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EV1000/VolumeView: a new device for a more reliable measurement of extravascular lung water index in patients with lung resections

Introduction

Hemodynamic monitoring is important in high-risk surgical patients in order to detect and correct circulatory instability, thereby improving outcome [1]. The extravascular lung water index (EVLWI) reflects pulmonary edema [2]. The new EV1000/VolumeView (Edwards Lifesciences) can accurately measure EVLWI corrected for the actual volume of lung parenchyma (EVLWIc). The aim of our study is to prove a stronger correlation between EVLWIc and PaO2/FiO2 compared with EVLWI in patients undergoing pulmonary resection.

Methods

A prospective observational study. Seven patients with lung cancer undergoing pulmonary resection were monitored using the EV1000 plathform. EVLWI was assessed by thermodilution at the following time points: after intubation (t1); during single-lung ventilation (t2); after lung resection (t3); after ICU admission (t4); 12 hours (t5) and 18 hours after ICU admission (t6). EVLWIc values were also collected at t3 and t4. PaO2/FiO2 was measured at the same time points.

Results

No significant correlation was found between EVLWI and PaO2/ FiO2 (r = -0.3124, P > 0.05), while a significant correlation was seen between EVLWIc and PaO2/FiO2 (r = -0.528, P = 0.009; Figure 1).

Figure 1
figure1

Correlation between PaO 2 /FiO 2 and EVLWIc.

Conclusion

Despite the small sample size, this study shows that in patients undergoing pulmonary resection the EVLWIc is more strongly correlated to PaO2/FiO2 than EVLWI. Therefore, the EV1000 may be a valuable tool for more reliable hemodynamic monitoring in this subgroup of patients.

References

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    Sakka SG, et al.: Chest. 2002, 122: 2080-2086. 10.1378/chest.122.6.2080

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Correspondence to A Donati.

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Donati, A., Melia, C., Monaldi, V. et al. EV1000/VolumeView: a new device for a more reliable measurement of extravascular lung water index in patients with lung resections. Crit Care 17, P192 (2013). https://doi.org/10.1186/cc12130

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Keywords

  • Lung Cancer
  • Small Sample Size
  • Observational Study
  • Strong Correlation
  • Emergency Medicine