The diagnostic accuracy of lung ultrasound to determine PiCCO-derived extravascular lung water in invasively ventilated patients with COVID-19 ARDS
The Ultrasound Journal volume 15, Article number: 40 (2023)
Lung ultrasound (LUS) can detect pulmonary edema and it is under consideration to be added to updated acute respiratory distress syndrome (ARDS) criteria. However, it remains uncertain whether different LUS scores can be used to quantify pulmonary edema in patient with ARDS.
This study examined the diagnostic accuracy of four LUS scores with the extravascular lung water index (EVLWi) assessed by transpulmonary thermodilution in patients with moderate-to-severe COVID-19 ARDS.
In this predefined secondary analysis of a multicenter randomized-controlled trial (InventCOVID), patients were enrolled within 48 hours after intubation and underwent LUS and EVLWi measurement on the first and fourth day after enrolment. EVLWi and ∆EVLWi were used as reference standards. Two 12-region scores (global LUS and LUS–ARDS), an 8-region anterior–lateral score and a 4-region B-line score were used as index tests. Pearson correlation was performed and the area under the receiver operating characteristics curve (AUROCC) for severe pulmonary edema (EVLWi > 15 mL/kg) was calculated.
26 out of 30 patients (87%) had complete LUS and EVLWi measurements at time point 1 and 24 out of 29 patients (83%) at time point 2. The global LUS (r = 0.54), LUS–ARDS (r = 0.58) and anterior–lateral score (r = 0.54) correlated significantly with EVLWi, while the B-line score did not (r = 0.32). ∆global LUS (r = 0.49) and ∆anterior–lateral LUS (r = 0.52) correlated significantly with ∆EVLWi. AUROCC for EVLWi > 15 ml/kg was 0.73 for the global LUS, 0.79 for the anterior–lateral and 0.85 for the LUS–ARDS score.
Overall, LUS demonstrated an acceptable diagnostic accuracy for detection of pulmonary edema in moderate–to–severe COVID-19 ARDS when compared with PICCO. For identifying patients at risk of severe pulmonary edema, an extended score considering pleural morphology may be of added value.
Trial registration: ClinicalTrials.gov identifier NCT04794088, registered on 11 March 2021. European Clinical Trials Database number 2020–005447-23.
The accumulation of protein-rich fluid in the interstitial and alveolar space is a central hallmark of Acute Respiratory Distress Syndrome (ARDS) . The extent of pulmonary edema influences the course and severity of respiratory insufficiency  and outcomes of patients with ARDS [3, 4]. Quantification of pulmonary edema aids in monitoring disease course and guides clinical decision-making [5,6,7,8], for instance regarding fluid management and the initiation of invasive ventilation. However, accurate quantification is not a simple task. Pulmonary edema can be assessed by several methods, including computed tomography (CT) [9, 10], chest X-ray  and pulse contour cardiac output (PiCCO) transpulmonary thermodilution. The former two techniques use ionizing radiation and CT requires patient transport. Extravascular lung water index (EVLWi) measurement by PiCCO requires arterial and central venous cannulation [11, 12]. Lung ultrasound (LUS) is a non-invasive imaging method that can be used to assess edema [7, 13, 14], as well as pleural effusions, consolidations, pneumothorax and pleural abnormalities [15, 16].
PiCCO-derived EVLWi is a validated, quantitative measure of pulmonary edema in ARDS [11, 17,18,19]. Recent years have seen an effort to quantify pulmonary edema using LUS [7, 14, 15] using B-lines, ultrasonographic artifacts thought to arise from the change in acoustic impedance between aerated and non-aerated tissue . Evidence of the correlation of LUS with EVLWi on the Intensive Care Unit (ICU) is relatively sparse and results vary [6, 14, 21, 22]. Among other factors, variation can be attributed to the wide variety of LUS methodologies used . Proposed techniques include scoring aeration patterns [14, 24, 25] and counting the number of B-lines [22, 26]. The range of examined thoracic regions varies from 4 to 28 zones [13, 14, 21, 23, 26, 27]. Simplified scores offer appeal for clinical use, which is offset by a potential loss of information. Comprehensive scoring methods may provide higher accuracy at the cost of an extended examination time . There is a need for studies that compare different proposed LUS scores to assess pulmonary edema in ARDS, keeping in mind the tension between accuracy and clinical applicability.
