Key Points
Question
Does transcranial electrical stimulation (tES), applied to surgical patients in the immediate postoperative period, reduce the incidence of delirium?
Findings
In this randomized clinical trial that studied 225 patients 65 years and older, tES did not reduce the incidence of postoperative delirium, compared with sham. Preregistered subgroup analyses revealed that α-transcranial alternating current stimulation over the posterior parietal cortex may reduce postoperative delirium incidence for patients with longer surgery.
Meaning
These findings suggest no uniform effect of postoperative tES to prevent delirium, but rather a variable benefit dependent on the core risk factor of surgical duration.
Abstract
Importance
Postoperative delirium (POD) occurs as a significant complication after elective surgery.
Objective
To investigate the modulation of delirium incidence by transcranial electric stimulation (tES).
Design, Setting, and Participants
A double-blind, sham-controlled randomized clinical trial (Modulating Delirium Through Stimulation [MODEST]) was conducted at University Medicine Greifswald, Germany, from February 8, 2024, to January 15, 2025. Patients were aged 65 years or older who were scheduled to undergo elective surgery. Exclusion criteria were any history of neurological or psychiatric disease, or intake of central nervous system–active medication. Data were analyzed from June 10, 2025, to June 5, 2026.
Intervention
α-Transcranial alternating current stimulation (tACS) of the salience network, transcranial direct current stimulation (tDCS) of the frontoparietal network (dosing: 20 minutes, 2 mA), or sham, in the postanesthesia care unit (PACU) after major elective surgery.
Main Outcomes and Measures
The primary outcome was POD incidence in the ward during 1 of up to 5 postoperative days for the comparison of tACS vs the sham group. The secondary outcomes included POD in the ward for the comparison of tDCS vs sham group, POD in PACU, POD severity and motor type, and postoperative pain. Prespecified subgroup analyses opted to test the dependence of POD incidence on age, sex, duration, and type of surgery, baseline cognitive function, and preoperative pain levels.
Results
A total of 225 patients (mean [SD] age, 73.0 [6.0] years; 59.6% [134] male) were randomly assigned to tACS (n = 68), tDCS (n = 83), or sham stimulation (n = 74). No substantial between group differences were observed for POD incidence in ward (tACS, 11.5% [6 of 52]; tDCS, 14.3% [9 of 63]; sham, 9.2% [6 of 65]; tACS vs sham: odds ratio [OR], 1.60 [95% CI, 0.47-5.46]; P = .45; tDCS vs sham: OR, 1.51 [95% CI, 0.49-4.68]; P = .47) or in PACU (tACS, 14.6% [7 of 48]; tDCS, 21.4% [12 of 56]; sham, 21.7% [13 of 60]; tACS vs sham: OR, 0.95 [95% CI, 0.38-2.36]; P = .91; tDCS vs sham: OR, 0.91 [95% CI, 0.36-2.30]; P = .83). Further secondary analyses of POD severity and motor type, and modulation of pain levels, did not show any substantial difference between stimulation groups. Prespecified subgroup analyses revealed different modulation of POD incidence in PACU depending on duration of surgery (OR, 0.15 [95% CI, 0.02-0.97]; P = .046), indicating that tACS may reduce POD incidence for patients with longer surgery (absolute risk difference for POD in the tACS compared with the sham group, for a surgical duration of 3 to 5 hours of −26.6% to −46.5%). Ratings of adverse events did not differ between groups (incidence rate ratio, 2.3 [95% CI, 0.8-6.5]), and no serious adverse events were reported.
Conclusions and Relevance
In this randomized clinical trial of tES for POD, there was no evidence for a uniform effect of postoperative tES on the incidence of POD, but it suggested a benefit of parietal α oscillatory enhancement for patients with longer surgery. Future research has to test the specific effect on vulnerable groups, examine the optimal timing for tES application to modulate POD, and investigate the value of personalizing tES parameters.
Trial Registration
German Clinical Trials Register: DRKS00033703
This randomized clinical trial investigates the modulation of delirium incidence by transcranial electric stimulation in patients 65 years and older.
