Literature DB >> 28774325

What is the impact of the fluid challenge technique on diagnosis of fluid responsiveness? A systematic review and meta-analysis.

Laura Toscani1,2, Hollmann D Aya3,4, Dimitra Antonakaki1,5, Davide Bastoni1,6, Ximena Watson1, Nish Arulkumaran1, Andrew Rhodes1, Maurizio Cecconi1.   

Abstract

BACKGROUND: The fluid challenge is considered the gold standard for diagnosis of fluid responsiveness. The objective of this study was to describe the fluid challenge techniques reported in fluid responsiveness studies and to assess the difference in the proportion of 'responders,' (PR) depending on the type of fluid, volume, duration of infusion and timing of assessment.
METHODS: Searches of MEDLINE and Embase were performed for studies using the fluid challenge as a test of cardiac preload with a description of the technique, a reported definition of fluid responsiveness and PR. The primary outcome was the mean PR, depending on volume of fluid, type of fluids, rate of infusion and time of assessment.
RESULTS: A total of 85 studies (3601 patients) were included in the analysis. The PR were 54.4% (95% CI 46.9-62.7) where <500 ml was administered, 57.2% (95% CI 52.9-61.0) where 500 ml was administered and 60.5% (95% CI 35.9-79.2) where >500 ml was administered (p = 0.71). The PR was not affected by type of fluid. The PR was similar among patients administered a fluid challenge for <15 minutes (59.2%, 95% CI 54.2-64.1) and for 15-30 minutes (57.7%, 95% CI 52.4-62.4, p = 1). Where the infusion time was ≥30 minutes, there was a lower PR of 49.9% (95% CI 45.6-54, p = 0.04). Response was assessed at the end of fluid challenge, between 1 and 10 minutes, and >10 minutes after the fluid challenge. The proportions of responders were 53.9%, 57.7% and 52.3%, respectively (p = 0.47).
CONCLUSIONS: The PR decreases with a long infusion time. A standard technique for fluid challenge is desirable.

Entities:  

Keywords:  Fluid challenge; Fluid responsiveness; Fluid resuscitation; Fluid therapy

Mesh:

Year:  2017        PMID: 28774325      PMCID: PMC5543539          DOI: 10.1186/s13054-017-1796-9

Source DB:  PubMed          Journal:  Crit Care        ISSN: 1364-8535            Impact factor:   9.097


Background

Intravenous fluid is one of the most commonly administered therapies for critically ill patients and is the cornerstone of haemodynamic management of patients in intensive care units (ICUs) [1]. The rationale for volume expansion is to increase the cardiac output (CO) and oxygen delivery to ultimately improve tissue oxygenation. The gold standard for assessing fluid responsiveness to guide fluid administration in critically ill patients is to perform a fluid challenge. This involves the infusion of a specific amount of intravenous fluid to assess ventricular preload reserve and subsequent systemic haemodynamic effects [2]. The volume of fluid infused must be sufficient to increase right ventricular diastolic volume and subsequently stroke volume (SV) as described by the Frank-Starling law [3]. Fluid responsiveness is conventionally defined as an increase of at least 10% to 15% in SV in response to a fluid challenge, which is a reflection of the limits of precision of the technology used [4, 5]. Patients who reach this threshold are considered ‘fluid responders’. Clinical studies have demonstrated that approximately 50% of critically ill patients who are deemed to have inadequate CO are fluid responders [6]. However, fluid responsiveness is neither a binary nor a static condition, because it depends on dynamic interaction between intravascular volume, vascular tone and ventricular function. Furthermore, fluid responsiveness may also depend on the particularities of the fluid challenge, including the type and volume of fluid as well as the administration rate. Administration of a fluid challenge is not a standardised technique, with varying volumes, infusion rates, fluid types and durations of response. The use of different methods to estimate SV is a further confounder. Whilst different clinical conditions may require different fluid challenge techniques, there is heterogeneity in practice for the same clinical condition [6]. We hypothesise that the technique of fluid challenge affects fluid responsiveness. This may result in different clinical decisions. Either inadequate or excessive fluid administration has adverse clinical consequences, and a better understanding fluid administration is likely to improve patient management and outcome. The objective of this study was to describe the different fluid challenge techniques used in clinical trials by assessing fluid responsiveness and how the proportion of patients deemed ‘fluid-responsive’ varies according to the technique used.

