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Original article
The effects of ketamine on pain control in stage IV cancer patients receiving palliative care
Seonghoon Kim1orcid, Jihun Kang1,2orcid, Jongsoon Choi1orcid, Eunhee Kong1orcid
Kosin Medical Journal 2022;37(1):37-45.
DOI: https://doi.org/10.7180/kmj.21.003
Published online: March 14, 2022

1Department of Family Medicine, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan, Korea

2Central Institute for Medical Research, Kosin University Gospel Hospital, Busan, Korea

Corresponding author: Jihun Kang, MD, MS Department of Family Medicine, Kosin University Gospel Hospital, Kosin University College of Medicine, 262 Gamcheon-ro, Seo-gu, Busan 49267, Korea Tel: +82-51-990-6551 Fax: +82-51-990-3005 E-mail: josua85@naver.com
• Received: May 7, 2021   • Revised: August 25, 2021   • Accepted: August 29, 2021

Copyright © 2022 Kosin University College of Medicine.

This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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See the editorial "Is ketamine useful for pain management in patients with stage IV cancer?" in Volume 37 on page 1.
  • Background
    We evaluated the effects of intravenous ketamine on cancer pain in stage IV cancer patients receiving palliative care.
  • Methods
    In total, 253 stage IV cancer patients with cancer pain hospitalized at a single tertiary hospital palliative care unit were included. The ketamine group contained 112 patients receiving ketamine, and the control group comprised 141 non-ketamine users. To evaluate the odds ratios (ORs) for favorable pain control, optimal pain control, and opioid-sparing effect among ketamine users, we used multivariable logistic regression adjusted for age and objective prognosis score. Differences in the visual analog scale (VAS) score, oral morphine equivalents, inter-dose frequency, and inter-dose amount were compared between both groups at the time of ketamine introduction (T0), after 24 hours (T1), and after 48 hours (T2) using repeated-measures analysis of covariance.
  • Results
    The ketamine group was more likely to show favorable pain control (OR, 3.84; 95% confidence interval [CI], 1.76–8.37) and an optimal response (OR, 3.99; 95% CI, 1.73–9.22) than the control group. Compared to the control group, the ketamine group showed a higher VAS score at T0, but a more evident VAS score reduction at T1 and T2 (pinteraction<0.001). The ketamine group was less likely than the control group to experience depressive mood (OR, 0.31; 95% CI, 0.10–0.92), but had a higher risk of delirium (OR, 2.06; 95% CI, 1.12–3.81).
  • Conclusion
    Our findings suggest that ketamine can effectively reduce refractory cancer pain in stage IV cancer patients.
The prevalence of cancer pain is estimated to be 50.7% in patients with cancer [1] and 70% in patients who have terminal cancer [2]. Refractory cancer pain refers to cancer-related pain that persists over time despite adequate administration of pain control medications, including morphine, and co-analgesics [3]. Conventional treatment cannot adequately relieve cancer pain in 20% to 40% of cases [4,5], and treatment of cancer pain can be challenging due to its complicated pathophysiology [6].
Ketamine was mainly used as an anesthetic agent since the 1970s, but it began to gain interest as an effective analgesic when the N-methyl-D-aspartate (NMDA) receptor was discovered in the 1990s [6]. Ketamine blocks the NMDA receptor non-competitively, and analgesic effect is mediated by antagonism of the NMDA receptor [6,7]. Ketamine has gained interest in research fields because low dose ketamine may decrease the amount of opioid consumption and potentiate opioid activity [8,9]. Previous studies regarding the effects of ketamine on cancer pain showed conflicting results. A study from Hong Kong reported that ketamine use decreased the numerical rating scale score for pain from 7 to 4 [10]. Another study from China reported that the intensity of refractory cancer pain was decreased by half among 47% of patients with terminal cancer who used ketamine [10]. Furthermore, ketamine demonstrated superior pain relief effects in peripheral neuropathy compared to lidocaine or placebo [11]. Use of ketamine also showed beneficial effects on various types of pain including chronic and neuropathic pain [11,12]. However, a randomized controlled study conducted in Australia found that ketamine had no additional clinical effect on cancer pain [13].
Although several studies on ketamine have been conducted, there is still a debate regarding the effectiveness of ketamine in the management of cancer pain. Although a randomized controlled study of Australia reported null effect of ketamine on controlling cancer pain, a majority of study participants were composed of lung and prostate cancer patients. Therefore, it is an area of uncertainty whether ketamine has a pain relief effect in terminal stomach and pancreatic cancer which are prevalent in Korea. In addition, despites a modest volume of evidence indicating ketamine might be effective in controlling terminal cancer pain in Asian population, few studies have estimated the pain relief effects of ketamine among patients with terminal cancer in Korea. Therefore, we aimed to evaluate the effect of intravenous ketamine on cancer pain and opioid-sparing among stage IV cancer patients at a palliative care unit.
