Abstract
Objective
Although low-dose ketamine has been shown to be generally beneficial in terms of pain control in a variety of major surgery, there is no consensus regarding the effectiveness of supplemental ketamine analgesic use exclusively in spine surgery. The objective of this systematic review and meta-analysis of randomized controlled trials (RCTs) was to assess the efficacy and safety of perioperative low-dose ketamine for pain management and analgesic consumption in patients undergoing spine surgery.
Methods
A comprehensive literature search was performed for relevant studies using PubMed, EMBASE, Web of Science, and Cochrane Library. Patients who received perioperative low-dose ketamine were compared to the control group in terms of postoperative pain intensity, opioid consumption, and adverse events. Patients were further categorized by ages and administration times for subgroup analysis.
Results
A total of 30 RCTs comprising 1,865 patients undergoing elective spine surgery were included. Significantly lower pain intensity and less opioid consumption at 12 h, 24 h, and 48 h postoperatively and lower incidence of postoperative nausea and vomiting (PONV) were observed in the ketamine group (all P < 0.05). There was no significant difference of central nervous system (CNS) adverse events between groups. However, different efficacy of low-dose ketamine was detected when patients were categorized by ages and administration times.
Conclusion
Perioperative low-dose ketamine demonstrated analgesic and morphine-sparing effect with no increased adverse events after spine surgery. However, this effect was not significant in pediatric patients. Only postoperative or intraoperative and postoperative administration could prolong the analgesic time up to 48 h postoperatively. Further studies should focus on the optimal protocol of ketamine administration and its effect on old age participants.
1. Introduction
The postoperative pain is excessively difficult to management for patients undergoing various orthopedic surgery, particularly in spine surgery [1]. Inadequate postoperative pain control after spine surgery could impact patient well-being and rehabilitation, which remains a major clinical challenge for both spine surgeons and anesthesiologists [2].
It has been reported that spinal surgical procedures, especially in spinal fusion, always necessitate substantial pain control in the perioperative period [3]. To achieve satisfactory pain management, opioids have been the mainstay of analgesia after various spine surgery [4]. However, opioid-related adverse effects, including nausea and vomiting, pruritus, hallucination, nightmare, cardiovascular events, and even respiratory depression, frequently occurred in patients. [5–7] Also, the development of opioid-induced hyperalgesia (OIH) and/or acute opioid tolerance could consequently increase the postoperative opioid consumption and prolonged opioid-dependence that contribute substantially to the current opioid epidemic [8, 9].
Multimodal analgesia, which could achieve better postoperative pain control and reduce the need of opioid with concomitant reduction of opioid-related side effects through additive or synergistic effects of various nonopioids, has been widely reported as the leading principle of pain management after spine surgery [10–12]. Thus, finding optimal components of multimodal analgesia is of paramount importance.
Ketamine, a nonselective antagonist of N-methyl-D-aspartate (NMDA) receptor, has been proposed as a component of multimodal analgesia for various surgical procedures, as it could inhabit the pathway of central sensitization and secondary postoperative hyperalgesia [13]. At subanesthetic doses, ketamine is effective as an adjuvant medication to standard regimen of opioids, demonstrating prominent analgesic effect and opioid-sparing effect, with no unwanted side effects of the drug [14].
Although low-dose ketamine has been shown to be generally beneficial in terms of pain control in a variety of major surgery, there is no consensus regarding the effectiveness of supplemental ketamine analgesic use exclusively in spine surgery. Also, it is unclear how the ages of patients and administration time affect the effectiveness of ketamine in pain mitigating. The objective of this systematic review and meta-analysis of randomized controlled trials (RCTs) was to assess the efficacy and safety of perioperative low-dose ketamine for pain management and analgesic consumption in patients undergoing spine surgery.
2. Materials and Methods
This study was designed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and registered with PROSPERO (ID: CRD42021238943) [15, 16]. As the data involved in this study are anonymized and freely available in the public domain, in which informed consent has already been obtained at the time of original data collection, this study is exempt from ethical approval.
2.1. Search Strategy
The PubMed, EMBASE, Web of Science, and Cochrane Library database were searched using the following terms: (Ketamine) AND (((((((((microdiscectomy) OR (discectomy)) OR (spine)) OR (spinal)) OR (scoliosis)) OR (disc)) OR (disk)) OR (lumbar)) OR (thoracic)).
The literature search was last updated on August 01, 2021. Two reviewers (L.Z. and H.Y.) independently screened the titles and abstracts, and any arising differences were settled by a discussion with a third party (Y.C.).
2.2. Inclusion Criteria
2.2.1. Participants
Participants undergoing elective spine surgery were included in this study. We categorized participants as pediatric (10 to 17 years of age) and adult (≥18 years of age).
2.2.2. Interventions
Patients received low-dose ketamine as
An intravenous (IV) bolus dose of 0.1–0.5 mg/kg intraoperatively
A continuous intravenous infusion of 1.0–10.0 μg kg−1min−1 intraoperatively and terminated in 48 h after surgery
A dose of 0.1–1.0 mg/ml in intravenous patient-controlled analgesia (IV-PCA) devices postoperatively
Combination of an IV bolus, an infusion, and IV-PCA devices
Ketamine in combination with a basic analgesic regimen was acceptable if such interventions were administered in a same way to both intervention and control groups.
2.2.3. Control
Control individuals comprise those who were administered an IV bolus, a continuous intravenous infusion, or IV-PCA of placebo or basic analgesic alone.
2.2.4. Outcome Measures
(1) Primary Outcomes.
Pain intensity at rest and during mobilization using the Numerical Rating Scale (NRS) or Visual Analogue Scale (VAS) at 6 h, 12 h, 24 h, and 48 h postoperatively
Cumulative consumption of opioids in milligrams of morphine equivalents in the first 12 h, 24 h, and 48 h postoperatively, administrated by IV-PCA devices or as rescue medication
(2) Secondary Outcomes.
Time to first request for analgesia (trigger of IV-PCA) after surgery
The incidence of postoperative central nervous system (CNS) adverse events and postoperative nausea and vomiting (PONV)
2.2.5. Study Design
Only the studies that described a prospective RCT were included.
2.3. Exclusion Criteria
Studies that met any of the following exclusion criteria were excluded: (1) patients not undergoing general anesthesia; (2) postoperative pain intensity or consumption of opioids was not reported; (3) reviews, case reports, and animal research; (4) duplicated publications; or (5) articles not published in English.
2.4. Assessment of Study Quality
The study quality was assessed independently by two reviewers (L.Z. and H.Y.) according to the Cochrane Handbook version 5.2.0 [17]. The specific contents of the assessment included random sequence generation, allocation of concealment, blinding, incomplete outcome data, selective outcome reporting, and other bias.
The level of certainty for the results was evaluated using the guidelines of the Recommendations, Assessment, Development, and Evaluation (GRADE) system [18]. The five domains included risk of bias, inconsistency, indirectness, imprecision, and publication bias. The level of certainty was graded using GRADEpro GDT online tool [19].
2.5. Data Extraction
Data extraction was performed by two reviewers independently (H.Y. and J.L.). The following study characteristics were recorded: demographic information, general anesthetic, bolus dosage, infusion dosage, timing of ketamine administration, interventions of control group, and primary postoperative analgesic. Continuous outcomes included pain intensity, cumulative consumption of opioids, and the time from end of surgery to first request for analgesia or first trigger of IV-PCA. Dichotomous outcomes included the postoperative CNS adverse events and PONV. Outcomes reported by at least five studies would be analyzed. The graphed data were interpolated using the tool WebPlotDigitizer.
2.6. Data Normalization
Extracted data were normalized prior to analysis. Pain intensity was assessed using various pain scores (0 = no pain) by the included studies, including Visual Analogue Scale (VAS) of 0 to 10, a Numerical Rating Scale (NRS) of 0 to 10, or a Verbal Rating Scale (VRS) of 0 to 5. We multiplied each pain score by 10 or 25 to convert them to a VAS of 0 to 100 [20]. Opioid for postoperative analgesia was administered as morphine, fentanyl, oxycodone, or hydromorphone in the included studies. Therefore, we converted the postoperative opioid consumption to morphine equivalents using conversion equations, such as 100:1 for IV fentanyl:IV morphine, 2:3 for IV oxycodone:IV morphine, 1:5 for IV hydromorphone:IV morphine, and 1:2 for IV methadone:IV morphine [21, 22]. For studies that reported opioid consumption over select time periods (e.g., 0–24 h, 24–48 h), the mean of cumulative opioid consumption was calculated, and the standard deviations were estimated according to the Cochrane Handbook.