Methods

Studies

This study was conducted following a pre-defined protocol (Additional file 1: Appendix 1). No ethical approval or patient consent was necessary for the present study. We included studies meeting the following inclusion criteria: use of a fluid challenge as a test of cardiac preload or as part of a clinical algorithm, studies performed in ICUs or operating theatres with adult patients, studies including a full description of the fluid challenge technique (volume, infusion rate, type of fluid used and timing of assessment of the haemodynamic response), studies which included a clear definition of fluid responsiveness, and studies where the numbers of responders and non-responders to the fluid challenge were stated. Only studies published as full-text articles, published in English and in an indexed journal were included. Reviews, case reports and studies published in abstract form were excluded. We excluded studies involving pregnant women and children, studies where more than one fluid challenge was performed in the same patient, studies involving passive leg raising without use of a fluid challenge technique, studies where more than one fluid type was used whilst reporting a single result, studies using a continuous infusion of fluid, and studies where the fluid responsiveness was assessed only after a period of 60 minutes or more following completion of fluid challenge. Studies reporting more than one type of fluid challenge with a full description of results for each type of fluid challenge used were included for analysis as two separate studies. Studies reporting more than one type of fluid challenge (i.e., colloids and crystalloids) without a full description of results for each type of fluid challenge were excluded from the relevant part of the analysis (i.e., type of fluid).

Search strategy and data extraction

Three of the authors (LT, DA and DB) conducted a computerised search of the MEDLINE and Embase databases in February 2016. The terms included for the research were used in the following Boolean operators: ‘fluid challenge’ OR ‘fluid bolus’ OR ‘fluid therapy’ OR ‘fluid responsiveness’ OR ‘fluid resuscitation’ AND ‘intensive care’ OR ‘critical care’ OR ‘operative theatre’ OR ‘anaesthesia’ AND ‘stroke volume’ OR ‘cardiac output’ OR ‘cardiac index’ OR ‘stroke volume variation’ OR ‘pulse pressure variation’ OR ‘stroke pressure variation’. The search was filtered by language, the age of participants (adults) and the availability of full-text articles using the native filter function of each database used. Titles and abstracts of the trials identified in the search were independently reviewed and pooled for further screening. The full text of each trial identified was analysed, and each reviewer compiled a list of studies that met the inclusion criteria. Each review author’s list was compared, and any disagreement was resolved through discussions until a consensus was reached among all review authors. The following data were extracted from each study: volume of fluid used in the fluid challenge, duration of the infusion, type of fluid used, definition of fluid responsiveness, methodology used for the fluid responsiveness assessment, characteristics of the patients enrolled in the study, clinical environment in which the study was performed, number of patients included in the study, and percentage of ‘fluid responders’. Data were extracted independently by three authors (LT, DA and DB) and verified by another author (HDA). The identification, screening and inclusion of studies in this review are summarised in a Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) diagram in Fig. 1. A PRISMA checklist is also reported in Additional file 1.
Fig. 1

Flowchart of selection process of studies. FC Fluid challenge

Flowchart of selection process of studies. FC Fluid challenge

Statistical analysis

Data were examined graphically and statistically (Shapiro-Wilk test) to understand the distribution and nature of each variable. Data are presented as mean and 95% CI when normally distributed or as median and IQR for non-parametric data. Not all the studies reported the data required for the analysis of all the outcomes. Whenever any data were missing, only those studies with the data reported for the relevant analysis were included. Not imputation technique was applied. The primary outcome of the study was the difference in means of proportion of fluid responders (PR). The included studies were grouped into three categories on the basis of volume used for the fluid challenge: <500 ml, 500 ml and >500 ml. Studies were grouped into three categories for the duration of the fluid infusion: <15 minutes, between 15 and 30 minutes and ≥30 minutes. Cut-off values for the duration and volume of fluids infused were defined following review of the literature. The types of fluid used were grouped into two categories: colloids and crystalloids. Two-way independent analysis of variance (ANOVA) was conducted to compare means and variances between groups using as second variable (the setting of the study: ICU vs theatre), given the potential different pathophysiology of these two groups and the potential impact on the PR. Bootstrapping was conducted using 1000 samples and bias-corrected and accelerated. When assumptions for two-way independent ANOVA were not met, one-way independent ANOVA results are reported. Post hoc test results are reported with Bonferroni correction for multiple comparisons. Statistical significance was considered at a p value <0.05. Statistical analysis was performed using IBM SPSS Statistics version 24 software (IBM, Armonk, NY, USA).

