Evidence map›Paper›PMID 41123797›Full record

ArticleCanadian journal of anaesthesia = Journal canadien d'anesthesie2025

Preoperative inflammatory markers for prediction of postoperative clinical outcomes: a retrospective cohort study.

Jason C H Goh, Daniel Y Z Lim, Yuhe Ke, Jolin Wong, Hairil R Abdullah

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Article in Canadian journal of anaesthesia = Journal canadien d'anesthesie, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jason C H Goh *Department of Anesthesiology and Perioperative Medicine, Singapore General Hospital, Outram Road, Singapore, 169608, Singapore. jason.goh.mbbs@gmail.com.ORCID 0000-0002-3611-1445
Daniel Y Z Lim *Health Service Research Unit, Medical Board, Singapore General Hospital, Outram Road, Singapore, 169608, Singapore.
Yuhe KeDepartment of Anesthesiology and Perioperative Medicine, Singapore General Hospital, Outram Road, Singapore, 169608, Singapore.
Jolin WongDepartment of Anesthesiology and Perioperative Medicine, Singapore General Hospital, Outram Road, Singapore, 169608, Singapore.
Hairil R AbdullahDepartment of Anesthesiology and Perioperative Medicine, Singapore General Hospital, Outram Road, Singapore, 169608, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeNeutrophil:lymphocyte ratio (NLR), platelet:lymphocyte ratio (PLR), and red cell distribution width (RDW) are values derived from the complete blood count (CBC) that serve as indirect markers of inflammatory states. We aimed to evaluate their ability to predict mortality and intensive care unit (ICU) stay in perioperative adult patients.

methodsWe conducted a single-centre retrospective cohort study of 53,375 perioperative patients (≥ 21 yr) admitted to Singapore General Hospital between 2017 And 2020. We used differentiated blood cell counts acquired at preoperative assessment to obtain NLR, PLR, and RDW. We used multivariable logistic regression models and the area under the receiver operating curve (AUROC) to assess different cut-offs for each of the different inflammatory markers.

resultsThe observed 30-day mortality was 0.9% (497/53,375). Among all perioperative patients, 2.2% (1,201/53,375) had an ICU admission > 24 hr. Elevated NLR, PLR, And RDW values were predictive of 30-day mortality and ICU stay > 24 hr on univariable analysis. On multivariable Analysis, the models for 30-day mortality that included a single inflammatory index showed that the index was statistically significant (RDW odds ratio [OR], 2.69; RDW 95% confidence interval [CI], 2.10 to 3.44; model A3 NLR OR, 2.40; model A3 95% CI, 1.89 to 3.06; model A4 PLR OR, 1.91; model A4 95% CI, 1.50 to 2.43). When we included all three inflammatory indices together, RDW (OR, 2.61; 95% CI, 2.04 to 3.33) and NLR (OR, 2.07; 95% CI, 1.58 to 2.72) were statistically significant, and this model had a statistically significantly better AUROC than a model that did not include any inflammatory index.

conclusionElevated inflammatory indices were significantly associated with 30-day mortality and ICU stay of > 24 hr. In multivariable Analysis, they improved the prediction of 30-day mortality risk. Nevertheless, further validation of the use of these indirect inflammatory indices as predictors for the aforementioned outcomes is needed.

Indexed as

InflammationPostoperative ComplicationsAdultAgedBiomarkersCohort StudiesErythrocyte IndicesFemaleHumansIntensive Care UnitsLength of StayLymphocyte CountLymphocytesMaleMiddle AgedNeutrophilsBiomarkersneutrophil:lymphocyte ratioplatelet:lymphocyte ratiopostoperative intensive care unit staypostoperative mortalityred cell distribution width

Identifiers

PMID41123797

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.