2.7. Data Synthesis and Statistical Analysis
For studies with multiple treatment arms, the arms that involved an intervention not defined by the inclusion criteria would be excluded, and the data in other arms would be combined to create a single pair-wise comparison as described by. All statistical analysis was performed using Stata 15.1. For continuous outcomes, the weighted mean difference (WMD) was utilized for estimating effect. The effect measure of dichotomous outcomes was displayed as a risk ratio (RR). Statistical heterogeneity among studies was evaluated using the I-square test and Cochran's Q test. If the I2 value was less than 50% and the P value was greater than 0.10, the fixed-effects model was performed; if the I2 value was greater than 50% or the P value was less than 0.10, the random-effects model would be used.
2.8. Subgroup Analysis
The included studies were categorized for subgroup analysis:
By ages: pediatric spine surgery vs. adult spine surgery
By administration times of ketamine: intraoperatively (intragroup) vs. postoperatively (postgroup) vs. intraoperatively and postoperatively (intragroup + postgroup)
We restricted the subgroup analysis to the primary outcome and adverse events. Each subgroup should include at least two studies. Subgroup analysis by administration times was only performed for studies about adult spine surgery. The results of subgroup analysis were available in Supplementary Materials.
2.9. Assessment of Publication Bias
Potential publication bias was assessed by the application of Egger's test at the P value less than 0.10 level of significance. If publication bias was indicated, we further evaluated the number of missing studies in this meta-analysis by the application of the trim and fill method and recalculated the pooled WMD or RR with the addition of those missing studies [23].
3. Results
3.1. Study Selection
The systematic search yielded 6,252 articles, of which 3172 were duplicates. 3,038 studies were excluded by screening the title and abstract, and 12 studies were reasonably considered improper after full-text reviewing. Eventually, 30 studies were finally included in this meta-analysis (Figure 1) [24–53].
3.2. Characteristics of Included Studies
A total of 30 randomized controlled trials comprising 1,865 patients undergoing elective spine surgery were included. Of the patients, 1,006 cases were treated with perioperative low-dose ketamine, and 859 cases were administrated with placebo or basic analgesic alone. The characteristics of the included studies were demonstrated in Table 1. The baseline characteristics of the two groups were matched.
Table 1.
Author | Year | Group | Sample size | Age (years) | Sex (M/F) | Weight (kg) | Mode | Bolus (mg kg−1) | Infusion (μg kg−1 min−1) | Dose in IV-PCA(mg ml−1) | Timing | Postoperative Opioid | Control | ||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Javery | 1996 | Ketamine | 22 | 37.3 | ± | 9.9 | 18/4 | 78.2 | ± | 13.1 | IV-PCA | 1.0 | Postoperative | Morphine | Basic | ||
Control | 20 | 39.5 | ± | 7.2 | 18/2 | 83.9 | ± | 10.7 | |||||||||
| |||||||||||||||||
Sahin | 2004 | Ketamine | 17 | 46.5 | ± | 7.3 | 9/8 | 80.4 | ± | 16.1 | B | 0.5 | Intraoperative | Morphine | Saline | ||
Control | 14 | 46.1 | ± | 13.3 | 8/6 | 78.7 | ± | 13.2 | |||||||||
| |||||||||||||||||
Aveline | 2006 | Ketamine | 23 | 48.3 | ± | 12.3 | 11/12 | 74.2 | ± | 6.3 | B | 0.15 | Intraoperative | Morphine | Basic | ||
Control | 23 | 44.4 | ± | 11.2 | 10/13 | 68.4 | ± | 12.8 | |||||||||
| |||||||||||||||||
Engelhardt | 2008 | Ketamine | 16 | 14.8 | ± | 1.7 | 2/14 | 59.3 | ± | 16.5 | B+ivgtt | 0.5 | 4.0 | Intraoperative | Morphine | Saline | |
Control | 18 | 15.5 | ± | 1.2 | 3/15 | 56.5 | ± | 10.4 | |||||||||
| |||||||||||||||||
Moustafa | 2008 | Ketamine | 16 | 13.1 | ± | 5.08 | 7/9 | 39.7 | ± | 8.63 | ivgtt | 1.0 | Intraoperative | Morphine | Basic | ||
Control | 16 | 12.8 | ± | 6.07 | 6/10 | 34.6 | ± | 9.68 | |||||||||
| |||||||||||||||||
Urban | 2008 | Ketamine | 12 | 53 | ± | 12 | 80 | ± | 19 | B+ivgtt | 0.2 | 0.03 | Intraoperative Postoperative |
Hydromorphone | Saline | ||
Control | 12 | 48 | ± | 9 | 78 | ± | 19 | ||||||||||
| |||||||||||||||||
Hadi | 2009 | Ketamine | 20 | 22 | ± | 2 | 7/13 | 55 | ± | 15 | ivgtt | 1.0 | Intraoperative | Morphine | Basic | ||
Control | 20 | 21 | ± | 2 | 8/12 | 54 | ± | 13 | |||||||||
| |||||||||||||||||
Hadi | 2010 | Ketamine | 15 | 56.1 | ± | 10.5 | 7/8 | 66 | ± | 13 | ivgtt | 1.0 | Intraoperative | Morphine | Saline | ||
Control | 15 | 53.5 | ± | 10.2 | 3/12 | 68 | ± | 12 | |||||||||
| |||||||||||||||||
Loftus | 2010 | Ketamine | 52 | 51.7 | ± | 14.2 | 33/19 | 95.4 | ± | 17.7 | B+ivgtt | 0.5 | 10.0 | Intraoperative | Morphine | Saline | |
Control | 50 | 51.4 | ± | 14.4 | 28/22 | 89.3 | ± | 23.8 | |||||||||
| |||||||||||||||||
Subramaniam | 2011 | Ketamine | 15 | 57.2 | ± | 12.2 | 8/7 | 86.2 | ± | 24.4 | B+ivgtt | 0.15 | 2.0 | Intraoperative Postoperative |
Hydromorphone | Saline | |
Control | 15 | 56.5 | ± | 13.6 | 7/8 | 81.4 | ± | 19.2 | |||||||||
| |||||||||||||||||
Abrishamkar | 2012 | Ketamine | 22 | 49 | ± | 1.32 | 5/18 | ivgtt | 8.33 | Postoperative | Morphine | Basic | |||||
Control | 23 | 45 | ± | 1.64 | 10/12 | ||||||||||||
| |||||||||||||||||
Pacreu | 2012 | Ketamine | 10 | 52.9 | ± | 12.6 | 3/7 | 69.5 | ± | 7.2 | B+ivgtt+IV-PCA | 0.5 | 2.5 | 0.5 | Intraoperative Postoperative |
Methadone | Saline |
Control | 10 | 61.3 | ± | 11.7 | 3/7 | 75.9 | ± | 9.8 | |||||||||
| |||||||||||||||||
Yeom | 2012 | Ketamine | 20 | 61.0 | ± | 10.0 | 5/15 | 59.1 | ± | 13.5 | B+ivgtt | 0.2 | 0.5 | Intraoperative Postoperative |
Fentanyl | Saline | |
Control | 20 | 64.5 | ± | 11.5 | 7/13 | 64.8 | ± | 10.6 | |||||||||
| |||||||||||||||||
Hadi | 2013 | Ketamine | 30 | 55 | ± | 2.5 | 13/17 | 70 | ± | 2.5 | ivgtt | 1.0 | Intraoperative Postoperative |
Morphine | Saline | ||
Control | 15 | 51 | ± | 2.5 | 8/7 | 71 | ± | 2.6 | |||||||||
| |||||||||||||||||
Kim | 2013 | Ketamine | 35 | 56 | ± | 9.5 | 15/20 | 63.4 | ± | 10.5 | B+ivgtt | 0.5 | 1.0-2.0 | Intraoperative Postoperative |
Fentanyl | Saline | |
Control | 17 | 56 | ± | 13 | 9/8 | 66 | ± | 13 | |||||||||
| |||||||||||||||||
