Skip to main content

Prophylactic noninvasive respiratory support in the immediate postoperative period after cardiac surgery - a systematic review and network meta-analysis

Abstract

Background

Noninvasive respiratory support has been increasingly applied in the immediate postoperative period to prevent postoperative pulmonary complications (PPCs). However, the optimal approach remains uncertain. We sought to evaluate the comparative effectiveness of various noninvasive respiratory strategies used in the immediate postoperative period after cardiac surgery.

Methods

We conducted a frequentist random-effect network meta-analysis (NMA) of randomized controlled trials (RCTs) comparing the prophylactic use of noninvasive ventilation (NIV), continuous positive airway pressure (CPAP), high flow nasal cannula (HFNC), or postoperative usual care (PUC) in the immediate postoperative period after cardiac surgery. Databases were systematically searched through September 28, 2022. Study selection, data extraction, and quality assessment were performed in duplicate. The primary outcome was the incidence of PPCs.

Results

Sixteen RCTs enrolling 3011 patients were included. Compared with PUC, NIV significantly reduced the incidence of PPCs [relative risk (RR) 0.67, 95% confidence interval (CI): 0.49 to 0.93; absolute risk reduction (ARR) 7.6%, 95% CI: 1.6–11.8%; low certainty] and the incidence of atelectasis (RR 0.65, 95% CI: 0.45 to 0.93; ARR 19.3%, 95% CI: 3.9–30.4%; moderate certainty); however, prophylactic NIV was not associated with a decreased reintubation rate (RR 0.82, 95% CI: 0.29 to 2.34; low certainty) or reduced short-term mortality (RR 0.64, 95% CI: 0.16 to 2.52; very low certainty). As compared to PUC, the preventive use of CPAP (RR 0.85, 95% CI: 0.60 to 1.20; very low certainty) or HFNC (RR 0.74, 95% CI: 0.46 to 1.20; low certainty) had no significant beneficial effect on the incidence of PPCs, despite exhibiting a downward trend. Based on the surface under the cumulative ranking curve, the highest-ranked treatment for reducing the incidence of PPCs was NIV (83.0%), followed by HFNC (62.5%), CPAP (44.3%), and PUC (10.2%).

Conclusions

Current evidence suggest that the prophylactic use of NIV in the immediate postoperative period is probably the most effective noninvasive respiratory approach to prevent PPCs in patients undergoing cardiac surgery. Given the overall low certainty of the evidence, further high-quality research is warranted to better understand the relative benefits of each noninvasive ventilatory support.

Clinical Trial Registration

PROSPERO, https://www.crd.york.ac.uk/prospero/, registry number: CRD42022303904.

Peer Review reports

Introduction

Postoperative pulmonary complications (PPCs) represent a composite outcome of minor and major pulmonary complications that are commonly encountered in the postoperative period, with a reported prevalence of up to 30–50% in patients undergoing cardiothoracic surgery [1,2,3]. The high prevalence of PPCs in cardiac surgery partly attributes to the nature of the direct intrathoracic procedure. During the perioperative period of intrathoracic surgery, multiple risk factors contribute to the susceptibility to developing PPCs in such a population [4]. Of these, cardiopulmonary bypass is a critical predisposing factor that can precipitate lung inflammation and ischemia-reperfusion injury and finally cause substantial pulmonary compromise [4]. Alterations of chest wall structure and function further impair lung expansion and aggravate lung atelectasis. Additionally, potential diaphragm impairment during intrathoracic surgery can lead to impaired sputum expectoration and inspiratory muscle weakness. These adverse factors together induce unfavorable changes in respiratory pathophysiology [5], thereby resulting in PPCs and postoperative respiratory dysfunction.

Currently, PPCs are widely recognized as a leading cause of increased morbidity and mortality in cardiac surgery [3, 6]. It is thus essential to prevent PPCs in patients undergoing cardiac surgery, anticipating improved clinical outcomes. Over the past decade, noninvasive positive pressure ventilation (NPPV), including noninvasive ventilation (NIV, delivered as bilevel positive airway pressure) and continuous positive airway pressure (CPAP), and high flow nasal cannula (HFNC) have been increasingly utilized in the immediate postoperative period to prevent PPCs. Both NPPV and HFNC elicit a series of beneficial physiological effects on cardiovascular and respiratory function. By delivering a stable positive airway pressure at inspiration and expiration levels, NIV and CPAP can promote alveolar recruitment, prevent alveolar collapse, mitigate ventilation-perfusion mismatch, and reduce left ventricular pre- and afterload, and thus improve cardiorespiratory performance [7]. Apart from generating a low level of positive airway pressure, HFNC also washes out the upper airway dead space and facilitates the clearance of secretions [8,9,10]. Consequently, these noninvasive respiratory approaches are considered promising complementary treatments to postoperative usual care (PUC).

