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      Reply to: Scoring the capillary leak syndrome: towards an individualized gradation of the vascular barrier injury

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      1 , 2 , 3 , , 2 , 3 , 4
      Annals of Intensive Care
      Springer International Publishing

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          Abstract

          We thank Belveyre et al. for their insightful and pertinent comments regarding our study, which aimed at better defining the clinical characteristics of critically ill patients showing capillary leak syndrome (CLS) [1]. As the authors point out correctly, there is no consensus definition for CLS and only limited substantial data breaking down this extremely complex topic [2]. It was our intention to analyze a heterogenous cohort of critically ill patients and to create a scoring system that is easy and feasible in a clinical setting, embracing the pathophysiological mechanism of CLS [3]. Moreover, it was the purpose of this study to evaluate CLS upon arrival in the ICU and on the following days. As a first approach we focused on a heterogenous, postoperative cohort—independent of etiology or previous surgery. We agree that intraoperative factors like excessive blood loss or fluid overload may present a significant impact on the development of CLS in the ICU. However, any correlation between the intra- and postoperative settings were beyond the purpose of our current study. As discussed by the authors, individualized advanced hemodynamic management in the intraoperative period may lead to an altered ICU course, however we doubt that this treatment can be considered a universal standard of care and is utilized anywhere. We agree with Belveyre et al. that intraoperative factors like the extent of surgery may be relevant in its potential to trigger CLS. In our study, surgical time was comparable in both groups. Fluid administration and blood loss showed differences: while patients in the No-CLS group had significantly lower blood loss and subsequently needed less fluid administration, CLS patients suffered from a higher blood loss and required more fluid in the following time [3]. Our study was not intended neither powered to identify all potential intraoperative risk factors that may lead to a postoperative CLS, therefore we agree with the authors that the aforementioned factors may clearly be contributory. Identifying risk factors for CLS, especially originating from the intraoperative period, will be an important future goal. As outlined in the methodology of our manuscript, the ICU physicians judged the presence or absence of CLS using clinical criteria—thus utilizing the only diagnostic, non-invasive and broadly available way to diagnose CLS so far—the clinical view of an experienced ICU physician. This aspect is not only a limitation to our study (and was therefore discussed), but until commonly accepted criteria for CLS exist it will remain problematic in any research on CLS. Therefore, our criteria for patient classification were clearly defined and limited to hemodynamic instability, positive fluid balance, edema formation, and intravascular hypovolemia (i.e., fluid demand). We agree that fluid overload as well as venous congestion among other reasons may falsely lead physicians into diagnosing CLS. However, a positive fluid demand (or intravascular hypovolemia), as e.g., demonstrated by a positive fluid challenge, a passive leg raise or more elaborate diagnostic measures is rarely present in patients with venous congestions. Herein, intravascular hypovolemia presents an important discriminator of patients with volume overload vs. CLS patients. Clinical practice should demonstrate reliable data as an indication and decision basis considering any fluid administration. Although radiolabeled albumin may provide insight into vascular barrier integrity, we believe that this technique is not feasible beyond specific research questions for very selected patients, if at all. We agree with the Belveyre et al. that sublingual intravital microscopy may strengthen the findings in any study evaluating the microvasculature and its characteristics. We have already started to use this technique in our ongoing projects. Regarding the biomarker VE-Cadherin, we intended to evaluate vascular barrier function beyond glycocalyx degradation and endothelial cell stability. However, the predictive properties of VE-Cadherin proved to be less powerful in our cohort using univariate analyses compared to other markers, and therefore it was not included in the subsequent multivariate analysis. In our future studies, we are eager to learn if our findings regarding VE-Cadherin present a cohort-specific phenomenon. To summarize, in our following and ongoing projects, we are focusing on (a) monitoring our scoring system regarding its predictive value, (b) analyzing CLS in different patient cohorts (e.g., cardiac surgery) with its specific risk factors, and (c) delineating therapeutic approaches for “score-positive” patients in the ICU with respect to their level of capillary leak. We believe, that CLS—while emerging from different circumstances when inflammation and microvascular barrier alterations occur—presents with a common phenotype. The question remains why only a fraction of critically ill patients develops CLS! The philosophers' stone is yet to be discovered.

