Evidence map›Paper›PMID 39385197›Full record

ArticleImmunity & ageing : I & A2024

Inflammation scores based on C-reactive protein and albumin predict mortality in hospitalized older patients independent of the admission diagnosis.

Mirko Di Rosa, Jacopo Sabbatinelli, Angelica Giuliani, Miriam Carella, Daniele Magro, Leonardo Biscetti, Luca Soraci, Francesco Spannella, Massimiliano Fedecostante, Federica Lenci and 10 more

Erratum issuedAbstract read
In one paragraph

Article in Immunity & ageing : I & A, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Review
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  10. Biomarkers in Heart Failure: A Review and a Wish.International journal of molecular sciences · 2025
    Review
  11. Observational
  12. Article
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  16. Observational
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Mirko Di RosaCentre for Biostatistics and Applied Geriatric Clinical Epidemiology, IRCCS INRCA, Ancona, Italy.
Jacopo SabbatinelliDepartment of Clinical and Molecular Sciences, Università Politecnica Delle Marche, Ancona, Italy. j.sabbatinelli@staff.univpm.it.
Angelica GiulianiIstituti Clinici Scientifici Maugeri IRCCS, Cardiac Rehabilitation Unit of Bari Institute, Bari, Italy.
Miriam CarellaComplex Operative Unit of Clinical Pathology, ARNAS Civico Di Cristina e Benfratelli Hospitals, Palermo, Italy.
Daniele MagroCellular, Molecular and Clinical Pathological Laboratory, Department of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D.), University of Palermo, Palermo, Italy.
Leonardo BiscettiUnit of Neurology, IRCCS INRCA, Ancona, Italy.
Luca SoraciUnit of Geriatric Medicine, IRCCS INRCA, Cosenza, Italy.
Francesco SpannellaDepartment of Clinical and Molecular Sciences, Università Politecnica Delle Marche, Ancona, Italy.
Massimiliano FedecostanteGeriatria, Accettazione Geriatrica e Centro Di Ricerca Per L'invecchiamento, IRCCS INRCA, Ancona, Italy.
Federica LenciUnit of Nephrology and Dialysis, IRCCS INRCA, Ancona, Italy.
Elena TortatoDiabetology Unit, IRCCS INRCA, Ancona, Italy.
Lorenzo PimpiniCardiology Unit, IRCCS INRCA, Ancona, Italy.
Maurizio BurattiniInternal Medicine Department, IRCCS INRCA, Osimo, Italy.
Sara CecchiniDiagnostic Imaging, Clinical and Interventional Radiology, IRCCS INRCA, Osimo, Italy.
Antonio CherubiniDepartment of Clinical and Molecular Sciences, Università Politecnica Delle Marche, Ancona, Italy.
Anna Rita BonfigliScientific Direction, IRCCS INRCA, Ancona, Italy.
Maria CapalboIRCCS INRCA, Ancona, Italy.
Antonio Domenico ProcopioDepartment of Clinical and Molecular Sciences, Università Politecnica Delle Marche, Ancona, Italy.
Carmela Rita Balistreri *Cellular, Molecular and Clinical Pathological Laboratory, Department of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D.), University of Palermo, Palermo, Italy.
Fabiola Olivieri *Department of Clinical and Molecular Sciences, Università Politecnica Delle Marche, Ancona, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systemic inflammation significantly increases the risk of short- and long-term mortality in geriatric hospitalized patients. To predict mortality in older patients with various age-related diseases and infections, including COVID-19, inflammatory biomarkers such as the C-reactive protein (CRP) to albumin ratio (CAR), and related scores and indexes, i.e. Glasgow Prognostic Score (GPS), modified GPS (mGPS), and high sensitivity (hs)-mGPS, have been increasingly utilized. Despite their easy affordability and widespread availability, these biomarkers are predominantly assessed for clinical purposes rather than predictive applications, leading to their underutilization in hospitalized older patients. In this study, we investigated the association of CAR, GPS, mGPS, and hs-mGPS with short-term mortality in 3,206 geriatric hospitalized patients admitted for acute conditions, irrespective of admission diagnosis. We observed that unit increases of CAR, and the highest classes of GPS, mGPS, and hs-mGPS were significantly associated with a two- to threefold increased risk of death, even adjusting the risk for different confounding variables. Interestingly, a hs-mGPS of 2 showed the highest effect size. Furthermore, gender analysis indicated a stronger association between all CRP-albumin based parameters and mortality in men, underscoring the gender-specific relevance of inflammation-based circulating parameters in mortality prediction. In conclusion, scores based on serum CRP and albumin levels offer additional guidance for the stratification of in-hospital mortality risk in older patients by providing additional information on the degree of systemic inflammation.

Indexed as

C-reactive proteinCRP-to-albumin ratioIn-hospital mortalityOlder patients

Identifiers

PMID39385197
PMCPMC11463076

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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.