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      Comparison of assessment of diaphragm function using speckle tracking between patients with successful and failed weaning: a multicentre, observational, pilot study

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          Abstract

          Background

          Diaphragmatic ultrasound has been increasingly used to evaluate diaphragm function. However, current diaphragmatic ultrasound parameters provide indirect estimates of diaphragmatic contractile function, and the predictive value is controversial. Two-dimensional (2D) speckle tracking is an effective technology for measuring tissue deformation and can be used to measure diaphragm longitudinal strain (DLS) to assess diaphragm function. The purpose of this study was to determine the feasibility and reproducibility of DLS quantification by 2D speckle tracking and to determine whether maximal DLS could be used to predict weaning outcomes.

          Methods

          This study was performed in the intensive care unit of two teaching hospitals, and was divided into two studies. Study A was a prospective study to evaluate the feasibility, reliability, and repeatability of speckle tracking in assessing DLS in healthy subjects and mechanically ventilated patients. Study B was a multicentre retrospective study to assess the use of maximal DLS measured by speckle tracking in predicting weaning outcomes.

          Results

          Twenty-five healthy subjects and twenty mechanically ventilated patients were enrolled in Study A. Diaphragmatic speckle tracking was easily accessible. The intra- and interoperator reliability were good to excellent under conditions of eupnoea, deep breathing, and mechanical ventilation. The intraclass correlation coefficient (ICC) ranged from 0.78 to 0.95. Ninety-six patients (fifty-nine patients were successfully weaned) were included in Study B. DLS exhibited a fair linear relationship with both the diaphragmatic thickening fraction (DTF) (R 2 = 0.73, p < 0.0001) and diaphragmatic excursion (DE) (R 2 = 0.61, p < 0.0001). For the prediction of successful weaning, the areas under the ROC curves of DLS, diaphragmatic thickening fraction DTF, RSBI, and DE were 0.794, 0.794, 0.723, and 0.728, respectively. The best cut-off value for predicting the weaning success of DLS was less than -21%, which had the highest sensitivity of 89.19% and specificity of 64.41%.

          Conclusions

          Diaphragmatic strain quantification using speckle tracking is easy to obtain in healthy subjects and mechanically ventilated patients and has a high predictive value for mechanical weaning. However, this method offers no advantage over RSBI. Future research should assess its value as a predictor of weaning.

          Trial registration

          This study was registered in the Chinese Clinical Trial Register (ChiCTR), ChiCTR2100049816. Registered 10 August 2021. http://www.chictr.org.cn/showproj.aspx?proj=131790

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12890-022-02260-z.

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          Most cited references39

          • Record: found
          • Abstract: found
          • Article: not found

          A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research.

          Intraclass correlation coefficient (ICC) is a widely used reliability index in test-retest, intrarater, and interrater reliability analyses. This article introduces the basic concept of ICC in the content of reliability analysis.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Statistics corner: A guide to appropriate use of correlation coefficient in medical research.

              M M Mukaka (2012)
              Correlation is a statistical method used to assess a possible linear association between two continuous variables. It is simple both to calculate and to interpret. However, misuse of correlation is so common among researchers that some statisticians have wished that the method had never been devised at all. The aim of this article is to provide a guide to appropriate use of correlation in medical research and to highlight some misuse. Examples of the applications of the correlation coefficient have been provided using data from statistical simulations as well as real data. Rule of thumb for interpreting size of a correlation coefficient has been provided.
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                Author and article information

                Contributors
                qianchengxu@whu.edu.cn
                yangxiao88@whu.edu.cn
                qianyan198710@163.com
                huchang@whu.edu.cn
                lwh683@126.com
                caishuhan@163.com
                hubozn@whu.edu.cn
                drljg5361@163.com
                Journal
                BMC Pulm Med
                BMC Pulm Med
                BMC Pulmonary Medicine
                BioMed Central (London )
                1471-2466
                1 December 2022
                1 December 2022
                2022
                : 22
                : 459
                Affiliations
                [1 ]GRID grid.413247.7, ISNI 0000 0004 1808 0969, Department of Critical Care Medicine, , Zhongnan Hospital of Wuhan University, ; Wuhan, 430071 Hubei China
                [2 ]Clinical Research Center of Hubei Critical Care Medicine, Wuhan, 430071 Hubei China
                [3 ]GRID grid.452929.1, ISNI 0000 0004 8513 0241, Department of Critical Care Medicine, , The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), ; Wuhu, 241000 Anhui China
                [4 ]Anhui Provincial Clinical Research Center for Critical Respiratory Disease, Wuhu, 241000 Anhui China
                [5 ]Department of Emergency Intensive Care Unit, EastChina Normal University, Wuhu Hospital, Wuhu, 241000 Anhui China
                Article
                2260
                10.1186/s12890-022-02260-z
                9716762
                36456940
                29872f3a-17a6-41b1-8767-0337d5380d99
                © 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/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 7 August 2022
                : 24 November 2022
                Categories
                Research
                Custom metadata
                © The Author(s) 2022

                Respiratory medicine
                speckle tracking,diaphragm,ultrasound,strain,weaning,mechanical ventilation
                Respiratory medicine
                speckle tracking, diaphragm, ultrasound, strain, weaning, mechanical ventilation

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