Results

A total of 363 titles were identified through PubMed, and 163 were identified through Embase. After removal of duplications, 404 titles were collected for the analysis (Fig. 1). Screening by title and abstract excluded 233 studies, and 171 studies were selected for full-text assessment. Three studies were identified by snowballing. Eighty-five studies were selected for the final analysis. Two different sets of data were extracted from three studies because two different fluid challenge techniques were reported with the respective proportions of responders and non-responders. In total, 88 sets of data extracted from 85 studies with an aggregated 3601 patients were analysed (Table 1).
Table 1

Description of fluid challenge characteristics from the studies included in the analysis

AuthorYearSettingNType of fluidVolumeRate or infusion timeRespondersEnd-pointMethod of assessmentTime of assessment
Auler [20]2008ICU59Crystalloid20 mL/Kg20 min39CI > =15%PACPost Hoc
Barbier [21]2004ICU20Colloids7 mL/Kg30 min10CI > =15%TTEPost Hoc
Belloni [22]2007Theatre19Colloids7 mL/Kg5 min11CI > 15%PACPost Hoc
Biais [23]2010Theatre27Colloids500 mL10 min16CO > 15%Vigileo3 min
Biais [24]2008ICU35Colloids20 mL x BMI20 min17CO > =15%Vigileo/TTEPost Hoc
Biais [25]2012ICU35Crystalloid500 mL15 min19SV > =15%TTE1 min
Cannesson [26]2009Theatre25Colloids500 mL10 min17CI > 15%Vigileo3 min
Cannesson [27]2008Theatre25Colloids500 mL10 min16CI > =15%PAC4 min
Cannesson [28]2007Theatre25Colloids500 mL10 min15CI > 15%PAC3 min
Cecconi [29]2012ICU31Colloids250 mL5 min12SV > 15%LiDCOPost Hoc
Charbonneau [30]2014ICU44Colloids7 mL/Kg15 min26CI > =15%TOEPost Hoc
De Backer [31]2005ICU60Cryst/coll500 & 1000 mL30 min33CI > =15%PACPost Hoc
De Waal [32]2009Theatre18Colloids10 mL/Kg10 min15SVI > =12%PiCCOPost Hoc
De Waal [32]2009ICU22Colloids10 mL/Kg10 min11SVI > =12%PiCCOPost Hoc
Desgranges [33]2011Theatre28Colloids500 mL10 min19CI > =15%PAC5 min
Dufour [34]2011ICU39Crystalloids500 mL5-10 min17SV > =15%PiCCOPost Hoc
Feissel [35]2004ICU39Colloids8 mL/Kg20 min16CI > 15%TTE1 min
Fellahi [36]2012ICU25Colloids500 mL15 min14CI > =15%PiCCO10 min
Fellahi [37]2013ICU50Colloids500 mL15 min37CI > =15%PiCCO10 min
Fellahi [38]2012ICU25Colloids500 mL15 min21CI > =15%PiCCOPost Hoc
Fischer [39]2013ICU80Colloids500 mL15 min57CI > =15%PICCO10 min
Fischer [40]2014ICU50Colloids500 mL15 min41CI > =15%PiCCO10 min
Fischer [41]2013ICU37Colloids500 mL15 min27CI > =15%PiCCO10 min
Geerts [42]2011ICU24Colloids500 mLN/A17CO > =10%PAC2-5 min
Guarracino [43]2014ICU50Crystalloid7 mL/Kg30 min30CI > =15%Most CarePost Hoc
Guerin [44]2015ICU30Crystalloid500 mL10 min15CI > =15%PiCCOPost Hoc
Guinot [45]2012Theatre90Crystalloid500 mL10 min53SV > 15%TOEPost Hoc
Guinot [46]2015Theatre73Crystalloid500 mL10 min27SV > =15%ICGPost Hoc
Guinot [47]2014Theatre61Crystalloid500 mL10 min38SV > 15%ODM1 min
Guinot [48]2014Theatre42Crystalloid500 mL10 min28SV > 15%ODMPost Hoc
Heenen [49]2006ICU21Cryst/coll500 & 1000 ml30 min9CO > =15%PAC/ PiCCO15 min
L’Hermite [50]2013Theatre27Colloid250 mL2-3 min17SVI > =10%TOE2 min
L’Hermite [50]2013Theatre23Crystalloid250 mL2-3 min14SVI > =10%TOE2 min
Hong [51]2014Theatre59Colloids6 mL/Kg10 min29CI > =15%VigileoPost Hoc
Huang [52]2008ICU22Colloids500 mL10 ml/kg/h10CI > =15%PiCCOPost Hoc
Jung [53]2012A&E26Colloids7 mL/Kg30 min17SVI > 10%TOE1 min
Khwannimit [54]2012ICU42Colloids500 mL30 min24SVI > =15%VigileoPost Hoc