Introduction
The growing number of older patients worldwide requiring surgical interventions poses substantial challenges for perioperative care. Postoperative delirium (POD) affects 15% to 50% of older surgical patients depending on the type of surgery, imposing considerable health care costs through prolonged hospital stays and increased resource use.1,2 Although technical refinements in surgery and anesthesia have enhanced procedural safety, maintaining cognitive health during the perioperative period remains a major concern.3 Perioperative neurocognitive disorders, particularly POD, can diminish surgical benefits by impeding functional recovery.4 Clinically, POD presents with an acute onset of disturbances in attention and consciousness.5 Patients experiencing POD face increased risks for treatment-associated complications, cognitive decline, and long-term care dependency.6 Enabling neurocognitively safe surgery is therefore essential to enhance outcomes for older patients.7
The pathogenesis of delirium involves multiple interconnected mechanisms, including inflammatory processes, neuroendocrine stress activation, converging on impaired neurotransmitter homeostasis, and disrupted network connectivity.8 Emerging evidence characterizes POD as an acute network disorder, with electroencephalographic studies revealing abnormal patterns in α oscillations, impaired functional connectivity, and altered neural network topology.9,10 Beyond acute brain network dysfunction, delirium may induce lasting structural consequences, as indicated by increases in neurofilament light chain levels and microstructural changes.9 Current delirium management relies predominantly on symptom-oriented care, and, although evidence-based nonpharmacological interventions are effective, the burden of POD remains high, and there is little evidence that pharmacological interventions improve outcomes.11,12 Consequently, optimizing preventive strategies addresses a critical unmet need, given the limited evidence for outcome-improving interventions after POD onset.
Transcranial electrical stimulation (tES) represents a noninvasive neuromodulation technique delivering weak electrical currents through scalp electrodes, applying either transcranial alternating current stimulation (tACS) or transcranial direct current stimulation (tDCS) to cortical regions. By modulating activity in critical neural circuits, tES can influence both functional network dynamics and induce microstructural plasticity and has demonstrated therapeutic potential across neurological conditions.13,14,15 Conceptualizing delirium as a potentially reversible acute network disorder provides a mechanistic rationale for network-targeted interventions through tES. To date, 3 previous trials have reported the effect of brain stimulation on targeting neural plasticity in the prefrontal cortex using tDCS16,17 or transcranial magnetic stimulation.18
We conducted a randomized double-blind sham-controlled trial applying tES following elective surgery in older patients. The primary end point assessed whether α-tACS reduces POD incidence on the surgical ward compared with sham stimulation. Secondary analyses examined tDCS effects on ward POD incidence, POD occurrence in the postoperative anesthesia unit (PACU), delirium severity and motor type, and postoperative pain. Prespecified subgroup analyses explored potential effect modifiers including age, sex, surgical duration and type, baseline cognitive status, and preoperative pain levels. Our objective was to evaluate tES efficacy in preventing POD.
Methods
Study Design and Patients
The Modulating Delirium Through Stimulation (MODEST) study was a single-center, double-blind, randomized, sham-controlled trial performed in the departments of Anesthesiology and Neurology at the Greifswald University Hospital, Germany, comparing the effect of tES on the incidence of POD after elective surgery in older adults. The study was approved by the local ethics committee of the University Medicine Greifswald. This trial was designed, conducted, and reported in accordance with the Consolidated Standards of Reporting Trials (CONSORT) 2010 reporting guideline for randomized controlled trials.19 Design, statistical analysis plan, and data collection procedures were prospectively aligned with CONSORT requirements to ensure that all recommended methodologic details and end points were captured during data acquisition and fully incorporated into the analyses. The study was registered at the German Clinical Trials Register, and the full study protocol was published20 (trial protocol in Supplement 1).
Inclusion criteria were age 65 years or older, planned elective surgery including vascular, abdominal, thoracic, urological, gynecological, and spinal procedures planned to last more than 60 minutes, and the ability to provide written informed consent. Patients were excluded in cases of known neurological or psychiatric conditions, including a history of epileptic seizures, contraindications for tES application,21 long-term medication with nonopioid central nervous system active drugs, isolation due to multidrug-resistant germs, and inability to read or speak German. All patients gave written informed consent prior to participation. Figure 1 presents the study design.
Figure 1. Schematic Illustration of the Study Design and Simulation Illustration of Modeling on a Template Brain.

A, Patients were assessed at baseline after informed consent, prior to surgery (T0), followed by their surgery and a postoperative assessment (T1) with subsequent application of brain stimulation (tES). Subsequent postintervention assessment time points were scheduled 30 minutes (T2) and 60 minutes (T3) after surgery. Patients were assessed in the hospital for a maximum of 5 days (T4 to T8). B, Active stimulation was applied either in an oscillatory α frequency over posterior parietal regions or as anodal direct current over left dorsolateral prefrontal cortex, for 20 minutes with a 2-mA zero-to-peak intensity. Computational modeling on a template brain shows the simulated distribution of current created with the software SimNIBS (simnibs.org). BL indicates baseline; magnE, magnitude of electric field; PACU, postanesthesia care unit; tACS, transcranial alternating current stimulation; tDCS, transcranial direct current stimulation.
Randomization and Blinding
Eligible patients were randomly allocated to 1 of 3 groups (eAppendix in Supplement 2). Patients and investigators were blinded to the stimulation condition by using sham stimulation in the control group: current was initially applied for 30 seconds to elicit the typical tingling sensation of active stimulation on the scalp and automatically turned off subsequently. Previous evidence proved the effectiveness and safety of this method.21
Trial Procedures
After randomization, patients underwent a baseline assessment, followed by their elective surgery, after which tES was applied in PACU during rest. Electrical stimulation was applied via a battery-driven stimulator (Neuroelectrics Starstim Home Research Kit) through 2 round saline-soaked sponge electrodes (5-cm diameter), placed in a neoprene cap, and located over P3 and P4 for tACS and F3 (anode) and Fp2 (cathode) for tDCS. For tACS application, the frequency of 9.5 Hz was chosen to target α oscillations.22 Current was delivered for 20 minutes with a 2-mA intensity (zero to peak) with 10 additional seconds of fade-in and fade-out. For sham control, current was delivered for 30 seconds (plus a 10-second ramp-up and ramp-down) with either the tACS (n/2) or tDCS (n/2) set-up. After the intervention, patients were asked whether they had experienced any adverse events, including itching, pain, burning, warmth, metallic taste, fatigue, or any other discomfort.
Details on a device malfunction identified during the conduct of the study, the verification procedure used to identify affected patients, and the corrective measures implemented are provided in the eAppendix in Supplement 2. Preoperative assessments included clinical and demographic data as well as baseline cognitive function using the Montreal Cognitive Assessment (MoCA).23 Assessment of POD was performed using the German version of the 3-minute diagnostic interview Confusion Assessment Method (3D-CAM).24,25 The 3D-CAM-S score assessing delirium severity was calculated from the 3D-CAM assessment.26 The 3D-CAM combines brief cognitive testing and clinical observations to assess 4 delirium features: acute change or fluctuating course, inattention, disorganized thinking, and altered level of consciousness. These features are combined using the CAM algorithm to produce a binary result: delirium present or absent. POD motor type was assessed using the Richmond Agitation-Sedation Scale (RASS).27 Self-reported pain intensity was assessed using the Numeric Rating Scale (NRS).28
General anesthesia was administered according to the hospital’s standard procedures. Induction was performed with propofol and sufentanil, followed by maintenance with either inhaled sevoflurane or continuous intravenous propofol infusion via a syringe infusion pump. Intraoperative analgesia was provided by continuous or bolus administration of opioids in combination with nonopioid analgesics, at the discretion of the attending anesthesiologist. Muscle relaxation was achieved with neuromuscular blocking agents as required and antagonized, when necessary, at the end of surgery. Airway management used either an endotracheal tube or a laryngeal mask. Standard intraoperative monitoring included hemodynamic and ventilatory parameters, end-tidal sevoflurane concentration, and frontal electroencephalography monitoring. Postoperatively, pain was treated according to the World Health Organization analgesic ladder, and excessive shivering and agitation were managed with clonidine.
