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. 2026 Aug 20;17:1881935. doi: 10.3389/fneur.2026.1881935

Effects of esketamine on postoperative delirium in adult patients: a systematic review and meta-analysis of randomized controlled trials

Xiaohui Liu 1,†, Chaolei Liu 2,†, Yali Li 3, Zhenfeng Yang 4, Jingjing Zhang 2, Jiaojiao Yang 2, Wei He 5, Ya Liu 6, Jin Li 2,*
PMCID: PMC13538021  PMID: 42694136

Abstract

Background

Postoperative delirium (POD) is a common perioperative complication linked to poor prognosis. As the S-enantiomer of racemic ketamine, esketamine exhibits neuroprotective potential, yet its overall efficacy and safety for perioperative neurocognitive protection await systematic confirmation.

Methods

PubMed, Embase, Cochrane Library, and Web of Science were searched from inception to November 8, 2025, for randomized controlled trials (RCTs) examining esketamine’s effect on POD in patients under elective general anesthesia. Meta-analyses were conducted via Stata/MP 18.0: risk ratios (RR) with 95% confidence intervals (CI) for dichotomous data, and mean differences (MD) or standardized mean differences (Cohen’s d) with 95% CIs for continuous outcomes. Cochrane RoB 2.0 Tool assessed bias risk in included studies. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) framework was adopted to evaluate the certainty of all evidence.

Results

Twenty-two RCTs involving 2,860 patients were included. Perioperative esketamine administration significantly reduced POD incidence (RR = 0.57, 95% CI: 0.43 to 0.75; p < 0.001), and this protective effect was consistent across subgroups (age, surgical type, dosing regimen). Esketamine also decreased delayed neurocognitive recovery (dNCR) incidence (RR = 0.60, 95% CI: 0.44 to 0.82; p < 0.01), improved short-term postoperative recovery quality (QoR-15 score, MD = 4.80, 95% CI: 1.06 to 8.55; p < 0.01), and reduced serum IL-6 (Cohen’s d = −1.47, 95% CI: −2.40 to −0.55; p < 0.01) and S100β (Cohen’s d = −0.85, 95% CI: −1.49 to −0.20; p = 0.01) levels at 1 day postoperatively. Additionally, it reduced postoperative agitation, with no obvious elevation in overall adverse event incidence. Studies with follow-up < 3 days showed no significant POD benefit, and no effect on NSE levels was observed. GRADE assessment yielded low or very low certainty for all outcomes, attributed to clinical heterogeneity, single-region study population, inconsistent outcome assessment, and limited secondary data.

Conclusion

Perioperative esketamine exerts favorable neuroprotective and recovery-improving effects in Chinese surgical populations, reducing POD, dNCR, postoperative neuroinflammation, neuronal injury, and agitation with a safe adverse event profile. Restricted by geographical homogeneity, substantial heterogeneity, and low GRADE evidence certainty, further high-quality international multicenter trials are required to validate and standardize its clinical application.

Systematic review registration

This systematic review has been formally registered. https://www.crd.york.ac.uk/PROSPERO/view/CRD420251184190.

Keywords: delayed neurocognitive recovery, esketamine, grading of recommendations assessment, development and evaluation, IL-6, meta-analysis, postoperative delirium, S100β

Background

Postoperative delirium (POD) is a relatively common and serious complication, especially in elderly postoperative patients (1). It is a severe and emergency encephalopathy characterized by grievous cerebral dysfunction, manifesting as fluctuations in mental status, including unstable consciousness, various degrees of inattention, and disturbed sleep–wake cycles (2). Since postoperative cognitive dysfunction (POCD) was updated to postoperative neurocognitive disorder (PND) in 2018, the definition POD has also been extended from the original 3 days postoperatively to 7 days postoperatively (3). POD has long been a research focus in anesthesiology, primarily due to its association with higher odds of mortality, postoperative complications, unplanned intensive care unit admissions, length of hospital stay, and non-home discharge (4, 5). Delirium is not only a short-term prognostic concern; with the increasing recognition that it may lead to dementia, postoperative delirium has become a public health priority (6, 7). There are numerous predisposing factors for POD, such as advanced age, polypharmacy, excessive anesthetic depth, major surgery, postoperative pain, among others (2, 8).

Esketamine or S-Ketamine is the S-enantiomer of racemic ketamine with a higher affinity for N-methyl-D-aspartate (NMDA) receptors and is approximately twice as potent as racemic ketamine for analgesia (9, 10) Additionally, compared with ketamine, esketamine has fewer psychiatric adverse reactions (including hallucinations, dissociation, and mental disorders) and better cardiovascular stability, attributed to its milder stimulatory effect on the sympathetic nervous system. Recent studies have also demonstrated its therapeutic potential for depression (11), postoperative sleep Disturbance (12), postpartum depression (13), and other conditions.

Regarding the prevention of POD, research findings on esketamine remain inconsistent—some studies have demonstrated positive effects (14, 15), while others suggest no significant benefit (16, 17). A 2025 scoping review encompassing 58 trials stands as one of the most extensive syntheses of evidence on ketamine’s cognitive impacts in surgical patients to date. Its conclusions remain ambiguous, and clarifying the role—if any—that ketamine plays in preventing PND continues to be a key ongoing research priority (18). Given that the included studies comprise both randomized controlled trials (RCTs) and retrospective cohort studies, the intervention groups involve both ketamine and enantiomeric formulations, and the study endpoints include both POD and dNCR, the heterogeneity across existing trials has precluded a definitive systematic review and meta-analysis of ketamine’s perioperative cognitive effects. Therefore, this systematic review and meta- analysis aims to explore the effects of esketamine on postoperative delirium in patients undergoing general anesthesia, based on RCTs.

Methods

The study was registered in the International Prospective Register of Systematic Reviews (PROSPERO, CRD420251184190) and we have reported the findings in accordance with the Preferred Reporting Items for Systematic Reviews and Meta- analysis (PRISMA) (19).