Song | 2013 | Ketamine | 24 | 52.3 | ± | 8.8 | 0/24 | 59 | ± | 7 | B+ivgtt | 0.3 | 0.04 | Intraoperative Postoperative |
Fentanyl | Saline | |
Control | 25 | 53.8 | ± | 7.8 | 0/25 | 60 | ± | 10 | |||||||||
| |||||||||||||||||
Pestieau | 2014 | Ketamine | 29 | 14.3 | ± | 1.8 | 5/24 | 60 | ± | 18 | B+ivgtt | 0.5 | 0.1-0.2 | Intraoperative Postoperative |
Morphine | Saline | |
Control | 21 | 14.5 | ± | 1.5 | 7/14 | 59 | ± | 14 | |||||||||
| |||||||||||||||||
Minoshima | 2015 | Ketamine | 17 | 15 | ± | 2 | 1/16 | 45 | ± | 6 | B+ivgtt | 0.5 | 2.0 | Intraoperative Postoperative |
Morphine | Saline | |
Control | 19 | 14 | ± | 2 | 0/19 | 46 | ± | 4 | |||||||||
| |||||||||||||||||
Garg | 2016 | Ketamine | 22 | 36.5 | ± | 13.4 | 13/9 | 61.5 | ± | 14.6 | B+ivgtt | 0.25 | 4.2 | Postoperative | Morphine | Saline | |
Control | 22 | 36.3 | ± | 14.3 | 16/6 | 65.3 | ± | 15.5 | |||||||||
| |||||||||||||||||
Mitra | 2017 | Ketamine | 14 | 33.9 | ± | 17.2 | 7/7 | 56.4 | ± | 10.1 | B+ivgtt | 0.5 | 4.2 | Intraoperative | Fentanyl | Saline | |
Control | 14 | 33.5 | ± | 15.2 | 6/8 | 57.9 | ± | 11.3 | |||||||||
| |||||||||||||||||
Nielsen | 2017 | Ketamine | 74 | 57 | ± | 14 | 28/46 | 77 | ± | 14 | B+ivgtt | 0.5 | 4.2 | Intraoperative | Morphine | Saline | |
Control | 73 | 55 | ± | 13 | 21/52 | 78 | ± | 18 | |||||||||
| |||||||||||||||||
Perello ´ | 2017 | Ketamine | 21 | 14.3 | ± | 1.9 | 5/16 | 54.3 | ± | 10.8 | B+ivgtt | 0.5 | 2.0 | Intraoperative Postoperative |
Morphine | Saline | |
Control | 23 | 14.3 | ± | 1.8 | 6/17 | 57.6 | ± | 12.6 | |||||||||
| |||||||||||||||||
Boenigk | 2018 | Ketamine | 49 | 54.5 | ± | 13.4 | 24/25 | 78.5 | ± | 7.2 | B+ivgtt | 0.2 | 2 | Postoperative | Hydromorphone | Saline | |
Control | 62 | 55.7 | ± | 13.2 | 29/33 | 85.4 | ± | 11.5 | |||||||||
| |||||||||||||||||
Czarnetzki | 2019 | Ketamine | 80 | 65.8 | ± | 13.8 | 39/41 | 79.8 | ± | 4.3 | B+ivgtt | 0.25 | 1.67-4.17 | Intraoperative Postoperative |
Morphine | Saline | |
Control | 80 | 65.6 | ± | 12.6 | 42/38 | 79.7 | ± | 3.4 | |||||||||
| |||||||||||||||||
Brinck | 2020 | Ketamine | 127 | 54.2 | ± | 13.2 | 40/87 | 76 | ± | 14 | B+ivgtt | 0.5 | 2-10 | Intraoperative | Oxycodone | Saline | |
Control | 62 | 55.5 | ± | 12 | 26/36 | 79 | ± | 15 | |||||||||
| |||||||||||||||||
Ricciardelli | 2020 | Ketamine | 24 | 13.4 | ± | 1.7 | 2/22 | 60.9 | ± | 17.4 | B+ivgtt | 0.5 | 3.33 | Intraoperative Postoperative |
Morphine | Saline | |
Control | 25 | 14.7 | ± | 2.2 | 8/17 | 61.6 | ± | 14.2 | |||||||||
| |||||||||||||||||
Andleeb | 2021 | Ketamine | 30 | 43.8 | ± | 14.6 | 15/15 | 57.4 | ± | 11.4 | ivgtt | 8.33 | Intraoperative | Morphine | Saline | ||
Control | 30 | 39.8 | ± | 14.1 | 14/16 | 58 | ± | 12.7 | |||||||||
| |||||||||||||||||
Brinck | 2021 | Ketamine | 75 | 60 | ± | 13.5 | 41/34 | 77.1 | ± | 14.5 | IV-PCA | 0.25-0.75 | Postoperative | Oxycodone | Saline | ||
Control | 25 | 56 | ± | 11 | 14/11 | 77.7 | ± | 15.6 | |||||||||
| |||||||||||||||||
Murphy | 2021 | Ketamine | 66 | 59.3 | ± | 16.4 | 32/34 | 64 | ± | 11 | ivgtt | 1.67-5.00 | Intraoperative Postoperative |
Hydromorphone | Saline | ||
Control | 61 | 65.3 | ± | 10.6 | 27/34 | 62 | ± | 11 | |||||||||
| |||||||||||||||||
Nikoubakht | 2021 | Ketamine | 29 | 52.8 | ± | 12.2 | 17/12 | ivgtt | 1.67 | Intraoperative | Morphine | Saline | |||||
Control | 29 | 53.8 | ± | 13.9 | 18/11 |
B indicates intravenous bolus; ivgtt, intravenously guttae; IV-PCA, intravenous patient-controlled analgesia.
3.3. Quality Assessment of the Selected Studies
The majority of the studies had a “low risk” or an “unclear risk” assessment according to the Cochrane Handbook. The pooled risks of bias is presented in Figures 2(a) and 2(b).
3.4. Postoperative Pain Intensity
3.4.1. Pain Intensity at Rest at 6 h Postoperatively
A total of 16 studies reported the pain intensity at rest at 6 h postoperatively. Significant heterogeneity was detected (I2 = 94.6%, P < 0.001). The 16 studies included 587 patients in the ketamine group and 457 patients in the control group. The pooled results revealed significantly lower pain scores at rest at 6 h postoperatively in the ketamine than the control group (WMD, −8.93; 95% CI −13.80 to −4.06, P < 0.001, GRADE = moderate) (Figure 3(a)).
3.4.2. Pain Intensity at Rest at 12 h Postoperatively
A total of 13 studies reported the pain intensity at rest at 12 h postoperatively. Significant heterogeneity was detected (I2 = 95.1%, P < 0.001). The 14 studies included 350 patients in the ketamine group and 353 patients in the control group. The pooled results revealed significantly lower pain scores at rest at 12 h postoperatively in the ketamine than the control group (WMD, −8.04; 95% CI −13.69 to −2.39, P=0.005, GRADE = moderate) (Figure 3(b)).
3.4.3. Pain Intensity at Rest at 24 h Postoperatively
A total of 25 studies reported the pain intensity at rest at 24 h postoperatively. Significant heterogeneity was detected (I2 = 70.7%, P < 0.001). The 25 studies included 907 patients in the ketamine group and 759 patients in the control group. The pooled results revealed significantly lower pain scores at rest at 24 h postoperatively in the ketamine than the control group (WMD, −10.01; 95% CI −13.09 to −6.93, P < 0.001, GRADE = moderate) (Figure 3(c)).
3.4.4. Pain Intensity at Rest at 48 h Postoperatively
A total of 16 studies reported the pain intensity at rest at 48 h postoperatively. Significant heterogeneity was detected (I2 = 56.1%, P=0.003). The 16 studies included 565 patients in the ketamine group and 474 patients in the control group. The pooled results revealed significantly lower pain scores at rest at 48 h postoperatively in the ketamine than the control group (WMD, −4.63; 95% CI −8.34 to −0.92, P=0.014, GRADE = moderate) (Figure 3(d)).
3.4.5. Pain Intensity during Mobilization at 6 h Postoperatively
A total of 9 studies reported the pain intensity during mobilization at 6 h postoperatively. Significant heterogeneity was detected (I2 = 44.0%, P=0.075). The 9 studies included 239 patients in the ketamine group and 227 patients in the control group. The pooled results revealed significantly lower pain scores during mobilization at 6 h postoperatively in the ketamine than the control group (WMD, −5.48; 95% CI −9.21 to −1.75, P=0.004, GRADE = low) (Figure 4(a)).
