Evidence map›Paper›PMID 37990223›Full record

ArticleJournal of translational medicine2023

Neutrophil-to-lymphocyte ratio (NLR) predicts mortality in hospitalized geriatric patients independent of the admission diagnosis: a multicenter prospective cohort study.

Mirko Di Rosa, Jacopo Sabbatinelli, Luca Soraci, Andrea Corsonello, Anna Rita Bonfigli, Antonio Cherubini, Riccardo Sarzani, Roberto Antonicelli, Giuseppe Pelliccioni, Roberta Galeazzi and 6 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed.

  1. Trial
  2. Evaluation of predictive factors for morbidity and mortality in patients undergoing surgery for peptic ulcer perforation.Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES · 2026
    Article
  3. Observational
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Observational
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Mirko Di Rosa *Centre for Biostatistics and Applied Geriatric Clinical Epidemiology, IRCCS INRCA, Ancona, Italy.
Jacopo Sabbatinelli *Department of Clinical and Molecular Sciences, Università Politecnica Delle Marche, Ancona, Italy.
Luca SoraciUnit of Geriatric Medicine, IRCSS INRCA, C.da Muoio Piccolo, 87100, Cosenza, Italy. l.soraci@inrca.it.ORCID 0000-0002-0171-3358
Andrea CorsonelloCentre for Biostatistics and Applied Geriatric Clinical Epidemiology, IRCCS INRCA, Ancona, Italy.
Anna Rita BonfigliScientific Direction, IRCCS INRCA, Ancona, Italy.
Antonio CherubiniGeriatria, Accettazione Geriatrica e Centro di ricerca per l'invecchiamento, IRCCS INRCA, Ancona, Italy.
Riccardo SarzaniDepartment of Clinical and Molecular Sciences, Università Politecnica Delle Marche, Ancona, Italy.
Roberto AntonicelliCardiology Unit, IRCCS INRCA, Ancona, Italy.
Giuseppe PelliccioniNeurology Unit, IRCCS INRCA, Ancona, Italy.
Roberta GaleazziClinic of Laboratory and Precision Medicine, IRCCS INRCA, Ancona, Italy.
Francesca MarchegianiClinic of Laboratory and Precision Medicine, IRCCS INRCA, Ancona, Italy.
Salvatore IuorioDepartment of Anaesthesiology, IRCSS INRCA, Ancona, Italy.
Daniele ColomboRespiratory Unit, IRCCS INRCA, Casatenovo, Italy.
Maurizio BurattiniInternal Medicine Department, IRCCS INRCA, Osimo, Italy.
Fabrizia LattanzioScientific Direction, IRCCS INRCA, Ancona, Italy.
Fabiola OlivieriDepartment of Clinical and Molecular Sciences, Università Politecnica Delle Marche, Ancona, Italy.

Funding

Ministero della Salute RF-2013-02358848
6 · The paper itself

Abstract

backgroundThe Neutrophil-to-lymphocyte ratio (NLR) is a marker of poor prognosis in hospitalized older patients with different diseases, but there is still no consensus on the optimal cut-off value to identify older patients at high-risk of in-hospital mortality. Therefore, in this study we aimed at both validating NLR as a predictor of death in older hospitalized patients and assess whether the presence of specific acute diseases can modify its predictive value.

methodsThis prospective cohort study included 5034 hospitalizations of older patients admitted to acute care units in the context of the ReportAge study. NLR measured at admission was considered as the exposure variable, while in-hospital mortality was the outcome of the study. ROC curves with Youden's method and restricted cubic splines were used to identify the optimal NLR cut-off of increased risk. Cox proportional hazard models, stratified analyses, and Kaplan-Meier survival curves were used to analyse the association between NLR and in-hospital mortality.

resultsBoth continuous and categorical NLR value (cut-off ≥ 7.95) predicted mortality in bivariate and multivariate prognostic models with a good predictive accuracy. The magnitude of this association was even higher in patients without sepsis, congestive heart failure, and pneumonia, and those with higher eGFR, albumin, and hemoglobin (p < 0.001). A negative multiplicative interaction was found between NLR and eGFR < 45 (p = 0.001).

conclusionsNLR at admission is a readily available and cost-effective biomarker that could improve identification of geriatric patients at high risk of death during hospital stay independent of admitting diagnosis, kidney function and hemoglobin levels.

Indexed as

LymphocytesNeutrophilsAgedHemoglobinsHumansLength of StayPrognosisProspective StudiesHemoglobinsHospitalizationMortalityNeutrophil-to-lymphocyte ratioNLROlder patientsPersonalized medicine

Identifiers

PMID37990223
PMCPMC10664513

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.