Search strategy and eligibility criteria

We systematically searched the databases of PubMed, Embase, Cochrane library and Web of science for all relevant studies from inception to Novembre 08, 2025, by two authors (XHL and CLL). We used MeSH terminology and entry words in combination, including ‘esketamine’ ‘postoperative cognitive complications’ ‘neurocognitive disorder’ and emergence delirium’. Then using the Boolean operator “AND/OR” and the search terms mesh and text to combine the results.

Articles were included if they met the following criteria: (1) randomized controlled trial involving human; (2) adult patients scheduled for elective surgery under general anesthesia; (3) the study assigned participants to an esketamine group or a control group, and documented the incidence of postoperative delirium at any observed time point. (4) complete full texts were retrievable in English or Chinese languages.

Selection and date collection process

Two researchers (XHL and CLL) independently screened the results retrieved from the literature search. First, duplicate studies were removed. Then, the titles and abstracts of all studies were reviewed. After completing the preliminary screening, the full texts were further carefully evaluated to determine the final included literature in accordance with the inclusion criteria. Any discrepancies were discussed with a third reviewer (JL) until a consensus was reached. The screening and management of literature were performed using Endnote X9 software.

Two researchers (XHL and CLL) independently extracted information using a standardized form, capturing demographic details, surgical type, interventions (dose and route of esketamine administration), comparisons, assessment and incidence of postoperative delirium. Disagreement between the investigators were discussed with a third reviewer (JL) until consensus was reached.

Risk bias and quality of evidence assessment

Risk of bias was assessed by two reviewers (LYL and JJZ) independently, using the Cochrane risk of bias tool (RoB 2.0 Tool) (20). This risk of bias tool presents five domains of bias. For each domain there were questions with the following possible answers: “Yes,” “Probably yes,” “Probably no,” “No” and “No information” and the risk of bias was classified as “Low risk,” “Some concerns,” or “High risk” of bias. The risk of bias was assessed for each outcome. If required, a third reviewer (JL) was consulted for decision-making.

Outcomes assessed

The primary outcome was the incidence of POD, and the secondary outcomes included dNCR, Quality of Recovery-15 (QoR-15) scores, Mini-Mental State Examination (MMSE) scores, serum concentrations of interleukin-6 (IL-6), central nervous system specific protein β (S100β), and neuron-specific enolase (NSE), as well as the incidence of adverse effects (nausea and vomiting, dizziness, hallucination/nightmare, agitation, pruritus, and delayed recovery).

Certainty of evidence assessment

We evaluated the certainty of evidence for several outcomes by using the GRADE (Grading of Recommendations, Assessment, Development and Evaluation) framework (21, 22). For each body of evidence examining the same specific intervention type, we independently assessed the overall certainty as high, moderate, low, or very low, on the basis of five domains: risk of bias, inconsistency, indirectness, imprecision, and publication bias (22, 23). Two reviewers (XHL and CLL) independently assessed the certainty of evidence, with disagreements resolved through discussion or third party adjudication. We documented the rationale for downgrading or upgrading evidence certainty for each domain.

Statistical analysis

All statistical analyses were performed using Stata/MP 18.0 (StataCorp LLC, College Station, TX, USA) following Cochrane Handbook and PRISMA guidelines. Dichotomous outcomes were analyzed using relative risk (RR) with 95% confidence intervals (CI). Continuous outcomes were assessed via mean difference (MD) or standardized mean difference (Cohen’s d) with 95% CIs. Statistical heterogeneity across included trials was quantified using the I2 and H2 statistics. Conventionally, an I2 value ≤50% was interpreted as low to moderate heterogeneity, warranting the use of a fixed-effect model, whereas an I2 value >50% indicated substantial heterogeneity and justified adoption of a random-effect model. However, given prominent clinical heterogeneity stemming from surgical categories, esketamine dosing regimens, control group protocols, statistical model selection in the present study was not solely dictated by this arbitrary I2 cutoff value. For the primary pooled analyses, we followed the prespecified I2-based modeling rule described above. To verify the robustness of key outcomes, supplementary sensitivity analyses were further performed using two alternative random-effects estimators: the Restricted Maximum Likelihood (REML) method and the Sidik-Jonkman approach. Potential publication bias was assessed through three complementary approaches: visual symmetry evaluation of funnel plots, Egger’s linear regression test under a random-effects, and nonparametric trim-and-fill analysis with a linear estimator. A two-sided p < 0.05 was considered statistically significant.

Results

Study selection

Database search strategy retrieved 1,152 potentially relevant records published from 1970 to 2025. 242 duplicate studies and 256 automatically flagged trial registration records were removed. After screening the title and abstract, 616 studies did not meet the inclusion criteria. Then we excluded 16 studies after reading the full texts, including 13 studies with no data on the incidence of POD and 3 studies that did not meet our needs. Finally, there were 22 studies were left for the meta-analysis (14–17, 24–41). The flow diagram was presented in Figure 1. It follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow diagram (19), and summarizes the reasons for exclusion of records.

Figure 1.

PRISMA flow diagram detailing study selection for a review. Records identified total 1,152; 498 removed before screening, 654 screened, 301 excluded, 353 sought for retrieval, 315 not retrieved, 38 assessed for eligibility, 16 excluded, and 22 studies included in review.

Flow chart of selection of the included studies.

Risk of bias assessments

Risk of bias assessment revealed that 68.2% of the included studies rated as “low risk,” with no studies classified as “high risk.” The remaining 31.8% were categorized as “some concerns.” The highest risk proportion was observed in the “outcome measurement” domain, primarily attributed to study design limitations—particularly in studies where POD was a secondary outcome, with insufficient details provided regarding POD assessment methods (Figure 2).

Figure 2.

Risk of bias summary table and bar chart for clinical studies, showing five domains: randomization process, deviations from intended interventions, missing outcome data, measurement of the outcome, and selection of the reported result. Most studies exhibit low risk (green circles), with some concerns (yellow circles) in specific domains, especially for missing outcome data and measurement of the outcome. The bar chart quantifies the percentage of each bias category, indicating that most domains are assessed as low risk, with a smaller proportion reflecting some concerns and no high-risk judgments present.