Outcome Measures
The primary outcome was defined as the incidence of POD (tACS vs sham)—having at least 1 positive 3D-CAM score across all available assessments (up to 10 assessments over up to 5 postoperative in-hospital days, performed twice daily). Secondary outcome measures were incidence of POD as defined by having at least 1 positive 3D-CAM within the 10 visits in the 5 postoperative in-hospital days (tDCS vs sham), the incidence of delirium in the PACU as defined by having at least 1 positive 3D-CAM score in the PACU (after the intervention), maximal POD severity (3D-CAM-S), delirium motor type (RASS), and postoperative pain in the PACU and in the 5 first postoperative days (NRS).
Statistical Analysis
Sample size estimation was conducted based on the study by Tao et al,16 as detailed in the published trial protocol20 and also provided in Supplement 1. Group-specific multiple imputation of missing values was used based on outcome variables, age, sex, and baseline measures of particular outcomes (eAppendix in Supplement 2). Missing data occurred predominantly because study staff were unable to reach patients at scheduled assessment time points (eg, patient temporarily out of the ward for diagnostic procedures or rehabilitation) or because of limited study-personnel availability. A multiple binary logistic regression was used to test differences between treatment (tACS) and control (sham) in the incidence of POD in the ward (primary outcome analysis), with POD incidence in the ward entered as the dependent variable, and group (tACS or sham), stratification variables (age, sex) included as independent variables. Similar multiple binary logistic regression models using multiple imputed data were used to test differences for tDCS or sham in POD incidence in the ward, and differences for tACS or sham and tDCS or sham in POD incidence in the PACU. Analyses of POD severity, motor type, and pain are presented in the eAppendix in Supplement 2. Subgroup analyses were performed by including interaction terms between subgroups and treatment group in the same adjusted logistic regression models that were used for the main outcomes. Odds ratios (ORs), mean differences, and marginal estimates for subgroups and corresponding 95% CIs are reported. For interactions reaching the prespecified significance threshold, absolute risk differences between treatment and sham at specific values of the subgroup variable were additionally derived as marginal estimates from the same model. No adjustment for multiple testing was applied. All statistical tests were 2 sided, and P < .05 was considered statistically significant. Data were analyzed from June 10, 2025, to June 5, 2026.
Results
From February 8, 2024, to January 15, 2025, 892 patients were screened at clinical admission. A total of 225 patients (mean [SD] age, 73.0 [6.0] years; range, 65-90 years; 76 female patients) were randomly assigned to 1 of 3 groups (tACS [n = 68], tDCS [n = 83], or sham stimulation [n = 74]) (Figure 2). Overall, 45 patients dropped out after consent due to postponed or cancelled surgery, withdrawal, postoperative infection, intraoperative ketamine, further surgery, or other reasons such as logistic issues, change of anesthesia type (eg, local instead of general anesthesia), or no extubation immediately after surgery. Therefore, 180 patients (91 female patients [50.6%]) were included in the primary analysis. Baseline and clinical characteristics are summarized in Table 1. Intraoperative and postoperative data are shown in Table 2.
Figure 2. Flow Diagram of Study Population.
tACS indicates α-transcranial alternating current stimulation; tDCS, transcranial direct current stimulation.
aPatients who did not receive proper stimulation due to technical issues with the stimulation device were categorized as a “historical study population” and excluded from the full analysis set (the modified full analysis set appears in Supplement 1).
bDue to postponed or cancelled surgery (n = 3), withdrawal of consent (n = 6), postoperative infection (n = 1), or other reasons (n = 6).
cDue to postponed or cancelled surgery (n = 2), withdrawal of consent (n = 4), intraoperative ketamine (n = 1), further surgery (n = 1), or other reasons (n = 12).
dDue to withdrawal of consent (n = 2) or other reasons (n = 6).
eSix patients at T4, 7 at T5, 8 at T6, and 9 at T7.
fNine patients at T4, 15 at T5, 10 at T6, and 8 at T7.
gNine patients at T4, 10 at T5, 13 at T6, and 12 at T7.