However, the optimal approach of noninvasive respiratory support used in the immediate postoperative period remains unknown. A recent meta-analysis suggested that the treatment with NPPV after cardiac surgery did not affect the incidence of PPCs [11], and two meta-analyses found conflicting results in terms of the length of in-hospital stay and reintubation with the prophylactic use of HFNC after cardiac/thoracic surgery [12, 13]. Although these conventional pairwise meta-analyses are informative, they cannot inform on the relative effect of indirectly compared approaches without head-to-head comparisons. As an alternative, network meta-analysis (NMA) can overcome this limitation and compare multiple treatments simultaneously in a single analysis by combining direct and indirect evidence [14]. Therefore, we conducted this NMA to assess the comparative effectiveness of various noninvasive respiratory methods used in the immediate postoperative period after cardiac surgery.

Methods

This systematic review with NMA was reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Extension statement for reporting network meta-analyses [15]. The study protocol was registered at the international prospective register of systematic reviews (PROSPERO; CRD42022303904). Institutional review board approval was not required due to the nature of the review article.

Literature search and study selection

Two independent reviewers (JP and HW) systematically searched the PubMed, Embase, Web of Science, and Cochrane Controlled Clinical Trial Register to identify randomized controlled trials (RCTs) comparing the prophylactic use of NIV, CPAP, HFNC, or PUC in the immediate postoperative period in adult patients undergoing cardiac surgery. Electronic database searching was completed on January 23, 2022, and updated on September 28, 2022. The comprehensive search strategies are presented in Additional File 1. We also manually searched the bibliographies of previous publications to further identify relevant literature.

Duplicate records searched from each database were initially auto-filtered for deduplication. Then, the title and abstract of the remaining records were screened independently for eligibility by the same two reviewers (JP and HW). The full texts of all records deemed relevant were reviewed carefully. Disagreements between the two reviews were adjudicated by a discussion with a third reviewer (XZ). No restriction was applied to language or publication date. The excluded studies with associated reasons are listed in Additional File 1.

Eligibility criteria

Candidate studies were screened in compliance with the following eligibility criteria: (1) Participants: adult patients (age greater than 18 years) who had undergone cardiac surgery, regardless of the urgency, and were successfully extubated; (2) Interventions and comparators: CPAP, NIV, HFNC, and PUC. All the noninvasive respiratory methods were initiated in the immediate period (no more than 6 h) following extubation after surgery for prophylactic purposes; (3) Outcomes: the interested outcomes included the incidence of PPCs, atelectasis, reintubation, short-term mortality, and lengths of intensive care unit (ICU) stay and in-hospital stay. Studies reporting on at least one of the above outcomes were included; (4) Study design: prospective RCT. We excluded those studies that met anyone of the following criteria: (1) Studies without randomized controlled design; (2) Studies conducted in patients who had developed postoperative respiratory failure; (3) Studies that did not report any outcome of interest; (4) Studies in which noninvasive respiratory support had been initiated before surgery, or was used for therapeutic or facilitative purposes [9], or was not used in the immediate postoperative period; (5) Studies conducted in other surgery types rather than cardiac surgery; (6) Studies with a sample size of less than 30; (7) Conference abstracts without a full text.

Outcomes and definitions

The primary outcome was the incidence of PPCs, with PPCs being pre-defined as the composite of any of pneumonia, atelectasis, acute respiratory distress syndrome, or pulmonary aspiration [16], or defined by the authors in the original articles. The secondary outcomes included the incidence of atelectasis, reintubation rate, short-term mortality, and lengths of ICU stay and in-hospital stay. These secondary outcomes were defined by the authors in the included studies and measured at the longest time point reported up to 30 days. Short-term mortality was defined as death within 30 days after randomization. If studies reported various mortalities, the longest follow-up short-term mortality was included.

Data extraction and risk of bias assessment

Two reviewers (LZ and ZX) independently extracted data from each included study, including the following contents: study and patient characteristics, intervention details, and outcome measures, with discrepancies being resolved by a third reviewer (BC). If necessary, the corresponding author would be contacted to clarify information as required; in reality, however, no author was contacted despite sending an inquiring email. The methodological quality of individual studies was assessed independently by the same two reviewers for the primary outcome using the Cochrane Collaboration’s risk of bias tool 2.0 [17]. We constructed a “traffic light” plot to illustrate the risk of bias assessment in each domain [18]. Studies with a low risk of bias in all domains were considered as overall low risk of bias. A panel of reviewers (LZ, BC, and ZX) participated in the discussion to reach a consensus.

Statistical analysis

Initially, conventional pairwise meta-analyses with random-effects models were performed to obtain the direct effect estimates from head-to-head comparisons for all outcomes. A series of frequentist random-effects NMA was then conducted to derive the relative treatment estimates of all interventions, allowing for the expected substantial heterogeneities among the included studies. Categorical outcomes were summarized as relative risk (RR) and continuous data were presented as mean differences (MD), accompanied by corresponding 95% confidence intervals (CI). Additionally, we calculated the absolute treatment effect for the categorical outcomes using the assumed event rate across all trials in the PUC arm. Data syntheses were performed in Stata/SE 15.0 software (Stata-Corp, College Station, TX, USA) with the mvmeta, network, and network graphs packages. A two-sided P value < 0.05 was considered statistical significance.

