Abstract
Objectives
We sought to i) characterize the rationale underpinning anesthesiologists use of various perioperative strategies hypothesized to impact renal function in adult patients undergoing cardiac surgery, ii) characterize existing belief about the quality of evidence addressing the renal impact of these strategies, and iii) identify potentially reno-protective strategies for which anesthesiologists would most value a detailed, evidence-based review.
Design
Survey of perioperative practice in adult patients undergoing cardiac surgery.
Setting
On-line survey.
Participants
Members of the Society of Cardiovascular Anesthesiologists (SCA).
Interventions
None
Measurements & Main Results
The survey was distributed to more than 2000 SCA members and completed in whole or in part by 202 respondents. Selection of target intraoperative blood pressure (and relative hypotension avoidance) was the strategy most frequently reported to reflect belief about its potential renal effect (79%; 95% CI 72–85%). Most respondents believed the evidence supporting an effect on renal injury of intraoperative target blood pressure during cardiac surgery was of high or moderate quality. Other factors, including a specific non-renal rationale, surgeon preference, department- or institution-level decisions, tradition or habit were also frequently reported to impact decision making across queried strategies. Potentially reno-protective strategies most frequently requested for inclusion in a subsequent detailed, evidence-based review were intraoperative target blood pressure and choice of vasopressor agent to achieve target pressure.
Conclusions
A large number of perioperative strategies are variably believed to impact renal injury in adult patients undergoing cardiac surgery, with wide variation in perceived quality of evidence for a renal effect of these strategies.
Keywords: perioperative, thoracic surgery, acute kidney injury
Introduction
Acute kidney injury (AKI) is a major complication after cardiac surgery, typically occurring in 20–30% of patients, and associated with increased length of stay, cost, development of chronic kidney disease and mortality.1–5 Many strategies have been suggested to potentially mitigate perioperative AKI.6, 7 However, the growing number of studies reporting on such strategies, with marked variation in study quality, impact and reproducibility make it challenging for the busy anesthesiologist to be confident that their practice reflects best available evidence for perioperative renal protection. As part of its commitment to patient safety, quality and education the Society of Cardiovascular Anesthesiologists (SCA) is currently developing a Continuing Practice Improvement (CPI) document to help busy anesthesiologists maintain a robust, evidence-based inventory of strategies aimed at providing renal protection in clinical practice for adult patients undergoing cardiac surgery.
The complexity of perioperative clinical decision making has been described.8 For the cardiac anesthesiologist, decision making may involve cognitive integration of the available scientific evidence for a strategy’s impact on multiple (potentially competing) organ systems, together with resource availability, existing beliefs, practice patterns or culture, and more. Currently, there is little known about the rationale behind clinical decision making for specific practice strategies hypothesized to impact perioperative renal function, the level of certainty that clinicians believe support the renal effect of such strategies, nor specific reno-protective strategies for which anesthesiologists would most value an up-to-date, evidence-based review.
The objective of the current survey was to inform and focus the SCA’s forthcoming CPI document reviewing perioperative reno-protective strategies so that it best meet the needs of members. Specific aims of the survey were to i) characterize the rationale underpinning anesthesiologists use of various perioperative strategies hypothesized to impact renal function, ii) characterize existing belief about the quality of evidence currently addressing the renal impact of these strategies, and iii) identify specific strategies for which SCA members would most value a detailed, evidence-based review to update their perioperative reno-protective effort in adult patients undergoing cardiac surgery.
Materials and methods
In line with SCA policy, the survey was approved by the Research Committee of the SCA for distribution to SCA members. After reviewing a description of the proposed survey plan, including a copy of planned survey questions, the Institutional Review Board of Vanderbilt University Medical Center deemed the research exempt from further IRB review.
Survey development
A 17 question survey was developed for on-line administration via the REDCap® platform by members of the SCA’s Continuing Practice Improvement (CPI) Acute Kidney Injury Working Group. The first eleven questions were each presented in two parts, designated A and B, as multiple-choice questions with 7 and 5 response options, respectively. These questions sought to identify A) the rationale underlying current clinical decision making for strategies hypothesized to impact perioperative AKI, and B) the level of scientific evidence that clinicians believe support the effect on renal injury of each strategy, as a measure of the certainty with which they currently practice. The intraoperative strategies addressed by these 11 questions were drafted by one member of the AKI Working Group (DRM) and then reviewed and modified through an iterative process involving other AKI Working Group members to include the following: intraoperative use of volatile anesthetic agents, administered FiO2, target blood pressure and specific vasopressors used to manage hypotension, use of chloride-rich (versus buffered) IV fluid solutions, erythrocyte transfusion threshold, glycemic management strategy, alpha-2 agonist administration, IV steroid administration, diuretic administration in the context of oliguria, and use of a goal-directed algorithm for oxygen delivery while on cardiopulmonary bypass (CPB). Each of these strategies, applied in some form during the perioperative period, has been previously evaluated in observational studies or clinical trials for an association with AKI after cardiac surgery.9–19 The order of presentation of response options for questions 1–11A was randomly varied while response options for questions 1–11B were presented in a consistent and logically ordered sequence. For each of questions 1–11A more than one response could be selected while for questions 1–11B only one response could be selected (Figure 1). Question 12 asked respondents to select up to five potentially reno-protective strategies from a suite of 16 options for which they would most value a detailed, evidence-based review. The options included each of the strategies presented in questions 1–11 as well as several additional potentially reno-protective strategies (the KDIGO bundle-of-care,20 remote ischemic preconditioning, the time interval from cardiac catheterization and contrast exposure to cardiac surgery, prophylactic administration of sodium bicarbonate and the use of adjunctive regional anesthesia/analgesia). Questions 13–16 sought to characterize the respondent’s geographic region of practice, level of training and type and volume of cardiac anesthesia practice via finite multiple-choice responses while question 17 invited any free-text comments on the survey. Start-time and end-time of participation were recorded allowing calculation of time taken to complete the survey. No personal information was collected nor were incentives to participate offered. After clicking the hyperlink to accept the invitation to participate 17 questions were then presented over 13 screens to all respondents. Progress to each subsequent screen of questions was achieved by clicking a button labelled “Next Page”. Answering the questions on a given screen was not required to advance to the next screen; after advancing to each subsequent screen there was no opportunity to return to a previous screen to review or modify answers. Prior to distribution to the entire SCA membership the survey was first piloted among members of the SCA’s 2020–2021 Quality and Safety Leadership (QSL) Committee and members of the CPI-AKI Working Group, testing survey usability, functionality, timing and inviting specific feedback via the final question of the survey or via direct email to the one of the investigators (DRM). A limited response (n=6) confirmed functionality with no changes suggested as a result of this testing.
Figure 1.

Response options for Questions 1–11 A and B of the survey
Survey distribution
The survey was distributed via email by SCA administrative personnel to the SCA membership on June 23, 2020 (Supplemental Digital Content 1). E-mail blasts were repeated on July 7 and July 21, 2020 irrespective of previous response status. A fourth and final email was sent July 28, 2020 with the aim of increasing the number of respondents. In each case the email provided a brief description of the purpose of the survey, emphasizing the voluntary nature of participation, the anticipated time required for completion, and requesting that members complete the survey only once. No additional techniques were used to prevent or detect duplicate responses. Final responses were collected for analysis on August 5, 2020.
Statistical analysis
Final survey response data were downloaded from REDCap® on August 5th, 2020 as a .csv file and imported into Stata 12 (Stata Corporation version 12, College Station, Tx) for subsequent analysis. Analysis was predominantly descriptive with counts and proportions provided for responses to each question, and then stratified according to practice type, level of training and caseload with use of the chi2 statistic or Fisher’s exact test. For each question the number of respondents providing a response to that question constituted the denominator for the purposes of analysis, with data from all available responses included for analysis of each question unless otherwise stated. P-values <0.05 were considered statistically significant. Reporting of the survey results was guided by the CHEcklist for Reporting Results of Internet E-Surveys (CHERRIES).21
Results
Survey response metrics
The email invitation to participate was successfully sent to 3152, 2092, 2082 and 2070 email addresses on the four dates described above (Supplemental Digital Content 2). The survey was entered on 260 occasions and completed, in whole or in part, by 202 respondents. Fifty-eight participants did not provide any responses to survey questions after entering the survey platform and were not included in further analysis. Median (interquartile range) time to complete the survey was 8 (6–12) minutes. Of respondents who provided demographic details 65% (n=106) were based in academic or university practice, with the remainder in private practice; 85% (n=141) were from North America; 73% (n=120) had completed training that included a cardiothoracic anesthesia fellowship, 26% (42) had completed training that did not include a cardiothoracic anesthesia fellowship and 1% (n=2) were currently in training; finally, during a typical year 47% of respondents reported providing anesthesia for >100 patients, 44% provide anesthesia for 50–100 patients, and 10% provide anesthesia for <50 patients undergoing cardiac surgical procedures (Figure 2 a–d).
Figure 2.

Respondent demographics by a) geographic location of practice, b) type of practice, c) level of training, and d) annual case volume of cardiac surgical procedures
Renal rationale for using various strategies
Across each of the eleven strategies queried the proportion of respondents reporting that multiple rationale influenced their clinical decision making for any given strategy ranged from 35–63%. The perioperative strategy most frequently reported to reflect respondent belief about the renal effect of the strategy was selection of intraoperative target blood pressure range (79%; 95% CI 72–85%) [Table 1]. The hemoglobin threshold for erythrocyte transfusion was reported to reflect belief about renal effects of transfusion and anemia by 63% (95% CI 55–70%) of respondents while 54% (95% CI 47–62%) and 50% (95% CI 42–58%) reported that their choice of whether to use a chloride-rich or buffered IV fluid and whether or not to administer a diuretic to prevent or treat oliguria, respectively, reflected their belief about the renal effect of these strategies. Choice of specific vasopressor to treat intraoperative hypotension (43%; 95% CI 35–50%), use of a protocol for goal-directed delivery of O2 while on CPB (40%; 95% CI 32–48%), intraoperative glucose management strategy (37%; 95% CI 29–45%) and selection of intraoperative FiO2 (35%; 95% CI 28–42%) were each reported to reflect belief about the renal effect of these strategies by more than one third of respondents, while the choice of whether or not to use alpha-2 agonist agents (25%; 95% CI 19–32%), intraoperative steroid (25%; 95% CI 18–32%) and administration of a volatile anesthetic agent (18%; 95% CI 13–24%) were less frequently reported to reflect respondent belief about the renal effect of these strategies. With the exception of volatile anesthetic agent administration these responses did not vary according to type of practice, fellowship training or case volume (Supplemental Digital Content 3, Table 1).
Table 1.
Rationale for clinical decision making for strategies that might impact perioperative renal injury
| Potentially reno-protective strategy | Rationale for clinical decision making n % (95% CI)a |
|||||||
|---|---|---|---|---|---|---|---|---|
| No. of respondents (N) | Potential renal effects | Another specific (but non-renal) rationale | Tradition or habit | Department/institutional decision or policy | Resource availability | Surgical preference | Other | |
|
| ||||||||
| Q1. Use of a (specific) volatile anesthetic agent | 200 | N=36 18 (13–24)% |
N=71 36 (29–43)% |
N=106 53 (46–60)% |
N=54 27 (21–34)% |
N=59 30 (23–36)% |
N=12 6 (3–10)% |
N=9 5 (2–8)% |
| Q2. Intraoperative FiO2 | 192 | N=67 35 (28–42)% |
N=115 60 (53–67)% |
N=77 40 (33–47)% |
N=14 7 (4–12)% |
N=3 2 (0–4)% |
N=6 3 (1–7)% |
N=6 3 (1–7)% |
| Q3. Intraoperative target blood pressure range | 186 | N=147 79 (72–85)% |
N=79 42 (35–50)% |
N=35 19 (13–25)% |
N=24 13 (8–19)% |
N=6 3 (1–7)% |
N=61 33 (26–40)% |
N=2 1 (0–4)% |
| Q4. Chloride-rich vs buffered IV fluid | 181 | N=98 54 (47–62)% |
N=55 30 (24–38)% |
N=55 30 (24–38)% |
N=46 25 (19–32)% |
N=30 17 (11–23)% |
N=20 11 (7–17)% |
N=8 4 (2–9)% |
| Q5. Specific vasopressor for intraoperative hypotension | 174 | N=74 43 (35–50)% |
N=89 51 (43–59)% |
N=67 39 (31–46)% |
N=28 16 (11–22)% |
N=34 20 (14–26)% |
N=54 31 (24–38)% |
N=9 5 (2–10)% |
| Q6. Hb threshold for erythrocyte transfusion | 172 | N=108 63 (55–70)% |
N=87 51 (43–58)% |
N=34 20 (14–27)% |
N=46 27 (20–34)% |
N=21 12 (8–18)% |
N=66 38 (31–46)% |
N=7 4 (2–8)% |
| Q7. Intraoperative alpha-2 agonist | 171 | N=43 25 (19–32)% |
N=90 53 (45–60)% |
N=37 22 (16–29)% |
N=42 25 (18–32)% |
N=31 18 (13–25)% |
N=23 13 (9–19)% |
N=17 10 (6–15)% |
| Q8. Intraoperative IV steroid | 170 | N=42 25 (18–32)% |
N=88 52 (44–59)% |
N=34 20 (14–27)% |
N=33 19 (14–26)% |
N=3 2 (0–5)% |
N=50 29 (23–37)% |
N=14 8 (5–13)% |
| Q9. Protocol for goal-directed O2 delivery on CPB | 165 | N=66 40 (32–48)% |
N=51 31 (24–39)% |
N=43 26 (20–33)% |
N=35 21 (15–28)% |
N=15 9 (5–15)% |
N=58 35 (28–43)% |
N=10 6 (3–11)% |
| Q10. Diuretic to prevent/ treat oliguria | 165 | N=83 50 (42–58)% |
N=52 32 (25–39)% |
N=44 27 (20–34)% |
N=20 12 (8–18)% |
N=7 4 (2–9)% |
N=45 27 (21–35)% |
N=17 10 (6–16)% |
| Q11. Intraoperative glucose management | 166 | 61 37 (29–45)% |
89 54 (46–61)% |
34 20 (15–27)% |
107 64 (57–72)% |
10 6 (3–11)% |
37 22 (16–29)% |
6 4 (1–8)% |
Proportion (95% CI) calculated using the number of respondents to each specific question (1–11A) as the denominator
Respondent-perceived level of evidence for a renal effect of various strategies
Almost 80% of respondents stated that, in their opinion, the evidence supporting an effect on renal injury of target intraoperative blood pressure during cardiac surgery was of high (n=46; 25% [95% CI 19–31%]) or moderate (n=101; 54% [95% CI 47–61%]) quality (Table 2). More than half of respondents reported that the quality of evidence supporting an effect on renal injury of the hemoglobin threshold used to guide erythrocyte transfusion was moderate (n=99; 58% [95% CI 50–65%]), while 17% (95% CI 12–23%; n=30) and 14% (95% CI 9–19%; n=24) believed the quality of evidence for such an effect was high, and low or very low, respectively. For the IV administration of chloride-rich versus buffered crystalloid solution, the most frequent belief was that the quality of evidence supporting an effect of chloride-rich fluid on renal injury was moderate (41%; 95% CI 34–48% [n=74]) but included a spread from high quality (18%; 95% CI 12–23% [n=32]) to low or very low quality (20%; 95% CI 15–26% [n=37]), as well as explicit uncertainty about the quality of evidence (20%; 95% CI 15–26% [n=37]). More than a quarter (27%; 95% CI 20–34% [n=45]) of respondents believed there to be high quality evidence supporting an effect on renal injury from intraoperative glycemic management in adult patients undergoing cardiac surgery, while a further 39% (95% CI 32–47%; n=65) of respondents reported the quality of evidence for an effect on renal injury from such a strategy to be moderate. Explicit uncertainty about the quality of evidence supporting an effect on renal injury from selection of intraoperative FiO2, intraoperative volatile anesthetic administration, and intraoperative dexmedetomidine was reported by 46% (95% CI 39–53%; n=89), 41% (95% CI 34–48%; n=83) and 41% (95% CI 34–48%; n=70) of respondents, respectively. There was weak evidence that belief regarding the quality of evidence supporting an effect of intraoperative target blood pressure on renal injury may vary between respondents in academic practice and private practice (Supplemental Digital Content 3, Table 2). For all other interventions queried, belief about the level of evidence supporting an effect on renal injury from these strategies did not vary according to type of practice (academic versus private) nor whether or not respondents had completed a cardiothoracic anesthesia fellowship as part of their training.
Table 2.
Clinician perceived level (quality) of evidence for a renal effect of various perioperative strategies
| Clinician perceived level (quality) of evidence for a renal effect of various perioperative strategies % (95% CI)a |
||||||
|---|---|---|---|---|---|---|
|
| ||||||
| N | High | Moderate | Low or very low | Unsure | Other | |
|
| ||||||
| Q1 (Specific) volatile anesthetic agent | 202 | 0 (0–1) | 15 (10–20) | 43 (36–50) | 41 (34–48) | 0 (0–1) |
| Q2 FiO2 | 192 | 2 (0–3) | 21 (15–27) | 31 (25–38) | 46 (39–53) | - |
| Q3 Target intraoperative BP | 186 | 25 (19–31) | 54 (47–61) | 13 (9–18) | 8 (4–11) | - |
| Q4 Chloride content of IV fluid | 181 | 18 (12–23) | 41 (34–48) | 20 (15–26) | 20 (15–26) | 1 (0–2) |
| Q5 Vasopressor agent | 176 | 10 (6–15) | 36 (29–43) | 37 (30–44) | 16 (11–22) | - |
| Q6 Transfusion threshold | 172 | 17 (12–23) | 58 (50–65) | 14 (9–19) | 11 (6–16) | - |
| Q7 Alpha-2 | 171 | 6 (2–9) | 20 (14–26) | 32 (25–39) | 41 (34–48) | 1 (0–3) |
| Q8 Steroid | 170 | 10 (5–15) | 11 (6–16) | 41 (34–49) | 35 (28–42) | 2 (0–5) |
| Q9 Goal-directed O2 delivery protocol on CPB | 165 | 10 (6–15) | 33 (26–41) | 24 (17–30) | 32 (25–39) | 1 (0–2) |
| Q10 Diuretic | 166 | 12 (7–17) | 30 (23–37) | 38 (31–45) | 19 (13–25) | 1 (0–2) |
| Q11 Glycemic management strategy | 166 | 27 (20–34) | 39 (32–47) | 20 (14–26) | 13 (8–18) | 1 (0–2) |
Proportion (95% CI) calculated using multinomial logistic regression
Non-renal rationale for using various strategies
A specific non-renal rationale was also frequently reported to influence clinical practice decisions across queried perioperative strategies. More than half of respondents reported the influence of such factors in their selection of intraoperative FiO2, intraoperative glucose management, steroid and alpha-2 agonist administration, choice of specific vasopressor to treat hypotension and selection of a hemoglobin threshold to trigger erythrocyte transfusion. Tradition or habit was most frequently reported to influence use of a volatile anesthetic agent (53%; 95% CI 46–60%), followed by selection of intraoperative FiO2 (40%; 95% CI 33–47%) and the specific vasopressor used to treat intraoperative hypotension (39%; 95% CI 31–46%); other strategies were less frequently (19–30%) reported to be influenced by habit. Department- or institution-level decisions were most frequently reported to influence intraoperative glycemic management strategy (64%; 95% CI 57–72%). Surgeon preference was most frequently reported to influence choice of hemoglobin threshold for erythrocyte transfusion (38%; 95% CI 31–46%), use of a protocol for goal-directed oxygen delivery during CPB (35%; 95% CI 28–43%) as well as selection of both an intraoperative target blood pressure range (33%; 95% CI 26–40%) and selection of the specific vasopressor agent used to treat hypotension (31%; 95% CI 24–38%). Resource availability was reported to influence a decision regarding volatile anesthetic agent use by 30% (95% CI 23–36%) of respondents but had much less influence (2–20%) on other decisions (Table 1).
Perioperative strategies requested for evidence-based review
When asked to nominate potentially reno-protective strategies for which respondents would most value a detailed, evidence-based review intraoperative target blood pressure (65%; 95% CI 57–72%) and choice of specific vasopressor agent (61%; 95% CI 53–68%) were the most frequently selected responses, followed by intraoperative hemoglobin threshold for erythrocyte transfusion (39%; 95% CI 32–47%), goal-directed delivery of O2 while on CPB (38%; 95% CI 31–46%), the KDIGO bundle-of-care20 (34%; 95% CI 27–42%) and intraoperative use of dexmedetomidine (33%; 95% CI 26–41%) [Figure 3].
Figure 3.

Reno-protective strategies (proportion of respondents and 95% CI’s) for which respondents would most value a detailed evidence-based review
Discussion
We surveyed the SCA’s membership seeking to i) characterize the rationale underpinning anesthesiologists use of eleven perioperative strategies hypothesized to impact perioperative renal injury, ii) characterize existing belief about the quality of evidence currently addressing the renal impact of these strategies, and iii) seek direction from the membership as to which potentially reno-protective perioperative strategies they would most value a detailed, evidence-based review from the SCA’s CPI Working Group for AKI.
Selection of an intraoperative target blood pressure (79%; 95% CI 72–85%), hemoglobin threshold for erythrocyte transfusion (63%; 95% CI 55–70%), choice of chloride-rich versus buffered IV fluid solution (54%; 95% CI 47–62%) and whether or not to administer a diuretic to prevent or treat oliguria (50%; 95% CI 42–58%) were the perioperative strategies for which clinical decision making most frequently reflected a respondent’s belief about the renal effect of such strategies. For every strategy queried the most common belief regarding the quality of evidence supporting the strategy’s effect on perioperative renal injury was “moderate”, “low or very low” or “unsure”, the first two responses both consistent with a belief that the current effect estimate for the intervention is likely to change with further research. Intraoperative target blood pressure and specific choice of vasopressor agent, followed by the hemoglobin threshold for erythrocyte transfusion, goal-directed O2 delivery on CPB, the KDIGO bundle-of-care recommended in the KDIGO AKI guidelines20 and use of alpha-2 agonists such as dexmedetomidine were the perioperative strategies for which a detailed review of the evidence was most frequently requested.