Table 1. Baseline Demographic and Clinical Characteristics.
| Characteristic | Group | Full sample (N = 180) | ||
|---|---|---|---|---|
| tACS (n = 52) | tDCS (n = 63) | Sham (n = 65) | ||
| Age, mean (SD), y | 73.0 (7.0) | 73.0 (5.8) | 73.0 (5.4) | 73.0 (6.0) |
| Sex, No. (%) | ||||
| Female | 23 (44.2) | 26 (41.3) | 27 (41.5) | 76 (42.2) |
| Male | 29 (55.8) | 37 (58.7) | 38 (58.5) | 104 (57.8) |
| BMI, mean (SD) | 28.3 (5.6) | 27.4 (4.8) | 28.8 (5.8) | 28.2 (5.4) |
| Educational level >12 y, No. (%) | 16 (30.80) | 28 (44.4) | 16 (45.7) | 68 (58.1)a |
| ASA classification, No. (%) | ||||
| II | 30 (57.7) | 38 (60.3) | 41 (63.1) | 109 (60.6) |
| III | 21 (40.4) | 25 (39.7) | 20 (30.8) | 66 (36.7) |
| NRS score, median (IQR) | 3 (0-5) | 2 (0-5) | 1 (0-4) | 2 (0-5)b |
| MoCA score, median (IQR) | 27 (24.5-29) | 27 (23.5-28) | 27 (25-29) | 27 (24-28.8)c |
Abbreviations: ASA, American Society of Anesthesiologist physical status classification; BMI, body mass index (calculated as weight in kilograms divided by height in meters squared); NRS, Numerical Rating Scale for pain levels; tACS, transcranial alternating current stimulation; tDCS, transcranial direct current stimulation.
For 117 patients.
For 92 patients.
For 102 patients.
Table 2. Surgical and Anesthetic Characteristics.
| Characteristic | Group | Full sample (N = 180) | ||
|---|---|---|---|---|
| tACS (n = 52) | tDCS (n = 63) | Sham (n = 65) | ||
| Duration of surgery, mean (SD), min | 125 (92) | 133 (95) | 142 (111) | 134 (100) |
| Duration of anesthesia, mean (SD), min | 193.4 (108) | 189.8 (111) | 206.1 (130) | 193.4 (117) |
| Induction dose, mean (SD) | ||||
| Sufentanil, μg | 22.8 (6.4) | 22.6 (6.1) | 22.0 (4.9) | 22.4 (5.7) |
| Propofol, mg | 152.3 (44.3) | 154.8 (47.0) | 143.0 (35.2) | 151.1 (42.8) |
| Type of surgery, No. (%) | ||||
| General surgery | 19 (36.5) | 29 (46.5) | 28 (43.1) | 76 (42.2) |
| Neurosurgery | 17 (32.7) | 18 (28.6) | 16 (24.6) | 51 (28.3) |
| Thoracic surgery | 0 | 0 | 1 (1.5) | 1 (0.6) |
| Urology | 10 (19.2) | 10 (15.9) | 9 (13.8) | 29 (16.1) |
| Gynecology | 6 (11.5) | 5 (7.9) | 10 (15.4) | 21 (11.7) |
| Vascular surgery | 0 | 1 (1.6) | 1 (1.5) | 2 (1.1) |
Abbreviations: tACS, transcranial alternating current stimulation; tDCS, transcranial direct current stimulation.
Primary Outcome Measure
For the primary outcome POD in the ward, the incidence rates were 11.5% in the tACS group (6 of 52), 14.3% in the tDCS group (9 of 63), and 9.2% in the sham group (6 of 65) (Figure 3A). Binary logistic models after multiple imputation of missing values revealed no substantial difference between tACS and sham groups (tACS vs sham: OR, 1.60 [95% CI, 0.47-5.46]; P = .45).
Figure 3. Bar Graphs of Postoperative Delirium (POD) and Line Graph of Duration of Surgery.

