the impact of aerosolized mucolytic agents on the airflow resistance of bacterial filters used in mechanical ventilation

;Han-Chung Hu;Hsin-Chun Liu;Yen-Huey Chen;Chung-Chi Huang;Gwo-Hwa Wan;Lan-Ti Chou;Meng-Jer Hsieh;Ning-Hung Chen;Cheng-Ta Yang;Kuo-Chin Kao
Bioorganic & medicinal chemistry letters 2015 Vol. 114 pp. 717-721
209
hu2015journalthe

Abstract

In order to reduce the contamination in the ventilator, bacterial filters were placed on the expiratory limb of a ventilator circuit. Aerosolized mucolytic agents may increase the resistance of the ventilator. The goal of this study is to determine the impact of aerosolized mucolytic agents on the pressure change during mechanical ventilation. Methods: A lung model was investigated with mucolytic inhaled agents of 10% acetylcysteine and 2% hypertonic saline. The agents were administered using a jet nebulizer every 45 minutes for 15 minutes. The pressure drop was measured after nebulization. The end point was referred to the 45th dose or obstruction of the filter. Furthermore, the pressure drop after steam autoclaving was also measured. Results: The maximum pressure was significantly higher with 10% acetylcysteine than with 2% sodium chloride (39.32 ± 7.22 cmH2O vs. 3.53 ± 0.90 cmH2O, p < 0.001). With acetylcysteine filters, the pressure drop over 4 cmH2O occurred earlier and had a good relationship between the degree of pressure drop and doses. The acetylcysteine group yielded a significant difference in the pressure drop compared to the newly autoclaved and the end point of inhalation (p = 0.043). Conclusion: This study demonstrated the aerosolized mucolytic agents could increase the pressure drop of the bacterial filters during mechanical ventilation. The pressure drop of the bacterial filters was higher with 10% acetylcysteine. It is critical to continuously monitor the expiration resistance, auto-positive end-expiratory pressure, and ventilator output waveform when aerosolized 10% acetylcysteine was used in mechanical ventilation patients.

Citation

ID: 197379
Ref Key: hu2015journalthe
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
197379
Unique Identifier:
10.1016/j.jfma.2013.06.010
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet