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ICU management based on PiCCO parameters reduces duration of mechanical ventilation and ICU length of stay in patients with severe thoracic trauma and acute respiratory distress syndrome

Overview of attention for article published in Annals of Intensive Care, November 2016
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Title
ICU management based on PiCCO parameters reduces duration of mechanical ventilation and ICU length of stay in patients with severe thoracic trauma and acute respiratory distress syndrome
Published in
Annals of Intensive Care, November 2016
DOI 10.1186/s13613-016-0217-6
Pubmed ID
Authors

Zhong Yuanbo, Wang Jin, Shi Fei, Long Liangong, Liu Xunfa, Xu Shihai, Shan Aijun

Abstract

This study aimed to assess whether a management algorithm using data obtained with a PiCCO system can improve clinical outcomes in critically ill patients with acute respiratory distress syndrome (ARDS). The PaO2/FiO2 ratio increased over time in both groups, with a sharper increase in the PiCCO group. There was no difference in 28-day mortality (3.2 vs. 3.6%, P = 0.841). Days on mechanical ventilation (3 vs. 5 days, P = 0.002) and ICU length of stay (6 vs. 11 days, P = 0.004) were significantly lower in the PiCCO group than in the CVP group. Treatment costs were lower in the PiCCO group than in the CVP group. Multivariate logistic regression model showed that the monitoring method (PiCCO vs. CVP) was independently associated with the length of ICU stay [odds ratio (OR) 3.16, 95% confidence interval (95% CI) 1.55-6.63, P = 0.001], as well as shock (OR 3.41, 95% CI 1.74-6.44, P = 0.002), shock and ARDS (OR 3.46, 95% CI 1.79-6.87, P = 0.002), and APACHE II score (OR 1.17, 95% CI 1.02-1.86, P = 0.014). This study investigated the usefulness of the PiCCO system in improving outcomes for patient with severe thoracic trauma and ARDS and provided new evidence for fluid management in critical care settings.

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Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Other 6 13%
Student > Master 6 13%
Student > Postgraduate 5 11%
Researcher 4 9%
Student > Doctoral Student 3 7%
Other 9 20%
Unknown 13 28%
Readers by discipline Count As %
Medicine and Dentistry 18 39%
Engineering 4 9%
Nursing and Health Professions 3 7%
Unspecified 1 2%
Psychology 1 2%
Other 3 7%
Unknown 16 35%