Summary of risk of bias assessment for included studies.

Characteristics of the included studies

We included 22 studies (14–17, 24–41) published between 2022 and 2025 in our analysis, encompassing a total of 2,860 patients: 1,432 in the esketamine group and 1,428 in the control group. Among these studies, 14 (63.6%) focused on elderly patients. Regarding surgical types, 3 studies involved cardiac surgery, while the remainder were major surgeries, including pulmonary surgery, gastrointestinal tumor resection, orthopedic surgery, and breast cancer surgery. The characteristics of the included studies are summarized in Table 1, such as American Society of Anesthesiologists (ASA) physical status classification, age range, surgical type, esketamine administration strategy, assessment methods and time points for POD primary and secondary endpoints, and POD incidence. In terms of dosage, most studies used subanesthetic doses of esketamine; however, its administration methods varied significantly, including single preoperative bolus injection, continuous perioperative infusion, and sole addition to patient-controlled intravenous analgesia (PCIA) pumps.

Table 1.

Summary of the characteristics of the included studies.

Study Surgery type Sample size Study group Strategy of esketamine Age ASA (I/II/III/IV) Assessment Assessment duration (d) Incidence of POD (%) Endpoint priority Effect of esketamine on POD
Zha J, 2025 (14) Gastrointestinal tumor surgery 100 Esketamine VS normal saline 0.25 mg/kg upon anesthesia induction Elderly I + II/III:44/6 VS 44/6 3D-CAM 7 24.0 VS 48.0 primary positive
Xiong X, 2024 (15) Heart valve replacement 112 Esketamine VS normal saline Single dose of 0.25 mg/kg before anesthesia induction Adult 0/14/42/0 VS 0/13/43/0 CAM-ICU/3D-CAM 7 23.2 VS 42.9 primary positive
Zhang Y, 2024 (16) Noncardiac surgery 426 Esketamine VS normal saline Single dose 0.2 mg/kg before anesthesia induction Elderly / 3D-CAM 7 54.9 VS 53.1 primary No effect
Ma CB, 2024 (17) TKA and THA 260 Esketamine VS normal saline 0.20 mg/kg loading, 0.125 mg/kg/h infusion, 0.5 mg/kg for postoperative analgesia Elderly 0/96/34/0 VS 0/101/29/0 3D-CAM 3 8.5 VS 10.8 primary no effect
Xie J, 2025 (24) Esophageal cancer surgery 202 Esketamine VS normal saline Continue intravenous esketamine 0.015 mg/kg/h for 48 h postoperatively. Adult 22/77/0/0 VS 27/76/0/0 ICDSC / 16.2 VS 13.6 Secondary No effect
Xi L, 2025 (25) Heart valve replacement 78 Esketamine+remimazolam VS dexmedetomidine 0.5 mg/kg before operation and maintained at 0.5 mg/kg/h intraoperatively Adult 0/14/25/0 VS 0/11/28/0 CAM 3 12.82 VS 33.3 Secondary positive
Ju LY, 2025 (26) OPCABG 134 Esketamine VS normal saline 0.25 mg/kg/h intraoperatively Adult 0/0/12/55 VS 0/0/16/51 CAM-ICU / 3D-CAM 7 13.4 VS 28.4 primary No effect
Hua H, 2025 (27) THA 114 Esketamine+dexmedetomidine opioids free anesthesia VS balanced anesthesia with opioids 0.35 mg/kg at induction and 0.2 mg/kg/h at maintenance Elderly 0/35/22/0 VS 0/42/15/0 CAM-CR 3 5.0 VS 17.0 primary positive
Hu S, 2025 (28) Lumbar fusion surgery 78 Esketamine VS normal saline Single dose of 0.25 mg/kg after anesthesia induction Elderly 0/32/7/0 VS 0/30/9/0 CAM 3 15.0 VS 44.0 Secondary positive
Fu H, 2025 (29) Lung cancer surgery 106 Esketamine VS normal saline 0.25 mg/kg during induction and 0.1 mg/kg/h during maintenance for 30 min Elderly 0/22/31/0 VS 0/26/27/0 CAM 3 3.8 VS 15.1 primary positive
Zhang CL, 2024 (30) Lung cancer surgery 163 Esketamine+dexmedetomidine VS dexmedetomidine 0.25 mg/kg esketamine during anesthesia induction,continuous infusion 0.125 mg/kg/h until 30 min before the end of surgery Elderly 0/23/59/0 VS 0/19/62/0 3D-CAM 7 14.6 vs. 30.9 primary positive
Ye Q, 2024 (31) Hip surgery 121 Esketamine+dexme-detomidine opioids free group VS balanced anesthesia with opioids Esketamine 0.5 mg/kg during induction and 0.25 mg/kg/h during maintenance Elderly 0/44/16/0 VS 0/37/24/0 CAM 2 11.7 VS 4.8 Secondary No effect
Wang H, 2024 (32) Breast cancer surgery 64 Esketamine VS normal saline single dose of 0.2 mg/kg after anesthesia induction Adult / / 1 0 VS 0 Secondary No effect
Lu Y, 2024 (33) Thoracic surgery 94 Esketamine VS dexmedetomidine 0.5 mg/kg 20 min after anesthesia induction Elderly 14/19/14/0 VS 12/21/14/0 CAM / 4.3 VS 19.2 Secondary positive
Liu J, 2024 (34) Gastrointestinal surgery 60 Esketamine+sufenta-nil VS sufentanil in PCIA 1 mg/kg in PCIA pump elderly / CAM 3 13. VS 40.0 Secondary positive
Li N, 2024 (35) Breast cancer surgery 120 Esketamine VS sufentanil 0.30 mg/kg loading,0.25 mg/kg/h infusion,100 mg for postoperative analgesia Adult 41/19/0/0 VS 40/20/0/0 / 2 5.0 VS 6.7 Secondary no effect
Jing Z, 2024 (36) Gastrointestinal tumor surgery 87 Esketamine VS normal saline Single dose of 0.25 mg/kg and 0.1 mg/kg/h infusion Elderly 0/35/9/0 VS 0/34/9/0 CAM 3 2.3 VS 11.6 Secondary No effect
Huang C,2024 (37) Orthopedic, urologic and major abdominal surgeries 209 Esketamine VS normal saline 0.5 mg/kg 10 min after induction and 2 mg/kg for PCIA Elderly 12/174/27 VS 8/166/30 CAM 5 12.1 VS 10.9 primary No effect
Ma J, 2023 (38) Gastrointestinal tumors surgery 62 Esketamine VS normal saline 0.25 mg/kg loading and 0.125 mg/kg/h infusions elderly 0/25/6/0 VS 0/24/7/0 CAM-ICU 3 9.7 VS 12.9 Secondary No effect
Liu T, 2023 (39) Gynecological surgery 39 Esketamine VS normal saline 0.125 mg/kg 30 min intraoperatively Adult 3/17/0/0 VS 1/18/0/0 CAM-ICU 1 0 VS 0 Secondary No effect
Gan SL, 2023 (40) Lung cancer surgery 151 Esketamine VS normal saline 0.1 mg/kg loading, 0.1 mg/kg/h infusion, 1 mg/ kg in PCIA Adult 35/42/1 VS 32/45/1 CAM/CAM-ICU / 0 VS 0 Secondary No effect
Li J, 2022 (41) TKA 80 Esketamine VS normal saline 0.2 mg/kg during induction elderly 0/36/4/0 VS 0/35/5/0 CAM 3 0 VS 2.5 Secondary No effect