In this study, the primary outcome was the correlation of four existing LUS scores with EVLWi as the reference standard. Secondary aims were to evaluate the correlation of the change in LUS scores and EVLWi between two time points, and to assess the diagnostic accuracy of LUS scores for severe pulmonary edema defined as an EVLWi > 15 ml/kg . We hypothesized that both extended and limited LUS aeration scores can quantify PiCCO-derived pulmonary edema and changes therein in patients with COVID-19 ARDS.
Study design and ethical considerations
This study was a predefined secondary analysis of data collected within the multicenter, randomized, double-blind, placebo-controlled InventCOVID trial (The efficacy and safety of intravenous imatinib in invasively ventilated patients with COVID-19-related acute respiratory distress syndrome, ClinicalTrials.gov identifier: NCT04794088) conducted between March 2021 and March 2022. The trial included invasively ventilated patients on mixed medical and surgical intensive care units (ICUs) at four hospitals in the Netherlands. Of these, two participating centers performed LUS. The Institutional Review Board of the Amsterdam UMC, location VUMC (identifier 2020.0752) approved the study and written informed consent for the use of clinical data, LUS imaging and blood samples was obtained from the patient or their legal representatives.
All data were obtained from patients enrolled in the InventCOVID trial. Patients were included in the current study if aged ≥ 18 years, classified as moderate or severe ARDS  due to COVID-19, and in whom LUS and EVLWi measurements were performed at time point 1 (the day of enrollment into the InventCOVID trial). The main exclusion criteria for this study were missing LUS and EVLWi measurements at timepoint 1 or ≥ 4 missing regions on LUS exam. For a complete list of in- and exclusion criteria of the InventCOVID trial, we refer to the original work  and to Additional file 1 (p. 1).
EVLWi measurement by transpulmonary thermodilution was used as the reference test. The PiCCO catheter was placed into the femoral or brachial artery and the injectate temperature sensor was attached to the most proximal port of the central venous catheter. The cardiac output measurement was calibrated using transpulmonary thermodilution (PiCCO System, version 4.1; Pulsion Medical Systems; Munich, Germany). 20 ml of cold (< 8 °C) 0.9% saline solution was injected to cause a change in temperature of ≥ 0.2 °C at the arterial catheter tip. This procedure was repeated three times and the result was averaged to obtain the cardiac output. The volume of EVLW obtained from the PiCCO measurement performed by trained ICU nursing staff blinded for the index test. EVLW was indexed to predicted body weight to obtain EVLWi.
The index test for this study was LUS. LUS was performed using the LOGIQ-e (GE Healthcare, Milwaukee, USA), E-Cube i7/8 (Alpinion Medical Systems, Seoul, Republic of Korea) and Sonosite Edge II (Fujifilm Sonosite Inc., Bothell, USA) ultrasound machines. Prior to the start of this study, two LUS investigators (LNA, JS) were trained by two experienced ultrasonographers (MRS, MEH). All LUS images were obtained and scored offline by one of the two LUS investigators (LNA, JS) before retrieving the EVLWi measurement. The procedure of acquiring LUS images and determining the global LUS score has been previously described [9, 31]. In short, scanning in oblique orientation (i.e., length of the probe parallel to the costae), a linear array transducer (5.0–12.0 MHz) was used to examine two ventral, two lateral and two dorsal images per hemithorax, resulting in a 12-region scan. For the B-line score, images obtained with the curved array transducer were used (2.5–5.0 MHz) to reproduce the previously described method used for this score . Harmonics were turned off to allow for optimal visualization of ultrasonographic artifacts and image depth was set at > 6 cm. Focus was adjusted to the height of the pleura. Figure 1 shows examples of LUS images used for scoring.