Kuiper [55]2013ICU37Colloidsup to 200 mL90 min26CI > =15%PiCCOPost Hoc
Kupersztych-Hagege [56]2013ICU48Crystalloid500 mL10 min19CO > =15%PiCCOPost Hoc
Lakhal [57]2012ICU112Colloids500 mL30 min44CO > =10%PiCCO1 min
Lakhal [58]2013ICU130Crystalloid500 mL30 min48CO > 10% orCO >15%PiCCO1 min
Lamia [59]2007ICU24Crystalloid500 mL15 min13SVI > =15%TTEPost Hoc
Lanspa [60]2012ICU14Crystalloid10 mL/Kg<20 min5CI > =15%TTEPost Hoc
Lee [61]2007Theatre20Colloids7 mL/Kg1 mL/Kg/min11SVI > 10%TOE1 min
Loupec [62]2011ICU40Colloids500 mL10 min21CO > =15%TTEPost Hoc
Machare-Delgado [63]2011ICU25Crystalloid500 mL10 min8SV > =10%TTE30 min
Mahjoub [64]2009ICU35Colloids500 mL30 min23SV > =15%TTE5 min
Maizel [65]2007ICU34Crystalloid500 mL15 min17CO > =10%TTEPost Hoc
Mallat [66]2015ICU49Colloids100 + 500 mL15 min22CI > =15%PiCCOPost Hoc
Mekontso-Dessap[67]2006ICU37Colloids500 mL15-30 min15CI > =15%PACPost Hoc
Monge [68]2009ICU30Colloids500 mL30 min11SVI > =15%Vigileo1 min
Monge [69]2009ICU38Colloids500 mL30 min19SVI > =15%Vigileo1 min
Monnet [70]2011ICU228Crystalloid500 mL20 min142CO > =15%PiCCOPost Hoc
Monnet [71]2012ICU38Crystalloid500 mL30 min16SVI > =15%Nexfin1 min
Monnet [72]2013ICU51Crystalloid500 mL30 min25CI > =15%PiCCOPost Hoc
Monnet [73]2006ICU71Crystalloid500 mL10 min37CO > =15%TOEPost Hoc
Monnet [74]2012ICU39Crystalloid500 mL30 min17CI > =15%PiCCOPost Hoc
Monnet [75]2012ICU54Crystalloid500 mL20 min30CI > =15%PiCCOPost Hoc
Moretti [76]2010ICU29Colloids7 mL/kg30 min17CI > =15%PiCCOPost Hoc
Muller [77]2010ICU57Cryst /coll250 or 500 mL999 mL/h41SVI > =15%PAC/ PiCCO10 min
Natalini [78]2006ICU22Colloids500 mL30 min13CI > =15%PACPost Hoc
Oliveira-costa [79]2012ICU37Cryst&coll500 & 1000 mL30 min17CI > =15%PACPost Hoc
Perner [80]2006ICU30Crystalloid500 mL30 min14CI > 10%PiCCOPost Hoc
Pierrakos [81]2012ICU29Crystalloid1000 mL30 min13CI > 10%PACPost Hoc
Pierrakos [81]2012ICU22Colloids500 mL30 min11CI > 10%PACPost Hoc
Pranskunas [82]2013ICU50Cryst/coll500 mL30 min34SVI > =10%PiCCO /PACPost Hoc
Preau [83]2010ICU34Colloids500 mL30 min14SVI > =15%TTEPost Hoc
Royer [84]2015ICU16Crystalloid500 mL30 min9CO > =15%TTEPost Hoc
Saugel [85]2013ICU24Crystalloid7 mL/Kg30 min7CI > =15%PICCOPost Hoc
Siswojo [86]2014Theatre29Colloids500 mL5 min17SVI > =10%TOE1 min
Smorenberg [87]2013ICU32Colloids250 mL1000 ml/h14SVI > 10%PAC30 min
Soltner [88]2010ICU40Colloids500 mL20 min16CI > 12%PACPost Hoc
Song [89]2014Theatre40Colloids6 mL/KgN/A23SVI > =15%PAC1 min
Sturgess [90]2010ICU10Colloids250 mL15 min4SV > 15%USCOM5 min
Suehiro [91]2012ICU80Crystalloid500 mL30 min38CI > =15%PACPost Hoc
Taton [92]2013ICU33Cryst/coll500-1000 mL15-30 min17CO > =10%TTE / Nexfin1 min
Vallee [93]2005ICU51Colloids4 mL/Kg15 min20CO > 15%TOEPost Hoc
Vallee [94]2009ICU84Colloids6 mL/Kg30 min39CI > 15%PiCCOPost Hoc
van Haren [95]2012ICU12Cryst/coll250 mL15 min4CI > 10%PiCCO30 min
Yazigi [96]2012Theatre60Colloids7 mL/Kg20 min41SVI > =15%PAC2 min
Viellard-Baron [97]2004ICU66Colloids10 mL/Kg30 min20CI > =11%TTEPost Hoc
Vistisen [98]2009ICU23Colloids500 mL90 min17CI > 15%PACPost Hoc
Wiesenack [99]2005Theatre20Colloids7 mL/Kg1 mL/kg/min13SVI > =20%PiCCO1 min
Wiesenack [100]2005Theatre21Colloids7 mL/Kg1 mL/Kg/min19SVI > =10%PAC12 min
Wilkman [101]2014ICU20Colloids6 mL/KgN/A6CO > 15%TOE1 min
Xiao-Ting [102]2015ICU48Crystalloid500 mL15 min34CI > =10%PiCCOPost Hoc
Zimmermann [103]2010Theatre20Colloids7 mL/Kg1 mL/Kg/min15SVI > =15%Vigileo1 min

