4.5 Article

A longitudinal change of syndecan-1 predicts risk of acute respiratory distress syndrome and cumulative fluid balance in patients with septic shock: a preliminary study

Journal

JOURNAL OF INTENSIVE CARE
Volume 9, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s40560-021-00543-x

Keywords

Glycocalyx; ARDS; Septic shock; Hyperpermeability; Syndecan-1; Cumulative fluid balance

Funding

  1. JSPS KAKENHI [15K10997, 18K08927]
  2. Grants-in-Aid for Scientific Research [15K10997, 18K08927] Funding Source: KAKEN

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This study found that higher levels of Syn-1 in patients with septic shock are associated with more ARDS, increased cumulative fluid balance, and fewer VFD. However, there was no correlation with sequential organ failure assessment score or APACHE II score.
Background The purpose of this study is to investigate the time course of syndecan-1 (Syn-1) plasma levels, the correlation between Syn-1 and organ damage development, and the associations of Syn-1 level with cumulative fluid balance and ventilator-free days (VFD) in patients with septic shock. Methods We collected blood samples from 38 patients with septic shock upon their admission to ICU and for the first 7 days of their stay. Syn-1 plasma level, acute respiratory distress syndrome (ARDS), other organ damage, VFD, and cumulative fluid balance were assessed daily. Results Over the course of 7 days, Syn-1 plasma levels increased significantly more in patients with ARDS than in those without ARDS. Patients with high levels of Syn-1 in the 72 h after ICU admission had significantly higher cumulative fluid balance, lower PaO2/FiO(2), and fewer VFD than patients with low levels of Syn-1. Syn-1 levels did not correlate with sequential organ failure assessment score or with APACHE II score. Conclusions In our cohort of patients with septic shock, higher circulating level of Syn-1 of cardinal glycocalyx component is associated with more ARDS, cumulative positive fluid balance, and fewer VFD. Measurement of Syn-1 levels in patients with septic shock might be useful for predicting patients at high risk of ARDS.

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