To obtain the global LUS score, LUS–ARDS and anterior–lateral score, loss of aeration was scored per region as previously described  and summarized in Table 1. To determine the LUS–ARDS score, a formula was developed by Smit et al.  based on a logistic regression model (see Table 1). The ∆LUS scores and ∆EVLWi were calculated by subtracting the measurement performed at time point 1 from the measurement at time point 2.
Categorical data were expressed as numbers and percentages and differences were tested using the Chi-square test. Continuous data were expressed as mean ± standard deviation (SD) or median ± interquartile range [IQR] and differences were analyzed depending on parametric or non-parametric distribution using a t test or one-way ANOVA, or a Mann–Whitney U or Kruskal–Wallis test, respectively. Tests were two-sided with a significance level of 0.05. Based on previous studies, a sample size of 26 or more was required for a correlation coefficient of 0.5 at an alpha of 0.05 and a power of 80% [6, 21].
To examine the association of the LUS scores with EVLWi, we performed Pearson correlation analysis. We tested for moderation of the association by positive end-expiratory pressure (PEEP) in a linear regression model. Diagnostic accuracy of the LUS scores for severe pulmonary edema was quantified using the area under the receiver operating characteristic curve (AUROCC) with a 95% confidence interval (CI). AUROCCs were compared using the De Long test. LUS score cutoffs were chosen based on a sensitivity of 90% or higher. This cutoff was chosen based on presumed clinical significance of a test with high sensitivity for identifying patients who may be at risk of developing severe pulmonary edema and may thus benefit from early intervention and monitoring. Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were calculated for these cutoffs. All statistical analyses were conducted using R studio, version 4.0.3.
Demographic and clinical patient characteristics at timepoint 1 are summarized in Table 2 and the inclusion flow chart is depicted in Fig. 2. At timepoint 1, LUS examination was available in 30 (91%) out of 33 patients in whom LUS was performed and EVLWi data were available in 31 patients (94%). At timepoint 2, 29 (89%) out of 33 patients had available LUS and EVLWi data. After the exclusion of exams with > 4 missing regions, 26 (87%) of the 30 patients remained at timepoint 1 and 24 (83%) of 29 patients at timepoint 2 (Fig. 2, Additional file 1: Table S2). The majority of patients was classified as having moderate ARDS according to the Berlin criteria (74%, Table 2). A median EVLWi of 14.5 ml/kg with a pulmonary vascular permeability index (PVPi) of > 3 indicated moderate-to-severe permeability-driven pulmonary edema in this population (Table 2, Fig. 3).
Correlation of LUS scores with EVLWi
The correlations of the LUS scores with EVLWi and ∆LUS scores with ∆EVLWi are depicted in Fig. 4A. The global LUS score and LUS–ARDS score both significantly correlated with EVLWi (Fig. 4A). The ∆global LUS score was significantly associated with ∆EVLWi between timepoints 1 and 2, while the correlation of the ∆LUS–ARDS score with ∆EVLWi did not reach statistical significance (Fig. 4B). Testing for moderation, there was no significant interaction between PEEP and the association between the global LUS score (p = 0.66), the LUS–ARDS score (p = 0.88) and the anterior–lateral LUS score (p = 0.46) with EVLWi.
Next, we examined the correlation of the LUS aeration score limited to the 8 anterior–lateral regions. The association with EVLWi (Fig. 4A) and the correlation of the ∆anterior–lateral LUS score and ∆EVLWi (Fig. 4B) were significant and comparable to the associations of the 12-region global LUS score with EVLWi. The B-line score and ∆B-line score did not significantly correlate with EVLWi (Fig. 4A) and ∆EVLWi (Fig. 4B), respectively.
Diagnostic accuracy for EVLWi > 15 ml/kg
Receiver operating characteristics (ROC) curves for the diagnostic accuracy of the LUS scores for detecting severe pulmonary edema (EVLWi > 15 ml/kg) are presented in Fig. 5. AUROCC, sensitivity, specificity, NPV and PPV are presented in Table 3 and the results of the De Long test comparing AUROCCs are displayed in the legend of Fig. 5.