3.4.6. Pain Intensity during Mobilization at 12 h Postoperatively
A total of 8 studies reported the pain intensity during mobilization at 12 h postoperatively. Significant heterogeneity was detected (I2 = 87.5%, P < 0.001). The 8 studies included 204 patients in the ketamine group and 210 patients in the control group. The pooled results revealed no significant difference in pain scores during mobilization at 12 h postoperatively between groups (WMD, −7.22; 95% CI −16.44 to 2.01, P=0.125, GRADE = low) (Figure 4(b)).
3.4.7. Pain Intensity during Mobilization at 24 h Postoperatively
A total of 14 studies reported the pain intensity during mobilization at 24 h postoperatively. Significant heterogeneity was detected (I2 = 81.7%, P < 0.001). The 14 studies included 425 patients in the ketamine group and 402 patients in the control group. The pooled results revealed significantly lower pain scores during mobilization at 24 h postoperatively in the ketamine than the control group (WMD, −6.72; 95% CI −12.02 to −1.43, P < 0.001, GRADE = moderate) (Figure 4(c)).
3.4.8. Pain Intensity during Mobilization at 48 h Postoperatively
A total of 12 studies reported the pain intensity during mobilization at 48 h postoperatively. Significant heterogeneity was detected (I2 = 43.3%, P < 0.054). The 12 studies included 338 patients in the ketamine group and 316 patients in the control group. The pooled results revealed significantly lower pain scores during mobilization at 48 h postoperatively in the ketamine than the control group (WMD, −4.52; 95% CI −8.66 to −0.38, P=0.032, GRADE = moderate) (Figure 4(d)).
3.4.9. Subgroup Analysis by Ages
The heterogeneity of pain scores was significantly decreased after categorizing the studies into pediatric studies and adult studies. For adult patients, the pooled results revealed that the pain scores at rest at 6 h (WMD, −11.73; 95% CI −17.09 to −6.38, P < 0.001; GRADE = moderate), 12 h (WMD, −11.21; 95% CI −17.64 to −4.78, P=0.001, GRADE = moderate), 24 h (WMD, −10.86; 95% CI −14.11 to −7.62, P < 0.001, GRADE = moderate), 48 h (WMD, −5.37; 95% CI −10.23 to −0.50, P=0.031, GRADE = moderate) and during mobilization at 6 h (WMD, −6.28; 95% CI −10.41 to −2.15, P=0.003, GRADE = moderate), 24 h (WMD, −9.28; 95% CI −15.40 to −3.17, P=0.003, GRADE = moderate), and 48 h (WMD, −5.88; 95% CI −11.13 to −0.64, P=0.028, GRADE = moderate) postoperatively were significantly lower in the ketamine group than the control group. However, for pediatric patients, there were no significant difference in pain scores at rest at 6 h (WMD, 1.05; 95% CI −4.47 to 6.57, P=0.708, GRADE = moderate), 12 h (WMD, 1.76; 95% CI −4.36 to 7.88, P=0.573, GRADE = moderate), 24 h (WMD, −4.36; 95% CI −13.04 to 4.31, P=0.324, GRADE = moderate), 48 h (WMD, −3.09; 95% CI −8.03 to 1.86, P=0.222, GRADE = moderate) and during mobilization at 6 h (WMD, −0.34; 95% CI −10.78 to 10.11, P=0.950, GRADE = moderate), 12 h (WMD, −3.87; 95% CI −15.99 to 8.24, P=0.531), 24 h (WMD, 1.67; 95% CI −10.97 to 14.31, P=0.796, GRADE = moderate), and 48 h (WMD, 0.40; 95% CI −6.63 to 7.42, P=0.912, GRADE = moderate) postoperatively between groups.
3.4.10. Subgroup Analysis by Administration Times
The heterogeneity of pain scores was significantly decreased after categorizing the studies into intrasubgroup, postsubgroup, and intrasubgroup + postsubgroup, according to the administration times of ketamine.
At rest, the pain scores at 6 h (WMD, −10.72; 95% CI −15.35 to −6.09, P < 0.001; WMD, -17.90, GRADE = moderate; 95% CI −26.23 to −9.58, P < 0.001, GRADE = moderate), 12 h (WMD, −13.00; 95% CI −20.44 to −5.55, P=0.001, GRADE = moderate; WMD, −14.90; 95% CI −20.34 to −9.46, P < 0.001, GRADE = low), and 24 h (WMD, −11.51; 95% CI −15.93 to −7.08, P < 0.001, GRADE = moderate; WMD, −14.90; 95% CI −19.97 to −9.84, P < 0.001, GRADE = high) after surgery were significantly lower in the ketamine group when the drugs were administrated intraoperatively and postoperatively or solely postoperatively. However, when ketamine was administrated solely intraoperatively, the only significant difference in pain scores was detected at 24 h postoperatively (WMD, −5.01; 95% CI −9.82 to −0.19, P=0.042, GRADE = moderate) and no significant difference at 6 h (WMD, −5.81; 95% CI −12.39 to 0.77, P=0.084, GRADE = low) and 12 h (WMD, −2.49; 95% CI −7.61 to 2.64, P=0.342, GRADE = low). As there was only one study in postsubgroup that reported the data at 48 h postoperatively, we excluded this subgroup for analysis at this terminated point. The pain scores at 48 h postoperatively were significantly lower in the ketamine group when the drugs were administrated intraoperatively and postoperatively (WMD, −6.71; 95% CI −12.39 to −1.04, P=0.020, GRADE = moderate) while no significant difference in intrasubgroup (WMD, 2.42; 95% CI −4.28 to 9.13, P=0.479, GRADE = low).
During mobilization, there was no data reported by studies in postsubgroup. Thus, only intrasubgroup + postsubgroup and intrasubgroup were included for analysis. The pain scores at 6 h after surgery were significantly lower in the ketamine group when the drugs were administrated intraoperatively (WMD, −7.28; 95% CI −13.29 to −1.28, P=0.017, GRADE = moderate), and the pain scores at 24 h after surgery were significantly lower in the ketamine group when the drugs were administrated intraoperatively and postoperatively (WMD, −9.43; 95% CI −18.35 to −0.51, P=0.038, GRADE = moderate). However, there were no significant difference in pain scores at 6 h (WMD, −4.34; 95% CI −11.80 to 3.11, P=0.253, GRADE = moderate) and 12 h between groups in intrasubgroup + postsubgroup (WMD, −2.54; 95% CI −13.00 to 7.93, P=0.635, GRADE = low), and there were no significant difference in pain scores at 12 h (WMD, −12.68; 95% CI −30.18 to 4.82, P=0.156, GRADE = low) and 24 h (WMD, −8.62; 95% CI −17.28 to 0.05, P=0.051, GRADE = moderate) between groups in intrasubgroup. We were unable to perform subgroup analysis for pain scores at 48 h after surgery because there were only one study in intrasubgroup.
3.5. Postoperative Opioid Consumption
3.5.1. Cumulative Opioid Consumption in the First 12 h Postoperatively
A total of 10 studies reported the cumulative opioid consumption in the first 12 h postoperatively. Significant heterogeneity was detected (I2 = 92.9%, P < 0.001). The 10 studies included 252 patients in the ketamine group and 254 patients in the control group. The pooled results revealed significantly reduced cumulative morphine equivalent in the first 12 h postoperatively in the ketamine than the control group (WMD, −5.60; 95% CI −7.59 to −3.61, P < 0.001, GRADE = moderate) (Figure 5(a)).
3.5.2. Cumulative Opioid Consumption in the First 24 h Postoperatively
A total of 25 studies reported the cumulative opioid consumption in the first 24 h postoperatively. Significant heterogeneity was detected (I2 = 89.0%, P < 0.001). The 25 studies included 759 patients in the ketamine group and 692 patients in the control group. The pooled results revealed significantly reduced cumulative morphine equivalent in the first 24 h postoperatively in the ketamine than the control group (WMD, −12.73; 95% CI −15.24 to −10.22, P < 0.001, GRADE = moderate) (Figure 5(b)).
