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Record W4415217536 · doi:10.1136/heartjnl-2025-ics.23

23 Increased red blood cell distribution width is a marker of adverse cardiorenal outcomes following cardiac surgery

2025· article· en· W4415217536 on OpenAlexaff
Raj Verma, Makoto Hibino, N. Dhingra, Sandeep Patel, Chitra Mehta, Nadine Shehata, T. Yau, C. David Mazer

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicInflammatory Biomarkers in Disease Prognosis
Canadian institutionsSt. Michael's HospitalUniversity Health NetworkMount Sinai HospitalUniversity of Toronto
Fundersnot available
KeywordsRed blood cell distribution widthQuartileCardiac surgeryAcute kidney injuryHeart failureRisk stratificationMultivariate analysisCardiorenal syndrome

Abstract

fetched live from OpenAlex

There is a paucity of biomarkers for risk stratification following cardiac surgery. The red blood cell distribution width (RDW) – a standard component of routine CBC – quantifies the variation of RBC volumes during their lifespan. Elevated RDW is independently associated with morbidity and mortality across various metabolic and infectious conditions, and is a surrogate measure of fragility. Whether RDW can aid in risk stratification following cardiac surgery is unknown, and was the subject of this investigation. We evaluated the association of RDW with outcomes in patients enrolled in the global TRICS III randomized trial which compared restrictive to liberal blood transfusion in adult patients undergoing cardiac surgery. The primary composite outcome included death from any cause, myocardial infarction, stroke, or new-onset severe renal failure by hospital discharge at 28-days post-operatively. Secondary outcomes included all-cause death at 28 days and 6-months respectively. This analysis included 3658 patients for whom RDW was available (mean age 72±10; 63% male; EuroScore II 7.9±2.0; 26% CABG; 19% CABG+valve; 28% valve; 27% other). Elevated RDW was significantly and independently associated with incident primary adverse cardiorenal events at 28-days (highest RDW quartile vs. lowest RDW quartile, HR 1.96 (1.48–2.60); p<0.0001). A similar association was observed for key secondary outcomes of prolonged low-output state, acute kidney injury and new renal failure at 28 days post-operatively. Strikingly, following multivariate adjustment, elevated RDW was strongly associated with all-cause death at 28-days and 6-months following surgery (highest vs. lowest RDW quartile at 28-days: HR 2.12 (1.24–3.61); p<0.01 and 6 months: HR 2.42 (1.60–3.05); p<0.0001) (table 1), (figure 1). In this large trial of patients undergoing cardiac surgery, elevated RDW was associated with an increase in cardiorenal events, and short- and long-term mortality risk after multivariate adjustment. RDW may be a simple, inexpensive and highly predictive biomarker for adverse perioperative outcomes in cardiac surgery.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.007
GPT teacher head0.241
Teacher spread0.234 · 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 source (direct Gemma or distilled Codex), 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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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