The global LUS score had an AUROCC of 0.73 (CI 0.52–0.94). A cutoff of 11 out of 36 points had a sensitivity of 0.91 and a specificity of 0.29 for severe pulmonary edema. The AUROCC of the LUS–ARDS score was 0.85 (CI 0.70–1.0), with a cutoff of 37 out of 91 points that resulted in a sensitivity of 0.91 and a specificity of 0.71. The anterior–lateral score had an AUROCC of 0.79 (CI 0.58–1.0). At cutoff of 8 of 24 points, the sensitivity was 0.91 and the specificity 0.57 (Table 3). Comparing the three AUROCCs using the De Long test showed no statistically significant differences between the global LUS and the LUS–ARDS score, the global LUS and the anterior–lateral score and the LUS–ARDS and the anterior–lateral scores (see legend Fig. 5).
In this predefined secondary analysis of the InventCOVID trial, we evaluated the correlation between four existing LUS scores and EVLWi in COVID-19 ARDS patients. The key findings of the study were: (1) the global LUS score, the LUS–ARDS score and the anterior–lateral score correlated with EVLWi, while the B-line score did not; (2) changes in the global LUS score and anterior–lateral score correlated with changes in EVLWi over time.
The 12- and 8-region scores examined in this study can quantify PiCCO-derived pulmonary edema measurements in COVID-19 ARDS. Combined with previous studies [24, 25, 32], our results further support the use of LUS for the assessment of pulmonary edema in patients with ARDS. The correlation of the shorter anterior-lateral score with EVLWi is in line with previous work that showed comparable performance of the 8-region score to more extensive protocols in assessing diagnostic accuracy and monitoring ARDS [33, 34]. The rationale of exempting the dorsal regions from examination is the prevalence of compression atelectasis and gravitational accumulation of pulmonary edema in the supine position . Moreover, a score that requires less time to perform remains clinically attractive, as LUS is a bedside tool. Our data suggests that quantification of EVLW with the 8-region anterior–lateral score may be an alternative to the 12-region protocols to quantify pulmonary edema.
The performance of the LUS–ARDS score supports the score’s value in as an adjunct in the comprehensive assessment of patients with ARDS. Notably, this score was developed and validated for ARDS diagnosis  and not to predict pulmonary edema. Unlike other LUS aeration scores, the presence of pleural abnormalities contributes to the LUS–ARDS score. This choice was made to better capture the uncertain, non-binary nature of ARDS as a syndrome . We hypothesize that taking into account pleural morphology in combination with the aeration score increases the likelihood of identifying severe pulmonary edema by functioning as an indicator of disease severity in the rest of the lung. Combined with the recently reported high accuracy for ARDS diagnosis , the score could be a useful adjunct to identify patients at risk of clinically relevant pulmonary edema. Validation in a non-COVID-19 ARDS cohort is needed to extrapolate our findings to the broader ARDS population.
To analyze the diagnostic accuracy of the LUS scores for detecting an EVLWi > 15 ml/kg, score cutoffs were chosen based on a sensitivity of > 90%. This comes at the expense of specificity—a choice which was made with clinical practice in mind. A clinician performing a LUS exam in a patient with ARDS can use a score below the determined cutoffs to rule out severe pulmonary edema at the moment of measurement. On the one hand, this may provide reassurance of the already implemented treatment. On the other hand, it can alert the clinician to monitor and/or to initiate proactive intervention in a patient who is clinically suspected to be at risk of deteriorating.
Considering the potential risk of over- or underestimation of pulmonary edema through the use of aeration patterns [33, 37,38,39], it follows that a score based solely on the number of B-lines may be more appropriate for focused quantification. Enghard et al. found an excellent correlation (r = 0.91) of a simplified 4-region B-line score with EVLWi in a mixed ICU population . However, of the 50 patients, only 6 were classified as ARDS, considerably limiting the validity of their findings for the ARDS population. One study examined the same score in 26 ARDS patients and described a correlation (r = 0.66); however, it found that changes in B-line score could not predict variations in EVLWi . In the current study, we found no significant correlation of the B-line score with EVLWi, nor with ∆EVLWi. Considering these discrepancies, it is questionable whether B-line counting is suitable for scoring pulmonary edema in ARDS patients. Reasons for the inconsistent performance of the score include that the choice of transducer and the interpretation of the sonographer significantly affect the reproducibility of this method .