Before synthesizing data, we comprehensively confirmed the transitivity, consistency, and homogeneity assumptions, which underlie the validity of NMA evidence [19, 20]. Network plots were constructed to describe the connectivity between different interventions. We evaluated the distribution of patients and study characteristics that might modify treatment effects to assess the transitivity across different comparisons. The coherence assumption in the entire network was assessed using a design-by-treatment interaction model (global test); the incoherence between direct and indirect effect estimates was evaluated using the side-splitting method (local test) [21]. We assessed the heterogeneities among included studies by calculating the Q test and the I2 statistic and visually inspecting the forest plots [22]. The hierarchy of various interventions was ranked by calculating the surface under the cumulative ranking curve (SUCRA) value for each outcome. The SUCRA value, ranging from 0 to 100%, represents the probability of treatment effectiveness ranking highest [23]. The presence of small-study effects for the primary outcome was evaluated by generating the comparison-adjusted funnel plot. If sufficient studies were included, we would conduct a sensitivity analysis to evaluate the effect of a potential effect modifier (age over 60 years or not) on the robustness of the NMA results.

Assessment of certainty of evidence

The GRADE four-step approach was implemented to rate the certainty of evidence in each of the direct, indirect, and NMA estimates for each comparison [24]. Downgrading the certainty was based on the presence of risk of bias, inconsistency, indirectness, imprecision, incoherence, or publication bias [24]. Of note, imprecision assessment was only performed at the network level, but not at the level of the direct or indirect estimate [25]. We focused on the most-dominant first-order loop to rate the certainty of the indirect estimate, which was assigned the lowest rating in the contributing direct comparisons within the first-order loop. The higher certainty rating of the direct and indirect estimates was assigned as the certainty of the NMA estimate.

Results

The initial search yielded a total of 640 records, and additional 86 citations were added following the updated search. After deduplication and exclusion of irrelevant records, 16 eligible RCTs [26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41] that enrolled 3011 participants were included in the quantitative analyses. Figure 1 depicts the PRISMA flowchart of study selection.

Fig. 1
figure 1

The PRISMA flowchart of study selection. CPAP continuous positive airway pressure; NIV noninvasive ventilation; HFNC high flow nasal cannula; PUC postoperative usual care

The study characteristics and outcome measures are displayed in Table S1 and S2 (see Additional file 2), respectively. Although the distribution of the patient and study characteristics were not fully balanced among the included trials, the variation was not large enough to warrant concerns regarding intransitivity. Among the 16 included trials, the majority (81%) was single-center [26,27,28,29, 31,32,33,34,35,36, 38,39,40]; the sample sizes ranged from 30 to 830, and the mean age ranged from 53 to 69 years. Of the 16 included RCTs, 5 [26,27,28,29,30] compared CPAP with PUC, 6 [31,32,33,34,35,36] compared HFNC with PUC, 3 [37,38,39] compared NIV with PUC, 1 [41] compared NIV with HFNC, and the last one [40] was a 3-arm study comparing CPAP with NIV and with PUC. As shown in the “traffic light” plot (Figs. 2), 7 trials were judged as overall low risk of bias [30,31,32, 36, 37, 39, 41].

Fig. 2
figure 2

Assessment of risk of bias for included studies

Primary outcome and sensitivity analyses

There were 14 trials [27,28,29,30,31,32,33,34, 36,37,38,39,40,41] reporting the incidence of PPCs, with the definition of PPCs largely varying across the included trials. We found no significant incoherence in the entire network (P = 0.638). The NMA results suggested that NIV compared with PUC significantly reduced the incidence of PPCs (low certainty) (Fig. 3; Table 1). As compared to PUC, the prophylactic use of HFNC (low certainty) or CPAP (very low certainty) was not associated with a significantly lower incidence of PPCs, despite exhibiting a downward trend (Fig. 3; Table 1). No significant differences among CPAP, NIV, and HFNC were observed for the primary outcome (Table S3, Additional File 2). According to the SUCRA estimates, NIV (83.0%) was the highest-ranked approach, followed by HFNC (62.5%), CPAP (44.3%), and PUC (10.2%). The best estimate of the treatment effect of NIV on the incidence of PPCs suggested an absolute reduction of 7.6% (95% CI: 1.6–11.8%) relative to PUC (Table 2). We found no evidence of small-study effects (Fig. 4). Given the limited included studies, we abandoned the scheduled plan of conducting a sensitivity analysis on the patient’s age.