3.5.3. Cumulative Opioid Consumption in the First 48 h Postoperatively
A total of 17 studies reported the cumulative opioid consumption in the first 48 h postoperatively. Significant heterogeneity was detected (I2 = 72.6%, P < 0.001). The 17 studies included 645 patients in the ketamine group and 505 patients in the control group. The pooled results revealed significantly reduced cumulative morphine equivalent in the first 48 h postoperatively in the ketamine than the control group (WMD, −15.42; 95% CI −20.06 to −10.78, P < 0.001, GRADE = moderate) (Figure 5(c)).
3.5.4. Subgroup Analysis by Ages
The heterogeneity of cumulative opioid consumption was significantly decreased after categorizing the studies into pediatric studies and adult studies. For adult patients, the pooled results revealed that the cumulative opioid consumption in the first 12 h (WMD, −5.95; 95% CI −8.02 to −3.88, P < 0.001, GRADE = moderate), 24 h (WMD, −14.42; 95% CI −16.99 to −11.85, P < 0.001, GRADE = high), and 48 h (WMD, −19.24; 95% CI −24.16 to −14.32, P < 0.001, GRADE = high) postoperatively was significantly reduced in the ketamine group than the control group. For pediatric patients, cumulative opioid consumption in the first 24 h (WMD, −5.80; 95% CI −10.17 to −1.42, P=0.009, GRADE = moderate) was significantly reduced in the ketamine group than the control group while no significant difference in the first 12 h (WMD, −1.42; 95% CI −6.91 to 4.08, P=0.613, GRADE = low) and 48 h (WMD, −5.82; 95% CI −15.75 to 4.12, P=0.251, GRADE = moderate) postoperatively between groups.
3.5.5. Subgroup Analysis by Administration Times:
The heterogeneity of cumulative opioid consumption was significantly decreased after categorizing the studies into intrasubgroup, postsubgroup, and intrasubgroup + postsubgroup according to the administration times of ketamine. The cumulative opioid consumption in the first 12 h (WMD, −4.48; 95% CI −8.35 to −0.61, P=0.023, GRADE = moderate; WMD, −5.21; 95% CI −8.02 to −2.40, P < 0.001, GRADE = moderate), 24 h (WMD, -12.91; 95% CI -18.85 to -6.97, P < 0.001, GRADE = high; WMD, −13.41; 95% CI −17.87 to −8.95, P < 0.001, GRADE = moderate), and 48 h (WMD, −19.05; 95% CI −25.49 to −12.62, P < 0.001, GRADE = moderate; WMD, −18.63; 95% CI −23.98 to −13.28, P < 0.001, GRADE = low) after surgery was significantly reduced in the ketamine group when the drugs were administrated intraoperatively and postoperatively or solely postoperatively. However, for intrasubgroup, only the cumulative opioid consumption in the first 24 h was significantly reduced in the ketamine group (WMD, −16.74; 95% CI −22.73 to −10.75, P < 0.001, GRADE = moderate). As there was only one study in intrasubgroup that reported the data in the first 12 h postoperatively, we excluded this subgroup for analysis at this terminated point.
3.6. Time to First Request for Analgesic after Surgery
A total of 8 studies reported the time to first request for analgesic after surgery. Significant heterogeneity was detected (I2 = 83.5%, P < 0.001). The 8 studies included 196 patients in the ketamine group and 174 patients in the control group. The pooled results revealed significantly prolonged time to first request for analgesic after surgery in the ketamine than the control group (WMD, 6.63; 95% CI 3.99 to 9.28, P < 0.001, GRADE = moderate) (Figure 6).
3.7. Adverse Events with the Administration of Ketamine
3.7.1. Central Nervous System Adverse Events
CNS adverse events including hallucination, confusion, disorientation, visual disturbance, sedation, nightmare, and drowsiness were reported by 18 studies. No substantial heterogeneity was detected (I2 = 9.4%, P=0.342). The incidence of CNS adverse event was 13.7% (103/752) in the ketamine group and 11.6% (72/623) in the control group. The pooled results revealed no significant difference in the incidence of CNS adverse event between groups (RR, 1.17; 95% CI 0.90 to 1.54, P=0.243, GRADE = moderate) (Figure 7(a)).
3.7.2. Postoperative Nausea and Vomiting
PONV were reported by 21 studies. No substantial heterogeneity was detected (I2 = 0.8%, P=0.448). The incidence of PONV adverse event was 27.8% (215/772) in the ketamine group and 33.9% (213/629) in the control group. The pooled results revealed a significantly lower incidence of PONV in the ketamine group than the control group (RR, 0.84; 95% CI 0.72 to 0.98, P=0.028, GRADE = moderate) (Figure 7(b)).
3.7.3. Subgroup Analysis by Ages
We were unable to perform subgroup analysis for CNS adverse events because there was only one study in pediatric subgroup. The pooled results revealed no significant difference in the incidence of PONV between groups for both adult (RR, 0.87; 95% CI 0.74 to 1.02, P=0.083, GRADE = moderate) and pediatric subgroup (RR, 0.68; 95% CI 0.43 to 1.09, P=0.113, GRADE = low).
3.7.4. Subgroup Analysis by Administration Times
The pooled results revealed no significant difference in the incidence of CNS adverse events between groups for intrasubgroup (RR, 1.10; 95% CI 0.66 to 1.84, P=0.705, GRADE = moderate), postsubgroup (RR, 1.30; 95% CI 0.65 to 2.57, P=0.455, GRADE = moderate), and intrasubgroup + postsubgroup (RR, 1.13; 95% CI 0.79 to 1.63, P=0.504, GRADE = moderate). Similarly, the pooled results revealed no significant difference in the incidence of PONV between groups for intrasubgroup (RR, 0.89; 95% CI 0.69 to 1.15, P=0.365, GRADE = moderate), postsubgroup (RR, 0.80; 95% CI 0.33 to 1.90, P=0.611, GRADE = low), and intrasubgroup + postsubgroup (RR, 0.86; 95% CI 0.69 to 1.06, P=0.150, GRADE = moderate).
4. Discussion
In several previous reviews, the administration of perioperative low-dose ketamine has demonstrated an opioid-sparing effect in patients undergoing major surgery and could mitigate opioid-induced hyperalgesia and acute opioid tolerance shown to occur in these patients [2, 54, 55]. However, these literature focused on a broad range of surgical procedures, whether this hold true for spine surgery remained controversial. Although a meta-analysis by Pendi et al. has reported that supplemental perioperative ketamine was effective in pain management following spine surgery, this study did not consider the impact of patient ages and administration time of drugs [56]. As previous studies have reported an insignificant reduction in pain score and opioid consumption for pediatric patients undergoing perioperative low-dose ketamine, and only intraoperative administration could not prolong the analgesia time in adult surgery, the results by Pendi et al. may be skewed by the heterogeneous of included studies [3, 57]. In the current study, we additionally performed subgroup analysis according to ages and administration time in order to report the efficacy of perioperative low-dose ketamine more precisely.
4.1. Postoperative Pain Intensity and Cumulative Opioid Consumption
Patients administrated low-dose ketamine reported significantly less pain and corresponding decreased need for opioids up to 48 h postoperatively in the overall analysis, which was consistent with previous studies [20]. Inconsistent with our results, a recent meta-analysis focused on spine surgery by Pendi et al. pooled the data of pediatric and adult and reported that the analgesic effect of ketamine supplementation may be only limited to the first 24 h after surgery [56]. However, the age-related differences in pharmacokinetic could impact the reliability of their results [45]. In the current study, an analgesic and morphine-sparing effect was only detected in adult patients. For pediatric patients, the low-dose ketamine failed to decrease the pain intensity and only reduced the cumulative opioid consumption in the first 24 h postoperatively. This finding was in concert with the meta-analysis by Dahmani et al., who indicated that perioperative administration of ketamine in children could not change early postoperative pain and analgesic use [58]. Pharmacokinetic studies had suggested a shorter context-sensitive half-time and a higher requirement of ketamine doses to maintain the steady-state concentrations in pediatric populations compared to adults [59, 60]. Therefore, the low-dose ketamine used in pediatric patients was not as sufficient as in adults to suppress the NMDA receptor pathway [40].