Aside from assessing severity, monitoring changes in pulmonary edema and lung aeration is useful to evaluate treatment response. A change in global LUS score and the anterior–lateral LUS score between timepoints 1 and 2 was significantly associated with ∆EVLWi, and ∆LUS–ARDS score was positively associated with ∆EVLWi, despite not reaching statistical significance. Possibly, the global and anterior–lateral LUS scores are better suited to monitor pulmonary edema over time. A reason may be that the LUS–ARDS score considers pleural abnormalities, which may not be as sensitive to changes in EVLW as aeration patterns are. Based on the current findings and other studies [8, 41], LUS aeration scores seem useful to evaluate a change in EVLW in (COVID-19) ARDS. To validate this conclusion, a future study may include measurements at multiple timepoints.
The study has several strengths. First, the prospectively included population was exclusively comprised of patients with COVID-19 ARDS, making this a population with a single pulmonary etiology and thus providing a rare degree of relative homogeneity. Second, the availability of two timepoints of measurement allowed us to investigate the correlation of ∆LUS and ∆EVLWi, allowing for assessment of the value of LUS for monitoring pulmonary edema. Third, to our knowledge this is the first study to compare four previously proposed LUS scores that differ in terms of examined regions and/or means of score aggregation.
Some limitations should be acknowledged. The inclusion of COVID-19 ARDS patients with moderate-to-severe illness reduces external validity to ARDS populations with a different etiology or milder disease severity. However, we considered COVID-19 ARDS to be particularly suitable for this study, as it typically presents without the concomitant pathologies that challenge PiCCO measurement in other critically ill patients [42, 43]. Second, the study only included invasively ventilated patients, not patients receiving non-invasive modes, such as high-flow nasal oxygen. Therefore, we cannot draw conclusions about the use of LUS in a group that may particularly benefit from quantification of pulmonary edema [44, 45] and initiation of early intervention. Finally, the number of missing regions decreased the sample size and excluding patients with ≥ 4 missing regions may have induced a degree of selection bias.
This explorative study highlights that LUS can determine PiCCO-derived EVLWi, strengthening the rationale for its use to quantify pulmonary edema in patients with ARDS. Research into the application of LUS to quantify edema and use this information to guide adherence to a restrictive fluid balance is currently ongoing (ClinicalTrials.gov: NCT05188092). Yet, the results of this small study also underline the need for a larger sample, in which the different LUS techniques are systematically compared to the reference standard with the aim of drawing a definitive conclusion on the optimal score to be used in clinical practice.
In conclusion, both 12-region LUS scores and the 8-region anterior–lateral score correlated with PiCCO-derived pulmonary edema in invasively ventilated patients with COVID-19 ARDS. The anterior–lateral score seems to be as useful to quantify and monitor change in pulmonary edema as the 12-region scores. Combined with its recently reported high accuracy to diagnose ARDS, the LUS–ARDS score may be best-suited for a comprehensive assessment of ARDS diagnosis and pulmonary edema severity.
Availability of data and materials
All anonymized patient data will be available after the publication of the article. The data can be requested from the corresponding author (firstname.lastname@example.org) by other researchers when reuse conditions are met.