All study protocols complied with the Declaration of Helsinki. This study was reviewed and approved by the Institutional Review Board of Kosin University Medical School (KUGH-2020-03-041), and the requirement of informed consent was waived.
1. Participants and study design
We retrospectively assessed 343 stage IV cancer patients with cancer pain who had been hospitalized from January 2015 to February 2019 at a single tertiary hospital palliative care unit. Patients who died within 48 hours after using ketamine, or had missing data on ketamine use or cancer-related variables (n=90) were excluded. Thus, a total of 253 patients were included in the study analysis. Of the 253 patients, we categorized 112 patients receiving ketamine into a ketamine group and 141 non-ketamine users into a control group. We defined stage IV cancer patients as patients who had been diagnosed clinically or histopathology with cancer and showed evidence of distant metastasis.
As the general pain control protocol for our palliative unit was administration of intravenous morphine, patients who were already taking oral opioids were administered intravenous morphine equivalent to one-third of the oral dose. For patients who started opioid therapy at the palliative care unit for the first time, the starting dose of intravenous morphine was 10 mg, and the daily dose was gradually increased until cancer pain was controlled with an inter-dose for ≤4 times a day. An inter-dose of intravenous morphine was one-fifth of the regular-opioid dose and was administered when cancer pain was not relieved with the regular opioid dose. The minimum interval between administrations was 2 hours, but there were no other limits.
Patients with unrelieved cancer pain despite an administration of rapid-acting morphine (20% of regular regular-opioid dose) and dose escalation of regular opioid (50%–100% increment of previous regular opioid dose) were selected for the ketamine group, and 0.5–1 mg/kg/day of ketamine was given.
2. Data collection and measurements
Data on the general characteristics and cancer-related variables such as the time since cancer diagnosis, cancer stage, and occurrence of metastasis were gathered from patients' electronic medical records by two trained medical data managers. A supervisor then reviewed and validated the data. Cancer stage was classified according to the American Joint Committee on Cancer staging system, 7th edition.
Data were collected for 3 days from the first use of ketamine. Each case report contained information on general characteristics, such as anthropometric measurement, and information about the cancer type, disease duration, pain characteristics, and adverse effects profiles. Two independent reviewers verified the information against the medical records. Pain levels were routinely measured by trained medical personnel using the visual analog scale (VAS). The morphine doses used in the study are expressed as the oral morphine equivalent (OME). The conversion ratio of various morphine equivalents was as follows: oral morphine 100=intravenous morphine 33=transdermal fentanyl 1=intravenous fentanyl 1=oral methadone 20=intravenous methadone 16=oral oxycodone 70=transdermal buprenorphine 1.3 [14]. Data regarding ketamine, co-analgesics, and sedation drug prescriptions were gathered and dichotomously categorized into two groups (yes or no). Body mass index was calculated as weight in kilograms and height in meters (kg/m2) and divided into three groups according to criteria defined for East Asian populations (<23, 23–24.9, and ≥25 kg/m2) [15]. Smoking status was categorized into two groups (smokers or non-smokers), and alcohol drinking status was categorized into two groups (yes or no).
The objective prognosis score (OPS) is a tool for predicting the survival of terminal cancer patients in palliative care units in Korea that was developed by Jho et al. [16], and it ranges from 0 to 8 points. In a study of terminal cancer patients admitted to palliative care units in Korea, Jho et al. [16] reported that the sensitivity, specificity, and overall accuracy of OPS with 3 as the cutoff to predict the 3-week survival rates were 74.7%, 76.5%, and 75.5%, respectively. The OPS was assessed by palliative care medical personnel on the first day of admission.
3. Study outcomes
The change in pain intensity, OME, and inter-dose frequency at the time of ketamine introduction (T0), after 24 hours (T1), and after 48 hours (T2) were serially assessed. The primary study outcomes were the change in pain level between T0 and T2. A favorable response and optimal response to ketamine were considered when the pain intensity decreased by ≥2 points and ≥50%, respectively, at 48 hours after the introduction of ketamine [17].
