Evidence map›Paper›PMID 35818046›Full record

Trial reportBMC geriatrics2022

Resilience is associated with frailty and older age in hospitalised patients.

Marco Vincenzo Lenti, Alice Silvia Brera, Alessia Ballesio, Gabriele Croce, Lucia Padovini, Giampiera Bertolino, Antonio Di Sabatino, Catherine Klersy, Gino Roberto Corazza

Registry-linked trialAbstract readClinical Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03439410 (Development of a Mathematical Model of Clinical Complexity and of an Index for Its Practical Evaluation in Observational Prospective Longitudinal Studies. San MAtteo Complexity Study), which is not on this map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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.

NCT03439410 unknown statusnot on this map

Development of a Mathematical Model of Clinical Complexity and of an Index for Its Practical Evaluation in Observational Prospective Longitudinal Studies. San MAtteo Complexity Study

Typeobservational_patient_registrySponsorFondazione IRCCS Policlinico San Matteo di PaviaRan2017 to 2022Enrolled2,000ConditionsMultimorbidity, Health Knowledge, Attitudes, PracticeArmsClinical Complexity Index
3 · Its place in the literature

Who cites it

14 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

9 authors.

Marco Vincenzo Lenti *Department of Internal Medicine, University of Pavia, Pavia, Italy.
Alice Silvia Brera *Department of Internal Medicine, University of Pavia, Pavia, Italy.
Alessia BallesioDepartment of Internal Medicine, University of Pavia, Pavia, Italy.
Gabriele CroceDepartment of Internal Medicine, University of Pavia, Pavia, Italy.
Lucia PadoviniDepartment of Internal Medicine, University of Pavia, Pavia, Italy.
Giampiera BertolinoDepartment of Internal Medicine, University of Pavia, Pavia, Italy.
Antonio Di SabatinoDepartment of Internal Medicine, University of Pavia, Pavia, Italy.
Catherine KlersyClinical Epidemiology & Biometry, Fondazione IRCCS Policlinico San Matteo, University of Pavia, Pavia, Italy.
Gino Roberto CorazzaDepartment of Internal Medicine, University of Pavia, Pavia, Italy. gr.corazza@smatteo.pv.it.ORCID 0000-0001-9532-0573

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLittle is known about resilience in an internal medicine setting. We aimed to assess the relationship between resilience and frailty and other clinical and sociodemographic characteristics in a cohort of prospectively enrolled hospitalised patients.

methodsIn 2017-2019, we consecutively enrolled patients in our internal medicine wards. We selected all patients who filled in the 25-item Connor-Davidson resilience scale (CD-RISC). Mean resilience was evaluated according to baseline demographic (i.e., age, sex, marital and socioeconomic status) and clinical (i.e., Cumulative Illness Rating Scale [CIRS], Edmonton Frail Scale [EFS], Barthel index, Short Blessed test, length of stay [LOS]) data. A multivariable analysis for assessing factors affecting resilience was fitted.

resultsOverall, 143 patients (median age 69 years, interquartile range 52-79, 74 females) were included. Resilience was significantly lower in frail (p = 0.010), elderly (p = 0.021), dependent (p = 0.032), and more clinically (p = 0.028) and cognitively compromised patients (p = 0.028), and in those with a low educational status (p = 0.032). No relation between resilience and LOS was noticed (p = 0.597). Frail patients were significantly older (p < 0.001), had a greater disease burden as measured by CIRS comorbidity (p < 0.001) and severity indexes (p < 0.001), were more dependent (p < 0.001), more cognitively impaired (p < 0.001), and displayed a lower educational level (p = 0.011) compared to non-frail patients. At multivariable analysis, frailty (p = 0.022) and dependency (p = 0.031; according to the Barthel index) were associated with lower resilience in the age groups 18-64 and ≥ 65 years, respectively.

conclusionsLow resilience was associated with frailty and dependency with an age-dependent fashion. Studies assessing the impact of this finding on important health outcomes are needed.

trial registrationClinical Complexity in Internal Medicine Wards. San MAtteo Complexity Study (SMAC); NCT03439410 . Registered 01/11/2017.

Indexed as

FrailtyResilience, PsychologicalAgedAgingCohort StudiesComorbidityFemaleFrail ElderlyGeriatric AssessmentHumansMaleMiddle AgedAgeingClinical complexityElderlyMultimorbidity

Identifiers

PMID35818046
PMCPMC9275243

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Registered trials

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.