Incidence of POD (3D-CAM) in the ward (A) and PACU (B). Stimulation groups did not differ in POD in the ward (primary) or in PACU. C, Marginal effects of the duration-of-surgery × tACS interaction on POD incidence in PACU, derived from a multiple binary logistic regression model adjusted for age and sex (interaction term: odds ratio, 0.15 [95% CI, 0.02-0.97]; P = .046). Estimates are model-derived adjusted values on the probability scale, presented to illustrate the clinical magnitude of the interaction at different surgical durations. Shaded areas indicate 95% CIs. CAM indicates confusion assessment measure; PACU, postanesthesia care unit; POD, postoperative delirium; tACS, transcranial alternating current stimulation; and tDCS, transcranial direct current stimulation.
Secondary Outcome Measures
Binary logistic models showed no substantial difference between tDCS and sham groups for the incidence of POD in the ward (tDCS vs sham: OR, 1.51 [95% CI, 0.49-4.68]; P = .47). For POD in PACU, the incidence rates were 14.6% in the tACS group (7 of 48), 21.4% in the tDCS group (12 of 56), and 21.7% in the sham group (13 of 60) (Figure 3B). Binary logistic models after multiple imputation of missing values revealed no substantial difference between tACS or tDCS and the sham group (tACS vs sham: OR, 0.95 [95% CI, 0.38-2.36]; P = .91; tDCS vs sham: OR, 0.91 [95% CI, 0.36-2.30]; P = .83).
For POD severity, maximum scores in the ward did not differ between groups (mean [SD] score, 1.75 [1.68] for tACS, 1.45 [1.44] for tDCS, and 1.76 [1.83] for sham; regression estimates after multiple imputation of missing values and log-transformed data: tACS vs sham: ratio of geometric means, 1.03 [95% CI, 0.84-1.26]; P = .79; tDCS vs sham: ratio of geometric means, 0.92 [95% CI, 0.77-1.11]; P = .40). Similarly, POD severity in PACU did not differ between stimulation groups (mean [SD], 2.08 [2.01] for tACS, 2.33 [2.38] for tDCS, and 2.44 [2.66] for sham; tACS vs sham: ratio of geometric means, 0.95 [95% CI, 0.72-1.24]; P = .68; tDCS vs sham: ratio of geometric means, 1.01 [95% CI, 0.79-1.27]; P = .96) (eFigure 1A in Supplement 2). Similarly, groups did not differ in POD motor type (eFigure 1B and eTable 1 in Supplement 2) and in pain levels (eFigure 2 and eTable 2 in Supplement 2).
Prespecified Subgroup Analyses
Prespecified exploratory subgroup analyses revealed different modulation of POD incidence in PACU depending on duration of surgery (interaction term: OR, 0.15 [95% CI, 0.02-0.97]; P = .046), indicating that tACS may reduce POD incidence for patients with longer surgery. The significant interaction between tACS and duration of surgery indicated that the potential protective effect of tACS against PACU delirium increased with longer operations. Marginal estimates derived from the same model indicated that the absolute risk difference between tACS and sham was −26.6% (95% CI, −46.8% to −6.4%; P = .04) at a surgical duration of 3 hours, and −46.5% (95% CI, −73.0% to −19.9%; P = .006) at 4 hours, suggesting a potential surgical duration-dependent reduction in delirium risk after the intervention (Figure 3C). All other subgroup analyses did not yield substantial interactions. eTable 3 in Supplement 2 reports POD in ward and eTable 4 in Supplement 2 reports POD in PACU.
Adverse Events
No severe adverse events were reported. Nonsevere adverse events such as itching, transient pain, warmth, metallic taste, and fatigue were reported by 10 patients in the tACS group, 17 patients in the tDCS group, and 8 patients in the sham group. The incidence of adverse events did not differ substantially between groups (incidence rate ratio, 2.3 [95% CI, 0.8-6.5]) (eTable 5 in Supplement 2). After stimulation, patients were asked to guess their group assignment at randomization (eTable 6 in Supplement 2). The James blinding index29 was 0.338 (95% CI, 0.237-0.439) for the active intervention groups and 0.744 (95% CI, 0.659-0.829) for the sham control group, indicating successful blinding (eTable 7 in Supplement 2).
