Skip to main content
Download PDF

Association between fluid intake and extubation failure in intensive care unit patients with negative fluid balance: a retrospective observational study

BMC Anesthesiology volume 22, Article number: 170 (2022) Cite this article

Abstract

Background

Negative fluid balance (NFB) is associated with reduced extubation failure. However, whether achieving more NFB can further improve extubation outcome has not been investigated. This study aimed to investigate whether more NFB and restricted fluid intake were associated with extubation success.

Methods

We performed a retrospective study of adult patients with mechanical ventilation (MV) admitted to Medical Information Mart for Intensive Care (MIMIC-III) from 2001 to 2012. Patients with duration of MV over 24 hours and NFB within 24 hours before extubation were included for analysis. The primary outcome was extubation failure, defined as reintubation within 72 hours after extubation. Association between fluid balance or fluid intake and extubation outcome were investigated with multivariable logistic models.

Results

A total of 3433 extubation events were recorded. 1803 with NFB were included for the final analysis, of which 201(11.1%) were extubation failure. Compared with slight NFB (− 20 to 0 ml/kg), more NFB were not associated improved extubation outcome. Compared with moderate fluid intake (30 to 60 ml/kg), lower (< 30 ml/kg, OR 0.75, 95% CI [0.54, 1.05], p = 0.088) or higher (> 60 ml/kg, OR 1.63, 95% CI [0.73, 3.35], p = 0.206) fluid intake was not associated with extubation outcome. Duration of MV, chronic obstructive pulmonary disease (COPD), hypercapnia, use of diuretics, and SAPSIIscore were associated with extubation failure.

Conclusions

More NFB or restricted fluid intake were not associated with reduced extubation failure in patients with NFB. However, for COPD patients, restricted fluid intake was associated with extubation success.

Peer Review reports

Introduction

Extubation is one of the critical procedures during the intensive care unit (ICU) stay in patients surviving from mechanical ventilation (MV) [1]. Extubation failure, defined as a need for reintubation within certain times after planned extubation, occurs in 10 to 20% of patients and is associated with extremely poor outcomes [2,3,4,5]. However, the pathophysiology remains uncertain [6].

Fluid balance, which has significant impact on clinical outcomes in several critically ill populations, has been found to be associated with extubation outcome [7,8,9]. Compared with positive fluid balance (PFB) before extubation, negative fluid balance (NFB) is associated with improved extubation outcomes [10,11,12]. However, most of the current studies focused on the comparison between PFB and NFB; whether achieving more NFB could further improve extubation outcomes has not been investigated. Furthermore, since conservative strategy of fluid management could improve lung function and shorten the duration of mechanical ventilation [13,14,15]; whether restricted fluid management is associated with extubation success in patients with NFB seems significantly important for weaning and extubation processes.

Based on the current evidence, the aims of the present study were to investigate whether more NFB and restricted fluid intake are associated with reduced extubation failure in mechanically ventilated patients planned for extubation with NFB.

Methods

Setting

This study used data stored in the high-resolution database, the Medical Information Mart for Intensive Care (MIMIC-III) database (mimic.physionet.org), which comprises 61,532 ICU admissions to Beth Israel Deaconess Medical Center from 2001 to 2012. The elaborate description of MIMIC-III is available elsewhere [16]. The MIMIC-III was exempt from institutional review board (IRB) approval due to the retrospective design, lack of direct patient intervention, and the security schema. After completing a National Institutes of Health (NIH) web-based training course, the author (certification number: 28795067) was approved to access to the database for research aims.

Study population

All patients in the MIMIC-III database were eligible for inclusion. As for those who admitted to ICU for more than once, only the first stay was taken into consideration. We included adult patients with the first mechanical ventilation in the ICU. The exclusion criteria were: (1) Duration of mechanical ventilation < 24 hours, (2) Using the continuous renal replacement treatment (CRRT) due to the influence of calculating fluid balance, (3) Tracheotomy before or within the three days after extubation, (4) Self-extubation, (5) Missing data of fluid balance.

