Abstract

BackgroundIn critically ill patients intravascular volume status and pulmonary edema need to be quantified as soon as possible. Many critically ill patients undergo a computed tomography (CT)-scan of the thorax after admission to the intensive care unit (ICU). This study investigates whether CT-based estimation of cardiac preload and pulmonary hydration can accurately assess volume status and can contribute to an early estimation of hemodynamics.MethodsThirty medical ICU patients. Global end-diastolic volume index (GEDVI) and extravascular lung water index (EVLWI) were assessed using transpulmonary thermodilution (TPTD) serving as reference method (with established GEDVI/EVLWI normal values). Central venous pressure (CVP) was determined. CT-based estimation of GEDVI/EVLWI/CVP by two different radiologists (R1, R2) without analyzing software. Primary endpoint: predictive capabilities of CT-based estimation of GEDVI/EVLWI/CVP compared to TPTD and measured CVP. Secondary endpoint: interobserver correlation and agreement between R1 and R2.ResultsAccuracy of CT-estimation of GEDVI (< 680, 680-800, > 800 mL/m2) was 33%(R1)/27%(R2). For R1 and R2 sensitivity for diagnosis of low GEDVI (< 680 mL/m2) was 0% (specificity 100%). Sensitivity for prediction of elevated GEDVI (> 800 mL/m2) was 86%(R1)/57%(R2) with a specificity of 57%(R1)/39%(R2) (positive predictive value 38%(R1)/22%(R2); negative predictive value 93%(R1)/75%(R2)). Estimated CT-GEDVI and TPTD-GEDVI were significantly different showing an overestimation of GEDVI by the radiologists (R1: mean difference ± standard error (SE): 191 ± 30 mL/m2, p < 0.001; R2: mean difference ± SE: 215 ± 37 mL/m2, p < 0.001). CT GEDVI and TPTD-GEDVI showed a very low Lin-concordance correlation coefficient (ccc) (R1: ccc = +0.20, 95% CI: +0.00 to +0.38, bias-correction factor (BCF) = 0.52; R2: ccc = -0.03, 95% CI: -0.19 to +0.12, BCF = 0.42). Accuracy of CT estimation in prediction of EVLWI (< 7, 7-10, > 10 mL/kg) was 30% for R1 and 40% for R2. CT-EVLWI and TPTD-EVLWI were significantly different (R1: mean difference ± SE: 3.3 ± 1.2 mL/kg, p = 0.013; R2: mean difference ± SE: 2.8 ± 1.1 mL/kg, p = 0.021). Again ccc was low with -0.02 (R1; 95% CI: -0.20 to +0.13, BCF = 0.44) and +0.14 (R2; 95% CI: -0.05 to +0.32, BCF = 0.53). GEDVI, EVLWI and CVP estimations of R1 and R2 showed a poor interobserver correlation (low ccc) and poor interobserver agreement (low kappa-values).ConclusionsCT-based estimation of GEDVI/EVLWI is not accurate for predicting cardiac preload and extravascular lung water in critically ill patients when compared to invasive TPTD-assessment of these variables.

Highlights

  • In critically ill patients intravascular volume status and pulmonary edema need to be quantified as soon as possible

  • The aim of our study was to investigate whether radiographic estimation of global end-diastolic volume index (GEDVI), extravascular lung water index (EVLWI) and central venous pressure (CVP) using computed tomography (CT) scanning of the thorax was able to contribute to an early, non-invasive estimation of hemodynamics in the clinical setting of critically ill patients

  • transpulmonary thermodilution (TPTD) results At the time of enrollment, mean TPTD-derived GEDVI was 685 ± 154 mL/m2, mean TPTD-derived EVLWI was 11.6 ± 6.4 mL/kg, and mean measured CVP was 15.9 ± 6.3 mmHg

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Summary

Introduction

In critically ill patients intravascular volume status and pulmonary edema need to be quantified as soon as possible. In order to guide volume resuscitation adequately, early assessment of intravascular and pulmonary fluid status is a crucial goal in the management of critically ill patients in the emergency department or the intensive care unit (ICU). Portable chest radiography can be used for a rough estimation of intravascular volume status as well as lung water and pulmonary edema [6,7,8]. Transpulmonary thermodilution (TPTD) allows the measurement of cardiac preload (global enddiastolic volume index; GEDVI) and pulmonary fluid status (extravascular lung water index; EVLWI) [9,10,11,12,13,14]

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