Fig. 3
figure 3

Forest plots of network meta-analysis for the incidence of PPCs and atelectasis. PPCs postoperative pulmonary complications; CPAP continuous positive airway pressure; NIV noninvasive ventilation; HFNC high flow nasal cannula; PUC postoperative usual care; CI confidence interval

Fig. 4
figure 4

Assessment of small-study effects for the incidence of PPCs. PPCs postoperative pulmonary complications; CPAP continuous positive airway pressure; NIV noninvasive ventilation; HFNC high flow nasal cannula; PUC postoperative usual care

Table 1 Treatment effect estimates and quality assessment for each direct comparison in all studied outcomes
Table 2 Absolute treatment effect for the comparisons of various noninvasive respiratory support

Secondary outcomes

Seven trials [27,28,29, 37,38,39,40] reported data on the incidence of atelectasis. No significant incoherence existed in the network. Compared with PUC, NIV had a beneficial effect on the incidence of atelectasis (moderate certainty) (Fig. 3), and the absolute risk reduction was 19.3% (95% CI: 3.9–30.4%) (Table 2). No positive results were observed in other direct or indirect comparisons for the incidence of atelectasis (Table S3) (Additional File 2). In addition, as shown in Table 2 and Table S3, no statistical difference was observed among the four treatments in terms of reintubation, short-term mortality, the length of ICU stay, or the length of in-hospital stay. The associated network plots and forest plots were presented in Figures S1-S4 (Additional File 2).

Discussion

This systematic NMA evaluated the relative effectiveness of prophylactic noninvasive respiratory strategies in the immediate postoperative period after cardiac surgery. The principal findings suggested the superiority of NIV over PUC in reducing the incidence of PPCs and the incidence of atelectasis. However, prophylactic CPAP or HFNC compared with PUC had no significant beneficial effect on the incidence of PPCs or atelectasis. No one particular noninvasive respiratory approach is superior to another in terms of primary or secondary outcomes. The SUCRA statistics indicated that prophylactic NIV compared with PUC is probably the most effective approach to prevent PPCs in patients undergoing cardiac surgery.

Postoperative noninvasive respiratory support has always been an important clinical scenario that surgeons, anesthesiologists, and intensivists are concerned about. The most recent release of European Respiratory Society guidelines recommended the application of NIV for treating postoperative patients with acute respiratory failure [42]. However, there is no clear recommendation on the prophylactic use of NPPV in the immediate postoperative period. In this current NMA, we found a beneficial effect of postoperative NIV on the incidence of PPCs (primarily atelectasis), which was inconsistent with the results of the latest meta-analysis which did not support the routine use of postoperative NPPV to prevent PPCs [43]. Distinct target populations might contribute to these conflicting findings. The studied subjects in the previous study [43] were patients undergoing major surgery, primarily abdominal surgery, and in our study were patients undergoing cardiac surgery. Theoretically, patients undergoing cardiac surgery are at higher risk of developing PPCs than those undergoing abdominal surgery because the former commonly suffer from various cardiovascular and pulmonary dysfunction (such as pulmonary oedema) at the preoperative stage. In this case, prophylactic NIV exhibits the ability to reduce left ventricular pre- and afterload and improve cardiac performance by the elevation of intrathoracic pressure [7, 44], finally resulting in a reduced incidence of PPCs.

However, this NMA did not identify any effect of NPPV (including NIV and CPAP) on the reintubation or mortality, which was not dissimilar to the previous study [43]. The negative findings are not unexpected because both reintubation rate and short-term mortality are quite low so the small sample size in the included trials might have no sufficient statistical power to detect a slight reduction in both outcomes. More importantly, potential self-inflicted lung injury and delayed reintubation might counterbalance the survival benefit resulting from reduced PPCs [45, 46]. These potential harms are common to all noninvasive oxygenation strategies. In postoperative patients with spontaneous breathing, noninvasive respiratory support typically leads to higher-than-targeted tidal volumes, resulting in high transpulmonary pressures and self-inflicted lung injury [47, 48]. Furthermore, oxygenation improvement with the use of noninvasive respiratory support might disguise signs of respiratory distress for an extended period in those patients who would finally fail on noninvasive respiratory treatment, ultimately leading to delayed reintubation and increased mortality [49].

As a promising alternative to NPPV, post-extubation HFNC has been recommended as an effective noninvasive respiratory strategy in various clinical situations, including the postoperative period. Based on evidence from a recent meta-analysis suggesting the benefits of postoperative HFNC in reducing reintubation and escalation of respiratory support [13], the latest practice guideline recommended the use of HFNC compared to PUC to prevent respiratory failure in the immediate postoperative period in high-risk and/or obese patients undergoing cardiothoracic surgery [50]. However, the current NMA found a downward trend of PPCs events with the preventive use of HFNC compared with PUC, without a statistical significance. By adding a recently published trial [33], our study demonstrated a neutral effect of HFNC on reintubation or mortality as compared to PUC. Our results were consistent with the findings of the latest meta-analysis [43]. These findings are not surprising because the low level of positive airway pressure generated by HFNC, relative to NPPV, might be insufficient to produce a significant impact on alveolar collapse and transpulmonary pressures in postoperative patients, and consequently exhibits no significant effect on cardiorespiratory performance. However, the very low to low certainty of evidence on the efficacy of HFNC should be interpreted with caution. At present, a conducting, well-designed, multi-center, international RCT is anticipated to draw a more reliable conclusion on the efficacy of postoperative HFNC [51].