Clinical variables and outcomes

Demographics (age, gender, ethnicity (White, Asian, Black, Hispanic/Latino, Other), weight), comorbidities (diabetes mellitus, hypertension, chronic heart failure, chronic obstructive pulmonary disease (COPD), liver disease, renal insufficiency, and tumor), and ICU types were extracted from the database. Furthermore, sequential organ failure assessment (SOFA) score, and simplified acute physiology score II (SAPSII) were calculated for each patient. We used the MIMIC Code Repository to define many concepts in MIMIC-III database [17]. Rapid shallow breathing index was defined as respiratory rate divided by tidal volume. Diuretics use and blood products transfusion were defined as any diuretics or blood products used within 24 hours before extubation. Duration of mechanical ventilation was defined as the difference between time of extubation and start time of mechanical ventilation.

Fluid intake and fluid output were assessed during the 24-hour period prior to extubation. Fluid balance (FB) was calculated as total fluid intake minus total fluid output. Negative fluid balance (NFB) was defined as FB < 0. Fluid intake and FB were categorized into three levels, respectively. 30 ml/kg/24 hours was used as one interval for fluid intake: level 1 (< 30 ml/kg/24 hours), level 2 (30 to 60 ml/kg/24 hours), and level 3 (> 60 ml/kg/24 hours); FB was categorized using 20 ml/kg/24 hours as one interval: level 1 (− 20 to 0 ml/kg/24 hours), level 2 (− 40 to − 20 ml/kg/24 hours), and level 3 (< − 40 ml/ kg/24 hours). Subgroup analyses were performed in patients with COPD or not and using diuretics or not.

The primary endpoint was extubation failure, defined as reintubation within 72 hours after extubation. The other study endpoints included hospital mortality, ICU length of stay, and hospital length of stay.

Statistical analysis

Continuous variables were shown as mean and standard deviation (SD) or median and interquartile range (IQR), compared using Student’s t test or Wilcoxon rank-sum test as appropriate. Categorical variables were reported as numbers and percentages, and were analyzed with Chi-square test or Fisher’s exact test as appropriate. As for missing data, missing rate were recorded and patients with missing variable were considered as a unique group.

First, a descriptive analysis was performed between extubation success and extubation failure patients both in the overall patients and the patients with NFB. Second, differences among three fluid intake levels were analyzed. Third, multivariate logistic regression models were built with variables of a p value < 0.20 identified by the univariate analysis or those were considered clinically important; Next, a stepwise backward elimination method was used to remove variables with p value > 0.1. Potential multicollinearity was tested using the variance inflation factor and goodness of fit was tested for all logistic regression models. Fourth, subgroup analyses were performed within patients with COPD or not and diuretics use or not with multivariable logistic regression models.

A two-sided P value of less than 0.05 was considered statistically significant. Data extraction was performed using PostgreSQL (version 10.5) and all statistical analyses were performed using the R software (version 3.6.1, www.r-project.org).

Results

After exclusion, a total of 3433 patients with extubation events were included for analysis, of which 1803 (52.5%) had NFB within 24 hours before extubation (Fig. 1). Compared with PFB, patients with NFB had lower rate of extubation failure (14% vs 11%, p = 0.028) (S-Table 1). In patients with NFB, the median age was 66 (IQR, 53–77) and 988 (55%) were male, and 201 (11.1%) patients had extubation failure. Extubation failure patients had higher percentage of COPD (33% vs 24, p = 0.01), higher RSBI (64 VS 59, p = 0.005), higher SAPS II score on the day of extubation (44 vs 41, p = 0.01), and higher percentage of diuretics use (51% vs 37%, p < 0.001). Compared with patients of extubation success, extubation failure patients also had longer duration of mechanical ventilation before extubation (106 vs 85 hours, p = 0.002), longer ICU and hospital length of stay, and higher hospital mortality (19% vs 11%, p = 0.001) (Table 1).

Fig. 1
figure 1

Flowchart of subject selection. MIMIC medical information mart for intensive care, CRRT continuous renal replacement therapy, ECMO extracorporeal membrane oxygenation, MV mechanical ventilation

Full size image
Table 1 Characteristics between extubation success and failure in patients with negative fluid balance
Full size table

Extubation failure patients had slightly higher total input (26 vs 24 ml/kg/24 hours, p = 0.048) than extubation success patients; However, the two groups had similar fluid balance. For patients with three levels of fluid intake, the percentage of extubation failure and hospital mortality were similar. However, higher fluid intake was associated with longer duration of mechanical ventilation before extubation, longer ICU and hospital length of stay and lower percentage of diuretics use (Table 2).