The secondary study outcomes were a reduction in OME, inter-dose frequency, and inter-dose amounts. Since there is no defined dose cutoff for opioid-sparing [18], we arbitrarily defined opioid-sparing effect as a reduction in opioid dose due to the use of ketamine. No opioid-sparing effect was considered when the dose was maintained.
Headache, constipation, micturition associated difficulties, nausea, depressive mood, anxiety, delirium, and dyspnea were defined as ketamine-associated adverse events. After ketamine administration, physicians regularly visited the patients to assess the adverse events via face-to-face interviews for 48 hours. Once patients were compliant with depression, patient health questionnaire-9 (PHQ-9) was used to evaluate depressive mood, and patients ≥10 points in PHQ-9 were determined having depressive mood.
4. Statistical analysis
The general characteristics and cancer-related variables of ketamine users and non-users were compared using a t-test for continuous variables and chi-square test for categorical variables. To evaluated the odds ratio (OR) for favorable pain control, optimal pain control, and opioid-sparing effect among ketamine users, we used a multivariable logistic regression analysis that was adjusted for age and OPS. Differences in VAS score, OME, inter-dose frequency, and inter-dose amount were compared between the ketamine group and control group at T0, T1, and T2 using repeated analysis of covariance.
All tests were two-tailed, and a p-value of <0.05 was considered statistically significant. All statistical analyses were performed using IBM SPSS Statistics for Windows, version 24.0 (IBM Corp., Armonk, NY, USA).
1. Clinical characteristics
The general characteristics of the study participants are presented in Table 1. Two hundred and fifty-three patients (145 males and 108 females) were included. The mean age of the control group (67.4 years) was higher than that of the ketamine group (61.5 years). The most prevalent cancer type was lung cancer, followed by stomach and pancreatic cancer. The mean length of hospital stay of the ketamine group and control group was 23.2 days and 24 days, respectively. The ketamine group had a higher OPS than did the control group, and the OPS ≥2 was 62% in the ketamine group and 46.1% in the control group. The ketamine group was more likely to use co-analgesic (39.3%) and sedative drugs (70.5%) than was the control group (5% and 34.8%, respectively). Visceral pain was the most prevalent type of pain, followed by musculoskeletal and somatic pain. There were no significant differences in sex, body mass index, cancer diagnosis, time since cancer diagnosis, smoking status, alcohol drinking status, length of hospital stay, sleep time, or types of opioid between the two groups.
2. Efficacy: pain control
The OR for favorable pain control, optimal pain control, and opioid-sparing effect are displayed in Table 2. While the ketamine group showed more favorable (OR, 3.84; 95% confidence interval [CI], 1.76–8.37) and optimal responses (OR, 3.99; 95% CI, 1.73–9.22) compared to the control group, there was no significant difference in opioid-sparing effect between the two groups.
Changes in VAS score, OME, inter-dose frequency, and inter-dose amount are presented in Fig. 1.
Although the VAS score of the ketamine group was higher than that of the control group at T0, the degree of VAS score reduction was more evident in the ketamine group than in the control group both at T1 and T2. However, OME, inter-dose frequency, and inter-dose amount was not significantly different between the ketamine group and the control group.
3. Tolerance: adverse effects
Adverse effect profiles associated with ketamine use are presented in Table 3. The most common adverse event in the ketamine group was dyspnea (n=90), followed by nausea (n=68) and delirium (n=64). Participants in the ketamine group were less likely to complain of depressive mood (OR, 0.31; 95% CI, 0.10–0.92) compared to the control group, whereas, the ketamine group showed higher risk for delirium (OR, 2.06; 95% CI, 1.12–3.81). There were no statistically significant differences in other adverse events between the two groups.
This retrospective study included 253 patients with terminal cancer pain. Our results suggest that patients who received parenteral ketamine treatment at the palliative care unit showed a decrease in VAS score associated with ketamine use. In addition, the ketamine group had a higher likelihood for favorable and optimal response compared to the control group. Although the ketamine group was less likely to experience depressive mood, their risk for delirium was higher compared to that of the control group. There was no difference in other adverse events between the two groups.
This study showed that ketamine was associated with decreased VAS score in end-stage cancer patients, and this result was consistent with those of previous studies. Cheung et al. [10] reported that 74.3% of patients (n=52) with refractory cancer pain successfully responded to ketamine. Another randomized, controlled, double-blind study reported that ketamine use reduced refractory cancer pain effectively in most patients [7]. Furthermore, Jackson et al. [2] showed in an open-label study that 67% of patients with refractory cancer pain from four palliative care units successfully responded to ketamine. The beneficial effects of ketamine on controlling cancer pain were also supported by a systemic review arguing that ketamine might be a viable treatment option for refractory cancer pain [19].
