrated, euvolemic and edematous, no false positive predictions were observed for the dehydrated or the edematous state. CONCLUSION: Impedance measurements are in close agreement with the clinical impression of hydration of critically ill patients. Future investigations must elucidate the clinical importance.
OBJECTIVE: To design and evaluate a simple and rapid method to predict body hydration status in critically illpatients. DESIGN: Prospective, consecutive sample. SETTING: Medical intensive care unit of a university hospital. PATIENTS: 31 consecutive patients. METHODS: All patients were classified daily for hydration status by the attending physician based on clinical impression, weight changes and laboratory measurements. The hydration status was scored as 'dehydrated', 'euvolemic' or 'edematous'. The total body impedance was measured daily by a tetrapolar impedance technique. RESULTS: Resistances > 700 omega were found in dehydrated subjects and resistances of < 400 omega in edematouspatients. Weight gain was observed in dehydrated and weight loss in edematouspatients. A discriminant analysis was used to create a predictive model for hydration using the daily impedance and weight measurements. If a cutoff point of 60% for the predicted classification was used to categorize the patient's hydration as dehydrated, euvolemic and edematous, no false positive predictions were observed for the dehydrated or the edematous state. CONCLUSION: Impedance measurements are in close agreement with the clinical impression of hydration of critically illpatients. Future investigations must elucidate the clinical importance.
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