Matthay MA, Zemans RL, Zimmerman GA et al (2019) Acute respiratory distress syndrome. Nat Rev Dis Primer 5(1):18. https://doi.org/10.1038/s41572-019-0069-0
Matthay MA, Zemans RL (2011) The acute respiratory distress syndrome: pathogenesis and treatment. Annu Rev Pathol 6:147–163. https://doi.org/10.1146/annurev-pathol-011110-130158
Warren MA, Zhao Z, Koyama T et al (2018) Severity scoring of lung oedema on the chest radiograph is associated with clinical outcomes in ARDS. Thorax 73(9):840–846. https://doi.org/10.1136/thoraxjnl-2017-211280
Jozwiak M, Silva S, Persichini R et al (2013) Extravascular lung water is an independent prognostic factor in patients with acute respiratory distress syndrome. Crit Care Med 41(2):472–480. https://doi.org/10.1097/CCM.0b013e31826ab377
Pierrakos C, Lieveld A, Pisani L et al (2021) A lower global lung ultrasound score is associated with higher likelihood of successful extubation in invasively ventilated COVID-19 patients. Am J Trop Med Hyg 105(6):1490–1497. https://doi.org/10.4269/ajtmh.21-0545
Bataille B, Rao G, Cocquet P et al (2015) Accuracy of ultrasound B-lines score and E/Ea ratio to estimate extravascular lung water and its variations in patients with acute respiratory distress syndrome. J Clin Monit Comput 29(1):169–176. https://doi.org/10.1007/s10877-014-9582-6
Volpicelli G, Mussa A, Garofalo G et al (2006) Bedside lung ultrasound in the assessment of alveolar-interstitial syndrome. Am J Emerg Med 24(6):689–696. https://doi.org/10.1016/j.ajem.2006.02.013
Heldeweg MLA, Lopez Matta JE, Haaksma ME et al (2021) Lung ultrasound and computed tomography to monitor COVID-19 pneumonia in critically ill patients: a two-center prospective cohort study. Intensive Care Med Exp 9(1):1. https://doi.org/10.1186/s40635-020-00367-3
Chiumello D, Froio S, Bouhemad B, Camporota L, Coppola S (2013) Clinical review: Lung imaging in acute respiratory distress syndrome patients—an update. Crit Care 17(6):243. https://doi.org/10.1186/cc13114
Barile M, Hida T, Hammer M, Hatabu H (2020) Simple quantitative chest CT for pulmonary edema. Eur J Radiol Open 7:100273. https://doi.org/10.1016/j.ejro.2020.100273
Tagami T, Kushimoto S, Yamamoto Y et al (2010) Validation of extravascular lung water measurement by single transpulmonary thermodilution: human autopsy study. Crit Care Lond Engl 14(5):R162–R162. https://doi.org/10.1186/cc9250
Jozwiak M, Teboul JL, Monnet X (2015) Extravascular lung water in critical care: recent advances and clinical applications. Ann Intensive Care 5(1):38. https://doi.org/10.1186/s13613-015-0081-9
Seibel A, Zechner PM, Berghold A et al (2020) B-Lines for the assessment of extravascular lung water: Just focused or semi-quantitative? Acta Anaesthesiol Scand 64(7):953–960. https://doi.org/10.1111/aas.13586
Zhao Z, Jiang L, Xi X et al (2015) Prognostic value of extravascular lung water assessed with lung ultrasound score by chest sonography in patients with acute respiratory distress syndrome. BMC Pulm Med 15(1):98. https://doi.org/10.1186/s12890-015-0091-2
Chiumello D, Mongodi S, Algieri I et al (2018) Assessment of lung aeration and recruitment by CT scan and ultrasound in acute respiratory distress syndrome patients*. Crit Care Med 46(11):1761–1768. https://doi.org/10.1097/CCM.0000000000003340
Lichtenstein DA (2014) Lung ultrasound in the critically ill. Ann Intensive Care 4(1):1. https://doi.org/10.1186/2110-5820-4-1
Tagami T, Ong MEH (2018) Extravascular lung water measurements in acute respiratory distress syndrome: why, how, and when? Curr Opin Crit Care 24(3):209–215. https://doi.org/10.1097/MCC.0000000000000503
Sakka SG (2013) Extravascular lung water in ARDS patients. Minerva Anestesiol 79(3):274–284