TKA, Total knee arthroplasty; THA, Total hip arthroplasty; OPCABG, Off-pump coronary artery bypass grafting; PCIA, Patient controlled intravenous analgesia; ICDSC, Intensive Care Delirium Screening Checklist; CAM-CR, Chinese Revised Delirium Diagnostic Scale; 3D-CAM, 3-min Diagnostic Confusion Assessment Method; CAM, Confusion Assessment Method; CAM-ICU, Confusion Assessment Method for the Intensive Care Unit.

Effect of esketamine on POD

Statistical heterogeneity was detected across the 22 included studies (I2 = 53.66%, H2 = 2.16), prompting the adoption of the DerSimonian-Laird random-effects model for all meta-analyses. The pooled results demonstrated that esketamine administration was significantly associated with a reduced incidence of POD compared with the control group (RR = 0.57, 95%CI: 0.43 to 0.75; p < 0.001; Figure 3). Correspondingly, intraoperative esketamine use conferred a protective effect against POD, reducing the relative risk of developing POD by 43%.

Figure 3.

Forest plot from a meta-analysis comparing the risk ratio of an outcome between esketamine and control groups across twenty-two studies, showing individual study risk ratios with confidence intervals, total events, study weights, and an overall pooled risk ratio of 0.57 with a ninety-five percent confidence interval of 0.43 to 0.75, indicating a statistically significant effect favoring esketamine.

Forest plot of the incidence of POD between Esketamine and control group.

Sensitivity analyses of primary outcome

Owing to double-zero events and sparse event counts observed in several included trials, we conducted multiple sensitivity analyses to validate the robustness of our primary pooled estimates, employing the REML random-effects model and the Sidik–Jonkman variance estimator. The REML model generated a pooled RR of 0.58 (95% CI: 0.45 to 0.75; p < 0.001; Supplementary Figure 1), while the Sidik–Jonkman approach yielded highly consistent results, with a pooled RR of 0.57 (95% CI: 0.44 to 0.75; p < 0.001; Supplementary Figure 2).

For further verification, we manually excluded four trials (32, 39–41) with double-zero events and re-analyzed the remaining data using the DerSimonian–Laird random-effects model. The resulting pooled RR was 0.56 (95% CI:0.42 to 0.75; p < 0.001; Supplementary Figure 3), which still indicated a significant protective effect of esketamine against postoperative delirium. In addition, three trials (25, 27, 31) applied esketamine combined with remimazolam or dexmedetomidine; concomitant use of other sedatives may magnify the efficacy signal of esketamine alone. We thus removed these three combination-treatment studies to explore the pure effect of esketamine monotherapy versus placebo or control drugs. The updated pooled RR was 0.59 (95% CI:0.43 to 0.79; p < 0.001; Supplementary Figure 4).

The conclusions derived from sensitivity analyses were largely aligned with the main pooled results, offering suggestive evidence that our core findings were relatively stable.

Subgroup analyses of primary outcome

To explore the sources of heterogeneity and verify the consistency of esketamine’s efficacy across varying administration routes, patient populations, and surgical types, prespecified subgroup analyses were conducted (summary presented in Figure 4). Among all subgroups, only the stratum evaluating studies with a follow-up duration of < 3 days yielded results inconsistent with the overall findings, showing no significant association between esketamine and POD risk (RR = 0.86, 95% CI: 0.54 to 1.37; p = 0.517, Figure 4; Supplementary Figure 5).

Figure 4.

Forest plot summarizing subgroup meta-analyses of esketamine, comparing relative risk (RR) with 95 percent confidence intervals for age, assessment duration, esketamine strategy, endpoint priority, and surgery type. Statistically significant results are shown for most subgroups, with overall RR 0.57 (95 percent CI: 0.43 to 0.75, p = 0.000), using a random-effects model.

Summary of subgroup analyses for POD incidence.

In contrast, all other subgroups—including those stratified by patient age (Supplementary Figure 6), esketamine administration regimen (Supplementary Figure 7), endpoint priority (Supplementary Figure 8) —yielded results consistent with the primary analysis.

We further subdivided the included studies into refined surgical subgroups to explore potential effect modification (Figure 5; Supplementary Figure 9). Subgroup analyses revealed that the magnitude of the protective effect of esketamine against postoperative delirium varied markedly across these finely categorized surgical types, indicating inconsistent treatment effects among subgroups.

Figure 5.

Forest plot showing meta-analysis of risk ratios and confidence intervals for various surgical categories comparing esketamine versus control groups, with subgroup analyses for abdominal, breast cancer, cardiac, orthopedic, thoracic, and various non-cardiac surgeries, overall pooled estimate, study weights, and heterogeneity statistics included.

