Skip to main content
Download PDF

Anesthesia interventions that alter perioperative mortality: a scoping review

Systematic Reviews volume 7, Article number: 218 (2018) Cite this article

Abstract

Background

With over 230 million surgical procedures performed annually worldwide, better application of evidence in anesthesia and perioperative medicine may reduce widespread variation in clinical practice and improve patient care. However, a comprehensive summary of the complete available evidence has yet to be conducted. This scoping review aims to map the existing literature investigating perioperative anesthesia interventions and their potential impact on patient mortality, to inform future knowledge translation and ultimately improve perioperative clinical practice.

Methods

Searches were conducted in MEDLINE, EMBASE, CINAHL, and the Cochrane Library databases from inception to March 2015. Study inclusion criteria were adult patients, surgical procedures requiring anesthesia, perioperative intervention conducted/organized by a professional with training in anesthesia, randomized controlled trials (RCTs), and patient mortality as an outcome. Studies were screened for inclusion, and data was extracted in duplicate by pairs of independent reviewers. Data were extracted, tabulated, and reported thematically.

Results

Among the 10,505 publications identified, 369 RCTs (n = 147,326 patients) met the eligibility criteria. While 15 intervention themes were identified, only 7 themes (39 studies) had a significant impact on mortality: pharmacotherapy (n = 23), nutritional (n = 3), transfusion (n = 4), ventilation (n = 5), glucose control (n = 1), medical device (n = 2), and dialysis (n = 1).

Conclusions

By mapping intervention themes, this scoping review has identified areas requiring further systematic investigation given their potential value for reducing patient mortality as well as areas where continued investment may not be cost-effective given limited evidence for improving survival. This is a key starting point for future knowledge translation to optimize anesthesia practice.

Background

Rationale

With more than 230 million major surgical procedures performed annually worldwide [1], better application of evidence in anesthesia and perioperative medicine has the potential to significantly improve patient safety, care, and satisfaction [2, 3]. Currently, as with many other specialities, anesthesiologists have large variations in practice and patient outcomes [4,5,6,7], with many examples of failure to follow best practices [8, 9]. For instance, the maintenance of perioperative normothermia has been shown to decrease the rate of surgical site infection by threefold [10,11,12,13,14,15]. However, while effective tools for maintaining normothermia exist, perioperative hypothermia continues to affect up to 20% of patients [15].

Clearly, the mere existence of best clinical evidence does not mean that it will be adopted into practice or improve patient outcomes [16]. Knowledge translation (KT) [17, 18] focuses on the effective implementation of best clinical practices, moving evidence to practice [19]. In anesthesiology, there have been few previous attempts to summarize comprehensively the broader peer-reviewed literature and those articles which have been published face methodological limitations [20, 21]. A comprehensive summary of the complete available evidence related to mortality has yet to be conducted.

Scoping reviews have been specifically described as a process of mapping the existing evidence, by providing a comprehensive and thorough review of the available literature [22]. They are particularly useful for complex fields, such as anesthesiology and perioperative medicine [23]. Unlike systematic reviews, scoping reviews summarize a range of evidence in order to convey the breadth and depth of evidence in a certain field [23]. In addition, scoping studies differ from systematic reviews because they address broad research questions and do not typically quantify the effect of interventions [24, 25]. Instead, a scoping review examines the extent, range, nature, and characteristics of the primary research and summarizes the evidence [22]. Scoping reviews are often preliminary to full systematic reviews when the field of research is broad and complex, such as anesthesiology and perioperative medicine, making the feasibility of a systematic review a concern because the potentially relevant literature is thought to be especially vast and diverse.

Methods

This scoping review is reported according to the PRISMA Extension for Scoping Reviews (PRISMA-ScR) Checklist [26]. We also followed the current framework developed by Arksey and O’Malley [22] and Levac et al. [27] in conducting this review. In order to achieve the purposes of the scoping review, we employed a five-stage framework: (1) identify the research question, (2) identify relevant published studies, (3) refine the study selection criteria, (4) collect the relevant data from each published article, and (5) collate, summarize, report, and interpret the results.

Objectives

Based on the existing gaps in the literature, we asked the following research question: What types of anesthesia-related interventions impact patients’ mortality?

Eligibility criteria

Based on the existing gaps in the literature, we asked the following research question: What types of anesthesia-related interventions impact patients’ mortality? We selected all articles published in journals that involved adult patients (≥ 16 years old) undergoing surgery and that evaluated an anesthesia-related intervention. Anesthesia-related interventions were defined as interventions provided in the perioperative period that either were, or could have been, performed, organized, or initiated by a healthcare professional with specific training in anesthesia. For example, the following interventions were included: perioperative administration of antibiotherapy [28], intraoperative remote ischemic preconditioning [29], and postoperative ventilation support [30]. Furthermore, studies involving surgical procedures involving local anesthesia only were excluded, as well as studies reporting perioperative interventions that are exclusively interested in comparing different surgical techniques (e.g., laparoscopic versus open surgery). The perioperative period referred to the time window from the initial preoperative anesthesia assessment before the surgery to the final care provided or organized by anesthesia providers following surgery. Therefore, the perioperative period was separated into three distinct phases: preoperative, intraoperative, and postoperative. We focused on the studies assessing mortality as an outcome and included randomized controlled trials (RCTs). The comparator group of the RCT was defined as either no treatment or usual standard of care. We did not impose a minimum sample size for included studies.

Information sources and search strategy

The initial search strategy was developed with the active contribution of experts in the methodology of conducting reviews (AS), a practicing anesthesiologist (SB), and a health sciences librarian (LAH).

The electronic databases MEDLINE, EMBASE, CINAHL, and the Cochrane Library were searched. Literature searches were performed without any language restrictions, but we only included articles published in English. The literature search was performed on March 5, 2015, without any year restriction. The MEDLINE search strategy underwent Peer Review of Electronic Search Strategies (PRESS) by a second trained information scientist [31, 32]. Search strategies can be found in Additional file 1. Reference lists of relevant systematic reviews were also searched to identify additional relevant studies. The final list of the included studies was also reviewed by the Perioperative Anesthesia Clinical Trials Group (PACT) for both completeness and relevance.

Selection of sources of evidence

The identified articles were merged into the web-based systematic review software DistillerSR (Evidence Partners, Ottawa, Canada), and duplicates were removed. The screening tools were developed by the research team and piloted with a subset of articles for refinement and reviewer calibration. Reviewers were trained on how to use DistillerSR (Evidence Partners, Ottawa, Canada) and to critically appraise articles according to the inclusion and exclusion criteria of this scoping review.

Articles were screened for eligibility by title and abstract by two individuals using the liberal accelerated screening approach [33]. This approach involved one reviewer screening citations by title and abstract using the screening tool based on the predetermined criteria. The selected studies classified as either “included” or “unclear” advanced to the subsequent screening stage. However, studies classified as “excluded,” were reviewed by the other reviewer to determine whether the exclusion criteria were properly met.

Following the completion of the title and abstract screening stage, the full texts of all qualified studies were reviewed in duplicate by six pairs of independent reviewers (DN, AB, SB, IC, CM, IM, TP, BW, SL, KM, JDW, NB) for compliance with eligibility criteria. Disagreements were resolved by consensus or referred to a third member of the research team for resolution. The list of included articles was reviewed by the investigators to determine if any additional articles should be included [34].

The accuracy of the included and excluded studies was verified using the artificial intelligence feature of DistillerSR (Evidence Partners, Ottawa, Canada).

Data charting process

A data extraction form was created and piloted by the research team. Six pairs of reviewers (DN, AB, SB, IC, CM, IM, TP, BW, SL, KM, JDW, NB) independently extracted the study characteristics and the mortality outcome from the included studies. We collected information on publication details (e.g., first author’s name, year of publication, study location) and information about the study details (e.g., study design; sample size; gender; age; ASA score; intervention details, such as duration and type; setting; perioperative phase; anesthesia type; comparator; and mortality outcome details, such as timing). The significance of the intervention on mortality is reported according to how it was defined by the study authors.

Where data was inadequately reported within the full-text article, we contacted the original authors for clarification and further details. Quality assessments of included studies were not reported because they are typically not completed during the scoping reviews [22].

Data items

This scoping review allowed for the development of anesthesia-related intervention themes that outline what evidence levels currently exist as well as the potential gaps in anesthesia research that may be further explored. Interventions were classified according to these themes and defined in Additional file 2. A list of themes was determined a priori, and reviewers could add new themes when a study did not fit any a priori theme.

Synthesis of results

The results of this scoping review were synthesized using both a numerical summary outlining the relevant characteristics of the included studies and a narrative synthesis interpreting the results (Additional files 3 and 4).

Results

Study selection

The literature search strategy yielded a total of 10,505 references, of which 1270 were duplicates. Nine additional studies were identified: eight from the reference list of a relevant systematic review and one identified by experts. After screening, 8768 references were excluded. A total of 369 references met the inclusion criteria (Fig. 1). The AI feature on DistillerSR (Evidence Partners, Ottawa, Canada) confirmed that all inclusions and exclusions were correct (i.e., the AI system did not identify any articles erroneously included or excluded by the human screeners).

Fig. 1
figure 1

PRISMA diagram

Full size image

Study characteristics

Details of the included study characteristics, participants, type of surgery, study design, and interventions are provided in Additional file 1. Of the 369 studies, 331 indicated data collection occurred in a single country. These locations are displayed in Fig. 2. One study did not report country of data collection. The remaining 37 studies indicated data collection was performed in more than one country. The largest number of trials was conducted in the USA (n = 69). Multicenter trials were conducted in 102 studies, with the remainder involving a single center. The 369 trials included a total of 147,326 participants (median 123, IQR 60–272).

Fig. 2
figure 2

Country of data collection for anesthesia-related interventions

Full size image

Anesthesia-related intervention theme, type of surgery and perioperative phase

The most common anesthesia-related intervention theme found was pharmacotherapy (201 included studies [54%]; 104,413 patients [71%]) followed by nutritional interventions (28 studies [8%]; 5191 patients [4%]) (Table 1). Most studies (n = 180 studies [49%]; n = 95,119 patients [65%]) involved interventions spanning more than one perioperative phase (i.e., various combinations of preoperative, intraoperative, and postoperative phases) (Table 2). The most common type of surgery reported was cardiac surgery (n = 151 studies [41%]; n = 63,738 patients [43%]), followed by general surgery (n = 66 studies [18%]; n = 13,458 patients [9%]) and vascular surgery (n = 31 studies [8%]; n = 6404 patients [4%]).

Table 1 Anesthesia-related intervention themes by number of studies and patients
Full size table
Table 2 Perioperative phase of anesthesia-related interventions according to the number of studies and patients
Full size table

Mortality outcome of anesthesia-related interventions

The vast majority of included studies showed no statistically significant effect on mortality (n = 330 [89%] studies; n = 117,905 [80%] patients).

Only 39 studies (11%) representing 29,421 patients (20%) reported a significant difference in mortality, with either a decrease (n = 30 [77%] “significant” studies; n = 10,660 [36%] patients), an increase (n = 8 [21%] studies; n = 18,459 [63%] patients), or both depending on the time at which mortality was measured (n = 1 [3%] study; n = 302 [1%] patients). The following intervention themes were represented: pharmacotherapy (n = 23 [59%] studies; n = 23,322 [79%] patients), nutritional (n = 3 [8%] studies; n = 797 [3%] patients), transfusion (n = 4 [10%] studies; n = 1558 [5%] patients), ventilation (n = 5 [13%] studies; n = 1602 [5%] patients), medical device (n = 2 [5%] studies; n = 550 [2%] patients), dialysis-related (n = 1 [3%] study; n = 44 [0.1%] patients), and glucose control (n = 1 [3%] study; n = 1548 [5%] patients).

Interventions that impact survival

Only seven themes were represented among the anesthesia interventions that were associated with altered mortality rates (Fig. 3). For each intervention theme, we discuss only those studies that reported a statistically significant effect on patient mortality.

Fig. 3
figure 3

Impact of anesthesia-related interventions on mortality

Full size image

Pharmacotherapy interventions

As shown in Table 3, a total of 23 publications (23,322 patients) were identified for anesthesia-related pharmacotherapy interventions which significantly impacted mortality. Of these studies, 6 (26%) reported an increase in mortality (n = 17,050 [73%] patients) while 17 (74%) reported a decrease in mortality (n = 6272 [27%] patients). Most studies that reported a significant impact on mortality (n = 15 [65%]; n = 13,368 [57%] patients) reported mortality as a primary outcome. The most frequent type of surgery involved was cardiac (n = 10 [43%]; n = 12,045 [52%] patients). Pharmacotherapy interventions involved a wide variety of pharmacotherapy and dosing regimens, with the interventions most commonly occurring across more than one surgical phase (n = 18 [78%]; n = 13,302 [57%] patients).

Table 3 Summary of mortality outcome for pharmacotherapy interventions for a significant difference in mortality
Full size table

Nutritional interventions

Table 4 reports the three nutritional interventions (n = 797 patients), identified as having a significant impact on mortality. Of these studies, one (33%) reported an increase in mortality (n = 27 [3%] patients) [35], one (33%) reported a decrease in mortality (n = 468 [59%] patients) [36], and one (33%) reported an increase in mortality in-hospital, but a decrease in deaths occurring at 4 months (n = 302 [38%] patients) [37]. Each study implemented a distinct nutritional intervention, and each involved a different field of surgery (thoracic, orthopedic, cardiac, colorectal). Mortality was reported as a primary outcome in two of the studies, with both finding an increase in mortality. Of the three different nutritional interventions, two were given pre- and postoperatively and one was given postoperatively only.

Table 4 Summary of mortality outcome for nutritional interventions for significant difference in mortality
Full size table

Transfusion interventions

As shown in Table 5, four transfusion interventions demonstrated a significant decrease in mortality (n = 1558 patients). Two studies involved transfusion of leuko-depleted red blood cells during cardiac surgery [38, 39]. Each study assessed mortality as a secondary outcome, either in-hospital or until 60 days following surgery. Another study [40] involved orthopedic surgery and the perioperative transfusion of hemoglobin at a threshold of 10.0 g/dL. Mortality was assessed as a secondary outcome at 30 days. The final study [41] involved pre- and postoperative administration of subcutaneous erythropoietin (r-HuEPO at 300 IU/kg) plus IV iron (100 mg). Survival at 1 year was assessed, but it was not reported whether this was a primary or secondary outcome.

Table 5 Summary of mortality outcome for transfusion interventions for a significant difference in mortality
Full size table

Ventilation interventions

Five ventilation interventions (n = 1602 patients) had a statistically significant impact on mortality. Two were administered intraoperatively and postoperatively [42, 43], and three were administered only postoperatively [30, 44, 45] (Table 6). Non-invasive ventilation decreased in-hospital mortality in three studies (n = 183 [11%] patients) [30, 44, 45]. It was also found by one study to decrease mortality at 120 days [30]. The intervention which decreased mortality at 60 days (n = 37 [2%] patients) involved intentionally increasing oxygen delivery to > 600 ml/min/m2 [42]. The intervention which increased mortality at 2 years (n = 1382 [86%] patients) involved giving patients an FiO2 of 0.80 after intubation and for 2 h after surgery [43]. All but one study [30] assessed mortality as a primary outcome.

Table 6 Summary of mortality outcome for ventilation interventions for a significant difference in mortality
Full size table

Other significant interventions

Four studies investigating three other anesthesia-related interventions that statistically significantly impacted mortality are shown in Table 7 (n = 2142 patients). These included use of a device (n = 2 [50%], n = 550 [26%] patients) [46, 47], dialysis (n = 1 [25%], n = 44 [2%] patients) [48], and glucose control (n = 1 [25%], n = 1548 [72%] patients) [49]. Intraoperative devices significantly decreased mortality in-hospital, at 30 days and at 1 year for patients who underwent cardiac surgery. Mortality was assessed as a secondary outcome in one study [46], while the other did not report whether it was a primary or secondary outcome [47]. The dialysis intervention was implemented pre- and postoperatively, involved cardiac surgery, and showed decreased in-hospital mortality. It was not specified whether mortality was considered a primary or secondary outcome. Finally, the glucose control intervention was implemented postoperatively, did not report the type of surgery, and decreased mortality (primary and secondary outcome).

Table 7 Summary of mortality outcome for device, dialysis, and glucose control interventions for a significant difference in mortality
Full size table

Discussion

This scoping review presents the current evidence relevant to anesthesiologists and policy-makers, highlighting anesthesia-related evidence-based interventions that impact the mortality of adult surgical patients (n = 39 RCTs; 29,421 patients). By identifying the nature and distribution of studies as well as the potential value of various anesthesia-related interventions for reducing mortality, this review can be used to identify future directions for perioperative research to translate evidence into practice and improve standardization of care.

Among the 15 themes of anesthesia-related interventions identified, only 7 themes demonstrated a significant impact on mortality: pharmacotherapy, nutrition, transfusion, glucose control, device, dialysis, and ventilation. Each of these themes (with the exception of dialysis) was also identified by Landoni et al. in a recently updated consensus on randomized evidence for the reduction of perioperative mortality [50]. The consensus process followed the first systematic review of RCTs on non-surgical interventions with mortality differences in the operative period [21]. It is therefore a strength of our study to confirm the findings of Landoni et al. [21, 50] and to build upon this important foundation in perioperative research. We also included studies with non-significant findings in our review, which are important for practitioners to consider.

Within the identified anesthesia-related intervention themes, 39 studies (29,421 patients) demonstrated an impact on mortality, either positive or negative. Of the 30 studies where the implemented intervention decreased mortality, 17 involved pharmacotherapies. Thus, pharmacotherapy interventions may have a great potential to reduce mortality among surgical patients. It is interesting to note that the importance of pharmacotherapy on mortality was also found by Landoni et al. [50]. Although they used a different methodology and categorized interventions into different themes, Landoni et al. also found over half of the themes (7/13) related closely to pharmacotherapy. Thus, future research may investigate the generalizability of the effect of specific types of pharmacotherapy and dosages to perioperative survival in a broader variety of surgical populations.

The institutional context where these interventions are applied may also require more systematic reporting and further investigations. For example, McIsaac et al. recently demonstrated that the “hip fracture surgery patients at hospitals that use more than 20 to 25% neuraxial anesthesia have improved survival independent of patient-level anesthesia type and other confounders” [51]. Although broad categorizations of interventions are a useful starting point, one may hypothesize that other traditionally overlooked variables may need to be accounted for to better understand the effect of an intervention. For example, variables such as the type of institution, the implementation process of implementation, or local organization of care may help understanding the part of the effect of an intervention.

In addition to pharmacotherapy, other intervention themes were found promising to reduce mortality: ventilation, transfusion, nutrition, glucose control, dialysis, and medical device. Though these themes had a limited number of studies demonstrating a decrease in mortality, they may be encouraging to investigate further. For example, systematic reviews may explore nutritional or ventilation-related interventions to precisely identify promising practices within these themes that improve morbidity in addition to mortality. This is particularly important given the perceived importance of many of these interventions to practicing clinicians as determined in the Landoni et al. consensus study [50]. Clearly establishing the benefits of these types of interventions is important to facilitate their widespread uptake by clinicians if supported by the available evidence.

Though many promising types of interventions were identified, it is noteworthy that none of the included RCTs investigated the impact of “non-traditional interventions” such as team training [52] or hypnosedation [53] on perioperative mortality. These types of interventions may require more exploratory work in perioperative medicine and could be used in future knowledge translation initiatives if found to be effective. It is also interesting to note that the vast majority of included studies investigated a single type of intervention. Given the low mortality rate in perioperative medicine, at least in high-income Western countries, it may be useful in the future to combine themes and interventions in bundle or multifaceted interventions to further decrease mortality with adequate power.

An additional target for improvement in perioperative research highlighted by our scoping review is standardization in outcome measurement. Even with mortality as an outcome, we observed variability in the definition used based on the time window, cause of death, or mode of data collection considered. A common, well-accepted definition of outcomes may facilitate interpretation of future studies. To this end, several recent initiatives have been launched to tackle the issue of core outcome selection and definition [54,55,56,57]. Mortality has been identified as a core outcome measure within these initiatives, but as this scoping review demonstrates, the perioperative and anesthesia-research community must still determine the most effective way to measure and report it. This could have significant implications for interpretations of intervention effectiveness.

Our scoping review should be interpreted in light of several limitations. Firstly, the majority of published studies were not sufficiently powered to observe a statistical impact on mortality; the sample sizes were small, on average. Perioperative mortality is increasingly rare and is estimated at only 0.1 to 0.2% of healthy elective patients when measuring in-hospital mortality [58] and around a 4% 1-year mortality rate after major non-cardiac surgery [59]. While only 39 included studies found a significant impact of the intervention on mortality, this may be due to the fact that most studies included mortality as a non-primary outcome. The lack of power to assess mortality may have resulted in a type II error (i.e., failure to observe a difference where one exists). However, this scoping review should be considered as an initial step to guide the field of perioperative research. Secondly, for feasibility reasons, we elected to include only RCTs that considered mortality outcome. There are of course many other meaningful outcome measures that are clinically relevant to surgical patients. However, mortality may be appropriate as a starting point.

Thirdly, although we followed rigorous and standardized methods, it is likely that relevant studies were missed. Due to the process of conducting systematic and scoping reviews through a literature search strategy and screening, studies could not be included if neither the title nor the abstract mentioned any term related to mortality. For example, some studies mention somewhere in the results section an absence of deaths during the study, although mortality was not reported in the title or abstract, or included in the methods [60]. Nevertheless, when the title, abstract, and/or keywords of a study do not accurately reflect all outcomes examined, this presents a significant challenge for literature analysis in anesthesia and increases the potential for missing studies. It is also possible that some articles may not have had appropriate perioperative subject headings in MEDLINE or perioperative keywords included in the abstract, which would have resulted in them not being retrieved by our search. Future work in anesthesia should aim to accurately index all RCTs. A search filter developed specifically for anesthesia would also be of value and should consider subject headings for the perioperative period that reference preoperative, intraoperative, and postoperative time frames. To mitigate the current problem of standardized literature searching in anesthesia, we used artificial intelligence and expert review.

Finally, there are limitations to the depth of analysis for a scoping review. Therefore, as per scoping review methods, the intention is to map out a field of evidence rather than to thoroughly analyze each trial. The identification of gaps in the existing literature should be cautiously interpreted since the quality of evidence is not typically assessed during scoping reviews [23]. These last two limitations may lead to misleading conclusions about the nature and extent of the gaps in the present research. However, the information reported in this scoping review provides a broad overview about the nature and distribution of studies involved with perioperative anesthesia interventions. Future steps could include systematic reviews on individual themes to provide more specific insight into these questions with a narrower focus.

Future systematic reviews conducted to formally synthesize specific intervention themes identified by this scoping review should examine clinical, methodological, and statistical heterogeneity and conduct meta-analyses as appropriate.

Conclusion

This scoping review described intervention themes based on existing anesthesia research. As a result, it has identified areas requiring further systematic investigation given their potential value for reducing patient mortality as well as areas where continued investment may not be cost-effective based on limited or no evidence for enhancing patient outcome. Accordingly, this scoping review provides a starting point for future knowledge translation designed to optimize anesthesia practice.

Abbreviations

AI:

Artificial Intelligence

KT:

Knowledge translation

ND:

No significant change

NR:

Not reported

PRESS:

Peer Review of Electronic Search Strategies

RCT:

Randomized controlled trial

References

  1. Weiser TG, Regenbogen SE, Thompson KD, et al. An estimation of the global volume of surgery: a modelling strategy based on available data. Lancet. 2008;372(9633):139–44. https://0-doi-org.brum.beds.ac.uk/10.1016/S0140-6736(08)60878-8S0140-6736(08)60878-8 [pii].

    Article  PubMed  Google Scholar 

  2. Meakins JL, Giobbie-Hurder A, Jonasson O, et al. Evidence-based surgery. Surg Clin North Am. 2006;86(1):1–16, vii. https://0-doi-org.brum.beds.ac.uk/10.1016/j.suc.2005.10.004.

    Article  PubMed  Google Scholar 

  3. Hackbarth AD, Hackbarth AD. Eliminating waste in US health care. JAMA. 2012;307(14):1513. https://0-doi-org.brum.beds.ac.uk/10.1001/jama.2012.362.

    Article  PubMed  Google Scholar 

  4. Beaupre LA, Jones CA, Saunders LD, Johnston DWC, Buckingham J, Majumdar SR. Best practices for elderly hip fracture patients. J Gen Intern Med. 2005;20(11):1019–25. https://0-doi-org.brum.beds.ac.uk/10.1111/j.1525-1497.2005.00219.x.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Mazzocco K, Petitti DB, Fong KT, et al. Surgical team behaviors and patient outcomes. Am J Surg. 2009;197(5):678–85. https://0-doi-org.brum.beds.ac.uk/10.1016/j.amjsurg.2008.03.002.

    Article  PubMed  Google Scholar 

  6. Pronovost PJ, Rinke ML, Emery K, Dennison C, Blackledge C, Berenholtz SM. Interventions to reduce mortality among patients treated in intensive care units. J Crit Care. 2004;19(3):158–64. https://0-doi-org.brum.beds.ac.uk/10.1016/j.jcrc.2004.07.003.

    Article  PubMed  Google Scholar 

  7. Shehata N, Wilson K, Mazer CD, et al. The proportion of variation in perioperative transfusion decisions in Canada attributable to the hospital. Can J Anesth Can d’anesthésie. 2007;54(11):902–7. https://0-doi-org.brum.beds.ac.uk/10.1007/BF03026794.

    Article  Google Scholar 

  8. Kalhan R, Mikkelsen M, Dedhiya P, et al. Underuse of lung protective ventilation: analysis of potential factors to explain physician behavior*. Crit Care Med. 2006;34(2):300–6. https://0-doi-org.brum.beds.ac.uk/10.1097/01.CCM.0000198328.83571.4A.

    Article  PubMed  Google Scholar 

  9. Weller JM, Merry AF. I. Best practice and patient safety in anaesthesia. Br J Anaesth. 2013;110(5):671–3. https://0-doi-org.brum.beds.ac.uk/10.1093/bja/aet011.

    Article  CAS  PubMed  Google Scholar 

  10. Kirkland KB, Briggs JP, Trivette SL, Wilkinson WE, Sexton DJ. The impact of surgical-site infections in the 1990s: attributable mortality, excess length of hospitalization, and extra costs. Infect Control Hosp Epidemiol. 1999;20(11):725–30. https://0-doi-org.brum.beds.ac.uk/10.1086/501572.

    Article  CAS  PubMed  Google Scholar 

  11. Boyce JM, Potter-Bynoe G, Dziobek L. Hospital reimbursement patterns among patients with surgical wound infections following open heart surgery. Infect Control Hosp Epidemiol. 1990;11(2):89–93. https://0-doi-org.brum.beds.ac.uk/10.2307/30144267.

    Article  CAS  PubMed  Google Scholar 

  12. Asensio Vegas A, Monge Jodra V, Lizán García M, Asensio Vegasi A, Lizan Garcia M. Nosocomial infection in surgery wards: a controlled study of increased duration of hospital stays and direct cost of hospitalization. Source Eur J Epidemiol Eur J Epidemiol Eur J Epidemiol. 1993;9(5):504–10 http://0-www-jstor-org.brum.beds.ac.uk/stable/3520947. Accessed 25 May 2017.

    Google Scholar 

  13. Poulsen KB, Bremmelgaard A, Sorensen AI, Raahave D, Petersen JV. Estimated costs of postoperative wound infections: a case-control study of marginal hospital and social security costs. Epidemiol Infect. 1994;113:283–95 https://www-ncbi-nlm-nih-gov.proxy1.lib.uwo.ca/pmc/articles/PMC2271539/pdf/epidinfect00047-0085.pdf. Accessed 25 May 2017.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Kurz A, Sessler DI, Lenhardt R. Perioperative normothermia to reduce the incidence of surgical-wound infection and shorten hospitalization. N Engl J Med. 1996;334(19):1209–16. https://0-doi-org.brum.beds.ac.uk/10.1056/NEJM199605093341901.

    Article  CAS  PubMed  Google Scholar 

  15. Harper CM, Andrzejowski JC, Alexander R. NICE and warm. Br J Anaesth. 2008;101(3):293–5. https://0-doi-org.brum.beds.ac.uk/10.1093/bja/aen233.

    Article  CAS  PubMed  Google Scholar 

  16. Cheng D, Martin J. Evidence-based practice and health technology assessment: a call for anesthesiologists to engage in knowledge translation. Can J Anesth Can d’anesthésie. 2011;58(4):354–63. https://0-doi-org.brum.beds.ac.uk/10.1007/s12630-011-9463-0.

    Article  Google Scholar 

  17. Graham ID, Logan J, Harrison MB, et al. Lost in knowledge translation: time for a map? J Contin Educ Heal Prof. 2006;26(1):13–24. https://0-doi-org.brum.beds.ac.uk/10.1002/chp.47.

    Article  Google Scholar 

  18. Tricco AC, Cogo E, Ashoor H, et al. Sustainability of knowledge translation interventions in healthcare decision-making: protocol for a scoping review. BMJ Open. 2013;3(5):e002970. https://0-doi-org.brum.beds.ac.uk/10.1136/bmjopen-2013-002970.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Straus S, Tetroe J, Graham I. Knowledge translation in health care: moving from evidence to practice. London: BMJ Books; 2013.

  20. Rodgers A, Walker N, Schug S, et al. Reduction of postoperative mortality and morbidity with epidural or spinal anaesthesia: results from overview of randomised trials. BMJ. 2000;321(7275):1493 http://www.bmj.com.proxy1.lib.uwo.ca/content/321/7275/1493.long. Accessed 25 May 2017.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Landoni G, Rodseth RN, Santini F, et al. Randomized evidence for reduction of perioperative mortality. J Cardiothorac Vasc Anesth. 2012;26(5):764–72. https://0-doi-org.brum.beds.ac.uk/10.1053/j.jvca.2012.04.018.

    Article  PubMed  Google Scholar 

  22. Arksey H, O’Malley L. Scoping studies: towards a methodological framework. Int J Soc Res Methodol. 2005;8(1):19–32. https://0-doi-org.brum.beds.ac.uk/10.1080/1364557032000119616.

    Article  Google Scholar 

  23. Armstrong R, Hall BJ, Doyle J, Waters E. “Scoping the scope” of a Cochrane review. J Public Health (Bangkok). 2011;33(1):147–50. https://0-doi-org.brum.beds.ac.uk/10.1093/pubmed/fdr015.

    Article  Google Scholar 

  24. Rumrill PD, Fitzgerald SM, Merchant WR. Using scoping literature reviews as a means of understanding and interpreting existing literature. Work. 2010;35(3):399–404. https://0-doi-org.brum.beds.ac.uk/10.3233/WOR-2010-0998.

    Article  PubMed  Google Scholar 

  25. Brien SE, Lorenzetti DL, Lewis S, Kennedy J, Ghali WA. Overview of a formal scoping review on health system report cards. Implement Sci. 2010;5(1):2. https://0-doi-org.brum.beds.ac.uk/10.1186/1748-5908-5-2.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Tricco AC, Lillie E, Zarin W, et al. PRISMA Extension for Scoping Reviews (PRISMA-ScR): checklist and explanation. Ann Intern Med. 2018;169(7):467–73. https://0-doi-org.brum.beds.ac.uk/10.7326/M18-0850.

    Article  PubMed  Google Scholar 

  27. Levac D, Colquhoun H, O’Brien K. Scoping studies: advancing the methodology. Implement Sci. 2010;5(69):1–9. https://0-doi-org.brum.beds.ac.uk/10.1111/j.1468-0009.2005.00403.x.

    Article  Google Scholar 

  28. Warters R, Szmuk P, Pivalizza E, Gebhard R, Ezri T. Preoperative antibiotic prophylaxis: the role of the anesthesiologist. Anesthesiology. 2003;99(2):515–6 http://anesthesiology.pubs.asahq.org/article.aspx?articleid=1943451. Accessed 4 Aug 2017.

    Article  Google Scholar 

  29. Healy DA, Clarke Moloney M, McHugh SM, Grace PA, Walsh SR. Remote ischaemic preconditioning as a method for perioperative cardioprotection: concepts, applications and future directions. Int J Surg. 2014;12(10):1093–9. https://0-doi-org.brum.beds.ac.uk/10.1016/j.ijsu.2014.08.352.

    Article  PubMed  Google Scholar 

  30. Auriant I, Jallot A, Hervé P, et al. Noninvasive ventilation reduces mortality in acute respiratory failure following lung resection. Am J Respir Crit Care Med. 2001;164(7):1231–5. https://0-doi-org.brum.beds.ac.uk/10.1164/ajrccm.164.7.2101089.

    Article  CAS  PubMed  Google Scholar 

  31. Sampson M, McGowan J, Cogo E, Grimshaw J, Moher D, Lefebvre C. An evidence-based practice guideline for the peer review of electronic search strategies. J Clin Epidemiol. 2009;62(9):944–52. https://0-doi-org.brum.beds.ac.uk/10.1016/j.jclinepi.2008.10.012.

    Article  PubMed  Google Scholar 

  32. McGowan J, Sampson M, Lefebvre C. An Evidence Based Checklist for the Peer Review of Electronic Search Strategies (PRESS EBC). Evid Based Libr Inf Pract. 2010;5(1):149. https://0-doi-org.brum.beds.ac.uk/10.18438/B8SG8R.

    Article  Google Scholar 

  33. Khangura S, Konnyu K, Cushman R, Grimshaw J, Moher D. Evidence summaries: the evolution of a rapid review approach. Syst Rev Rev. 2012;1:10. https://0-doi-org.brum.beds.ac.uk/10.7326/0003-4819-148-10-200805200-00010.

    Article  Google Scholar 

  34. Moher D, Squires JE, Kolehmainen N, et al. Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA Statement. Ann Intern Med. 2009;151(4):264. https://0-doi-org.brum.beds.ac.uk/10.7326/0003-4819-151-4-200908180-00135.

    Article  PubMed  Google Scholar 

  35. Cooper S, Hulley C, Grimley C, et al. Perioperative peripheral parenteral nutrition for patients undergoing esophagectomy for cancer: a pilot study of safety, surgical, and nutritional outcomes. Int J Surg. 2006;91:358–64.

    Google Scholar 

  36. Wu G, Liu Z, Wu Z. Perioperative artificial nutrition in malnourished gastrointestinal cancer patients. World J Gastroenterol. 2006;12(15):2441–4.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Duncan DG, Duncan DG, Beck SJ, Hood K, Johansen A. Using dietetic assistants to improve the outcome of hip fracture: a randomised controlled trial of nutritional support in an acute trauma ward. Age Ageing. 2005;35:148–53. https://0-doi-org.brum.beds.ac.uk/10.1093/ageing/afj011.

    Article  PubMed  Google Scholar 

  38. Bilgin YM. Double-blind, randomized controlled trial on the effect of leukocyte-depleted erythrocyte transfusions in cardiac valve surgery. Circulation. 2004;109(22):2755–60. https://0-doi-org.brum.beds.ac.uk/10.1161/01.CIR.0000130162.11925.21.

    Article  CAS  PubMed  Google Scholar 

  39. van de Watering LM, Hermans J, Houbiers JG, et al. Beneficial effects of leukocyte depletion of transfused blood on postoperative complications in patients undergoing cardiac surgery: a randomized clinical trial. Circulation. 1998;97(6):562–8 http://0-www-ncbi-nlm-nih-gov.brum.beds.ac.uk/pubmed/9494026. Accessed 4 Sept 2018.

    Article  CAS  PubMed  Google Scholar 

  40. Foss NB, Tange Kristensen M, Søe Jensen P, Palm H, Krasheninnikoff M, Kehlet H. The effects of liberal versus restrictive transfusion thresholds on ambulation after hip fracture surgery. Transfusion. 2009;49(2):227–34. https://0-doi-org.brum.beds.ac.uk/10.1111/j.1537-2995.2008.01967.x.

    Article  PubMed  Google Scholar 

  41. Kosmadakis N, Messaris E, Maris A, et al. Perioperative erythropoietin administration in patients with gastrointestinal tract cancer prospective randomized double-blind study. Annals of surgery. 2003;237(3):417 https://v2dis-prod.evidencepartners.com/Generic/getAttachment2.php?id=225. Accessed 25 Oct 2017.

    PubMed  PubMed Central  Google Scholar 

  42. Lobo SM, Salgado PF, Castillo VG, et al. Effects of maximizing oxygen delivery on morbidity and mortality in high-risk surgical patients. Crit Care Med. 2000;28(10):3396–404. https://0-doi-org.brum.beds.ac.uk/10.1097/00003246-200010000-00003.

    Article  CAS  PubMed  Google Scholar 

  43. Meyhoff CS, Jorgensen LN, Wetterslev J, Christensen KB, Rasmussen LS. Increased long-term mortality after a high perioperative inspiratory oxygen fraction during abdominal surgery: follow-up of a randomized clinical trial. Anesth Analg. 2012;115(4):849–54. https://0-doi-org.brum.beds.ac.uk/10.1213/ANE.0b013e3182652a51.

    Article  PubMed  Google Scholar 

  44. Antonelli M, Conti G, Bufi M, et al. Noninvasive ventilation for treatment of acute respiratory failure in patients undergoing solid organ transplantation. JAMA. 2000;283(2):235. https://0-doi-org.brum.beds.ac.uk/10.1001/jama.283.2.235.

    Article  CAS  PubMed  Google Scholar 

  45. Zhu GF, Wang DJ, Lui S, et al. Efficacy and safety of noninvasive positive pressure ventilation in the treatment of acute respiratory failure after cardiac surgery. Chin Med J. 2013;126(2009):4463–9. https://0-doi-org.brum.beds.ac.uk/10.3760/cma.j.issn.0366-6999.20131704.

    Article  PubMed  Google Scholar 

  46. Thielmann M, Kottenberg E, Kleinbongard P, et al. Cardioprotective and prognostic effects of remote ischaemic preconditioning in patients undergoing coronary artery bypass surgery: a single-centre randomised, double-blind, controlled trial. Lancet. 2013;382(17):597–604. https://0-doi-org.brum.beds.ac.uk/10.1016/S0140-6736(13)61450-6.

    Article  PubMed  Google Scholar 

  47. Qiu Z, Chen X, Xu M, et al. Evaluation of preoperative intra-aortic balloon pump in coronary patients with severe left ventricular dysfunction undergoing OPCAB surgery: early and mid-term outcomes. J Cardiothorac Surg. 2009;4(1):39. https://0-doi-org.brum.beds.ac.uk/10.1186/1749-8090-4-39.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Durmaz I, Yagdi T, Calkavur T, et al. Prophylactic dialysis in patients with renal dysfunction undergoing on-pump coronary artery bypass surgery. Ann Thorac Surg. 2003;75(02):859–64. https://0-doi-org.brum.beds.ac.uk/10.1016/S0003-4975(02)04635-0.

    Article  PubMed  Google Scholar 

  49. Van den Berghe G, Wouters P, Weekers F, et al. Intensive insulin therapy in critically ill patients. N Engl J Med. 2001;345(19) https://v2dis-prod.evidencepartners.com/Generic/getAttachment2.php?id=1414. Accessed 25 Oct 2017.

  50. Landoni G, Pisano A, Lomivorotov V, et al. Randomized evidence for reduction of perioperative mortality: an updated consensus process. J Cardiothorac Vasc Anesth. 2017;31(2):719–30. https://0-doi-org.brum.beds.ac.uk/10.1053/j.jvca.2016.07.017.

    Article  PubMed  Google Scholar 

  51. McIsaac DI, Wijeysundera DN, Huang A, Bryson GL, van Walraven C. Association of hospital-level neuraxial anesthesia use for hip fracture surgery with outcomes. Anesthesiology. 2018;128(3):480–91. https://0-doi-org.brum.beds.ac.uk/10.1097/ALN.0000000000001899.

    Article  PubMed  Google Scholar 

  52. Neily J, Mills PD, Young-Xu Y, et al. Association between implementation of a medical team training program and surgical mortality. JAMA. 2010;304(15):1693–700. https://0-www-ncbi-nlm-nih-gov.brum.beds.ac.uk/pubmed/20959579.

  53. Meurisse M, Hamoir E, Defechereux T, et al. Bilateral neck exploration under hypnosedation: a new standard of care in primary hyperparathyroidism? Ann Surg. 1999;229(3):401–8 https://0-www-ncbi-nlm-nih-gov.brum.beds.ac.uk/pmc/articles/PMC1191706/pdf/annsurg00003-0115.pdf. Accessed 2 Oct 2017.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  54. Williamson PR, Altman DG, Bagley H, et al. The COMET handbook: version 1.0. Trials. 2017;18(S3):280. https://0-doi-org.brum.beds.ac.uk/10.1186/s13063-017-1978-4.

    Article  PubMed  PubMed Central  Google Scholar 

  55. Grocott M, Myles P, Moonesinghe R, Boney O. Core Outcome Measures in Perioperative and Anaesthetic Care (COMPAC): Core Outcome Measures in Effectiveness Trials Initiative (COMET). 2017 http://www.comet-initiative.org/studies/details/632. Published. Accessed 15 Dec 2017.

    Google Scholar 

  56. Shulman M, Myles P. Measuring perioperative outcome. Curr Opin Anaesthesiol. 2016;29(6):733–8. https://0-doi-org.brum.beds.ac.uk/10.1097/ACO.0000000000000383.

    Article  PubMed  Google Scholar 

  57. Myles PS, Grocott MPW, Boney O, et al. Standardizing end points in perioperative trials: towards a core and extended outcome set. Br J Anaesth. 2016;116(5):586–9. https://0-doi-org.brum.beds.ac.uk/10.1093/bja/aew066.

    Article  CAS  PubMed  Google Scholar 

  58. National Confidential Enquiry into Patient Outcome and Death, Findley G. Knowing the risk: a review of the peri-operative care of surgical patients: summary.; 2011.

    Google Scholar 

  59. McIsaac D, Lavallée LT, van Walraven C. A retrospective assessment of prognostication in 456,685 patients undergoing elective major non-cardiac surgery. Can J Anesth Can d’anesthésie. 2017;64(9):908–18. https://0-doi-org.brum.beds.ac.uk/10.1007/s12630-017-0909-x.

    Article  Google Scholar 

  60. Harsten A, Kehlet H, Toksvig-Larsen S. Recovery after total intravenous general anaesthesia or spinal anaesthesia for total knee arthroplasty: a randomized trial†. This article is accompanied by editorial IV. Br J Anaesth. 2013;111(3):391–9. https://0-doi-org.brum.beds.ac.uk/10.1093/bja/aet104.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

The authors thank Lee-Anne Ufholz, information specialist, for her help with the literature search.

Funding

This research was funded by a University of Ottawa Anesthesia Research operating grant. Drs. Boet, Lalu, and McIsaac were supported by the Ottawa Hospital Anesthesia Alternate Funds Association, and Dr. Boet was also supported by the Canadian Anesthesia Research Foundation through the Canadian Anesthesiologists’ Society (CAS) Career Scientist Award in Anesthesia. DSR licenses were funded by the Department of Anesthesiology and Pain Medicine of The Ottawa Hospital.

Availability of data and materials

The datasets generated and/or analyzed during the current study are available from the corresponding author on reasonable request.

Author information

Authors and Affiliations

  1. Department of Anesthesiology and Pain Medicine, The Ottawa Hospital, University of Ottawa, General Campus, 501 Smyth Rd, Critical Care Wing 1401, Ottawa, Ontario, K1H 8L6, Canada

    Sylvain Boet, Cassandra T. Mendonca, Isaac Miao, José De Wit, Karim Mohamed, Daniel I McIsaac & Donald Miller

  2. Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada

    Cole Etherington, David Moher & Adrienne Stevens

  3. Family Medicine, McGill University, Montreal, Canada

    David Nicola

  4. Knowledge Synthesis Group, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada

    Andrew Beck

  5. Department of Anesthesia, University of Toronto, Toronto, Canada

    Susan Bragg

  6. Faculty of Medicine, University of Ottawa, Ottawa, Canada

    Ian D. Carrigan & Sarah Larrigan

  7. University of Ottawa, Ottawa, Canada

    Sarah Larrigan

  8. Department of Anesthesiology, McGill University, Montreal, Quebec, Canada

    Tatyana Postonogova

  9. Department of Anesthesia, University of Utah, Salt Lake City, UT, 84132, USA

    Benjamin Walker

  10. Department of Family Medicine, Montfort Hospital, University of Ottawa, Ottawa, Canada

    Nadia Balaa

  11. Department of Anesthesiology and Pain Medicine, The Ottawa Hospital, Ottawa, Canada

    Manoj Mathew Lalu

  12. Clinical Epidemiology and Regenerative Medicine Programs, Ottawa Hospital Research Institute, Ottawa, Canada

    Manoj Mathew Lalu

  13. School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, K1G 5Z3, Canada

    Daniel I McIsaac

Authors
  1. Sylvain Boet
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Cole Etherington
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. David Nicola
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Andrew Beck
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Susan Bragg
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Ian D. Carrigan
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Sarah Larrigan
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Cassandra T. Mendonca
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Isaac Miao
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Tatyana Postonogova
    View author publications

    You can also search for this author in PubMed Google Scholar

  11. Benjamin Walker
    View author publications

    You can also search for this author in PubMed Google Scholar

  12. José De Wit
    View author publications

    You can also search for this author in PubMed Google Scholar

  13. Karim Mohamed
    View author publications

    You can also search for this author in PubMed Google Scholar

  14. Nadia Balaa
    View author publications

    You can also search for this author in PubMed Google Scholar

  15. Manoj Mathew Lalu
    View author publications

    You can also search for this author in PubMed Google Scholar

  16. Daniel I McIsaac
    View author publications

    You can also search for this author in PubMed Google Scholar

  17. David Moher
    View author publications

    You can also search for this author in PubMed Google Scholar

  18. Adrienne Stevens
    View author publications

    You can also search for this author in PubMed Google Scholar

  19. Donald Miller
    View author publications

    You can also search for this author in PubMed Google Scholar

Consortia

On behalf of the Perioperative Anesthesia Clinical Trials Group (PACT)

Contributions

All authors have a substantial contribution to the conception and design, acquisition of data, or analysis and interpretation of data; drafted the article and revised it critically for important intellectual content; approved the final version to be published; and agreed to be accountable for all aspects of the work thereby ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

Corresponding author

Correspondence to Sylvain Boet.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

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

Additional files

Additional file 1:

Search strategies. (DOCX 14 kb)

Additional file 2:

Intervention themes and definitions. (DOCX 15 kb)

Additional file 3:

Study and population characteristics. (DOCX 127 kb)

Additional file 4:

PRISMA Checklist. (PPT 2341 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Boet, S., Etherington, C., Nicola, D. et al. Anesthesia interventions that alter perioperative mortality: a scoping review. Syst Rev 7, 218 (2018). https://0-doi-org.brum.beds.ac.uk/10.1186/s13643-018-0863-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://0-doi-org.brum.beds.ac.uk/10.1186/s13643-018-0863-x

Keywords

Systematic Reviews

ISSN: 2046-4053