Kushimoto S, Taira Y, Kitazawa Y et al (2012) The clinical usefulness of extravascular lung water and pulmonary vascular permeability index to diagnose and characterize pulmonary edema: a prospective multicenter study on the quantitative differential diagnostic definition for acute lung injury/acute respiratory distress syndrome. Crit Care Lond Engl 16(6):R232. https://doi.org/10.1186/cc11898
Lichtenstein D, Mézière G, Biderman P, Gepner A, Barré O (1997) The comet-tail artifact: an ultrasound sign of alveolar-interstitial syndrome. Am J Respir Crit Care Med 156(5):1640–1646. https://doi.org/10.1164/ajrccm.156.5.96-07096
Agricola E, Bove T, Oppizzi M et al (2005) “Ultrasound comet-tail images”: a marker of pulmonary edema: a comparative study with wedge pressure and extravascular lung water. Chest 127(5):1690–1695. https://doi.org/10.1378/chest.127.5.1690
Enghard P, Rademacher S, Nee J et al (2015) Simplified lung ultrasound protocol shows excellent prediction of extravascular lung water in ventilated intensive care patients. Crit Care Lond Engl 19(1):36. https://doi.org/10.1186/s13054-015-0756-5
Neuteboom OB, Heldeweg ML, Pisani L et al (2020) Assessing extravascular lung water in critically Ill patients using lung ultrasound: a systematic review on methodological aspects in diagnostic accuracy studies. Ultrasound Med Biol 46(7):1557–1564. https://doi.org/10.1016/j.ultrasmedbio.2020.02.014
Heldeweg MLA, Smit MR, Kramer-Elliott SR et al (2022) Lung ultrasound signs to diagnose and discriminate interstitial syndromes in ICU patients: a diagnostic accuracy study in two cohorts. Crit Care Med 50(11):1607–1617. https://doi.org/10.1097/CCM.0000000000005620
Smit MR, Hagens LA, Heijnen NFL et al (2023) Lung ultrasound prediction model for acute respiratory distress syndrome: a multicenter prospective observational study. Am J Respir Crit Care Med. https://doi.org/10.1164/rccm.202210-1882OC
Mayr U, Lukas M, Habenicht L et al (2022) B-Lines scores derived from lung ultrasound provide accurate prediction of extravascular lung water index: an observational study in critically Ill patients. J Intensive Care Med 37(1):21–31. https://doi.org/10.1177/0885066620967655
Pirompanich P, Karakitsos D, Alharthy A et al (2018) Evaluating extravascular lung water in sepsis: three lung-ultrasound techniques compared against transpulmonary thermodilution. Indian J Crit Care Med Peer-Rev Off Publ Indian Soc Crit Care Med 22(9):650–655. https://doi.org/10.4103/ijccm.IJCCM_256_18
Cox EGM, Wiersema R, Wong A et al (2020) Six versus eight and twenty-eight scan sites for B-line assessment: differences in examination time and findings. Intensive Care Med 46(5):1063–1064. https://doi.org/10.1007/s00134-020-06004-7
The ARDS Definition Task Force* (2012) Acute respiratory distress syndrome: the berlin definition. JAMA 307(23):2526–2533. https://doi.org/10.1001/jama.2012.5669
Atmowihardjo LN, Schippers JR, Duijvelaar E et al (2023) Efficacy and safety of intravenous imatinib in COVID-19 ARDS: a randomized, double-blind, placebo-controlled clinical trial. Crit Care 27(1):226. https://doi.org/10.1186/s13054-023-04516-4
Hagens LA, Heijnen NFL, Smit MR et al (2021) Diagnosis of acute respiratory distress syndrome (DARTS) by bedside exhaled breath octane measurements in invasively ventilated patients: protocol of a multicentre observational cohort study. Ann Transl Med 9(15):1262–1262. https://doi.org/10.21037/atm-21-1384
Demi L, Mento F, Di Sabatino A et al (2022) Lung ultrasound in COVID-19 and Post-COVID-19 patients, an evidence-based approach. J Ultrasound Med 41(9):2203–2215. https://doi.org/10.1002/jum.15902
Pisani L, Vercesi V, van Tongeren PSI et al (2019) The diagnostic accuracy for ARDS of global versus regional lung ultrasound scores - a post hoc analysis of an observational study in invasively ventilated ICU patients. Intensive Care Med Exp 7(Suppl 1):44. https://doi.org/10.1186/s40635-019-0241-6