Subgroup analysis by surgical type.

Other outcomes of interest

In several of the included articles, additional outcomes were reported, including dNCR, QoR-15 scores, MMSE scores, serum concentrations of inflammatory factors such as IL-6 and brain injury biomarkers (S100β and NSE).

Seven studies (14–16, 25, 33, 38, 39) further conducted postoperative MMSE assessments; however, specific score data were retrievable from only four of these studies (Figure 6). Regrettably, perioperative esketamine administration did not significantly improve MMSE scores at 1 day post-general anesthesia surgery (MD = 0.79, 95%CI: −0.16 to 1.74; p = 0.05). Although the improvement in absolute MMSE values lacked statistical significance, a pooled analysis of three studies (14, 37, 38) demonstrated a beneficial effect of esketamine on dNCR (RR = 0.60, 95% CI: 0.44 to 0.82; p < 0.01; Figure 7).

Figure 6.

Forest plot summarizing two meta-analyses comparing Esketamine to control for MMSE and QoR-15 outcomes, with individual study mean differences and confidence intervals shown as blue squares and lines, summary effects as red diamonds, and heterogeneity statistics and weights detailed alongside.

Differences in MMSE and QoR-15 scores between esketamine and control groups.

Figure 7.

Forest plot comparing risk ratios with 95 percent confidence intervals for three studies on esketamine versus control, with weights shown. Overall risk ratio is 0.60, confidence interval 0.44 to 0.82.

Forest plot of the incidence of dNCR between esketamine and control group.

Concurrently, four studies (30, 36, 37, 40) evaluated patients’ postoperative recovery quality using the QoR-15 as the assessment tool, with follow-up assessments extending up to 90 days postoperatively. Meta-analysis revealed that intraoperative esketamine administration could enhance patients’ short-term postoperative recovery quality (MD = 4.80, 95% CI: 1.06 to 8.55; p < 0.01; Figure 6).

Inflammatory markers (e.g., IL-6) and brain injury markers (e.g., S100β and NSE) were also routinely quantified in the included studies. These biomarkers were selected for two key reasons: first, they are known to correlate with postoperative delirium (POD); second, they were intended to elucidate the potential mechanism of action of esketamine. The results indicated that esketamine administration reduced serum concentrations of IL-6 (Cohen’s d = −1.47, 95% CI: −2.40 to −0.55; p < 0.01) and S100β (Cohen’s d = −0.85, 95% CI: −1.49 to −0.20; p = 0.01) at 1 day postoperatively, whereas no statistically significant effect was observed on NSE levels (Cohen’s d = −0.83, 95% CI: −1.72 to 0.07; p = 0.07; Figure 8).

Figure 8.

Forest plot graphic showing meta-analysis results for three biomarkers (IL-6, NSE, S100β) comparing esketamine and control groups. Mean, standard deviation, Cohen's d, ninety-five percent confidence intervals, and study weights are presented for each study. Negative effect sizes favored esketamine, with summary effect sizes and heterogeneity statistics for each biomarker displayed as diamond shapes.

Differences in postoperative serological markers.

Esketamine-related adverse effect

The adverse effects were identified in 16 articles (15–17, 24, 27, 28, 30–37, 40, 41) (Figure 9). The incidence of adverse effects was determined using dichotomous data and converted to incidence (n). The overall adverse effect was not significant increase in ketamine group (RR = 0.93, 95% CI, 0.85 to 1.03, p = 0.08). Depending on the different adverse effects associated with esketamine that may occur after surgery, we performed subgroup analyses to observe differences in nausea and vomiting, dizziness, hallucination/ nightmare, agitation, pruritus and delayed recovery between two groups. We found that esketamine could decrease the incidence of agitation (RR = 0.63, 95% CI, 0.44 to 0.89, p = 0.01). No statistically significant disparities were detected across all secondary adverse endpoints, with postoperative nausea and vomiting being the most commonly measured adverse event.

Figure 9.

Forest plot displaying relative risk (RR) with ninety-five percent confidence intervals for adverse events comparing Esketamine versus control across multiple studies, including outcomes for agitation, delayed recovery, dizziness, hallucination/nightmare, postoperative nausea and vomiting (PONV), pruritus, and overall summary, with subgroup and overall heterogeneity statistics.

Summary of adverse events.

Sensitivity analyses and publication bias

Funnel plot analysis of the 22 eligible RCTs showed roughly symmetric effect sizes around the pooled estimate, with no obvious skewness (Supplementary Figure 10). We quantified publication bias via two complementary methods under the DerSimonian–Laird random-effects model. Egger’s regression test yielded a coefficient of −0.73 (95% CI:−1.665 to 0.196, p = 0.115), showing no significant small-study effects. Trim-and-fill analysis imputed one hypothetical missing small trial on the funnel plot’s right side; after adjustment, the pooled logRR slightly attenuated from −0.562 to −0.544 with overlapping 95% CIs, indicating publication bias exerted minimal impact on our main results (Supplementary Figure 11). A leave-one-out sensitivity analysis was further performed, iteratively omitting each trial to examine its influence on the overall pooled RR for postoperative delirium. Effect magnitude and statistical significance remained stable throughout all iterations (Supplementary Figure 12). This implied that the observed protective association between esketamine and reduced postoperative delirium risk was relatively robust and not driven by any single included study.

Certainty of evidence

The certainty of evidence for all outcomes was evaluated using the GRADE system (Table 2). The evidence supporting esketamine’s efficacy in reducing POD and dNCR incidence was judged low, mainly due to high inter-trial inconsistency and limited generalizability as all trials enrolled only Chinese patients. Evidence for MMSE and QoR-15 scores was further downgraded to very low certainty, additionally hampered by small sample sizes and wide confidence intervals. The safety outcome (adverse events) yielded low-certainty evidence, attributable to inconsistent adverse event reporting standards across trials. Collectively, only low or very low certainty evidence was available for all measured endpoints.

Table 2.