The current NMA has several strengths. To the best of our knowledge, this study is the first NMA on the efficacy of noninvasive respiratory support applied in the postoperative period. This NMA manifests an intrinsic advantage of allowing for the comparison of multiple treatments simultaneously and improving the precision by combining direct and indirect evidence. Moreover, this study adds the latest published data and provides a greater number of included trials and subjects (16 trials with 3011 patients) than the previous meta-analyses [11,12,13]. Of note, there are at least 2 trials [29, 39] that were missed in a previous study [11], and 1 trial [34] was missed in another study [13]. The incomplete data synthesis would downgrade the credibility of their evidence to some extent. In addition, the calculation of the absolute treatment effect facilitates a better understanding of the clinical significance of noninvasive respiratory support.

However, several limitations in this study should be recognized. First, the varied definitions of PPCs represent the main cause of heterogeneities among the included trials. Although the varied PPCs definitions might cause an underestimation or overestimation of the true incidence of PPCs, it should have equally affected the different groups analyzed. Furthermore, we specifically evaluated the individual outcome of atelectasis because PPCs is a composite outcome that cannot precisely describe the characteristic of individual complications. Second, we did not perform subgroup analyses to clarify some potential effects modifiers, including the interfaces used, smoking, obesity, age, surgical approach, and the risk of developing PPCs, due to the limited information, which must be taken into consideration when interpreting the findings. Third, the lack of blinding could pose a potential bias in subjective outcomes (e.g., the incidence of PPCs) in the majority of the included trials. We downgraded the certainty of the evidence for these subjective outcomes in the domain of risk of bias, even though it is unrealistic to blind the treating clinicians to treatment allocation among noninvasive respiratory interventions. Finally, the findings of our study are only applicable to the prophylactic use in the immediate postoperative period after cardiac surgery, not to other clinical scenarios. In addition, no report on the safety, adverse outcomes, or cost may affect clinical practice or policy decisions.

Conclusion

This systematic NMA supports the routine use of prophylactic NIV in the immediate postoperative period to prevent PPCs (primarily atelectasis) in patients undergoing cardiac surgery. The current NMA evidence presents important clinical implications for surgeons, anesthesiologists, and intensivists, and should prompt a re-evaluation of practice guidelines with respect to the postoperative use of noninvasive respiratory support. Given the overall low certainty of the evidence, further high-quality research is warranted to better understand the relative benefits of each noninvasive ventilatory support.

Data Availability

All data generated or analysed during this study are included in this published article (and its supplementary information files).

Abbreviations

PPCs:

Postoperative pulmonary complications

NPPV:

Noninvasive positive pressure ventilation

NIV:

Noninvasive ventilation

CPAP:

Continuous positive airway pressure

HFNC:

High flow nasal cannula

PUC:

Postoperative usual care

NMA:

Network meta-analysis

PRISMA:

The preferred reporting items for systematic reviews and meta-analyses

CENTRAL:

Cochrane controlled clinical trial register

RCTs:

Randomized controlled trials

ICU:

Intensive care unit

RR:

Relative risk

MD:

Mean differences

CI:

Confidence intervals

SUCRA:

The surface under the cumulative ranking curve

References

  1. Kaufmann K, Heinrich S. Minimizing postoperative pulmonary complications in thoracic surgery patients. Curr Opin Anaesthesiol. 2021;34(1):13–9.

    Article  PubMed  Google Scholar 

  2. Mohamed MA, Cheng C, Wei X. Incidence of postoperative pulmonary complications in patients undergoing minimally invasive versus median sternotomy valve surgery: propensity score matching. J Cardiothorac Surg. 2021;16(1):287.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Fischer MO, Brotons F, Briant AR, Suehiro K, Gozdzik W, Sponholz C, VENICE study group. ;. Postoperative pulmonary complications after cardiac surgery: the VENICE international cohort study. J Cardiothorac Vasc Anesth. 2021:S1053-0770(21)01108-3.

  4. Lagier D, Zeng C, Fernandez-Bustamante A, Vidal Melo MF. Perioperative Pulmonary atelectasis: part II. Clinical implications. Anesthesiology. 2022;136(1):206–36.

    Article  PubMed  Google Scholar 

  5. Miskovic A, Lumb AB. Postoperative pulmonary complications. Br J Anaesth. 2017;118(3):317–34.

    Article  CAS  PubMed  Google Scholar 

  6. LAS VEGAS investigators. Epidemiology, practice of ventilation and outcome for patients at increased risk of postoperative pulmonary complications: LAS VEGAS - an observational study in 29 countries. Eur J Anaesthesiol. 2017;34(8):492–507.