However, the efficacy of ketamine in the management of cancer pain is still controversial. A blinded, randomized, controlled study of 185 adult cancer patients with cancer pain by Hardy et al. [13] reported that ketamine administration over 5 days showed no clinical advantage over placebo with increased adverse events. In addition, an earlier systemic review reported that there is limited evidence on ketamine being effective for controlling refractory cancer pain [20]. A recent systematic review also argued that there is insufficient evidence to conclude on the efficacy of ketamine for patients with refractory cancer pain [21]. The difference in pain control results among the previous studies might be due to different study populations, heterogeneous study settings, and inconsistent outcome definitions.
We found that there was no difference in OME and inter-dose reduction between the two groups; therefore, no opioid-sparing effect was observed with ketamine use in our study. Reduced pain intensity after ketamine administration did not lead to a reduction in the administration of opioids because patients were reluctant to reduce their opioid dose as they were satisfied with their current pain medications. A small sample study reported that patients are more concerned about increasing pain that occurs when opioids are reduced than about the risk of overusing them [22]. Furthermore, based on the Centers for Disease Control and Prevention guidelines, physicians are recommended to reduce opioid dosage by 10% a month, so 48 hours may not have been enough time to observe significant opioid dose reduction [23].
Mercadante et al. [24] reported that ketamine had no opioid-sparing effect, and this finding was in line with our findings. However, several previous studies observed opioid-sparing effects related to ketamine use. Fitzgibbon and Viola [25] found a 25% median opioid dose reduction, and Courade et al. [6] also reported opioid-sparing effects (10.5%). However, the number of participants in these studies and the number of patients showing opioid-sparing effects were small. Therefore, further studies are needed.
We observed that the ketamine was less likely to experience depressive mood than was the control group. In line with our study finding, a recent narrative review reported that ketamine has antidepressant effect with a rapid onset time (within 24 hours) [26]. However, compared to that in the control group, the risk of delirium was elevated in participants who received ketamine. Although several studies have suggested that ketamine use might reduce postoperative delirium [27,28], a study reported that ketamine use might be a possible cause of delirium in cancer patients [29]. Considering the mechanism of action of ketamine, it is plausible to consider safety issues regarding psychological conditions with ketamine use. However, previous studies by Cheung et al. [10] and Mercadante et al. [7] showed tolerable safety profiles of ketamine. In addition, Sheehy et al. [30] investigated the frequency of adverse psychological events, such as hallucinations and changes in sleep patterns, with ketamine use and found no adverse events related to ketamine administration. However, it is still unclear whether the cause of delirium in our patients was the ketamine or cancer itself because delirium is prevalent in patients with terminal cancer.
A few mechanisms can explain the pain control effects of ketamine. A previous study showed that ketamine acted as an antagonist at the NMDA receptor site, which is essential for central sensitization in pain [31]. By blocking this receptor, ketamine could exert its pain control effect [32]. Another possible mechanism is that the combined use of ketamine and morphine has a synergistic effect on pain control that was better than that of either drug alone. In an experimental study, Bossard et al. [9] reported that ketamine and morphine together significantly decreased the threshold of nociceptive flexion reflex compared to morphine or ketamine alone.
This study had several limitations. First, since the study design was retrospective, and VAS scores were measured by medical personnel, VAS scores might be underestimated [33]. However, evaluation and documentation of pain are regularly performed using standardized assessment forms in our palliative care unit to ensure the quality of care. Second, because this study was conducted in stage IV cancer patients, the results of this study cannot be generalized to all cancer patients. Third, while there was consistency regarding the indication of ketamine use, the timing of the administration and ketamine dose could vary.
In conclusion, this study suggests that ketamine can effectively decrease refractory cancer pain in patients with stage IV cancer. Further prospective studies with a larger sample size should be conducted in the future to confirm and expand on these findings.

Conflicts of interest

Jihun Kang is an editorial board member of the journal but was not involved in the peer reviewer selection, evaluation, or decision process of this article. No other potential conflicts of interest relevant to this article were reported.

Funding

None.

Author contributions

Conceptualization: SK, JK. Data curation: SK, JK. Formal analysis: SK, JK. Methodology: SK, JK. Visualization: SK, JK. Writing - original draft: SK, JK. Writing - review & editing: SK, JK, JC, EK. Approval of final manuscript: all authors.

Fig. 1.
Changes in VAS score, OME, inter-dose frequency, and inter-dose amount over time in the two groups: T0, ketamine or placebo introduction time; T1, 24 hours after treatment initiation; and T2, 48 hours after treatment initiation. (A) Change in VAS score after ketamine initiation. (B) Change in OME after ketamine use. (C) Change in inter-dose frequency after ketamine use. (D) Change in inter-dose amount after ketamine use. VAS, visual analog scale; OME, oral morphine equivalent.
kmj-21-003f1.jpg
Table 1.
General characteristics of the study participants
Characteristics Total (n=253) Ketamine group (n=112) Control group (n=141) p-value
Sex 0.665
 Male 145 (57.3) 62 (55.4) 83 (58.9)
 Female 108 (42.7) 50 (44.6) 58 (41.1)
Age (yr) 64.8±11.6 61.5±11.3 67.4±11.2 <0.001
Body mass indexa) 0.656
 <23 kg/m2 103 (40.7) 48 (42.9) 55 (39.0)
 23–24.9 kg/m2 23 (9.1) 15 (13.4) 8 (5.7)
 ≥25 kg/m2 11 (4.3) 5 (4.5) 6 (4.3)
 Data not provided 116 (45.8) 44 (39.3) 72 (51.1)
Diagnosisb) 0.886
 Lung cancer 40 (15.8) 11 (9.8) 29 (20.6)
 Stomach cancer 36 (14.2) 15 (13.4) 21 (14.9)
 Pancreatic cancer 34 (13.4) 21 (18.8) 13 (9.2)
 Rectal cancer 23 (9.1) 12 (10.7) 11 (7.8)
 Hepatocellular carcinoma 20 (7.9) 5 (4.5) 15 (10.6)
 Others 100 (39.5) 48 (42.9) 52 (36.9)
Time since cancer diagnosis 0.768
 <1 yr 101 (39.9) 44 (39.3) 57 (40.4)
 1–3 yr 83 (32.8) 37 (33.0) 46 (32.6)
 ≥3 yr 69 (27.3) 31 (27.7) 38 (27.0)
Smoking status 0.821
 Smoker 47 (18.6) 22 (19.6) 25 (17.7)
 Non-smoker 206 (81.4) 90 (80.4) 116 (82.3)
Alcohol consumption 0.848
 Yes 45 (17.8) 21 (18.8) 24 (17.0)
 No 208 (82.2) 91 (81.2) 117 (83.0)
Length of hospital stay (day) 23.7±43.8 23.2±38.7 24.0±47.7 0.537
Objective prognosis scorec) 0.009
 0 20 (7.9) 3 (2.7) 17 (12.1)
 1 99 (39.1) 40 (35.7) 59 (41.8)
 2 101 (39.9) 53 (47.3) 48 (34.0)
 ≥3 33 (13.0) 16 (14.3) 17 (12.1)
Co-analgesic (Keromin) use <0.001
 Yes 51 (20.2) 44 (39.3) 7 (5.0)
 No 202 (79.8) 68 (60.7) 134 (95.0)
Sedation drug use <0.001
 Yes 128 (50.6) 79 (70.5) 49 (34.8)
 No 125 (49.4) 33 (29.5) 92 (65.2)
Sleep time (hr) 6.0±0.7 6.0±0.7 6.0±0.7 0.954
Type of pain 0.030
 Somatic 1 (0.4) 0 1 (0.8)
 Visceral 245 (96.8) 112 (100) 133 (94.3)
 Musculoskeletal 7 (2.8) 0 7 (5.0)
Type of opioid 0.074
 Intravenous 237 (93.7) 103 (92.0) 134 (95.0)
 Patch 5 (2.0) 0 5 (3.5)
 Intrathecal 11 (4.3) 9 (8.0) 2 (1.4)

Values are presented as number (%) or mean±standard deviation.

p-values were calculated using the t-test for continuous variables and the chi-square test for categorical variables.

a) Body mass index was categorized based on criteria tailored for East Asian populations.

b) The stage of cancer was IV and was categorized according to the American Joint Committee on Cancer staging system, seventh edition.

c) The objective prognosis score is a tool for predicting the survival of terminal cancer patients in palliative care units in Korea that was developed by Jho et al. [16], and it ranges from 0 to 8 points.

Table 2.
Comparison of favorable responses, optimal responses, and opioid-sparing effect between the ketamine and control groups
Control group (n=141)
Ketamine group (n=112)
p-value
No. (%) OR No. (%) OR (95% CI)
Favorable responsea) 11 (7.8) Reference 28 (25.0) 3.84 (1.76–8.37) 0.001
Optimal responseb) 9 (6.4) Reference 25 (22.3) 3.99 (1.73–9.22) 0.001
Opioid-sparing effectc) 76 (53.9) Reference 52 (46.4) 0.64 (0.38–1.09) 0.101

OR, odds ratio; CI, confidence interval.

p-values were calculated using a multivariable logistic regression after adjusting for age and the objective prognosis score.

a) A favorable response to ketamine was defined as a reduction in pain intensity by ≥2 points at 48 hours after the introduction of ketamine.

b) An optimal response was defined as a reduction in the pain intensity by ≥50% at 48 hours after the introduction of ketamine.

c) Since there is no dose cutoff for opioid-sparing, we arbitrarily defined an opioid-sparing effect as a reduction of the opioid dose due to ketamine.

Table 3.
Prevalence of and odds ratios for adverse events among ketamine users
Adverse events Control group (n=141) Ketamine group (n=112) p-value
Headache
 Prevalence 9 (6.4) 7 (6.3) 0.966
 OR (95% CI) Reference 1.13 (0.39–3.30) 0.824
Constipation
 Prevalence 23 (16.3) 19 (17.0) 0.890
 OR (95% CI) Reference 1.05 (0.52–2.10) 0.895
Difficulty urinating
 Prevalence 22 (15.6) 22 (19.6) 0.400
 OR (95% CI) Reference 1.34 (0.68–2.65) 0.402
Nausea
 Prevalence 30 (21.3) 34 (30.4) 0.099
 OR (95% CI) Reference 1.46 (0.80–2.65) 0.220
Depressive mood
 Prevalence 15 (10.6) 5 (4.5) 0.071
 OR (95% CI) Reference 0.31 (0.10–0.92) 0.034
Anxiety
 Prevalence 15 (10.6) 18 (16.1) 0.202
 OR (95% CI) Reference 1.72 (0.79–3.71) 0.171
Delirium
 Prevalence 29 (20.6) 35 (31.3) 0.052
 OR (95% CI) Reference 2.06 (1.12–3.81) 0.021
Dyspnea
 Prevalence 49 (34.8) 41 (36.6) 0.759
 OR (95% CI) Reference 1.07 (0.63–1.84) 0.795

Values are presented as number (%) unless otherwise indicated. Adverse effects were observed for 48 hours after ketamine administration.

OR, odds ratio; CI, confidence interval.

p-values were calculated using the chi-square test for categorical variables or multivariable logistic regression for ORs (age and objective prognosis score were adjusted in the multivariable logistic analysis).

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    • Is ketamine useful for pain management in patients with stage IV cancer?
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      Kosin Medical Journal.2022; 37(1): 1.     CrossRef

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      The effects of ketamine on pain control in stage IV cancer patients receiving palliative care
      Kosin Med J. 2022;37(1):37-45.   Published online March 14, 2022
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    The effects of ketamine on pain control in stage IV cancer patients receiving palliative care
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    Fig. 1. Changes in VAS score, OME, inter-dose frequency, and inter-dose amount over time in the two groups: T0, ketamine or placebo introduction time; T1, 24 hours after treatment initiation; and T2, 48 hours after treatment initiation. (A) Change in VAS score after ketamine initiation. (B) Change in OME after ketamine use. (C) Change in inter-dose frequency after ketamine use. (D) Change in inter-dose amount after ketamine use. VAS, visual analog scale; OME, oral morphine equivalent.
    The effects of ketamine on pain control in stage IV cancer patients receiving palliative care
    Characteristics Total (n=253) Ketamine group (n=112) Control group (n=141) p-value
    Sex 0.665
     Male 145 (57.3) 62 (55.4) 83 (58.9)
     Female 108 (42.7) 50 (44.6) 58 (41.1)
    Age (yr) 64.8±11.6 61.5±11.3 67.4±11.2 <0.001
    Body mass indexa) 0.656
     <23 kg/m2 103 (40.7) 48 (42.9) 55 (39.0)
     23–24.9 kg/m2 23 (9.1) 15 (13.4) 8 (5.7)
     ≥25 kg/m2 11 (4.3) 5 (4.5) 6 (4.3)
     Data not provided 116 (45.8) 44 (39.3) 72 (51.1)
    Diagnosisb) 0.886
     Lung cancer 40 (15.8) 11 (9.8) 29 (20.6)
     Stomach cancer 36 (14.2) 15 (13.4) 21 (14.9)
     Pancreatic cancer 34 (13.4) 21 (18.8) 13 (9.2)
     Rectal cancer 23 (9.1) 12 (10.7) 11 (7.8)
     Hepatocellular carcinoma 20 (7.9) 5 (4.5) 15 (10.6)
     Others 100 (39.5) 48 (42.9) 52 (36.9)
    Time since cancer diagnosis 0.768
     <1 yr 101 (39.9) 44 (39.3) 57 (40.4)
     1–3 yr 83 (32.8) 37 (33.0) 46 (32.6)
     ≥3 yr 69 (27.3) 31 (27.7) 38 (27.0)
    Smoking status 0.821
     Smoker 47 (18.6) 22 (19.6) 25 (17.7)
     Non-smoker 206 (81.4) 90 (80.4) 116 (82.3)
    Alcohol consumption 0.848
     Yes 45 (17.8) 21 (18.8) 24 (17.0)
     No 208 (82.2) 91 (81.2) 117 (83.0)
    Length of hospital stay (day) 23.7±43.8 23.2±38.7 24.0±47.7 0.537
    Objective prognosis scorec) 0.009
     0 20 (7.9) 3 (2.7) 17 (12.1)
     1 99 (39.1) 40 (35.7) 59 (41.8)
     2 101 (39.9) 53 (47.3) 48 (34.0)
     ≥3 33 (13.0) 16 (14.3) 17 (12.1)
    Co-analgesic (Keromin) use <0.001
     Yes 51 (20.2) 44 (39.3) 7 (5.0)
     No 202 (79.8) 68 (60.7) 134 (95.0)
    Sedation drug use <0.001
     Yes 128 (50.6) 79 (70.5) 49 (34.8)
     No 125 (49.4) 33 (29.5) 92 (65.2)
    Sleep time (hr) 6.0±0.7 6.0±0.7 6.0±0.7 0.954
    Type of pain 0.030
     Somatic 1 (0.4) 0 1 (0.8)
     Visceral 245 (96.8) 112 (100) 133 (94.3)
     Musculoskeletal 7 (2.8) 0 7 (5.0)
    Type of opioid 0.074
     Intravenous 237 (93.7) 103 (92.0) 134 (95.0)
     Patch 5 (2.0) 0 5 (3.5)
     Intrathecal 11 (4.3) 9 (8.0) 2 (1.4)
    Control group (n=141)
    Ketamine group (n=112)
    p-value
    No. (%) OR No. (%) OR (95% CI)
    Favorable responsea) 11 (7.8) Reference 28 (25.0) 3.84 (1.76–8.37) 0.001
    Optimal responseb) 9 (6.4) Reference 25 (22.3) 3.99 (1.73–9.22) 0.001
    Opioid-sparing effectc) 76 (53.9) Reference 52 (46.4) 0.64 (0.38–1.09) 0.101
    Adverse events Control group (n=141) Ketamine group (n=112) p-value
    Headache
     Prevalence 9 (6.4) 7 (6.3) 0.966
     OR (95% CI) Reference 1.13 (0.39–3.30) 0.824
    Constipation
     Prevalence 23 (16.3) 19 (17.0) 0.890
     OR (95% CI) Reference 1.05 (0.52–2.10) 0.895
    Difficulty urinating
     Prevalence 22 (15.6) 22 (19.6) 0.400
     OR (95% CI) Reference 1.34 (0.68–2.65) 0.402
    Nausea
     Prevalence 30 (21.3) 34 (30.4) 0.099
     OR (95% CI) Reference 1.46 (0.80–2.65) 0.220
    Depressive mood
     Prevalence 15 (10.6) 5 (4.5) 0.071
     OR (95% CI) Reference 0.31 (0.10–0.92) 0.034
    Anxiety
     Prevalence 15 (10.6) 18 (16.1) 0.202
     OR (95% CI) Reference 1.72 (0.79–3.71) 0.171
    Delirium
     Prevalence 29 (20.6) 35 (31.3) 0.052
     OR (95% CI) Reference 2.06 (1.12–3.81) 0.021
    Dyspnea
     Prevalence 49 (34.8) 41 (36.6) 0.759
     OR (95% CI) Reference 1.07 (0.63–1.84) 0.795
    Table 1. General characteristics of the study participants