GRADE certainty assessment of evidence for esketamine versus placebo/control drug for postoperative delirium and secondary outcomes.

Outcome Certainty assessment No. of patients Effect Certainty
No. of studies Study design Risk of bias Inconsistency Indirectness Imprecision Other considerations Esketamine Placebo/control drug Relative (95% CI) Absolute (95% CI)
POD incidence 22 Randomized trials Not serious Seriousa Seriousb Not serious None 243/1432 (17.0%) 337/1428 (23.6%) RR 0.57 (0.43 to 0.75) 101 fewer per 1,000 ⨁⨁◯◯
Lowa,b
dNCR incidence 3 Randomized trials Not serious Not serious Seriousb Seriousc None 45/189 (23.8%) 72/182 (39.6%) RR 0.60 (0.44 to 0.82) 158 fewer per 1,000 ⨁⨁◯◯
Lowb,c
MMSE score 4 Randomized trials Not serious Seriousa Seriousb Seriousc None 148 147 - mean 0.79 higher (−0.16 to 1.74) ⨁◯◯◯
Very lowa,b,c
QoR-15 score 4 Randomized trials Not serious Seriousa Seriousb Seriousc None 312 303 - MD 4.8 higher (1.06 to 8.55) ⨁◯◯◯
Very lowa,b,c
Adverse events 16 Randomized trials Seriousd Not serious Seriousb Not serious None RR 0.93 (0.85 to 1.03) 1 fewer per 1,000 ⨁⨁◯◯
Lowb,d

POD, postoperative delirium; dNCR, Delayed neurocognitive recovery; MMSE, Mini-Mental State Examination; QoR-15, 15-item Quality of Recovery questionnaire; CI, confidence interval; MD, mean difference; RR, risk ratio.

aThere was notable inconsistency in effect estimates between different eligible RCTs.

bAll trials originated from China, limiting the generalizability of our results to international clinical settings.

cThe number of included studies was relatively limited.

dMultiple studies lacked consistent definitions and assessment standards for adverse events.

Discussion

This meta-analysis of 22 studies involving 2,860 patients systematically evaluated the efficacy and safety of esketamine in perioperative neurocognitive protection and recovery. The key findings demonstrated that esketamine administration significantly reduced the incidence of POD by 43% compared with control groups, with this protective effect remaining consistent across diverse subgroups (including different age groups, surgical types, and dosing regimens). Additionally, esketamine exerted beneficial effects on multiple perioperative outcomes, including reducing dNCR incidence, improving short-term QoR-15 scores, lowering serum levels of inflammatory (IL-6) and brain injury (S100β) markers at 1 day postoperatively, and decreasing agitation incidence— with no clear evidence of an increased risk of overall adverse events. Taken together, these results imply a potential neuroprotective role of perioperative esketamine, with beneficial effects across multiple postoperative outcomes.

The primary finding of our study—esketamine’s significant reduction in POD incidence (RR = 0.57, 95% CI: 0.43 to 0.75)—aligns with the growing body of evidence suggesting ketamine derivatives’ neuroprotective properties. A prior meta-analysis (42) of 17 studies similarly reported a reduced POD risk following esketamine administration. Beyond updating the evidence by incorporating the latest available studies up to 2025 and validating the stability of effects across expanded subgroups, our study further strengthened the credibility of current conclusions through comprehensive sensitivity and stratified subgroup analyses to identify potential sources of heterogeneity. Additionally, we performed the GRADE certainty assessment to systematically evaluate and grade the overall quality of the synthesized evidence. For instance, Xiong et al. [15]demonstrated that a single preoperative dose of esketamine administered to patients undergoing heart valve replacement reduced the duration of delirium and the need for pharmacologic intervention for delirium symptoms. Interestingly, a study (17) involving hip surgery patients who received a higher perioperative dose of esketamine showed no significant differences in the time to delirium onset, duration of delirium, or delirium subtypes between the esketamine group and the control group; instead, it was associated with an increased incidence of postoperative dizziness. Is the occurrence of different effects attributed to dosage variations? This remains undetermined based on current clinical trials. However, these trials reveal that researchers generally tend to use low doses or subanesthetic doses in their studies. We believe this issue still requires large-scale, multicenter randomized controlled trials in real-world settings to provide answers and guide future clinical practice.

We also analyzed other indicators of interest in these articles, such as dNCR, MMSE scores, and QoR-15 scores (Figures 6, 7). Notably, these findings are consistent with those of recently published meta-analyses focusing on dNCR (43) and quality of recovery after surgery (44). Sun et al. (43) found that perioperative esketamine was associated with a reduced risk of dNCR (RR: 0.41, 95% CI: 0.21 to 0.78, p < 0.001) but no statistically significant difference in the risk of PND at 3 months post-surgery. Similarly, perioperative use of ketamine/esketamine is associated with improved early subjective QoR (44, 45). Although both improvements in short-term cognitive function and quality of recovery have been observed, there is a growing focus on patients’ long-term prognosis, with an increasing number of studies incorporating 1-month, 3-month, or even longer follow-up data. Notably, several studies within our inclusion criteria additionally investigated esketamine’s impacts on perioperative sleep (17, 31, 33, 36), anxiety/depression (14–16, 32, 33, 37, 40, 41), and the majority reported positive clinical outcomes. That said, the extensive diversity of assessment instruments for these psychological and sleep-related endpoints, combined with conflicting scoring conventions (i.e., higher scores may denote either improved or impaired status depending on the scale), posed insurmountable barriers to standardized quantitative synthesis. Even so, existing trails (46–48) collectively highlight esketamine’s promising potential for enhancing postoperative sleep quality and mitigating anxiety and symptoms in surgical patients.

We further subdivided the included studies into refined surgical subgroups to explore potential effect modification (Figure 5; Supplementary Figure 9). Subgroup analyses revealed that the magnitude of the protective effect of esketamine against postoperative delirium varied markedly across these finely categorized surgical types, indicating inconsistent treatment effects among subgroups. Specifically, significant reductions in postoperative delirium risk were observed in cardiac, orthopedic, and abdominal surgical subgroups. However, the relatively small sample size within each surgical subgroup poses challenges to the robustness of these subgroup findings. Such discrepancies may arise from inherent distinctions across surgical procedures, including divergent inflammatory burden, ICU exposure duration, postoperative pain intensity, and cumulative perioperative opioid consumption (49).