For every one of the eleven strategies queried in our survey at least some respondents (range: 18–79%) reported that their clinical decision making reflected, at least in part, a belief about the potential renal effect of the strategy. This suggests remarkable breadth of strategies currently employed with reno-protective intent by members, together with a lack of consensus among respondents for any single perioperative strategy to impact renal injury. Our survey also suggests the integration of multiple factors to influence the use of specific strategies hypothesized to impact perioperative renal injury. Across each of the eleven strategies queried 35–63% of respondents reported that at least two factors influenced their clinical decision making, supporting the multi-faceted nature of these decisions and suggesting influence from beyond the anesthesiologist’s evaluation of specific patient factors. Surgeon preference was reported by approximately one-third of respondents to influence both intraoperative target blood pressure, hemoglobin threshold for erythrocyte transfusion and use of a protocol for goal-directed O2 delivery on CPB. More than half of respondents reported the influence of an institutional or departmental policy on their intraoperative glycemic strategy. These findings support the significance of stakeholders beyond the anesthesiologist to existing patterns of practice and the potential challenges associated with driving practice change, even when evidence-based, within a complex system.22
For most perioperative strategies queried there was marked variation in the perceived quality of evidence supporting an effect of the strategy on perioperative renal injury and, in some cases, this appeared significantly misaligned with existing data. A quarter of respondents reported the quality of evidence supporting an effect of intraoperative target blood pressure on renal injury was high, while more than half reported the evidence for such an effect to be of moderate quality. In fact, there is limited observational data supporting an association between lower intraoperative blood pressure and postoperative AKI in patients undergoing cardiac surgery. Three randomized trials have reported renal outcomes when testing the effect of a higher compared to lower target blood pressure in patients undergoing cardiac surgery. In each case the higher target blood pressure was implemented during CPB only, with no evidence of a reno-protective effect,9, 23, 24 supporting the findings of a recent Consensus Conference on cardiac surgery associated AKI that there was insufficient data to guide a recommendation for intraoperative target blood pressure.25 While there was a high level of explicit uncertainty about the quality of evidence supporting an effect of intraoperative FiO2, choice of volatile agent and intraoperative dexmedetomidine on renal injury, almost a quarter of respondents believed the quality of evidence supporting an effect of intraoperative glycemic management strategy on renal injury to be high while a further one-third believed it to be of moderate quality. Most of the trial data evaluating the impact of glycemic management strategy comes from a critical care context, typically comparing so-called tight glucose control to more conventional thresholds of treatment, with mixed results and uncertain generalizability to the intraoperative period.20 A single-center randomized trial of tight (target 80–100 mg/dl) versus conventional (target <200 mg/dl) intraoperative glucose control conducted in 371 patients undergoing cardiac surgery noted an increased stroke risk in the intensive therapy group but no difference in renal injury between groups.26 A recent meta-analysis identified two further small randomized trials of intraoperative glycemic management strategy in cardiac surgery addressing renal outcomes, failing to identify any renal effect of the strategy.7 Understanding the reason for wide inter-individual differences in perceived level of evidence associated with various strategies is beyond the scope of the current survey. Large volumes of constantly evolving evidence, together with the clinical research expertise required for correct interpretation of often conflicting clinical studies may both contribute. Most importantly, it highlights the potentially valuable role for regularly updated CPI documents from professional bodies such as the SCA, succinctly summarizing the existing evidence (and areas of ongoing uncertainty) to support up-to-date and evidence-based practice by clinicians.
Respondents provided clear indication that the potential reno-protective role of intraoperative target blood pressure and the agent(s) used to achieve target blood pressure are of great interest. Despite limited evidence to inform these important questions a concise summary of the currently available evidence will be an essential component of the forthcoming AKI CPI document. Based on our results, the evidence for any reno-protective effect of varied erythrocyte transfusion strategies, goal-directed O2 delivery on CPB, the KDIGO bundle-of-care20 and alpha-2 agonists such as dexmedetomidine will also require concise review to provide user-oriented and evidence-based recommendations to members.
Limitations:
The response rate to the survey was lower than previous surveys of the SCA membership that were conducted using similar methodology.27–29 This had a modest impact on the precision of estimates from our sample (maximal 95% CI ±8%, compared to ±4% with 500 respondents) but did limit the opportunity for meaningful subgroup exploration. Previous authors have emphasized the greater importance of “response representativeness” over actual response rate.30 Non-responder bias is an inherent risk to all surveys and difficult to evaluate. Pragmatic suggestions to explore for evidence of such bias include comparing the demographics of respondents with the known demographics of the target population.31 Demographics of respondents to the current survey (academic vs. private practice, case volume, level of training and geographic location) appear broadly comparable to that reported by a selection of previously published surveys of the SCA membership, supporting the absence of identifiable non-responder bias within these domains.27–29 Anesthesiologists have been variably affected by the COVID-19 pandemic, including increased workload with high-risk exposure for some, and a decreased workload for others.32 It remains unknown if and how this disruption may have impacted response rates. Additionally, survey fatigue may have contributed to our reduced response rate. A recent survey of Canadian physician specialists identified survey burden and lack of time for completion as the main reason for initial survey non-response.33 The SCA membership was surveyed at least seven times during 2020, and likely more often if non-SCA survey requests were also able to be considered. Finally, the list of perioperative strategies queried by our survey was not comprehensive. Other strategies (e.g. remote ischemic preconditioning, atrial natriuretic peptide, the KDIGO bundle-of-care34–36) have been investigated for a potential reno-protective effect and our results may not be generalizable to these strategies. However, we sought to include strategies with broad availability, applicability and contemporary relevance, together with a pragmatic requirement to limit survey length to minimize incomplete responses.31 Despite these limitations the current survey provides valuable information to focus the forthcoming CPI document on potentially reno-protective perioperative strategies of greatest interest to the SCA membership.