    Values are presented as number (%) or mean±standard deviation.

    p-values were calculated using the t-test for continuous variables and the chi-square test for categorical variables.

    Body mass index was categorized based on criteria tailored for East Asian populations.

    The stage of cancer was IV and was categorized according to the American Joint Committee on Cancer staging system, seventh edition.

    The objective prognosis score is a tool for predicting the survival of terminal cancer patients in palliative care units in Korea that was developed by Jho et al. [16], and it ranges from 0 to 8 points.

    Table 2. Comparison of favorable responses, optimal responses, and opioid-sparing effect between the ketamine and control groups

    OR, odds ratio; CI, confidence interval.

    p-values were calculated using a multivariable logistic regression after adjusting for age and the objective prognosis score.

    A favorable response to ketamine was defined as a reduction in pain intensity by ≥2 points at 48 hours after the introduction of ketamine.

    An optimal response was defined as a reduction in the pain intensity by ≥50% at 48 hours after the introduction of ketamine.

    Since there is no dose cutoff for opioid-sparing, we arbitrarily defined an opioid-sparing effect as a reduction of the opioid dose due to ketamine.

    Table 3. Prevalence of and odds ratios for adverse events among ketamine users

    Values are presented as number (%) unless otherwise indicated. Adverse effects were observed for 48 hours after ketamine administration.

    OR, odds ratio; CI, confidence interval.

    p-values were calculated using the chi-square test for categorical variables or multivariable logistic regression for ORs (age and objective prognosis score were adjusted in the multivariable logistic analysis).


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