Discussion
This randomized clinical trial investigated whether tES applied postoperatively reduces the incidence of POD in older patients undergoing elective surgery. We found no evidence that a single session of α tACS over parietal cortices prevents POD in the ward. There were no group differences between active (tACS, tDCS) and sham groups in any of the secondary outcomes, either, including POD in ward, POD in PACU, POD severity and motor type, and self-reported pain intensity. Preregistered subgroup analyses provided preliminary evidence that tACS may reduce POD incidence for patients with longer surgery, although this exploratory finding requires confirmation in adequately powered trials.
Conceptualizing POD as a disorder that is substantially driven by acute network dysfunction provides the rationale for the application of network-targeted interventions through tES.18,30 As global α band dysconnectivity with a core hub within the posteromedial cortex has been reported as a key aspect of the network dysfunction,10 we chose to target posterior parietal regions with α tACS. However, the incidence of POD did not significantly differ between the tACS and the sham group, providing no evidence for the efficacy of this intervention. The responsiveness and general susceptibility to brain stimulation may considerably vary depending on the individual’s presence and extent of combinations of predisposing and precipitating factors. The effects of an intervention may specifically vary depending on factors such as head and brain anatomy,31 age, education, and baseline network functioning, among others.32,33 Further, residual effects of general anesthetics and analgesics may alter cortical network states during early postoperative recovery. These drug-induced network changes may reduce interventional effects targeting cortical plasticity and responsiveness to weak external electric fields.
In addition, the duration, extent, and type of surgery may impact the a priori probability to develop POD and thus the effects of an intervention.2 Prespecified subgroup analyses provided preliminary evidence that tACS may reduce POD incidence for patients with longer procedures. As longer surgeries are associated with greater systemic stress and more pronounced network vulnerability, they may offer a larger therapeutic window for tACS. This finding supports the hypothesis that tES effects depend critically on the degree of underlying network disruption and that benefit may be restricted to higher-risk subgroups. Extended surgical procedures may compromise neural network integrity, thereby increasing susceptibility to external oscillatory modulation.34 Here, targeted α-frequency tACS over parietal cortices may restore optimal network connectivity patterns and improve cognitive reserve, thereby potentially preventing POD manifestation.35,36,37 This potential dependency of tACS effects on surgery duration further supports the notion of patient- and situation-specific effects, suggesting that network support mechanisms may be more critical for preventing an episode of POD in certain contexts than in others. These findings highlight the need for further studies with targeted application strategies.
To evaluate the replicability of tDCS effects on POD incidence, we included a tDCS group, implementing anodal stimulation over the dorsolateral prefrontal cortex using parameters similar to those reported by Tao and colleagues.16 In contrast to Tao et al16 who demonstrated a substantial reduction in POD incidence (sham, 20%; anodal, 5%), our study did not replicate this protective effect on POD incidence. While the study by Tao et al16 focused exclusively on patients undergoing major lower limb arthroplasty, our study intentionally included diverse surgical procedures, encompassing general, vascular, thoracic, neurological, urological, and gynecological operations, to enhance external validity and generalizability. The diversity in surgical interventions may introduce varying degrees of tissue trauma and inflammatory responses, which may influence delirium risk through the release of damage-associated molecular patterns.38 More extensive tissue damage results in greater damage-associated molecular pattern release, subsequently triggering more pronounced inflammatory cascades that may contribute to POD development. In a second clinical trial conducted by the same group, Li and colleagues,17 who investigated patients undergoing laparoscopic colorectal cancer surgery exclusively, reported similar baseline delirium rates with approximately 25% incidence in the sham group vs 8% in the active stimulation group. Notably, their protocol incorporated 2 tDCS sessions, which may have enhanced therapeutic efficacy through cumulative neuromodulatory effects.14,39 This dosing difference represents another potential factor contributing to the discrepant outcomes between studies.