ICU intensive care unit, CO cardiac output, CI cardiac index, SV stroke volume, SVI stroke volume index, TOE trans-oesophageal echocardiography, TTE trans-thoracic echocardiography, PAC pulmonary artery catheter, min minutes, USCOM transcutaneous aortic Doppler, ICG impedance cardiography, ODM oesophageal Doppler monitoring, N/A data not available, Post Hoc immediate reading

Description of fluid challenge characteristics from the studies included in the analysis ICU intensive care unit, CO cardiac output, CI cardiac index, SV stroke volume, SVI stroke volume index, TOE trans-oesophageal echocardiography, TTE trans-thoracic echocardiography, PAC pulmonary artery catheter, min minutes, USCOM transcutaneous aortic Doppler, ICG impedance cardiography, ODM oesophageal Doppler monitoring, N/A data not available, Post Hoc immediate reading The definition of positive response to a fluid challenge varies substantially across studies (Additional file 1: Figure S1). Physiological parameters used to assess fluid response include cardiac index (47.5%), CO (17.1%), SV (11.0%) and stroke volume index (24.3%). The increment from baseline measurements in physiological parameters deemed to have a positive response to a fluid challenge was either 10% (25.5% of studies) or 15% (74.5% of studies). The most frequent definition of a positive response to a fluid challenge was an increase in cardiac index of at least 15% from baseline (n = 33 [40.2%]). CO was estimated using several different technologies (Additional file 1: Figure S2), with pulse index continuous CO (PiCCO; PULSION Medical Systems, Feldkirchen, Germany) used most frequently (31.7% of studies), followed by the pulmonary artery catheter (PAC; 22% of studies) (Table 1). There was a higher percentage of responders in studies performed in the operating room (63.4%, 95% CI 58.3–68.4) than in the ICU (51.5%, 95% CI 48.2–54.8, p < 0.001).

Volume of fluid challenge

The volumes of fluid administered for the fluid challenge varied from <500 ml (n = 8 [12.7%]) to 500 ml (n = 50 [79.4%]) and >500 ml (n = 5 [7.9%]). Twenty-four studies were excluded from this analysis because the volume was described as milligrams per kilogram and the participants’ body weight was not reported. The estimated mean PR values were 54.4% (95% CI 46.9–62.7) among patients receiving <500 ml, 57.2% (95% CI 52.9–61.0) among patients receiving 500 ml and 60.5% (95% CI 35.9–79.2) among patients receiving >500 ml. There was no difference in the PR values between groups of patients receiving different volumes of fluid challenges [F(2,57) = 0.35, p =0.71] (Additional file 1: Figure S3). The PR observed in studies where the fluid was prescribed as a fixed volume (n = 63 [72.4%]) and where fluid volume was adjusted for body weight (n = 24 [27.6%]) was similar [F (1,83) = 0.02, p = 0.88].

Type of fluid

Twenty-six (35%) studies used crystalloids, and 50 (65%) used colloids. Nine studies were excluded from the analysis because they used both types of fluids. Among patients receiving crystalloids, 53.5% (95% CI 45.4–58.5) were responders, as compared with 59.0% (95% CI 55.5–62.9) in the group receiving colloids (Additional file 1: Figure S4). The type of fluid used did not affect the proportion of patients responding to a fluid challenge [F(1,76) = 2.19, p = 0.14].

Duration of infusion

The time of infusion was <15 minutes in 24 studies (27.3%), between 15 and 29 minutes in 26 studies (29.5%), and ≥30 minutes in 29 studies (33%). Nine studies (10.2%) did not report duration of infusion. Where the fluid challenge was administered for <15 minutes, between 15 and 29 minutes, and >30 minutes, the proportions of patients deemed to be fluid responders were 59.2% (95% CI 54.2–64.1), 57.7% (95% CI 52.4–62.4), and 49.9% (95% CI 45.6–54) respectively. The duration of the fluid infusion affects the proportion of fluid responders [F(2,73) = 3.63, p = 0.03] (Fig. 2). The PR to a fluid challenge given in ≥30 minutes was lower than the PR when the fluid challenge was given in <15 minutes (p = 0.045). The proportion of patients responding to a fluid challenge that was administered in <15 minutes and between 15 and 30 minutes was similar (p = 1.0).
Fig. 2

Comparison of the proportion of responders (%) by duration of the infusion used for the fluid challenge. Planned contrast analysis revealed a significant difference between the third group (≥30 minutes) and the other two groups

