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Record W4414180648 · doi:10.1192/j.eurpsy.2025.759

Immune/inflammatory parameters as potential predictors of high-lethality suicidal behavior in individuals with/without psychiatric conditions: a retrospective single-center study

2025· article· en· W4414180648 on OpenAlexaff
L. M. Martorell Mensua, W. G. Vidal Cachay, M. Quesada Franco, Adam Gonzalez, Adriano Alberti, Gara Arteaga-Henríquez, D. Braquehais Conesa

Bibliographic record

VenueEuropean Psychiatry · 2025
Typearticle
Languageen
FieldNeuroscience
TopicTryptophan and brain disorders
Canadian institutionsCentre for Addiction and Mental Health
Fundersnot available
KeywordsSuicide attemptOdds ratioRetrospective cohort studySuicide preventionPoison controlSuicide methodsInjury preventionObservational studyEmergency department

Abstract

fetched live from OpenAlex

Introduction Accumulating research has suggested a possible role of the immune/inflammatory response system in the pathophysiology of suicidal behavior, more specifically of specifically high-lethality suicide attempts (SA). To count with reliable and affordable biological markers of high-lethality SA to complement clinical assessment for early detection of individuals at a high risk of committing suicide is thus mandatory. Objectives To assess if immune/inflammatory parameters may differ between suicide attempters with and without SA, taking into account the type of suicide method. The odds of repeating a high-lethality SA in the future will also be explored. Methods In this retrospective observational single center study, medical records of suicide attempters admitted to the Emergency Department at Vall d’Hebron University Hospital (Barcelona, Spain) between 2017-2021, will be reviewed. The following immune/inflammatory parameters (i.e., total and differential white blood cell count, platelet counts, C-reactive protein levels) will be extracted for comparisons between subjects without a history of previous suicide attempt (SA), and those with a history of previous SA. Additionally, the following ratios/indexes will be calculated as a proxy of subject’s inflammatory status: neutrophil-to-lymphocyte ratio (NLR), basophil-to-lymphocyte-ratio (BLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), systemic inflammatory response index (SIRI). Analyses will be controlled for clinical and sociodemographic variables, such as age, gender and/or primary psychiatric diagnosis. Analyses will be also stratified according to the attempt method. Moreover, the capability of the previously mentioned parameters to predict a high lethality SA or to commit suicide in the coming two years will also be evaluated. Results Results from the interim analysis will be presented at the congress. Conclusions Peripheral immune/inflammatory parameters may allow us to discriminate subjects at risk of committing suicide. In case of positive findings, immune/inflammatory parameters could be incorporated in the comprehensive evaluation of high-lethality SA in individuals admitted to the emergency setting, contributing to improve early detection of suicide risk. Disclosure of Interest L. Martorell Mensua Shareolder of: First authorship, W. Vidal Cachay Shareolder of: First authorship, M. Quesada Franco: None Declared, A. Beneria Gonzalez: None Declared, J. Ramos Quiroga: None Declared, A. Motger Albertí: None Declared, G. Arteaga-Henriquez Shareolder of: Last authorship, D. Braquehais Conesa Shareolder of: Last authorship.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.011
GPT teacher head0.259
Teacher spread0.248 · 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.

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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