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      Inspiratory effort impacts the accuracy of pulse pressure variations for fluid responsiveness prediction in mechanically ventilated patients with spontaneous breathing activity: a prospective cohort study

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          Abstract

          Background

          Pulse pressure variation (PPV) is unreliable in predicting fluid responsiveness (FR) in patients receiving mechanical ventilation with spontaneous breathing activity. Whether PPV can be valuable for predicting FR in patients with low inspiratory effort is unknown. We aimed to investigate whether PPV can be valuable in patients with low inspiratory effort.

          Methods

          This prospective study was conducted in an intensive care unit at a university hospital and included acute circulatory failure patients receiving volume-controlled ventilation with spontaneous breathing activity. Hemodynamic measurements were collected before and after a fluid challenge. The degree of inspiratory effort was assessed using airway occlusion pressure (P 0.1) and airway pressure swing during a whole breath occlusion (ΔP occ) before fluid challenge. Patients were classified as fluid responders if their cardiac output increased by ≥ 10%. Areas under receiver operating characteristic (AUROC) curves and gray zone approach were used to assess the predictive performance of PPV.

          Results

          Among the 189 included patients, 53 (28.0%) were defined as responders. A PPV > 9.5% enabled to predict FR with an AUROC of 0.79 (0.67–0.83) in the whole population. The predictive performance of PPV differed significantly in groups stratified by the median value of P 0.1 (P 0.1 < 1.5 cmH 2O and P 0.1 ≥ 1.5 cmH 2O), but not in groups stratified by the median value of ΔP occ (ΔP occ < − 9.8 cmH 2O and ΔP occ ≥ − 9.8 cmH 2O). Specifically, in patients with P 0.1 < 1.5 cmH 2O, PPV was associated with an AUROC of 0.90 (0.82–0.99) compared with 0.68 (0.57–0.79) otherwise (p = 0.0016). The cut-off values of PPV were 10.5% and 9.5%, respectively. Besides, patients with P 0.1 < 1.5 cmH 2O had a narrow gray zone (10.5–11.5%) compared to patients with P 0.1 ≥ 1.5 cmH 2O (8.5–16.5%).

          Conclusions

          PPV is reliable in predicting FR in patients who received controlled ventilation with low spontaneous effort, defined as P 0.1 < 1.5 cmH 2O.

          Trial registration NCT04802668. Registered 6 February 2021, https://clinicaltrials.gov/ct2/show/record/NCT04802668

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s13613-023-01167-0.

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          Most cited references28

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          A method of comparing the areas under receiver operating characteristic curves derived from the same cases.

          Receiver operating characteristic (ROC) curves are used to describe and compare the performance of diagnostic technology and diagnostic algorithms. This paper refines the statistical comparison of the areas under two ROC curves derived from the same set of patients by taking into account the correlation between the areas that is induced by the paired nature of the data. The correspondence between the area under an ROC curve and the Wilcoxon statistic is used and underlying Gaussian distributions (binormal) are assumed to provide a table that converts the observed correlations in paired ratings of images into a correlation between the two ROC areas. This between-area correlation can be used to reduce the standard error (uncertainty) about the observed difference in areas. This correction for pairing, analogous to that used in the paired t-test, can produce a considerable increase in the statistical sensitivity (power) of the comparison. For studies involving multiple readers, this method provides a measure of a component of the sampling variation that is otherwise difficult to obtain.
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            Consensus on circulatory shock and hemodynamic monitoring. Task force of the European Society of Intensive Care Medicine

            Objective Circulatory shock is a life-threatening syndrome resulting in multiorgan failure and a high mortality rate. The aim of this consensus is to provide support to the bedside clinician regarding the diagnosis, management and monitoring of shock. Methods The European Society of Intensive Care Medicine invited 12 experts to form a Task Force to update a previous consensus (Antonelli et al.: Intensive Care Med 33:575–590, 2007). The same five questions addressed in the earlier consensus were used as the outline for the literature search and review, with the aim of the Task Force to produce statements based on the available literature and evidence. These questions were: (1) What are the epidemiologic and pathophysiologic features of shock in the intensive care unit? (2) Should we monitor preload and fluid responsiveness in shock? (3) How and when should we monitor stroke volume or cardiac output in shock? (4) What markers of the regional and microcirculation can be monitored, and how can cellular function be assessed in shock? (5) What is the evidence for using hemodynamic monitoring to direct therapy in shock? Four types of statements were used: definition, recommendation, best practice and statement of fact. Results Forty-four statements were made. The main new statements include: (1) statements on individualizing blood pressure targets; (2) statements on the assessment and prediction of fluid responsiveness; (3) statements on the use of echocardiography and hemodynamic monitoring. Conclusions This consensus provides 44 statements that can be used at the bedside to diagnose, treat and monitor patients with shock.
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              Passive leg raising predicts fluid responsiveness in the critically ill.