    Article  Google Scholar 

  7. Maggiore SM, Battilana M, Serano L, Petrini F. Ventilatory support after extubation in critically ill patients. Lancet Respir Med. 2018;6(12):948–62.

    Article  PubMed  Google Scholar 

  8. Möller W, Feng S, Domanski U, Franke KJ, Celik G, Bartenstein P, et al. Nasal high flow reduces dead space. J Appl Physiol (1985). 2017;122(1):191–7.

    Article  PubMed  Google Scholar 

  9. Möller W, Celik G, Feng S, Bartenstein P, Meyer G, Oliver E, et al. Nasal high flow clears anatomical dead space in upper airway models. J Appl Physiol (1985). 2015;118(12):1525–32.

    Article  PubMed  Google Scholar 

  10. Spoletini G, Alotaibi M, Blasi F, Hill NS. Heated humidified high-flow nasal oxygen in adults: mechanisms of action and clinical implications. Chest. 2015;148(1):253–61.

    Article  PubMed  Google Scholar 

  11. Wu Q, Xiang G, Song J, Xie L, Wu X, Hao S, et al. Effects of non-invasive ventilation in subjects undergoing cardiac surgery on length of hospital stay and cardiac-pulmonary complications: a systematic review and meta-analysis. J Thorac Dis. 2020;12(4):1507–19.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Lu Z, Chang W, Meng S, Xue M, Xie J, Xu J, et al. The effect of high-flow nasal oxygen therapy on postoperative pulmonary complications and hospital length of stay in postoperative patients: a systematic review and meta-analysis. J Intensive Care Med. 2020;35(10):1129–40.

    Article  PubMed  Google Scholar 

  13. Chaudhuri D, Granton D, Wang DX, Burns KEA, Helviz Y, Einav S, et al. High-flow nasal cannula in the immediate postoperative period: a systematic review and meta-analysis. Chest. 2020;158(5):1934–46.

    Article  PubMed  Google Scholar 

  14. Rouse B, Chaimani A, Li T. Network Meta-Analysis: an introduction for clinicians. Intern Emerg Med. 2017;12(1):103–11.

    Article  PubMed  Google Scholar 

  15. Hutton B, Salanti G, Caldwell DM, Chaimani A, Schmid CH, Cameron C, et al. The PRISMA extension statement for reporting of systematic reviews incorporating network meta-analyses of health care interventions: checklist and explanations. Ann Intern Med. 2015;162(11):777–84.

    Article  PubMed  Google Scholar 

  16. Abbott TEF, Fowler AJ, Pelosi P, Gama de Abreu M, Møller AM, Canet J. StEP-COMPAC Group. A systematic review and consensus definitions for standardised end-points in perioperative medicine: pulmonary complications. Br J Anaesth. 2018;120(5):1066–79.

    Article  CAS  PubMed  Google Scholar 

  17. Sterne JAC, Savović J, Page MJ, Elbers RG, Blencowe NS, Boutron I, et al. RoB 2: a revised tool for assessing risk of bias in randomised trials. BMJ. 2019;366:l4898.

    Article  PubMed  Google Scholar 

  18. McGuinness LA, Higgins JPT. Risk-of-bias VISualization (robvis): an R package and Shiny web app for visualizing risk-of-bias assessments. Res Synth Methods. 2021;12(1):55–61.

    Article  PubMed  Google Scholar 

  19. Donegan S, Williamson P, D’Alessandro U, Tudur Smith C. Assessing key assumptions of network meta-analysis: a review of methods. Res Synth Methods. 2013;4(4):291–323.

    Article  PubMed  Google Scholar 

  20. Watt J, Del Giovane C. Network Meta-Analysis. Methods Mol Biol. 2022;2345:187–201.

    Article  CAS  PubMed  Google Scholar 

  21. Higgins JP, Jackson D, Barrett JK, Lu G, Ades AE, White IR. Consistency and inconsistency in network meta-analysis: concepts and models for multi-arm studies. Res Synth Methods. 2012;3(2):98–110.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Higgins JPT, Green S. Cochrane handbook for systematic reviews of interventions. The Cochrane Collaboration; 2011. http://www.cochrane-handbook.org/.

  23. Salanti G, Ades AE, Ioannidis JP. Graphical methods and numerical summaries for presenting results from multiple-treatment meta-analysis: an overview and tutorial. J Clin Epidemiol. 2011;64(2):163–71.

    Article  PubMed  Google Scholar 

  24. Puhan MA, Schünemann HJ, Murad MH, Li T, Brignardello-Petersen R, Singh JA. GRADE Working Group. A GRADE Working Group approach for rating the quality of treatment effect estimates from network meta-analysis. BMJ. 2014;349:g5630.

