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Heart Lung ; 46(6): 464-467, 2017.
Article in English | MEDLINE | ID: mdl-28882385

ABSTRACT

BACKGROUND: During mechanical ventilation medical aerosol delivery has been reported to be upto two fold greater with dry inhaled gas than with heated humidity. Urine levels at 0.5 h post dose (URSAL0.5%) has been confirmed as an index of lung deposition and 24 h (URSAL24%) as index of systemic absorption. Our aim was to determine the effect of humidification and aerosol device type on drug delivery to ventilated patients using urine levels. METHODS: In a randomized crossover design, 36 (18female) mechanically ventilated patients were assigned to one of three groups. Groups 1 and 2 received 5000 µg salbutamol using vibrating mesh (VM) and jet nebulizers (JN), respectively, while group 3 received 1600 µg (16 puffs) of salbutamol via metered dose inhaler with AeroChamber Vent (MDI-AV). All devices were placed in the inspiratory limb of ventilator downstream from the humidifier. Each subject received aerosol with and without humidity at >24 h intervals with >12 h washout periods between salbutamol doses. Patients voided urine 15 min before each study dose and urine samples were collected at 0.5 h post dosing and pooled for the next 24 h. RESULTS: The MDI-AV and VM resulted in a higher percentage of urinary salbutamol levels compared to the JN (p < 0.05). Urine levels were similar between humidity and dry conditions. CONCLUSIONS: Our findings suggest that in-vitro reports overestimate the impact of dry vs. heated humidified conditions on the delivery of aerosol during invasive mechanical ventilation.


Subject(s)
Albuterol/pharmacokinetics , Lung/metabolism , Metered Dose Inhalers , Respiration, Artificial/methods , Administration, Inhalation , Aerosols/administration & dosage , Aerosols/pharmacokinetics , Albuterol/administration & dosage , Biological Availability , Bronchodilator Agents/administration & dosage , Bronchodilator Agents/pharmacokinetics , Cross-Over Studies , Equipment Design , Female , Humans , Humidifiers/statistics & numerical data , Male , Middle Aged
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