Comparison of the proportion of responders (%) by duration of the infusion used for the fluid challenge. Planned contrast analysis revealed a significant difference between the third group (≥30 minutes) and the other two groups

Timing of assessment

The assessment of response to a fluid challenge was at the point of administration (n = 50 [58.1%]), between 1 and 10 minutes (n = 31 [36.8%]), or >10 minutes (n = 5 [5.8%]) after completion of the fluid challenge. Where fluid responsiveness was assessed at the point of administration, between 1 and 10 minutes, and >10 minutes after completion of the fluid challenge, 53.9% (95% CI 49.8–57.7), 57.7% (95% CI 52.9–62.7), and 52.3% (95% CI 32–90.5) of patients had a positive response, respectively. The time of assessment of fluid response did not affect the PR [F(2,80) = 0.76, p = 0.47] (Fig. 3).
Fig. 3

Comparison of the proportion of responders (%) by assessment time after the fluid challenge

Comparison of the proportion of responders (%) by assessment time after the fluid challenge

Discussion

We demonstrate that the duration of the fluid infusion in a fluid challenge has a significant influence on fluid responsiveness. This confirms our hypothesis that the proportion of patients deemed to respond to a fluid challenge is influenced by the characteristics of a fluid challenge technique, in addition to intravascular filling, vascular tone or ventricular contractility. Other aspects of the fluid challenge, including the volume, type of fluid or assessment time, do not affect the proportion of patients who are fluid responders. Currently, no consensus exists on how to perform an effective fluid challenge. This study highlights the need for a standardised technique for research and clinical purposes. Fluid challenge is one of the commonest interventions in critical care medicine. A recent international observational study [6] including 2279 patients from 311 centres highlighted the variability in this intervention. In contrast to our results, crystalloids were more frequently used (74.0%), with balanced solutions used in most of cases (53.3%). The study was undertaken following the publication of large, randomised clinical trials advocating the use of crystalloids over colloids [7-10]. Up to two to three times as much crystalloid as colloid may be required to maintain intravascular volume, owing to differences in intravascular half-life [11]. Fluid challenges consisting of colloids compared with crystalloids are associated with a more linear increase in cardiac filling and SV compared with crystalloids [12]. However, the theoretical benefits of colloids over crystalloids in critically ill patients with altered endothelial permeability have not been borne out in clinical trials. Starch-based solutions are associated with increased rates of acute kidney injury and coagulopathy compared with crystalloid solutions [7, 8, 13]. Human albumin solution is associated with a poorer prognosis in patients with traumatic brain injury [14] and is not associated with any survival benefit compared with colloids in patients with sepsis [15]. We did not find any difference in PR by the type of fluid used for a fluid challenge. If the time of assessment of fluid responsiveness is immediately after fluid infusion or in the first minutes, it is unlikely that the type of fluid would make any difference, because in both cases (colloids/crystalloids) it is likely that a big proportion of the volume infused will remain in the intravascular compartment. If the assessment of fluid responsiveness were performed later, it would be possible to observe some differences because theoretically colloids remain longer in the intravascular space than crystalloids do. This would require further investigation. Consistent with a recent large observational study [6], the most common volume of fluid used for a fluid challenge was 500 ml. However, there was significant variability in the volume of fluid used. The total volume of fluid administered to determine fluid responsiveness varies widely, from 4 to 20 ml/kg or 100 to 1000 ml. Whilst fluid challenge with larger volumes may have serious clinical consequences, such as pulmonary oedema, very small volumes may not represent a cardiovascular challenge. The clinical challenge lies in determining the optimal volume of fluid required to optimise cardiac performance and tissue perfusion. The effect of the volume of fluid challenge was recently investigated by our group [16]. Eighty patients were administered four different volumes as fluid challenges (1, 2, 3 and 4 ml/kg of crystalloids) over 5 minutes. Pmsf-arm, a surrogate of the mean systemic filling pressure (Pmsf), was measured. Pmsf itself is a measure of effective intravascular filling independent of cardiac function [17]. This technique has been shown to be precise for a change of 14% from baseline [18]. The minimal volume required to achieve an increment of 14% was 4 ml/kg. Importantly, the dose of fluids used affects the change in CO and consequently the proportion of patients considered to be responsive to a fluid challenge. Differences in the volume of fluid required to achieve a positive fluid response between this study and other studies in this meta-analysis may be explained by the heterogeneity in the methods used for estimating CO, thresholds defining a positive response, patient case mix and illness severity. The optimal rate of fluid infusion is unknown. The researchers in the Fluid Challenges in Intensive Care (FENICE) study [6] reported a median infusion time of 24 minutes to administer a fluid challenge. Our results suggest that the duration of the fluid infusion has a significant effect on observed fluid responders. An infusion time <30 minutes is more effective in detecting fluid responders than infusion times >30 minutes. These results are consistent with our understanding of cardiovascular physiology, where a rapid intravenous fluid bolus will rapidly increase venous return to increase right ventricular end-diastolic volume. A slower rate of infusion, however, would result in a lower increase of venous return and result in a lower rise in SV, thus becoming less effective. Prospective clinical studies are warranted before these findings can be incorporated into routine clinical practice. Pooled data in this meta-analysis indicate that the timing of assessment of a fluid challenge does not have a significant impact on detecting a positive response. This is in contrast to previous work by our group in which the haemodynamic effect of a 250-ml crystalloid fluid challenge was almost completely dissipated after 10 minutes from the end of the fluid challenge [19]. In this meta-analysis, many studies used PAC as a method to estimate CO, which cannot accurately detect immediate changes in SV. This makes it more challenging to study the immediate physiological effect of the fluid challenge on SV. A more sustained response would intuitively be clinically favourable. However, this is likely to be influenced by the patient’s underlying pathophysiology in addition to the fluid challenge technique itself. In this study, it is possible to comment only on the physiological effect of the fluid challenge, because the clinical effect is beyond the scope of this review. Another possible explanation for the discrepancy in results is the distribution of studies between categories of the assessment time: only five studies reported a time of assessment after 10 minutes, which is the time point at which we have previously observed complete dissipation of the haemodynamic effect of the fluid challenge. As with all retrospective observational studies, the data presented must be interpreted in the context of its limitations. There is likely to be significant heterogeneity in the patient case mix, illness severity and overall management. Different permutations of the rate of fluid administered, the type and volume of fluid, method of haemodynamic assessment, threshold for definition of responsiveness, and the time of assessment of fluid challenge does not allow any strong conclusions to be made. Furthermore, we have not accounted for the different methods of haemodynamic monitoring used. However, we highlight the heterogeneity in practice of this commonly applied technique and the need for further investigation to elucidate the clinical effect of the different aspects of a fluid challenge.

