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. 2026 Apr 13;24:234. doi: 10.1186/s12916-026-04847-3

Reply to: Intraoperative use of sodium oxybate to prevent post-operative delirium in older patients undergoing major orthopedic surgery

Meiying Cui 1,2,#, Hang Xue 1,#, Ping Zhao 1,✉
PMCID: PMC13077869  PMID: 41975428

Abstract

Background

In our previously published article, we investigated the preventive efficacy of sodium oxybate against post-operative delirium (POD) in elderly patients undergoing orthopedic surgery and found that intraoperative sodium oxybate demonstrates possible time-specific efficacy, significantly reducing POD incidence exclusively in older patients undergoing morning orthopedic surgery.

Main body

In a Matters Arising correspondence, the authors raised several questions and suggestions regarding the methodology and interpretation of our findings. These concerns encompassed the control of perioperative factors, the definition and assessment of POD, as well as considerations related to post-operative pain management which may influence the effect of sodium oxybate on delirium prevention. We have provided point-by-point responses to each of these concerns and discussed directions for future research that may help address the limitations identified.

Conclusions

In the Matters Arising, the authors put forward a number of constructive comments, to which we have responded accordingly. These insights provide valuable guidance for the design and conduct of future research in this area.

Keywords: Major orthopedic surgery, Older patients, Post-operative delirium, Sodium oxybate

Main text

Background

In our previously published article [1], we investigated the preventive efficacy of sodium oxybate against post-operative delirium (POD) in elderly patients undergoing orthopedic surgery, and found that intraoperative sodium oxybate demonstrates possible time-specific efficacy, significantly reducing POD incidence exclusively in older patients undergoing morning orthopedic surgery.

In a Matters Arising correspondence, the authors raised several questions and suggestions regarding the methodology and interpretation of our findings. We have carefully reviewed the Matters Arising correspondence and sincerely appreciate the authors’ insightful questions and constructive suggestions. We will address the concerns raised herein.

Control of perioperative risk factors

Regarding the lack of adjustment for preoperative risk factors, we contend that the rigorous randomization employed in our study reduces the potential for significant bias in the interpretation of results attributable to preoperative variables. Nevertheless, we acknowledge that adjustment for postoperative risk factors, such as pain and sleep disturbances, may yield a more precise interpretation of our findings. Preoperative pain, functional status, and sleep disturbances are indeed well-established risk factors for POD, and we will consider incorporating these variables in future studies to optimize our study design.

Outcome measures

With respect to outcome measures, while the primary objective of the present study was to investigate the effect of sodium oxybate on POD, the authors’ suggestions remain highly valuable. In future multicenter trials, we concur that a more comprehensive assessment framework should be adopted, encompassing post-operative recovery and complications.

The primary outcome of our study was defined as POD with onset from post-operative day 1. This decision was based on the consideration that delirium occurring in the post-anesthesia care unit (PACU) may be confounded by the residual effects of anesthetic agents. Consequently, we distinguished between POD and PACU delirium (PACU-D) as separate entities in our analysis. This approach is consistent with the well-established Electroencephalography Guidance of Anesthesia to Alleviate Geriatric Syndromes (ENGAGES) study [2, 3], which similarly defined POD as CAM-positive events occurring from post-operative day 1 onward, while delirium occurring in the PACU on the day of surgery was designated as an exploratory secondary outcome. The present study specifically addresses POD symptoms manifesting from post-operative day 1, while findings regarding PACU-D will be presented in a separate report that has not yet been published. Furthermore, regarding the assessment of POD, our study employed twice-daily Confusion Assessment Method (CAM) evaluations in conjunction with medical chart review. It is important to note that our CAM assessments commenced on the day of surgery, not from post-operative day 1; however, the primary outcome was defined as CAM-positive events occurring during post-operative days 1–7. Therefore, we do not believe that an underestimation of POD incidence occurred in our study. In future research, we plan to report POD and PACU-D findings within the same manuscript to minimize potential study design bias.

Subgroup analysis and multiple-adjustment of confounding factors

Additionally, the analysis of the primary subgroups (morning and afternoon cohorts) was likely less affected by confounding factors, as we implemented rigorous stratified randomization to ensure strict randomization within each primary subgroup, with well-balanced baseline characteristics. The baseline data for these subgroups are presented in Table 1. With respect to the secondary subgroup analysis (POD versus non-POD groups), given its exploratory nature and the constraints imposed by small sample size, adjustment for confounding factors was not performed. Table 2 presents the distribution of baseline characteristics in the POD population. We acknowledge this limitation, which will be addressed in future large-scale multicenter studies.