Notably, the POD incidence we observed reduced the sensitivity of our study to detect intervention effects on POD incidence significantly; the statistical power to detect a POD reduction of the extent as shown in a previous study16 was at only 46%, and even stronger effect sizes leading to only 0 or 1 POD case in the tACS group would have been detected at a statistical power below 80%. Future research should account for the substantial variability of POD incidence reported in the literature and observed in our trial, in which the sham-group incidence (9.2%) differed by approximately 13 percentage points from the rate anticipated on the basis of an earlier study at the same institution (22.2%2). Sample size calculations for subsequent trials should therefore plan conservatively for this uncertainty, for example, by powering for the lower end of plausible baseline incidence ranges or by using adaptive designs that allow re-estimation after an internal pilot. Future studies should also explore alternative temporal windows of stimulation (preoperative, intraemergence, or during manifest delirium),40 higher-risk surgical populations, and individualized stimulation parameters guided by neuroimaging or electrophysiological biomarkers.33,41
In sum, our results underscore the need for future investigations that stratify patients by relevant clinical variables, including surgical duration, patient age, and surgical type. Additionally, identifying individual biomarkers or clinical estimates of tES responsiveness could facilitate the development of personalized neuromodulation protocols for POD prevention. Such targeted approaches may optimize therapeutic outcomes while minimizing unnecessary interventions in patients unlikely to benefit from tES treatment.
Limitations
Several limitations warrant consideration when interpreting our findings. As a single-center investigation, our results may not fully capture the diversity of clinical practices and patient populations across different health care settings. Our study encompassed a heterogeneous spectrum of surgical interventions, introducing substantial variability in postoperative trauma severity and associated delirium risk. Lower-trauma surgical procedures may result in reduced pain levels and inflammatory responses, potentially creating floor effects that mask therapeutic benefits. However, in contrast to the more restrictive surgical cohorts examined by Tao et al16 and Li et al,17 this heterogeneity may enhance the generalizability and external validity of our findings. The assessment of tES effects relied primarily on clinical and cognitive scoring systems, which may lack sufficient sensitivity to detect subtle neuromodulatory changes. Finally, the observed POD incidence was substantially lower than anticipated for our sample size calculations, resulting in a relatively small cohort of patients with delirium. Although this reduction reflects improvements in perioperative care, this limitation may have reduced our statistical power to detect clinically meaningful differences between treatment groups, particularly in subgroup analyses.
Conclusions
In this randomized clinical trial of tES for POD, postoperative single-session tES, administered as either α-frequency tACS or anodal tDCS, did not reduce the incidence of POD in older adults undergoing elective major surgery. Against an incidence already substantially lower than anticipated in the sham group, no clinically meaningful effect was detectable.
Trial Protocol and Statistical Analysis Plan
eAppendix
eFigure 1. Severity (A) and motor type (B) of POD. POD, post-operative delirium
eFigure 2. Pain levels for pain in rest (A), in motion (B), and in perception (C). tACS, transcranial alternating current stimulation
eTable 1. Number and proportion of missing values for the primary outcome, secondary outcomes, and reported covariates, overall and by randomization arm (full analysis set, N=180).
eTable 2. Group comparisons (results from statistical models) for POD motor type in PACU (note, for POD motor type in ward no statistical comparison was performed as nearly all values were 0).
eTable 3. Group comparisons (results from statistical models) for pain levels at rest in ward and in PACU
eTable 4. Subgroup analyses (model interactions) for POD in the ward
eTable 5. Subgroup analyses (model interactions) for POD in the PACU
eTable 6. Self-reported incidence of adverse events
eTable 7. Number of patients by group and assignment guess
eReferences
Data Sharing Statement
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Trial Protocol and Statistical Analysis Plan
eAppendix
eFigure 1. Severity (A) and motor type (B) of POD. POD, post-operative delirium
eFigure 2. Pain levels for pain in rest (A), in motion (B), and in perception (C). tACS, transcranial alternating current stimulation
eTable 1. Number and proportion of missing values for the primary outcome, secondary outcomes, and reported covariates, overall and by randomization arm (full analysis set, N=180).
eTable 2. Group comparisons (results from statistical models) for POD motor type in PACU (note, for POD motor type in ward no statistical comparison was performed as nearly all values were 0).
eTable 3. Group comparisons (results from statistical models) for pain levels at rest in ward and in PACU
eTable 4. Subgroup analyses (model interactions) for POD in the ward
eTable 5. Subgroup analyses (model interactions) for POD in the PACU
eTable 6. Self-reported incidence of adverse events
eTable 7. Number of patients by group and assignment guess
eReferences
Data Sharing Statement