Table 2 Characteristics among fluid intake categories before extubation
Full size table

For multivariable logistic regression models, after adjusting for confounders, compared with slightly lower FB (− 20 to 0 ml/kg), more negative FB were not associated with extubation failure. Compared with moderate fluid intake (30 to 60 ml/kg), lower (OR 0.75, 95% CI [0.54, 1.05], p = 0.088) or higher (OR 1.63, 95% CI [0.73, 3.35], p = 0.206) fluid intake was not associated with extubaiton failure. Comorbidity of COPD and diuretics use were associated with extubation failure. Longer duration of mechanical ventilation had higher odds ratio for extubation failure. Higher RSBI had a trend of higher extubation failure, but was not statistically significant. Compared with normal PaCO2, high PaCO2 (> 45 mmHg) was associated with extubation failure (Table 3).

Table 3 Adjusted ORs for extubation failure using FB and fluid intake as design variables
Full size table

In the subgroup analyses, after adjusting for confounders, FB were not associated with extubation failure in any groups, including patients who received diuretics or had the comorbidity of COPD. However, in the COPD group, patients who received lower level (< 30 mL/kg) fluid intake had higher extubation success than those who received moderate level (30 to 60 ml/kg) fluid intake (OR 0.4, 95% CI [0.22, 0.73], p < 0.001, Fig. 2).

Fig. 2
figure 2

Subgroup analyses using negative fluid balance categories (A) and fluid intake categories (B) displaying the adjusted odds ratio (OR) for extubation failure. Of note, in COPD patients with negative fluid balance before extubation, lower fluid intake was associated with extubation success. COPD chronic obstructive pulmonary disease

Full size image

Discussion

In the present study, we found that compared with PFB, NFB was associated with extubation success; However, a more NFB was not associated with improved extubation outcome. Fluid intake within 24 hours before extubation was not associated extubation outcome in overall patients; However, for patients with COPD, lower fluid intake was associated with extubation success. Restricted fluid intake may improve extubation outcome for COPD patients with NFB. Duration of mechanical ventilation, comorbidity of COPD, hypercapnia, use of diuretics, and SAPSIIscore were associated with extubation failure. Fluid intake was associated duration of mechanical ventilation, ICU and hospital length of stay.

The effect of NFB on mortality has been described in critically ill patients [7, 8, 18, 19]. As for extubation outcome, PFB has been suggested as a risk factor for extubation failure. Upadya et al. found patients with NFB were more likely to be successfully weaned than those with PFB [10]. In the study of Vivar et al., PFB 24 hours prior to extubation is a good predictor of extubation failure [11]. A prospective study showed patients who had undergone the weaning protocol had higher probability of weaning success than those who had undergone weaning based in clinical practice. The first step of the institutional weaning protocol is avoidance of PFB for 24 hours prior to the weaning trial [20]. In the present study, PFB had higher percentage of extubation failure, which was in line with these studies. However, the current evidence mainly focused on comparison between PFB and NFB, and whether a more NFB could further increase extubation success NFB remains unclear.

The results of our study showed there was no significant association between the degree of NFB and extubation failure. That may be a complicated question. NFB is associated with extubation success; On the other hand, more NFB is not associated increased probability of extubation success. The potential mechanisms remain unclear. We speculated that the result of achieving NFB may be a surrogate of the recovery of cardiac and renal functions. With the stabilization of the hemodynamic conditions, the degree of NFB mainly depends on the previous fluid accumulation. However, neither patient fluid balance at admission or volume overload at admission could be retrospectively assessed. Also, the fluid balance during hospital stay prior to the period before extubation was unknown. In Dessap’s study [21], which is a multicenter randomized controlled trial, the B-type natriuretic peptide (BNP)-guided fluid management strategy had more negative cumulative and average daily fluid balance during weaning and increased the number of ventilator-free days. However, the BNP-guided group and the usual care group had similar fluid balance on the extubation day or the day after extubation, which suggested there may be less previous fluid accumulation. In addition, BNP-guided group and the usual care group had similar fluid intake during weaning, which suggested fluid intake may have little impact on weaning or extubation outcome.