In summary, we confirmed the large number of perioperative strategies currently and variably believed to impact perioperative renal injury for adult patients undergoing cardiac surgery as well as wide variation in the perceived quality of evidence for the effect of these strategies on perioperative renal injury. We also identified potentially reno-protective perioperative strategies for which members would most value a detailed, evidence-based review to guide their practice. This information will aid in focusing the forthcoming CPI document from the SCA’s AKI Working Group to best meet the clinical decision-making needs of members.
Supplementary Material
Footnotes
Declarations of Interest: Drs. McIlroy and Shore-Lesserson are members of the editorial board of the Journal of Cardiothoracic and Vascular Anesthesia.
Declaration of interests
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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References
- 1.Dasta JF, Kane-Gill SL, Durtschi AJ, et al. Costs and outcomes of acute kidney injury (AKI) following cardiac surgery. Nephrol Dial Transplant 2008;23:1970–1974. [DOI] [PubMed] [Google Scholar]
- 2.Ricci Z, Cruz D, Ronco C. The RIFLE criteria and mortality in acute kidney injury: A systematic review. Kidney Int 2007;73:538–546. [DOI] [PubMed] [Google Scholar]
- 3.Robert AM, Kramer RS, Dacey LJ, et al. Cardiac surgery-associated acute kidney injury: A comparison of two consensus criteria. Ann Thorac Surg 2010;90:1939–1943. [DOI] [PubMed] [Google Scholar]
- 4.Xu JR, Zhu JM, Jiang J, et al. Risk factors for long-term mortality and progressive chronic kidney disease associated with acute kidney injury after cardiac surgery. Medicine (Baltimore) 2015;94:e2025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Hoste EAJ, Vandenberghe W: Epidemiology of cardiac surgery-associated acute kidney injury. Best Pract Res Clin Anaesthesiol 2017;31:299–303. [DOI] [PubMed] [Google Scholar]
- 6.O’Neal JB, Shaw AD, Billings FT 4th: Acute kidney injury following cardiac surgery: Current understanding and future directions. Crit Care 2016;20:187. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Pathak S, Olivieri G, Mohamed W et al. Pharmacological interventions for the prevention of renal injury in surgical patients: A systematic literature review and meta-analysis. Br J Anaesth 2021;126:131–138. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Stiegler MP, Tung A. Cognitive processes in anesthesiology decision making. Anesthesiology 2014;120:204–217. [DOI] [PubMed] [Google Scholar]
- 9.Azau A, Markowicz P, Corbeau JJ, et al. Increasing mean arterial pressure during cardiac surgery does not reduce the rate of postoperative acute kidney injury. Perfusion 2014;29:496–504. [DOI] [PubMed] [Google Scholar]
- 10.Bonanni A, Signori A, Alicino C, et al. Volatile anesthetics versus propofol for cardiac surgery with cardiopulmonary bypass: Meta-analysis of randomized trials. Anesthesiology 2020;132:1429–1446. [DOI] [PubMed] [Google Scholar]
- 11.Garg AX, Chan MTV, Cuerden MS, et al. Effect of methylprednisolone on acute kidney injury in patients undergoing cardiac surgery with a cardiopulmonary bypass pump: A randomized controlled trial. CMAJ 2019;191:E247–E256. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Hajjar LA, Vincent JL, Barbosa Gomes Galas FR, et al. Vasopressin versus norepinephrine in patients with vasoplegic shock after cardiac surgery: The VANCS randomized controlled trial. Anesthesiology 2017;126:85–93. [DOI] [PubMed] [Google Scholar]
- 13.Lassnigg A, Donner E, Grubhofer G, et al. Lack of renoprotective effects of dopamine and furosemide during cardiac surgery. J Am Soc Nephrol 2000;11:97–104. [DOI] [PubMed] [Google Scholar]
- 14.Mazer CD, Whitlock RP, Fergusson DA, et al. Restrictive or liberal red-cell transfusion for cardiac surgery. N Engl J Med 2017;377:2133–2144. [DOI] [PubMed] [Google Scholar]
- 15.McGuinness SP, Parke RL, Drummond K, et al. A multicenter, randomized, controlled phase IIb trial of avoidance of hyperoxemia during cardiopulmonary bypass. Anesthesiology 2016;125:465–473. [DOI] [PubMed] [Google Scholar]
- 16.McIlroy D, Murphy D, Kasza J, et al. Effects of restricting perioperative use of intravenous chloride on kidney injury in patients undergoing cardiac surgery: The LICRA pragmatic controlled clinical trial. Intensive Care Med 2017;43:795–806. [DOI] [PubMed] [Google Scholar]