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          Diagnosing capillary leak in critically ill patients: development of an innovative scoring instrument for non-invasive detection

          Background The concomitant occurrence of the symptoms intravascular hypovolemia, peripheral edema and hemodynamic instability is typically named Capillary Leak Syndrome (CLS) and often occurs in surgical critical ill patients. However, neither a unitary definition nor standardized diagnostic criteria exist so far. We aimed to investigate common characteristics of this phenomenon with a subsequent scoring system, determining whether CLS contributes to mortality. Methods We conducted this single-center, observational, multidisciplinary, prospective trial in two separately run surgical ICUs of a tertiary academic medical center. 200 surgical patients admitted to the ICU and 30 healthy volunteers were included. Patients were clinically diagnosed as CLS or No-CLS group (each N = 100) according to the grade of edema, intravascular hypovolemia, hemodynamic instability, and positive fluid balance by two independent attending physicians with > 10 years of experience in ICU. We performed daily measurements with non-invasive body impedance electrical analysis, ultrasound and analysis of serum biomarkers to generate objective diagnostic criteria. Receiver operating characteristics were used, while we developed machine learning models to increase diagnostic specifications for our scoring model. Results The 30-day mortility was increased among CLS patients (12 vs. 1%, P  = 0.002), while showing higher SOFA-scores. Extracellular water was increased in patients with CLS with higher echogenicity of subcutaneous tissue [29(24–31) vs. 19(16–21), P  < 0.001]. Biomarkers showed characteristic alterations, especially with an increased angiopoietin-2 concentration in CLS [9.9(6.2–17.3) vs. 3.7(2.6–5.6)ng/mL, P  < 0.001]. We developed a score using seven parameters (echogenicity, SOFA-score, angiopoietin-2, syndecan-1, ICAM-1, lactate and interleukin-6). A Random Forest prediction model boosted its diagnostic characteristics (AUC 0.963, P  < 0.001), while a two-parameter decision tree model showed good specifications (AUC 0.865). Conclusions Diagnosis of CLS in critically ill patients is feasible by objective, non-invasive parameters using the CLS-Score . A simplified two-parameter diagnostic approach can enhance clinical utility. CLS contributes to mortality and should, therefore, classified as an independent entity. Trial Registration : German Clinical Trials Registry (DRKS No. 00012713), Date of registration 10/05/2017, www.drks.de Graphical Abstract Supplementary Information The online version contains supplementary material available at 10.1186/s13613-021-00965-8.
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            Evaluation of noninvasive determinants for capillary leakage syndrome in septic shock patients.

            Capillary leakage syndrome (CLS) is a frequent complication in sepsis, characterized by loss of intravasal fluids leading to generalized edema and hemodynamic instability despite massive fluid therapy. In spite of its importance no standardized diagnostic criteria are available for CLS. Prospective clinical study. 1,800-bed university hospital Six septic shock patients with CLS were compared to six control patients. CLS was clinically determined by generalized edema, positive fluid balance, and weight gain. Plasma volume was measured by indocyanine green, red blood cell volume by chromium-51 labeled erythrocytes, and colloid osmotic pressure before and 90 min after the administration of 300 ml 20% albumin. Extracellular water (ECW) was measured using the inulin distribution volume and bioelectrical impedance analysis. Red blood cells averaged 20.2 +/- 1.0 ml/ kg body weight in CLS patients and 23.3 +/- 4.1 in controls. ECW was higher in CLS patients than in controls (40.0 +/- 6.9 vs. 21.7 +/- 3.71; p< 0.05). ECW of inulin was correlated with that measured by bioelectrical impedance analysis (r = 0.74, p< 0.01). The increase in colloid osmotic pressure over the 90 min was less in CLS patients than in controls (1.1 +/- 0.3 vs. 2.8 +/- 1.3 mmHg;p< 0.05). These results suggest that measurements of an increased ECW using bioelectrical impedance analysis combined with a different response of colloid osmotic pressure to administration of albumin can discriminate noninvasively between patients with and those without CLS.
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              Author and article information

              Contributors
              jwollborn@bwh.harvard.edu
              Journal
              Ann Intensive Care
              Ann Intensive Care
              Annals of Intensive Care
              Springer International Publishing (Cham )
              2110-5820
              24 March 2022
              24 March 2022
              2022
              : 12
              : 28
              Affiliations
              [1 ]GRID grid.62560.37, ISNI 0000 0004 0378 8294, Department of Anesthesiology, Perioperative and Pain Medicine, , Brigham and Women’s Hospital, Harvard Medical School, ; 75 Francis Street, Boston, MA 02115 USA
              [2 ]GRID grid.5963.9, Department of Anesthesiology and Critical Care, Medical Center, , University of Freiburg, ; Freiburg im Breisgau, Germany
              [3 ]GRID grid.5963.9, Faculty of Medicine, , University of Freiburg, ; Freiburg im Breisgau, Germany
              [4 ]GRID grid.416655.5, Department of Anesthesiology and Critical Care, , St. Franziskus-Hospital, ; Muenster, Germany
              Author information
              http://orcid.org/0000-0002-6767-7978
              Article
              1001
              10.1186/s13613-022-01001-z
              8948307
              35325317
              ae7c8e92-3c33-447b-b540-09324f8103ec
              © The Author(s) 2022

              Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

              History
              : 10 February 2022
              : 15 February 2022
              Categories
              Letter to the Editor
              Custom metadata
              © The Author(s) 2022

              Emergency medicine & Trauma
              Emergency medicine & Trauma

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