Administration of diuretics in critically ill patients remains controversial. In the present study, diuretics was associated with extubation failure. Upadya et al. reported that administration of diuretics was associated with NFB, it was not associated with weaning outcomes [10]. A meta-analysis confirmed a conservative or deresuscitative strategy (active removal of fluid using diuretics or renal replacement therapy) resulted in increased ventilator-free days [14]. However, one retrospective cohort study reported that diuretic use was associated with increased mortality in patient with negative fluid balance [22]. Diuretics was significantly associated urine output and fluid balance; However, if the relationship between diuretics and extubation outcome is mediated by fluid balance, the effect of diuretics on extubation outcome could be obscure; Since the relationship between fluid balance and extubation outcome remains uncertain. Considering the substantial potential risks of diuretic administration, the administration of diuretics within 24 hours before extubation for NFB patients should be cautious.

In COPD patients with NFB, the present study showed compared with moderate fluid intake (30 to 60 ml/kg), lower fluid intake (0 to 30 ml/kg) within 24 hours before extubation was associated with extubation success. A prospective observational study found a significant association between PFB in the 48 hours before spontaneous breathing trial (SBT) and SBT failure, but not for the overall patients [23]. In patients with COPD, the exaggerated inspiratory fall of intrathoracic pressure and the increase of myocardial oxygen consumption may make these patients high risk of weaning-induced pulmonary edema and weaning failure [24,25,26].

The main advantage of the present study is the large sample size. The large size of the cohort allowed to adjust for several confounders. However, there are several limitations to the study. First, the study is a retrospective observational study, when considering the findings, its post hoc nature should be taken into account. Despite the confounders adjusted, several residual potential confounders may also influence extubation failure based on the plurality of often-intertwined mechanisms, such as the respiratory, circulatory, and neurological functions [27]. Second, the generalizability of the study may be in question because it was conducted at a single tertiary care hospital. In addition, there were no available data regarding the weaning protocol, although it is an institutional standard. Third, the net fluid balance and assessment of patients between ICU admission and 24 hours prior to extubation was not included. This period could be days to weeks and would likely have an impact on success or failure than simply looking at 24 hours before extubation, which may merit further research. Fourth, patients who underwent CRRT were excluded, the findings could not be generalized to these patients. Fifth, although we included admitting ICU types, which could not replace the admitting diagnoses. In addition, the reasons for reintubation were not available, which could also cause selected bias.

Conclusions

In patients with negative fluid balance, a more negative fluid balance or restricted fluid intake were not associated with extubation success. However, in COPD patients, restricted fluid intake was associated with extubation success.

Availability of data and materials

The data in the present study is available in the MIMIC-III database (mimic.mit.edu). Researchers can access to the database after the approval of PhysioNet.

References

  1. Thille AW, Richard JC, Brochard L. The decision to extubate in the intensive care unit. Am J Respir Crit Care Med. 2013;187(12):1294–302. https://doi.org/10.1164/rccm.201208-1523CI.

    Article  PubMed  Google Scholar 

  2. Epstein SK, Ciubotaru RL, Wong JB. Effect of failed extubation on the outcome of mechanical ventilation. Chest. 1997;112(1):186–92. https://doi.org/10.1378/chest.112.1.186.

    Article  CAS  PubMed  Google Scholar 

  3. Thille AW, Harrois A, Schortgen F, Brun-Buisson C, Brochard L. Outcomes of extubation failure in medical intensive care unit patients. Crit Care Med. 2011;39(12):2612–8. https://doi.org/10.1097/CCM.0b013e3182282a5a.

    Article  PubMed  Google Scholar 

  4. Funk GC, Anders S, Breyer MK, Burghuber OC, Edelmann G, Heindl W, et al. Incidence and outcome of weaning from mechanical ventilation according to new categories. Eur Respir J. 2010;35(1):88–94. https://doi.org/10.1183/09031936.00056909.

    Article  PubMed  Google Scholar 

  5. Peñuelas O, Frutos-Vivar F, Fernández C, Anzueto A, Epstein SK, Apezteguía C, et al. Characteristics and outcomes of ventilated patients according to time to liberation from mechanical ventilation. Am J Respir Crit Care Med. 2011;184(4):430–7. https://doi.org/10.1164/rccm.201011-1887OC.

    Article  PubMed  Google Scholar 

  6. Navalesi P, Bruni A, Garofalo E, Biamonte E, Longhini F, Frigerio P. Weaning off mechanical ventilation: much less an art, but not yet a science. Ann Transl Med 2019;7(Suppl 8):S353. https://doi.org/10.21037/atm.2019.09.83.

  7. Boyd JH, Forbes J, Nakada TA, Walley KR, Russell JA. Fluid resuscitation in septic shock: a positive fluid balance and elevated central venous pressure are associated with increased mortality. Crit Care Med. 2011;39(2):259–65. https://doi.org/10.1097/CCM.0b013e3181feeb15.