A robust body of evidence has confirmed that perioperative neurocognitive disorder is tightly linked to neuroinflammation and neuronal damage (3, 50). IL-6 emerged as the most commonly utilized inflammatory biomarker in our meta-analysis, with six constituent trials evaluating postoperative circulating IL-6 concentrations (Figure 8). Prior studies have confirmed that a single low dose of esketamine delivered at induction effectively alleviates early postoperative depression and anxiety, with the drug’s anti-inflammatory potential (encompassing neuroinflammation modulation and neurotrophic signaling promotion) proposed as the core mediating pathway for this effect (51). Our meta-analysis further corroborated its modulatory effects on perioperative inflammation: all included trials demonstrated that esketamine treatment led to a statistically significant decrease in postoperative IL-6 levels (Cohen’s d = −1.47, 95% CI: −2.40 to −0.55; p < 0.01). In addition to IL-6, a subset of studies extended assessments to other proinflammatory mediators (CPR (26), TNF-α (35), IL-1β (36), IL-8 (35)) and the anti-inflammatory cytokine IL-10 (30), providing a broader profile of esketamine’s immunomodulatory activity. Nevertheless, the limited specificity of these inflammatory markers and their strong susceptibility to perturbation by concurrent inflammatory diseases and brain dysfunction preclude their utility as standalone surrogate indicators for POD/PND. Neuronal injury is hypothesized to represent a “common pathway” underlying the multifactorial pathogenesis of POD (52), while serum S100β and NSE are widely used biomarkers for reflecting perioperative neuronal damage. In the present meta-analysis, esketamine administration was associated with a statistically significant reduction in postoperative day 1 serum S100β levels (Cohen’s d = −0.85, 95% confidence interval [CI]: −1.49 to −0.20; p = 0.01); by contrast, no significant effect on perioperative NSE concentrations was observed (Cohen’s d = −0.83, 95% CI: −1.72 to 0.07; p = 0.07).

A particularly striking and unanticipated observation from this meta-analysis was that esketamine significantly lowered the incidence of postoperative agitation (RR = 0.63, 95% CI: 0.44 to 0.89, p = 0.01). Numerous clinical RCTs have corroborated that perioperative esketamine use confers a protective effect against the development of emergence agitation in the pediatric postoperative population (53–55).

No statistically significant disparities were detected across all secondary adverse endpoints, with postoperative nausea and vomiting being the most commonly measured adverse event. Notably, several trials lacked clear standardized definitions, uniform monitoring windows, and complete tabulation of event counts for individual adverse reactions, which restricts definitive conclusions regarding comparative safety profiles between groups.

This meta-analysis has several limitations that should be acknowledged. First, although the present study included 22 latest available trials with a larger overall sample size than previous relevant meta-analyses, all eligible studies were exclusively conducted in Chinese populations. Variations in patient baseline characteristics, surgical protocols, and baseline perioperative delirium risk across different regions may affect the efficacy of esketamine, thereby limiting the generalizability of our findings to global clinical settings. Second, substantial heterogeneity was observed across the included studies, which could be partially attributed to variable surgical types, esketamine administration regimens, patient age distributions, and inconsistent assessment criteria for postoperative delirium and adverse events. Although subgroup analyses revealed that follow-up duration and surgical type were major sources of heterogeneity, these factors could not fully account for the between-study variability. Third, due to the considerable diversity in esketamine dosage and administration modes across trials, we were unable to perform a dose–response meta-analysis to clarify the quantitative association between esketamine exposure and clinical outcomes. Fourth, regional single-population restriction, inherent clinical heterogeneity, and the limited number of studies for several secondary outcomes compromised the overall certainty of the synthesized evidence. Correspondingly, the GRADE assessment rated most outcome indicators as low or very low certainty evidence, which weakens the reliability and extrapolation of our conclusions.

The following perspectives are proposed for future research investigating the effects of esketamine on POD. First, to more accurately and comprehensively characterize patients’ perioperative neurocognitive status, standardized and unified assessment criteria for the classification, severity, and duration of postoperative delirium should be established. Clinically, POD assessments should be performed for a minimum of 3 postoperative days, ideally for 7 consecutive days, with no fewer than two independent evaluations conducted daily. Second, given the substantial heterogeneity in current esketamine administration regimens, dedicated high-quality studies are urgently required to determine the optimal dosage and administration timing tailored to distinct surgical populations and procedures. In particular, dose–response relationship analyses are essential to identify the clinically optimal dose and treatment duration for standardized clinical application. Third, existing evidence regarding the long-term neurocognitive outcomes following esketamine administration remains insufficient. Future clinical trials should prioritize long-term follow-up observations to clarify the sustained impact of esketamine on postoperative cognitive function. Finally, well-designed international multicenter randomized controlled trials are urgently needed to address the geographic homogeneity of current evidence and further validate the efficacy of esketamine against POD across diverse populations, thereby establishing standardized guidelines for its generalized clinical application in postoperative delirium management.

Conclusion

In conclusion, this meta-analysis suggests that perioperative esketamine administration is associated with reduced incidence of POD and dNCR, improved short-term postoperative recovery quality, alleviated neuroinflammation and neuronal injury, and decreased postoperative agitation, with no obvious elevation in overall adverse event risk. These beneficial trends observed across different patient subgroups and surgical categories indicate the promising potential of esketamine as a multifunctional neuroprotective agent for perioperative application. Nevertheless, current evidence is limited by clinical heterogeneity, geographical restriction, and insufficient standardized assessment protocols. Future high-quality studies with unified dosing regimens, rigorous and comprehensive neurocognitive evaluation systems, and prolonged follow-up periods are warranted to further validate and refine the clinical value of esketamine in optimizing perioperative patient care.