Heldeweg MLA, Lieveld AWE, de Grooth HJ, Heunks LMA, Tuinman PR (2021) Determining the optimal number of lung ultrasound zones to monitor COVID-19 patients: can we keep it ultra-short and ultra-simple? Intensive Care Med 47(9):1041–1043. https://doi.org/10.1007/s00134-021-06463-6
Tierney DM, Boland LL, Overgaard JD et al (2018) Pulmonary ultrasound scoring system for intubated critically ill patients and its association with clinical metrics and mortality: a prospective cohort study. J Clin Ultrasound 46(1):14–22. https://doi.org/10.1002/jcu.22526
Smit MR, Bos LDJ (2023) Reply to Volpicelli and Bouhemad. Am J Respir Crit Care Med 208(1):113–114. https://doi.org/10.1164/rccm.202304-0683LE
Riviello ED, Kiviri W, Twagirumugabe T et al (2016) Hospital incidence and outcomes of the acute respiratory distress syndrome using the kigali modification of the berlin definition. Am J Respir Crit Care Med 193(1):52–59. https://doi.org/10.1164/rccm.201503-0584OC
Vercesi V, Pisani L, van Tongeren PSI et al (2018) External confirmation and exploration of the Kigali modification for diagnosing moderate or severe ARDS. Intensive Care Med 44(4):523–524. https://doi.org/10.1007/s00134-018-5048-5
See KC, Ong V, Tan YL, Sahagun J, Taculod J (2018) Chest radiography versus lung ultrasound for identification of acute respiratory distress syndrome: a retrospective observational study. Crit Care Lond Engl 22(1):203. https://doi.org/10.1186/s13054-018-2105-y
Haaksma ME, Smit JM, Heldeweg MLA, Pisani L, Elbers P, Tuinman PR (2020) Lung ultrasound and B-lines: B careful! Intensive Care Med 46(3):544–545. https://doi.org/10.1007/s00134-019-05911-8
Wang F, Wang C, Shi J et al (2021) Lung ultrasound score assessing the pulmonary edema in pediatric acute respiratory distress syndrome received continuous hemofiltration therapy: a prospective observational study. Review. https://doi.org/10.2120/rs.3.rs-31702/v4
Cox EGM, Koster G, Baron A et al (2020) Should the ultrasound probe replace your stethoscope? A SICS-I sub-study comparing lung ultrasound and pulmonary auscultation in the critically ill. Crit Care 24(1):14. https://doi.org/10.1186/s13054-019-2719-8
Hofkens PJ, Verrijcken A, Merveille K et al (2015) Common pitfalls and tips and tricks to get the most out of your transpulmonary thermodilution device: results of a survey and state-of-the-art review. Anaesthesiol Intensive Ther 47(2):89–116. https://doi.org/10.5603/AIT.a2014.0068
Matthay MA, Thompson BT, Ware LB (2021) The Berlin definition of acute respiratory distress syndrome: should patients receiving high-flow nasal oxygen be included? Lancet Respir Med 9(8):933–936. https://doi.org/10.1016/S2213-2600(21)00105-3
Chew MS, Ihrman L, During J et al (2012) Extravascular lung water index improves the diagnostic accuracy of lung injury in patients with shock. Crit Care 16(1):R1. https://doi.org/10.1186/cc10599
This project has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement number 101005142. This Joint Undertaking receives support from the European Union’s Horizon 2020 research and innovation program and EFPIA. For more information, see http://www.imi.europa.eu. The funder had no role in the study design, data collection, data interpretation or writing of the scientific report.
Ethics approval and consent to participate
The medical ethics review committee of the Amsterdam UMC, location VUMC (identifier 2020.0752) approved the study and written informed consent for the use of clinical data, LUS imaging and blood samples was obtained from the patient or their legal representatives.
Consent for publication
The authors have no competing interest to declare.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Atmowihardjo, L.N., Schippers, J.R., Haaksma, M.E. et al. The diagnostic accuracy of lung ultrasound to determine PiCCO-derived extravascular lung water in invasively ventilated patients with COVID-19 ARDS. Ultrasound J 15, 40 (2023). https://doi.org/10.1186/s13089-023-00340-7