Conclusions

The proportion of patients who respond to a fluid challenge is dependent on the particularities of the technique used. A rapid infusion of fluid volume increases the proportion of patients with a positive response. However, the type and volume of fluid or the time of assessment does not appear to have any effect on the detection of fluid responders. This study highlights that standardisation of the fluid challenge technique is needed for contextualisation of clinical trial data and patient management.
  102 in total

1.  Pleth variability index to monitor the respiratory variations in the pulse oximeter plethysmographic waveform amplitude and predict fluid responsiveness in the operating theatre.

Authors:  M Cannesson; O Desebbe; P Rosamel; B Delannoy; J Robin; O Bastien; J-J Lehot
Journal:  Br J Anaesth       Date:  2008-06-02       Impact factor: 9.166

2.  Bioreactance is not reliable for estimating cardiac output and the effects of passive leg raising in critically ill patients.

Authors:  E Kupersztych-Hagege; J-L Teboul; A Artigas; A Talbot; C Sabatier; C Richard; X Monnet
Journal:  Br J Anaesth       Date:  2013-08-28       Impact factor: 9.166

Review 3.  Can (and should) the venous tone be monitored at the bedside?

Authors:  Hollmann D Aya; Maurizio Cecconi
Journal:  Curr Opin Crit Care       Date:  2015-06       Impact factor: 3.687

4.  Changes in end-tidal CO2 could predict fluid responsiveness in the passive leg raising test but not in the mini-fluid challenge test: A prospective and observational study.

Authors:  Wang Xiao-ting; Zhao Hua; Liu Da-wei; Zhang Hong-min; He Huai-wu; Long Yun; Chai Wen-zhao
Journal:  J Crit Care       Date:  2015-06-01       Impact factor: 3.425

5.  Stroke volume variation as a predictor of fluid responsiveness in patients undergoing airway pressure release ventilation.

Authors:  K Suehiro; H Rinka; J Ishikawa; A Fuke; H Arimoto; T Miyaichi
Journal:  Anaesth Intensive Care       Date:  2012-09       Impact factor: 1.669

6.  Inferior vena cava variation compared to pulse contour analysis as predictors of fluid responsiveness: a prospective cohort study.

Authors:  Enrique Machare-Delgado; Matthew Decaro; Paul E Marik
Journal:  J Intensive Care Med       Date:  2011 Mar-Apr       Impact factor: 3.510

7.  Changes in R-Wave amplitude in DII lead is less sensitive than pulse pressure variation to detect changes in stroke volume after fluid challenge in ICU patients postoperatively to cardiac surgery.

