Evidence map›Paper›PMID 36239853›Full record

ArticleAging clinical and experimental research2022

Frailty, multimorbidity patterns and mortality in institutionalized older adults in Italy.

Cecilia Damiano, Graziano Onder, Maria Beatrice Zazzara, Angelo Carfì, Alberto Zucchelli, Alessandra Marengoni, Davide L Vetrano

Abstract read
In one paragraph

Article in Aging clinical and experimental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Trial
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  11. Diagnosis of frailty and implications on surgical process in the elderly: A narrative review.European journal of anaesthesiology and intensive care · 2023
    Review
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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

7 authors.

Cecilia Damiano *Department of Cardiovascular, Endocrine-Metabolic Diseases and Aging, Istituto Superiore di Sanità, Via Giano della Bella, 34-0161, Rome, Italy. cecilia.damiano@iss.it.ORCID http://orcid.org/0000-0001-5985-4164
Graziano Onder *Department of Cardiovascular, Endocrine-Metabolic Diseases and Aging, Istituto Superiore di Sanità, Via Giano della Bella, 34-0161, Rome, Italy.
Maria Beatrice ZazzaraFondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Rome, Italy.
Angelo CarfìDepartment of Geriatrics, Fondazione Policlinico Universitario "Agostino Gemelli" IRCCS, Rome, Italy.
Alberto ZucchelliDepartment of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.
Alessandra MarengoniDepartment of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.
Davide L VetranoAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.

Funding

Ministero della Salute PE-2016-02364885
6 · The paper itself

Abstract

backgroundLittle is known on how frailty influences clinical outcomes in persons with specific multimorbidity patterns.

aimsTo investigate the interplay between multimorbidity and frailty in the association with mortality in older individuals living in nursing homes (NH).

methodsWe considered 4,131 NH residents aged 60 years and over, assessed through the interRAI LTCF instrument between 2014 and 2018. Follow-up was until 2019. Considering four multimorbidity patterns identified via principal component analysis, subjects were stratified in tertiles (T) with respect to their loading values. Frailty Index (FI) considered 23 variables and a cut-off of 0.24 distinguished between high and low frailty levels. For each pattern, all possible combinations of tertiles and FI were evaluated. Their association (Hazard Ratio [HR] and 95% confidence interval) with mortality was tested in Cox regression models.

resultsIn the heart diseases and dementia and sensory impairments patterns, the hazard of death increases progressively with patterns expression and frailty severity (being HR T3 vs. T1 = 2.36 [2.01-2.78]; HR T3 vs. T1 = 2.12 [1.83-2.47], respectively). In heart, respiratory and psychiatric diseases and diabetes, musculoskeletal and vascular diseases patterns, frailty seems to have a stronger impact on mortality than patterns' expression. DISCUSSION: Frailty increases mortality risk in all the patterns and provides additional prognostic information in NH residents with different multimorbidity patterns.

conclusionsThese findings support the need to routinely assess frailty. Older people affected by specific groups of chronic diseases need a specific care approach and have high risk of negative health outcomes.

Indexed as

FrailtyAgedFrail ElderlyHumansMiddle AgedMultimorbidityNursing HomesProportional Hazards ModelsFrailtyMortalityMultimorbidity patternsNursing homesOlder persons

Identifiers

PMID36239853
PMCPMC9562060

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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.