    Article  PubMed  Google Scholar 

  8. Barmparas G, Liou D, Lee D, Fierro N, Bloom M, Ley E, et al. Impact of positive fluid balance on critically ill surgical patients: a prospective observational study. J Crit Care. 2014;29(6):936–41. https://doi.org/10.1016/j.jcrc.2014.06.023.

    Article  PubMed  Google Scholar 

  9. Alsous F, Khamiees M, DeGirolamo A, Amoateng-Adjepong Y, Manthous CA. Negative fluid balance predicts survival in patients with septic shock: a retrospective pilot study. Chest. 2000;117(6):1749–54. https://doi.org/10.1378/chest.117.6.1749.

    Article  CAS  PubMed  Google Scholar 

  10. Upadya A, Tilluckdharry L, Muralidharan V, Amoateng-Adjepong Y, Manthous CA. Fluid balance and weaning outcomes. Intensive Care Med. 2005;31(12):1643–7. https://doi.org/10.1007/s00134-005-2801-3.

    Article  PubMed  Google Scholar 

  11. Frutos-Vivar F, Ferguson ND, Esteban A, Epstein SK, Arabi Y, Apezteguía C, et al. Risk factors for extubation failure in patients following a successful spontaneous breathing trial. Chest. 2006;130(6):1664–71. https://doi.org/10.1378/chest.130.6.1664.

    Article  PubMed  Google Scholar 

  12. Maezawa S, Kudo D, Miyagawa N, Yamanouchi S, Kushimoto S. Association of Body Weight Change and Fluid Balance With Extubation Failure in Intensive Care Unit Patients: A Single-Center Observational Study. J Intensive Care Med. 2019;885066619887694. https://doi.org/10.1177/0885066619887694.

  13. Wiedemann HP, Wheeler AP, Bernard GR, Thompson BT, Hayden D, deBoisblanc B, et al. Comparison of two fluid-management strategies in acute lung injury. N Engl J Med. 2006;354(24):2564–75. https://doi.org/10.1056/NEJMoa062200.

    Article  CAS  PubMed  Google Scholar 

  14. Silversides JA, Major E, Ferguson AJ, Mann EE, McAuley DF, Marshall JC, et al. Conservative fluid management or deresuscitation for patients with sepsis or acute respiratory distress syndrome following the resuscitation phase of critical illness: a systematic review and meta-analysis. Intensive Care Med. 2017;43(2):155–70. https://doi.org/10.1007/s00134-016-4573-3.

    Article  PubMed  Google Scholar 

  15. van Mourik N, Metske HA, Hofstra JJ, Binnekade JM, Geerts BF, Schultz MJ, et al. Cumulative fluid balance predicts mortality and increases time on mechanical ventilation in ARDS patients: An observational cohort study. PLoS One. 2019;14(10):e0224563. https://doi.org/10.1371/journal.pone.0224563.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Johnson AE, Pollard TJ, Shen L, Lehman LW, Feng M, Ghassemi M, et al. MIMIC-III, a freely accessible critical care database. Sci Data. 2016;3:160035. https://doi.org/10.1038/sdata.2016.35.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Johnson AE, Stone DJ, Celi LA, Pollard TJ. The MIMIC Code Repository: enabling reproducibility in critical care research. J Am Med Inform Assoc: JAMIA. 2018;25(1):32–9. https://doi.org/10.1093/jamia/ocx084.

    Article  PubMed  Google Scholar 

  18. Sadaka F, Juarez M, Naydenov S, O'Brien J. Fluid resuscitation in septic shock: the effect of increasing fluid balance on mortality. J Intensive Care Med. 2014;29(4):213–7. https://doi.org/10.1177/0885066613478899.

    Article  PubMed  Google Scholar 

  19. Lee J, de Louw E, Niemi M, Nelson R, Mark RG, Celi LA, et al. Association between fluid balance and survival in critically ill patients. J Intern Med. 2015;277(4):468–77. https://doi.org/10.1111/joim.12274.

    Article  CAS  PubMed  Google Scholar 

  20. Borges LGA, Savi A, Teixeira C, de Oliveira RP, De Camillis MLF, Wickert R, et al. Mechanical ventilation weaning protocol improves medical adherence and results. J Crit Care. 2017;41:296–302. https://doi.org/10.1016/j.jcrc.2017.07.014.

