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Record W4409448989 · doi:10.1097/io9.0000000000000165

Unlocking cognitive clarity: the neuroprotective potential of low-dose S-ketamine in elderly thoracic surgery patients

2024· article· en· W4409448989 on OpenAlexaboutno aff
Amogh Verma, Sandeep Kumar Verma, Manu Pant, Mahalaqua Nazli Khatib, Mahendra Pratap Singh, Quazi Syed Zahiruddin, Sarvesh Rustagi

Bibliographic record

VenueInternational Journal of Surgery Open · 2024
Typearticle
Languageen
FieldNeuroscience
TopicAnesthesia and Neurotoxicity Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineNeuroprotectionKetamineCognitionCLARITYSurgeryAnesthesiaInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

Postoperative delirium (POD) and postoperative cognitive dysfunction (POCD) represent significant challenges in the management of elderly patients undergoing thoracic surgery[1]. The acute and sporadic disruptions in attention, awareness, and cognition that characterize these conditions can have a detrimental effect on a patient’s ability to recover, lengthen hospital stays, and raise the expense of healthcare[2]. Traditional approaches to mitigating these complications have had mixed results, However, the powerful N-methyl-d-aspartate (NMDA) receptor antagonist S-ketamine, when taken at low doses, may be a viable new treatment option, according to ongoing studies. Compared to racemic ketamine, S-ketamine, the S(+) enantiomer of ketamine, has a stronger anesthetic potency and a higher affinity for NMDA receptors[3]. This unique pharmacological profile suggests that S-ketamine could provide substantial neuroprotection, potentially reducing the incidence and severity of POD and POCD as seen in mice models[4]. Recent studies have highlighted S-ketamine’s role in modulating neuroinflammation, a critical factor in the pathophysiology of these postoperative neurocognitive disorders[5,6]. Following surgery, S-ketamine preserves neuronal integrity and function by preventing the activation of inflammatory cytokines and lowering neuronal apoptosis[7]. In a recent retrospective cohort study by Wang et al. involving patients aged 65 years and older who underwent elective thoracic surgery, it was found that those who received low-dose S-ketamine intraoperatively had a significantly lower incidence of POD at seven days postsurgery than those who did not receive S-ketamine (12.0% vs. 26.7%, P < 0.001)[8]. Moreover, these patients exhibited reduced POCD at one month (18.7% vs. 36.0%, P < 0.05) and 6 months (10.7% vs. 21.3%, P < 0.05) postoperatively. The S-ketamine group also had significantly higher median Montreal Cognitive Assessment scores at one month (P = 0.021) and 6 months (P = 0.007) than the control group, indicating better cognitive function recovery. The mechanism by which S-ketamine exerts its protective effects involves the modulation of glutamatergic neurotransmission[4,5]. By preferentially blocking N-methyl-D-aspartate (NMDA) receptors on inhibitory gamma-aminobutyric acid (GABAergic) interneurons, S-ketamine reduces the inhibitory control over excitatory neurons, thus enhancing neuroplasticity and synaptogenesis[9]. This process is crucial for cognitive recovery postsurgery. S-ketamine may also be useful in reducing the neuroinflammatory reaction that is frequently observed following major surgeries, as evidenced by its capacity to lower levels of pro-inflammatory cytokines like Interleutin (IL-6), Tumor necrosis factor (TNF-α), and IL-1β[10]. Despite these promising findings, the clinical application of S-ketamine remains challenging. Concerns regarding its dissociative side effects and potential for abuse have limited its widespread adoption. Moreover, evidence from randomized controlled trials (RCTs) is mixed. Ketamine does not generally significantly lower the incidence of POD, according to several studies, and may even increase the likelihood of negative side effects such as hallucinations and nightmares[7,11,12]. However, these studies often did not differentiate between racemic ketamine and S-ketamine, which may have differing efficacy and safety profiles. The variability in outcomes across studies may also be attributed to differences in dosing regimens, patient populations, and surgical procedures. For instance, a study focusing on cardiac surgery patients found no significant benefit of low-dose ketamine in preventing POD, while another study involving noncardiac thoracic surgery patients highlighted its efficacy[13,14]. This underscores the need for further research to refine dosing strategies and identify patient populations that would benefit most from S-ketamine administration. Given the aging global population and increasing number of elderly patients undergoing complex surgeries, the potential of S-ketamine to improve postoperative outcomes is of great clinical significance. Future research should aim to conduct larger multicenter RCTs to confirm these findings and establish standardized protocols for S-ketamine use. Investigations of the long-term effects of S-ketamine on cognitive function and its interactions with other anesthetics and perioperative medicines should be part of these investigations. In conclusion, although the available data indicate that older patients undergoing thoracic surgery may experience a considerable decrease in the frequency of POD and POCD when administered at low doses, caution should be exercised when using this medication. When adding S-ketamine to anesthetic procedures, clinicians should evaluate the advantages against any hazards and consider the unique circumstances of each patient. As research continues to evolve, S-ketamine holds promise as a valuable tool in enhancing postoperative recovery and quality of life for elderly surgical patients.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.547
Threshold uncertainty score0.425

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.093
GPT teacher head0.371
Teacher spread0.278 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2024
Admission routes1
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