              Passive leg raising (PLR) represents a "self-volume challenge" that could predict fluid response and might be useful when the respiratory variation of stroke volume cannot be used for that purpose. We hypothesized that the hemodynamic response to PLR predicts fluid responsiveness in mechanically ventilated patients. Prospective study. Medical intensive care unit of a university hospital. We investigated 71 mechanically ventilated patients considered for volume expansion. Thirty-one patients had spontaneous breathing activity and/or arrhythmias. We assessed hemodynamic status at baseline, after PLR, and after volume expansion (500 mL NaCl 0.9% infusion over 10 mins). We recorded aortic blood flow using esophageal Doppler and arterial pulse pressure. We calculated the respiratory variation of pulse pressure in patients without arrhythmias. In 37 patients (responders), aortic blood flow increased by > or =15% after fluid infusion. A PLR increase of aortic blood flow > or =10% predicted fluid responsiveness with a sensitivity of 97% and a specificity of 94%. A PLR increase of pulse pressure > or =12% predicted volume responsiveness with significantly lower sensitivity (60%) and specificity (85%). In 30 patients without arrhythmias or spontaneous breathing, a respiratory variation in pulse pressure > or =12% was of similar predictive value as was PLR increases in aortic blood flow (sensitivity of 88% and specificity of 93%). In patients with spontaneous breathing activity, the specificity of respiratory variations in pulse pressure was poor (46%). The changes in aortic blood flow induced by PLR predict preload responsiveness in ventilated patients, whereas with arrhythmias and spontaneous breathing activity, respiratory variations of arterial pulse pressure poorly predict preload responsiveness.
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                Author and article information

                Contributors
                15905162429@163.com
                meihaoliang126@163.com
                1056017571@qq.com
                jean-louis.teboul@aphp.fr
                sunqin1990seu@126.com
                xie820405@126.com
                yiyiyang2004@163.com
                haiboq2000@163.com
                liulingdoctor@126.com
                Journal
                Ann Intensive Care
                Ann Intensive Care
                Annals of Intensive Care
                Springer International Publishing (Cham )
                2110-5820
                17 August 2023
                17 August 2023
                2023
                : 13
                : 72
                Affiliations
                [1 ]GRID grid.263826.b, ISNI 0000 0004 1761 0489, Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, , Southeast University, ; No. 87, Dingjiaqiao Road, Gulou District, Nanjing, 210009 People’s Republic of China
                [2 ]GRID grid.263761.7, ISNI 0000 0001 0198 0694, Department of Critical Care Medicine, The First Affiliated Hospital of Soochow University, , Soochow University, ; No. 899 Pinghai Road, Suzhou, 215000 People’s Republic of China
                [3 ]GRID grid.412017.1, ISNI 0000 0001 0266 8918, Department of Critical Care Medicine, Changsha central hospital, , University of South China, ; No. 161, South Shaoshan Road, Changsha, 410000 Hunan People’s Republic of China
                [4 ]GRID grid.410609.a, Department of Critical Care Medicine, , Wuhan first hospital of Hubei Province, ; No 215 Zhongshan Avenue, Qiaokou District, Wuhan, 430000 People’s Republic of China
                [5 ]GRID grid.50550.35, ISNI 0000 0001 2175 4109, Service de médecine intensive-réanimation, Hôpital de Bicêtre, , Université Paris-Saclay, AP-HP, Inserm UMR S_999, ; Le Kremlin-Bicêtre, France
                Article
                1167
                10.1186/s13613-023-01167-0
                10435426
                37592166
                d156694c-ddf4-4c21-a11f-7ed261489d64
                © La Société de Réanimation de Langue Francaise = The French Society of Intensive Care (SRLF) 2023

                Open Access This 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
                : 16 February 2023
                : 1 August 2023
                Funding
                Funded by: Clinical Science and Technology Specific Projects of Jiangsu Province
                Award ID: BE2020786
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100014103, Key Technology Research and Development Program of Shandong;
                Award ID: 2022YFC2504405
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 81870066
                Award ID: 82270083
                Award ID: 81901945
                Award Recipient :
                Funded by: the Second Level Talents of the “333 High Level Talents Training Project” in the sixth phase in Jiangsu
                Award ID: LGY2022025
                Award Recipient :
                Categories
                Research
                Custom metadata
                © La Société de Réanimation de Langue Francaise = The French Society of Intensive Care (SRLF) 2023

                Emergency medicine & Trauma
                acute circulatory failure,fluid responsiveness,pulse pressure variation,inspiratory effort

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