Authors:  Christophe Soltner; Romain Dantec; Frédéric Lebreton; Julien Huntzinger; Laurent Beydon
Journal:  J Clin Monit Comput       Date:  2010-02-04       Impact factor: 2.502

8.  Hydroxyethyl starch or saline for fluid resuscitation in intensive care.

Authors:  John A Myburgh; Simon Finfer; Rinaldo Bellomo; Laurent Billot; Alan Cass; David Gattas; Parisa Glass; Jeffrey Lipman; Bette Liu; Colin McArthur; Shay McGuinness; Dorrilyn Rajbhandari; Colman B Taylor; Steven A R Webb
Journal:  N Engl J Med       Date:  2012-10-17       Impact factor: 91.245

9.  Passive leg raising predicts fluid responsiveness in the critically ill.

Authors:  Xavier Monnet; Mario Rienzo; David Osman; Nadia Anguel; Christian Richard; Michael R Pinsky; Jean-Louis Teboul
Journal:  Crit Care Med       Date:  2006-05       Impact factor: 7.598

10.  Mixed venous O2 saturation and fluid responsiveness after cardiac or major vascular surgery.

Authors:  Arjan N Kuiper; Ronald J Trof; A B Johan Groeneveld
Journal:  J Cardiothorac Surg       Date:  2013-09-22       Impact factor: 1.637

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1.  Predictive values of pulse pressure variation and stroke volume variation for fluid responsiveness in patients with pneumoperitoneum.

Authors:  Marko Zlicar; Vesna Novak-Jankovic; Rok Blagus; Maurizio Cecconi
Journal:  J Clin Monit Comput       Date:  2017-11-17       Impact factor: 2.502

2.  Update on the assessment of fluid responsiveness.

Authors:  Koichi Suehiro
Journal:  J Anesth       Date:  2020-01-07       Impact factor: 2.078

Review 3.  Current practice and evolving concepts in septic shock resuscitation.

Authors:  Jan Bakker; Eduardo Kattan; Djillali Annane; Ricardo Castro; Maurizio Cecconi; Daniel De Backer; Arnaldo Dubin; Laura Evans; Michelle Ng Gong; Olfa Hamzaoui; Can Ince; Bruno Levy; Xavier Monnet; Gustavo A Ospina Tascón; Marlies Ostermann; Michael R Pinsky; James A Russell; Bernd Saugel; Thomas W L Scheeren; Jean-Louis Teboul; Antoine Vieillard Baron; Jean-Louis Vincent; Fernando G Zampieri; Glenn Hernandez
Journal:  Intensive Care Med       Date:  2021-12-15       Impact factor: 17.440

4.  Management of circulatory shock and hypotension.

Authors:  Kay Choong See
Journal:  Singapore Med J       Date:  2022-05       Impact factor: 3.331

Review 5.  Prediction of fluid responsiveness in ventilated patients.

Authors:  Mathieu Jozwiak; Xavier Monnet; Jean-Louis Teboul
Journal:  Ann Transl Med       Date:  2018-09

Review 6.  Role of albumin in the preservation of endothelial glycocalyx integrity and the microcirculation: a review.

Authors:  Cesar Aldecoa; Juan V Llau; Xavier Nuvials; Antonio Artigas
Journal:  Ann Intensive Care       Date:  2020-06-22       Impact factor: 6.925

7.  Accuracy of Passive Leg Raising Test in Prediction of Fluid Responsiveness in Children.

Authors:  Ahmed A El-Nawawy; Passant M Farghaly; Hadir M Hassouna
Journal:  Indian J Crit Care Med       Date:  2020-05

8.  Impact of Intravenous Fluid Challenge Infusion Time on Macrocirculation and Endothelial Glycocalyx in Surgical and Critically Ill Patients.

Authors:  Jiri Pouska; Vaclav Tegl; David Astapenko; Vladimir Cerny; Christian Lehmann; Jan Benes
Journal:  Biomed Res Int       Date:  2018-11-01       Impact factor: 3.411

9.  Early Effects of Passive Leg-Raising Test, Fluid Challenge, and Norepinephrine on Cerebral Autoregulation and Oxygenation in COVID-19 Critically Ill Patients.

Authors:  Chiara Robba; Antonio Messina; Denise Battaglini; Lorenzo Ball; Iole Brunetti; Matteo Bassetti; Daniele R Giacobbe; Antonio Vena; Nicolo' Patroniti; Maurizio Cecconi; Basil F Matta; Xiuyun Liu; Patricia R M Rocco; Marek Czosnyka; Paolo Pelosi
Journal:  Front Neurol       Date:  2021-06-16       Impact factor: 4.003

10.  Anesthesia-Associated Relative Hypovolemia: Mechanisms, Monitoring, and Treatment Considerations.

Authors:  Jessica Noel-Morgan; William W Muir
Journal:  Front Vet Sci       Date:  2018-03-16
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