Subgroup analysis also indicated that intraoperative administration of ketamine solely was not as effective as postoperative or intraoperative and postoperative administration to prolong the analgesia time and reduced opioid consumptions, especially during 24 h to 48 h after surgery. Central sensitization was associated with hyperalgesia and opioid tolerance [44, 45]. Repetitive and high frequency noxious stimulus from C-fibers via activation of NMDA receptor could evoke this process not only during surgery but also in the postoperative period [41]. Therefore, the withdrawal hyperalgesia and acute opioid tolerance may continue and even develop long after surgery [61]. Our finding was consistent with the results of a previous meta-analysis by Wang et al., who reported that the analgesic effect and morphine-sparing effect provided by intraoperative administration of ketamine solely was very limited for adult surgery, although in the first 24 h postoperatively [62]. Thus, to obtain a beneficial effect in postoperative pain management, low-dose ketamine administrated in postoperative period or through the perioperative period may be the better choice.
4.2. Adverse Events with the Administration of Ketamine
A common concern with the use of ketamine has been its side effects including CNS adverse events and PONV [63]. Consistent with a previous large meta-analysis of ketamine adjuncts to opioid for pain control which included 130 RCTs of 4,588 participants, our results indicated that the incidence of ketamine-related adverse events has not been increased compared to those who only received opioids, in both pediatric and adult patients [20].
The meta-analysis by Wang et al. reported that the rate of psychotomimetic events was significantly higher in patients administrated low-dose ketamine intraoperatively and postoperatively [62]. However, Wang et al. pooled the data of various surgical procedures in adult patients, including hemorrhoidectomy, radical prostatectomy, laparoscopic cholecystectomy, thoracotomy, and lumbar fusion, which was highly heterogeneous and may skew the results. When solely focused on spine surgery, this study revealed that postoperative or intraoperative and postoperative administration of low-dose ketamine would not increase the risk of adverse events, in addition to its prolonged analgesic effect and morphine-sparing effect.
4.3. Limitations
We believe that this meta-analysis has presented valuable results for many anesthesiologists and spinal surgeons, although with some limitations. Firstly, although we performed subgroup analysis, there was still significant heterogeneity in most of the analyses, which might be due to different study designs, modes of delivery, dosages, and procedures. Secondly, combining multiple treatment arms may have produced a moderating effect. Thirdly, chronic opioid-dependent could magnitude the analgesic effect of ketamine; however, some studies did not clarify the usage of preoperative opioid, leaving it unclear whether opioid-tolerant patients were included [44]. Also, although this study indicated that low-dose ketamine could decrease the postoperative pain intensity and opioid use, the optimal protocol, including mode of administration, dosage, and timing, were not obtained. Later, although the participants were categorized into pediatric (10 to 17 years of age) and adult (≥18 years of age) in this study, the adult participants could not be further categorized by middle and old age due to the design of included RCTs. According to the mean age of each study, there was only one study that fulfilled the definition of old age participants (≥65 years of age) [64–66]. Considering that the old age people are more susceptible to spine disorders, further studies should focus on this population, who are the main surgical candidates. Last, although we have applied the Egger's test to assess the publication bias, the potential language bias is inevitable because clinical investigators working in non-English-speaking countries are more likely to publish their positive findings in an international English-language journal while reporting negative results in their local languages [67].
5. Conclusion
Perioperative low-dose ketamine demonstrated analgesic and morphine-sparing effect with no increased adverse events after spine surgery. However, the effect was not significant in pediatric patients. Only postoperative or intraoperative and postoperative administration could prolong the analgesic time up to 48 h postoperatively. Further studies should focus on the optimal protocol of ketamine administration and its effect on old age participants.
Data Availability
The data used to support the findings of this study are available from the corresponding author upon request.
Conflicts of Interest
The authors declare that they have no conflicts of interest.
Authors' Contributions
Lijin Zhou, Honghao Yang, and Yunzhong Cheng contributed equally to this work and should be regarded as co-first authors.
Supplementary Materials
References
- 1.Cozowicz C., Bekeris J., Poeran J., et al. Multimodal pain management and postoperative outcomes in lumbar spine fusion surgery: a population-based cohort study. Spine . 2020;45(9):580–589. doi: 10.1097/brs.0000000000003320. [DOI] [PubMed] [Google Scholar]
- 2.García-Henares J. F., Moral-Munoz J. A., Salazar A., Del Pozo E. Effects of ketamine on postoperative pain after remifentanil-based anesthesia for major and minor surgery in adults: a systematic review and meta-analysis. Frontiers in Pharmacology . 2018;9:p. 921. doi: 10.3389/fphar.2018.00921. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Park P. J., Makhni M. C., Cerpa M., Lehman R. A., Lenke L. G. The role of perioperative ketamine in postoperative pain control following spinal surgery. Journal of Spine Surgery . 2020;6(3):591–597. doi: 10.21037/jss-19-306. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Bicket M. C., White E., Pronovost P. J., Wu C. L., Yaster M., Alexander G. C. Opioid oversupply after joint and spine surgery: a prospective cohort study. Anesthesia & Analgesia . 2019;128(2):358–364. doi: 10.1213/ane.0000000000003364. [DOI] [PubMed] [Google Scholar]
- 5.Sadhasivam S., Chidambaran V., Olbrecht V. A., et al. Opioid-related adverse effects in children undergoing surgery: unequal burden on younger girls with higher doses of opioids. Pain Medicine . 2015;16(5):985–997. doi: 10.1111/pme.12660. [DOI] [PubMed] [Google Scholar]
- 6.Kane-Gill S. L., Rubin E. C., Smithburger P. L., Buckley M. S., Dasta J. F. The cost of opioid-related adverse drug events. Journal of Pain & Palliative Care Pharmacotherapy . 2014;28(3):282–293. doi: 10.3109/15360288.2014.938889. [DOI] [PubMed] [Google Scholar]
- 7.Soni A. Medicaid expansion and rates of opioid-related hospital use-reply. JAMA Internal Medicine . 2020;180(10):1402–1403. doi: 10.1001/jamainternmed.2020.2737. [DOI] [PubMed] [Google Scholar]
- 8.Mercadante S., Arcuri E., Santoni A. Opioid-induced tolerance and hyperalgesia. CNS Drugs . 2019;33(10):943–955. doi: 10.1007/s40263-019-00660-0. [DOI] [PubMed] [Google Scholar]
- 9.Lyden J., Binswanger I. A. The United States opioid epidemic. Seminars in Perinatology . 2019;43(3):123–131. doi: 10.1053/j.semperi.2019.01.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Yoo J. S., Ahn J., Buvanendran A., Singh K. Multimodal analgesia in pain management after spine surgery. Journal of Spine Surgery . 2019;5(S2):S154–s159. doi: 10.21037/jss.2019.05.04. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Maheshwari K., Avitsian R., Sessler D. I., et al. Multimodal analgesic regimen for spine surgery: a randomized placebo-controlled trial. Anesthesiology . 2020;132(5):992–1002. doi: 10.1097/aln.0000000000003143. [DOI] [PubMed] [Google Scholar]
- 12.Haffner M., Saiz A. M., Jr., Nathe R., et al. Preoperative multimodal analgesia decreases 24-hour postoperative narcotic consumption in elective spinal fusion patients. The Spine Journal . 2019;19(11):1753–1763. doi: 10.1016/j.spinee.2019.07.005. [DOI] [PubMed] [Google Scholar]