    Article  PubMed  Google Scholar 

  21. Mekontso Dessap A, Roche-Campo F, Kouatchet A, Tomicic V, Beduneau G, Sonneville R, et al. Natriuretic peptide-driven fluid management during ventilator weaning: a randomized controlled trial. Am J Respir Crit Care Med. 2012;186(12):1256–63. https://doi.org/10.1164/rccm.201205-0939OC.

    Article  CAS  PubMed  Google Scholar 

  22. Shen Y, Huang X, Zhang W. Association between fluid intake and mortality in critically ill patients with negative fluid balance: a retrospective cohort study. Critical Care (London, England). 2017;21(1):104. https://doi.org/10.1186/s13054-017-1692-3.

    Article  Google Scholar 

  23. Antonio AC, Teixeira C, Castro PS, Savi A, Oliveira RP, Gazzana MB, et al. 48-Hour Fluid Balance Does Not Predict a Successful Spontaneous Breathing Trial. Respir Care. 2015;60(8):1091–6. https://doi.org/10.4187/respcare.03172.

    Article  PubMed  Google Scholar 

  24. Teboul JL, Monnet X, Richard C. Weaning failure of cardiac origin: recent advances. Critical care (London, England). 2010;14:2:211. https://doi.org/10.1186/cc8852.

    Article  Google Scholar 

  25. Vignon P. Cardiovascular failure and weaning. Ann Transl Med. 2018;6(18):354. https://doi.org/10.21037/atm.2018.05.46.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Routsi C, Stanopoulos I, Kokkoris S, Sideris A, Zakynthinos S. Weaning failure of cardiovascular origin: how to suspect, detect and treat-a review of the literature. Ann Intensive Care. 2019;9(1):6. https://doi.org/10.1186/s13613-019-0481-3.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Torrini F, Gendreau S, Morel J, Carteaux G, Thille AW, Antonelli M, et al. Prediction of extubation outcome in critically ill patients: a systematic review and meta-analysis. Critical Care (London, England). 2021;25(1):391. https://doi.org/10.1186/s13054-021-03802-3.

    Article  Google Scholar 

Download references

Acknowledgements

None.

Funding

This study was supported by ‘Youth Top-notch Talent Program of Beijing Tongren Hospital’, NO: 2021-YJJ-ZZL-026.

Author information

Author notes

  1. Tong Li and Dawei Zhou contributed equally to this work.

Authors and Affiliations

  1. Department of Critical Care Medicine, Beijing Tongren Hospital, Capital Medical University, Beijing, China

    Tong Li, Dawei Zhou, Dong Zhao, Qing Lin, Dija Wang & Chao Wang

Authors
  1. Tong Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Dawei Zhou
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Dong Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Qing Lin
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Dija Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Chao Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

DW Z and T L conceived this study. DW Z extracted the data. T L, DW Z, DJ W, and C W designed and performed the statistical analyses. DW Z, T L, Q L, and D Z wrote the first draft of the manuscript. DW Z and T L reviewed and modified the final manuscript. All authors read, critically reviewed, and approved the final manuscript.

Corresponding author

Correspondence to Tong Li.

Ethics declarations

Ethics approval and consent to participate

The MIMIC-III database was approved by the Institutional Review Boards of Beth Israel Deaconess Medical Center (Boston, MA) and the Massachusetts Institute of Technology (Cambridge, MA). All tables in MIMIC-III were deidentified to meet the safe harbor provision of the Health Insurance Portability and Accountability Act (HIPAA). Due to the HIPAA standards in this database and in accordance with the Declaration of Helsinki, our institutional IRB requirement was waived. The data used in this study were anonymized before its use. Researchers can access to the database when completing the required training course (the Collaborative Institutional Training Initiative) and after the approval of PhysioNet (mimic.mit.edu).

Consent for publication

Not applicable.

Competing interests

None of the authors has declared a conflict of interest.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Rights and permissions

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/. 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.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, T., Zhou, D., Zhao, D. et al. Association between fluid intake and extubation failure in intensive care unit patients with negative fluid balance: a retrospective observational study. BMC Anesthesiol 22, 170 (2022). https://doi.org/10.1186/s12871-022-01708-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12871-022-01708-3

Keywords

BMC Anesthesiology

ISSN: 1471-2253

Contact us