Table 1.

Baseline demographic, clinical, and psychometric characteristics—morning and afternoon subgroup

SO
(N = 82)
Con
(N = 81)
P value
Morning subgroup
Age, median (IQR), year 69 (65–71) 70 (66–73) 0.061
BMI, median (IQR) 24.8 (22.2–26.3) 24.4 (22.2–26.9) 0.670
Gender, male, No. (%) 33 (40.2%) 38 (46.9%) 0.391
MMSE, median (IQR) 26 (24–28) 26 (25–28) 0.652
HADS-A, median (IQR) 4 (2–6) 4 (2–7) 0.784
HADS-D, median (IQR) 3 (1–7) 3 (1–6) 0.504
AIS, median (IQR) 4 (0–8) 5 (1–9) 0.293
Surgery type 0.944
 Spine surgery, No. (%) 0.838
  Open spine surgery 37 (45.1%) 35 (43.2%)
  Minimally invasive endoscopic surgery 17 (20.7%) 19 (23.5%)
 Joint replacement, No. (%) 0.755
  Hip replacement 10 (12.2%) 8 (9.9%)
  Knee replacement 11 (13.4%) 13 (16.0%)
 Others, No. (%) 7 (8.5%) 6 (7.4%) 1.000
Co-morbidities
 CVS disease, No. (%) 43 (52.4%) 37 (45.7%) 0.388
 Respiratory system disease, No. (%) 3 (3.7%) 1 (1.2%) 0.620
 CNS disease, No. (%) 5 (6.1%) 5 (6.2%) 1.000
 Diabetes, No. (%) 9 (11.0%) 13 (16.0%) 0.343
Surgery duration, median (IQR), minute 109 (90–133) 125 (101–144) 0.146
PCIA use, No. (%) 54 (65.9%) 52 (64.2%) 0.825
Afternoon subgroup
Age, median (IQR), year 67 (65–70) 67 (65–70) 0.869
BMI, median (IQR) 24.7 (22.9–27.0) 24.7 (22.4–27.2) 0.572
Gender, male, No. (%) 34 (41.0%) 31 (37.8%) 0.678
MMSE, median (IQR) 25 (24–27) 26 (25–28) 0.066
HADS-A, median (IQR) 5 (0–7) 5 (2–8) 0.362
HADS-D, median (IQR) 4 (1–7) 3 (0–6) 0.258
AIS, median (IQR) 4 (1–8) 3 (1–8) 0.883
Surgery type 0.701
 Spine surgery, No. (%) 0.409
  Open spine surgery 33 (39.8%) 38 (46.3%)
  Minimally invasive endoscopic surgery 20 (24.1%) 15 (18.3%)
 Joint replacement, No. (%) 0.767
  Hip replacement 13 (15.7%) 10 (12.2%)
  Knee replacement 12 (14.5%) 11 (13.4%)
 Others, No. (%) 5 (6.0%) 8 (9.8%) 0.374
Co-morbidities
 CVS disease, No. (%) 44 (53.0%) 43 (52.4%) 0.941
 Respiratory system disease, No. (%) 4 (4.8%) 4 (4.9%) 1.000
 CNS disease, No. (%) 6 (7.2%) 9 (11.0%) 0.403
 Diabetes, No. (%) 12 (14.5%) 12 (14.6%) 0.974
Surgery duration, median (IQR), minute 111 (90–145) 101 (86–132) 0.554
PCIA use, No. (%) 50 (60.2%) 48 (58.5%) 0.824

BMI body mass index, MMSE Mini-Mental State Examination, HADS-A Hospital Anxiety and Depression Scale—Anxiety subscale, HADS-D Hospital Anxiety and Depression Scale—Depression subscale, AIS Athens Insomnia Scale, NRS numerical rating scale, CVD cardiovascular disease, CNS central nervous system

*P < 0.05

Table 2.

