Evidence map›Paper›PMID 39237881›Full record

ArticleBMC geriatrics2024

Exploring the role of calf circumference as a predisposing factor for intra-hospital delirium: investigating potential gender differences: revealing potential gender variances.

Chiara Ceolin, Mario Virgilio Papa, Cristina Simonato, Sara Cazzavillan, Margherita Vergadoro, Giulia Salerno Trapella, Riccardo Sermasi, Marina De Rui, Marianna Noale, Bruno Micael Zanforlini and 5 more

Abstract read
In one paragraph

Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

15 authors.

Chiara CeolinDepartment of Medicine (DIMED) Geriatrics Division, University of Padua, Via Giustiniani 2, Padua, 35128, Italy. chiara.ceolin.1@phd.unipd.it.
Mario Virgilio PapaDepartment of Medicine (DIMED) Geriatrics Division, University of Padua, Via Giustiniani 2, Padua, 35128, Italy.
Cristina SimonatoDepartment of Medicine (DIMED) Geriatrics Division, University of Padua, Via Giustiniani 2, Padua, 35128, Italy.
Sara CazzavillanDepartment of Medicine (DIMED) Geriatrics Division, University of Padua, Via Giustiniani 2, Padua, 35128, Italy.
Margherita VergadoroDepartment of Medicine (DIMED), Department of Women's and Children's Health, University of Padua, Padua, Italy.
Giulia Salerno TrapellaDepartment of Medicine (DIMED) Geriatrics Division, University of Padua, Via Giustiniani 2, Padua, 35128, Italy.
Riccardo SermasiDepartment of Medicine (DIMED) Geriatrics Division, University of Padua, Via Giustiniani 2, Padua, 35128, Italy.
Marina De RuiDepartment of Medicine (DIMED) Geriatrics Division, University of Padua, Via Giustiniani 2, Padua, 35128, Italy.
Marianna NoaleNeuroscience Institute, National Research Council, Padua, Italy.
Bruno Micael ZanforliniDepartment of Medicine (DIMED) Geriatrics Division, University of Padua, Via Giustiniani 2, Padua, 35128, Italy.
Chiara CurreriDepartment of Medicine (DIMED) Geriatrics Division, University of Padua, Via Giustiniani 2, Padua, 35128, Italy.
Anna BertoccoDepartment of Medicine (DIMED) Geriatrics Division, University of Padua, Via Giustiniani 2, Padua, 35128, Italy.
Maria DevitaDepartment of Medicine (DIMED) Geriatrics Division, University of Padua, Via Giustiniani 2, Padua, 35128, Italy.
Giuseppe SergiDepartment of Medicine (DIMED) Geriatrics Division, University of Padua, Via Giustiniani 2, Padua, 35128, Italy.
Alessandra CoinDepartment of Medicine (DIMED) Geriatrics Division, University of Padua, Via Giustiniani 2, Padua, 35128, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalnutrition and sarcopenia significantly increase the risk of intra-hospital delirium, particularly among older adults. Given the potential correlation between calf circumference (CC) and these conditions, CC emerges as a promising predisposing factor for delirium. This study aims to investigate the independent association between delirium and anthropometric parameters, focusing on evaluating CC's predictive capacity for intra-hospital delirium risk. Additionally, it aims to compare CC's predictive performance with the widely used Mini Nutritional Assessment (MNA), while also considering potential gender disparities.

methodsThis is a retrospective study which enrolled patients aged ≥ 65 years from September 2021 to March 2022 at the Padova Hospital (Italy). Physical characteristics, intra-hospital delirium incidence, and body composition were assessed. Sarcopenia was diagnosed using the 2019 European Consensus criteria.

resultsAmong 207 subjects, delirium affected 19% of patients. CC showed a significant association with intra-hospital delirium among the analyzed anthropometric parameters. ROC curves indicated that CC's predictive capacity for delirium onset was comparable to MNA (p = 0.98), particularly in women. In a multivariable logistic regression model, female gender and higher cognitive and CC scores emerged as protective factors against delirium onset, with each unit increase in CC associated with a 24% reduction in the odds of delirium. Conversely, sarcopenia did not significantly influence delirium onset.

conclusionsCC shows promise as a predisposing factor for intra-hospital delirium, similar to MNA, albeit with significant gender differences. CC could serve as a valuable tool for assessing delirium risk among female patients. Further validation of these findings is necessary through larger-scale studies.

Indexed as

DeliriumAgedAged, 80 and overAnthropometryFemaleGeriatric AssessmentHumansItalyLegMaleMalnutritionNutrition AssessmentRetrospective StudiesRisk FactorsSarcopeniaSex FactorsCalf circumferenceDeliriumNutritional statusOlder adultsSarcopenia

Identifiers

PMID39237881
PMCPMC11378412

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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.