Acknowledgments

We acknowledge all the contributors of the primary studies included in this meta-analysis for their pioneering work on esketamine and postoperative delirium. We also thank our colleagues in the Department of Anesthesiology for their helpful discussions during the manuscript preparation.

Glossary

Glossary

POD

Postoperative delirium

RCTs

Randomized controlled trials

CI

Confidence intervals

RR

Risk ratios

MD

Mean differences

Cohen’s d

Standardized mean differences

dNCR

Delayed neurocognitive recovery

POCD

Postoperative cognitive dysfunction

PND

Postoperative neurocognitive disorder

NMDA

N-methyl-D-aspartate

QoR

Quality of Recovery

NSE

Neuron-specific enolase

S100β

Central nervous system specific protein β

ASA

American Society of Anesthesiologists

PCIA

Patient-controlled intravenous analgesia

TKA

Total knee arthroplasty

THA

Total hip arthroplasty

OPCABG

Off-pump coronary artery bypass grafting

ICDSC

Intensive Care Delirium Screening Checklist

CAM-CR

Chinese Revised Delirium Diagnostic Scale

3D-CAM

3-min Diagnostic Confusion Assessment Method

CAM

Confusion Assessment Method

CAM-ICU

Confusion Assessment Method for the Intensive Care Unit

MMSE

Mini-Mental State Examination

GRADE

Grading of Recommendations Assessment, Development and Evaluation

REML

Restricted Maximum Likelihood

Funding Statement

The author(s) declared that financial support was received for this work and/or its publication. This study was supported by Medical Science Research Project of Hebei (Grant number 20240950).

Footnotes

Edited by: Takahiko Nagamine, Sunlight Brain Research Center, Japan

Reviewed by: Hao Yao, The Second Affiliated Hospital of Nanjing Medical University, China

Soudy S. Hammad, Aswan University, Egypt

Data availability statement

The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.

Author contributions

XL: Writing – original draft, Data curation, Conceptualization. CL: Data curation, Conceptualization, Formal analysis, Writing – original draft. YLi: Methodology, Formal analysis, Writing – original draft. ZY: Methodology, Writing – original draft, Visualization. JZ: Formal analysis, Methodology, Writing – original draft. JY: Methodology, Writing – original draft, Visualization. WH: Visualization, Software, Writing – original draft. YLiu: Project administration, Supervision, Writing – review & editing. JL: Conceptualization, Supervision, Project administration, Writing – review & editing, Funding acquisition, Methodology, Writing – original draft.

Conflict of interest

The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declared that Generative AI was not used in the creation of this manuscript.

Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fneur.2026.1881935/full#supplementary-material

SUPPLEMENTARY FIGURE 1

Forest plot of the incidence of POD between esketamine and control group (REML random-effects model).

Image_1.TIF (980.1KB, TIF)
SUPPLEMENTARY FIGURE 2

Forest plot of the incidence of POD between esketamine and control group (Sidik-Jonkman random-effects model).

Image_2.TIF (982KB, TIF)
SUPPLEMENTARY FIGURE 3

Forest plot of the incidence of POD following removal of double-zero event trials.

Image_3.TIF (926.5KB, TIF)
SUPPLEMENTARY FIGURE 4

Forest plot of the incidence of POD following removal of combination-treatment trials.

Image_4.TIF (939.5KB, TIF)
SUPPLEMENTARY FIGURE 5

Subgroup analysis by assessment duration.

Image_5.TIF (715.5KB, TIF)
SUPPLEMENTARY FIGURE 6

Subgroup analysis by age.

Image_6.TIF (463.6KB, TIF)
SUPPLEMENTARY FIGURE 7

Subgroup analysis by esketamine administration regimen.

Image_7.TIF (465.7KB, TIF)
SUPPLEMENTARY FIGURE 8

Subgroup analysis by endpoint priority.

Image_8.TIF (462.9KB, TIF)
SUPPLEMENTARY FIGURE 9

Subgroup analysis by surgical type.

Image_9.TIF (1.3MB, TIF)
SUPPLEMENTARY FIGURE 10

Funnel plot.

Image_10.TIF (121.2KB, TIF)
SUPPLEMENTARY FIGURE 11

Trim-and-fill funnel plot.

Image_11.TIF (703.8KB, TIF)
SUPPLEMENTARY FIGURE 12

Sensitivity analysis.

Image_12.TIF (170.4KB, TIF)

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

SUPPLEMENTARY FIGURE 1

Forest plot of the incidence of POD between esketamine and control group (REML random-effects model).

Image_1.TIF (980.1KB, TIF)
SUPPLEMENTARY FIGURE 2

Forest plot of the incidence of POD between esketamine and control group (Sidik-Jonkman random-effects model).

Image_2.TIF (982KB, TIF)
SUPPLEMENTARY FIGURE 3

Forest plot of the incidence of POD following removal of double-zero event trials.

Image_3.TIF (926.5KB, TIF)
SUPPLEMENTARY FIGURE 4

Forest plot of the incidence of POD following removal of combination-treatment trials.

Image_4.TIF (939.5KB, TIF)
SUPPLEMENTARY FIGURE 5

Subgroup analysis by assessment duration.

Image_5.TIF (715.5KB, TIF)
SUPPLEMENTARY FIGURE 6

Subgroup analysis by age.

Image_6.TIF (463.6KB, TIF)
SUPPLEMENTARY FIGURE 7

Subgroup analysis by esketamine administration regimen.

Image_7.TIF (465.7KB, TIF)
SUPPLEMENTARY FIGURE 8

Subgroup analysis by endpoint priority.

Image_8.TIF (462.9KB, TIF)
SUPPLEMENTARY FIGURE 9

Subgroup analysis by surgical type.

Image_9.TIF (1.3MB, TIF)
SUPPLEMENTARY FIGURE 10

Funnel plot.

Image_10.TIF (121.2KB, TIF)
SUPPLEMENTARY FIGURE 11

Trim-and-fill funnel plot.

Image_11.TIF (703.8KB, TIF)
SUPPLEMENTARY FIGURE 12

Sensitivity analysis.

Image_12.TIF (170.4KB, TIF)

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.


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