- 17.Peng K, Li D, Applegate RL 2nd, et al. Effect of dexmedetomidine on cardiac surgery-associated acute kidney injury: A meta-analysis with trial sequential analysis of randomized controlled trials. J Cardiothorac Vasc Anesth 2020;34:603–613. [DOI] [PubMed] [Google Scholar]
- 18.Ranucci M, Johnson I, Willcox T, et al. Goal-directed perfusion to reduce acute kidney injury: A randomized trial. J Thorac Cardiovasc Surg 2018;156:1918–1927. [DOI] [PubMed] [Google Scholar]
- 19.Wahby EA, Abo Elnasr MM, Eissa MI, et al. Perioperative glycemic control in diabetic patients undergoing coronary artery bypass graft surgery. J Egyptian Soc Cardiothorac Surg 2016;24:143–149. [Google Scholar]
- 20.Kidney disease: Improving global outcomes (KDIGO) Acute Kidney Injury Work Group. KDIGO Clinical Practice Guideline for Acute Kidney Injury. Kidney Int. Suppl 2012;2:1–138. [Google Scholar]
- 21.Eysenbach G: Improving the quality of web surveys: The Checklist for Reporting Results of Internet E-Surveys (CHERRIES). J Med Internet Res 2004;6:e34. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Fielden J, Duncan T. Medical leadership in perioperative practice: II BJA Educ 2016;16:209–212. [Google Scholar]
- 23.Siepe M, Pfeiffer T, Gieringer A, et al. Increased systemic perfusion pressure during cardiopulmonary bypass is associated with less early postoperative cognitive dysfunction and delirium. Eur J Cardiothoracic Surg 2011;40:200–207. [DOI] [PubMed] [Google Scholar]
- 24.Vedel AG, Holmgaard F, Rasmussen LS, et al. : High-target versus low-target blood pressure management during cardiopulmonary bypass to prevent cerebral injury in cardiac surgery patients: A randomized controlled trial. Circulation 2018;137:1770–1780. [DOI] [PubMed] [Google Scholar]
- 25.Nadim MK, Forni LG, Bihorac A, et al. Cardiac and vascular surgery-associated acute kidney injury: The 20th international consensus conference of the ADQI (Acute Disease Quality Initiative) group. J Am Heart Assoc 2018;7:e008834. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Gandhi GY, Nuttall GA, Abel MD, et al. Intensive intraoperative insulin therapy versus conventional glucose management during cardiac surgery: A randomized trial. Ann Intern Med 2007;146:233–243. [DOI] [PubMed] [Google Scholar]
- 27.McIlroy DR, Lin E, Hastings S, et al. Intraoperative transesophageal echocardiography for the evaluation and management of diastolic dysfunction in patients undergoing cardiac surgery: A survey of current practice. J Cardiothorac Vasc Anesth 2016;30:389–397. [DOI] [PubMed] [Google Scholar]
- 28.Krause M, Morabito JE, Mackensen GB, et al. Current neurologic assessment and neuroprotective strategies in cardiac anesthesia: A survey to the membership of the Society of Cardiovascular Anesthesiologists. Anesth Analg 2020;131:518–526. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Sniecinski RM, Bennett-Guerrero E, Shore-Lesserson L. Anticoagulation management and heparin resistance during cardiopulmonary bypass: A survey of Society of Cardiovascular Anesthesiologists members. Anesth Analg 2019;129:e41–e44. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Cook C, Heath F, Thompson RL. A meta-analysis of response rates in web- or internet-based surveys. Educ Psychol Meas 2000;60:821–836. [Google Scholar]
- 31.Story DA, Tait AR: Survey research. Anesthesiology 2019;130:192–202. [DOI] [PubMed] [Google Scholar]
- 32.Miller TR, Radcliff TA. Economic shocks from the novel COVID-19 pandemic for anesthesiologists and their practices. Anesth Analg 2020;131:112–116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Cunningham CT, Quan H, Hemmelgarn B, et al. Exploring physician specialist response rates to web-based surveys. BMC Med Res Methodol 2015;15:32. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Sezai A, Hata M, Niino T, et al. Influence of continuous infusion of low-dose human atrial natriuretic peptide on renal function during cardiac surgery: A randomized controlled study. J Am Coll Cardiol 2009;54:1058–1064. [DOI] [PubMed] [Google Scholar]
- 35.Meersch M, Schmidt C, Hoffmeier A, et al. Prevention of cardiac surgery-associated AKI by implementing the KDIGO guidelines in high risk patients identified by biomarkers: The PrevAKI randomized controlled trial. Intensive Care Med 2017;43:1551–1561. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Zarbock A, Schmidt C, Van Aken H, et al. Effect of remote ischemic preconditioning on kidney injury among high-risk patients undergoing cardiac surgery: A randomized clinical trial. JAMA 2015;313:2133–2141. [DOI] [PubMed] [Google Scholar]
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