Baseline demographic, clinical, and psychometric characteristics—POD subgroup

SO
(N = 17)
Con
(N = 22)
P value
Age, median (IQR), year 68 (66–71) 71 (67–75) 0.200
BMI, median (IQR) 23.9 (22.5–25.9) 24.3 (20.0–28.6) 0.812
Gender, male, No. (%) 7 (41.2%) 10 (45.5%) 0.789
MMSE, median (IQR) 24 (23–26) 26 (23–27) 0.146
HADS-A, median (IQR) 6 (2–12) 5 (4–8) 0.726
HADS-D, median (IQR) 6 (2–10) 5 (3–7) 0.305
AIS, median (IQR) 5 (1–8) 9 (4–16) 0.052
Surgery type 0.264
 Spine surgery, No. (%) 0.080
  Open spine surgery 7 (41.2%) 4 (18.2%)
  Minimally invasive endoscopic surgery 2 (11.8%) 8 (36.4%)
 Joint replacement, No. (%) 0.608
  Hip replacement 2 (11.8%) 5 (22.7%)
  Knee replacement 2 (11.8%) 2 (9.1%)
 Others, No. (%) 4 (23.5%) 3 (13.6%) 0.677
Co-morbidities
 CVS disease, No. (%) 3 (17.6%) 9 (40.9%) 0.119
 Respiratory system disease, No. (%) 4 (23.5%) 0 (0.0%) 0.029*
 CNS disease, No. (%) 2 (11.8%) 3 (13.6%) 1.000
 Diabetes, No. (%) 6 (35.3%) 4 (18.2%) 0.282
Surgery duration, median (IQR), minute 99 (86–120) 119 (102–148) 0.236
PCIA use, No. (%) 12 (70.6%) 15 (68.2%) 0.872

BMI body mass index, MMSE Mini-Mental State Examination, HADS-A Hospital Anxiety and Depression Scale—Anxiety subscale, HADS-D Hospital Anxiety and Depression Scale—Depression subscale, AIS Athens Insomnia Scale, NRS numerical rating scale, CVD cardiovascular disease, CNS central nervous system

*P < 0.05

Concerns about pain management strategies

Post-operative analgesia was managed using patient-controlled intravenous analgesia (PCIA), administered using sufentanil 2 μg kg−1 in 100 mL of 0.9% saline (background infusion 2 mL h−1, bolus 0.5 mL, lockout time 15 min). Loxoprofen sodium (60 mg) was used as rescue analgesia for pain scores ≥ 4. The PCIA utilization rate in our study was approximately 60%, as PCIA was recommended by physicians but ultimately determined by patient choice, rather than being mandatorily applied to all patients, thus not achieving a 100% PCIA rate. This analgesic approach provided adequate pain control, consistent with established PCIA strategies in major orthopedic surgery patients [4–9], which employ sufentanil 1–2 μg kg−1 with or without adjuvant medications. Regarding the implementation of standardized post-operative pain management and a rehabilitation strategy, the authors have provided constructive recommendations. We intend to incorporate and implement these measures in future large-scale multicenter studies to enhance the generalizability of our findings.

Conclusions

We sincerely appreciate the authors’ valuable and pertinent suggestions. In future studies, we will address the limitations of the present investigation by comprehensively accounting for factors influencing POD and incorporating comprehensive post-operative outcome measures. We anticipate that these efforts will provide more robust scientific evidence regarding the application of sodium oxybate in the prevention of POD in elderly surgical patients.

Acknowledgements

None.

Abbreviations

POD

Postoperative delirium

SO

Sodium oxybate

CAM

Confusion Assessment Method

MMSE

Mini-Mental State Examination

HADS-A

Hospital Anxiety and Depression Scale-Anxiety

HADS-D

Hospital Anxiety and Depression Scale-Depression

AIS

Athens Insomnia Scale

PCIA

Patient-controlled intravenous analgesia

NRS

Numerical rating scale

PACU

Post-anesthesia care unit

IQR

Interquartile range

BMI

Body mass index

Authors’ contributions

Manuscript drafting: MC, HX. Critical revision of manuscript: MC, HX, PZ. MC and HX contributed equally to this work as co-first authors. PZ was responsible for the final manuscript approval. All authors reviewed and approved the final manuscript version and agree to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

Funding

This work was supported by the Outstanding Scientific Fund of Shengjing Hospital No.202208 to Ping Zhao.

Data availability

Yes. Data types: Deidentified participant data. Additional Information: On request. How to access data: On request: zhaoping_sj@163.com. When available: With publication. Who can access the data: researchers whose proposed use of the data has been approved.

Declarations

Ethics approval and consent to participate

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. The study was approved by the Medical Ethics Committees of Shengjing Hospital (No. 2023PS1183K).

Written informed consent was obtained from all participants before enrollment.

Consent for publication

Not applicable. This study reports aggregate data only. No individual participant data, images, videos, or other materials requiring consent for publication are included.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Meiying Cui and Hang Xue contributed equally to this work.

References

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Associated Data

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

Data Availability Statement

Yes. Data types: Deidentified participant data. Additional Information: On request. How to access data: On request: zhaoping_sj@163.com. When available: With publication. Who can access the data: researchers whose proposed use of the data has been approved.


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