Acute Crit Care.  2024 Feb;39(1):34-46. 10.4266/acc.2023.00829.

The impact of ketamine on outcomes in critically ill patients: a systematic review with meta-analysis and trial sequential analysis of randomized controlled trials

Affiliations
  • 1Department of Mechanical and Aerospace Engineering, School of Engineering and Digital Sciences, Nazarbayev University, Astana, Kazakhstan
  • 2Department of Emergency Medicine, Medical University of Vienna, Vienna, Austria
  • 3Department of Surgery, School of Medicine, Nazarbayev University, Astana, Kazakhstan
  • 4Department of Anesthesiology, Intensive Care, and Pain Medicine, National Research Oncology Center, Astana, Kazakhstan

Abstract

Background
This meta-analysis aims to evaluate the effects of ketamine in critically ill intensive care unit (ICU) patients.
Methods
We searched for randomized controlled trials (RCTs) in PubMed, Scopus, and the Cochrane Library; the search was performed initially in January but was repeated in December of 2023. We focused on ICU patients of any age. We included studies that compared ketamine with other traditional agents used in the ICU. We synthesized evidence using RevMan v5.4 and presented the results as forest plots. We also used trial sequential analysis (TSA) software v. 0.9.5.10 Beta and presented results as TSA plots. For synthesizing results, we used a random-effects model and reported differences in outcomes of two groups in terms of mean difference (MD), standardized MD, and risk ratio with 95% confidence interval. We assessed the risk of bias using the Cochrane RoB tool for RCTs. Our outcomes were mortality, pain, opioid and midazolam requirements, delirium rates, and ICU length of stay.
Results
Twelve RCTs involving 805 ICU patients (ketamine group, n=398; control group, n=407) were included in the meta-analysis. The ketamine group was not superior to the control group in terms of mortality (in five studies with 318 patients), pain (two studies with 129 patients), mean and cumulative opioid consumption (six studies with 494 patients), midazolam consumption (six studies with 304 patients), and ICU length of stay (three studies with 270 patients). However, the model favored the ketamine group over the control group in delirium rate (four studies with 358 patients). This result is significant in terms of conventional boundaries (alpha=5%) but is not robust in sequential analysis. The applicability of the findings is limited by the small number of patients pooled for each outcome.
Conclusions
Our meta-analysis did not demonstrate differences between ketamine and control groups regarding any outcome except delirium rate, where the model favored the ketamine group over the control group. However, this result is not robust as sensitivity analysis and trial sequential analysis suggest that more RCTs should be conducted in the future.

Keyword

critical care; critical illness; intensive care unit; ketamine; pain management

Figure

  • Figure 1. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flowchart.

  • Figure 2. (A) Forest plot of mortality. (B) Trial sequential analysis plot of mortality. CI: confidence interval.

  • Figure 3. Forest plot of pain intensity (0–10). SD: standard deviation; IV: inverse variance; CI: confidence interval.

  • Figure 4. Forest plot of mean opioid consumption (standardized units). SD: standard deviation; Std: standardized; IV: inverse variance; CI: confidence interval.

  • Figure 5. Forest plot of cumulative opioid consumption (standardized units). SD: standard deviation; Std: standardized; IV: inverse variance; CI: confidence interval.

  • Figure 6. Forest plot of midazolam consumption (standardized units). SD: standard deviation; Std: standardized; IV: inverse variance; CI: confidence interval.

  • Figure 7. (A) Forest plot of delirium. (B) Trial sequential analysis plot of delirium. CI: confidence interval.

  • Figure 8. Forest plot of intensive care unit length of stay (day). SD: standard deviation; IV: inverse variance; CI: confidence interval.

  • Figure 9. Risk of bias summary.


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