    Article  PubMed  Google Scholar 

  25. Brignardello-Petersen R, Bonner A, Alexander PE, Siemieniuk RA, Furukawa TA, Rochwerg B. GRADE Working Group. Advances in the GRADE approach to rate the certainty in estimates from a network meta-analysis. J Clin Epidemiol. 2018;93:36–44.

    Article  PubMed  Google Scholar 

  26. Al-Mutairi FH, Fallows SJ, Abukhudair WA, Islam BB, Morris MM. Difference between continuous positive airway pressure via mask therapy and incentive spirometry to treat or prevent post-surgical atelectasis. Saudi Med J. 2012;33(11):1190–5.

    PubMed  Google Scholar 

  27. Jousela I, Räsänen J, Verkkala K, Lamminen A, Mäkeläinen A, Nikki P. Continuous positive airway pressure by mask in patients after coronary surgery. Acta Anaesthesiol Scand. 1994;38(4):311–6.

    Article  CAS  PubMed  Google Scholar 

  28. Pinilla JC, Oleniuk FH, Tan L, Rebeyka I, Tanna N, Wilkinson A, et al. Use of a nasal continuous positive airway pressure mask in the treatment of postoperative atelectasis in aortocoronary bypass surgery. Crit Care Med. 1990;18(8):836–40.

    Article  CAS  PubMed  Google Scholar 

  29. Stock MC, Downs JB, Cooper RB, Lebenson IM, Cleveland J, Weaver DE, et al. Comparison of continuous positive airway pressure, incentive spirometry, and conservative therapy after cardiac operations. Crit Care Med. 1984;12(11):969–72.

    Article  CAS  PubMed  Google Scholar 

  30. Zarbock A, Mueller E, Netzer S, Gabriel A, Feindt P, Kindgen-Milles D. Prophylactic nasal continuous positive airway pressure following cardiac surgery protects from postoperative pulmonary complications: a prospective, randomized, controlled trial in 500 patients. Chest. 2009;135(5):1252–9.

    Article  PubMed  Google Scholar 

  31. Corley A, Bull T, Spooner AJ, Barnett AG, Fraser JF. Direct extubation onto high-flow nasal cannulae post-cardiac surgery versus standard treatment in patients with a BMI ≥ 30: a randomised controlled trial. Intensive Care Med. 2015;41(5):887–94.

    Article  PubMed  Google Scholar 

  32. Parke R, McGuinness S, Dixon R, Jull A. Open-label, phase II study of routine high-flow nasal oxygen therapy in cardiac surgical patients. Br J Anaesth. 2013;111(6):925–31.

    Article  CAS  PubMed  Google Scholar 

  33. Pibul W, Kocharunjitt W, Foofuengmonkolkit K. High-flow nasal cannula vs. incentive spirometer after cardiac surgery: a randomized controlled trial. J Med Assoc Thai. 2021;104(5):794–801.

    Google Scholar 

  34. Sahin M, El H, Akkoç I. Comparison of mask oxygen therapy and high-flow oxygen therapy after cardiopulmonary bypass in obese patients. Can Respir J. 2018; 2018:1039635.

  35. Tatsuishi W, Sato T, Kataoka G, Sato A, Asano R, Nakano K. High-flow nasal cannula therapy with early extubation for subjects undergoing off-pump coronary artery bypass graft surgery. Respir Care. 2020;65(2):183–90.

    Article  PubMed  Google Scholar 

  36. Zochios V, Collier T, Blaudszun G, Butchart A, Earwaker M, Jones N, et al. The effect of high-flow nasal oxygen on hospital length of stay in cardiac surgical patients at high risk for respiratory complications: a randomised controlled trial. Anaesthesia. 2018;73(12):1478–88.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Abrard S, Rineau E, Seegers V, Lebrec N, Sargentini C, Jeanneteau A et al. Postoperative prophylactic intermittent noninvasive ventilation versus usual postoperative care for patients at high risk of pulmonary complications: a multicentre randomised trial. Br J Anaesth. 2022; S0007-0912(21)00765-0.

  38. Al Jaaly E, Fiorentino F, Reeves BC, Ind PW, Angelini GD, Kemp S, et al. Effect of adding postoperative noninvasive ventilation to usual care to prevent pulmonary complications in patients undergoing coronary artery bypass grafting: a randomized controlled trial. J Thorac Cardiovasc Surg. 2013;146(4):912–8.

    Article  PubMed  Google Scholar 

  39. Celebi S, Köner O, Menda F, Omay O, Günay I, Suzer K, et al. Pulmonary effects of noninvasive ventilation combined with the recruitment maneuver after cardiac surgery. Anesth Analg. 2008;107(2):614–9.

    Article  PubMed  Google Scholar 

  40. Matte P, Jacquet L, Van Dyck M, Goenen M. Effects of conventional physiotherapy, continuous positive airway pressure and non-invasive ventilatory support with bilevel positive airway pressure after coronary artery bypass grafting. Acta Anaesthesiol Scand. 2000;44(1):75–81.