- 13.Urman R., Vadivelu N., Schermer E., Kodumudi V., Belani K., Kaye A. Role of ketamine for analgesia in adults and children. Journal of Anaesthesiology Clinical Pharmacology . 2016;32(3):298–306. doi: 10.4103/0970-9185.168149. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Gorlin A., Rosenfeld D., Ramakrishna H. Intravenous sub-anesthetic ketamine for perioperative analgesia. Journal of Anaesthesiology Clinical Pharmacology . 2016;32(2):160–167. doi: 10.4103/0970-9185.182085. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Moher D., Liberati A., Tetzlaff J., Altman D. G. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. BMJ . 2009;339(1):p. b2535. doi: 10.1136/bmj.b2535. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Davies S. The importance of PROSPERO to the National Institute for Health Research. Systematic Reviews . 2012;1(1):p. 5. doi: 10.1186/2046-4053-1-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Cumpston M., Li T., Page M. J., et al. Updated guidance for trusted systematic reviews: a new edition of the cochrane handbook for systematic reviews of Interventions. Cochrane Database of Systematic Reviews . 2019;10:p. Ed000142. doi: 10.1002/14651858.Ed000142. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Brożek J. L., Akl E. A., Alonso-Coello P., et al. Grading quality of evidence and strength of recommendations in clinical practice guidelines. Part 1 of 3. An overview of the GRADE approach and grading quality of evidence about interventions. Allergy . 2009;64(5):669–677. doi: 10.1111/j.1398-9995.2009.01973.x. [DOI] [PubMed] [Google Scholar]
- 19.Salazar C. A., Basilio Flores J. E., Veramendi Espinoza L. E., Mejia Dolores J. W., Rey Rodriguez D. E., Loza Munárriz C. Ranolazine for stable angina pectoris. Cochrane Database of Systematic Reviews . 2017;2019(1):p. Cd011747. doi: 10.1002/14651858.CD011747.pub2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Brinck E., Tiippana E., Heesen M., et al. Perioperative intravenous ketamine for acute postoperative pain in adults. Cochrane Database of Systematic Reviews . 2018;12(12):p. Cd012033. doi: 10.1002/14651858.CD012033.pub4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Patanwala A. E., Duby J., Waters D., Erstad B. L. Opioid conversions in acute care. The Annals of Pharmacotherapy . 2007;41(2):255–267. doi: 10.1345/aph.1H421. [DOI] [PubMed] [Google Scholar]
- 22.Anderson R., Saiers J. H., Abram S., Schlicht C. Accuracy in equianalgesic dosing. Journal of Pain and Symptom Management . 2001;21(5):397–406. doi: 10.1016/s0885-3924(01)00271-8. [DOI] [PubMed] [Google Scholar]
- 23.Duval S., Tweedie R. Trim and fill: a simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis. Biometrics . 2000;56(2):455–463. doi: 10.1111/j.0006-341x.2000.00455.x. [DOI] [PubMed] [Google Scholar]
- 24.Javery K. B., Ussery T. W., Steger H. G., Colclough G. W. Comparison of morphine and morphine with ketamine for postoperative analgesia. Canadian Journal of Anaesthesia . 1996;43(3):212–215. doi: 10.1007/bf03011736. [DOI] [PubMed] [Google Scholar]
- 25.Sahin A., Canbay O., Cuhadar A., Celebi N., Aypar U. Bolus ketamine does not decrease hyperalgesia after remifentanil infusion. The Pain Clinic . 2013;16(4):407–411. doi: 10.1163/1568569042664413. [DOI] [Google Scholar]
- 26.Aveline C., Hetet H., Vautier P., Gautier J. F., Bonnet F. Peroperative ketamine and morphine for postoperative pain control after lumbar disk surgery. European Journal of Pain . 2006;10(7):p. 653. doi: 10.1016/j.ejpain.2005.10.005. [DOI] [PubMed] [Google Scholar]
- 27.Engelhardt T., Zaarour C., Naser B., et al. Intraoperative low-dose ketamine does not prevent a remifentanil-induced increase in morphine requirement after pediatric scoliosis surgery. Anesthesia & Analgesia . 2008;107(4):1170–1175. doi: 10.1213/ane.0b013e318183919e. [DOI] [PubMed] [Google Scholar]
- 28.Moustafa A. M., Negmi H. H., Rabie M. E. The combined effect of ketamine and remifentanil infusions as total intravenous anesthesia for scoliosis surgery in children. Middle East Journal of Anesthesiology . 2008;19(5):1151–1168. [PubMed] [Google Scholar]
- 29.Urban M. K., Ya Deau J. T., Wukovits B., Lipnitsky J. Y. Ketamine as an adjunct to postoperative pain management in opioid tolerant patients after spinal fusions: a prospective randomized trial. HSS Journal . 2008;4(1):62–65. doi: 10.1007/s11420-007-9069-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Hadi B., Al Ramadani R., Daas R., Naylor I., Zelko R., Saleh M. The influence of anaesthetic drug selection for scoliosis surgery on the management of intraoperative haemodynamic stability and postoperative pain-pharmaceutical care programme. Southern African Journal of Anaesthesia and Analgesia . 2009;15(5):10–14. doi: 10.1080/22201173.2009.10872617. [DOI] [Google Scholar]
- 31.Hadi B. A., Ramadani R. A., Daas R., Naylor I., Zelkó R. Remifentanil in combination with ketamine versus remifentanil in spinal fusion surgery—a double blind study. International Journal of Clinical Pharmacology and Therapeutics . 2010;48(08):542–548. doi: 10.5414/cpp48542. [DOI] [PubMed] [Google Scholar]
- 32.Loftus R. W., Yeager M. P., Clark J. A., et al. Intraoperative ketamine reduces perioperative opiate consumption in opiate-dependent patients with chronic back pain undergoing back surgery. Anesthesiology . 2010;113(3):639–646. doi: 10.1097/ALN.0b013e3181e90914. [DOI] [PubMed] [Google Scholar]
- 33.Subramaniam K., Akhouri V., Glazer P. A., et al. Intra- and postoperative very low dose intravenous ketamine infusion does not increase pain relief after major spine surgery in patients with preoperative narcotic analgesic intake. Pain Medicine . 2011;12(8):1276–1283. doi: 10.1111/j.1526-4637.2011.01144.x. [DOI] [PubMed] [Google Scholar]
- 34.Abrishamkar S., Eshraghi N., Feizi A., Talakoub R., Rafiei A., Rahmani P. Analgesic effects of ketamine infusion on postoperative pain after fusion and instrumentation of the lumbar spine: a prospective randomized clinical trial. Medical Archives . 2012;66(2):107–110. doi: 10.5455/medarh.2012.66.107-110. [DOI] [PubMed] [Google Scholar]
- 35.Pacreu S., Fernández Candil J., Moltó L., Carazo J., Fernández Galinski S. The perioperative combination of methadone and ketamine reduces post-operative opioid usage compared with methadone alone. Acta Anaesthesiologica Scandinavica . 2012;56(10):1250–1256. doi: 10.1111/j.1399-6576.2012.02743.x. [DOI] [PubMed] [Google Scholar]
- 36.Yeom J. H., Chon M.-S., Jeon W. J., Shim J.-H. Peri-operative ketamine with the ambulatory elastometric infusion pump as an adjuvant to manage acute postoperative pain after spinal fusion in adults: a prospective randomized trial. Korean Journal of Anesthesiology . 2012;63(1):54–58. doi: 10.4097/kjae.2012.63.1.54. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Hadi B. A., Daas R., Zelkó R. A randomized, controlled trial of a clinical pharmacist intervention in microdiscectomy surgery—low dose intravenous ketamine as an adjunct to standard therapy. Saudi Pharmaceutical Journal . 2013;21(2):169–175. doi: 10.1016/j.jsps.2012.08.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Kim S. H., Kim S. I., Ok S. Y., et al. Opioid sparing effect of low dose ketamine in patients with intravenous patient-controlled analgesia using fentanyl after lumbar spinal fusion surgery. Korean Journal of Anesthesiology . 2013;64(6):524–528. doi: 10.4097/kjae.2013.64.6.524. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Song J. W., Shim J. K., Song Y., Yang S. Y., Park S. J., Kwak Y. L. Effect of ketamine as an adjunct to intravenous patient-controlled analgesia, in patients at high risk of postoperative nausea and vomiting undergoing lumbar spinal surgery. British Journal of Anaesthesia . 2013;111(4):630–635. doi: 10.1093/bja/aet192. [DOI] [PubMed] [Google Scholar]
- 40.Pestieau S. R., Finkel J. C., Junqueira M. M., et al. Prolonged perioperative infusion of low-dose ketamine does not alter opioid use after pediatric scoliosis surgery. Pediatric Anesthesia . 2014;24(6):582–590. doi: 10.1111/pan.12417. [DOI] [PubMed] [Google Scholar]
- 41.Minoshima R., Kosugi S., Nishimura D., et al. Intra- and postoperative low-dose ketamine for adolescent idiopathic scoliosis surgery: a randomized controlled trial. Acta Anaesthesiologica Scandinavica . 2015;59(10):1260–1268. doi: 10.1111/aas.12571. [DOI] [PubMed] [Google Scholar]
- 42.Garg N., Panda N. B., Gandhi K. A., et al. Comparison of small dose ketamine and dexmedetomidine infusion for postoperative analgesia in spine surgery-A prospective randomized double-blind placebo controlled study. Journal of Neurosurgical Anesthesiology . 2016;28(1):27–31. doi: 10.1097/ana.0000000000000193. [DOI] [PubMed] [Google Scholar]
- 43.Mitra R., Prabhakar H., Rath G., Bithal P., Khandelwal A. A comparative study between intraoperativelow-dose ketamine and dexmedetomidine, as an anaesthetic adjuvant in lumbar spine instrumentation surgery for the post-operative analgesic requirement. Journal of Neuroanaesthesiology and Critical Care . 2017;4(2):091–098. doi: 10.4103/jnacc-jnacc-3.17. [DOI] [Google Scholar]
- 44.Nielsen R. V., Fomsgaard J. S., Siegel H., et al. Intraoperative ketamine reduces immediate postoperative opioid consumption after spinal fusion surgery in chronic pain patients with opioid dependency: a randomized, blinded trial. Pain . 2017;158(3):463–470. doi: 10.1097/j.pain.0000000000000782. [DOI] [PubMed] [Google Scholar]
- 45.Perelló M., Artés D., Pascuets C., Esteban E., Ey Batlle A. M. Prolonged perioperative low-dose ketamine does not improve short and long-term outcomes after pediatric idiopathic scoliosis surgery. Spine . 2017;42(5):E304–E312. doi: 10.1097/brs.0000000000001772. [DOI] [PubMed] [Google Scholar]
- 46.Boenigk K., Echevarria G. C., Nisimov E., et al. Low-dose ketamine infusion reduces postoperative hydromorphone requirements in opioid-tolerant patients following spinal fusion. European Journal of Anaesthesiology . 2019;36(1):8–15. doi: 10.1097/eja.0000000000000877. [DOI] [PubMed] [Google Scholar]
- 47.Czarnetzki C., Desmeules J., Tessitore E., et al. Perioperative intravenous low‐dose ketamine for neuropathic pain after major lower back surgery: a randomized, placebo-controlled study. European Journal of Pain . 2020;24(3):555–567. doi: 10.1002/ejp.1507. [DOI] [PubMed] [Google Scholar]
- 48.Brinck E. C. V., Maisniemi K., Kankare J., Tielinen L., Tarkkila P., Kontinen V. K. Analgesic effect of intraoperative intravenous S-ketamine in opioid-naïve patients after major lumbar fusion surgery is temporary and not dose-dependent: a randomized, double-blind, placebo-controlled clinical trial. Anesthesia & Analgesia . 2021;132(1):69–79. doi: 10.1213/ane.0000000000004729. [DOI] [PubMed] [Google Scholar]
- 49.Ricciardelli R. M., Walters N. M., Pomerantz M., et al. The efficacy of ketamine for postoperative pain control in adolescent patients undergoing spinal fusion surgery for idiopathic scoliosis. Spine Deformity . 2020;8(3):433–440. doi: 10.1007/s43390-020-00073-w. [DOI] [PubMed] [Google Scholar]
- 50.Andleeb R., Agrawal S., Gupta P. Evaluation of the effect of continuous infusion of dexmedetomidine or a subanesthetic dose ketamine on transcranial electrical motor evoked potentials in adult patients undergoing elective spine surgery under total intravenous anesthesia: a randomized controlled exploratory study. Asian Spine Journal . 2021 doi: 10.31616/asj.2021.0015. In press. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Brinck E. C. V., Virtanen T., Mäkelä S., et al. S-ketamine in patient-controlled analgesia reduces opioid consumption in a dose-dependent manner after major lumbar fusion surgery: a randomized, double-blind, placebo-controlled clinical trial. PLoS One . 2021;16(6):p. e0252626. doi: 10.1371/journal.pone.0252626. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Murphy G. S., Avram M. J., Greenberg S. B., et al. Perioperative methadone and ketamine for postoperative pain control in spinal surgical patients: a randomized, double-blind, placebo-controlled trial. Anesthesiology . 2021;134(5):697–708. doi: 10.1097/aln.0000000000003743. [DOI] [PubMed] [Google Scholar]
- 53.Nikoubakht N., Alimian M., Faiz S. H. R., Derakhshan P., Sadri M. S. Effects of ketamine versus dexmedetomidine maintenance infusion in posterior spinal fusion surgery on acute postoperative pain. Surgical Neurology International . 2021;12:p. 192. doi: 10.25259/sni_850_2020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Riddell J. M., Trummel J. M., Onakpoya I. J. Low-dose ketamine in painful orthopaedic surgery: a systematic review and meta-analysis. British Journal of Anaesthesia . 2019;123(3):325–334. doi: 10.1016/j.bja.2019.05.043. [DOI] [PubMed] [Google Scholar]
- 55.Pang L., Cui M., Dai W., Kong J., Chen H., Wu S. Can intraoperative low-dose R,S-ketamine prevent depressive symptoms after surgery? the first meta-analysis of clinical trials. Frontiers in Pharmacology . 2020;11:p. 586104. doi: 10.3389/fphar.2020.586104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Pendi A., Field R., Farhan S.-D., Eichler M., Bederman S. S. Perioperative ketamine for analgesia in spine surgery. Spine . 2018;43(5):E299–e307. doi: 10.1097/brs.0000000000002318. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Lee C. S., Merchant S., Chidambaran V. Postoperative pain management in pediatric spinal fusion surgery for idiopathic scoliosis. Pediatric Drugs . 2020;22(6):575–601. doi: 10.1007/s40272-020-00423-1. [DOI] [PubMed] [Google Scholar]
- 58.Dahmani S., Michelet D., Abback P.-S., et al. Ketamine for perioperative pain management in children: a meta-analysis of published studies. Pediatric Anesthesia . 2011;21(6):636–652. doi: 10.1111/j.1460-9592.2011.03566.x. [DOI] [PubMed] [Google Scholar]
- 59.Dallimore D., Anderson B. J., Short T. G., Herd D. W. Ketamine anesthesia in children exploring infusion regimens. Pediatric Anesthesia . 2008;18(8):708–714. doi: 10.1111/j.1460-9592.2008.02665.x. [DOI] [PubMed] [Google Scholar]
- 60.Idvall J., Ahlgren I., Aronsen K. F., Stenberg P. Ketamine infusions: pharmacokinetics and clinical effects. British Journal of Anaesthesia . 1979;51(12):1167–1173. doi: 10.1093/bja/51.12.1167. [DOI] [PubMed] [Google Scholar]
- 61.Hood D. D., Curry R., Eisenach J. C. Intravenous remifentanil produces withdrawal hyperalgesia in volunteers with capsaicin-induced hyperalgesia. Anesthesia & Analgesia . 2003;97(3):810–815. doi: 10.1213/01.Ane.0000078811.80093.88. [DOI] [PubMed] [Google Scholar]
- 62.Wang X., Lin C., Lan L., Liu J. Perioperative intravenous S-ketamine for acute postoperative pain in adults: a systematic review and meta-analysis. Journal of Clinical Anesthesia . 2021;68:p. 110071. doi: 10.1016/j.jclinane.2020.110071. [DOI] [PubMed] [Google Scholar]
- 63.Allen C. A., Ivester J. R., Jr. Ketamine for pain management-side effects & potential adverse events. Pain Management Nursing . 2017;18(6):372–377. doi: 10.1016/j.pmn.2017.05.006. [DOI] [PubMed] [Google Scholar]
- 64.Barclay S. R., Stoltz K. B., Chung Y. B. Voluntary midlife career change: integrating the transtheoretical model and the life-span, life-space approach. The Career Development Quarterly . 2011;59(5):386–399. doi: 10.1002/j.2161-0045.2011.tb00966.x. [DOI] [Google Scholar]
- 65.Kertzner R. M. The adult life course and homosexual identity in midlife gay men. Annual Review of Sex Research . 2001;12:75–92. [PubMed] [Google Scholar]
- 66.Sanderson W., Sherbov S. Rethinking age and aging. Population Bulletin . 2008;62(4):3–16. [Google Scholar]
- 67.Mao C., Li M. Language bias among Chinese-sponsored randomized clinical trials in systematic reviews and meta-analyses-can anything Be done? JAMA Network Open . 2020;3(5):p. e206370. doi: 10.1001/jamanetworkopen.2020.6370. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The data used to support the findings of this study are available from the corresponding author upon request.