    Article  CAS  PubMed  Google Scholar 

  41. Stéphan F, Barrucand B, Petit P, Rézaiguia-Delclaux S, Médard A, Delannoy B, BiPOP Study Group. High-flow nasal oxygen vs noninvasive positive airway pressure in hypoxemic patients after cardiothoracic surgery: a randomized clinical trial. JAMA. 2015;313(23):2331–9.

    Article  PubMed  Google Scholar 

  42. Rochwerg B, Brochard L, Elliott MW, Hess D, Hill NS, Nava S, et al. Official ERS/ATS clinical practice guidelines: noninvasive ventilation for acute respiratory failure. Eur Respir J. 2017;50(2):1602426.

    Article  PubMed  Google Scholar 

  43. Hui S, Fowler AJ, Cashmore RMJ, Fisher TJ, Schlautmann J, Body S, et al. Routine postoperative noninvasive respiratory support and pneumonia after elective surgery: a systematic review and meta-analysis of randomised trials. Br J Anaesth. 2022;128(2):363–74.

    Article  PubMed  Google Scholar 

  44. Naughton MT, Rahman MA, Hara K, Floras JS, Bradley TD. Effect of continuous positive airway pressure on intrathoracic and left ventricular transmural pressures in patients with congestive heart failure. Circulation. 1995;91(6):1725–31.

    Article  CAS  PubMed  Google Scholar 

  45. Bellani G, Laffey JG, Pham T, Madotto F, Fan E, Brochard L, LUNG, SAFE Investigators; ESICM Trials Group. Noninvasive ventilation of patients with acute respiratory distress syndrome. Insights from the LUNG SAFE study. Am J Respir Crit Care Med. 2017;195(1):67–77.

    Article  PubMed  Google Scholar 

  46. Kang BJ, Koh Y, Lim CM, Huh JW, Baek S, Han M, et al. Failure of high-flow nasal cannula therapy may delay intubation and increase mortality. Intensive Care Med. 2015;41(4):623–32.

    Article  PubMed  Google Scholar 

  47. Carteaux G, Millán-Guilarte T, De Prost N, Razazi K, Abid S, Thille AW, et al. Failure of noninvasive ventilation for de novo acute hypoxemic respiratory failure: role of tidal volume. Crit Care Med. 2016;44(2):282–90.

    Article  PubMed  Google Scholar 

  48. Brochard L, Slutsky A, Pesenti A. Mechanical ventilation to minimize progression of lung injury in acute respiratory failure. Am J Respir Crit Care Med. 2017;195(4):438–42.

    Article  PubMed  Google Scholar 

  49. Zhou X, Yao S, Dong P, Chen B, Xu Z, Wang H. Preventive use of respiratory support after scheduled extubation in critically ill medical patients-a network meta-analysis of randomized controlled trials. Crit Care. 2020;24(1):370.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Rochwerg B, Einav S, Chaudhuri D, Mancebo J, Mauri T, Helviz Y, et al. The role for high flow nasal cannula as a respiratory support strategy in adults: a clinical practice guideline. Intensive Care Med. 2020;46(12):2226–37.

    Article  PubMed  PubMed Central  Google Scholar 

  51. Earwaker M, Villar S, Fox-Rushby J, Duckworth M, Dawson S, Steele J, et al. Effect of high-flow nasal therapy on patient-centred outcomes in patients at high risk of postoperative pulmonary complications after cardiac surgery: a study protocol for a multicentre adaptive randomised controlled trial. Trials. 2022;23(1):232.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

This work was supported by the grants from Zhejiang Medicine and Health Science and Technology Project (No. 2019KY184; 2023KY1084) and the Project of NINGBO Leading Medical & Health Discipline (No. 2022-F16). The funders had no role in the study design, data collection, and analysis, decision to publish, or preparation of the manuscript.

Author information

Authors and Affiliations

Authors

Contributions

XZ designed the study, performed the data analysis, helped to select study, and drafted the manuscript. BC participated in the conception and design of the study, helped to perform the quality assessment and study selection, and revised the manuscript. JP and HW performed the database search and study selection, and helped to perform the data analysis. LZ and ZX performed the data extraction, quality assessment, and evidence rating. All the authors have read and approved the final manuscript.

Corresponding author

Correspondence to Bixin Chen.

Ethics declarations

Competing interests

The authors declare no competing interests.

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Additional information

Publisher’s Note

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

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary Material 1

Supplementary Material 2

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

Zhou, X., Pan, J., Wang, H. et al. Prophylactic noninvasive respiratory support in the immediate postoperative period after cardiac surgery - a systematic review and network meta-analysis. BMC Pulm Med 23, 233 (2023). https://doi.org/10.1186/s12890-023-02525-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12890-023-02525-1

Keywords